Association between depressive symptoms in adolescence and birth outcomes in early adulthood using a population-based sample

Estimating Transition Probabilities for Modeling Major Depression in Adolescents by Sex and Race or Ethnicity Combinations in the USA

OBJECTIVE

About one-fifth of US adolescents experienced major depressive symptoms, but few studies have examined longitudinal trends of adolescents developing depression or recovering by demographic factors. We estimated new transition probability inputs, and then used them in a simulation model to project the epidemiologic burden and trajectory of depression of diverse adolescents by sex and race or ethnicity combinations.

METHODS

Transition probabilities were first derived using parametric survival analysis of data from the National Longitudinal Study of Adolescent to Adult Health and then calibrated to cross-sectional data from the National Survey on Drug Use and Health. We developed a cohort state-transition model to simulate age-specific depression outcomes of US adolescents. A hypothetical adolescent cohort was modeled from 12-22 years with annual transitions. Model outcomes included proportions of youth experiencing depression, recovery, or depression-free cases and were reported for a US adolescent population by sex, race or ethnicity, and sex and race or ethnicity combinations.

RESULTS

At 22 years of age, approximately 16% of adolescents had depression, 12% were in recovery, and 72% had never developed depression. Depression prevalence peaked around 16-17 years-old. Adolescents of multiracial or other race or ethnicity, White, American Indian or Alaska Native, and Hispanic, Latino, or Spanish descent were more likely to experience depression than other racial or ethnic groups. Depression trajectories generated by the model matched well with historical observational studies by sex and race or ethnicity, except for individuals from American Indian or Alaska Native and multiracial or other race or ethnicity backgrounds.

CONCLUSIONS

This study validated new transition probabilities for future use in decision models evaluating adolescent depression policies or interventions. Different sets of transition parameters by demographic factors (sex and race or ethnicity combinations) were generated to support future health equity research, including distributional cost-effectiveness analysis. Further data disaggregated with respect to race, ethnicity, religion, income, geography, gender identity, sexual orientation, and disability would be helpful to project accurate estimates for historically minoritized communities.

Predictors of change in depressive symptoms over time: Results from the Australian Longitudinal Study on Women's Health

BACKGROUND

Depressive symptoms fluctuate over time, and are most common amongst women in early adulthood. Understanding predictors of changes in depressive symptoms among young women may inform health promotion and early intervention.

METHODS

Data were collected at three-yearly intervals from 2000 (Survey 2) to 2012 (Survey 6) from the Australian Longitudinal Study on Women's Health. The sample comprised 7663 women, aged 22-27 in 2000, who reported any indicator of poor mental health at any wave. Generalised linear mixed models identified predictors of change in depressive symptoms (CESD-10) over each three-year period.

RESULTS

Depressive symptoms reduced over time. In a fully adjusted model, greater reduction in symptoms was predicted by higher initial symptoms, time, higher social support, and higher self-rated general health. Slower reduction was predicted by lower education, difficulty managing on income, high or zero alcohol consumption, stress, and history of childhood sexual assault or partner violence. Motherhood predicted an increase in depressive symptoms at Survey 2 (2000), but a decrease at Survey 5 (2009).

LIMITATIONS

Although sampling was nationally representative, there is a slight bias towards Australian-born and more educated women. Further, although validated measures are used, all data are self-report.

CONCLUSIONS

Fluctuations in depressive symptoms among young women are related to fixed and time-varying factors spanning multiple health and social domains. A range of factors, including education and financial resources, promotion of positive social support systems, and encouragement of health promoting lifestyles, might serve to promote young women's mental health and thus to reduce pressure on clinical services.

Treating a broader range of depressed adolescents with combined therapy

BACKGROUND

Traditional statistical analyses of clinical trials encompass the central tendency of outcomes and, hence, are restricted to a treatment's average effectiveness. Our aim was to get a more complete picture of the effectiveness of standard treatment options for adolescent depression, by analyzing treatment effects across low, middle, and high levels of response.

METHODS

Secondary data analysis was performed of the Treatment for Adolescents with Depression Study (TADS, ClinicalTrials.gov, NCT00006286), a randomized controlled trial comparing fluoxetine (FLX), cognitive-behavioral therapy (CBT), and their combination (COMB) against placebo treating adolescents with major depression (n = 439). The proportional change from baseline to week 12 in the Children's Depression Rating Scale-Revised was used as an index of response. Response levels were analyzed via quantile regression models, thereby estimating treatment effects across the entire response level distribution, adjusted for baseline depression, study site, and patients' treatment expectancies.

RESULTS

Whereas CBT was no more effective than placebo across response levels, COMB was more effective than FLX in that its quantile treatment effects were both larger in magnitude and spread out across a broader range of response levels, including the low end of the response level distribution. Cohen's d of the difference was 1.39 (95% confidence interval 1.33-1.45).

