Volume 19 Issue 7
Jul.  2021
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Article Navigation >  Chinese Journal of General Practice  > 2021  >  19(7): 1158-1162
HAO Yu, CUI Ya-qi, YANG Yong-hua, LIN Jie, GONG Wei-hua, WANG Zhao-xin, YU Wen-ya, GONG Xin, LU Wei, HUANG Jiao-ling. Analysis of health status and differences among white-collar workers in one street in Shanghai city[J]. Chinese Journal of General Practice, 2021, 19(7): 1158-1162. doi: 10.16766/j.cnki.issn.1674-4152.002010
Citation: HAO Yu, CUI Ya-qi, YANG Yong-hua, LIN Jie, GONG Wei-hua, WANG Zhao-xin, YU Wen-ya, GONG Xin, LU Wei, HUANG Jiao-ling. Analysis of health status and differences among white-collar workers in one street in Shanghai city[J]. Chinese Journal of General Practice, 2021, 19(7): 1158-1162. doi: 10.16766/j.cnki.issn.1674-4152.002010
shu

Analysis of health status and differences among white-collar workers in one street in Shanghai city

doi: 10.16766/j.cnki.issn.1674-4152.002010
  • 1.

    Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China

Funds:

 71904145

 71904145

 SQ2018YFC130057

 HNSK(ZC)17-11

  • Received Date: 2020-06-08
    Available Online: 2022-02-16
    Abstract
  •   Objective  To learn the general health status of white-collar workers and its affecting factors.  Methods  A survey was conducted using questionnaire among the White-collar workers who works in work building in Beiwaitan Street in Shanghai city. A total of 1 040 questionnaires were distributed, and overall 993 valid questionnaires were returned. Based on the results, this article examined the effect of different population characteristics on the health status of white-collar workers, including the prevalence of chronic disease, anxiety status and self-rated health.  Results  Prevalence of chronic disease among the surveyed subjects was 13.71%, and the prevalence of people with anxiety disorder accounted for 33.55% of the total. As for the results of self-rated health, the majority of the subjects noted average condition, which made up 48.43% of the total, and those who noted relatively good made up 32.73%, taking the second place. According to the results, the prevalence rate of chronic disease seemed to increase gradually with age (P < 0.05), and the subjects who worked as service personnel and professional technicians were more likely to suffer from chronic diseases (P < 0.05). The higher the level of education of white-collar workers, the better the status of mental health (P < 0.05), and the anxiety disorders appeared less for workers who had social medical insurance. Furthermore, the results showed that women's self-rated health was better than men's (P < 0.05), and those with a higher education level seemed to have better results for this part (P < 0.05). Married workers and those who had social medical insurance were more likely to have better results of self-rated health (P < 0.05).  Conclusion  The health status of white-collar workers has occupational specificity.The age, gender, professional type, education level received, marriage status and whether or not the workers have social medical insurance can all be regarded as the important factors affecting their health status. A basic medical system which is especially suitable for the white-collar workers should be established or improved to promote their general physiological and mental health statuses.

     

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