Disentangling the relative influence of schools and neighborhoods on adolescents' risk for depressive symptoms

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing

OBJECTIVE

Adolescent wellbeing is a key research and policy priority, but little is known about neighbourhood-level influences. This study examined the extent to which adolescents' life satisfaction and internalising symptoms vary between neighbourhoods, and which neighbourhood characteristics are associated with individual outcomes.

METHOD

Baseline data from the #BeeWell cohort study in Greater Manchester (England) including 35,902 adolescents (aged 12-15) across 243 neighbourhoods were linked to neighbourhood characteristics (e.g. access to education and health services, leisure facilities) from the Co-op's Community Wellbeing Index and analysed using multi-level regression.

RESULTS

Neighbourhoods explained 0.61% and 1.17% of the variation in life satisfaction and internalising symptoms, respectively. Socio-demographic inequalities in these outcomes varied across neighbourhoods. Several neighbourhood characteristics were associated with wellbeing, but differences across model specifications were observed (e.g. adjusted vs unadjusted; unique associations vs grouped domains). However, higher levels of perceived wellbeing support from local people were associated with lower internalising symptoms in all models. Other characteristics associated with better wellbeing outcomes in various models included lower GP antidepressant prescription rates, and better access to health services, areas for leisure, and good places to spend free time.

CONCLUSION

Neighbourhoods account for a small but significant proportion of the variance in adolescent life satisfaction and internalising symptoms. Some neighbourhood characteristics (notably neighbourhood social capital) are associated with these outcomes at the individual level, and disparities in these outcomes for some groups vary across neighbourhoods. Our findings speak to the role of place as a determinant of adolescent wellbeing, with consequent implications for intervention.

Statement on the effects of law enforcement in school settings

School-based law enforcement (SBLE) have become increasingly common in U.S. schools over recent decades despite the controversy surrounding their presence and lack of consensus around their associated benefits and harms. Drawing on the history and evidence base regarding SBLE, we advocate for an end to SBLE programs. Grounding our argument in principles of Community Psychology and positive youth development, we outline how the presence and actions of SBLE negatively affect individual students as well as school systems, with particularly harmful outcomes for students with minoritized and marginalized identities. Research on SBLE and school crime does not provide consistent evidence of positive impacts, and many studies find null effects for the relationship between SBLE and school crime or increases in crime and violence in schools. Though funding for SBLE is often prompted by high-profile acts of gun violence in schools, evidence suggests that SBLE neither prevents these incidents, nor lessens the severity when they do occur. Thus, we advocate for removing law enforcement from school settings and redirecting resources into inclusive, evidence-informed responses that are generally safer and more effective than SBLE. We close by outlining the policy landscape governing SBLE programs and ways communities can lobby for change.

School Racial Composition as a Moderator of the Effect of Discrimination on Mental Health and Substance use Among American Indian Adolescents

PURPOSE

To examine the relationships between individual-level perceived racial/ethnic discrimination and mental health and substance use outcomes by school-level racial composition among American Indian (AI) adolescents.

METHOD

Self-reported survey data on individual-level variables come from a sample of AI adolescents (n = 510) living in or near the Cherokee Nation during the fall of 2021. School-level data come from publicly available databases. Multilevel linear and logistic regression analyses were performed to test for and examine the interaction between perceived racial/ethnic discrimination and school racial composition in relation to symptoms of anxiety and depression, past 30-day use of alcohol and marijuana, and misuse of prescription opioids.

RESULTS

Adjusted analyses showed a significant interaction effect between discrimination and racial composition on anxiety symptoms, such that the effect of discrimination was more pronounced at lower % AI (10th percentile) than at more equivalently mixed (50th percentile) or higher % AI (90th percentile) school settings. No significant interactions were observed with depressive symptoms or substance use outcomes.

DISCUSSION

School racial compositions of higher percentage AI may buffer the adverse effect of racial/ethnic discrimination on anxiety symptoms among AI adolescents.

Adolescent alcohol use: use of social network analysis and cross-classified multilevel modeling to examine peer group, school, and neighborhood-level influences

Background: Neighborhood-, school-, and peer-contexts play an important role in adolescent alcohol use behaviors. Methodological advances permit simultaneous modeling of these contexts to understand their relative and joint importance. Few empirical studies include these contexts, and studies that do typically: examine each context separately; include contexts for the sole purpose of accounting for clustering in the data; or do not disaggregate by sex.Objectives: This study takes an eco-epidemiologic approach to examine the role of socio-contextual contributions to variance in adolescent alcohol use. The primary parameters of interest are therefore variance rather than beta parameters (i.e. random rather than fixed effects). Sex-stratified models are also used to understand how each context may matter differently for male and female adolescents.Method: Data come from the National Longitudinal Study of Adolescent to Adult Health (n = 8,534 females, n = 8,102 males). We conduct social network analysis and traditional and cross-classified multilevel models (CCMM) in the full and sex-disaggregated samples.Results: In final CCMM, peer groups, schools, and neighborhoods contributed 10.5%, 10.8%, and 0.4%, respectively, to total variation in adolescent alcohol use. Results do not differ widely by gender.Conclusions: Peer groups and schools emerge as more salient contributing contexts relative to neighborhoods in adolescent alcohol use for males and females. These findings have both methodological and practical implications. Multilevel modeling can model contexts simultaneously to prevent the overestimation of variance in youth alcohol use explained by each context. Primary prevention strategies addressing youth alcohol use should focus on schools and peer networks.

