The Influence of Family Socioeconomic Status on Adolescents’ Mental Health in China

Yang, Dongliang; Hu, Shuxian; Li, Mingna

doi:10.3390/ijerph19137824

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…This asserts the influence of socioeconomic status on mental health extends beyond individual experiences to encompass other pressures caused by the COVID-19 pandemic. These findings receive support from previous literature where an individual with low socioeconomic status-including those who live under conditions of socioeconomic inequality-may lack positive interpersonal relationships and personal internal resources, which further exacerbates disparities in mental health, hence contributing to lower levels of mental health (León-Giraldo et al, 2021;Macintyre et al, 2018;D. Yang et al, 2022).…”

Section: Discussionsupporting

confidence: 82%

The Effect of the Covid-19 Pandemic on Mental Health: Quasi-Experimental Evidence from Indonesia

Sahadewo,

Hendra Permana,

et al. 2024

J. Indones. econ. bus. (Online)

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Introduction/Main Objectives: This research aims to explore and analyze the effect of the COVID-19 pandemic on mental health status as measured by DASS-21. Background Problems: The prolonged impact of the COVID-19 pandemic on the global economy may have adversely affected mental health. A decrease in income and consumption and the uncertainties surrounding job security and business performance have been some of the main factors contributing to mental health issues. Novelty: This paper aims to evaluate the effect of the COVID-19 pandemic—as a natural experiment—on mental health measured by DASS-21 and how the effect of the pandemic varied across different socioeconomic subgroups. Research Methods: We conducted an online survey across Indonesia to collect self-reported mental health status and socioeconomic characteristics before and during the COVID-19 pandemic to measure its impacts on mental health. Finding/Results: Our results suggest that the COVID-19 pandemic has had an adverse impact on mental health, particularly in terms of anxiety and stress. The effect has been higher among individuals with lower self-efficacy, lower expenditure, and lower education levels. Conclusion: The health and economic crisis driven by the COVID-19 pandemic affected individuals' mental health, suggesting the need for appropriate policy responses.

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Section: Discussionsupporting

confidence: 82%

The Effect of the Covid-19 Pandemic on Mental Health: Quasi-Experimental Evidence from Indonesia

Sahadewo,

Hendra Permana,

et al. 2024

J. Indones. econ. bus. (Online)

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“…The results showed that the level of psychological resilience in D/HH students from family with annual income 120000 RMB or above was nearly 11-point higher than those with 30000 RMB or below, indicating a disparity between different levels of socioeconomic status in terms of mental health outcomes, which was consistent with previous ndings in typical adolescents and young people in China [23], Netherland [24] and Brazil [25]. However, residence became a non-signi cant factor in the multivariate model.…”

Section: Family and Social Environmental Factorssupporting

confidence: 90%

Psychological resilience in deaf or hard-of-hearing students and associated factors: a cross-sectional study

Xu,

Huang,

Liu

et al. 2024

Preprint

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Aim Mental health in deaf and hard-of-hearing (D/HH) students is a severe issue. The level of psychological resilience would buffer the negative effect of mental illness. We aimed to examine the current situation of psychological resilience in D/HH students and identify the associated factors in China. Design A cross-sectional study. Methods Using multi-stage sampling, we conveniently selected two special education colleges tailored for D/HH students and randomly selected three classrooms from each grade in each college with clustering sampling. Psychological resilience was measured by the Connor - Davidson Resilience Scale. Univariate and multivariate linear regression models were applied to identify multiple levels of associated factors including individual, family, peer and social environmental factors. Results D/HH students had a middle level of psychological resilience. The results in multivariate linear regression model showed that D/HH students with leadership experience, acquired deafness, very good lip-reading ability, family annual income 120000 RMB or above, more D/HH friends or both D/HH and hearing friends, more social support demonstrated better psychological resilience. Conclusions Our study has important implications for disability nursing. The findings would inform practice and policy to identify the D/HH students who are at greater risk and develop effective intervention strategies to improve the psychological resilience and mental health in this marginal population. Patient or Public Contribution There is no patient or public contribution.

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“…This positive trend might be attributed to the rapid socioeconomic development in China with large investment in mental health education and support for children and adolescents [56–58]. Other factors might include changes in parenting styles and family values, increased mental health awareness and resources, advances in research and the development of intervention strategies, all of which could contribute to a gradual narrowing of the mental health differences between one-child and multichild families [58,59,60 ▪▪ ].…”

Section: Discussionmentioning

confidence: 99%

Mental health status among children and adolescents in one-child and multichild families: a meta-analysis of comparative studies

Chen,

Rao,

Zhang

et al. 2024

Current Opinion in Psychiatry

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Purpose of review Controversy remains about the difference in mental health status among children and adolescents between one-child and multichild families in China. Thus, we conducted a meta-analysis of studies comparing mental health status between both groups and explored their potential moderating factors. Recent findings Totally, 113 eligible studies encompassing 237 899 participants (one-child families: 83 125; multichild families: 154 774) were included. The pooled SMD of SCL-90 total score was −0.115 [95% confidence interval (95% CI): −0.152; −0.078; I 2 = 86.9%]. Specifically, children and adolescents from one-child families exhibited lower scores in terms of somatization (SMD = −0.056; 95% CI: −0.087; −0.026), obsessive-compulsive symptoms (SMD = −0.116; 95% CI: −0.154; −0.079), interpersonal sensitivity (SMD = −0.140; 95% CI: −0.171; −0.109), depression (SMD = −0.123; 95% CI: −0.159; −0.088); anxiety (SMD = −0.121; 95% CI: −0.151; −0.092); phobic anxiety (SMD = −0.124; 95% CI: −0.166; −0.081); paranoid ideation (SMD = −0.040; 95% CI: −0.070; −0.009); and psychoticism (SMD = −0.119; 95% CI: −0.148; −0.089). Study publication year was significantly associated with differences in mental health status between both groups (P = 0.015). Summary Children and adolescents from one-child families had better mental health status compared to those from multichild families in China. Future studies should investigate the underlying factors contributing to such mental health differences, and the potential interventions that could address these mental health problems.

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The Influence of Family Socioeconomic Status on Adolescents’ Mental Health in China

Cited by 14 publications

References 20 publications

The Effect of the Covid-19 Pandemic on Mental Health: Quasi-Experimental Evidence from Indonesia

The Effect of the Covid-19 Pandemic on Mental Health: Quasi-Experimental Evidence from Indonesia

Psychological resilience in deaf or hard-of-hearing students and associated factors: a cross-sectional study

Mental health status among children and adolescents in one-child and multichild families: a meta-analysis of comparative studies

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