The research team, led by Varsha Singh with colleagues Harish Chaudhury and Mahim Sagar, set out to fill a conspicuous gap in the scientific literature. Most of what psychologists know about adolescent mental health comes from Western, industrialized nations, yet the majority of the world’s adolescents live elsewhere, often in societies with very different family structures, gender norms, and resource constraints. In developing countries with patriarchal traditions, early gender inequity can shape everything from nutrition to freedom of movement, potentially leaving distinct fingerprints on physical health, family life, and the social worlds teenagers inhabit. Whether the well-established Western patterns of sex differences in psychological problems hold in such contexts was, until now, an open question.

To answer it, the researchers administered the Indian Adolescent Health Questionnaire alongside the widely used Strengths and Difficulties Questionnaire to 5,121 students. The sample was 48 percent male and 39 percent female, with 13 percent of respondents not reporting sex. The health questionnaire captured physical health, nutrition, hygiene, safety attitudes, substance use, academics, and perceptions of family and school environments, while the Strengths and Difficulties Questionnaire measured adjustment problems along two broad axes: internalizing difficulties, which turn distress inward as emotional symptoms, peer problems, and withdrawal, and externalizing difficulties, which turn it outward as conduct problems, hyperactivity, and risk-taking.

The physical health results alone reveal how early and how differently gender inequity can register in the body. Male adolescents reported better overall physical health and better nutrition than their female classmates. Female adolescents, by contrast, reported more favorable attitudes toward safety, substance use, and academics. In a society where girls may eat last, move less, and enjoy less autonomy, the researchers argue, these divergences are not trivial quirks of self-report but early markers of a gender gap in health that can widen across the lifespan. Notably, the sexes did not differ on every dimension: hygiene attitudes and perceptions of the family environment were statistically indistinguishable between boys and girls, suggesting that some foundations of adolescent wellbeing are shared even where risks diverge.

Correlation analyses confirmed that the domains of adolescent life do not operate in isolation. Physical health, family environment, school environment, and broader social environment were all significantly intercorrelated, with correlations reaching significance at p = .00. In other words, a teenager who is physically run down is more likely to be embedded in strained family or school contexts, and vice versa. Independent-samples t-tests showed significant sex differences in nearly every subdomain measured, with hygiene and family environment the only exceptions. This dense web of associations underscores a central premise of the study: adolescent maladjustment cannot be understood as a purely psychological phenomenon detached from the body, the household, and the classroom.

The scale of psychological difficulty the survey uncovered is sobering. Using standard cutoffs on the Strengths and Difficulties Questionnaire, the researchers found that 22.8 percent of the school students fell into the borderline range for adjustment problems, while 16 percent were categorized as highly problematic—roughly one in six adolescents showing clinically concerning levels of difficulty. Contrary to the pattern often reported in Western samples, where girls predominate in internalizing problems and boys in externalizing ones, this study found no significant sex difference in internalizing problems. Boys and girls were equally likely to report emotional symptoms and peer difficulties. Externalizing problems, however, did show the expected male skew, with boys displaying higher overall maladjustment and more outward-directed difficulties.

One of the most intriguing findings concerns what drives boys’ internalizing distress. In Western literature, girls’ emotional problems are typically attributed to relational and internal pressures, while boys’ difficulties are framed as behavioral. Here, the researchers found that male students’ internalizing problems were linked specifically to their peer relationships. This suggests that in the Indian school context, boys’ emotional lives may be more vulnerable to peer dynamics than conventional frameworks anticipate—a finding with direct implications for how anti-bullying programs, friendship interventions, and school counseling are designed. If peer problems are the gateway to boys’ emotional distress, interventions targeting peer culture may pay dividends in both internalizing and externalizing outcomes.

The study also quantified the protective role of family with unusual precision. Using partial correlations that statistically controlled for both sex and grade level, the researchers found that family support was negatively correlated with emotional problems (r = -.05, p < .05), meaning that adolescents reporting stronger family support reported fewer emotional difficulties even after accounting for demographic differences. Interestingly, hygiene attitude showed a small positive correlation with hyperactivity problems (r = .033, p < .05), a counterintuitive association the authors note as a target for further investigation. The effect sizes are modest, as is typical in large correlational studies, but the direction of the family finding is consistent with a broad literature: the household remains a critical buffer against the development of emotional disorders during adolescence.