Perceived Neighborhood Safety and Depressive Symptoms: The Role of Perceived Neighborhood Cohesion and Perceived Control

Few have examined mechanisms explaining the link between perceived neighborhood unsafety, neighborhood social processes, and depressive symptoms for Black adolescents. The goal of this study was to examine the role of perceived control as a mechanism linking perceptions of neighborhood unsafety and depressive symptoms, and neighborhood cohesion as a protective factor. Participants were 412 Black adolescents living in a major Mid-Atlantic urban center in the United States (49% female, Mage = 15.80, SD = 0.36). Participants reported perceptions of neighborhood unsafety at grade 10, neighborhood cohesion at grade 10, perceived control at grades 10 and 11 and depressive symptoms in grades 10 and 12. High neighborhood unsafety was associated with low perceived control and in turn high depressive symptoms only when neighborhood cohesion was high. The results highlight the role of neighborhood unsafety and perceived control in the development of depressive symptom and the possible downsides of neighborhood social factors.

Adolescent individual, school, and neighborhood influences on young adult diabetes risk

Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), this study examines the association between adolescent school and neighborhood contexts and the likelihood of diabetes in young adulthood. We apply cross-classified multi-level modeling (CCMM) techniques to examine the simultaneous influence of non-nested school and neighborhood contexts as well as individual, school, and neighborhood-level factors (N = 14,041 participants from 128 schools, 1933 neighborhoods). Our findings suggest that individual-level factors are most associated with young adult diabetes, with small contributions from school and neighborhood factors and a small proportion of the variation explained by school and neighborhood contexts.

Sex-specific effects of neonatal paternal deprivation on microglial cell density in adult California mouse (Peromyscus californicus) dentate gyrus

Adverse early-life experiences are risk factors for psychiatric disease development, resulting in stress-related neuronal modeling and neurobehavioral changes. Stressful experiences modulate the immune system, contributing to neuronal damage in higher cortical regions, like the hippocampus. Moreover, early-life stressors dysregulate the function of microglia, the resident immune cells of the brain, in the developing hippocampus. Paternal deprivation, an early-life stressor in many biparental species, facilitates sex-dependent inhibitions in hippocampal plasticity, but parental contributors to these sex-specific outcomes are unknown. Also, neurobiological mechanisms contributing to impairments in hippocampal neuroplasticity are less known. Thus, our goals were to 1) determine whether parental behavior is altered in maternal females following removal of the paternal male, 2) assess the effects of paternal deprivation on dentate gyrus (DG) volume and microglia proliferation, and 3) determine if early-life experimental handling mitigates sex-specific reductions in DG cell survival. California mice were born to multiparous breeders and reared by both parents (biparental care) or by their mother alone (i.e., father removed on postnatal day 1; paternal deprivation). One cohort of offspring underwent offspring retrieval tests for eight days beginning on postnatal day 2. On PND 68, these offspring (and a second cohort of mice without behavioral testing) were euthanized and brains visualized for bromodeoxyuridine (BrdU) and neuron-specific class III beta-tubulin (TuJ-1) or ionized calcium binding adaptor molecule 1 (Iba1). While mate absence did not impair maternal retrieval, paternal deprivation reduced DG volume, but Iba1+ cell density was only higher in paternally-deprived females. Neither sex or paternal deprivation significantly altered the number of BrdU+ or Tuj1+ cells in the DG - an absence of a reduction in cell survival may be related to daily handing during early offspring retrieval tests. Together, these data suggest that paternal deprivation impairs hippocampal plasticity; however, sex and early environment may influence the magnitude of these outcomes.

Survey implementation process and interviewer effects on skipping sequence of maternal and child health indicators from National Family Health Survey: An application of cross-classified multilevel model

Implementing a large-scale survey involves a string of intricate procedures exposed to numerous types of survey errors. Uniform and systematic training protocols, comprehensive survey manuals, and multilayer supervision during survey implementation help reduce survey errors, providing a consistent fieldwork environment that should not result in any variation in the quality of data collected across interviewers and teams. With this background, the present study attempts to delineate the effect of field investigator (FI) teams and survey implementation design on the selected outcomes. Data on four of the bigger Empowered Action Group (EAG) states of India, namely Uttar Pradesh, Madhya Pradesh, Bihar, and Rajasthan, were obtained from the fourth round of the National Family Health Survey (NFHS-4) for analysis. A fixed-effect binary logistic regression model was used to assess the effect of FI teams and survey implementation design on the selected outcomes. To study the variation in the outcome variables at the interviewer level, a cross-classified multilevel model was used. Since one interviewer had worked in more than one primary sampling unit (PSU) & district and did not follow a perfect hierarchical structure, the cross-classified multilevel model was deemed suitable. In addition, since NFHS-4 used a two-stage stratified sampling design, two-level weights were adjusted for the models to compute unbiased estimates. This study demonstrated the presence of interviewer-level variation in the selected outcomes at both inter- and intra-field agencies across the selected states. The interviewer-level intra-class correlation coefficient (ICC) for women who had not availed antenatal care (ANC) was the highest for eastern Madhya Pradesh (0.23) and central Uttar Pradesh (0.20). For ‘immunisation card not seen’, Rajasthan (0.16) and western Uttar Pradesh (0.13) had higher interviewer-level ICC. Interviewer-level variations were insignificant for women who gave birth at home across all regions of Uttar Pradesh. Eastern Madhya Pradesh, Rajasthan, and Bihar showed higher interviewer-level variation across the selected outcomes, underlining the critical role of agencies and skilled interviewers in different survey implementation designs. The analysis highlights non-uniform adherence to survey protocols, which implies that not all interviewers and agencies performed in a similar manner in the field. This study recommends a refined mechanism for field implementation and supervision, including focused training on the challenges faced by FIs, random vigilance, and morale building. In addition, examining interviewer-level characteristics, field challenges, and field agency effects may also highlight the roots of interviewer-level variation in the data. However, based on the interviewer's performance in the field, the present study offers an intriguing insight into interviewer-level variations in the quality of data.

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With uniform survey implementation strategies, the interviewer should not have any effect in explaining the maternal and child health variables.

