Mental health is a global priority, fundamental to the health and development of all nations. The contribution of mental disorders to the global burden of disease is widely recognized; however, a significant care gap exists, particularly in the context of low-and middle-income countries. In India, for instance, there are 0.3 psychiatrists per 1,00,000 population. To address this severe shortage of mental health professionals and resources globally, the World Health Organization has suggested the adoption of a community-based mental health care approach, where the locus of services shifts from institutional care to local communities. Over the last five decades in India, diverse approaches to mental health care have emerged because of the interaction of dominant discourses on community-based mental health care with various socio-cultural contexts. In addition to the government-run mental health program and programs run by medical colleges, civil society organizations have increasingly contributed to this space. Although studies have assessed individual interventions, there exists a need to map these interventions and synthesize the approaches for service delivery to inform public health practice in India and in low-and middle-income countries at large. This narrative review attempts to map and synthesize insights from community-based mental health interventions in India implemented across diverse contexts. We searched peer-reviewed journal articles and book chapters published in the English language between 2010 and 2023. We present the synthesis of approaches used in 41 community-based mental health interventions, where we unpack key intervention components and processes adopted for primary prevention and promotion; identification and case detection; treatment and care, and rehabilitation in the community. This review presents key recommendations for practitioners about the role of community, the diversity and commonalities in various approaches across contexts, the roles of various actors in service delivery, and the shared values guiding the conceptualization and implementation of community-based mental health interventions in India.

The ageing population is anticipated to encounter several challenges related to sustainability. While policies such as ageing in place can benefit older adults in terms of familiarity and independence, these policies can also lead to increased social isolation. To facilitate ageing in the right place, it is crucial to understand how the design of environments promotes social sustainability. This article presents a scoping review of empirical research focused on the characteristics of housing and surrounding environments that support social integration, cohesion and participation of older adults. The search strategy was conducted in five databases, resulting in 20,477 articles. After screening 7,550 titles and abstracts based on predetermined inclusion and exclusion criteria, 19 articles were selected. The findings of these articles are presented across three themes: (1) housing environments, (2) environments beyond the home and (3) the social environment. Although there is no one-size-fits-all housing model for older adults, the authors suggest that ageing in place policies should be reconceptualized as ageing in ‘places’ and ‘spaces’, emphasizing the diversity of social needs of older adults. Understanding the environmental characteristics, the role of accessible and safe environments beyond the home, and how people and culture support a sense of belonging provides a policy direction for how to design socially sustainable environments for older adults in the future.

Advertising click-through rate (CTR) prediction is a fundamental task in recommender systems, aimed at estimating the likelihood of users interacting with advertisements based on their historical behavior. This prediction process has evolved through two main stages: from traditional shallow interaction models to more advanced deep learning approaches. Shallow models typically operate at the level of individual features, failing to fully leverage the rich, multilevel information available across different feature sets, leading to less accurate predictions. In contrast, deep learning models exhibit superior feature representation and learning capabilities, enabling a more realistic simulation of user interactions and improving the accuracy of CTR prediction. This paper provides a comprehensive overview of CTR prediction algorithms in the context of recommender systems. The algorithms are categorized into two groups: shallow interactive models and deep learning-based prediction models, including deep neural networks, convolutional neural networks, recurrent neural networks, and graph neural networks. Additionally, this paper also discusses the advantages and disadvantages of the aforementioned algorithms, as well as the benchmark datasets and model evaluation methods used for CTR prediction. Finally, it identifies potential future research directions in this rapidly advancing field.

Parkinson’s disease (PD) has become the second most prominent neurogenerative disorder relating to aging individuals. PD involves the loss of neurons containing dopamine in the midbrain and leads to a number of motor issues as well as non-motor complications such as cognitive and psychological abnormalities. The default mode network (DMN) is a complex brain network primarily active during rest and serves multiple roles relating to memory, self-referential processing, social cognition and consciousness and awareness. Multiple brain regions are involved in the DMN such as the medial prefrontal cortex (mPFC), the posterior cingulate cortex (PCC), the inferior parietal lobule, the precuneus and the lateral temporal cortex. Normal DMN connectivity is vital to preserving consciousness and self-awareness. Neurological pathologies such as PD disrupt DMN connectivity, leading to complex issues. Functional MRI (fMRI) is a neuroimaging modality used to observe brain activity through measuring blood flow differences as it relates to brain activity. DMN connectivity experiments using fMRI find that individuals with PD exhibit impaired DMN connectivity in specific regions including the PCC, mPFC and the precuneus. Individuals with greater PD motor symptoms have also been found to suffer larger alterations in DMN connections anatomically within the frontal lobe and PCC. While fMRI has been utilized as a tool to explore the relationship between PD patients and DMN connectivity, future research should look to develop a better understanding of the specific mechanisms of action that drive this link between DMN abnormality and PD severity.

