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Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries

Published online by Cambridge University Press:  27 August 2025

Feten Fekih-Romdhane
Affiliation:
Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia Department of Psychiatry Ibn Omrane, Razi Hospital, Manouba, Tunisia
Wissal Cherif
Affiliation:
Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia Department of Psychiatry Ibn Omrane, Razi Hospital, Manouba, Tunisia
Amthal Alhuwailah
Affiliation:
Department of Psychology, https://ror.org/021e5j056 Kuwait University , Kuwait, Kuwait
Mirna Fawaz
Affiliation:
Nursing Department, Faculty of Health Sciences, https://ror.org/02jya5567 Beirut Arab University , Beirut, Lebanon
Hanaa Ahmed Mohamed Shuwiekh
Affiliation:
Department of Psychology, https://ror.org/023gzwx10 Fayoum University , Faiyum, Egypt
Mai Helmy
Affiliation:
Psychology Department, College of Education, https://ror.org/04wq8zb47 Sultan Qaboos University , Muscat, Oman
Ibrahim Hassan Mohammed Hassan
Affiliation:
https://ror.org/00jxshx33 South Valley University , Qena, Egypt
Abdallah Y Naser
Affiliation:
Department of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, https://ror.org/04d4bt482 Isra University , Amman, Jordan
Btissame Zarrouq
Affiliation:
Faculty of Medicine and Pharmacy, Laboratory of Epidemiology and Research in Health Sciences, Université Sidi Mohammed Ben Abdellah, Fez, Morocco
Marianne Chebli
Affiliation:
School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon
Yara El Frenn
Affiliation:
School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon
Gabriella Yazbeck
Affiliation:
School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon
Gaelle Salameh
Affiliation:
School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon
Ayman Hamdan-Mansour
Affiliation:
School of Nursing, University of Jordan, Amman, Jordan
Eqbal Radwan
Affiliation:
Department of Biology, Faculty of Science, https://ror.org/057ts1y80 Islamic University of Gaza , Gaza Strip, Palestine
Abir Hakiri
Affiliation:
Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia
Sahar Obeid
Affiliation:
Social and Education Sciences Department, School of Arts and Sciences, Lebanese American University, Jbeil, Lebanon
Majda Cheour
Affiliation:
Faculty of Medicine of Tunis, Tunis El Manar University, Tunis, Tunisia Department of Psychiatry Ibn Omrane, Razi Hospital, Manouba, Tunisia
Souheil Hallit*
Affiliation:
School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon Psychology Department, College of Humanities, Effat University, Jeddah, Saudi Arabia Applied Science Research Center, Applied Science Private University, Amman, Jordan
*
Corresponding author: Souheil Hallit; Email: souheilhallit@usek.edu.lb
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Abstract

This study aimed to perform a cross-country validation of the Arabic version of the World Health Organization 5-item (WHO-5) Well-Being Index, in terms of factor structure, composite reliability, cross-gender measurement invariance and concurrent validity. We carried out a cross-sectional, web-based study on a total of 3,247 young adults (aged 18–35 years) from six Arab countries (Tunisia, Lebanon, Egypt, Jordan, Morocco and Kuwait). Confirmatory Factor Analysis showed that the one-factor model demonstrated acceptable fit across all six countries. In addition, the Arabic WHO-5 Well-Being Index yielded high reliability coefficients in samples from each country (McDonald’s ω and Cronbach’s α = .92–.96), across genders (ω = .95 in men and .94 in women) and age groups (ω = .94/α = .94 in participants aged ≤25 years and ω =.96/α =.96 in those aged ≥26 years). Multi-group analyses demonstrated that configural, metric and scalar invariance were supported across gender, countries and age groups. Regarding concurrent validity, WHO-5 Well-being scores were strongly and significantly inversely correlated with depression, anxiety, stress, suicidal ideation and insomnia severity. This study provides a brief, valid and reliable Arabic version of the WHO-5 Well-Being Index that can be applied cross-nationally among Arabic-speaking young adult populations for screening and research purposes.

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Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
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© The Author(s), 2025. Published by Cambridge University Press

Impact statement

There is growing recognition of significant psychological distress among Arab populations, underscoring the need for contextualized and culturally sensitive prevention approaches that focus on subjective well-being (SWB) in Arab countries. However, the cross-country validity of well-being scales remains to date underexplored in the region. The current study is the first to explore the cross-country validity of the WHO-5 Well-Being Index among young adults in six Arab countries across the Middle East and North Africa region. Our findings demonstrated that the scale’s unidimensional structure was consistent across genders, age groups and respondents from different nations. Convergent and divergent validity were good, and reliability was excellent. Overall, these findings suggest that the Arabic WHO-5 measures the originally intended SWB construct in the specific context conditions of Arabic-speaking populations. By establishing the cross-country validity of the Arabic WHO-5, this study supports its broader application in epidemiological research to explore SWB among Arabic-speaking young adults across diverse geographic areas.

Introduction

A state of good mental health is not limited to the absence of mental illnesses, but is also described as a state of well-being in all bodily, psychological and social domains (Diener et al., Reference Diener, Scollon, Lucas and Diener2009). The concept of subjective well-being (SWB) encompasses both negative (e.g., depression and anxiety) and positive aspects (e.g., happiness, satisfaction and contentment) (McDowell, Reference McDowell2010; Barden et al., Reference Barden, Conley and Young2015). The SWB construct is complex, as it concerns the cognitive, behavioral, emotional, social and personal spheres of human experience, and their optimal functioning (Keyes, Reference Keyes2002; Huppert and Ruggeri, Reference Huppert, Ruggeri, Bhugra, Bhui, Wong and Gilman2018). SWB may have various connotations for different populations and cultures (World Health Organization, 2017). It has universally and consistently been proven to be a key outcome and predictor of several major life domains, and to contribute to both physical and mental health (Kansky, Reference Kansky2017). SWB has been found to be closely related to a range of important life domains, including positive development, successful learning (Diener et al., Reference Diener, Pressman, Hunter and Delgadillo-Chase2017), high-quality social relationships, better academic/work performance, less mental distress, and increased resilience in the face of stressors (Kansky, Reference Kansky2017). Given the well-established impact of SWB on health, several researchers have called for its inclusion as an outcome measure of mental health programs (Thornicroft and Slade, Reference Thornicroft and Slade2014). Therefore, several countries have already included SWB as a routine assessment to inform government decisions and public policy (Dolan et al., Reference Dolan, Layard and Metcalfe2011; Helliwell et al., Reference Helliwell, Layard, Sachs and Neve2021). In recent years, particular emphasis has been placed on collecting self-rated SWB data in clinical settings (Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015), in the general population (De Kock et al., Reference De Kock, Latham, Leslie, Grindle, Munoz, Ellis, Polson and O’Malley2021), and in research (Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015; Lara-Cabrera et al., Reference Lara-Cabrera, Bjørkly, De las, Pedersen and Mundal2020) in an attempt to deepen understanding of the SWB concept and its applications.

One of the well-known, free-to-use and most widely used scales for assessing SWB is the WHO 5-item (WHO-5) Well-Being Index (World Health Organization, 1998; Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015). The WHO-5 Well-Being Index allows for a simple, brief self-report evaluation of the SWB construct over a 2-week period. It contains five positively worded items scored on a six-point scale. All items focus on positive health statements (Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015) and measure a global hedonic dimension of SWB (Bech, Reference Bech2012). The WHO-5 Well-Being Index has demonstrated good psychometric qualities in a unidimensional structure, with high internal consistency and high convergent associations with other well-being measures (e.g., Bech et al., Reference Bech, Olsen, Kjoller and Rasmussen2003). Since its development, the WHO-5 Well-Being Index has gained global popularity and has been translated into more than 30 languages (World Health Organization, 2024), predominantly in high-income Western and Asia-Pacific settings. The different linguistic versions of the WHO-5 Well-Being Index include Icelandic (Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014), Swedish (Löve et al., Reference Löve, Andersson, Moore and Hensing2014, Spanish (Bonnín et al., Reference Bonnín, Yatham, Michalak, Martínez-Arán, Dhanoa, Torres, Santos-Pascual, Valls, Carvalho, Sánchez-Moreno, Valentí, Grande, Hidalgo-Mazzei, Vieta and Reinares2018), Polish (Cichoń et al., Reference Cichoń, Kiejna, Kokoszka, Gondek, Rajba, Lloyd and Sartorius2020), Italian (Nicolucci et al., Reference Nicolucci, Giorgino, Cucinotta, Zoppini, Muggeo, Squatrito, Corsi, Lostia, Pappalardo, Benaduce, Girelli, Galeone, Maldonato, Perriello, Pata, Marra and Coronel2004), Romanian (Preoteasa and Preoteasa, Reference Preoteasa and Preoteasa2015), Danish (Schougaard et al., Reference Schougaard, de Thurah, Bech, Hjollund and Christiansen2018), Sinhala (Perera et al., Reference Perera, Jayasuriya, Caldera and Wickremasinghe2020), Brazilian Portuguese (de Souza and Hidalgo, Reference De Souza and Hidalgo2012), Farsi (Dadfar et al., Reference Dadfar, Momeni Safarabad, Asgharnejad Farid, Nemati Shirzy and Ghazie Pour Abarghouie2018), Turkish (Eser et al., Reference Eser, Çevik, Baydur, Güneş, Esgin, Öztekin Ç, Eker, Gümüşsoy, Eser and Özyurt2019), Malay (Suhaimi et al., Reference Suhaimi, Makki, Tan, Silim and Ibrahim2022), Thai (Saipanish et al., Reference Saipanish, Lotrakul and Sumrithe2009), Taiwanese (Lin et al., Reference Lin, Lee, Wu, Huang, Sun and Tsen2013), Bangla (Faruk et al., Reference Faruk, Alam, Chowdhury and Soron2021), Japanese (Awata et al., Reference Awata, Bech, Yoshida, Hirai, Suzuki, Yamashita, Ohara, Hinokio, Matsuoka and Oka2007), Korean (Moon et al., Reference Moon, Kim and Kim2014), Chinese (Fung et al., Reference Fung, Kong, Liu, Huang, Xiong, Jiang, Zhu, Chen, Sun, Zhao and Yu2022), and Swahili Kenyan (Chongwo et al., Reference Chongwo, Ssewanyana, Nasambu, Mwangala, Mwangi, Nyongesa, Newton and Abubakar2018). All these versions confirmed the robustness of the WHO-5 Well-Being Index and its utility in different research settings and across different geographical contexts (Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015). Over the years, the WHO-5 Well-Being Index has been increasingly and largely adopted for epidemiological research in various fields, including pediatrics (Allgaier et al., Reference Allgaier, Pietsch, Frühe, Prast, Sigl-Glöckner and Schulte-Körne2012), adolescentology (Rose et al., Reference Rose, Joe, Williams, Harris, Betz and Stewart-Brown2017), geriatrics (Allgaier et al., Reference Allgaier, Kramer, Saravo, Mergl, Fejtkova and Hegerl2013), occupational psychology (Sischka et al., Reference Sischka, Schmidt and Steffgen2018), and coronavirus disease 2019 (COVID-19)-related research (Lara-Cabrera et al., Reference Lara-Cabrera, Betancort, Muñoz-Rubilar, Rodríguez-Novo, Bjerkeset and De Las Cuevas2022). Furthermore, numerous studies have indicated that the WHO-5 Well-Being Index is suitable as a measure to screen for depression (Allgaier et al., Reference Allgaier, Kramer, Saravo, Mergl, Fejtkova and Hegerl2013; Omani-Samani et al., Reference Omani-Samani, Maroufizadeh, Almasi-Hashiani, Sepidarkish and Amini2019) and to monitor treatment response (Newnham et al., Reference Newnham, Hooke and Page2010a, Reference Newnham, Hooke and Page2010b).

