An analysis on sub-health status and influencing factors of white-collar population in Hangzhou City
10.19485/j.cnki.issn1007-0931.2017.06.007
- VernacularTitle:杭州市企业白领人群亚健康状况及影响因素分析
- Author:
Xin-Liang CHEN
1
;
Xiao-Liang CHEN
;
Ting ZHU
Author Information
1. 杭州市肿瘤医院保健科
- Keywords:
White-collar population;
Sub-health;
Influencing factor
- From:
Journal of Preventive Medicine
2017;29(6):570-573
- CountryChina
- Language:Chinese
-
Abstract:
Objective In the current study, we aim to analyze the sub-health status and its potential influencing factors on white-collar population in Hangzhou, and to provide the basis for improving their health consciousness and life styles. Methods A total of 2156 employees who work at private enterprises, state-owned enterprises, joint ventures and sole proprietorship enterprises in Hangzhou, were recruited for the survey on the sub-health status via a stratified cluster random sampling method. The sub-health incidence was assessed using the standard sub-health rating scale (SHMS V1.0) and the risk factors for sub-health were analyzed by the logistic regression. Results A total of 2156 questionnaires were distributed and 2117 were returned. The valid questionnaires were 2046 and the responsive rate was 96.65%. Among the 2046 respondents, sub-health was 1062, accounting for 51.91%. The multivariate logistic regression analysis showed that male, age over 30 years old, divorce/widowhood, joint venture, sole proprietorship, bad habits, family disharmony and low job recognition were risk factors for sub-health in white-collar population. Marriage, master degree, management positions, senior white-collar workers, monthly income of more than 5000 yuan, regular sports, serving state-owned enterprises were the sub-health protection factors for white-collar population. Conclusion Totally 51.91% of the white-collar workers in Hangzhou were in sub-health state. Furthermore, male, over 30 years old, divorced/widowed, working in joint venture or sole proprietorship, bad habits, family disharmony and low job recognition are risk factors for sub-health.