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Skipping of selected maternal and child health indicators curtails informativeness of the survey. Results confirms that information on vaccination card, antenatal care, maternal policy information, delivery cost and postnatal checkups have been skipped with negative response to opening questions.

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Cross-classified multilevel model confirms the presence of interviewer-level variation. The interviewer-level intra-class correlation coefficient (ICC) for ‘immunization card not seen’ was found to be highest in Rajasthan and western Uttar Pradesh.

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Interviewer-level variations were found to be not significant for women who gave birth at home across all the regions of Uttar Pradesh whereas the interviewer-level variations for women who had not availed ANC was found to be highest for eastern Madhya Pradesh central Uttar Pradesh. Results emphasizes that not all interviewers and agencies performed in a similar manner in the field.

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The study recommends a refined mechanism for field implementation and supervision, including focused training on challenges faced by field investigators, random vigilance, and morale building.

Residential mobility, neighborhood cohesion, and depressive symptoms among urban-dwelling African American adolescents

Mechanisms linking residential mobility and depressive symptoms among urban-dwelling African American adolescents have received little attention. This study examined neighborhood cohesion as a possible mechanism. Participants were 358 urban-dwelling African American adolescents (Mage  = 14.78; SD = 0.34) who reported their neighborhood cohesion in Grade 10 and depressive symptoms in Grades 9 and 11, and for whom residential address information was available. There was a significant indirect effect of past moves in middle school on depressive symptoms 1 year later through reduced neighborhood cohesion. However, the indirect effect was not significant in a propensity score-matched sample. Results from the full sample of adolescents suggest that neighborhood cohesion may play a role in the experience of depressive symptoms following past moves in middle school. Different findings for the propensity score-matched sample highlight the need for future studies of residential mobility to employ strategies to correct for possible selection bias.

Adolescent Development in Context: A Decade Review of Neighborhood and Activity Space Research

Over the last decade, two lines of inquiry have emerged from earlier investigations of adolescent neighborhood effects. First, researchers began incorporating space-time geography to study adolescent development within activity spaces or routine activity locations and settings. Second, cultural-developmental researchers implicated neighborhood settings in cultural development, to capture neighborhood effects on competencies and processes that are salient or normative for minoritized youth. We review the decade's studies on adolescent externalizing, internalizing, academic achievement, health, and cultural development within neighborhoods and activity spaces. We offer recommendations supporting decompartmentalization of cultural-developmental and activity space scholarship to advance the science of adolescent development in context.

Neighbourhood effects on psychiatric disorders among Finnish adolescents: The moderating impact of family background

We study whether childhood neighbourhood context affects mental health in adolescence in Finland. We also examine heterogeneous effects by family background. By exploiting register data for 1999-2018, we use sibling fixed effects models to gain more robust evidence on the existence of neighbourhood effects. We do not find evidence of an association between neighbourhood characteristics and psychiatric disorders within families. Differences in the effects by family background were not consistent, and variation was mainly found in random effects models. In general, observed family characteristics were strongly associated with psychiatric disorders. This means that interventions should be targeted to children at risk rather than certain neighbourhoods.

Positive University Environment and Agreeableness as Protective Factors Against Antisocial Behavior in Mexican University Students

Violence in schools is a global issue. Approximately 32% of Mexican students have experienced some form of violence in the school setting in their lives. Previous research has tended to focus on the causes of violence and antisocial behaviors in offenders or adolescent samples and has found evidence to suggest the underlying role of environmental and personal factors. The present study investigates the effect of positive school environment and agreeableness as protective factors against antisocial behaviors in a sample of undergraduate and graduate students (n = 304) from northwestern Mexico. Our results demonstrate that a positive school environment has a negative effect on antisocial behaviors via mood and anxiety disorders as well as in interaction with agreeableness, suggesting an interplay between personality and environment. These findings can provide some basis for the development of university programs aimed at fostering positive environments that promote student mental health and protect against antisocial behaviors.

Relating Profiles of Ethnic-Racial Identity Process and Content to the Academic and Psychological Adjustment of Black and Latinx Adolescents

Ethnic-racial identity (i.e., individuals' beliefs about their ethnic-racial group membership and the processes through which they develop those beliefs) is a developmental competency that can promote adolescents' adjustment; however, the extant literature has largely focused on how distinct dimensions of ethnic-racial identity are associated with adjustment (i.e., variable-centered approaches), potentially obscuring a more holistic understanding of this developmental competency. The current study utilized latent profile analysis, a person-centered approach, to examine profiles of ethnic-racial identity among Black (n = 325; M_age = 15.94, SD = 1.14) and Latinx (n = 370; M_age = 16.13, SD = 1.10) adolescents as well as links between profile membership and adjustment. Three ethnic-racial identity profiles emerged: Diffuse & Low Regard (n = 55; lower development, lower self-concept); Diffuse & High Regard (n = 160; lower development, higher self-concept); and Developed & Idealized (n = 477; higher development, higher self-concept). The profile highest in ethnic-racial identity across all indicators reported the highest levels of adjustment. The findings highlight the synergistic benefits of ethnic-racial identity development and positive self-concept for adolescents' psychosocial and academic adjustment.

Concentrated Poverty in U.S. Schools and Adolescents' Risk of Being Overweight

The economic segregation of U.S. schools undermines the academic performance of students, particularly students from low-income families who are often concentrated in high-poverty schools. Yet it also fuels the reproduction of inequality by harming their physical health. Integrating research on school effects with social psychological and ecological theories on how local contexts shape life course outcomes, we examined a conceptual model linking school poverty and adolescent students' weight. Applying multilevel modeling techniques to the first wave of data (1994-1995) from the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 18,924), the results revealed that individual students' likelihood of being overweight increased as the concentration of students from low-income families in their schools increased, net of their own background characteristics. This linkage was connected to a key contextual factor: the exposure of students in high-poverty schools to other overweight students. This exposure may partly matter because of the lower prevalence of dieting norms in such schools, although future research should continue to examine potential mechanisms.