We found three previous validations of the WHO-5 Well-Being Index in the Arabic language. The first one was performed in Lebanon among a relatively small sample (N = 121) and a gender-disproportionate group (75.2% females) composed of both community-dwelling and outpatient older individuals (Sibai et al., Reference Sibai, Chaaya, Tohme, Mahfoud and Al-Amin2009). Results indicated that the Arabic WHO-5 Well-Being Index had satisfactory external and internal validity in detecting depression among Lebanese older adults (Sibai et al., Reference Sibai, Chaaya, Tohme, Mahfoud and Al-Amin2009). The second validation was performed among a small sample of Saudi adults (N = 190, 59.5% females) and revealed a unidimensional latent structure of the scale, as well as high reliability and good convergent/divergent validity (Kassab Alshayea, Reference Kassab Alshayea2023. The third validation was performed in a sample of patients with schizophrenia from Lebanon, in whom the WHO-5 Well-Being Index showed a unidimensional structure, good internal consistency reliability (α = .80), cross-gender measurement invariance and good concurrent validity (Fekih-Romdhane et al., Reference Fekih-Romdhane, Al Mouzakzak, Abilmona, Dahdouh and Hallit2024).

Well-being: Arab perspectives

People from Arab countries have been struggling over the past years with a high burden of mental health problems (Ibrahim, Reference Ibrahim and Laher2021). Mental disorder rates have exceeded the expected levels in Eastern Mediterranean Arab countries, resulting in a steadily increasing burden of disease (Mokdad et al., Reference Mokdad, Charara, El Bcheraoui, Khalil, Moradi-Lakeh, Afshin, Kassebaum, Collison, Krohn and Chew2018). This burden is expected to rise due to the unstable political, economic and social climate in the Arab region (e.g., Charlson et al., Reference Charlson, Steel, Degenhardt, Chey, Silove, Marnane and Whiteford2012; Farran, Reference Farran2021), and mental health will likely pose major challenges and strains on the already fragile resources in the coming years (Charara et al., Reference Charara, Forouzanfar, Naghavi, Moradi-Lakeh, Afshin, Vos, Daoud, Wang, El Bcheraoui and Khalil2017). Despite these alarming predictions, mental health care systems in Arab countries continue to be centralized, hospital-based and mainly focused on secondary care and disease treatment, thus neglecting the crucial role that SWB may play in alleviating mental health issues and promoting adaptive psychological outcomes (Basurrah et al., Reference Basurrah, Al-Haj Baddar and Di Blasi2022). Such strategies are inappropriate and ineffective for dealing with mental health in the Arab population. Therefore, contextualized and culturally sensitive prevention approaches focused on SWB are urgently needed in Arab countries.

Recently, growing attention has been directed to the positive psychology field, and initial local research initiatives aiming at promoting SWB have begun to emerge (Basurrah et al., Reference Basurrah, Al-Haj Baddar and Di Blasi2021). However, emerging studies are in no way comparable to non-Arab research in this field, both in terms of quality and quantity (Basurrah et al., Reference Basurrah, Al-Haj Baddar and Di Blasi2021). In addition, experimental research on SWB in the Arab region is still in its infancy and suffers from major methodological flaws (Basurrah et al., Reference Basurrah, Al-Haj Baddar and Di Blasi2021). We found only limited information available on SWB among Arab people, and very few studies using the WHO-5 Well-Being Index while focusing on specific populations (e.g., Youth in Jordan; Jamaluddine and Sieverding, Reference Jamaluddine and Sieverding2022), Saudi women (Jradi and Abouabbas, Reference Jradi and Abouabbas2017), Emirati and other Arabic-speaking adults (Elbarazi et al., Reference Elbarazi, Saddik, Grivna, Aziz, Elsori, Stip and Bendak2022) and aid workers exposed to cumulative trauma in Palestine (Veronese et al., Reference Veronese, Pepe, Massaiu, De and Robbins2017). One of the main factors that hampers advances in mental health research and access to evidence-informed care in Arab countries is the lack of valid and reliable measurement tools (Zeinoun et al., Reference Zeinoun, Akl, Maalouf and Meho2020). Providing psychometrically sound measures of the SWB construct could aid in designing and implementing evidence-informed interventions aimed at improving Arab people’s well-being.

Rationale of the present study

SWB is a culturally dependent and context-driven concept (Rice and Steele, Reference Rice and Steele2004; Tov and Diener, Reference Tov, Diener and Diener2009). There is evidence that individuals from collectivist cultures tend to exhibit lower ratings compared to those from individualistic cultures, which may result in distinct levels of functioning for the WHO-5 Well-Being Items (Brailovskaia et al., Reference Brailovskaia, Lin, Scholten, Zhu, Fu, Shao, Hu, Li, Guo, Cai, Lu and Margraf2022). Despite this evidence, the cross-country validity of well-being scales remains underexplored (Cooke et al., Reference Cooke, Melchert and Connor2016). The vast majority of previous validation and adaptation studies of the WHO-5 Well-Being Index were performed in Western countries with individualistic backgrounds (Zhang et al., Reference Zhang, Balloo, Hosein and Medland2024). In addition, the limited body of research available on the cross-country validity of the WHO-5 Well-Being Index has mainly involved Western and Asian countries. For example, Carrozzino et al. (Reference Carrozzino, Christensen, Patierno, Woźniewicz, Møller, Arendt, Zhang, Yuan, Sasaki, Nishi, Berrocal Montiel, Ceccatelli, Mansueto and Cosci2022) investigated the validity of the WHO-5 Well-Being Index in a sample of 3,762 adults from 5 European (i.e., Italy, Poland and Denmark) and non-European (i.e., China and Japan) countries. Sischka et al. (Reference Sischka, Costa, Steffgen and Schmidt2020) demonstrated that the WHO-5 Well-Being Index is psychometrically appropriate and cross-nationally applicable in different nationally representative samples of individuals (N = 43,469) across 35 European countries. Another study also found that the WHO-5 Well-Being Index showed good validity and reliability across Spain, Chile and Norway in nurses who worked during the COVID-19 pandemic (Lara-Cabrera et al., Reference Lara-Cabrera, Betancort, Muñoz-Rubilar, Rodríguez-Novo, Bjerkeset and De Las Cuevas2022). More recently, a large multinational study confirmed the unidimensional measurement structure of the WHO-5 Well-Being Index in a sample of adolescents from 43 countries (in Europe, Central Asia and North America) (Sischka et al., Reference Sischka, Martin, Residori, Hammami, Page, Schnohr and Cosma2025). The study also demonstrated configural and metric cross-country invariance, as well as appropriate patterns of correlations with life satisfaction, self-rated health, loneliness and psychosomatic complaints (Sischka et al., Reference Sischka, Martin, Residori, Hammami, Page, Schnohr and Cosma2025). Cross-country validation studies are crucial to prove that the measure covers transcultural components of the subjective well-being construct, and can be used for cross-country comparison purposes in international multicenter research.

Although people from different Arab countries share similarities (including the language, geography, collectivist identity, religion and a young age structure; Harb, Reference Harb, Amer and Awad2016), diversity also exists. Large cross-country studies have shown that the way Arab people view and behave toward mental health issues is not uniform and appears to be largely shaped by the local context of each Arab country (Fekih-Romdhane et al., Reference Fekih-Romdhane, Daher-Nashif, Stambouli, Alhuwailah, Helmy, Shuwiekh, Mohamed Lemine, Radwan, Saquib, Saquib, Fawaz, Zarrouq, Naser, Obeid, Saleh, Haider, Miloud, Badrasawi, Hamdan-Mansour, Barbato, Bakhiet, Sayem, Adawi, Grein, Loch, Cheour and Hallit2023a, Reference Fekih-Romdhane, Jahrami, Stambouli, Alhuwailah, Helmy, Shuwiekh, Lemine, Radwan, Saquib, Saquib, Fawaz, Zarrouq, Naser, Obeid, Hallit, Saleh, Haider, Daher-Nashif, Miloud, Badrasawi, Hamdan-Mansour, Barbato, Bakhiet, Sayem, Adawi, Grein, Cherif, Chalghaf, Husni, Alrasheed and Cheour2023b). Taking into consideration these cultural disparities, it is necessary to examine whether the WHO-5 Well-Being Index measures the SWB construct accurately in different Arab countries and cultural backgrounds. In this article, we aimed to contribute to the literature on SWB in different ways. First, we propose to investigate, for the first time, the cross-country validity of the WHO-5 Well-Being Index across different Arab countries to ensure its suitability for capturing and providing reliable information on the SWB construct in different Arab contexts. Second, as the two previous validations were conducted in Arab Middle East countries, we intended to expand our investigation to North African countries (i.e., Tunisia and Morocco) that have not been the subject of previous validation studies of the WHO-5 Well-Being Index. Third, we sought to examine psychometric properties that have not been previously examined, such as measurement invariance across genders. Gender differences in SWB are culturally determined, as they may be substantially affected by social norms and adherence to traditional gender roles (Matud et al., Reference Matud, López-Curbelo and Fortes2019). However, variations across genders may also be largely driven by methodological factors (Graham and Chattopadhyay, Reference Graham and Chattopadhyay2013). For this reason, we sought to verify that the WHO-5 Well-Being Index invariantly measures the SWB factor across gender groups. Fourth, we aimed to explore its concurrent validity by calculating Pearson’s correlation coefficients between the WHO-5 Well-Being Index and measures of depression, anxiety, stress, suicidal ideation and insomnia. We hypothesized that the Arabic version of the WHO-5 Well-Being Index would show a single-factor structure and satisfactory composite reliability in all samples from different countries, and would be invariant across gender groups. We also expected that the concurrent validity of the Arabic WHO-5 Well-Being Index would be supported through significant negative correlations with depression and other psychopathology measures.

