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Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV

Published online by Cambridge University Press:  24 October 2025

Jorem Emmillian Awadu*
Affiliation:
Department of Psychiatry, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA
Bruno J. Giordani
Affiliation:
Psychiatry, University of Michigan, Ann Arbor, MI, USA
Alla Sikorskii
Affiliation:
Department of Psychiatry, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA
Sarah Zalwango
Affiliation:
Public Health, Kampala Capital City Authority, Kampala, Uganda
Catherine Abbo
Affiliation:
Psychiatry, Makerere University CHS, Kampala, Uganda
Amara Ezeamama
Affiliation:
Department of Psychiatry, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA
*
Corresponding author: Jorem Emmillian Awadu; Email: awadujor@msu.edu
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Abstract

We assessed whether higher caregiver depression is associated with increased likelihood of caregivers rating their children as screening positive for developmental disorders—autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder, emotional behavioral disorder, and functional impairment (FI)—among Ugandan children perinatally exposed and unexposed to HIV. Children and their primary caregivers were followed for 12 months. Caregiver depression was measured using the Hopkins Symptom Checklist-25 and categorized as low, moderate, or high based on terciles. Child developmental indices were derived from the Behavioral Assessment System for Children (third edition) at 0, 6, and 12 months. Multivariable linear regression estimated mean differences (MDs) in disorder indices with 95% confidence intervals (CIs) by caregiver depression level. Compared with highly depressed caregivers, those with low depression reported consistently lower ASD risk scores (MD: −0.35 to −0.32; 95% CI: −0.60 to −0.08). Similar trends were observed for FI (MD: −0.56 to −0.31; 95% CI: −0.81 to −0.06). Moderate depression was associated with modestly lower FI risk at baseline and 6 months but not at 12 months. Overall, higher caregiver depressive symptoms were linked to greater perceived child disorder risk. Evaluating caregiver depression alongside child screening may improve interpretation of developmental risk assessments.

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Type
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.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Impact statement

Depression is a highly prevalent comorbidity among caregivers of dependent children with chronic conditions. It is known to interfere with one’s functioning and yet is high in low- and medium-income countries (LMICs), especially among females who provide most of the childcare, including but not limited to, hospital visits for children’s medical care. Understanding how depression in the caregiver impacts their subjective reporting of neurodevelopmental disorder symptoms in their dependent children is important for early and accurate diagnosis and timely linkage to available resources.

This investigation among adult caregivers from the LMIC setting of Uganda found that low caregiver depression was associated with underreporting of neurodevelopmental disorder symptoms in their respective dependent children.

We highlight the need to consider caregiver depression in the contextual understanding of their report of symptoms in dependent children in order to optimize diagnostic accuracy and to efficiently utilize limited resources. Whenever possible, multidimensional assessments of developmental disorders and behavioral outcomes should be used, including, as appropriate the child’s, the caregiver’s or other respondent’s perspective.

Introduction

Between 1990 and 2019, the prevalence of mental health disorders increased by 48.1%, rising from 654.8 million (95% uncertainty interval of [603.6–708.1] to 970.1 million (95% uncertainty interval of [900.9–1,044.4]) (Collaborators GBDMD, 2022). Depressive disorders affect over 280 million people globally, with the most burdened being females (approximately 170 million) and persons living in sub-Saharan Africa (Collaborators GBDMD, 2022). The prevalence of depressive disorders in the general population of people from sub-Saharan Africa is 4.3% (Collaborators GBDMD, 2022). Within Africa, depression is underreported (Lofgren et al., Reference Lofgren, Bond, Nakasujja and Boulware2020). Depression is reported to be high in persons living with HIV (PLWH) (Bernard et al., Reference Bernard, Dabis and de Rekeneire2017) and among African youth between 10 and 24-year-olds (Too et al., Reference Too, Abubakar, Nasambu, Koot, Cuijpers, Newton and Nyongesa2021). Specifically, published reviews indicate an average depressive disorder prevalence rate of 25.5% among PLWH with estimated rates across studies ranging from a low of 13% to a high of 78%. These findings compare to a depressive disorder mean prevalence rate of 5% and lifetime depressive disorder risk of 15%–18% in the general population (Lofgren et al., Reference Lofgren, Bond, Nakasujja and Boulware2020). In the global population of women living with HIV, the estimated prevalence of depression is even higher at 82% (Orza et al., Reference Orza, Bewley, Logie, Crone, Moroz, Strachan, Vazquez and Welbourn2015).

The etiology of depression is multifactorial, with a range of biological and contextual factors implicated. Regardless of the cause, depression is associated with poor functioning (Lin et al., Reference Lin, Tsai, Bai, T-J and Chen2024) parenting practices that are insensitive to a child’s needs, and spousal difficulties, (Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021; Wang et al., Reference Wang, Cheng, Bai, Hsu, Huang, Su, Tsai, Li, Chen, Leventhal and Chen2022; Lin et al., Reference Lin, Tsai, Bai, T-J and Chen2024), which negatively impact child development and behavior (Familiar et al., Reference Familiar, Chernoff, Ruisenor-Escudero, Laughton, Joyce, Fairlie, Vhembo, Kamthunzi, Barlow-Barlow, Zimmer, McCarthy and Boivin2020). It also changes the threshold by which a caregiver determines their child’s behavior needs attention with a possibility of under reaction or overreaction, hence impacting their own subjective interpretation of their child’s behavior with consequence for parent report in neuropsychological tests. Indeed, published data suggest that depressed caregivers are more likely to overreport negative child behavior,(Familiar et al., Reference Familiar, Chernoff, Ruisenor-Escudero, Laughton, Joyce, Fairlie, Vhembo, Kamthunzi, Barlow-Barlow, Zimmer, McCarthy and Boivin2020; I. Familiar et al., Reference Familiar, Nakasujja, Bass, Sikorskii, Murray, Ruisenor-Escudero, Bangirana, Opoka and Boivin2016). A similar relationship is reported for caregiver depression, child emotional and behavioral problems,(De Los Reyes and Kazdin, Reference De Los Reyes and Kazdin2005; Hennigan et al., Reference Hennigan, O’Keefe, Noether, Rinehart and Russell2006; Gartstein et al., Reference Gartstein, Bridgett, Dishion and Kaufman2009) as well as externalizing and internalizing symptoms – facets central to clinical diagnostic decisions in attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and oppositional defiant disorder (ODD) (Ayano et al., Reference Ayano, Maravilla and Alati2019; Vizzini et al., Reference Vizzini, Popovic, Zugna, Vitiello, Trevisan, Pizzi, Rusconi, Gagliardi, Merletti and Richiardi2019). Hence, caregiver depression screening is crucial for proper contextualization and interpretation of results from proxy-evaluated child cognition or behavioral outcomes. Also, dealing with developmental disorders (most often medically based) can cause stress on caregivers suggesting the need to evaluate caregivers for situational stress.

