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Trajectories of depressive symptoms and adult educational and employment outcomes.

ABSTRACT: BACKGROUND:Depressive symptoms show different trajectories throughout childhood and adolescence that may have different consequences for adult outcomes. AIMS:To examine trajectories of childhood depressive symptoms and their association with education and employment outcomes in early adulthood. METHOD:We estimated latent trajectory classes from participants with repeated measures of self-reported depressive symptoms between 11 and 24 years of age and examined their association with two distal outcomes: university degree and those not in employment, education or training at age 24. RESULTS:Our main analyses (n = 9399) yielded five heterogenous trajectories of depressive symptoms. The largest group found (70.5% of participants) had a stable trajectory of low depressive symptoms (stable-low). The other four groups had symptom profiles that reached full-threshold levels at different developmental stages and for different durations. We identified the following groups: childhood-limited (5.1% of participants) with full-threshold symptoms at ages 11-13; childhood-persistent (3.5%) with full-threshold symptoms at ages 13-24; adolescent onset (9.4%) with full-threshold symptoms at ages 17-19; and early-adult onset (11.6%) with full-threshold symptoms at ages 22-24. Relative to the majority 'stable-low' group, the other four groups all exhibited higher risks of one or both adult outcomes. CONCLUSIONS:Accurate identification of depressive symptom trajectories requires data spanning the period from early adolescence to early adulthood. Consideration of changes in, as well as levels of, depressive symptoms could improve the targeting of preventative interventions in early-to-mid adolescence.

SUBMITTER: Lopez-Lopez JA

PROVIDER: S-EPMC7001468 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Trajectories of depressive symptoms and adult educational and employment outcomes.

López-López José A JA Kwong Alex S F ASF Washbrook Elizabeth E Pearson Rebecca M RM Tilling Kate K Fazel Mina S MS Kidger Judi J Hammerton Gemma G

BJPsych open 20191212 1

<h4>Background</h4>Depressive symptoms show different trajectories throughout childhood and adolescence that may have different consequences for adult outcomes.<h4>Aims</h4>To examine trajectories of childhood depressive symptoms and their association with education and employment outcomes in early adulthood.<h4>Method</h4>We estimated latent trajectory classes from participants with repeated measures of self-reported depressive symptoms between 11 and 24 years of age and examined their associat ...[more]

PMID: 31829293

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Project description:ImportanceConcerns about the mental health of youths going through gender identity transitions have received increased attention. There is a need for empirical evidence to understand how transitions in self-reported gender identity are associated with mental health.ObjectiveTo examine whether and how often youths changed self-reported gender identities in a longitudinal sample of sexual and gender minority (SGM) youths, and whether trajectories of gender identity were associated with depressive symptoms.Design, setting, and participantsThis cohort study used data from 4 waves (every 9 months) of a longitudinal community-based study collected in 2 large cities in the US (1 in the Northeast and 1 in the Southwest) between November 2011 and June 2015. Eligible participants included youths who self-identified as SGM from community-based agencies and college groups for SGM youths. Data analysis occurred from September 2022 to June 2023.ExposureGender identity trajectories and gender identity variability.Main outcomes and measuresThe Beck Depression Inventory for Youth (BDI-Y) assessed depressive symptoms. Gender identity variability was measured as the number of times participants' gender identity changed. Hierarchical linear models investigated gender identity trajectories and whether gender identity variability was associated with depressive symptoms over time.ResultsAmong the 366 SGM youths included in the study (mean [SD] age, 18.61 [1.71] years; 181 [49.4%] assigned male at birth and 185 [50.6%] assigned female at birth), 4 gender identity trajectory groups were identified: (1) cisgender across all waves (274 participants ), (2) transgender or gender diverse (TGD) across all waves (32 participants), (3) initially cisgender but TGD by wave 4 (ie, cisgender to TGD [28 participants]), and (4) initially TGD but cisgender by wave 4 (ie, TGD to cisgender [32 participants]). One in 5 youths (18.3%) reported a different gender identity over a period of approximately 3.5 years; 28 youths varied gender identity more than twice. The cisgender to TGD group reported higher levels of depression compared with the cisgender group at baseline (Β = 4.66; SE = 2.10; P = .03), but there was no statistical difference once exposure to lesbian, gay, bisexual, and transgender violence was taken into account (Β = 3.31; SE = 2.36; P = .16). Gender identity variability was not associated with within-person change in depressive symptoms (Β = 0.23; SE = 0.74; P = .75) or the level of depressive symptoms (Β = 2.43; SE = 2.51; P = .33).ConclusionsThese findings suggest that gender identity can evolve among SGM youths across time and that changes in gender identity are not associated with changes in depressive symptoms. Further longitudinal work should explore gender identity variability and adolescent and adult health.

Project description:We examine to what extent the effect of early-life conditions (health and socioeconomic status) on health in later life is mediated by educational attainment and life-course trajectories (fertility, partnership, employment).Using data from the Survey of Health, Ageing and Retirement in Europe (N = 12,034), we apply, separately by gender, multichannel sequence analysis and cluster analysis to obtain groups of similar family and employment histories. The KHB method is used to disentangle direct and indirect effects of early-life conditions on health.Early-life-conditions indirectly impact on health in later life as result of their influence on education and family and employment trajectories. For example, between 22% and 42% of the effect of low parental socio-economic status at childhood on the three considered health outcomes at older age is explained by educational attainment for women. Even higher percentages are found for men (35% - 57%). On the contrary, the positive effect of poor health at childhood on poor health at older ages is not significantly mediated by education and life-course trajectories. Education captures most of the mediating effect of parental socio-economic status. More specifically, between 66% and 75% of the indirect effect of low parental socio-economic status at childhood on the three considered health outcomes at older age is explained by educational attainment for women. Again, higher percentages are found for men (86% - 93%). Early-life conditions, especially socioeconomic status, influence family and employment trajectories indirectly through their impact on education. We also find a persistent direct impact of early-life conditions on health at older ages.Our findings demonstrate that early-life experiences influence education and life-course trajectories and health in later life, suggesting that public investments in children are expected to produce long lasting effects on people's lives throughout the different phases of their life-course.

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Trajectories of depressive symptoms and adult educational and employment outcomes.

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Trajectories of depressive symptoms and adult educational and employment outcomes.

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