[Related factors and equity of health status among floating population in China based on geographic information system analysis].

OBJECTIVE: To understand the health status, influencing factors and spatial distribution of the Chinese floating population and to evaluate the health equity of the floating population. METHODS: All the data were collected from the 2017 Migrant Population Dynamic Monitoring Survey in China, binary Logistic regression was used to analyze the factors that might affect the health of the floating population, and the concentration index method was used to evaluate the health equity of the floating population. Spatial autocorrelation analyses the spatial aggregation of health status and health equity. RESULTS: The unhealthy rate of the floating population in China was 2.71%. Age and gender show a statistically significant impact on self-rated health; that is, as age increases, the self-rated health of the migrant population gradually deteriorates, and women are more likely to think that they are unhealthy. Fairness analysis shows that the concentration index of the floating population is 0.021 7, the urban household registration floating population is 0.021 6, and the rural household registration floating population is 0.021 9. It is shown that the fairness of the health status of the floating population is biased towards the high-income class, and the rural household registration floating population' s health unfairness is greater than that of the urban household registration migration population. Moreover, Moran' s i=0.211 for self-rated health and Moran' s i=0.291 for the unhealthy rate indicate that self-rated health has a spatial aggregation trend. Moran' s i=0.136 showed the characteristics of spatial clustering, and the two-week prevalence fairness of the floating population was mainly in the northern and southeastern coastal areas. CONCLUSION: In general, the health status of the floating population in China is relatively good. The main influencing factors of health included gender and age. The central tendency of health inequity is reflected in the southeast coastal and northern regions, which are characterized by poverty. Attention to spatial aggregation is not only helpful to analyze the reasons of floating population, but also to study the health differences between different regions and health-related factors, to improve the overall health level of the whole population.

Do living arrangements and health behaviors associate with anxiety symptoms among Chinese older people? Differences between urban and rural areas.

Living arrangements and health behaviors are considered to be associated with mental health, but their relationship has been less investigated by national survey data in China. The purpose of this study is to explore the relationship of living arrangements and health behaviors with anxiety among Chinese older people and to compare the results between urban and rural areas. The study was based on the Chinese Longitudinal Healthy Longevity Survey conducted in 2018, and a total of 12 726 old-aged respondents were included. Ordinal logistic regression was used to analyze the associations between living arrangements, health behaviors and anxiety. This study found that people living in nursing institutions are likely to be more anxious than their dwelling counterparts. Although we found no significant relationships of health behaviors such as smoking, drinking alcohol and exercise with anxiety, older adults with greater dietary diversity were less likely to experience anxiety. Furthermore, different trends between living arrangements and anxiety, smoking and anxiety were also found among urban versus rural respondents. The findings of this study help to better understand anxiety among Chinese older people and shed light on health policy on older people protection and services.

Intrinsic drive of medical staff: a survey of employee representatives from 22 hospitals in China.

Objective: While several initiatives, including monetary rewards and performance system reform, are used to inspire medical staff, none are fully effective. We sought to describe the intrinsic drive of medical staff and identify elements that improve work enthusiasm by increasing internal motivation. Methods: A cross-sectional study was conducted in which 2,975 employee representatives from 22 municipal hospitals in Beijing, China were interviewed using a self-made intrinsic motivation scale for medical staff which includes the achievement motivation, self-efficacy, conscientiousness, gratitude level and perceived organizational support. The Kruskal-Wallis analysis of variance and multiple linear regression methods were used to investigate the level of intrinsic motivation and identify any influencing factors. The correlation between employee drive and turnover intention was determined using Spearman rank correlation analysis and Kendall's tau b rank correlation coefficient. Results: A total of 2,293 valid answers were obtained, with a valid recovery rate of 77.1%. There were statistically significant differences in intrinsic motivation and its five dimensions by marital status, political status, profession, service year, monthly income, number of working hours per week, and turnover intention (p < 0.05). Being divorced, a CPC member, in the nursing profession, and having a higher monthly income had a positive impact on intrinsic motivation while working a high hours per week had a negative effect. Higher work drive was associated with lower turnover intention. The correlation coefficients of intrinsic drive and its five dimensions with turnover intention ranged from 0.265 to 0.522 (p < 0.001). Conclusion: Sociodemographic factors and work environment influenced the intrinsic motivation of medical staff. There was a correlation between work drive and turnover intention which indicated that stimulating the intrinsic drive of employees may help to increase staff retention.

The influence of healthy lifestyle behaviors on cognitive function among older Chinese adults across age and gender: Evidence from panel data.

Cognitive decline has become one of the major issues affecting the health and quality of life of older people. We aimed to examine the combined effect of healthy lifestyle behaviors on cognition among older adults. We utilized data from the Chinese Longitudinal Healthy Longevity Survey dataset and constructed four waves (2008-2018) of panel data of 8423 individuals over 60 years of age. Fixed-effects regression models were used to analyze the relationship between healthy lifestyle behaviors and cognition. Controlling for social and health-related factors, we found that older adults with higher healthy lifestyle scores were associated with better cognition (ß=0·308, SE=0·061). Combined healthy lifestyle behaviors have a positive association with cognition among older Chinese adults. Older age (ß=0·020, SE=0·007) and women gender (ß=0·257, SE=0·129) could increase the effect of healthy lifestyle behaviors on cognitive function. Meanwhile, older age could also promote the impact of diet (ß=0·041, SE=0·014) and exercise (ß=0·074, SE=0·012) on cognitive performance. Our findings indicated that healthy lifestyle behaviors could prevent cognitive decline among the older Chinese adult population. Older age and women gender may enhance the protective effect of lifestyle behaviors on cognition. Our study suggests that the government needs to launch campaigns and health policies on healthy lifestyle promotion interventions to reduce health inequality and health burden for older adults.

Association between work stress and health behaviours in Korean and Japanese ageing studies: a cross-sectional study.

OBJECTIVES: Limited research has focused on the association between work stress and health behaviours in Asian countries. We aimed to explore the effect of work stress on two health behaviours among employees aged 45 years or above in two countries with ageing populations, Korea and Japan. DESIGN: A cross-sectional study. SETTING: This secondary data analysis was conducted on baseline data from the Korean Longitudinal Study of Aging (KLoSA, 2006) and the Japanese Study of Aging and Retirement (JSTAR, 2007 and 2009). PARTICIPANTS: Included in the analytical sample were 4982 responders without missing data aged 45 years or older who reported work positions and hours (KLoSA n=3478, JSTAR n=1504). MAIN OUTCOME MEASURES: Work stress was represented by the short version of the effort-reward imbalance (ERI) model. We used logistic regression and multinomial logistic regression to investigate the association between work stress and smoking (binary current smoking) and between work stress and drinking (categorical volume of alcohol). Socioeconomic and work-related characteristics were taken into consideration, and we examined the potential interaction between ERI and gender. RESULTS: Work stress as measured by ERI ratio was significantly associated with both smoking and drinking in the KLoSA analysis; after the model was fully adjusted, ORs were 1.45 (95% CI 1.17 to 1.80) and 1.44 (95% CI 1.09 to 1.90), respectively. In analysis of the data from JSTAR, the ERI ratio was associated with smoking (OR 1.37, 95% CI 1.01 to 1.89) but not with drinking. No statistically significant interaction was found between ERI and gender in any model (p=0.82 in KLoSA data and p=0.19 in JSTAR data). CONCLUSIONS: Statistically significant associations were found between work stress and both smoking and drinking behaviours in Korea and between work stress and smoking in Japan. Government integration of effort-reward balance programmes and health promotion programmes could effectively promote population health in these two Asian countries.