Socioeconomic changes predict genome-wide DNA methylation in childhood.

Childhood socioeconomic position (SEP) is a major determinant of health and well-being across the entire life course. To effectively prevent and reduce health risks related to SEP, it is critical to better understand when and under what circumstances socioeconomic adversity shapes biological processes. DNA methylation (DNAm) is one such mechanism for how early life adversity 'gets under the skin'. In this study, we evaluated the dynamic relationship between SEP and DNAm across childhood using data from 946 mother-child pairs in the Avon Longitudinal Study of Parents and Children. We assessed six SEP indicators spanning financial, occupational and residential domains during very early childhood (ages 0-2), early childhood (ages 3-5) and middle childhood (ages 6-7). Epigenome-wide DNAm was measured at 412 956 cytosine-guanines (CpGs) from peripheral blood at age 7. Using an innovative two-stage structured life-course modeling approach, we tested three life-course hypotheses for how SEP shapes DNAm profiles-accumulation, sensitive period and mobility. We showed that changes in the socioeconomic environment were associated with the greatest differences in DNAm, and that middle childhood may be a potential sensitive period when socioeconomic instability is especially important in shaping DNAm. Top SEP-related DNAm CpGs were overrepresented in genes involved in pathways important for neural development, immune function and metabolic processes. Our findings highlight the importance of socioeconomic stability during childhood and if replicated, may emphasize the need for public programs to help children and families experiencing socioeconomic instability and other forms of socioeconomic adversity.

Associations between indicators of socioeconomic position and DNA methylation: a scoping review.

BACKGROUND: Socioeconomic position (SEP) is a major determinant of health across the life course. Yet, little is known about the biological mechanisms explaining this relationship. One possibility widely pursued in the scientific literature is that SEP becomes biologically embedded through epigenetic processes such as DNA methylation (DNAm), wherein the socioeconomic environment causes no alteration in the DNA sequence but modifies gene activity in ways that shape health. METHODS: To understand the evidence supporting a potential SEP-DNAm link, we performed a scoping review of published empirical findings on the association between SEP assessed from prenatal development to adulthood and DNAm measured across the life course, with an emphasis on exploring how the developmental timing, duration, and type of SEP exposure influenced DNAm. RESULTS: Across the 37 identified studies, we found that: (1) SEP-related DNAm signatures varied across the timing, duration, and type of SEP indicator; (2) however, longitudinal studies examining repeated SEP and DNAm measures are generally lacking; and (3) prior studies are conceptually and methodologically diverse, limiting the interpretability of findings across studies with respect to these three SEP features. CONCLUSIONS: Given the complex relationship between SEP and DNAm across the lifespan, these findings underscore the importance of analyzing SEP features, including timing, duration, and type. To guide future research, we highlight additional research gaps and propose four recommendations to further unravel the relationship between SEP and DNAm.

Survival of children and young adults with skin cancer: Analysis of a population-based Florida cancer registry: 1981-2013.

BACKGROUND/OBJECTIVES: Although pediatric and young adult skin cancer is uncommon, recent epidemiologic studies have shown pediatric melanoma to be on the rise in the United States. Using a population-based cancer registry, this study examined skin cancer burden and survival disparities in children and young adults. METHODS: Linked data from the Florida Cancer Data System and U.S. Census were analyzed to elucidate skin cancer burden distribution and survival disparities in 1543 Florida children (0-9 years), adolescents (10-19 years), and young adults (20-24 years). These disparities were assessed according to sociodemographic groups such as sex, race, ethnicity, and neighborhood level socioeconomic status. A multivariable Cox regression model adjusted for sociodemographic, clinical, and tumor characteristics was used to predict survival. RESULTS: Boys had a slightly greater burden of skin cancer among children (50.9%), whereas girls had the greatest burden for adolescents (54.5%) and young adults (60%). Survival differed between white, black, and other races; 1-year survival was 91.5% for whites and 77.9% for blacks. Average 3- and 5-year survival was comparable for blacks and whites. "Other" race had a 1- and 3-year survival of 96.2%. CONCLUSION: Because skin cancer is on the rise, it is important to elucidate the burden and determinants associated with survival outcomes to identify high-risk pediatric and young adult populations. Understanding these factors in the Florida pediatric population may provide a base for future endeavors to create culturally competent cancer prevention programs through screening, health promotion, and literacy.

Income inequality within urban settings and depressive symptoms among adolescents.

BACKGROUND: Although recent evidence has shown that area-level income inequality is related to increased risk for depression among adults, few studies have tested this association among adolescents. METHODS: We analysed the cross-sectional data from a sample of 1878 adolescents living in 38 neighbourhoods participating in the 2008 Boston Youth Survey. Using multilevel linear regression modelling, we: (1) estimated the association between neighbourhood income inequality and depressive symptoms, (2) tested for cross-level interactions between sex and neighbourhood income inequality and (3) examined neighbourhood social cohesion as a mediator of the relationship between income inequality and depressive symptoms. RESULTS: The association between neighbourhood income inequality and depressive symptoms varied significantly by sex, with girls in higher income inequality neighbourhood reporting higher depressive symptom scores, but not boys. Among girls, a unit increase in Gini Z-score was associated with more depressive symptoms (ß=0.38, 95% CI 0.28 to 0.47, p=0.01) adjusting for nativity, neighbourhood income, social cohesion, crime and social disorder. There was no evidence that the association between income inequality and depressive symptoms was due to neighbourhood-level differences in social cohesion. CONCLUSIONS: The distribution of incomes within an urban area adversely affects adolescent girls' mental health; future work is needed to understand why, as well as to examine in greater depth the potential consequences of inequality for males, which may have been difficult to detect here.