Developmental disorder prevalence rate is rising in the general population,(Zablotsky et al., Reference Zablotsky, Black, Maenner, Schieve and Blumberg2015; Sharma et al., Reference Sharma, Gonda and Tarazi2018; Collaborators GBDMD, 2022) including among children exposed and unexposed to HIV/antiretroviral therapy (Too et al., Reference Too, Abubakar, Nasambu, Koot, Cuijpers, Newton and Nyongesa2021; Awadu et al., Reference Awadu, Sikorskii, Zalwango, Coventry, Giordani and Ezeamama2022; Mpango et al., Reference Mpango, Ssembajjwe, Rukundo, Salisbury, Levin, Gadow, Patel and Kinyanda2022). Whether this rise is due to improved screening, clinician/professionals training or higher overall awareness is still not well elucidated. However, there is relative consensus that some of the rising trend is attributable to increased awareness of developmental disorder symptomology among caregivers, child development and medical professionals (Elsabbagh et al., Reference Elsabbagh, Divan, Koh, Kim, Kauchali, Marcin, Montiel-Nava, Patel, Paula, Wang, Yasamy and Fombonne2012). Unlike disorders with known biomarkers, the diagnosis of most developmental disorders relies upon psychological assessments, observation and information gathering from caregivers knowledgeable of the child to be assessed (Müller et al., Reference Müller, Achtergarde and Furniss2011; Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021). Caregivers are often asked about the developmental history and behavioral presentations of the child of interest. Such requests usually require complex cognitive functioning to ensure the accuracy of recall of the child’s developmental milieu and history, as well as of the frequency of common symptom patterns. It is common for child behavioral ratings by two or more primary caregivers of the same child to have discrepancies (De Los Reyes and Kazdin, Reference De Los Reyes and Kazdin2005; Müller et al., Reference Müller, Achtergarde and Furniss2011; Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021). Inaccurate child ratings lead to misclassification or misdiagnosis, can strain limited available public health or personal resources, and lead to missed intervention opportunities at crucial developmental time points. One factor leading to inaccurate child ratings by caregivers has been characterized as the depression-distortion hypothesis – which posits that caregiver depression negatively biases their evaluation of behavioral or emotional problems in their children (Müller et al., Reference Müller, Achtergarde and Furniss2011; Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021).

The influence of maternal depression on maternal ratings for child behavior has been reported mostly in high-resource countries (Collaborators GBDMD, 2022). However, Familiar and colleagues (Familiar et al., Reference Familiar, Chernoff, Ruisenor-Escudero, Laughton, Joyce, Fairlie, Vhembo, Kamthunzi, Barlow-Barlow, Zimmer, McCarthy and Boivin2020; I. Familiar et al., Reference Familiar, Nakasujja, Bass, Sikorskii, Murray, Ruisenor-Escudero, Bangirana, Opoka and Boivin2016) found that, regardless of HIV status, depression symptoms among caregivers in Sub-Saharan Africa were associated with their reports of child behavioral problems. However, the relationship of caregiver depression to caregiver-reported developmental disorder risk in vulnerable dependent children from low- and middle-income countries (LMICs) has not been investigated. Understanding this relationship in LMICs like Uganda with a high HIV burden, limited mental health infrastructure, inadequate number of trained clinicians and rehabilitation professionals is necessary to ensure limited resources are focused on children with the highest need. This study seeks to better characterize the influence of maternal depression on caregiver reporting of developmental disorder symptoms by investigating whether depression is associated with the caregiver’s rating of developmental disorder likelihood risk scores for their dependent HIV-exposed and unexposed children. It was hypothesized that caregiver depression level would be associated with higher risk perception and thus higher developmental disorder risk scores in their dependent children. Results obtained from this study (i.e., a secondary analysis of a prospective cohort) will enhance our understanding of the role of depression in developmental disorder ratings by caregivers – a factor that can be considered and potentially adjusted for during their assessment.