Methods

Study design and participants

This was a multi-country, web-based, cross-sectional study. Several researchers from different institutions in the 22 Arab countries were invited to collaborate in our multinational project and join our team as co-investigators and co-authors. Researchers from six Arab countries accepted our invitation: Tunisia, Lebanon, Egypt, Jordan, Morocco and Kuwait. Arabic-speaking individuals from the general population, aged between 18 and 35 years and residing in an Arab country during the study period, were considered eligible to participate. This age range was chosen to guarantee homogeneous sampling and eliminate any differences resulting from age. Young adults aged 18–35 years have been found to display a worse health profile than both adolescents and those in their late 30s (Stroud et al., Reference Stroud, Walker, Davis and Irwin2015). The committee on Improving the Health, Safety and Well-Being of Young Adults (convened by the National Research Council and the Institute of Medicine) concluded in their report that young adulthood is developmentally “of critical nature” within the life course (Committee on Improving the Health, Safety, and Well-Being of Young Adults et al., Reference Bonnie, Stroud and Breiner2015). Accordingly, the committee recommended that “outcomes should be measured specifically for young adults,” and that young adults should be treated as a distinct subpopulation in programming, planning, policy and research (Committee on Improving the Health, Safety, and Well-Being of Young Adults et al., Reference Bonnie, Stroud and Breiner2015). Following these recommendations, we aimed to test the psychometric properties of the WHO-5 Well-Being Index exclusively in young adults within a relatively narrow age range. The survey was open between February and June 2022, and all responses collected during that period were included in the analysis.

All participants fulfilling these criteria were sampled using a convenience sampling technique and were invited to respond to a uniform, anonymous web-based questionnaire through social media platforms (including Instagram, Facebook and WhatsApp). Recruitment via Instagram was done using posts and stories shared by the research team and collaborators. The posts included a description of the study, the eligibility criteria and a link to the survey. No specific hashtags were used. Engagement was driven through reposts and snowball sampling. Participants were also asked to forward the link to other eligible people they might know, using the snowball technique (Parker et al., Reference Parker, Scott, Geddes, Atkinson, Delamont, Cernat, Sakshaug and Williams2019). Snowballing techniques and online recruitment of non-help-seeking participants are typically adopted for research in this area (e.g., see Preti et al., Reference Preti, Raballo, Kotzalidis, Scanu, Muratore, Gabbrielli, Tronci, Masala, Petretto and Carta2018). This recruitment approach was also chosen because several Arab countries boast high Internet penetration rates (varying from 72% in Tunisia to 100% in Kuwait) (World Bank, 2023), and some of the highest rates of social media usage in the world (Radcliffe et al., Reference Radcliffe, Abuhmaid and Mahliaire2023). Eight out of 10 Arab youth aged 18–24 years reported daily usage of messaging apps, including Facebook (72%), Instagram (61%) and YouTube (53%) (Radcliffe et al., Reference Radcliffe, Abuhmaid and Mahliaire2023). The questionnaire was administered using the free online survey tool provided by Google Forms. The study information and answering instructions were provided online via text; participants were asked to read them and give their informed consent before filling out the survey. Participants did not receive any incentives for participation. The study was performed in accordance with the Declaration of Helsinki for human research. The research protocol was approved by the Ethics Committees of the home institutions of the Principal Investigators, the Psychiatric Hospital of the Cross Ethics Committee, Jal Eddib, Lebanon (Ref: HPC-012-2022), and the Ethics Committee of the Razi Psychiatric Hospital, Manouba, Tunisia (Ref: ECRPH-2022-0019).

The total sample consisted of 3,247 participants, with a mean age of 23.36 ± 4.62 years. The majority of the participants were females (71.6%), single (75.9%) and had a university level of education (79.5%). The details of the sample by country are summarized in Supplementary Material (Supplementary Table S1).

Minimum sample size

As a rule of thumb, simulation studies show that with normally distributed indicator variables and no missing data, a reasonable sample size for a simple Confirmatory Factor Analysis (CFA) model is about N = 150 (Muthén and Muthén, Reference Muthén and Muthén2002), which was far exceeded in our sample. The resulting sample size was sufficiently large to provide adequate statistical power for all our analyses, including measurement invariance testing across groups (Meade et al., Reference Meade, Johnson and Braddy2008).

Measures

The WHO-5 Well-Being Index

This instrument was developed in 1998 and has been translated into 30 different languages. The WHO-5 consists of five items and assesses subjective psychological well-being. Each item is scored on a 5-point Likert scale with 5 = all of the time to 0 = none of the time. Therefore, the total score ranges from 0 (absence of well-being) to 25 (maximum well-being) (World Health Organization 2019). Raw scores are then multiplied by 4 to obtain a percentage score ranging from 0 (worst) to 100 (best). The Arabic version of this instrument was validated in Lebanon among elderly people (Sibai et al., Reference Sibai, Chaaya, Tohme, Mahfoud and Al-Amin2009).

Columbia-Suicide Severity Rating Scale (C-SSRS)

This scale is composed of five items, rated as a no/yes type of answer. It evaluates suicidality over the past month. Higher scores indicate higher suicidal ideation. This scale has been validated in the Arabic language among Arabic-speaking adults from Lebanon, where it showed a unidimensional factor structure, good internal consistency (α = .797) and appropriate convergent validity with measures of depression, anxiety and self-esteem (Zakhour et al., Reference Zakhour, Haddad, Sacre, Fares, Akel, Obeid, Salameh and Hallit2021). In the present sample, the C-SSRS yielded a McDonald’s ω of .79 and a Cronbach’s α of .79.

Insomnia Severity Index (ISI)

This scale is composed of seven items, rated on a 4-point Likert scale. Higher scores reflect more severe insomnia. The Arabic validated version of the ISI was used, which demonstrated good reliability (α = .833) and good validity in a sample of Arabic-speaking community-dwelling adults from Lebanon (Hallit et al., Reference Hallit, Haddad, Hallit, Al Karaki, Malaeb, Sacre, Kheir, Hajj and Salameh2019). In the present sample, the ISI yielded a McDonald’s ω of .82 and a Cronbach’s α of .82.

Depression, Anxiety, and Stress Scale 8 items (DASS-8)

The DASS-8 is composed of eight items measuring depression (three items), anxiety (three items) and stress (two items). Items are rated on a 4-point Likert scale. Higher scores reflect higher depression, anxiety and stress. The Arabic-validated DASS-8 was used in this study, which showed excellent psychometric properties in terms of internal consistency (α = .94), convergent validity, predictive validity and discriminant validity (Ali et al., Reference Ali, Alkhamees, Hallit, Al-Dwaikat, Khatatbeh and Al-Dossary2024). In this study, the DASS-8 showed good internal consistency reliability for all three dimensions: depression (ω = .91/α = .91), anxiety (ω = .90/α = .90) and stress (ω = .73/α = .73).

Demographics

Participants were asked to provide their demographic details, including age, gender and education level.

Analytic strategy

Confirmatory Factor Analysis

There were no missing responses in the dataset since all questions were required in the Google Forms. Duplicate responses were screened and removed using Excel’s “Remove Duplicates” function, based on identical patterns in response time stamps and item-level data. We used data from the total sample to conduct a CFA using the SPSS AMOS v.29 software. Our intention was to test the original model of the WHO-5 Well-being scale (i.e., one-factor model). Parameter estimates were obtained using the maximum likelihood method with corresponding fit indices. To identify the model, we used the marker variable approach (Little et al., Reference Little, Cunningham, Shahar and Widaman2002), in which the factor loading of the first item (Well-being 1) was fixed to 1 to scale the latent variable. This is a common method for setting the metric of latent constructs in CFA (Schreiber, Reference Schreiber2008, Reference Schreiber2017). Multiple indices were calculated to assess model fit: the normed model chi-square (χ 2/df), the root mean square error of approximation (RMSEA), the Tucker–Lewis Index (TLI) and the comparative fit index (CFI). Values ≤5 for χ 2/df, ≤0.08 for RMSEA and 0.90 for CFI and TLI indicate good fit of the model to the data (Hu and Bentler, Reference Hu and Bentler1999). In addition to reporting global fit indices (RMSEA, CFI, TLI and standardized root mean square residual [SRMR]), we examined local fit through standardized residual covariances and modification indices, as recommended by previous authors (Steiger, Reference Steiger2007; Kline, Reference Kline2023; Goretzko et al., Reference Goretzko, Siemund and Sterner2024). These local diagnostics help identify specific areas of model misfit that global indices may obscure. Moreover, evidence of convergent validity was assessed in this subsample using the Fornell–Larcker criterion, with average variance extracted (AVE) values of ≥0.50 considered adequate (Malhotra and Dash, Reference Malhotra and Dash2011). Multivariate normality was not verified at first (Bollen-Stine bootstrap p = .002); therefore, we performed a nonparametric bootstrapping procedure.

Measurement invariance

To examine gender, country and age (dichotomized into ≤25 vs. ≥26 years (Carlucci et al., Reference Carlucci, Watkins, Sergi, Cataldi, Saggino and Balsamo2018) invariance of WHO-5 Well-being scores, we conducted multigroup CFA (Chen, Reference Chen2007) using the total sample. Measurement invariance was assessed at the configural, metric and scalar levels (Vadenberg and Lance, Reference Vadenberg and Lance2000). We accepted ΔCFI ≤ 0.010 and ΔRMSEA ≤ 0.015 or ΔSRMR ≤ 0.010 as evidence of invariance (Chen, Reference Chen2007). Differences between genders and age groups were evaluated using the Student t-test, and differences between countries were evaluated using the analysis of variance test.

Further analyses

Reliability was assessed using McDonald’s ω and Cronbach’s α, with values >.70 reflecting adequate reliability (Malkewitz et al., Reference Malkewitz, Schwall, Meesters and Hardt2023). The WHO-5 Well-being total score was considered normally distributed since the skewness and kurtosis values fell between ±1 (Hair et al., Reference Hair, Sarstedt, Ringle and Gudergan2017). Therefore, to assess concurrent and divergent validity, we examined bivariate correlations between the WHO-5 Well-Being Index and the CSRS, ISI and DASS-8 scores using the Pearson test. Based on Cohen (Reference Cohen1992), values ≤.10 were considered weak, ~.30 as moderate and ~.50 as strong correlations.

