Psychological distress in adolescence and later economic and health outcomes in the United States...

Nathaniel Counts and colleagues estimate the relationship between adolescent psychological distress and later health and economic outcomes, and use these estimates to determine the potential economic impact of a hypothetical policy.
Anton Stark · 11 days ago · 3 minutes read


Assessing the Impact of Adolescent Psychological Distress on Later Outcomes

Introduction

Adolescent psychological distress has been linked to significant implications for later life outcomes, including employment, income, education, health, and health insurance coverage. This study aims to quantify these relationships and explore the potential impacts of preventive interventions on the federal budget.

Data and Methods

Data was drawn from the National Longitudinal Survey of Youth 1997 (NLSY97), a nationally representative cohort of individuals aged 12 to 18 years at first survey administration in 1997. The study cohort included individuals who were interviewed in round 4 in 2000 and completed the Mental Health Inventory-5 (MHI-5) subscale of psychological distress.

Psychological Distress Measurement

Psychological distress was measured using the three-item subscale of the MHI-5, with scores ranging from 0 to 9, where higher scores indicated less distress. The authors utilized both a binary variable (scores less than or equal to 3 versus greater than 3) and a categorical variable representing different population mean psychological distress scores to facilitate comparisons with prevention and early intervention studies.

Outcome Variables

Five sets of outcome variables were examined: labor supply, income, education, health, and health insurance coverage. Labor supply was measured by labor force participation, weeks worked, and hours worked. Income included self-reported income from working and total financial assets at age 30. Education outcomes included educational attainment (e.g., high school graduation, college degree).

Explanatory Variables

To account for potential confounding, explanatory variables were included from domains such as demographics, neighborhood environment, family resources, and academic skills. These variables were measured at the time of the psychological distress assessment.

Analytic Approach

The authors employed targeted maximum likelihood estimation (TMLE) with machine learning algorithms to estimate the average treatment effect (ATE) of psychological distress on the outcomes of interest. This method allowed for a causal interpretation under certain assumptions, including noninterference, consistency, conditional exchangeability, and positivity.

Results

The results revealed a substantial association between adolescent psychological distress and later outcomes. Those with higher psychological distress levels had significantly lower labor supply, income, and educational attainment. They also experienced higher health risks and lower health insurance coverage.

"Adolescents with low psychological distress were more likely to work, earn higher incomes, and achieve higher levels of education." - Excerpt from the study

Budgetary Implications

Based on the estimated relationships, the authors projected hypothetical policy impacts on the federal budget. A policy that reduced the prevalence of adolescent psychological distress by targeting high-risk youth or implementing broad-scale preventive measures would lead to increased labor supply over a 10-year period. This would subsequently impact federal budget outcomes due to changes in labor-related expenses.

Limitations and Future Directions

The authors acknowledge limitations such as potential unobserved confounding and uncertainty in the estimates. They emphasize the need for further研究 to replicate the findings and explore the cost-effectiveness of preventive interventions.

Conclusion

This study provides valuable insights into the consequences of adolescent psychological distress and underscores the importance of early prevention and intervention programs. By addressing mental health challenges in adolescence, society can potentially improve later outcomes for individuals and reduce budgetary impacts related to economic and health challenges.