Background. Adolescent obesity is a strong predictor of adult obesity, and adult obesity has been associated with depression, especially in women. Studies have also suggested an association between depression in adolescence and higher body mass index (BMI) in adulthood. Whether depression leads to obesity or obesity causes depression is unclear. Objective. To determine in longitudinal analyses whether depressed mood predicts the development and persistence of obesity in adolescents. Methods. A prospective cohort study of 9374 adolescents in grades 7 through 12 who completed in-home interviews for the National Longitudinal Study of Adolescent Health. Assessments were made at baseline (1995) and at follow-up 1 year later. Depressed mood was assessed with the Center for Epidemiologic Studies Depression Scale. BMI (kg/m²) was calculated from self-reported height and weight. BMI percentiles and z scores were computed using the 2000 Centers for Disease Control and Prevention growth charts. Obesity was defined as BMI ≥95th percentile, overweight as BMI ≥85th percentile and <95th percentile, and normal weight as BMI <85th percentile. A parental respondent gave information on household income, parental education, and parental obesity. Results. At baseline, 12.9% were overweight, 9.7% were obese, and 8.8% had depressed mood. Baseline depression was not significantly correlated with baseline obesity. Among the 9.7% who were obese at follow-up, 79.6% were obese at baseline, 18.6% were overweight at baseline, and 1.8% were normal weight at baseline. Having depressed mood at baseline independently predicted obesity at follow-up (odds ratio: 2.05; 95% confidence interval: 1.18, 3.56) after controlling for BMI z score at baseline, age, race, gender, parental obesity, number of parents in the home, and family socioeconomic status. This finding persisted after controlling further for the adolescents’ report of smoking, self-esteem, delinquent behavior (conduct disorder), and physical activity. After controlling for all these same factors, depressed mood at baseline also predicted obesity at follow-up among those not obese at baseline (odds ratio: 2.05; 95% confidence interval: 1.04, 4.06) and follow-up BMI z score among those obese at baseline (β = 0.11; standard error β = 0.05). In contrast, baseline obesity did not predict follow-up depression. Conclusions. Depressed adolescents are at increased risk for the development and persistence of obesity during adolescence. Understanding the shared biological and social determinants linking depressed mood and obesity may inform the prevention and treatment of both disorders.

OBJECTIVE: This study sought to determine whether socioeconomic status (SES) gradients exist among US adolescents for self-rated health and for 5 diseases that cause serious adolescent and continuing adult morbidity. METHODS: Baseline data from 15,483 adolescent and parental surveys from the National Longitudinal Study of Adolescent Health were used. SES indicators included parental education and occupation, and household income. Dependent variables included self-rated health and the presence of depression, obesity, asthma, suicide attempt in the past year, and prior sexually transmitted disease. RESULTS: SES gradients were found for self-rated health, depression, and obesity (P < .01). Suicide attempt was linearly associated with income (P < .01). After adjustment for other SES and sociodemographic factors, education and income remained independent correlates of both depression and obesity; income remained an independent correlate of attempted suicide. CONCLUSIONS: Differences in susceptibility to socially mediated etiologic mechanisms of disease may exist during adolescence. Understanding the sociostructural context and patterning of adolescents' lives is crucial to clearly understanding health and disease etiology throughout the course of life.