Results

The information on the distribution (mean, SD, skewness and kurtosis) of each WHO-5 Well-Being Index item, stratified by country and gender, is summarized in Table 1.

Table 1. Distribution (mean, SD, skewness and kurtosis) of each WHO-5 Well-Being Index item, stratified by country and gender

CFA of the Arabic WHO-5 Well-Being Index

Except for the RMSEA, most CFA model fit indices indicated that the fit of the one-factor model of the Arabic WHO-5 Well-Being Index was acceptable: χ 2 = 223.44, df = 5 (p < .001), RMSEA = 0.116 (90% confidence interval [CI] = 0.103, 0.129), SRMR = 0.017, CFI = 0.985, TLI = 0.970. When a correlation between the residuals of items 1 and 4 was added (after showing a high modification index), the results improved further as follows: χ 2 = 57.71, df = 4 (p < .001), RMSEA = 0.064 (90% CI = 0.050, 0.080), SRMR = 0.009, CFI = 0.996, TLI = 0.991. The standardized estimates of factor loadings (Figure 1) and the AVE values (0.77) were all excellent. The same analysis was conducted for each country and showed adequate results as well (Table 2). The results of the standardized residual covariances and modification indices can be found in Supplementary Tables S2 and S3.

Figure 1. Standardized factor loadings derived from the Confirmatory Factor Analysis of the Arabic WHO-5 Well-Being Index in the total sample.

Table 2. Confirmatory Factor Analysis and standardized loading factors of the Arabic WHO-5’s items per country

Internal and composite reliability

Internal reliability of the WHO-5 Well-being scores was adequate in the total sample (ω = .94/α = .94), in men (ω = .95/α = .95) and in women (ω = .94/α = .94), in participants aged ≤25 years (ω = .94/α = .94) and ≥ 26 years (ω = .96/α = .96) and within each country as follows: Tunisia (ω = .96/α = .96), Lebanon (ω = .95/α = .96), Kuwait (ω = .94/α = .94), Egypt (ω = .92/α = .92), Jordan (ω = .93/α = .93) and Morocco (ω = .94/α = .94).

Measurement invariance and differences by gender, age and country

As reported in Table 3, indices suggested that configural, metric and scalar invariance were supported across gender, country and age categories. The results showed that a significantly higher mean WHO-5 Well-being score was found in males compared to females (10.30 ± 6.65 vs. 8.73 ± 6.17; t (3245) = 6.37; p < .001, Cohen’s d = 0.248). Moreover, the highest mean well-being score was found in Morocco (44.2 ± 26.84) and Kuwait (40.4 ± 27.04), followed by Lebanon (39.8 ± 25.24), Jordan (36.84 ± 24.04), Tunisia (33.6 ± 25.88) and Egypt (32.2 ± 22.72), with the difference being significant (F = 15.96, p < .001). The Bonferroni post-hoc analysis showed a significant difference between Tunisia and Lebanon (p < .001), Tunisia and Kuwait (p < .001), Tunisia and Morocco (p < .001), Lebanon and Egypt (p < .001), Kuwait and Egypt (p < .001), Egypt and Morocco (p < .001), and Jordan and Morocco (p = .027).

Table 3. Measurement invariance of the Arabic WHO-5 Well-Being Index in the total sample

Note: CFI, Comparative Fit Index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual.

Finally, a higher mean well-being score was found in participants aged 26 years and above compared to those aged 25 years and below (9.61 ± 6.61 vs. 9.02 ± 6.25; t (3,245) = −2.26; p < .001, Cohen’s d = .093).

Concurrent validity (total sample)

As for concurrent validity, WHO-5 Well-being scores showed a moderate significant inverse correlation with DASS depression (r = −.28; p < .001), anxiety (r = −.29; p < .001) and stress (r = −.27; p < .001) subscales scores, suicidal ideation (r = −.16; p < .001) and insomnia severity (r = −.37; p < .001) (Table 4).

Table 4. Pearson correlation matrix

*** p < .001.

Discussion

This study is the first to explore the cross-country validity of the WHO-5 Well-Being Index among young adults across six Arab countries (i.e., Tunisia, Lebanon, Egypt, Jordan, Morocco and Kuwait) in the Middle East and North Africa region. Results showed that all five items loaded onto a single latent factor in both genders and across all six countries, demonstrating adequate reliability, as well as good convergent and divergent validity. Overall, these findings suggest that the Arabic WHO-5 measures the originally intended SWB construct within the specific context conditions of Arabic-speaking populations. By verifying the cross-country validity of the Arabic WHO-5, our study supports its wider application to epidemiologically explore SWB among Arabic-speaking young adults from broad geographic areas.

We found that WHO-5 mean scores varied significantly across countries, ranging from 32.2 ± 22.72 in Egypt to 44.2 ± 26.84 in Morocco. Despite these wide variations, WHO-5 scores reported in all six Arab countries were much lower than those observed among the adult general population in other international studies (e.g., 56 in Sri Lanka [Perera et al., Reference Perera, Jayasuriya, Caldera and Wickremasinghe2020], 64.74 in Iceland [Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014], 73.37 in southern Brazil [de Souza and Hidalgo, Reference De Souza and Hidalgo2012], but were comparable to scores found in a Middle Eastern country (i.e., 35.8 in Iranian people [Dadfar et al., Reference Dadfar, Momeni Safarabad, Asgharnejad Farid, Nemati Shirzy and Ghazie Pour Abarghouie2018]). It should be noted that direct comparisons of WHO-5 Well-being mean scores between studies may not be meaningful due to differences in contextual factors, such as demographics (e.g., our sample exclusively included young adults). That said, the low mean scores observed in our present sample should serve as a warning for clinicians, researchers and policy-makers working in Arab settings, and further highlight that local culturally sensitive strategies are needed to address well-being issues among Arab young adults.

The construct validity of the WHO-5 was examined using CFA, which is consistently advocated by validation researchers as a crucial step in scale validation (Loewenthal and Lewis, Reference Loewenthal and Lewis2018; Zeng et al., Reference Zeng, Fung, Li, Hussain and Yu2020). Unlike exploratory factor analysis (EFA), CFA imposes meaningful constraints when evaluating a measure’s validity (Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014). Although the WHO-5 has been extensively validated in dozens of languages and countries, few WHO-5 Well-being assessments have used CFA (De Wit et al., Reference De Wit, Pouwer, Gemke, Delemarre-Van De Waal and Snoek2007; Fung et al., Reference Fung, Kong, Liu, Huang, Xiong, Jiang, Zhu, Chen, Sun, Zhao and Yu2022), and several validation studies have relied only on EFA (Allgaier et al., Reference Allgaier, Pietsch, Frühe, Prast, Sigl-Glöckner and Schulte-Körne2012; Awata et al., Reference Awata, Bech, Yoshida, Hirai, Suzuki, Yamashita, Ohara, Hinokio, Matsuoka and Oka2007; Bonnín et al., Reference Bonnín, Yatham, Michalak, Martínez-Arán, Dhanoa, Torres, Santos-Pascual, Valls, Carvalho, Sánchez-Moreno, Valentí, Grande, Hidalgo-Mazzei, Vieta and Reinares2018; Cichoń et al., Reference Cichoń, Kiejna, Kokoszka, Gondek, Rajba, Lloyd and Sartorius2020; Hochberg et al., Reference Hochberg, Pucheu, Kleinebreil, Halimi and Fructuoso-Voisin2012; Löve et al., Reference Löve, Andersson, Moore and Hensing2014). Analyses from the present study showed that the fit of a one-factor model to the data was acceptable in each of the six countries, thus replicating the factor structure of the original WHO-5 Well-Being Index (Bech, Reference Bech2004, Reference Bech2012; Bech et al., Reference Bech, Olsen, Kjoller and Rasmussen2003), and that obtained in other linguistic versions using CFA (e.g., Swahili Kenyan [Chongwo et al., Reference Chongwo, Ssewanyana, Nasambu, Mwangala, Mwangi, Nyongesa, Newton and Abubakar2018], Malay [Suhaimi et al., Reference Suhaimi, Makki, Tan, Silim and Ibrahim2022], Icelandic [Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014], Sinhala [Perera et al., Reference Perera, Jayasuriya, Caldera and Wickremasinghe2020], Chinese [Fung et al., Reference Fung, Kong, Liu, Huang, Xiong, Jiang, Zhu, Chen, Sun, Zhao and Yu2022] and Arabic [Kassab Alshayea, Reference Kassab Alshayea2023]). Our results support the applicability of the WHO-5 Well-Being Index as a unidimensional measure of SWB in Arab contexts. Furthermore, to assess composite reliability in our sample, McDonalds’ ω coefficients were used as they have been shown to provide more realistic estimates of a measure’s reliability than Cronbach’s α (Ravinder and Saraswathi, Reference Ravinder and Saraswathi2020). Findings revealed that the Arabic WHO-5 Well-Being Index yielded high reliability coefficients in the total sample and both genders, which is in line with previous international studies on other translations of the WHO-5 Well-Being Index that mostly relied on Cronbach’s αcoefficients (e.g., α = 0.79–0.91 in Italy [Nicolucci et al., Reference Nicolucci, Giorgino, Cucinotta, Zoppini, Muggeo, Squatrito, Corsi, Lostia, Pappalardo, Benaduce, Girelli, Galeone, Maldonato, Perriello, Pata, Marra and Coronel2004], 0.86–0.88 in Kenya [Chongwo et al., Reference Chongwo, Ssewanyana, Nasambu, Mwangala, Mwangi, Nyongesa, Newton and Abubakar2018], 0.87 in Poland [Cichoń et al., Reference Cichoń, Kiejna, Kokoszka, Gondek, Rajba, Lloyd and Sartorius2020], 0.88 in Romania [Preoteasa and Preoteasa, Reference Preoteasa and Preoteasa2015], 0.83 in Sweden [Löve et al., Reference Löve, Andersson, Moore and Hensing2014], 0.91 in Iran [Dadfar et al., Reference Dadfar, Momeni Safarabad, Asgharnejad Farid, Nemati Shirzy and Ghazie Pour Abarghouie2018], 0.81 in Turkey [Eser et al., Reference Eser, Çevik, Baydur, Güneş, Esgin, Öztekin Ç, Eker, Gümüşsoy, Eser and Özyurt2019], 0.91 in Malaysia [Suhaimi et al., Reference Suhaimi, Makki, Tan, Silim and Ibrahim2022], 0.75 in Bangladesh [Faruk et al., Reference Faruk, Alam, Chowdhury and Soron2021], 0.83 in Brazil [de Souza and Hidalgo, Reference De Souza and Hidalgo2012], 0.82–0.87 in Iceland [Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014], 0.81–0.85 in China [Fung et al., Reference Fung, Kong, Liu, Huang, Xiong, Jiang, Zhu, Chen, Sun, Zhao and Yu2022], 0.91 in Saudi Arabia [Kassab Alshayea, Reference Kassab Alshayea2023]). In the initial unidimensional CFA model, global model fit was adequate but could be improved. Based on the modification indices and in line with prior findings (Goretzko et al., Reference Goretzko, Siemund and Sterner2024), we allowed residuals of items 1 and 4 to correlate since these items reflect affective well-being and share similar emotional tone and response patterns, which may explain the residual association beyond the general well-being factor. This correlation suggests that these items may consistently share unexplained variance. This modification improved model fit substantially, while remaining theoretically justified.