Methods

Study participants, study setting, recruitment and follow-up

Six hundred and three children of known perinatal HIV status at 6–18 years old together with their current adult (i.e., ≥18 years old) caregivers were recruited and followed for 12 months. G*Power (Faul et al., Reference Faul, Erdfelder and Buchner2009; Faul et al., Reference Faul, Erdfelder, Lang and Buchner2007) was used to determine that a sample size of 387, with 95% power for a two-sided significance test at an alpha level of 0.05, would allow us to detect the small to moderate effect size differences observed in similar studies conducted in Uganda (Itziar Familiar et al., Reference Familiar, Nakasujja, Bass, Sikorskii, Murray, Ruisenor-Escudero, Bangirana, Opoka and Boivin2016). Our sample is thus adequate to identify small differences between the study groups. Included were children perinatally infected with HIV (CPHIV, n = 203), children HIV/ART exposed but uninfected (CHEU, n = 198) and children HIV unexposed and uninfected (CHUU, n = 202). Caregivers of dependent children were recruited regardless of their current HIV status. Caregivers and dependent children were recruited through two cohort studies conducted in Kawaala Health Center IV (KHC), Kampala, Uganda, between 16 March 2017 and 30 June 2021. CPHIV and their adult caregivers were primarily recruited from those already receiving primary care at KHC clinics. CHEU and CHUU were recruited concurrently with CPHIV in three ways: (a) for CHEU, we leveraged the early infant diagnosis system and invited caregivers of HIV-exposed children whose children were born in the labor and delivery unit of KHC; (b) we encouraged co-enrolment of CHEU and CHUU within the same households as already enrolled CPHIV and (c) we leveraged the social networks of already enrolled families in the project to invite CHUU and CHEU directly from the community. HIV-negative status at enrolment was confirmed for CHEU and CHUU using HIV rapid diagnostic test. We implemented a secondary analysis of data collected as part of a prospective cohort study of caregiver depression level in relationship to their subjective rating of their dependent child’s developmental disorder probability risk score in Kawaala Health Center (KHC), Kampala, Uganda. By design, an equal proportion of children were recruited into the different study arms. Study participants were followed for 12 months with developmental disorder scores assessed at enrollment, 6, and 12 months or until lost to follow up.

Study eligibility/exclusion criteria

All study children not born in a health facility were excluded (for both cohort studies) because HIV status for them and their biological mothers, their ART exposure in utero/peripartum, as well as HIV status for both the index child and their biological mother could not be objectively determined based on tests done as part of antenatal care or the PMTCT program. All eligible study caregivers and their respective children had to live within 25 km of the study area (i.e., KHC in Kawempe Division, Kampala, Uganda) with no known plans to relocate outside the study area at enrolment. Additionally, for this secondary analysis, children without developmental disorder risk or caregiver depression information were excluded.

Ethical approval

Institutional review boards from Makerere University (Protocol REC REF numbers: 2017-017 and 2018-099) and Michigan State University (IRB Protocol numbers: 16–828 and 205), respectively reviewed and approved the study protocol and all study forms before the studies commenced. Additionally, the Uganda National Council for Science and Technology (Protocol numbers: SS4378 and HS 2466) reviewed and provided the final permission for the study to start. Adult caregivers provided informed consent, and their dependent children provided assent for participation in the study.

Outcomes: Developmental disorder, resiliency and functional impairment probability scores

Probability risk score for ASD, ADHD, emotional behavioral disorder (EBD), functional impairment (FI) and resiliency indices (RI) were derived per criteria provided in the Behavioral Assessment System for Children, Third edition (BASC-3) manual (Zhou et al., Reference Zhou, Reynolds and Kamphaus2022) and reported in our previous publications (Ezeamama et al., Reference Ezeamama, Zalwango, Sikorskii, Tuke, Musoke, Giordani and Boivin2021). Per standard protocol,(Zhou et al., Reference Zhou, Reynolds and Kamphaus2022) questionnaires were administered in the respondents’ language. BASC-3 items were forward translated to the local language of Luganda and then back translated to English with an expert panel to adjudicate disagreements. Further, questions were culturally adapted for the research context with care taken to ensure item meaning was culturally relevant while preserving intended meaning of the original tool as we have described elsewhere (Ezeamama et al., Reference Ezeamama, Zalwango, Sikorskii, Tuke, Musoke, Giordani and Boivin2021). Scores for each disorder were age and sex standardized to the mean and standard deviation of baseline scores of apparently healthy children without perinatally acquired HIV. The resulting age and sex standardized z-scores were analyzed as response variables. This approach assures a contextually relevant reference group for interpretation of neurodevelopmental outcomes as reported in our prior studies (Ezeamama et al., Reference Ezeamama, Zalwango, Sikorskii, Tuke, Musoke, Giordani and Boivin2021).

Primary Predictor: Caregiver Depression. At baseline, caregiver depression level was measured using 15 items in the depression subscale of the Hopkins Symptom Checklist-25 (HSCL-25). Participant response to each questionnaire item was scored on the Likert scale from 1 (not at all) to 4 (often). Ratings were summed, and then low (0–9), moderate (10–15) versus high (≥16) categories of caregiver depression level were defined based on the tercile of total scores for analytic purposes. We used sample specific cut-offs as best operational fit for definition of relative caregiver depression for two reasons. First, although the HSCL-25 is a validated tool for depression, that validation was not in sample directly comparable to our study population. Second, our goal was to make relative comparisons of caregivers’ perception/assessment of their child’s outcomes according to relative severity of depressive symptoms. Thus, using empiric distribution provided maximum power in respective categories with fidelity to our study question.

Other measures

Sociodemographic variables: Child and caregiver age (in years) and biological sex (male vs. female) were recorded at baseline. HIV status at birth was derived from hospital records (i.e., antenatal registers or notes, labor and delivery forms, antiretroviral cards) at KHC. Child current HIV status at enrolment was ascertained using HIV rapid diagnostic test.

Caregiver education, socioeconomic and lifestyle factors: Caregiver education was defined as years of formal education. The presence or absence of income source was used as a proxy indicator of socioeconomic status. Smoking and alcohol use history were defined as ever versus never. Information on life adversity and living with sexual partner was gathered using a structured questionnaire (Brugha et al., Reference Brugha, Bebbington, Tennant and Hurry1985; Glover et al., Reference Glover, Garcia-Aracena, Lester, Rice and Rothram-Borus2010; Goodman et al., Reference Goodman, Corcoran, Turner, Yuan and Green1998). Current caregiver HIV-status was determined by their response to a specific question about current HIV status at the baseline assessment.

