Mental health status and associated contributing factors among the Hakka elderly in Fujian, China

FRONTIERS IN PUBLIC HEALTH(2022)

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摘要
PurposeLittle is known about the mental health of the Hakka elderly. This study explores the status of, and factors associated with mental health among Hakka elderly populations from Fujian, China. MethodsThis is a cross-sectional, community-based survey study containing a total of 1,262 valid samples. The Chinese version Symptom Checklist-90-R (SCL-90-R) was used to assess the mental health status of the Hakka elderly. We used t-tests to compare the differences for 10 dimensions of SCL-90-R scores between the Chinese national norm and the Hakka elderly. Univariate and multivariate analysis were performed by using linear regression analysis to identify the main socio-demographic factors that were most predictive of the total score of SCL-90-R in the Hakka elderly. ResultsThe scores of somatization (1.78 +/- 0.55 vs. 1.40 +/- 0.46, P < 0.001) and phobic anxiety (1.21 +/- 0.36 vs. 1.17 +/- 0.31, P < 0.001) for the Hakka elderly in Fujian appeared to be significantly higher than the Chinese norm. The higher total scores of SCL-90-R were found among females (beta = 0.030, P = 0.044), widowed persons (beta = 0.053, P = 0.021), those with parent(s) alive (beta = 0.047, P = 0.019), and those with poorer self-rated health status (beta = 0.110, P < 0.001). The lower total scores of SCL-90-R were found among those who were currently living in town, those with lower education level, those with higher average annual household incomes, and those who were living with spouse or children. ConclusionThe worse mental health conditions of the Hakka elderly in somatization and phobic anxiety were detected. The overall mental health status was shown to be worse among females, widowed persons, those who were living in village, those with lower education, and those with father or/and mother alive.
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关键词
the Hakka elderly, mental health, socio-demographic determinants, Symptom Checklist-90-R, cross-sectional survey, China
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