Journal of Capital Medical University ›› 2019, Vol. 40 ›› Issue (2): 276-281.doi: 10.3969/j.issn.1006-7795.2019.02.022

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Analysis of influence factors of suboptimal health status: undergraduates of Weifang University in 2017

Sun Qi1,2, Wang Hao1,2, Liu Hongqi3, Wang Youxin1,2   

  1. 1. Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China;
    2. Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China;
    3. Department of Medical Administration, Weifang College Hospital, Weifang 261061, Shandong Province, China
  • Received:2018-08-12 Online:2019-03-21 Published:2019-04-15
  • Supported by:
    This study was supported by National Natural Science Foundation of China(81561128020,31500148)

Abstract: Objective This study aims to investigate the prevalence of suboptimal health status and its related risk factors in new undergraduates. It will provide evidence for early prevention of suboptimal health status. Methods A cross-sectional study was designed to investigate new undergraduates at Weifang university in 2017. Suboptimal Health Status Questionnaire (SHSQ-25) was used to assess the suboptimal health status of students. And all students received physical examination and blood biochemical examination. Results Totally 5 219 of 6 276 participants completed the questionnaires (87.45%). The prevalence of suboptimal health status was 8.50% in all students, 6.50% in men and 9.80% in women, respectively. Logistic regression showed that gender, exercise, eating breakfast, eating salted food, eating fried foods and sleeping quality were major influencing factors of suboptimal health status. Conclusion The prevalence of suboptimal health status in Weifang university was higher. Female, lack of exercise, less breakfast, frequent eating of pickled food, frequent eating of fried food and poor sleep quality are the influencing factors of suboptimal health status of college freshmen.

Key words: undergraduates, suboptimal health status, prevalence, influence factors

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