Exploring multilevel social determinants of depressive symptoms for Tanzanian adolescents: evidence from a cross-sectional study

Background

Depression has substantial and enduring impacts for adolescents, particularly those living in poverty. Yet, evidence on its determinants in low-income countries remains scarce. We examined the social determinants of depressive symptoms for Tanzanian adolescents.

Methods

We used cross-sectional data for 2458 adolescents (aged 14–19), to describe associations with depressive symptoms within and across five domains—demographic, economic, neighbourhood, environmental and social-cultural—using linear mixed models. We estimated depressive symptoms using the 10-item Centre for Epidemiological Studies Depression Scale, which ranges from 0 to 30 and increases with additional symptoms.

Results

Factors associated with depressive symptoms in the fully adjusted models included experiencing five or more household economic shocks (β=2.40; 95% CI 1.48 to 3.32), experiencing droughts/floods (β=0.76; 95% CI 0.36 to 1.17), being in a relationship (β=1.82; 95% CI 1.30 to 2.33), and having moderate (β=1.26; 95% CI 0.80 to 1.71) or low (β=2.27; 95% CI 1.81 to 2.74) social support. Exclusive schooling was protective compared with being engaged in both school and paid work (β=1.07; 95% CI 0.05 to 2.61) and not engaged in either (β=0.73; 95% CI 0.24 to 1.22). Household size and relationship status were more important factors for girls, while employment status, and extreme precipitation were more important for boys.

Conclusion

Mental health is associated with determinants from multiple domains. Results suggest that environmental shocks related to climate change contribute to poor mental health in adolescents, highlighting an important area for intervention and research.

Neighbourhood deprivation effects on young people's mental health and well-being: A systematic review of the literature

Since the growth of research into neighbourhood effects on young people's health in the 1980s, there have been major societal changes and scientific methodological advancements. In this systematic review we will, therefore, discuss the recent (>2009) literature on the association between neighbourhood deprivation and young people's (0-19 years old) mental health and well-being. We focus on whether neighbourhood deprivation effects exist, and how and for whom the neighbourhood matters. Together, the thirty studies included in the review indicate that overall there are neighbourhood effects on young people's mental health and well-being. The comparison of results from these studies suggests that such associations were more commonly found for well-being and externalising problem behaviour rather than internalising problem behaviour. Also, mental health and well-being seemed to be more often associated with the neighbourhood social environment than neighbourhood socio-economic status and neighbourhood disorder. Studies investigating mediating processes between the linkage between neighbourhood deprivation and mental health and well-being were rare although there was some evidence that processes within the family and peer context are important mechanisms in this linkage. Inconsistent evidence was found regarding the moderating role of age, gender, and ethnicity. There are ongoing challenges of researching the how and for whom neighbourhoods are important. We should work towards rigorous theory and evidence on how different features of residential contexts matter and on differential exposure and vulnerability to these contexts.

Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices

Recognizing that health outcomes are influenced by and occur within multiple social and physical contexts, researchers have used multilevel modeling techniques for decades to analyze hierarchical or nested data. Cross-Classified Multilevel Models (CCMM) are a statistical technique proposed in the 1990s that extend standard multilevel modeling and enable the simultaneous analysis of non-nested multilevel data. Though use of CCMM in empirical health studies has become increasingly popular, there has not yet been a review summarizing how CCMM are used in the health literature. To address this gap, we performed a scoping review of empirical health studies using CCMM to: (a) evaluate the extent to which this statistical approach has been adopted; (b) assess the rationale and procedures for using CCMM; and (c) provide concrete recommendations for the future use of CCMM. We identified 118 CCMM papers published in English-language literature between 1994 and 2018. Our results reveal a steady growth in empirical health studies using CCMM to address a wide variety of health outcomes in clustered non-hierarchical data. Health researchers use CCMM primarily for five reasons: (1) to statistically account for non-independence in clustered data structures; out of substantive interest in the variance explained by (2) concurrent contexts, (3) contexts over time, and (4) age-period-cohort effects; and (5) to apply CCMM alongside other techniques within a joint model. We conclude by proposing a set of recommendations for use of CCMM with the aim of improved clarity and standardization of reporting in future research using this statistical approach.

Predicting psychosis-spectrum diagnoses in adulthood from social behaviors and neighborhood contexts in childhood

Research showing that risk for schizophrenia, bipolar disorder with psychosis, and other psychosis-spectrum diagnoses in adulthood is multidetermined has underscored the necessity of studying the additive and interactive factors in childhood that precede and predict future disorders. In this study, risk for the development of psychosis-spectrum disorders was examined in a 2-generation, 30-year prospective longitudinal study of 3,905 urban families against a sociocultural backdrop of changing economic and social conditions. Peer nominations of aggression, withdrawal, and likeability and national census information on neighborhood-level socioeconomic disadvantage in childhood, as well as changes in neighborhood socioeconomic conditions over the lifespan, were examined as predictors of diagnoses of schizophrenia, bipolar disorder, and other psychosis-spectrum disorders in adulthood relative to developing only nonpsychotic disorders or no psychiatric disorders. Individuals who were both highly aggressive and highly withdrawn were at greater risk for other psychosis-spectrum diagnoses when they experienced greater neighborhood disadvantage in childhood or worsening neighborhood conditions over maturation. Males who were highly aggressive but low on withdrawal were at greater risk for schizophrenia diagnoses. Childhood neighborhood disadvantage predicted both schizophrenia and bipolar diagnoses, regardless of childhood social behavior. Results provided strong support for multiple-domain models of psychopathology, and suggest that universal preventive interventions and social policies aimed at improving neighborhood conditions may be particularly important for decreasing the prevalence of psychosis-spectrum diagnoses in the future.

