Examining the Relation between Caregiver Mental Health and Student Outcomes in Rural China.
Huan WangClaire CousineauYuwei Adeline HuGrace HuSunny QiAdrian SunHelen WuScott RozelleManpreet Kaur SinghPublished in: International journal of environmental research and public health (2021)
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.
Keyphrases
- mental health
- mental illness
- high school
- south africa
- medical students
- palliative care
- cross sectional
- climate change
- healthcare
- medical education
- sleep quality
- public health
- young adults
- adipose tissue
- electronic health record
- quality improvement
- skeletal muscle
- deep learning
- big data
- insulin resistance
- stress induced
- heat stress
- fluorescent probe