For Morocco, the fit indices showed unusually high values (TLI = 1.004, CFI = 1.000, RMSEA CI < 0.001–0.085), suggesting potential overfitting, model saturation, limited variance or a small sample size; these conditions can inflate fit indices and underestimate model misfit. In this study, this can be explained by the small sample from Morocco (n = 202), which is supported in the literature (Xia and Yang, Reference Xia and Yang2019). For Tunisia and Jordan, the RMSEA values were beyond the acceptable limits, indicating poor fit, although CFI and TLI suggested otherwise. This should be interpreted with caution, as RMSEA is sensitive to low degrees of freedom and can falsely indicate poor fit in small or simple models (Kenny et al., Reference Kenny, Kaniskan and McCoach2015).

Another relevant contribution of this study was to examine the measurement invariance of the WHO-5 Well-being scores across gender and countries. Results from multigroup analyses demonstrated that configural, metric and scalar invariance were supported across gender in the total sample and by country. Evidence of invariance across gender groups has also been reported in other validation studies and different linguistic contexts (e.g., Icelandic national and patient samples [Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014] and Sri Lankan people from the general population [Perera et al., Reference Perera, Jayasuriya, Caldera and Wickremasinghe2020]). These findings imply that WHO-5 Well-being mean differences in SWB between male and female respondents, as well as between respondents from various Arab countries, are not attributable to group-level variations in understanding or responding to items, but to real differences in the construct level (Putnick and Bornstein, Reference Putnick and Bornstein2016). We, therefore, suggest that the Arabic WHO-5 Well-Being Index can be used reliably to compare mean differences between gender and country groups.

In this regard, we found that males displayed higher WHO-5 Well-being scores than females, which is in accordance with previous studies (e.g., Nicolucci et al., Reference Nicolucci, Giorgino, Cucinotta, Zoppini, Muggeo, Squatrito, Corsi, Lostia, Pappalardo, Benaduce, Girelli, Galeone, Maldonato, Perriello, Pata, Marra and Coronel2004; Lin et al., Reference Lin, Lee, Wu, Huang, Sun and Tsen2013; Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014; Löve et al., Reference Löve, Andersson, Moore and Hensing2014; Preoteasa and Preoteasa, Reference Preoteasa and Preoteasa2015). Furthermore, the highest well-being scores were exhibited by Moroccan and Kuwaiti participants compared to those from other nationalities. Comparative studies on mental health and well-being between the different Arab countries are lacking. A study published in 2012 reported that Morocco has one of the lowest numbers of psychiatrists and higher prevalence rates of mental health problems compared to other Arab countries (Okasha et al., Reference Okasha, Karam and Okasha2012). One plausible explanation for our findings could be the sociopolitical unrest that took place in some Arab countries over the past years, such as the Arab spring in Tunisia and Egypt, or the economic crises and conflicts in Lebanon (Al-ghzawi et al., Reference Al-ghzawi, ALBashtawy, Azzeghaiby and Alzoghaibi2014).

As for concurrent validity, WHO-5 Well-being scores showed a strong, significant inverse correlation with DASS-8 depression subscores, which is consistent with several previous validations using various depression measures (e.g., Cichoń et al., Reference Cichoń, Kiejna, Kokoszka, Gondek, Rajba, Lloyd and Sartorius2020; Dadfar et al., Reference Dadfar, Momeni Safarabad, Asgharnejad Farid, Nemati Shirzy and Ghazie Pour Abarghouie2018; Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014; Lucas-Carrasco, Reference Lucas-Carrasco2012; Perera et al., Reference Perera, Jayasuriya, Caldera and Wickremasinghe2020; Saipanish et al., Reference Saipanish, Lotrakul and Sumrithe2009). Similarly, the WHO-5 Well-Being Index has consistently shown high sensitivity and specificity in detecting depression, and has been extensively applied as a screening tool for this condition (Topp et al., Reference Topp, Østergaard, Søndergaard and Bech2015). Negative correlations have also been demonstrated between WHO-5 Well-being scores and different symptoms of mental health problems (anxiety, stress, suicidal ideation and insomnia) in our sample. These findings also concur with prior research comparing the correlations between the WHO-5 Well-Being Index and different measures of mental health problems (e.g., anxiety [Awata et al., Reference Awata, Bech, Yoshida, Hirai, Suzuki, Yamashita, Ohara, Hinokio, Matsuoka and Oka2007; Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014], stress [Guðmundsdóttir et al., Reference Guðmundsdóttir, Olason, Guðmundsdóttir and Sigurðsson2014; Faruk et al., Reference Faruk, Alam, Chowdhury and Soron2021] and sleep problems [Löve et al., Reference Löve, Andersson, Moore and Hensing2014]). In sum, the current results strongly support the validity of the Arabic WHO-5 Well-Being Index and offer additional confirmation that it serves the purposes for which it was originally developed.

Study limitations and research perspectives

Despite its valuable contribution to the field of SWB, the present study has some limitations that need to be addressed in future research. First, we did not use a structured clinical interview against which the results from the self-report measure could be validated, which prevented us from assessing the specificity and sensitivity of the WHO-5 Well-Being Index as a depression screening tool. To address this limitation, future studies should include an external criterion measure. Second, our data were gathered at a single point in time, which precluded us from testing the stability and invariance of the Arabic WHO-5 Well-Being Index over time. Therefore, additional validation studies are needed to examine the test–retest reliability of the scale. Additionally, because of the cross-sectional design, the relationships examined in this study cannot be interpreted causally. Third, the use of a community sample of young adults may undermine the generalizability of our findings to clinical populations. Fourth, we employed an online survey and convenience sampling, both of which mostly attracted highly educated and female participants, thereby limiting the representativeness of our sample. Fifth, the theoretically related measures used for validity purposes (C-SSRS, ISI and DASS-8) have not been validated in the different cultural contexts and countries involved in this study. Finally, the six countries involved in our study are lower-to-middle-income countries, and cannot be considered representative of all Arab populations and the Arab world. Young adults from low-income Arab countries (such as Yemen and Syria) may have different SWB levels, and should be the subject of future validation studies. Using dynamic fit index thresholds for model evaluation, reporting effect sizes for measurement non-invariance, and examining group mean differences (e.g., by gender, age or country) within a latent variable framework may also be valuable for future work.

Conclusion

In summary, findings indicate that the WHO-5 Well-Being Index in its Arabic version has a unidimensional structure among Arabic-speaking young adults across six Arab countries, high internal consistency, good concurrent validity and measurement invariance across gender. This study contributes to the growing research in the field of positive psychology and well-being by providing a brief, valid and reliable Arabic version of the WHO-5 Well-Being Index that can be used cross-nationally with a variety of Arabic-speaking young adult populations for screening and research purposes.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2025.10051.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/gmh.2025.10051.

Data availability statement

All data generated or analyzed during this study are not publicly available due to the restrictions from the ethics committee, but are available upon a reasonable request from the corresponding authors (FFR and SH).

Acknowledgments

The authors would like to thank all participants.

Author contribution

FFR and SH designed the study. FFR and SH wrote the article. SH carried out the analysis and interpreted the results. WC, AA, MF, HAMS, MH, IHMH, AYN, BZ, MC, YE-F, GY, GS, AH-M, ER, AH and SO were involved in the data collection. MC reviewed the article for intellectual content. All authors read and approved the final manuscript.

Competing interests

The authors declare none.

Ethics approval and consent to participate

Ethics approval for this study was obtained from the Psychiatric Hospital of the Cross ethics committee, Lebanon (Ref: HPC-012-2022). Written informed consent was obtained from all subjects; the online submission of the soft copy was considered equivalent to receiving written informed consent. All methods were performed in accordance with the relevant guidelines and regulations.

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Figure 0

Table 1. Distribution (mean, SD, skewness and kurtosis) of each WHO-5 Well-Being Index item, stratified by country and gender

Figure 1

Figure 1. Standardized factor loadings derived from the Confirmatory Factor Analysis of the Arabic WHO-5 Well-Being Index in the total sample.

Figure 2

Table 2. Confirmatory Factor Analysis and standardized loading factors of the Arabic WHO-5’s items per country

Figure 3

Table 3. Measurement invariance of the Arabic WHO-5 Well-Being Index in the total sample

Figure 4

Table 4. Pearson correlation matrix

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Author comment: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR1

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Date: 15th March 2025

Dear Editor

Cambridge Prisms: Global Mental Health,

We hereby submit our paper to your esteemed journal for potential consideration and publication. Our manuscript is entitled: “Cross Country Validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries”.

The vast majority of previous validation and adaptation studies of the WHO-5 Well-Being Index were performed in Western countries with individualistic backgrounds. However, subjective well-being (SWB) is a culturally-dependent and context-driven concept; It thus varies widely across- and within cultures, based on geographical situations. For instance, some findings indicated that individuals from collectivist cultures tend to exhibit lower ratings as compared to those from individualistic cultures, which may result in distinct levels of functioning of the WHO-5 items and overall measure. Despite these data, the cross-cultural validity of well-being scales is still an unexplored question. Some previous studies have investigated the cross-cultural validity of the WHO-5. For example, a study investigated the validity of the WHO-5 in a sample of 3762 adults from five European (i.e., Italy, Poland, Denmark) and non-European (i.e., China, Japan) countries. Another study demonstrated that the WHO-5 is psychometrically appropriate and cross-culturally applicable in different nationally representative samples of individuals (N = 43,469) across 35 European countries. Another study also found that the WHO-5 showed good validity and reliability across Spain, Chile and Norway in nurses who worked during the COVID-19 pandemic. Cross-cultural validation studies are crucial to prove that the measure covers transcultural components of the construct subjective, and can be used for cross-cultural comparison purposes in international multicenter research.