The shadow of context: Neighborhood and school socioeconomic disadvantage, perceived social integration, and the mental and behavioral health of adolescents

The number of youths who experience mental distress has been increasing over the past years. Adolescents with mental health problems also show high rates of co-occurring substance-related behaviors such as illicit drug use. This study leverages large-scale and nationally representative Add Health data to evaluate whether the risks conferred by neighborhood and school socioeconomic disadvantages adversely impact adolescents' mental and behavioral health (i.e., depressive symptoms and illicit drug use). We further investigate whether levels of perceived social support from friends, parents, and teachers moderate the associations between contextual disadvantages and adolescents' mental and behavioral outcomes. Results from cross-classified multilevel modeling analysis suggest that neighborhood socioeconomic disadvantages, and to a lesser degree, school socioeconomic disadvantages, uniquely and simultaneously predict mental and behavioral outcomes of adolescents. Although social support is likely to offset the mental and behavioral consequences of disadvantaged social context to all, high levels of social support is most protective for adolescents of least disadvantaged neighborhoods. This study highlights the possibility that structural disadvantage- within both the school and neighborhood contexts-may adversely impact adolescents' mental well-being and increase their risk for illicit drug use.

The role of school race/ethnic composition in mental health outcomes: A systematic literature review

INTRODUCTION

This systematic literature review provides evidence concerning the association of school race/ethnic composition in mental health outcomes among adolescents (ages 11-17 years). A range of mental health outcomes were assessed (e.g., internalizing behaviors, psychotic symptoms) in order to broadly capture the relationship between school context on mental health and psychological wellbeing.

METHODS

A search across six databases from 1990 to 2018 resulted in 13 articles from three countries (United States, United Kingdom, and the Netherlands) that met inclusion criteria following a two step review of titles/abstracts and full-text.

RESULTS

The existing research on school race/ethnic composition and mental health point to two distinct measures of school composition: density-the proportion of one race/ethnic group enrolled in a school, and diversity-an index capturing the range and size of all race/ethnic groups enrolled in a school. Overall, higher same race/ethnic peer density was associated with better mental health for all adolescents. In contrast, there was no overall strong evidence of mental health advantage in schools with increased diversity.

CONCLUSIONS

Theoretical and methodological considerations for future research towards strengthening causal inference, and implications for policies and practices concerning the mental health of adolescent-aged students are discussed.

Context Matters: Adolescent Neighborhood and School Influences on Young Adult Body Mass Index

PURPOSE

Both schools and neighborhoods play important roles in determining adolescent weight status, but little is known about their relative importance, particularly in predicting long-term weight outcomes. We assessed the impacts of both school and neighborhood socioeconomic composition, social connectedness, and built environment during adolescence on weight status in young adulthood.

METHODS

The study sample consisted of 14,625 respondents from Waves I and IV of the National Longitudinal Study of Adolescent to Adult Health. Data were analyzed using cross-classified multilevel modeling to examine the joint effect of adolescents' school and neighborhood predictors on body mass index (BMI) 13 years later.

RESULTS

Living in a neighborhood with lower average parent education during adolescence, and attending a school with lower average parent education, were each associated with higher BMI in young adulthood. Living in a neighborhood with more physical activity resources predicted lower young adult BMI, independent of adolescent weight, parent obesity status, and demographic characteristics. School physical activity resources and perceptions of social connectedness (in the school or neighborhood) were not significantly associated with young adult BMI.

CONCLUSIONS

These findings highlight the importance of school and neighborhood socioeconomic composition during adolescence on young adult weight status. Results also suggest that improving neighborhood infrastructure may promote healthy weight.

Differences in Factors Associated with Depressive Symptoms between Urban and Rural Female Adolescents in Korea

PURPOSE

To examine the prevalence of depressive symptoms and differentiate factors associated with them in urban and rural areas by applying the Ecological Models of Health Behavior.

METHODS

We employed a cross-sectional design and convenience sample of 460 female adolescents. The instruments included the Adolescent Mental-Health Problem-Behavior Questionnaire (AMPQ-II) and the Beck Depression Inventory (BDI).

RESULTS

Depressive symptoms were confirmed in 15.7% of urban adolescents and 22.9% of rural adolescents (p<.05). In the urban group, perception of health and stress associated with school performance were significantly associated with depressive symptoms. In the rural group, academic/internet related problems and rule violations were significantly associated with depressive symptoms (p<.05). General life happiness, worry/anxiety, and mood/suicidal ideation were common factors in both urban and rural areas (p<.05).

CONCLUSION

Multiple factors were associated with depressive symptoms, and those significant factors differed between urban and rural female youths. Accordingly, tailored approaches are required considering urban and rural differences. The approaches should include intrapersonal, interpersonal, and organizational levels of interventions.

Innovative Approaches to Address Social Determinants of Health Among Adolescents and Young Adults

Background: Social determinants are the leading causes of health disparities. Yet health care systems have not systemically addressed social determinants of health as it pertains to adolescents and young adults (AYAs), among other populations in need. This study identified promising innovative programs across the United States.

Methods: Thirteen representatives from 10 programs completed a 45-min telephone interview. Transcripts were reviewed and analyzed to identify cross-cutting themes.

Results: Strategies included increasing access to quality, comprehensive and confidential health services, addressing the holistic needs of AYAs, collaborations across the health care delivery systems and other community services, and leveraging technology.

Conclusion: This study showcased innovative approaches to inform future efforts.

