Adolescent Socioeconomic Status and Parent-Child Emotional Bonds: Reexamining Gender Differences in Mental Well-being during Young Adulthood

2018 ◽  
Vol 9 (1) ◽  
pp. 95-110 ◽  
Author(s):  
Renae Wilkinson ◽  
Matthew A. Andersson

Links between elevated mental well-being in adulthood and higher social and economic resources growing up are well established. However, the role of gender remains unclear, especially whether gender influences how social and economic resources interact to produce disparities in mental well-being across young adulthood. Drawing on nationally representative longitudinal data, we illuminate gender differences in mental well-being, finding that young adult mental health advantages based in adolescent socioeconomic status pivot on parent-child emotional bonds for young men only. That is, for young adult men, lessened depressive symptom frequency linked to higher parental education only appears when perceived parent-child bonds are at least moderately close. This holds even after adjusting for earlier adolescent mental well-being, suggesting a stable mechanism across the transition to adulthood. Overall, our results uphold the argument that familial social and economic resources predict mental well-being during young adulthood while revealing that relevant mechanisms may differ by gender.

2015 ◽  
Vol 43 (3) ◽  
pp. 269-275 ◽  
Author(s):  
Sunna Gestsdottir ◽  
Arsaell Arnarsson ◽  
Kristjan Magnusson ◽  
Sigurbjorn Arni Arngrimsson ◽  
Thorarinn Sveinsson ◽  
...  

2020 ◽  
Vol 12 (22) ◽  
pp. 9597
Author(s):  
Gabriella Nagy-Pénzes ◽  
Ferenc Vincze ◽  
Éva Bíró

Mental disorders are common in adolescents, and for effective interventions we should be aware of their determinants. However, there are only a small number of studies investigating the combined effect of multiple factors. Therefore, our aim is to assess the impact of socioeconomic status, social support, and health behavior on adolescents’ mental well-being. A cross-sectional health survey of 1641 children was carried out in accordance with the study protocol of the Hungarian Health Behavior in School-aged Children survey. Multivariate multiple regression was used to analyze the main determinants of mental well-being. The boys’ mental well-being was favorable compared to girls; lower subjective family wealth was associated with lower life satisfaction and depressive mood. Life satisfaction was positively related to healthy eating, social support, and physical activity. Unhealthy eating, sedentary lifestyle, and lower social support were associated with higher depression scores. Higher social support reduces psychosomatic symptoms, while unhealthy eating and spending a lot of time in front of the computer increase them. Both social support and healthy lifestyle seem to be protective against mental health problems among adolescents, and thus interventions should focus on these factors regardless of the socioeconomic status of the participants, with special attention given to girls.


BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e027217 ◽  
Author(s):  
Jessica Bengtsson ◽  
Nadya Dich ◽  
Andreas Rieckmann ◽  
Naja Hulvej Rod

PurposeThe DANish LIFE course (DANLIFE) cohort is a prospective register-based study set up to investigate the complex life course mechanisms linking childhood adversities to health and well-being in childhood, adolescence and young adulthood including cumulative and synergistic actions and potentially sensitive periods in relation to health outcomes.ParticipantsAll children born in Denmark in 1980 or thereafter have successively been included in the cohort totalling more than 2.2 million children. To date, the study population has been followed annually in the nationwide Danish registers for an average of 16.8 years with full data coverage in the entire follow-up period. The information is currently updated until 2015.Findings to dateDANLIFE provides information on a wide range of family-related childhood adversities (eg, parental separation, death of a parent or sibling, economic disadvantage) with important psychosocial implications for health and well-being in childhood, adolescence and young adulthood. Measurement of covariates indicating demographic (eg, age, sex), social (eg, parental education) and health-related factors (eg, birth weight) has also been included from the nationwide registers. In this cohort profile, we provide an overview of the childhood adversities and covariates included in DANLIFE. We also demonstrate that there is a clear social gradient in the exposure to childhood adversities confirming clustering of adverse experiences within individuals.Future plansDANLIFE provides a valuable platform for research into early life adversity and opens unique possibilities for testing new research ideas on how childhood adversities affect health across the life course.


2017 ◽  
Vol 11 ◽  
pp. 117822181771141 ◽  
Author(s):  
Carly E Milliren ◽  
Tracy K Richmond ◽  
Clare R Evans ◽  
Erin C Dunn ◽  
Renee M Johnson

Little is known about the unique contribution of schools vs neighborhoods in driving adolescent marijuana use. This study examined the relative contribution of each setting and the influence of school and neighborhood socioeconomic status on use. We performed a series of cross-classified multilevel logistic models predicting past 30-day adolescent (N = 18 329) and young adult (N = 13 908) marijuana use using data from Add Health. Marijuana use differed by age, sex, race/ethnicity, and public assistance in adjusted models. Variance parameters indicated a high degree of clustering by school (σ2 = 0.30) and less pronounced clustering by neighborhood (σ2 = 0.06) in adolescence when accounting for both levels simultaneously in a cross-classified multilevel model. Clustering by school persisted into young adulthood (σ2 = 0.08). Parental receipt of public assistance increased the likelihood of use during adolescence (odds ratio = 1.39; 95% confidence interval: 1.19-1.59), and higher parental education was associated with increased likelihood of use in young adulthood. These findings indicate that both contexts may be promising locations for intervention.


2021 ◽  
Author(s):  
Julia Moeller ◽  
Luise von Keyserlingk ◽  
Marion Spengler ◽  
Hanna Gaspard ◽  
Hye Rin Lee ◽  
...  

Colleges and universities have increasingly worried in recent decades about college students’ wellbeing, with the COVID-19 pandemic aggravating these concerns. Our study provides empirical evidence of changes to undergraduate emotional sentiments and psychological wellbeing from before to after the onset of the pandemic. In addition, we explore whether certain risk factors (i.e., prior mental health impairments, trait emotional stability) and protective factors (i.e., subjective socioeconomic status, parental education, household resources) predicted students’ emotions and their intra-individual changes due to the pandemic onset. We compared experience sampling method data from 120 students from before and after the pandemic onset, examining intra-individual trajectories.There was only little change in students’ emotions. Prior mental health impairment and trait emotional stability predicted students’ emotions, averaged across time points, but not emotion changes. Few associations with emotions were found for subjective socioeconomic status and parental education, but study-related household-resources predicted levels and changes in emotions.


2017 ◽  
Vol 13 (26) ◽  
pp. 331
Author(s):  
Galy Mohamadou

Socioeconomic status (SES) is one of the most widely studied constructs in the social sciences. Several ways of measuring SES have been proposed, but most include some quantification of family income, parental education, and occupational status. Research shows that SES is associated with a wide array of health, cognitive, and socioemotional outcomes in children, with effects beginning prior to birth and continuing into adulthood. A variety of mechanisms linking SES to child well-being have been proposed, with most involving differences in access to material and social resources or reactions to stress-inducing conditions by both the children themselves and their parents. For children, SES impacts well-being at multiple levels, including both family and neighborhood. Its effects are moderated by children’s own characteristics, family characteristics, and external support systems.


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