Objective To examine whether sexual orientation is an independent risk factor for reported suicide attempts. Design Data were from the Massachusetts 1995 Centers for Disease Control and Prevention Youth Risk Behavior Survey, which included a question on sexual orientation. Ten drug use, 5 sexual behavior, and 5 violence/victimization variables chosen a priori were assessed as possible mediating variables. Hierarchical logistic regression models determined independent predictors of suicide attempts. Setting Public high schools in Massachusetts. Participants Representative, population-based sample of high school students. Three thousand three hundred sixty-five (81%) of 4167 responded to both the suicide attempt and sexual orientation questions. Main Outcome Measure Self-reported suicide attempt in the past year. Results One hundred twenty-nine students (3.8%) self-identified as gay, lesbian, bisexual, or not sure of their sexual orientation (GLBN). Gender, age, race/ethnicity, sexual orientation, and all 20 health-risk behaviors were associated with suicide attempt (P<.001). Gay, lesbian, bisexual, or not sure youth were 3.41 times more likely to report a suicide attempt. Based on hierarchical logistic regression, female gender (odds ratio [OR], 4.43; 95% confidence interval [CI], 3.30-5.93), GLBN orientation (OR, 2.28; 95% CI, 1.39-3.37), Hispanic ethnicity (OR, 2.21; 95% CI, 1.44-3.99), higher levels of violence/victimization (OR, 2.06; 95% CI, 1.80-2.36), and more drug use (OR, 1.31; 95% CI, 1.22-1.41) were independent predictors of suicide attempt (P<.001). Gender-specific analyses for predicting suicide attempts revealed that among males the OR for GLBN orientation increased (OR, 3.74; 95% CI, 1.92-7.28), while among females GLBN orientation was not a significant predictor of suicide. Conclusions Gay, lesbian, bisexual, or not sure youth report a significantly increased frequency of suicide attempts. Sexual orientation has an independent association with suicide attempts for males, while for females the association of sexual orientation with suicidality may be mediated by drug use and violence/victimization behaviors.

Context.: Although several risk factors for tobacco use have been implicated in the development of depression, smoking progression has typically been viewed as a consequence of depression. The results of limited longitudinal studies are controversial. Objective.: To assess the nature and direction of the relationship between cigarette smoking and depression among teens. Design.: Prospective analysis of baseline and 1-year follow-up data from the National Longitudinal Study of Adolescent Health. Setting.: In-home teen and parent interviews. Participants.: Two samples were identified. For the first sample, 8704 adolescents who were not depressed at baseline based on CES-D scores were identified for analyses of the effects of cigarette smoking on development of high depressive symptomatology. Baseline smoking status, which could vary in this group, was the predictor of interest in these analyses. For the second sample, 6947 teens who had not smoked cigarettes in the 30 days before the baseline survey (noncurrent smokers) were identified for analyses on the effect of high depressive symptoms on subsequent moderate to heavy cigarette use at 1 year of follow-up. Baseline high depressive symptomatology based on CES-D score was the predictor of interest in this sample. Main Outcome Measures.: Among the nondepressed, developing high depressive symptoms at 1 year of follow-up. Among noncurrent smokers, smoking at least 1 pack per week at 1 year of follow-up. Results.: For the nondepressed, multivariate modeling revealed that current cigarette smoking was the strongest predictor of developing high depressive symptoms in all models (final model odds ratio [OR]: 3.90; 95% confidence interval [CI]: 1.85,8.20). For noncurrent smokers, although in bivariate analyses, baseline high depressive symptoms increased the risk of heavy smoking nearly threefold, multivariate modeling revealed that baseline high depressive symptoms were not predictive of heavy smoking when controlling for other determinants of smoking in teens. Previous experimentation with smoking was the strongest predictor of becoming a heavy smoker (OR: 3.04; 95% CI: 1.93,4.88). Conclusions.: In contrast to common dictum, depression does not seem to be an antecedent to heavy cigarette use among teens. However, current cigarette use is a powerful determinant of developing high depressive symptoms.

Objectives. We examined the public health impact of the socioeconomic status (SES) gradient on adolescents’ physical and mental health. Methods. Population attributable risk (PAR) for household income and parental education were calculated relative to depression and obesity among a nationally representative sample of 15 112 adolescents. Results. PARs for income and education were large. Across each gender and race/ethnicity group, the PAR for education tended to exceed that for income. For depression, the adjusted PAR for income was 26%, and the PAR for education was 40%; for obesity, the adjusted PAR for income was 32%, and the PAR for education was 39%. Conclusions. SES is associated with a large proportion of the disease burden within the total population.