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高校教师健康状况影响因素的多分类Logistic回归分析

陈京萍 徐谦 陈新林 贺振泉 林雪芳 莫传伟

安徽中医学院学报2011,Vol.30Issue(1):23-26,4.
安徽中医学院学报2011,Vol.30Issue(1):23-26,4.DOI:10.3969/j.issn.1000-2219.2011.01.010

高校教师健康状况影响因素的多分类Logistic回归分析

Risk Factors Influencing Health Status of Teachers in University Using Multinomial Logistic Regression Analysis

陈京萍 1徐谦 2陈新林 2贺振泉 2林雪芳 1莫传伟2

作者信息

  • 1. 广州中医药大学门诊部,广东,广州,510405
  • 2. 广州中医药大学基础医学院,广东,广州,510006
  • 折叠

摘要

Abstract

Objective To investigate the distribution of health status of staffs in a university and to explore the risk factors of health status, and to providc a basis for preventing sub-health and diseases, and for improving the health level of staffs. Methods Two hundreds and seventy-six staffs were enrolled using ran dom sampling method when they received physical examination in 2009. The information about constitution in Chinese medicine, health status and demographic data were collected. The risk factors of health status were analyzed by using multinomial logistic regression. Results Normal type, phlegm wetness type,and yang-deficiency type were the main constitution types among staffs in the university. There were 15.22% healthy people, 70.65% sub-healthy people, and 14. 13% diseased people. The risk factors of sub-health included all unbalance constitution (normal type as control group), female, and intermediate title (primary title as control group). The risk factors of diseascs included qi-deficiency type (normal type as control group), and professor (primary title as control group). Conclusion The staffs with unbalance constitution, intermediate title and professor title as well as females should be particularly concerned in universities. Some appropriate measures should be taken to reduce thc incidence of sub-health and diseases and to improve overall health status of staffs in universities.

关键词

中医体质/健康状况/高等学校/多分类Logistic回归

Key words

constitution in Chinese medicine/ health status/ university/ multinomial logistic regression

分类

医药卫生

引用本文复制引用

陈京萍,徐谦,陈新林,贺振泉,林雪芳,莫传伟..高校教师健康状况影响因素的多分类Logistic回归分析[J].安徽中医学院学报,2011,30(1):23-26,4.

基金项目

广州中医药大学科研创新基金项目(K0090077) (K0090077)

安徽中医学院学报

OACSTPCD

2095-7246

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