Search Results

Methods: Data from 9206 participants collected from 1979 to 2018 in the US National Longitudinal Survey of Youth 1979 cohort were used. Depression was measured using the Center for Epidemiologic Studies Depression Scale Short Form at four time points (age 28-35, age 30-37, age 40, and age 50). Labor force status was measured monthly starting at age 30 until age 58-62. Depressive symptom trajectories were estimated using growth mixture modeling and multistate modeling estimated WLE from age 30-60 for each gender and depressive symptom trajectory.

Results: Five latent symptom trajectories were established: a persistent low symptom trajectory (n = 6838), an episodic trajectory with high symptoms occurring before age 40 (n = 995), an episodic trajectory with high symptoms occurring around age 40 (n = 526), a trajectory with high symptoms occurring around age 50 (n = 570), and a persistent high symptom trajectory (n = 277). The WLE for men at age 30 was 30.3 years for the persistent low symptom trajectory, 22.8 years for the episodic before 40 trajectory, 19.6 years for the episodic around age 40 trajectory, 18.6 years for the episodic around age 50 trajectory, and 13.2 years for the persistent high symptom trajectory. Results were similar for women. WLE disparities between depression trajectories grew when stratified by race/ethnicity and education level.

Conclusions: Roughly a quarter of individuals experienced episodic depressive symptoms. However, despite periods of low depressive symptoms, individuals were expected to be employed ~5-17 years less at age 30 compared to those with low symptoms. Accessible employment and mental health disability support policies and programs across the working life course may be effective in maintaining work attachment and improving WLE among those who experience depression.

Methods: This study used data of 8173 participants from the National Longitudinal Survey of Youth 1997 who were 13-17 years old in 1997. Surveys occurred annually until 2011 then biennially until 2017, when participants were 33-37 years old. The Mental Health Inventory-5 measured mental health at eight survey cycles between 2000 and 2017. Employment earnings were measured annually between 1998 and 2017. Latent parallel trajectories were estimated using latent growth modeling. Multinomial logistic regression explored the association between baseline factors and trajectory membership.

Results: Four parallel latent classes were identified; all showed stable mental health and increasing earnings. Three percent of the sample showed a good mental health, steep increasing earnings trajectory (average 2017 earnings ~ $196,000); 23% followed a good mental health, medium increasing earnings trajectory (average 2017 earnings ~ $78,100); 50% followed a good mental health, low increasing earnings trajectory (average 2017 earnings ~ $39,500); and 24% followed a poor mental, lowest increasing earnings trajectory (average 2017 earnings ~ $32,000). Participants who were younger, women, Black or Hispanic, from lower socioeconomic households, and reported poorer health behaviors had higher odds of belonging to the poor mental health, low earnings class.

Methods: Data were from four cohort studies from the United States collected between 1996 and 2018: National Longitudinal Survey of 1997 (NLSY1997); National Longitudinal Survey of Young Adults (NLSY-YA); Transition to Adulthood Supplement of the Panel Study of Income Dynamics (PSID-TA); and Health and Retirement Study (HRS) with a total n = 6592 individuals and 37,743 person-observations.

Results: None of the 10-year trajectories of health or health behaviors changed for the worse after the change from active to inactive religious attendance. Instead, the adverse trends were observed already during the time of active religious attendance.

Conclusion: These results suggest that religious disengagement is a correlate—not a cause—of a life course characterized by poorer health and health behaviors. The religious decline caused by people leaving their religion is unlikely to influence population health.

Methods: The data were extracted from the US National Longitudinal Survey of Youth (NLSY79) conducted in 1979 on several ethnic groups (African-Americans, Hispanics and Others). These data included paternal socio-economic status (SES) when respondents (N = 8,331) were on average aged 18. The CES-D was re-administered 27 years later to assess the presence of depression.

Results: Adjusted for age, binary logistic regression modeling showed that parental low SES increased the risk of CES-D of scores compatible with depression across ethnic groups for both genders. A gradient was observed of an increased likelihood of depression scores with lower parental SES levels: among African-American respondents, depression scores were highest at the lowest parental SES levels (OR = 3.25, 95% CI 2.19–4.84) and the risk dropped at medium (OR = 3.00, 95% CI 1.96–4.59), and highest SES levels (OR = 1.85, 95% CI 1.12–3.07). An analogous pattern was generally found for each ethnic group.

Conclusions: Low parental SES during adolescence significantly increases the likelihood of CES-D scores compatible with depression during adulthood across US ethnic groups and in both genders.

Method: Using data from the National Longitudinal Surveys of Youth 1979 Children and Young Adults, analysis examined the influence of maternal AUDs on the number and quality of children's ties with siblings, extended family and family friends, peers, and neighborhood members. The analysis also considered how children's social ties influenced the association between maternal AUDs and children's internalizing and externalizing problems.

Results: Children of alcoholic mothers had similarly sized networks but more distant relationships with siblings and friends, negative interactions with classmates, and isolating neighborhoods. Controlling for these aspects of children's social ties substantially reduced mental health disparities between children of alcoholic mothers and other children.