The practical implications the authors draw are twofold. First, school-based interventions that actively involve families may shield adolescents from mental health problems, leveraging the demonstrated protective association between family support and emotional wellbeing. Second, prevention efforts should be sex-specific in their targets: nutrition and physical activity for girls, whose physical health and dietary status lag behind boys’ in this sample, and drug awareness and safety for boys, whose externalizing risks and substance-related attitudes are more concerning. Rather than a one-size-fits-all mental health curriculum, the data argue for calibrated programs that address the distinct risk profiles each sex carries into adolescence in this cultural context.

The researchers are careful to frame their work as a foundation rather than a final word. They call for the use of standardized health measures that would allow longitudinal follow-up, enabling researchers to track how the health gender gap evolves across developmental phases from adolescence into adulthood. They also emphasize the need to account for the urban-rural divide that accentuates health disparities in developing countries, and for samples that reflect the diversity of national populations. With nearly four in ten adolescents in their own sample showing borderline or clinically significant difficulties, the stakes of that research agenda are clear. Adolescence, the study reminds us, is not merely a turbulent phase to be survived; it is the period in which the biological, psychological, and social foundations of adult health are poured—and in India’s classrooms, those foundations are being laid unevenly along lines of sex, family, and circumstance.

Subject of Research: Sex-specific associations between physical health, social support, and mental health maladjustment among school-going adolescents in India

Article Title: Association between physical and mental health in school-going adolescents: Sex-specific patterns of maladjustment in formative years of life

Article References: Singh, V., Chaudhury, H., & Sagar, M. (2026). Association between physical and mental health in school-going adolescents: Sex-specific patterns of maladjustment in formative years of life. PLOS Mental Health, 3(9), e0000708. https://doi.org/10.1371/journal.pmen.0000708

Image Credits: AI Generated

DOI: 10.1371/journal.pmen.0000708

Keywords: adolescent mental health, internalizing problems, externalizing problems, sex differences, physical health, family support, school environment, Strengths and Difficulties Questionnaire, India, gender inequity, nutrition, peer problems

The scale of the undertaking is striking. Following the Joanna Briggs Institute guidance for scoping reviews and reporting to PRISMA standards, the team searched six databases, including ERIC and PsycINFO, for studies published since 2015. They identified and synthesised data from 269 studies, using both thematic and methods-oriented approaches to chart what has been measured, where, and how. The result is less a single headline finding than a detailed cartography of an entire research field, revealing not only what scientists know about schools and neighbourhoods but also, crucially, the structural blind spots that prevent them from understanding how these two environments interact in a young person’s daily life.

The most eye-catching imbalance concerns the distribution of research attention across contexts. Of the 269 studies reviewed, 73.2 percent focused on the school environment, while only 14.5 percent examined the neighbourhood, and just 12.3 percent considered both contexts together. In other words, for every study that looked at how the streets, services, and social fabric of a neighbourhood shape adolescent mental health, roughly five examined schools. This skew matters because adolescence is not lived in one setting at a time. A teenager who spends their days in a supportive school may still return each evening to a neighbourhood marked by deprivation, disorder, or weak community ties, and the review suggests science has barely begun to quantify that interplay.

The imbalance extends to outcomes as well as settings. Most of the studies in the review, 72.9 percent, investigated mental health outcomes, and the single most researched outcome was depression. Evidence about anxiety, broader internalising symptoms, and the positive dimensions of adolescent experience, including psychological wellbeing, life satisfaction, positive affect, and negative affect, was comparatively limited. This pattern reflects a long-standing tendency in psychological research to concentrate on psychopathology rather than flourishing, but it has practical consequences. Interventions designed to prevent depression may look very different from those designed to build life satisfaction or positive emotion, and a literature dominated by one outcome cannot easily inform strategies aimed at the full spectrum of young people’s mental health.