Although people from different Arab countries share similarities (including the language, geography, collectivist identity, religion, a young age structure), diversities do also exist. Large cross-cultural studies have shown that the way Arab people view and behave towards mental health issues is not uniform, and appears to be largely shaped by the local context of each Arab country. Taking into consideration these cultural disparities, it is necessary to examine whether the WHO-5 measures the SWB construct accurately in different Arab countries and cultural backgrounds. In this paper, we aimed to contribute to the literature on SWB in different ways. First, we propose to investigate, for the first time, the cross-cultural validity of the WHO-5 across different Arab countries, to ensure its suitability to capture and provide reliable information on the SWB construct in different Arab contexts. Second, as the two previous validations were conducted in Arab Middle East countries, we intended to expand our investigation to an Arab region and countries (i.e., North Africa, Tunisia and Morocco) that have not been subject of previous validation studies of the WHO-5. Third, we sought to examine important psychometric properties that have not been previously examined, such as measurement invariance across genders. Indeed, gender differences in SWB are culturally-determined, as they may be substantially affected by social norms and adherence to traditional gender roles. However, variations across genders may also be largely driven by methodological factors. It is therefore required to verify that the WHO-5 invariantly measures the SWB factor across gender groups. Fourth, we aspired to include larger samples of participants than have been used in the past in order to provide stronger and more reliable results.

The objective of the present study was to perform a cross-country validation of the Arabic version of the WHO-5. In particular, we aimed to explore its (1) factor structure and composite reliability by country, (2) cross-gender measurement invariance, and (3) concurrent validity by calculating Pearson correlation coefficients between the WHO-5 and measures of depression, anxiety, stress, suicidal ideation and insomnia.

All authors read and approved the final version and the submission.

The authors declare that they have no conflict of interest.

With high respect and appreciation,

The authors

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Thank you for the opportunity to review this manuscript, which investigates the cross-cultural psychometric properties (i.e., factor structure, internal consistency, measurement invariance across gender and concurrent validity) of an Arabic version of the WHO-5 Well-Being Index among non-clinical young adults from six Arab countries (i.e., Tunisia, Lebanon, Egypt, Jordan, Morocco, and Kuwait). Given that the WHO-5 is one of the most widely used and validated measures of well-being globally, and that the majority of psychometric research on this scale has been conducted in WEIRD (Western, Educated, Industrialized, Rich, and Democratic) populations (e.g., Topp et al., 2015; Sischka et al., 2025), the current study is timely and relevant. By focusing on young adults in Arab countries, the manuscript addresses an important gap in the cross-cultural generalizability of the WHO-5 and contributes to the growing literature on mental health measurement in non-WEIRD contexts. However, there are several conceptual, methodological, and reporting issues that should be addressed. Please see my detailed comments below.

Abstract

- You wrote: “We found that WHO-5 mean scores varied significantly across countries, ranging from 32.2 ± 22.72 in Egypt to 44.2 ± 26.84 in Morocco.” I assume you are referring to WHO-5 percentage scores, as standard mean scores would range between 0 and 5.

- Consider including McDonald’s omega values for both genders in the abstract to provide a quick impression of internal consistency.

- You might also report the actual correlation coefficients, rather than only describing the direction of the relationships, to give readers a clearer understanding of effect sizes.

Introduction

- I would suggest softening the following sentence: “Despite these data, the cross-cultural validity of well-being scales is still an unexplored question,” as many studies have already examined the cross-cultural validity and comparability of such scales—as you indicate in the following sentence. Consider rephrasing it to: “Despite this growing body of research, the cross-cultural validity of well-being scales remains underexplored.”.

- You might also want to discuss Sischka et al. (2025), who investigated the psychometric properties of the WHO-5 among adolescent populations across 43 countries (mainly in Europe, but also in Central Asia and North America). They reported correlations with life satisfaction, self-rated health, psychosomatic complaints, and loneliness. They also investigated measurement invariance by gender (see note 10). They found that the WHO-5 was largely measurement invariant across gender within each country.

- You wrote: “Large cross-cultural studies have shown that the way Arab people view and behave towards mental health issues is not uniform, and appears to be largely shaped by the local context of each Arab country.” This raises the possibility that the WHO-5 may not be measurement invariant across Arab countries. If so, I wonder why you did not examine cross-country measurement invariance in your own study?

Methods

- There are various methods for determining sample size (e.g., power analysis, precision analysis, sequential analysis, or practical constraints such as time and budget; see Giner-Sorolla et al., 2024). Please briefly explain how your sample size was determined.

- For the DASS-8, please specify how many items are included in each subscale.

- You stated that there were no missing responses in the dataset. This is somewhat unusual and may suggest that participants with missing data were removed (which is not the same as “no missing data”) or that a forced-response format was used (e.g., Sischka et al., 2022). Please clarify.

- Based on Figure 1, it appears that you used the “marker variable” approach (Little et al., 2006), likely using the first item as the marker. However, the method for scaling the latent variable should already be described in the “Analytical Strategy” section (e.g., Nye, 2023; Schreiber, 2008, 2017).

- Since global fit indices aggregate many discrepancies into a single value (Steiger, 2007), they may obscure local areas of poor model fit. Therefore, consider reporting local fit indices alongside global statistics (e.g., Goretzko et al., 2023; Kline, 2024). This would also allow comparisons with prior psychometric studies on the WHO-5, many of which have reported strongly correlated residuals between items 1 and 2. You could include this information in an online supplement.

- Would it be possible to calculate and report effect size indices for measurement invariance (e.g., Nye et al., 2019; Gun et al., 2020)?

- Relying on fixed cutoff values to judge model fit has been widely criticized, as these indices are influenced by factors unrelated to true model fit (e.g., estimator, number of response categories, item distributions; see Groskurth et al., 2024; Marsh et al., 2004; McNeish & Wolf, 2023). You might consider using dynamic fit index cutoffs, which can be easily calculated using this Shiny app: https://www.dynamicfit.app (McNeish & Wolf, 2023; McNeish, 2023).

- You wrote: “The absence of multicollinearity was verified through tolerance values > .2 and variance inflation factor (VIF) values < 5.” For which of your analyses was multicollinearity a concern? Please clarify the purpose of this check.

Results

- I recommend moving the information about sample size and the distribution of demographic variables to the Methods section under “Study Design and Participants.”

- Could you provide information on the distribution (mean, SD, skewness, kurtosis) of each WHO-5 item, stratified by country and gender?

- I am not aware of any reference—including Hu & Bentler (1999), which you cited—that considers RMSEA values above .100 as indicative of acceptable model fit. In fact, a RMSEA in this range is typically interpreted as indicating poor fit (e.g., Little, 2024, p. 143). While the model may still be “good enough” in some practical contexts, this should be evaluated through local fit statistics. Interestingly, this pattern of model fit indices (i.e., SRMR, CFI, TLI suggesting good fit, but RMSEA indicating poor fit) has also been observed in other cross-national studies (e.g., Sischka et al., 2020; 2025). Still, local model fit diagnostics are essential to determine what might be driving the discrepancy.

- For the country-stratified CFA results, please also report the p-value for the model chi-square test (see Kline, 2023, Chapter 10; Nye, 2023). Also, it is somewhat inconsistent to report CFAs separately by country while not conducting cross-country measurement invariance testing.

- In Table 2, please also include model fit statistics for the gender-stratified CFA results, as you did for the country-stratified results in Table 1.

- Did you compute composite reliability for the model in which the residual correlation between items 1 and 4 was freely estimated, or for the basic unidimensional model where all residuals were constrained to zero? Please clarify.

- Table 3 does not provide information on gender-based measurement invariance; it only presents mean and SD differences across countries. Therefore, Table 3 should not be referenced within the sentence discussing measurement invariance.

- Since Section 3.3 includes not only gender measurement invariance but also gender differences, the heading should be updated to reflect both.

- Please include a table for the correlations reported in Section 3.4. This would allow readers to assess the associations among all variables (e.g., between stress and anxiety), not just those described in the text.

Discussion

- You should also discuss that the retained model freely estimated the correlation between the residuals of items 1 and 4, indicating that a purely unidimensional model was not supported.

- Please note in the Limitations section that the associations identified cannot be interpreted causally. For further guidance on how to report limitations, see Clarke et al. (2024).

- Assessing the WHO-5 at multiple time points would also allow for testing its temporal invariance.

Minor points

- You switch between composite reliability and McDonald’s omega. For the sake of clarity and conceptual precision, please only use one term throughout the manuscript.

- The manuscript should be carefully proofread, as it contains several minor errors and awkward phrasings. A few examples:

o On p. 3, line 17, you wrote: “[…] encompasses both negative (e.g., depression, anxiety) and negative aspects […]”. This should be corrected to: “[…] encompasses both negative (e.g., depression, anxiety) and positive aspects […]”.

o You wrote: “Participants were free to accept or decline participation; no fee was given to any participant whatsoever.” Consider revising this to: “Participants did not receive any incentives for participation.”

o You wrote: “Findings supported that all 5 items were loaded into a single underlying factor in all six countries […]”. A clearer phrasing would be: “Results showed that all five items loaded onto a single latent factor in all six countries […]”.

References

Clarke, B., Alley, L. J., Ghai, S., Flake, J. K., Rohrer, J. M., Simmons, J. P., ... & Vazire, S. (2024). Looking our limitations in the eye: A call for more thorough and honest reporting of study limitations. Social and Personality Psychology Compass, 18(7), e12979. https://doi.org/10.1111/spc3.12979

Giner-Sorolla, R., Montoya, A. K., Reifman, A., Carpenter, T., Lewis Jr, N. A., Aberson, C. L., ... & Soderberg, C. (2024). Power to detect what? Considerations for planning and evaluating sample size. Personality and Social Psychology Review, 28(3), 276-301. https://doi.org/10.1177/10888683241228328

Goretzko, D., Siemund, K., & Sterner, P. (2023). Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis. Educational and Psychological Measurement. Advance online publication. https://doi.org/10.1177/00131644231163813

Gunn, H. J., Grimm, K. J., & Edwards, M. C. (2020). Evaluation of six effect size measures of measurement non-invariance for continuous outcomes. Structural Equation Modeling, 27(4), 503-514. https://doi.org/10.1080/10705511.2019.1689507

Groskurth, K., Bluemke, M., & Lechner, C. M. (2024). Why we need to abandon fixed cutoffs for goodness-of-fit indices: An extensive simulation and possible solutions. Behavior Research Methods, 56, 3891–3914. https://doi.org/10.3758/s13428-023-02193-3

Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford publications.