Trajectories of School Recovery After a Natural Disaster: Risk and Protective Factors

Disasters may have significant and lasting impacts on educational programs and academic achievement, yet the examination of differing patterns of school recovery after disasters is understudied. This paper focused on two aims: (i) identification of school academic recovery trajectories; and (ii) examination of potential risk factors associated with these trajectories. We used latent class growth analysis to identify school academic recovery trajectories for a cohort of 462 Texas public schools that were in the path of Hurricane Ike in 2008. Using Texas Assessment of Knowledge and Skills (TAKS) data from 2005 to 2011, we found that attendance and percent of economically disadvantaged youth emerged as significant risk factors for two identified academic recovery trajectories (High‐Stable and Low‐Interrupted). Higher levels of economically disadvantaged youth were associated with lower likelihood of falling in the High‐Stable trajectory, relative to the Low‐Interrupted trajectory. Higher levels of attendance were associated with higher likelihood of membership in the High‐Stable trajectory, relative to the Low‐Interrupted trajectory. These findings are consistent with the notion that disasters do not affect all people or communities equally. Findings highlight the need for policy initiatives that focus on low performing schools, as these schools are at highest risk for adverse outcomes post‐disaster.

The Relative Association of Collective Efficacy in School and Neighborhood Contexts With Adolescent Alcohol Use

Background

It is unclear whether either neighborhood collective efficacy or school collective efficacy is associated with adolescent alcohol use. This study aimed to examine the relative contributions of collective efficacy, both in school and in the neighborhood contexts, to alcohol use among Japanese adolescents.

Methods

A cross-sectional study was conducted in public high schools across Okinawa and Ibaraki Prefectures in Japan in 2016. The study participants consisted of 3,291 students in grades 10 through 12 cross-nested in 51 schools and 107 neighborhoods. Alcohol use was measured as current alcohol drinking, which was defined as self-reported drinking on at least 1 day in the past 30 days. Collective efficacy was measured using scales of social cohesion and informal social control in school and the neighborhood. Contextual-level collective efficacy was measured using aggregated school-level and neighborhood-level individual responses, respectively. We used non-hierarchical multilevel models to fit the cross-nested data.

Results

Significant variation in alcohol use was shown between schools but not between neighborhoods. After adjusting for covariates, school collective efficacy at individual- and contextual-levels was protectively associated with alcohol drinking (odds ratio [OR] for the increase of one standard deviation from the mean 0.72; 95% confidence interval [CI], 0.63–0.82 and OR 0.61; 95% CI, 0.49–0.75, respectively), whereas neighborhood collective efficacy at individual- and contextual-levels was not associated with alcohol consumption.

Conclusion

The school-level associations of collective efficacy with adolescent alcohol use may have the greater impact than the neighborhood-level associations. Adolescent drinking prevention efforts should include enhancing school collective efficacy.

Body weight perception, disordered weight control behaviors, and depressive symptoms among Korean adults: The Korea National Health and Nutrition Examination Survey 2014

BACKGROUND/ PURPOSE

Despite emerging evidence suggesting harmful influences of accurate weight perception on psychological health among individuals with obesity, little is known about the association in Asian populations. The aim of this study was investigate the association between body weight perception and depressive symptoms among Korean adults, and potential differential associations across gender.

METHODS

We used data from the sixth Korea National Health and Nutrition Examination Survey in 2014, comprising 3,318 female (n = 1,876) and male (n = 1,442) participants, aged 19-65 years, with no history of depression and a body-mass index (BMI)> = 18.5kg/m2. Depressive symptoms were measured by the Patient Health Questionnaire-9 Korean version. Weight perception patterns were categorized by comparing self-perceived and objectively measured weight status. Gender-stratified four-level multilevel linear models adjusted for age, BMI, menopause, education, income, marital status, urbanicity, chronic conditions, exercise, smoking, and alcohol use. Subgroup analyses were performed across BMI category.

RESULTS

Among women with obesity, those who underperceived their weight status reported fewer depressive symptoms compared to those who accurately perceived their weight status (β = -1.25, p<0.05). Among women with normal weight, those who overperceived their weight status reported more depressive symptoms compared to those who accurately perceived their weight status (β = 1.00, p<0.05). The same associations were not found in men.

CONCLUSION

Awareness-oriented strategies for obesity prevention and weight management focused on providing information on weight status may need to consider unintended consequences of accurate weight perception on mental health among individuals with obesity, particularly among women.

Does an uneven sample size distribution across settings matter in cross-classified multilevel modeling? Results of a simulation study

BACKGROUND

Recent advances in multilevel modeling allow for modeling non-hierarchical levels (e.g., youth in non-nested schools and neighborhoods) using cross-classified multilevel models (CCMM). Current practice is to cluster samples from one context (e.g., schools) and utilize the observations however they are distributed from the second context (e.g., neighborhoods). However, it is unknown whether an uneven distribution of sample size across these contexts leads to incorrect estimates of random effects in CCMMs.

METHODS

Using the school and neighborhood data structure in Add Health, we examined the effect of neighborhood sample size imbalance on the estimation of variance parameters in models predicting BMI. We differentially assigned students from a given school to neighborhoods within that school's catchment area using three scenarios of (im)balance. 1000 random datasets were simulated for each of five combinations of school- and neighborhood-level variance and imbalance scenarios, for a total of 15,000 simulated data sets. For each simulation, we calculated 95% CIs for the variance parameters to determine whether the true simulated variance fell within the interval.

RESULTS

Across all simulations, the "true" school and neighborhood variance parameters were estimated 93-96% of the time. Only 5% of models failed to capture neighborhood variance; 6% failed to capture school variance.

CONCLUSIONS

These results suggest that there is no systematic bias in the ability of CCMM to capture the true variance parameters regardless of the distribution of students across neighborhoods. Ongoing efforts to use CCMM are warranted and can proceed without concern for the sample imbalance across contexts.