The review also exposes methodological constraints that go to the heart of how developmental science is done. Longitudinal designs, which follow adolescents over time and allow researchers to distinguish cause from correlation, accounted for only 29.0 percent of studies. Multilevel analyses, the statistical framework needed to separate the effect of an individual school or neighbourhood from the characteristics of the young people within them, appeared in 26.8 percent of studies, and the more sophisticated cross-classified models that can simultaneously account for both a school and a neighbourhood were almost absent, featuring in just 1.5 percent of the evidence base. Pathway analyses, which trace the mechanisms by which environmental factors exert their influence, appeared in only 16.0 percent of studies.

These numbers are not merely technical trivia. Without longitudinal data, researchers cannot establish whether a stressful school environment precedes the onset of depressive symptoms or simply co-occurs with them. Without multilevel and cross-classified models, they cannot tell whether attending a particular school matters in itself or whether schools merely concentrate young people who share similar backgrounds. And without pathway analyses, they cannot identify the modifiable mechanisms, such as peer relationships, safety perceptions, or access to green space, through which environments translate into psychological outcomes. The authors argue that these infrequent designs are fundamentally limiting understanding of developmental processes and of the influence of shared contexts, leaving the field unable to answer the question of how, not just whether, environments matter.

Within the studies that do exist, the review found that a wide range of factors have been researched across both school and neighbourhood settings, but the focus is predominantly on social-relational factors. That emphasis is understandable: relationships with teachers, peers, family members, and neighbours are intuitively central to adolescent life, and they are comparatively easy to measure with questionnaires. Yet it means that physical, structural, and material features of environments, from built infrastructure to neighbourhood socioeconomic conditions, have received far less systematic attention. A field skewed toward one category of predictor risks overlooking risk and protective factors that could be modified through planning, housing, and local government policy rather than through educational or clinical services alone.

The practical stakes of these gaps are considerable. The authors frame their conclusions around prevention: knowing which factors within school and neighbourhood environments predict, and exert influence, both positively and negatively, on adolescent mental health and wellbeing is essential for successful prevention efforts. If the evidence base is siloed, with school researchers and neighbourhood researchers largely working in parallel, then interventions may target one context while ignoring the other, and the cumulative burden of environmental risk or the buffering power of environmental support will go unmeasured. The review’s finding that only about one in eight studies considered both contexts in tandem suggests that the interaction effects, where a strong school might offset a disadvantaged neighbourhood or vice versa, remain largely invisible to science.

There is also a demographic dimension to the field’s limitations. The review deliberately focused on adolescents aged 10 to 19, the period during which the school and the neighbourhood function as two fundamental developmental systems, and during which internalising symptoms typically emerge and wellbeing often declines. Evidence generated from narrow outcome measures and narrow contexts cannot serve the full diversity of young people’s experiences. The authors note that addressing the gaps they identify is essential to identify modifiable risk and protective factors in school and neighbourhood settings, a phrase that signals the review’s ultimate purpose: not simply to catalogue what has been studied, but to redirect future research toward the questions that prevention science most needs answered.

For a research community and a public increasingly alarmed by adolescent mental health trends, the review offers a sobering message wrapped in an encouraging one. The encouraging part is that 269 quantitative studies have been published in under a decade, demonstrating genuine scientific momentum and a rich, wide-ranging body of work on the environments young people inhabit. The sobering part is that this momentum has been channelled unevenly, toward schools rather than neighbourhoods, toward depression rather than wellbeing, and toward cross-sectional snapshots rather than the longitudinal, multilevel, and mechanistic designs that could reveal how environments actually shape developing minds. Until those imbalances are corrected, the authors suggest, our understanding of which places help teenagers thrive, and which place them at risk, will remain fundamentally incomplete.

Subject of Research: School and neighbourhood predictors of adolescent internalising symptoms and wellbeing

Article Title: Neighbourhood and school predictors of adolescent internalising symptoms and wellbeing: a scoping review

Article References: O’Donoghue, K., Thornton, E., Wigelsworth, M., & Humphrey, N. (2026). Neighbourhood and school predictors of adolescent internalising symptoms and wellbeing: a scoping review. BMC Public Health. https://doi.org/10.1186/s12889-026-29462-y

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29462-y

Keywords: adolescence, mental health, wellbeing, school environment, neighbourhood, internalising symptoms, depression, scoping review, multilevel analysis, longitudinal research, public health, social determinants