Statistical analyses

As part of the descriptive analysis, analysis of variance (ANOVA) and chi-square tests were used to compare continuous and categorical variables according to respective caregiver depression symptom levels. Thereafter, multivariable repeated-measures linear regression models using quantified caregiver mean differences (MDs) along with corresponding 95% confidence intervals (95% CI) in age- and sex-standardized outcome measures according to categories of baseline caregiver depression using SAS PROC MIXED. Potential confounders, like child HIV status; time categories (categories: 0, 6 and 12 months); caregiver sex; age; education; lifetime adverse experiences and lifestyle factors (smoking and alcohol use), were adjusted for based on subject-matter knowledge.

We examined the potential for differences in depression association with respective outcomes over time by including a time-by-depression interaction. Associations for depression with respective outcomes were presented separately within follow-up intervals when the p-value for the depression-by-time interaction was <0.1. When the p-value for the depression-by-time interaction was >0.10, time-averaged association of depression with respective outcomes were presented. In all analyses, we accounted for lack of independence among children living in the same household by including household ID as random effect. Given that disorder outcomes were standardized by age, estimated MDs have similar interpretations as Cohen’s d effect sizes, thus providing insight on the clinical importance of depression-associated differences in outcome measures. Small, moderate and large levels of clinical importance were deduced basing on MD thresholds of <0.33, 0.33 ≤ |MD| < 0.50 and |MD| ≥ 0.50, respectively. (Baron-Cohen et al., Reference Baron-Cohen, Wheelwright, Skinner, Martin and Clubley2001) Specifically, SPSS version 25 (Landau and Everitt, Reference Landau and Everitt2003) was used to derive BASC-3 and HSCL-25 reliabilities (Cronbach’s alpha) while all other analyses were performed in SAS version 9.4 (SAS Institute, Inc., Cary, NC, USA). All hypothesis tests utilized were two-sided at alpha = 0.05.

Results

Of the 603 children (whose data were completed by the time of this analysis) assessed for this study, 143 (23.7%), 305 (50.6%) and 155 (25.7%) had caregivers who were in the low-, moderate- and high-depressed symptomology subcategories, respectively, per the HSCL-25. The average age in years for the study children was 11.34 (SD =3.65) and the majority were female 315 (52.24%). Children in respective caregiver depression symptomology levels were significantly different for age. Dependent children of caregivers with high depression symptomology were slightly younger (M = 10.69, SD = 3.78, years old) and mostly CHEU. Study caregivers were of similar age with an overall mean age of 38.96 (SD = 11.64) years as well as years of education. However, caregivers had a significant difference in the number of lifetime adverse experiences with caregivers in the high depression symptomology category having experienced the most adversity (i.e., M = 3.42, SD = 2.83). Most caregivers were female (88.49%), living with HIV, had own source of income and a history of alcohol use. (Table 1).

Table 1. Baseline description of children and adult caregiver pairs from Kampala Uganda with respect adult caregiver depression levels

Note: Unadjusted comparisons.

Overall, regardless of depression symptom level, caregivers’ rating of their children for developmental disorders (i.e., ASD, ADHD and EBD) and FI risk indices improved significantly by 1 year of the study. Caregivers with low depression symptoms rated their children as having a moderate lower risk for all developmental disorders and FI outcomes (all p < 0.05) at 12 months. The same temporal trend, that is, an improvement in children’s probability risk measures, was observed over time regardless of caregiver depression symptom level. (Supplementary Table S1).

The BASC-3 showed poor internal consistency, with Cronbach’s alpha values of 0.55 for both ASD and ADHD probability indices. However, it demonstrated good reliability with 0.72 and 0.75 for EBD and FI probability indices, respectively, and an acceptable reliability of 0.62 for RI. In contrast, the HSCL-25 exhibited good reliability for both caregiver depression and anxiety with Cronbach’s alpha values of 0.87 and 0.82, respectively (Table 2).

Table 2. Reliability of the Behavioral Assessment System for Children (BASC) and Hopkins Symptom Checklist-25 (HSCL-25) in children from Uganda

Note: Results are from proxy reports by caregivers. Cronbach’s alpha threshholds of α ≥ 90 (excellent), 0.7 ≤ α < 0.9 (good); 0.6 ≤ α < 0.7 (acceptable); 0.5 ≤ α < 0.6 (poor) and α < 0.5 (unacceptable).

Adjusted for time, HIV status, sex and age (in children) and HIV status, sex, age, education, lifetime adverse experiences and history of smoking and alcohol use (for caregivers), the caregivers with low levels of depression reported moderately lower ADHD (MD: -0.36; 95% CI: −0.57, −0.15) and EBD (MD: -0.57; 95% CI: −0.78, −0.36) probability scores for their dependent children relative to caregivers with high levels of depressive symptoms. Similarly, caregivers with moderate depressive symptom levels reported lower probability scores for the same outcomes in their dependent children relative to caregivers with high depression. This difference amounted to moderately lower EBD probability scores for dependent children of caregivers with moderate depression level only. We found no evidence that the relationship of caregiver depression to respective outcomes varied over the follow-up period (time-by-depression interaction, p > 0.10); hence, time-averaged associations are shown (Figure 1, Supplementary Table S2).

Figure 1. Association between caregiver depressive symptom level, attention deficit hyperactivity disorder (ADHD) and emotional behavioral disorder (EBD) in dependent children.

Note: Results derived from multivariable regression model with adjustment for time, child (sex, age), caregiver (HIV-status, sex, age, education, lifetime adverse experiences, history of smoking and alcohol). Negative values show that caregivers risk perception for ADHD and EBD in their dependent children decreases with depressive symptoms. The reference group is caregivers with highest level of depression.)