Kline, R. B. (2024). How to evaluate local fit (residuals) in large structural equation models. International Journal of Psychology, 59(6), 1293-1306. https://doi.org/10.1002/ijop.13252

Little, T. D., Slegers, D. W., & Card, N. A. (2006). A non-arbitrary method of identifying and scaling latent variables in SEM and MACS models. Structural Equation Modeling, 13(1), 59-72. https://doi.org/10.1207/s15328007sem1301_3

Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11(3), 320-341. http://dx.doi.org/10.1207/s15328007sem1103_2

McNeish, D. (2023). Dynamic fit index cutoffs for categorical factor analysis with Likert-type, ordinal, or binary responses. American Psychologist, 78(9), 1061–1075. https://doi.org/10.1037/amp0001213

McNeish, D., & Wolf, M. G. (2023). Dynamic fit index cutoffs for confirmatory factor analysis models. Psychological Methods, 28(1), 61–88. https://doi.org/10.1037/met0000425

Nye, C. D. (2023). Reviewer resources: Confirmatory factor analysis. Organizational Research Methods, 26(4), 608-628. https://doi.org/10.1177/10944281221120541

Nye, C. D., Bradburn, J., Olenick, J., Bialko, C., & Drasgow, F. (2019). How big are my effects? Examining the magnitude of effect sizes in studies of measurement equivalence. Organizational Research Methods, 22(3), 678-709.

Sischka, P. E., Décieux, J. P., Mergener, A., Neufang, K. M., & Schmidt, A. F. (2022). The impact of forced answering and reactance on answering behavior in online surveys. Social Science Computer Review, 40(2), 405-425. https://doi.org/10.1177/0894439320907067

Sischka, P. E., Martin, G., Residori, C., Hammami, N., Page, N., Schnohr, C., & Cosma, A. (2025). Cross-national validation of the WHO–5 well-being index within adolescent populations: Findings from 43 countries. Assessment. Advance online publication. https://doi.org/10.1177/10731911241309452

Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898. https://doi.org/10.1016/j.paid.2006.09.017

Topp, C. W., Østergaard, S. D., Søndergaard, S., & Bech, P. (2015). The WHO-5 Well-Being Index: a systematic review of the literature. Psychotherapy and Psychosomatics, 84(3), 167-176. https://doi.org/10.1159/000376585

All other mentioned references here are listed in the manuscript.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

I appreciate the effort to conduct the study in six Arab countries. The scale is a widely used psychometric tool, yet it needs cultural validation.

Abstract

• Page 2, line 11-13: After acknowledging SWB as a culturally-dependent and context—driven construct, the 2nd line seems to be redundant. Also, the semicolon (;) should be replaced with a comma, and “It” should be lowercase. Consider removing the sentence. In line 16-17, the word subjective should be like this, “subjective” as the authors mentioning the construct- awkward phrasing of “construct subjective”; incorrect comma placement. The sentence is lengthy and hard to follow. Consider breaking it down into at least two sentences.

• Is this cross-country validation or cross-cultural validation?

• Do we assess cross-gender invariance using Pearson correlation?

• The last sentence of the Abstract should be revised because it conveys inaccurate information.

• Consider checking punctuations throughout the manuscript. A comma comes before the last name (Tunisia, Lebanon, Egypt, Jordan, Morocco, and Kuwait).

• Method: Among is used for relationships between multiple subjects/objects.

• We carried out (no hyphen) a cross-sectional, web-based study with/on a total of 3,247 young adults (aged 18-35 years, M=XX.XX, SD= XX.XX) from six Arab countries (i.e., Tunisia, Lebanon, Egypt, Jordan, Morocco, and Kuwait).

• Results: “mean scores” should be clarified as “Mean (M) and Standard Deviation (SD)” for accuracy.

• Confirmatory Factor Analyses“ should be singular (”Confirmatory Factor Analysis")

• “invariance was” ---- “invariance were” (plural subject).

• “strong significant” is redundant; use “strong and significant.”

• “Negative correlations have also been demonstrated”--- Should be in past tense for consistency (e.g., “were also found”).

• Check the reference style as suggested by the journal.

Introduction

Page 3:

Line 19: You have not established a case for SWB to be a complex construct other than saying it has both positive and negative aspects. Consider adding sentences explaining why SWB is complex.

Line 15: The concept of subjective well-being (SWB) encompasses both negative (e.g., depression, anxiety) and negative aspects (e.g., happiness, satisfaction, contentment. Shouldn’t, one be positive?

The well-established salutary impact of SWB on health several researchers called for including SWB as a measure of outcome of patient-centered mental healthcare. This sentence is awkward. Consider braking it into meaningful sentences.

As such, particular emphasis was placed in recent years on collecting self-rated SWB data in clinical settings, in the general population, as well as in research. Awkward phrasing and grammar. Has been placed… and SWB has been found to be closely…

…and several countries have already included SWB as a routine assessment to inform government decisions and public policy. It could be an independent sentence following the previous one.

Line 47-48: six-point scale?

Page 4: Line 8-9: We could found or we found?

Page 4: Line 14: Results of the same study or a different one? Provide citation.

Page 4: Line 22-29: This paragraph does not follow the validation studies conducted in Arabian contexts, rather suggests how robust the measure it. Consider moving this before discussing the Arabian versions.

Page 4: line 32: the subheading ‘Well-being in the Arab world’ sounds very dramatic and less academic at least in the current study. Alternatives could be, “Well-being in the Arab Contexts/cultures or “Well-being: Arab Perspectives’’ one or the other.

Page 4: line 35: This sentence requires a reference…a high burden of mental health problems (ref).

Page 4: mental disorder rates or mental disorder rates? Also, “Expected values” sounds unnatural in this context; “expected levels” is clearer.

“Arab Eastern Mediterranean countries” is an awkward phrasing; “Eastern Mediterranean Arab countries” is more natural.

Indeed, mental disorders rates exceeded the expected values in Arab Eastern Mediterranean countries, generating steadily increasing and higher than globally burden levels [51]. This sentence is very awkward. Consider revising it. Global levels? ‘Resulting in’ instead of generating? Expected to be on the rise or expected to rise?

“Such strategies are inappropriate and ineffective for dealing with the highly challenging conditions and deteriorating mental health that most of the Arab general populations are facing.” Are there better ways to frame this sentence? Also ‘Arab general populations’ or Arab population?

“Becomes urgently needed” or “is urgently needed”

Page 5, line 28-19: The vast majority of previous validation and adaptation studies of the WHO-5 were performed in Western countries with individualistic backgrounds. This claim requires a citation. Also, the use of ‘however’ in the following sentence does not mean anything. Use connecting sentence to smoothen the transition from the use of WHO-5 scale in Western countries to SWB being culturally dependent. Also what is with the punctuation ;? Then again the 3rd sentence (after ref 62 and 63) does not follow the 2nd sentence. The remaining paragraph provides evidence in favor of the scale being cross-culturally validated tool. How does the claim then make sense when the authors say Despite these data, the cross-cultural validity of well-being scales is still an unexplored question [65]? This entire paragraph needs to be rewritten focusing more on the gaps as to why the present study was conceptualized to being with.

North Africa: Tunisia and Morocco?

However, variations across genders may also be largely driven by methodological factors [71]. Justify this information with your aim.

Larger sample of participants? Is the 4th objective really an objective? Having a large same size is a strength of the study not an objective/aim.

All psychometric properties are important. So, the use of important psychometric properties seems awkward.

How many times do the authors need to state their objectives? See page 6 line 40-54

Can the authors remove the word indeed throughout the manuscript? I don’t see any reason to use that.

Are these references (75-77) indicating the use of snowball sampling and online recruitment in Arab countries?

All collaborators who collected data were asked to follow the ethical guidelines of their Institutional Review Board (IRB), acting either on the ethical approval received from their local IRBs or that of the Principal Investigators. What does this mean? Consider making it clear. Also, include individual IRB numbers.

The use of Instagram for collecting data requires a justification as this is a new trend. Did the authors use any hashtags? How did they engage prospective participants on Instagram?

Measures

• WHO-5 is a six-point Likert scale.

• Among elderly people or on elderly people?

• Columbia Suicidal Rating Scale: Is the omega (.79) only for adults not available for adolescents?

• Higher scores reflect more severe insomnia (ω = .82). What exactly does this mean?

• More information on the measures is required (e.g., more psychometric properties). Also, is the construct ‘suicide’ pancultural in Arab these countries? Just because they speak the same language does not mean the conceptualization of suicide, depression, and anxiety will be the same across all countries selected for the study. Justify the use of these measures.

CFA: Why was the threshold of VIF < 5 chosen and not VIF <10? Please justify.

Further analyses: The scale names have not been abbreviated earlier.

Results

3.2. Confirmatory Factor Analysis of the Arabic WHO-5

• Why did the df (from 5 to 4) change in the modified model? Usually, it changes when parameters are added.

• AVE values > 1 are mathematically impossible in FA as they indicate error in the calculation. AVE values range from 0 to 1.

• The model fit improves after adding a residual correlation. Therefore, the degree of improvement, especially RMSEA seems significant. Please explain the modification was justified.

• The perfect or near-perfect fit statistics (RMSEA CI for Morocco, CFI and TLI for Morocco, SRMR for Morocco) in the table (Table 1), seem positive, however, they should be examined carefully for potential overfitting or data issues.

• Tunisia (0.112) and Jordan (0.107) RMSEA values indicate poor fit, conflicting with other indices.

• Morocco: TLI (1.004), CFI (1.000), and RMSEA CI (<0.001–0.085) suggest overfit or data issues (small sample?).

• Path diagram shows unstandardized loadings (e.g., 1.00, 1.02, 1.05, F1 variance = 1.48), but the caption and table imply standardized loadings (≤ 1). Figure 1 caption (“Standardized Factor Loadings”) conflicts with the diagram’s unstandardized presentation.

• Error variances in the diagram (0.53, 0.43, etc.) don’t match expected values based on standardized loadings from the table (e.g., 0.2256 for 0.88: Tunisia. Error for 0.88 = 1 – 0.88² = 1 – 0.7744 = 0.2256. but the diiagram shows 0.53 for e1, which doesn’t match.