LIMITATIONS

Ad-hoc analysis using data from a trial that was not originally designed to accommodate such analysis.

CONCLUSION

The combination of cognitive-behavioral therapy and fluoxetine was more effective than either treatment used alone, not just in average effectiveness, but in the breadth of patients in whom it was effective.

Abortion and subsequent depressive symptoms: an analysis of the National Longitudinal Study of Adolescent Health

BACKGROUND

Twenty states currently require that women seeking abortion be counseled on possible psychological responses, with six states stressing negative responses. The majority of research finds that women whose unwanted pregnancies end in abortion do not subsequently have adverse mental health outcomes; scant research examines this relationship for young women.

METHODS

Four waves of data from the National Longitudinal Study of Adolescent Health were analyzed. Population-averaged lagged logistic and linear regression models were employed to test the relationship between pregnancy resolution outcome and subsequent depressive symptoms, adjusting for prior depressive symptoms, history of traumatic experiences, and sociodemographic covariates. Depressive symptoms were measured using a nine-item version of the Center for Epidemiologic Studies Depression scale. Analyses were conducted among two subsamples of women whose unwanted first pregnancies were resolved in either abortion or live birth: (1) 856 women with an unwanted first pregnancy between Waves 2 and 3; and (2) 438 women with an unwanted first pregnancy between Waves 3 and 4 (unweighted n's).

RESULTS

In unadjusted and adjusted linear and logistic regression analyses for both subsamples, there was no association between having an abortion after an unwanted first pregnancy and subsequent depressive symptoms. In fully adjusted models, the most recent measure of prior depressive symptoms was consistently associated with subsequent depressive symptoms.

CONCLUSIONS

In a nationally representative, longitudinal dataset, there was no evidence that young women who had abortions were at increased risk of subsequent depressive symptoms compared with those who give birth after an unwanted first pregnancy.

Smoking during pregnancy in the United States, 2005-2014: The role of depression

BACKGROUND

Despite success of public health-oriented tobacco control programs in lowering the smoking prevalence over the past several decades, it is unclear whether similar reductions in smoking have been experienced among pregnant women, especially in vulnerable groups such as those with major depression and/or lower socioeconomic status.

OBJECTIVES

The purpose of this study is to examine the relationship between major depressive episode (MDE) and smoking among pregnant women overall, and by demographics and to estimate changes in the prevalence of cigarette smoking among pregnant women with and without MDE from 2005 to 2014.

STUDY DESIGN

Cigarette use among pregnant women with and without MDE was examined using logistic regression models in the National Survey on Drug Use and Health.

RESULTS

Prenatal smoking is more common among pregnant women with, compared to without, MDE (32.5% vs. 13.0%; (adjusted OR=2.50 (1.85, 3.40)), and greater disparities were revealed when also considering income, education and race. Over time, smoking during pregnancy increased significantly among women with MDE (35.9% to 38.4%; p=0.02)) and showed a decreasing trend among women without MDE (12.5% to 9.1%; p=0.07) from 2005 to 2014.

CONCLUSIONS

Over the past decade, smoking during pregnancy has increased among women experiencing a major depressive episode and is over four times more common among pregnant women with, than without, MDE. Disparities in smoking during pregnancy by MDE status and socioeconomic subgroups appear substantial. Given the multitude of risks associated with both MDE and smoking during the prenatal period, more work targeting this vulnerable and high-risk group is needed.

Association between depression and enterovirus infection: A nationwide population-based cohort study

Enterovirus (EV) infection is common among children and adolescents. Few studies have investigated the relationship of depression after EV infection. This study explores an association between EV infection and subsequent depression in children and adolescents and assesses the risk of depression after EV infection with central nervous system involvement in a nationwide population-based retrospective cohort.A random sample of 1,000,000 people was derived from Taiwan National Health Insurance Research Database and we identified enrollees less than 18 years with EV infection before 2005 and followed up until December 2009. A total 48,010 cases with EV infection and 48,010 healthy controls matched for sex, age, and residence were obtained. Association between EV infection and depression risk was assessed by Cox proportional hazards models to determine the hazard ratios (HRs) and confidence intervals (CIs). We further stratified EV infection into with central nervous system (CNS) involvement and without and compared with matched cohort.Children and adolescents with EV infection had no elevated risk of depression compared with healthy controls (adjusted HR, aHR = 1.00, 95% CI: 0.83-1.21). However, CNS EV infection was associated with increased risk of depression (aHR = 1.62, 95% CI: 1.02-2.58) in the fully adjusted Cox regression model.To the best of our knowledge, this is the first study investigating depression in children and adolescents with CNS EV infection. The results suggested that children and adolescents with CNS EV infection were a susceptible group for subsequent depressive disorders.