The Cardiometabolic Burden of Self-Perceived Obesity: A Multilevel Analysis of a Nationally Representative Sample of Korean Adults

Emerging evidence has shown that self-perception of overweight/obese status is associated with unfavorable cardiometabolic outcomes, above and beyond actual body weight. Given the lack of research among Asian populations, we examined the association between weight perception and metabolic syndrome (MetS) and cardiometabolic risks among Koreans. Data from the 2010–2015 Korea National Health and Nutrition Examination Survey, including women (N = 12,181) and men (N = 9,448) aged 19–65 years, were analyzed. Weight status perception was measured by participants’ self-evaluation of their body size (“very/slightly obese,” “normal,” and “very/slightly thin”). Overall, 23.2% of women and 28.7% of men had MetS. Our cross-sectional multilevel logistic analyses showed a significant positive association between self-perceived obesity (vs. perceived normal weight) and MetS, independent of BMI and sociodemographic/behavioral/medical conditions, with a stronger association detected among men (OR = 1.38, p < 0.05) than women (OR = 1.22, p < 0.05), confirmed by a statistically significant interaction. Additionally, perceived obesity was associated with high blood pressure (OR = 1.27, p < 0.05) and high triglycerides (OR = 1.38, p < 0.05) among men and low high-density lipoprotein cholesterol (OR = 1.15, p < 0.05) among women. While further prospective research is needed, our findings suggest that perception of being obese may be an unfavorable indicator of cardiometabolic health among Koreans regardless of actual body weight.

Risk factors for disordered weight control behaviors among Korean adolescents: Multilevel analysis of the Korea Youth Risk Behavior Survey

OBJECTIVE

To investigate the prevalence and risk factors for disordered weight control behaviors (DWCB) in South Korean adolescents at multiple levels, including individual, family, school, and geographic area.

METHOD

We drew participants from the 11th Korea Youth Risk Behavior Web-based Survey, conducted in 2015, with 65,529 adolescents (31,687 girls, 33,842 boys) aged 12-18 years. DWCB was defined as engaging in any of the following behaviors for weight control over the past month: fasting, one-food diet (eating only one food over an extended period of time for weight control), vomiting, and taking laxatives/diuretics/unprescribed diet pills. Sex-stratified four-level multilevel logistic models examined potential predictors of DWCB, including age, body-mass index, puberty, perceived household economic status, parental education, living structure, school type and sex-composition, percentage of students participating in school nutrition programs, and urbanicity.

RESULTS

Overall, 6.2% of Korean adolescents (8.9% of girls, 3.7% of boys) exhibited any DWCB. We found significant between-school variation among girls and boys and between-classroom variation among girls. Older age, overweight/obesity, pubertal maturity, high household economic status (vs. mid-range economic status), and vocational schooling (vs. general) were positively associated with DWCB among girls and boys. Low household economic status (vs. mid-range economic status), higher parental education, and coeducational schooling (vs. single-sex) were positively associated with DWCB among girls only.

DISCUSSION

The findings suggest that DWCB are prevalent among Korean adolescents across age, sex, and socioeconomic status. Social contextual factors including school and familial environmental factors, as well as individual characteristics, should be considered when developing effective prevention strategies.

Model-based and design-based inference goals frame how to account for neighborhood clustering in studies of health in overlapping context types

Accounting for non-independence in health research often warrants attention. Particularly, the availability of geographic information systems data has increased the ease with which studies can add measures of the local "neighborhood" even if participant recruitment was through other contexts, such as schools or clinics. We highlight a tension between two perspectives that is often present, but particularly salient when more than one type of potentially health-relevant context is indexed (e.g., both neighborhood and school). On the one hand, a model-based perspective emphasizes the processes producing outcome variation, and observed data are used to make inference about that process. On the other hand, a design-based perspective emphasizes inference to a well-defined finite population, and is commonly invoked by those using complex survey samples or those with responsibility for the health of local residents. These two perspectives have divergent implications when deciding whether clustering must be accounted for analytically and how to select among candidate cluster definitions, though the perspectives are by no means monolithic. There are tensions within each perspective as well as between perspectives. We aim to provide insight into these perspectives and their implications for population health researchers. We focus on the crucial step of deciding which cluster definition or definitions to use at the analysis stage, as this has consequences for all subsequent analytic and interpretational challenges with potentially clustered data.

Contextual Effects of Neighborhoods and Schools on Adolescent and Young Adult Marijuana Use in the United States

Little is known about the unique contribution of schools vs neighborhoods in driving adolescent marijuana use. This study examined the relative contribution of each setting and the influence of school and neighborhood socioeconomic status on use. We performed a series of cross-classified multilevel logistic models predicting past 30-day adolescent (N = 18 329) and young adult (N = 13 908) marijuana use using data from Add Health. Marijuana use differed by age, sex, race/ethnicity, and public assistance in adjusted models. Variance parameters indicated a high degree of clustering by school (σ2 = 0.30) and less pronounced clustering by neighborhood (σ2 = 0.06) in adolescence when accounting for both levels simultaneously in a cross-classified multilevel model. Clustering by school persisted into young adulthood (σ2 = 0.08). Parental receipt of public assistance increased the likelihood of use during adolescence (odds ratio = 1.39; 95% confidence interval: 1.19–1.59), and higher parental education was associated with increased likelihood of use in young adulthood. These findings indicate that both contexts may be promising locations for intervention.

Variation in Physician Spending and Association With Patient Outcomes

IMPORTANCE

While the substantial variation in health care spending across regions and hospitals is well known, key clinical decisions are ultimately made by physicians. However, the degree to which spending varies across physicians and the clinical consequences of that variation are unknown.

OBJECTIVE

To investigate variation in spending across physicians and its association with patient outcomes.

