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1.
Artigo em Inglês | MEDLINE | ID: mdl-34886336

RESUMO

Research continues to highlight the central relationship between caregivers' mental health and their children's development. This study examined the relation between primary caregivers' mental health and school-aged children's outcomes, including student mental health, resilience, and academic performance, in rural China. Using cross-sectional data from economically poor areas in the Gansu province, 2989 students (mean age = 11.51, 53.33% male, 46.67% female) and their primary caregivers (74.2% female) completed the 21-item, self-report Depression Anxiety Stress Scale. Students also completed the 25-item Connor-Davidson Resilience Scale and a standardized math test. The results indicated a high prevalence of caregiver depression (31%), stress (39%), and anxiety (24%). Characteristics that were significantly correlated with caregiver mental health issues included being a grandparent, having a low socioeconomic status and low education level, and living in a household with at least one migrant worker. Apart from caregiver stress and student resilience, caregiver mental health issues were negatively correlated with all student outcomes, including student mental health, resilience, and academic performance. Although additional empirical research is needed to investigate the associations between caregiver mental health and student outcomes, our results suggest that rural communities could benefit greatly from programs focused on improving the mental health of caregivers and this, in turn, may have a positive impact on student outcomes.


Assuntos
Cuidadores , Saúde Mental , Criança , China/epidemiologia , Estudos Transversais , Feminino , Humanos , Masculino , População Rural , Estudantes
2.
Front Psychiatry ; 12: 636875, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34950062

RESUMO

Background: Perinatal mental health is important for the well-being of the mother and child, so the relatively high prevalence of perinatal mental health problems in developing settings poses a pressing concern. However, most studies in these settings focus on the demographic factors associated with mental health problems, with very few examing social factors. Hence, this study examines the prevalence of the depressive, anxiety and stress symptoms among pregnant women and new mothers in rural China, and the associations between these mental health problems and social factors, including decision-making power, family conflicts, and social support. Methods: Cross-sectional data were collected from 1,027 women in their second trimester of pregnancy to 6 months postpartum in four low-income rural counties in Sichuan Province, China. Women were surveyed on symptoms of mental health problems using the Depression, Anxiety, and Stress Scale (DASS-21) and social risk factors. Multivariate logistic regression analyses were conducted to examine social risk factors associated with maternal mental health problems, with results reported as odds ratios (OR) and 95% confidence intervals (CI). Results: Among all respondents, 13% showed symptoms of depression, 18% showed symptoms of anxiety, 9% showed symptoms of stress, and 23% showed symptoms of any mental health problem. Decision-making power was negatively associated with showing symptoms of depression (OR = 0.71, CI: 0.60-0.83, p < 0.001) and stress (OR = 0.76, CI: 0.63-0.90, p = 0.002). Family conflict was positively associated with depression (OR = 1.53, CI: 1.30-1.81, p < 0.001), anxiety (OR = 1.34, CI: 1.15-1.56, p < 0.001), and stress (OR = 1.68, CI: 1.41-2.00, p < 0.001). In addition, social support was negatively associated with depression (OR = 0.56, CI: 0.46-0.69, p < 0.001), anxiety (OR = 0.76, CI: 0.63-0.91, p = 0.002), and stress (OR = 0.66, CI: 0.53-0.84, p < 0.001). Subgroup analyses revealed that more social risk factors were associated with symptoms of anxiety and stress among new mothers compared to pregnant women. Conclusion: Perinatal mental health problems are relatively prevalent among rural women in China and are strongly associated with social risk factors. Policies and programs should therefore promote individual coping methods, as well as target family and community members to improve the social conditions contributing to mental health problems among rural women.

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