The relationship between caregiver depression symptomology, ASD and FI varied over time. Caregivers with low levels of depression symptoms rated their dependent children as having a low-to-moderate statistically significant likelihood for ASD at baseline (MD = −0.33; 95% CI: −0.58, −0.09). A similar trend was observed at 6- and 12-month follow-up. Except at 6 months (MD = −0.25; 95% CI: −0.46, −0.03), there was no difference between caregivers with moderate versus high levels of depressive symptoms rating for ASD risk in their respective children. A large statistically significant reduced likelihood for FI was reported among caregivers with the least depressive symptoms at baseline and 6 months but was of moderate statistical significance at 12 months (MD = −0.31; 95% CI: −0.57, −0. 06). Caregivers with moderate depressive symptoms reported a small but significantly reduced likelihood of FI in their respective children at baseline (MD = −0.23; 95% CI: −0.43, −0.03) and 6 months (MD = − 0.28; 95% CI: −0.49, −0.07) (Table 3).

Table 3. The relationship between caregiver depression symptomology level, autism spectrum disorder and functional impairment risk among children and adolescents in Uganda across time

Note: *Results include follow-up interval specific associations derived from multivariable regression models adjusted for dependent child’s HIV status and age; caregiver sex, age, education, lifetime adverse experiences, history of smoking and alcohol use. MD = mean difference. Bold numbers represent statistically significant associations.

Discussion

We investigated the relationship between caregiver depression symptom level and developmental disorder risk scores in their dependent children from Uganda over the course of 1 year. Caregivers with the highest levels of depression had a similar proportion of CPHIV and CHUU with most of them being CHEU. Conversely, among caregivers with the least depressive symptoms, most of their dependent children were CPHIV with the least being CHEU. This may suggest that highly depressed caregivers experience stress due to the condition of their HIV-exposed, uninfected children. We found that caregivers with low levels of depression symptomology rated their dependent children as having a moderately lower likelihood for developmental disorder risk (i.e., ASD, ADHD and EBD), and functional impairment than those with moderate or severe range self-reported depression scores. Using thresholds of <0.33, 0.33 ≤ |MD| < 0.50 and |MD| ≥ 0.50 (corresponding to small, moderate or large clinical significance, respectively), low caregiver depression was thus a moderate clinically important predictor of lowered likelihood risk for ASD, ADHD, EBD and FI in dependent children per respective caregiver ratings. When conducting neurodevelopmental disorder risk assessments and diagnoses in children, diagnosing professionals need to contextualize proxy reports of symptoms. This is because caregivers with- and without-depression may underreport or overreport symptoms in their dependent children, respectively.

Our findings are consistent with reports from a large cohort survey study of Taiwanese children of parents with versus without major depression where it was found that compared to the former, children whose parents had major depression had a high likelihood to be diagnosed with ASD and ADHD (Lin et al., Reference Lin, Tsai, Bai, T-J and Chen2024). Further, similar elevated rates of behavioral problems in dependent children have been reported by American (Gartstein et al., Reference Gartstein, Bridgett, Dishion and Kaufman2009), Finnish (Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021) and German (Müller et al., Reference Müller, Achtergarde and Furniss2011) caregivers with respect to internalizing and externalizing behaviors – integral sub-domains often assessed for a diagnosis of developmental disorders. Similarly, Familiar and colleagues (Familiar et al., Reference Familiar, Chernoff, Ruisenor-Escudero, Laughton, Joyce, Fairlie, Vhembo, Kamthunzi, Barlow-Barlow, Zimmer, McCarthy and Boivin2020; I. Familiar et al., Reference Familiar, Nakasujja, Bass, Sikorskii, Murray, Ruisenor-Escudero, Bangirana, Opoka and Boivin2016) found that caregivers from Zimbabwe, Uganda, South Africa and Malawi with high depressive symptoms reported more executive function problems in their 7- to 11-year-old children. Furthermore, among rural caregivers in Kenya (Laurenzi et al., Reference Laurenzi, Hunt, Skeen, Sundin, Weiss, Kosi, Rotheram-Borus and Tomlinson2021) on average depressed mothers rated their children as having more behavioral challenges. Our study findings support earlier observations and highlight that cognitive and mental health outcomes in dependent children, especially when reported by proxies, are likely influenced by the proxy respondent’s affect.

There are mixed research findings pertaining to how maternal depression level impacts their behavioral ratings of dependent children. Some studies have reported that depressed caregivers are more accurate (i.e., they do not overreport or underreport) in behavioral ratings of their children stemming from their awareness of- and sensitization to mental health symptoms (Gartstein et al., Reference Gartstein, Bridgett, Dishion and Kaufman2009; Müller et al., Reference Müller, Achtergarde and Furniss2011; De Los Reyes et al., Reference De Los Reyes, Augenstein, Wang, Thomas, Drabick, Burgers and Rabinowitz2015). Although our findings concur with the former (i.e., depression-distortion hypothesis), it may be important to consider the possibility that depressed parents could be more accurate in their rating of behavioral challenges (especially for externalized behaviors) of their children. The mixed findings suggest the need for triangulation of information from different cross informants before a clinical diagnosis is made (Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021). Several triangulation studies, however, report discrepancies in parental ratings of behavioral manifestations especially when compared to teachers, therapists or their own respective dependent children’s rating of themselves, (Hughes and Gullone, Reference Hughes and Gullone2010; Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021) for internalizing versus externalizing behaviors (Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021). There is more congruence in assessments related to externalized versus internalized behaviors by raters (Müller et al., Reference Müller, Achtergarde and Furniss2011; De Los Reyes et al., Reference De Los Reyes, Augenstein, Wang, Thomas, Drabick, Burgers and Rabinowitz2015; Liskola et al., Reference Liskola, Raaska, Lapinleimu, Lipsanen, Sinkkonen and Elovainio2021). This incongruence has been attributed to the fact that most externalizing behaviors are overt (e.g., aggression, hyperactivity and antisocial behaviors). The converse is reported for internalizing behaviors like anxiety, being withdrawn or depressed, which are covert and harder to observe hence the need for alternative professional opinions before a clinical decision is made.

