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Health and socioeconomic circumstances over three generations as predictors of youth unemployment trajectories.

ABSTRACT: BACKGROUND:Youth unemployment is a critical life event, which may trigger other labour market-related disadvantages and detrimental health implications. To better understand the processes causing unemployment, we study how socioeconomic circumstances of successive generations and familial and health factors in adolescence predict youth unemployment trajectories between ages 16 and 28 in Finland from 2000 to 2009. METHODS:We used survey data from 1979 to 1997 on 12- to 18-year-old Finns (n = 43 238) linked with 1970-2009 registry-based data of their grandparents, parents and themselves. Growth mixture modelling and multivariate logistic regression analyses were used. RESULTS:Three latent youth unemployment trajectories emerged; low (46%), decreasing (38%) and high (16%) risk groups. Of adolescent factors, low school achievement was the most important predictor of youth unemployment followed by smoking, stress symptoms and poor self-rated health. Grandparents' education predicted their grandchildren's unemployment but the effects of other grandparental socioeconomic circumstances mediated through parents' socioeconomic status (SES). Parents' low SES and education, and long-term unemployment increased the risk of the child's unemployment. Youth unemployment was related to low education at the age of 29. CONCLUSION:Grandparents' education, family socioeconomic circumstances and adolescents' health and school achievement predict the developmental trajectory of youth unemployment. Youth unemployment is also related to low education in early adulthood. Our findings suggest that the health selection of unemployment works already in adolescence.

SUBMITTER: Doku DT

PROVIDER: S-EPMC6532830 | biostudies-other | 2019 Jun

REPOSITORIES: biostudies-other

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Health and socioeconomic circumstances over three generations as predictors of youth unemployment trajectories.

Doku David Teye DT Acacio-Claro Paulyn Jean PJ Koivusilta Leena L Rimpelä Arja A

European journal of public health 20190601 3

<h4>Background</h4>Youth unemployment is a critical life event, which may trigger other labour market-related disadvantages and detrimental health implications. To better understand the processes causing unemployment, we study how socioeconomic circumstances of successive generations and familial and health factors in adolescence predict youth unemployment trajectories between ages 16 and 28 in Finland from 2000 to 2009.<h4>Methods</h4>We used survey data from 1979 to 1997 on 12- to 18-year-old ...[more]

PMID: 30476022

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Project description:PurposeObjectives of this longitudinal study were to examine 3-year trajectories of global perceived quality of life (QOL) for youth with chronic health conditions, as obtained from youth and parent reports, and to identify personal and environmental factors associated with the trajectory groups for each perspective.MethodsYouth with various chronic conditions aged 11-17 years and one of their parents were recruited from eight children's treatment centers. Latent class growth analysis was used to investigate perceived QOL trajectories (separately for youth and parent perspectives) over a 3-year period (four data collection time points spaced 12 months apart). Multinomial logistic regression was employed to identify factors associated with these trajectories.ResultsA total of 439 youth and one of their parents participated at baseline, and 302 (69 %) of those youth/parent dyads completed all four data collection time points. Two QOL trajectories were identified for the youth analysis: 'high and stable' (85.7 %) and 'moderate/low and stable' (14.3 %), while three trajectories were found for the parent analysis: 'high and stable' (35.7 %), 'moderate and stable' (46.6 %), and 'moderate/low and stable' (17.7 %). Relative to the 'high and stable' groups, youth with more reported pain/other physical symptoms, emotional symptoms, and home/community barriers were more likely to be in the 'moderate and stable' or 'moderate/low and stable' groups. Also, youth with higher reported self-determination, spirituality, family social support, family functioning, school productivity/engagement, and school belongingness/safety were less likely to be in the 'moderate and stable' or 'moderate/low and stable' groups, compared to the 'high and stable' groups.ConclusionFindings suggest that youth with chronic conditions experience stable global perceived QOL across time, but that some individuals maintain stability at moderate to moderate/low levels which is related to ongoing personal and environmental influences. Potential benefits of universal strategies and programs to safeguard resilience for all youth and targeted interventions to optimize certain youths' global perceived QOL are indicated.

Project description:Childhood socioeconomic status (cSES) is a powerful predictor of adult health, but its operationalization and measurement varies across studies. Using Health and Retirement Study data (HRS, which is nationally representative of community-residing United States adults aged 50+ years), we specified theoretically-motivated cSES measures, evaluated their reliability and validity, and compared their performance to other cSES indices. HRS respondent data (N = 31,169, interviewed 1992-2010) were used to construct a cSES index reflecting childhood social capital (cSC), childhood financial capital (cFC), and childhood human capital (cHC), using retrospective reports from when the respondent was <16 years (at least 34 years prior). We assessed internal consistency reliability (Cronbach's alpha) for the scales (cSC and cFC), and construct validity, and predictive validity for all measures. Validity was assessed with hypothesized correlates of cSES (educational attainment, measured adult height, self-reported childhood health, childhood learning problems, childhood drug and alcohol problems). We then compared the performance of our validated measures with other indices used in HRS in predicting self-rated health and number of depressive symptoms, measured in 2010. Internal consistency reliability was acceptable (cSC = 0.63, cFC = 0.61). Most measures were associated with hypothesized correlates (for example, the association between educational attainment and cSC was 0.01, p < 0.0001), with the exception that measured height was not associated with cFC (p = 0.19) and childhood drug and alcohol problems (p = 0.41), and childhood learning problems (p = 0.12) were not associated with cHC. Our measures explained slightly more variability in self-rated health (adjusted R2 = 0.07 vs. <0.06) and number of depressive symptoms (adjusted R2 > 0.05 vs. < 0.04) than alternative indices. Our cSES measures use latent variable models to handle item-missingness, thereby increasing the sample size available for analysis compared to complete case approaches (N = 15,345 vs. 8,248). Adopting this type of theoretically motivated operationalization of cSES may strengthen the quality of research on the effects of cSES on health outcomes.

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Health and socioeconomic circumstances over three generations as predictors of youth unemployment trajectories.

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Health and socioeconomic circumstances over three generations as predictors of youth unemployment trajectories.

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