3.3. Measurement Invariance

• Were instead of was (see 1st sentence)

• P’s should always be italicized.

• Table 3: Why were Jordan and Morocco underlined?

• While the explanation of the mean score variance across countries seems beyond the scope of the study, however, it should be explained in the discussion to get a perspective with all potential explanations.

Discussion

• Page 13, line 38: This study is the first to explore the cross-country validity of the WHO-5… the WHO-5 Well-being Index?

• These high mean scores should sound warning bells for clinicians, researchers and policy-makers working in Arab settings; and further highlights that local culturally-sensitive strategies are urgently needed to address well-being issues among Arab young adults. ‘further highlight’. Also, how did the author make such an ‘urgent’ inference about culturally-sensitive strategies being needed for Arab young adults?

• Page 14, line 25: Analysis of the present study?

• Page 14, page 55: Please change WHO-5 Well-being scores thought out the manuscript. ‘WHO-5 Well-being scores’ is the established term.

• There is a repetition of measurement invariance in the discussion. Put all the relevant information together to discuss the invariance. Also, there is an overemphasis of gender invariance results. Keep it short.

• Subject-verb agreement: “invariance was supported” “invariance were supported” (plural subject).

• The authors did not report conducting measurement invariance across multiple groups (e.g., countries) and yet they claim it as a multigroup measurement invariance. They conducted a gender-wise invariance.

• It would be interesting to know why WHO-5 Well-being items show measurement invariance across gender in these countries. Include a few potential explanations supporting this notion.

• ‘In the same line’, write ‘similarly’

• The clause “and was extensively applied” should maintain parallel verb tense. Change to “and has been extensively applied.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR4

Conflict of interest statement

Reviewer declares none.

Comments

Great work done to validate a very easy and simple assessment tool that can be used across different settings and population. Well done! I would like to comment regarding the assessment tools used and wether the tools used were validated in Arabic in other populations before this study. For example the Columbia Suicide Rating Scale and Insomnia Severity Index, unclear whether the one validated in Lebanon was in Arabic or not. Where did the author get the translated version of the Arabic WHO-5 that was validated and used in the Lebanon population among elderly people. Were there any discrpancy in translation across the countries?

Nonetheless, great work and would be a huge research and clinical contribution the MIddle east region and globally.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR5

Conflict of interest statement

Reviewer declares none.

Comments

Background

The authors should consider re-structuring the introduction to make it more concise and clearly articulate the rationale for validating the WHO-5 Well-Being Index (WHO-5 SBW) in this specific study setting, despite previous validations of the Arabic version by two independent studies. It would be particularly helpful for readers unfamiliar with the nuances of the Arabic language to understand why a third validation is necessary.

To streamline the introduction, the authors may consider reducing or omitting the general definition of mental health, assuming that most readers will already be familiar with it.

Additionally, to help readers better understand the context of the study and the representativeness of the sample, the authors could include information on internet penetration rates and access to the specific social media platforms (Facebook, Instagram, WhatsApp) used for recruitment. Providing basic demographic information, such as the male-to-female ratio among 18–35-year-olds in the study sites and data on social media usage in these groups, would clarify whether the recruited sample can reasonably be considered representative of the general population.

Methods

1. Provide the ethical approval details of all the participating countries from which study participants were recruited.

2. Clarify how the authors ensured that no duplicate entries were made

3. The selected sample age group may be roughly categorised into late adolescence/emerging adulthood (18-24) and young adulthood (24-34 years). For concurrent validity analysis, were there results to indicate measurement invariance in all selected constructs between these two groups, because literature suggests variability in symptomatology and prevalence of constructs like anxiety between younger and older adults e.g in this study https://pubmed.ncbi.nlm.nih.gov/30538658/

Results

1. Provide study participants data as table 1. Supplementary material was not provided with this submission therefore it is not possible for reviewers to determine whether there was overrepresentation by one country and whether these overrepresentations may partially explain overall good fits in aggregated results but variabilities in country-level analyses. For example, the RMSEA indicated poor fit for Tunisia and Jordan, even though the CFA and TLI were excellent. Besides degrees of freedom, sample size may partially explain this finding, hence need to present these as main results.

2. The findings that the models improved after adding a correlation between residuals of items 1 and 4 suggest that these two items share additional variance beyond the main factor which was successfully modeled. Do the authors have any elaboration on this finding or on how future studies should handle these two items?

3. Is there any rationale for not providing country level analyses for concurrent validity?

Discussion

1. The conclusions that the findings of the study are of a general population cannot be made, unless clarifications are made in the introduction (or methods) of the structure of the general population from which these samples were drawn

2. Consider reviewing the argument in the second paragraph of the discussion for clarity. Are high SWB a positive or a negative finding? I suppose the authors meant to say “low”. Also in line with the authors argument in the introduction, it is counter-productive to compare general adult population findings with young adult population findings which were used in this study

Recommendation: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR6

Comments

Can you please address the reviewers’ comments, particularly ensuring that you address the following:

• Provide a more nuanced description of the subjective and complexity of SWB as this will strengthen the need for the study, further

• Motivate the rationale for not performing cross-country measurement invariance, given the multinational nature of the study, including the inherent differences in cultural conceptualisation of well-being

•Sample size justification

• Clear outline of the evaluation plan, including reporting of all pre-requisite fit indices for viewers to make an independent and informed judgement

• Whenever possible, kindly stratify the results per country

• Kindly address the grammatical errors and typos throughout the manuscript

• Ensure that the conclusions are in keeping with the study’s methodology

• Kindly reference all important statements

• Please provide details for ethical approvals across the countries

Decision: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R0/PR7

Comments

No accompanying comment.

Author comment: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR8

Comments

No accompanying comment.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR9

Conflict of interest statement

Reviewer declares none.

Comments

Authors have adequately addressed the comments; therefore, I recommend accepting the manuscript.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR10

Conflict of interest statement

Reviewer declares none.

Comments

Thank you for the opportunity to re-review this manuscript. While the manuscript has substantially improved, two key concerns remain unaddressed. Please find my detailed comments below.

As a brief note on style: I often provide numerous references in my reviews. These are intended to guide and inform the authors and should not necessarily be cited in the manuscript unless I explicitly recommend doing so.

Regarding sample size: I do not question that your sample size is sufficiently large to conduct the planned analyses. However, it would be helpful to briefly explain how the sample size of 3,247 participants was determined (e.g., why this number and not 2,000, 5,000, or 10,000?). In many observational studies, sample size is determined by practical constraints such as time, budget, or logistical feasibility. If this was the case in your study, you might add a sentence such as: “We collected data until we reached at least [number] observations, at which point the survey was closed,” or “The survey was open between [start date] and [end date], and all responses collected during that period were included in the analysis.” Moreover, since you are conducting not only a simple CFA but also measurement invariance testing across different groups, you could follow up with: “The resulting sample size was sufficiently large to provide adequate statistical power for all our analyses, including measurement invariance testing across groups (e.g., Meade et al., 2008).”

Regarding language and clarity: The manuscript still contains several grammatical errors and awkward phrasings. To enhance clarity and overall quality, I strongly recommend a thorough language revision. Ideally, this should involve a professional proofreader or a native English speaker with experience in academic writing. If that is not feasible, you might carefully use a language model such as ChatGPT (https://chatgpt.com/). For tips on academic use, see e.g., https://scitechedit.com/chatgpt-and-academic-writing/ (points 4 and 5). However, please use such tools cautiously—always reviewing the output to ensure it accurately reflects your intended meaning and maintains scientific rigor. If you choose to use ChatGPT, I suggest revising the manuscript section by section with a prompt like the following: “Please help me revise the following section of an academic manuscript for grammar, clarity, and style. It should remain formal and scientifically accurate. Avoid changing the meaning, but feel free to rephrase awkward or unclear sentences. Here is the text: [Insert section here].”

Lastly, there is still some room for methodological improvement (as noted in my previous review), such as using dynamic fit index thresholds for model evaluation, reporting effect sizes for measurement non-invariance, and examining group mean differences (e.g., by gender, age, or country) within a latent variable framework (see Dimitrov, 2006). While addressing these points would strengthen the manuscript, I believe they are not critical to the core conclusions and can be left as suggestions for future work.

Minor points

- Please revise the sentence “CFA indicated that fit of the one-factor model of the Arabic WHO-5 Well-being Index was acceptable” to: “Except for the RMSEA, most CFA model fit indices indicated that the fit of the one-factor model of the Arabic WHO-5 Well-being Index was acceptable.”

- Please change the heading “Measurement invariance and gender differences by gender and countries” to: “Measurement invariance and differences by gender, age, and country.”

- I recommend integrating the results of Table 4 directly into the text. If you choose to retain the table, please revise the heading to: “Manifest WHO-5 Well-being scores across countries.” Also, remove the sentence “Numbers in bold indicate significant p values,” as only one p-value is shown.

- In Table 5, remove the “1” on the diagonal and add a note to clarify the asterisks (e.g., Note. *** p < .001).

- Since you also conduct measurement invariance and mean differences analyses across age group, you should also provide reliability coefficients for these groups.

- -You wrote: “The composite reliability was 0.94 for the original (without correlation between residuals) and final (after adding the correlation between residuals of items 1 and 4) models.” Does this mean that you adjusted the McDonald’s omega calculation to reflect the change in model specification—specifically, by including the estimated residual covariance in the denominator of the formula?

References

Dimitrov, D. M. (2006). Comparing groups on latent variables: A structural equation modeling approach. Work, 26(4), 429-436. https://doi.org/10.3233/WOR-2006-00576

Meade, A. W., Johnson, E. C., & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592. https://doi.org/10.1037/0021-9010.93.3.568

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR11

Conflict of interest statement

Reviewer declares none.

Comments

The authors have adequately addressed the reviewers' comments that directly impact the study’s interpretability and have provided the requisite supplementary materials.

Recommendation: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR12

Comments

May you kindly address the minor comments suggested by the third reviewer.

Decision: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R1/PR13

Comments

No accompanying comment.

Author comment: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R2/PR14

Comments

No accompanying comment.

Review: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R2/PR15

Conflict of interest statement

Reviewer declares none.

Comments

Thank you for the opportunity to re-review this manuscript. The authors have adequately addressed all of my previous comments. I have no further concerns regarding the manuscript in its current form.

Recommendation: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R2/PR16

Comments

No accompanying comment.

Decision: Cross-country validation of the Arabic version of the WHO-5 Well-Being Index in non-clinical young adults from six Arab countries — R2/PR17

Comments

No accompanying comment.