Effect of health management on lifestyle among high risk population of non-communicable diseases in government departments and public institutions in Chongqing
DING Xian-bin1, CHEN Ting1, BAI Ya-min2, LIU Min2, XU Jie1
1. Institute of Non-communicable Disease Prevention and Control, Chongqing Center for Disease Prevention and Control, Chongqing 400042, China; 2. National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
Abstract：Objective To evaluate the effect of health management on lifestyle among high risk population of non-communicable diseases in government departments and public institutions in Chongqing, and to provide the experience for exploring health management targeting high risk population. Methods Staff members from government departments and public institutions of four districts/counties in Chongqing were sampled by cluster sampling method, and the high risk population of non-communicable diseases were screened and enrolled into the intervention group and the control group with written informed consent. The intervention group was intervened by health management according to the risk level. Risk population with one or two risk factors received basic health management, while those with more than three risk factors received intensified health management based on basic health management. The control group was not intervened. After one-year health management intervention, the changes of lifestyle and risk classification in the intervention group and the control group were evaluated. SPSS 25.0 software was used to conduct Chi-square test on the data. The effects of health management before and after the intervention were analyzed by the difference-in-difference method. Results The average ages of the intervention group (n=380) and the control group (n=576) were (41.48±9.36) and (39.89±9.27) years old, respectively. Before the intervention, statistically significant differences were found in the gender and marital status between the intervention group and the control group (χ2=7.25, χ2=5.71, both P<0.05), but no statistically significant differences were found in age, ethnic group and educational background between the two groups (χ2=7.37, χ2=1.48, χ2=5.33, all P>0.05). The results of difference-in-difference regression analysis indicated that the contribution rates of health management to the changes of current smoking rate, adequate physical activity, adequate intake of dairy products, inadequate intake of vegetables and fruits and classification of high risk factors were -0.38, 0.59, 0.62, -0.26 and -0.74, showing statistically significant differences (Wald χ2=9.34, Wald χ2=4.53, Wald χ2=14.72, Wald χ2=4.45, Wald χ2=12.38, all P<0.01). Compared with before the intervention, the odd ratios of current smoking rate, adequate physical activity, adequate intake of dairy products, inadequate intake of vegetables and fruits and classification of high risk factors were 0.69 (0.54-0.87), 1.81 (1.05-3.12), 1.86 (1.36-2.56), 0.77 (0.61-0.98) and 0.48 (0.32-0.72), respectively. Conclusions Implementing heath management targeting high risk population of non-communicable diseases in government departments and public institutions can promote the formation of healthy lifestyle and reduce the risk level, and these effective measures should be promoted.
丁贤彬, 陈婷, 白雅敏, 刘敏, 许杰. 健康管理对重庆市机关事业单位慢性病高风险人群生活方式的影响[J]. 实用预防医学, 2020, 27(3): 257-261.
DING Xian-bin, CHEN Ting, BAI Ya-min, LIU Min, XU Jie. Effect of health management on lifestyle among high risk population of non-communicable diseases in government departments and public institutions in Chongqing. , 2020, 27(3): 257-261.
2020, Vol. 27 