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

OBJECTIVES: Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents. METHODS: Analyzing data from wave 1 (1994-1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to examine between-level variation and individual-, school-, and neighborhood-level predictors of adolescent depressive symptoms. Also, we compared the results of our cross-classified multilevel models (CCMMs) with those of a multilevel model wherein either school or neighborhood was excluded. RESULTS: In CCMMs, the school-level random effect was significant and more than 3 times the neighborhood-level random effect, even after individual-level characteristics had been taken into account. Individual-level indicators (e.g., race/ethnicity, socioeconomic status) were associated with depressive symptoms, but there was no association with either school- or neighborhood-level fixed effects. The between-level variance in depressive symptoms was driven largely by schools as opposed to neighborhoods. CONCLUSIONS: Schools appear to be more salient than neighborhoods in explaining variation in depressive symptoms. Future work incorporating cross-classified multilevel modeling is needed to understand the relative effects of schools and neighborhoods.

Mental health service use among high school students exposed to interpersonal violence.

BACKGROUND: Violence-exposed youth rarely receive mental health services, even though exposure increases risk for academic and psychosocial problems. This study examines the association between violence exposure and mental health service contact. The 4 forms of violence exposure were peer, family, sexual, and witnessing. METHODS: Data are from 1534 Boston public high school students who participated in a 2008 self-report survey of violence exposure and its correlates. Multivariate logistic regressions estimated associations between each form of violence with service contact, then examined whether associations persisted when controlling for suicidality and self-injurious behaviors. RESULTS: In unadjusted models, violence-exposed students more often reported service contact than their peers. However, in multivariate models, only exposure to family (odds ratio [OR] = 1.69, 95% confidence interval [CI] = 1.23-2.31) and sexual violence (OR = 2.34, 95% CI = 1.29-4.20) were associated with service contact. Associations attenuated when controlling for suicidality and self-injurious behaviors, indicating they were largely explained by self-harm. Sexual violence alone remained associated with mental health service contact in fully adjusted models, but only for girls (OR=3.32, 95% CI=1.30-8.45), suggesting sex-specific pathways. CONCLUSIONS: Associations between adolescent violence exposure and mental health service contact vary by forms of exposure. Outreach to a broader set of exposed youth may reduce the impact of violence and its consequences for vulnerable students.

Childhood adversity and cell-mediated immunity in young adulthood: does type and timing matter?

Childhood adversity can have powerful effects on health over the life course. Persistent changes in cell-mediated immune function may be one pathway linking adverse childhood experiences with later disease risk. However, limited research has examined childhood adversity in relation to cell-mediated immune function, and in particular, immune response to latent viruses in adulthood. The present study investigated the association of two types of childhood adversity, socioeconomic disadvantage during adolescence and abuse prior to age 18, with Epstein-Barr Virus (EBV) antibody titers in a large nationally representative sample of young adults aged 24-32years. Data were drawn from the National Longitudinal Study on Adolescent Health, Wave 4 (n=13,162). We examined the associations of three indicators of adolescent SES (parental education, household income, and occupational status) and frequency and timing of physical and sexual abuse with EBV antibodies, controlling for age, sex, race/ethnicity, and presence of a smoker in the household during adolescence. Lower parental occupational status and some categories of lower education were associated with elevated EBV antibodies (p<.05), and individuals who reported sexual abuse that occurred more than 10times had elevated EBV antibodies relative to individuals who were not sexually abused (p=0.03). Among individuals exposed to physical abuse, those who were first abused at age 3-5years had heightened EBV antibodies relative to those first abused during adolescence (p=0.004). This study extends prior research linking early adversity and immune function, and provides initial evidence that childhood adversity has a persistent influence on immune responses to latent infection in adulthood.

The Modified Depression Scale (MDS): A Brief, No-Cost Assessment Tool to Estimate the Level of Depressive Symptoms in Students and Schools.

Adolescent health researchers and practitioners are frequently interested in assessing depression as part of student screening and for school-wide prevention and intervention planning. However, this task is challenging given the lack of free, brief assessments of depressive symptoms in youth. This study evaluated the psychometric properties of an adapted version of the Modified Depression Scale (MDS). Data came from a school-based survey of 9th-12th graders in Boston (N=1,657). We assessed internal consistency reliability and known-groups validity, in addition to the feasibility of establishing a dichotomous cut-point to classify adolescents as having high versus low depressive symptoms. We also evaluated the validity of the adapted MDS as a school-wide measure. At the student-level, the adapted MDS demonstrated acceptable internal consistency. Students engaging in risk behaviors (e.g., substance use) or who were victimized (e.g., bullied) had significantly higher depressive symptom scores. Students who endorsed four or five MDS symptoms often or always had a heightened risk of suicidal ideation, substance use, and failing grades when compared to students who endorsed three or fewer symptoms often or always. At the school-level, higher mean levels of depressive symptoms in a school were associated with higher mean levels of suicidal ideation and failing grades. Results of this study suggest that the adapted MDS is a promising measurement tool that could be useful to school-based professionals and researchers to evaluate depressive symptoms in adolescents and ascertain the prevalence of depressive symptoms in schools.