There is mounting interest in the dual health and environmental benefits of plant-based diets. Such diets prioritise whole foods of plant origin and moderate (though occasionally exclude) animal-sourced foods. However, the evidence base on plant-based diets and health outcomes in Australasia is limited and diverse, making it unsuitable for systematic review. This review aimed to assess the current state of play, identify research gaps and suggest good practice recommendations. The consulted evidence base included key studies on plant-based diets and cardiometabolic health or mortality outcomes in Australian and New Zealand adults. Most studies were observational, conducted in Australia, published within the last decade, and relied on a single dietary assessment about 10–30 years ago. Plant-based diets were often examined using categories of vegetarianism, intake of plant or animal protein, or dietary indices. Health outcomes included mortality, type 2 diabetes and insulin resistance, obesity, CVD and metabolic syndrome. While Australia has an emerging and generally favourable evidence base on plant-based diets and health outcomes, New Zealand’s evidence base is still nascent. The lack of similar studies hinders the ability to judge the overall certainty of evidence, which could otherwise inform public health policies and strategies without relying on international studies with unconfirmed applicability. The proportional role of plant- and animal-sourced foods in healthy, sustainable diets in Australasia is an underexplored research area with potentially far-reaching implications, especially concerning nutrient adequacy and the combined health and environmental impacts.

Community advisory boards (CABs) have traditionally been formed in the context of discrete projects and served to support community protections within the confines of the associated investigation(s). However, as funding bodies increasingly prioritize health equity, CABs have shifted – evolving into long-running organizations with broader scope and value. An emerging cornerstone of these project-independent boards (PICABs) has been the formation of “Research Review Boards” (RRBs). While unified in their goal of promoting community protection and representation in health research, it is unknown to what degree RRBs differ on key features including membership, leadership, service reach, and – crucially – impact. A scoping review was conducted according to PRISMA-ScR guidelines to analyze current practices for RRBs. Of screened articles (n= 1878), 25 were included, corresponding to 24 unique RRBs. Findings indicated overlaps in the stated missions, funding structures, and processes of most RRBs. Differences in membership composition, location, service-reach, leadership structures, evaluation procedures, and perceived impact were evident. Where data is available, RRBs receive positive endorsement from both internal members and external users. Standardization of evaluation procedures is needed to fully quantify impact. Additional challenges to sustainability, communication, and conflicts (e.g., of interest, commitment, and power differentials) merit further consideration.

Our field has reached a critical juncture. Authentic leadership, which once promised to illuminate how leaders inspire and influence through genuine actions, has become mired in conceptual ambiguity and ideological bias. Much of the research is based on evaluations of behaviour conflated with antecedents and outcomes, presuming an oversimplified, positive view of authenticity. To advance, we must refocus on what authentic leaders actually do – their discrete behaviours – as signals of leadership. In this editorial, we redefine authentic leadership through signalling theory to address unresolved critiques and provide a platform for meaningful progress. We then summarise and synthesise the articles in this special issue, which systematically review the literature, present dynamic models of authenticity, introduce ‘bounded authenticity’ in leadership roles, advocate for rigorous experimental methods, and offer empirical support. Collectively, these papers advance authentic leadership theory with greater theoretical precision and a conceptual nuance that reflects the modern organisational leadership landscape.

