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Township health centers play a cornerstone role in the primary healthcare in China while it's development is largely limited by the brain drain. Job satisfaction is closely related to brain drain, investigating the relevant factors of job satisfaction can provide strategies to reduce brain drain. This research was conducted in Huangpi, China. Convenience sampling methods and self-administereded questionnaires were used. We collected 1370 valid samples, with an effective rate of 97.72%. Descriptive statistics are used to describe sociodemographic information. The Pearson Chi-square statistical was used to test the binary association between job satisfaction and another categorical variable. All the sociodemographic information was applied to the binary logistic regression model using the stepwise selection method. The mean age was 36.98 (SD = 9.84), factors that affect job satisfaction include educational background (x2 = 7.99, p< 0.05), marital status (x2 = 8.96, p< 0.05, monthly income (x2 = 51.43, p< 0.01), hire form (x2 = 7.64, p< 0.05), hours worked per week (x2 = 33.48, p< 0.01), parent had a stable job (x2 = 10.65, p< 0.01). Government and management should consider the impact of current policies on job satisfaction. Increasing the welfare of healthcare staff and promoting equity are potential strategies for improving low levels of job satisfaction. [ABSTRACT FROM AUTHOR]

Few studies have concentrated on the prevalence and related factors of depression and falls among the elderly living in rural communities of Guangzhou. A total of 335 participants aged ≥60 years were recruited by simple random sampling method. A structural equation model was applied to determine interrelationships between depression, falls and other variables. As high as 27.5% and 23.3% participants had reported depressive symptoms and falls, respectively. The path analysis showed the total effect (β = −0.58) of depression on quality of life (QOL) consisted of a direct effect (β = −0.51) and an indirect effect (β = −0.07), which was mediated by family function and number of falls, and the R2 was 0.36. The model fit indices were χ2/df = 1.096, P > 0.05, Root Mean Square Error of Approximation (RMSEA) = 0.017, Tucker–Lewis Index (TLI) = 0.998 and Comparative Fit Index (CFI) = 0.999. Depression and falls were prevalent among the elderly living in rural communities of Guangzhou city. Pay attention to strengthen family function and prevent falls may prevent depression and improve the QOL among the elderly. [ABSTRACT FROM AUTHOR]