Unlike for adolescents, younger children are rated exclusively by their caregivers, which makes certain forms of assessment triangulation difficult. Gartstein et al. (Reference Gartstein, Bridgett, Dishion and Kaufman2009), for example, found that compared to their respective sons and daughters, American mothers overreported externalizing and internalizing behavioral problems in their sons and daughters aged 10–14 years, respectively. A similar finding was reported among mothers in Germany who rated their children higher for internalizing and externalizing behavioral problems than teachers and therapists (Müller et al., Reference Müller, Achtergarde and Furniss2011). The need for child and adolescent evaluations by different stakeholders, including their self-evaluations to counter potential bias from the different contexts, cannot be overstated. As found in this study, caregiver rating of their respective dependent children improved across time. It may, therefore, be important to defer diagnostic decisions if a caregiver is found to display traits of depression at the time of their respective children’s assessment for developmental disorders.

Our study has limitations that should be considered in the interpretation of our findings. Specifically, information on depression was collected by caregiver reports during face-to-face interviews in our clinic. Such reports are susceptible to the influence of caregiver social desirability and differences in their recollection of specific child behaviors. These could have led to overreporting or underreporting of behavioral manifestations in their children and yet we did not have cross informants to counteract such potential bias. While caregiver baseline depression is treated as a predictor in relation to outcomes measured over time, it is indeed possible that the child’s condition is fueling depression level of caregivers at baseline. Indeed, the bidirectionality of association is possible and cannot be excluded. Our study had the strength of participants being familiar with the assessment setting and process of being asked about their children’s developmental history or functioning. They thus felt safe with subsequent ratings of their children. Further, our study included the use of longitudinal design with repeated measures of developmental disorder risk in order to confirm findings or highlight changes over time. Additional strengths include a large sample size and the implementation of a rigorous analytic strategy controlling for multiple confounders. Our team has previously demonstrated the reliability of the BASC-3 (Zalwango et al., Reference Zalwango, Kizza, Nkwata, Sekandi, Kakaire, Kiwanuka, Whalen and Ezeamama2016), although for different outcomes. We have now established the reliability of the BASC-3 items assessing developmental disorder indices, functional impairment and RIs as well as subscales of the HSCL-25. It is also important to note that the HSCL-25 has been validated to assess depression in Uganda (Bolton et al., Reference Bolton, Bass, Neugebauer, Verdeli, Clougherty, Wickramaratne, Speelman, Ndogoni and Weissman2003; Ovuga et al., Reference Ovuga, Oyok and Moro2008; Tsai et al., Reference Tsai, Bangsberg, Frongillo, Hunt, Muzoora, Martin and Weiser2012), although further validation (especially correlational studies) with gold-standard developmental disorder diagnosis and screening tools, is needed.

Our findings have ramifications for LMICs – settings (Herba et al., Reference Herba, Glover, Ramchandani and Rondon2016) with a high patient-to-practitioner ratio as well as high rates of maternal depression – (Kamenov et al., Reference Kamenov, Twomey, Cabello, Prina and Ayuso-Mateos2017). Without a deliberate effort to understand and adjust for the potential influence of caregiver depression in child assessment for developmental disorders, there is an increased likelihood of misdiagnosis. This places pressure on already scarce public health resources, making it more likely that those in most need miss out, disadvantaging their ability to thrive in adulthood. This points to the need to support the primary caregivers’ mental health, for example, through counseling, if we are to make a change for the child. Practitioners must be sensitized to the depression-distortion hypothesis and how to control for it in clinical and research settings. Also, future research needs to focus on the complimentary use of both caregiver and child self-rating for developmental disorder risk in LMICs. Information from adolescents’ self-rating, performance-based psychological assessments and cross-informant and clinician ratings must be considered during clinical assessment. Routine mental health screening for caregivers should be conducted, particularly during pediatric developmental evaluations in similar settings. Depression affects women more than men and yet women contribute most to childcare in LMICs highlighting the need for caregiver-focused intervention strategies to enhance child wellbeing. Psychotherapy and pharmacotherapy have been shown to be reliable interventions for caregiver depression or stress level as well as leading to better functioning and quality of life (Cuijpers et al., Reference Cuijpers, Noma, Karyotaki, Vinkers, Cipriani and Furukawa2020; Leichsenring et al., Reference Leichsenring, Steinert, Rabung and Ioannidis2022; Cuijpers et al., Reference Cuijpers, Miguel, Harrer, Plessen, Ciharova, Ebert and Karyotaki2023). More studies targeting depressed caregivers in clinical assessments are warranted to further understand the relationship between caregiver depression level and developmental disorder risk in their respective children (Herba et al., Reference Herba, Glover, Ramchandani and Rondon2016). These studies could also take advantage of psychological interventions for parents and comparison of reporting patterns over time as treatment continues.

Conclusion

The level of depression in caregivers is associated with how they evaluate the behavior of their dependent children. We highlight the need to consider parental depression when dealing with parental reports about child behavior and psychopathology in both research and clinical settings. Whenever possible, multidimensional assessments of developmental disorders and behavioral outcomes should be used, including, as appropriate the child’s, the caregiver’s or other respondent’s perspective.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2025.10078.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/gmh.2025.10078.

Data availability statement

Data supporting findings herein will be availed by the corresponding author (JEA), upon reasonable request and subject to data sharing agreements.

Acknowledgments

The authors would like to thank the study participants and Kawaala Health Center IV staff. Equally, the authors extend their gratitude to the field research staff Nakigudde Gorreth, Esther Nakayenga, Faridah Nakatya, Irene Asiingura, Arnold Katta, Phiona Nalubowa and Isabella Achokotho Akol (Administrative Support).