Growing evidence highlights the critical role of patient choice of treatment, with significant benefits for outcomes found in some studies. While four meta-analyses have previously examined the association between treatment choice and outcomes in mental health, robust conclusions have been limited by the inclusion of studies with biased preference trial designs. The current systematic review included 30 studies across three common and frequently comorbid mental health disorders (depression N = 23; anxiety, N = 5; eating disorders, N = 2) including 7055 participants (Mage 42.5 years, SD 11.7; 69.5% female). Treatment choice most often occurred between psychotherapy and antidepressant medication (43.3%), followed by choice between two different forms of psychotherapy, or elements within psychotherapy (36.7%). There were insufficient studies with stringent designs to conduct meta-analyses for anxiety or eating disorders as outcomes, or for treatment uptake. Treatment choice significantly improved outcomes for depression (d = 0.17, n = 18) and decreased therapy dropout, both in a combined sample targeting depression (n = 12), anxiety (n = 4) and eating disorders (n = 1; OR = 1.46, 95% CI: 1.17, 1.83), and in a smaller sample of the depression studies alone (OR = 1.65, 95% CI: 1.05, 2.59). All studies evaluated the impact of adults making treatment choices with none examining the effect of choice in adolescents. Clear directions in future research are indicated, in terms of designing studies that can adequately test the treatment choice and outcome association in anxiety and eating disorder treatment, and in youth.

Multiple reviews have examined the impact of nutritional interventions in patients with burn injuries; however, discrepancies among results cast doubt about their validity. We implemented this review to assess the impact of various nutritional interventions in adult patients with burn injuries. We conducted a thorough search of PubMed, Scopus and Web of Science databases until 1 August 2024, to identify relevant meta-analyses of intervention trials, examining the impact of nutritional interventions on burn patients. We adopted the random-effect models to determine the pooled effect sizes while employing the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) to examine evidence certainty. Thirty-three original intervention trials from eleven meta-analyses were entered in our review. Early enteral nutrition could substantially reduce overall mortality (relative risk (RR): 0·36, 95 % CI: 0·19, 0·68, GRADE = moderate certainty), hospital stay (mean difference (MD): −15·3, 95 % CI: −20·4, −10·2, GRADE = moderate certainty) and sepsis risk (RR: 0·23, 95 % CI: 0·11, 0·45, GRADE = moderate certainty). Glutamine showed a notable decrease in the length of hospital stay (MD: −6·23, 95 % CI: −9·53, −2·94, GRADE = low certainty). However, other nutritional interventions, including combined immunonutrition, branched-chain amino acids, fish oil, ornithine α-ketoglutarate and trace elements, did not significantly affect the assessed clinical outcomes. Early enteral nutrition might impose a beneficial effect on mortality, hospital stay length and incidence of sepsis with moderate evidence. Lower length of hospital stay was also seen in burn patients supplemented with glutamine, although the evidence was weak.

Difficulty falling asleep and/or maintaining sleep are common complaints in patients visiting medical clinics. Insomnia can occur alone or in combination with other medical or psychiatric disorders. Diagnosis and management of insomnia at times are perplexing. This updated study review aimed at a clinical algorithm for diagnosis and treatment of insomnia in adults. We developed an easy-to-apply algorithm to diagnose and manage insomnia that can be used by general practitioners and non-sleep specialists. To this end, our team reviewed the previous studies to determine the prevalence, evaluation, and treatment of insomnia. We used the results to develop a clinical algorithm for diagnosing and managing insomnia.

Insomnia occurs in a short (less than 3 months duration) or chronic form (≥3 months duration). Insomnia management includes both pharmacological and non-pharmacological interventions. There is ample research evidence for the impact of a variety of non-pharmacological treatments, but both types of treatments can be used for each patient. If there are any contradictions in the diagnosis process, therapists should use objective instruments, such as polysomnography, but they should not be in a hurry to use these instruments.

This scoping review addresses gaps in the existing literature on dietary guidelines for pregnant and lactating women globally. The study delves into adherence levels, identifies influencing factors and examines outcomes associated with these guidelines. Analysing food-based dietary guidelines (FBDG) from around the world, the review reveals that half of the countries lack FBDG, with only 15% providing tailored advice for pregnant and lactating women. Utilising data extracted from forty-seven articles across MEDLINE and EMBASE, the study highlights a scarcity of adherence studies, particularly in low- or middle-income countries (LMIC), and emphasises the lack of research during lactation. Overall adherence to dietary guidelines is low, with disparities in fruit, vegetable, whole grain and fish consumption. Positive correlations with adherence include age, education, employment, social class and certain medical histories, while negative correlations involve smoking, alcohol consumption, metropolitan residence and elevated BMI. The study documented significant associations between adherence and reduced risks of gestational complications but calls for further exploration of intermediate nutritional outcomes such as micronutrient deficiencies and child growth. Emphasising the urgency for globally standardised guidelines, especially in LMIC, this review provides a foundational call for prioritised studies and strategies to enhance dietary practices for pregnant and lactating women worldwide.