DESIGN, SETTING, AND PARTICIPANTS

For this retrospective data analysis, we analyzed a 20% random sample of Medicare fee-for-service beneficiaries 65 years and older who were hospitalized with a nonelective medical condition and treated by a general internist between January 1, 2011, and December 31, 2014. We first quantified the proportion of variation in Medicare Part B spending attributable to hospitals, physicians, and patients. We then examined the association between physician spending and patient outcomes, adjusted for patient and physician characteristics and hospital fixed effects (effectively comparing physicians within the same hospital). Our primary analysis focused on hospitalist physicians, whose patients are plausibly quasirandomized within a hospital based on physician work schedule. A secondary analysis focused on general internists overall. To ensure that patient illness severity did not directly affect physician spending estimates, we calculated physicians' spending levels in 2011 through 2012 and examined outcomes of their patients in 2013 and 2014.

EXPOSURES

Physicians' adjusted Part B spending level in 2011 through 2012.

MAIN OUTCOMES AND MEASURES

Patients' 30-day mortality and readmission rates in 2013 and 2014.

RESULTS

To determine the amount of variation across physicians we included 485 016 hospitalizations treated by 21 963 physicians at 2837 acute care hospitals for the analysis of hospitalists and 839 512 hospitalizations treated by 50 079 physicians at 3195 acute care hospitals for the analysis of general internists. Variation in spending across physicians within hospital was larger than variation across hospitals (for hospitalists, 8.4% across physicians vs 7.0% across hospitals; for general internists, 10.5% across physicians vs 6.2% across hospitals). Higher physician spending was not associated with lower 30-day mortality (adjusted odds ratio [aOR] for additional $100 in physician spending, 1.00; 95% CI, 0.98-1.01; P = .47) or readmissions (aOR, 1.00; 95% CI, 0.99-1.01; P = .54) for hospitalists within the same hospital. We observed similar patterns among general internists.

CONCLUSIONS AND RELEVANCE

Health care spending varies more across individual physicians than across hospitals. However, higher physician spending is not associated with better outcomes of hospitalized patients. Our findings suggest policies targeting both physicians and hospitals may be more effective in reducing wasteful spending than policies focusing solely on hospitals.

Black and Blue: Depression and African American Men

Depression is a common mental disorder affecting individuals. Although many strides have been made in the area of depression, little is known about depression in special populations, especially African American men. African American men often differ in their presentation of depression and are often misdiagnosed. African American men are at greater risk for depression, but they are less likely to participate in mental health care. This article explores depression in African American by looking at environmental factors, sigma, role, and other unique to this populations, such as John Henryism. Interventions to encourage early screening and participation in care are also discussed.

Households, the omitted level in contextual analysis: disentangling the relative influence of households and districts on the variation of BMI about two decades in Indonesia

Background

Most of the research investigating the effect of social context on individual health outcomes has interpreted context in terms of the residential environment. In these studies, individuals are nested within their neighbourhoods or communities, disregarding the intermediate household level that lies between individuals and their residential environment. Households are an important determinant of health yet they are rarely included at the contextual level in research examining association between body mass index (BMI) and the social determinants of health. In this study, our main aim was to provide a methodological demonstration of multilevel analysis, which disentangles the simultaneous effects of households and districts as well as their associated predictors on BMI over time.

Methods

Using both two- and three-level multilevel analysis, we utilized data from all four cross-sections of the Indonesian Family life Survey (IFLS) 1993 to 2007-8.

Results

We found that: (i) the variation in BMI attributable to districts decreased from 4.3 % in 1993 to 1.5 % in 1997-98, and remained constant until 2007–08, while there was an alarming increase in the variation of BMI attributable to households, from 10 % in 2000 to 15 % in 2007–08; (ii) ignoring the household level did not change the relative variance contribution of districts on BMI, but ignoring the district level resulted in overestimation of household effects, and (iii) households’ characteristics (socioeconomic status, size, and place of residence) did not attenuate the variation of BMI at the household-level.

Conclusions

Estimating the relative importance of multiple social settings allows us to better understand and unpack the variation in clustered or hieratical data in order to make valid and robust inferences. Our findings will help direct investment of limited public health resources to the appropriate context in order to reduce health risk (variation in BMI) and promote population health.

School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey

Background

Growing body of literature has reported that weight status estimation pattern, including accurate-, under-, and overestimation, was associated with weight related behaviors and weight change among adolescents and young adults. However, there have been a few studies investigating the potential role of school contexts in shaping adolescents’ weight status estimation pattern among Korea adolescents.

Objective

The aim of the present study was to investigate the association between weight status misperception patterns and factors at individual-, family-, and school-level, simultaneously, and whether there was significant between schools variation in the distribution of each weight status misperception pattern, underestimation and overestimation respectively, among Korean adolescents aged 12–18 years.

Method

Data from the Eighth Korea Youth Risk Behavior Web-based Survey (KYRBS), 2012, a nationally representative online survey of 72,228 students (boys = 37,229, girls = 34,999) from a total of 797 middle and high schools were used. Sex stratified multilevel random intercept multinomial logistic models where adolescents (level 1) were nested within schools (level 2) were performed.

Results

At the school level, attending a school with higher average BMI (kg/m²) was positively associated with weight status underestimation, and inversely associated with weight status overestimation among boys and girls. Single-sex schooling was positively associated with weight status underestimation among girls. At the family level, higher household income (high/middle versus low) was inversely associated with both weight status under- and overestimation among boys and girls. Higher maternal education (equal to or more than college graduate versus equal to or less than high school graduate) was positively associated with weight status overestimation among boys, and living with both parents (compared to not living with both parents) was inversely associated with weight status underestimation among girls. At the individual level, high academic achievement (compared to low) was positively associated with weight status underestimation among boys and girls.

Conclusions

While further research with prospective designs and objectively measured anthropometric information is needed, school environmental factors such as sex composition and school average BMI, as well as, family contexts such as socioeconomic status need to be considered when developing and implementing obesity prevention programs.