Author contribution

Conceptualization: J.E.A. and A.E.E.; formal analysis, J.E.A, A.E.E. and A.S.; writing—original draft preparation; J.E.A., A.E.E., A.S. and B.G.; writing—review and editing, J.E.A., A.E.E., A.S., A.C., S.Z. and B.G.; project administration, S.Z. All authors have read and approved the final version of the manuscript.

Financial support

Research funding for data collection leading up to this work was provided by the National Institutes of Health (grant numbers 3R21HD088169-02S1 and R21HD088169; and the CIPHER Grant program of the International AIDS Society (grant number 327-EZE).

Competing interests

The authors declare none.

Ethics statement

This research was conducted with strict adherence to the Declaration of Helsinki. The study was approved by the Institutional Review Boards (or Ethics Committee) of Michigan State University (IRB Protocol numbers: 16-828 and 205), Makerere University College of Health Sciences, School of Medicine (Protocol REC REF numbers: 2017-017 and 2018-099) and the Uganda National Council for Science and Technology (Protocol numbers: SS4378 and HS 2466).

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Figure 0

Table 1. Baseline description of children and adult caregiver pairs from Kampala Uganda with respect adult caregiver depression levels

Figure 1

Table 2. Reliability of the Behavioral Assessment System for Children (BASC) and Hopkins Symptom Checklist-25 (HSCL-25) in children from Uganda

Figure 2

Figure 1. Association between caregiver depressive symptom level, attention deficit hyperactivity disorder (ADHD) and emotional behavioral disorder (EBD) in dependent children.Note: Results derived from multivariable regression model with adjustment for time, child (sex, age), caregiver (HIV-status, sex, age, education, lifetime adverse experiences, history of smoking and alcohol). Negative values show that caregivers risk perception for ADHD and EBD in their dependent children decreases with depressive symptoms. The reference group is caregivers with highest level of depression.)

Figure 3

Table 3. The relationship between caregiver depression symptomology level, autism spectrum disorder and functional impairment risk among children and adolescents in Uganda across time

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Author comment: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR1

Comments

No accompanying comment.

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Thank you for the opportunity to review ‘Association of Adult Caregiver Depression with Developmental Disorder Likelihood in Ugandan Children Perinatally Exposed and Unexposed to HIV’. The topic is of potential interest for the audience of the journal. The manuscript has a few shortcomings and overall requires proof reading to address grammar and style. Other comments by section are as follows.

Abstract

Introduce acronym when first used (FI)

Ln 51 is not clear and needs rephrasing

Introduction

Given that the sample for this study is based on HIV exposure, and HIV is mentioned in the title, this section should be more tailored to research focusing on children living and/or exposed to HIV and their caregivers.

Ln 119 cites studies as ‘Boivin and colleagues’ yet the references provided are from articles by Familiar. Please revise

Ln 124 Phrasing is hard to understand. Please revise

Methods

Provide the breakdown for CPHIV, CHEU and CHUU in line 141

Please clarify when were CHEU and CHUU recruited (eg. with the 2017 or 2021 studies or independently?)

Ln 160 Which is the parent study? The section above references 2 studies from where CPHIV were recruited, in addition to the recruiting methods used for CHEU and CHUU. Did these criteria apply to all?

Ln 163 What is the study area? Only attendance to the Kawaala clinic is mentioned

The HSCL also measures anxiety, yet results are only presented for depression. Was there a specific reason why? Seems like a lost opportunity to add results

Similarly, given that 3 HIV exposure groups were included and that there were differences in the level of caregiver depression within each group, why was HIV status only adjusted for?

Results

Ln 239. Study design characteristics should be reported in the methods section

Ln 248 Not clear what this sentence says, please revise

Discussion

Ln 294 Phrase is repetitive and unclear. Please revise

Although the depression-distortion hypothesis and the sensitization to mental health symptoms are discussed, the interpretation of results is assuming unidirectionality of the relationship between caregiver depression and child ratings. However, a more complete analysis should also take into account the possibility of bidirectionality, in that depression symptoms may be due to developmental challenges in the dependent child.

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

This manuscript investigates whether caregiver depressive symptoms are associated with increased perceived risk of developmental disorders in their children. The study is based on longitudinal data collected in Uganda and uses multivariable models to evaluate changes over a 12-month follow-up.

The central hypothesis is clearly stated by the authors:

“We hypothesized that caregivers with more symptoms of depression would report greater risk for their child to have a developmental disorder, consistent with the depression–distortion hypothesis.”

This is a relevant research question, particularly in low-resource settings where caregiver-reported data often play a key role in early identification of developmental concerns.

The manuscript is well organized and presents findings clearly. However, there are several areas that would benefit from clarification or improvement, particularly related to methodology, statistical reporting, justification of setting, and table/figure presentation.

Specific comments:

1. Study design and methodology

• The study is a secondary analysis of a prospective cohort. While this is stated in the Methods section, it should also be mentioned clearly in the Introduction.

• There is no mention of a sample size calculation or power analysis. While not always required for secondary analyses, it would be helpful to include a brief discussion on whether the available sample size was adequate to detect group differences across depression strata.

• Sampling was non-random and based on clinic recruitment and social networks. This limits generalizability and should be noted explicitly as a potential source of selection bias.

• The instruments used (BASC-3 and HSCL-25) were translated into Luganda. However, there is no evidence provided of formal psychometric validation in the local population. This should be acknowledged as a limitation.

2. Table 1

• Variables were compared across depression groups using one-way ANOVA (continuous) and chi-square tests (categorical). The label “ANOVA/χ²” should be revised to specify: “One-way ANOVA (continuous variables) and chi-square test (categorical variables).”

3. Table S1

• This table is useful for observing unadjusted trends in standardized scores over time. However, sample sizes (n) are only reported for ASD and should be included for the remaining domains (ADHD, EBD, FI) for consistency.

• The table does not specify whether the values are unadjusted means. This should be clarified.

4. Table 2

• The column labeled “M (95% CI)” should be renamed to “Adjusted MD (95% CI)” to clearly indicate that the values represent adjusted mean differences rather than raw means.

• Sample sizes for each depression category (Low, Moderate, High) are missing. Including the n per group—either within the table or as a footnote, would allow readers to assess the robustness of the estimates.

• The “Time × Depression” interaction column reports only p-values. Reporting the corresponding interaction coefficients and confidence intervals would provide a more complete understanding of the longitudinal association.

• Although the statistical analysis section refers to Cohen’s d thresholds, the clinical interpretation of the MD values is not addressed. A concise statement on whether the differences correspond to small, moderate, or large effects would strengthen the interpretation of results.

5. Figure 1

• Including sample sizes per group and exact numerical values for the point estimates and confidence intervals, either within the figure or as a supplementary table, would improve interpretability.

• The reference group used for comparisons (i.e., caregivers with high depressive symptoms) should be clearly stated in the figure caption to avoid ambiguity.

• The direction of negative values is not explained. It would be helpful to state explicitly that negative values represent lower standardized scores compared to the reference group.

• Acronyms in the title (ADHD, EBD) should be defined at first mention, either in the title or in the figure legend.

6. Discussion

• The interpretation of results is consistent with the stated hypothesis: “caregiver depression level would be associated with higher risk perception and thus higher developmental disorder risk scores in their children.” However, the discussion omits alternative explanations. For greater analytical depth, the authors should briefly mention evidence showing that caregiver depression does not always result in risk overestimation, e.g., studies indicating accurate or even underreported symptoms by depressed caregivers.

• Policy implications are presented in general terms. The discussion should include specific and actionable recommendations, such as incorporating routine caregiver mental health screening as part of pediatric developmental assessments in similar settings.

7. Justification of setting

• The study is conducted in Uganda, but this is not clearly justified in the Introduction.

• Since the setting is central to the relevance of the findings (e.g., high burden of HIV, limited mental health infrastructure), a brief explanation should be included early on to clarify why this context is particularly suitable for the research question.

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR4

Conflict of interest statement

Reviewer declares none.

Comments

Thank you very much for the opportunity to review this manuscript. The paper is well written, and the authors address a gap in mental health and developmental disorders research by examining the relationship between caregiver mental health and developmental disorders rating outcomes in Uganda. The study, which employed a 12-month longitudinal design, investigated the hypothesis that a caregiver’s depression level is associated with their subjective ratings of their dependent children’s risk for developmental disorders. The study’s central finding is that caregivers with higher depressive symptoms consistently rated their children as having a greater likelihood of developmental disorders, including autism, ADHD, suggesting that caregiver mental health is a crucial factor to consider during child assessments.

Below are some suggestions for the author’s consideration.

Abstract

The paper included populations exposed, infected or uninfected with HIV. Could you please mention this in the abstract, as you point this out in the title of the paper as well?

Introduction

Line 69: The prevalence increased by 48.1% to what percentage? Could you please add this?

Lines 69, 72, 73: Could you please add the proper in-text citation for the GBD report?

Lines 126-133: When stating the objective of the study in the introduction, you don’t mention the population included. Could you please add that?

Methods

Line 207: Socioeconomic status was defined as the presence or absence of an income source. Would it be fairer to say that this question is a proxy for SES instead of a definite measure of SES.

Line 208 – 209: Information on life adversity and living with a sexual partner was gathered using a structured questionnaire. Could you please share this questionnaire as an appendix so that we know the questions asked?

I also notice that the number of adverse life experiences wasn’t a covariate adjusted for in the models. Is there a reason this wasn’t included? Considering that exposure to adverse life events is associated with depressive symptoms? The authors do find that ‘caregivers had a significant difference in the number of adverse lived experiences, with caregivers in the high depression symptomology category having experienced the most adversity.’

Results

Line 248 to 249 - Low vs. high depression symptom caregivers rated their children as moderately lower but significant for all developmental disorders and FI (all p < 0.05) at 12 months

Could you please phrase this sentence differently? It is hard to understand as it is.

Discussion

CHUU and CHIV have almost a similar amount of moderation and high depression from the observations in Table 1. Could you please discuss this in some detail?

Limitations

The main tools used (HSCL, BASC) have not been psychometrically explored in this setting, meaning there is missing evidence on validity and reliability. You mention this in the methods section. Could you please add this to the limitations section as well? While using the sample to get standardised scores and summation are pragmatic approaches, there is a possibility that the approaches may not be psychometrically sound in this cultural context.

References

Please check the reference list, line 446, the title of the paper is incomplete.

Recommendation: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR5

Comments

No accompanying comment.

Decision: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R0/PR6

Comments

No accompanying comment.

Author comment: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR7

Comments

No accompanying comment.

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR8

Conflict of interest statement

I have no competing interests

Comments

Authors have addressed all comments raised and significantly revised the manuscript.

I have no further comments

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR9

Conflict of interest statement

Reviewer declares none.

Comments

The revised manuscript shows clearer organization and stronger methodological transparency in response to prior reviewer feedback. Key aspects such as sample recruitment, the use of SES as a proxy, covariate adjustments, and psychometric considerations have been more clearly explained.

Tables and figures are now more readable, with added clarity regarding group sizes, statistical labels, and reference categories. The discussion includes expanded analysis on possible bidirectional effects and variation in caregiver reporting, which strengthens the interpretation of the findings.

No further methodological concerns remain from my side.

Review: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR10

Conflict of interest statement

Reviewer declares none.

Comments

Thank you to the authors for the careful attention to the feedback and comments. I do not further comments and wish them the best with the next steps.

Recommendation: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR11

Comments

No accompanying comment.

Decision: Association of adult caregiver depression with developmental disorder likelihood in Ugandan children perinatally exposed and unexposed to HIV — R1/PR12

Comments

No accompanying comment.