Journal of Shandong University (Health Sciences) ›› 2021, Vol. 59 ›› Issue (1): 108-114.doi: 10.6040/j.issn.1671-7554.0.2020.0985

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Analysis on the health status and influencing factors of poor people in Sanchunji County of Dong ming

WANG Xiaoxuan, ZHU Gaopei, SUN Na, FENG Jianing, XIAO Yufei, SHI Fuyan, WANG Suzhen   

  1. School of Public Health, Weifang Medical University, Weifang 261053, Shandong, China
  • Published:2021-01-09

Abstract: Objective To explore the distribution characteristics and influencing factors of health status of poor population in Sanchunji County of Dong ming City so as to provide reference for developing feasible strategies to promote the health of population in poverty-stricken areas. Methods The health status of poor population and influencing factors were analyzed with multinomial Logistic regression. Results Among the 2 673 poor people surveyed, 1 723(64.5%)were healthy and 950(35.5%)were diseased. Logistic regression showed that the age distributions of people with chronic diseases were 26-35 years(OR=4.891), 35-45 years(OR=4.839)and 46-55 years(OR=8.659). These people generally had 1-4 family members(OR=1.881). Their education levels were elementary school or below(OR=7.975)and junior middle school(OR=5.070). They tended to have poor labor capacity(common labor capacity: OR=0.021; weak labor capacity: OR=0.508). They had low income, and annual net income per capita was 3 000-5 000 yuan(OR=2.609). The age distribution of people with serious diseases were 16-25 years(OR=6.492), 26-35 years(OR=17.805), 36-45 years(OR=28.560)and 46-55 years(OR=28.175). They had no labor capacity(common labor capacity: OR=0.004; weak labor capacity: OR=0.148). Conclusion Diseases reduce the ability to work, which ultimately lead to poverty. Other factors, such as education level, also affect the condition of material life and health status. Special attention should be paid to poor people with chronic diseases to help them regain the labor capacity. Appropriate support policies are to be promoted to improve poor peoples educational level and basic survival skills.

Key words: Poor people, Health status, Multinomial Logistic regression, Influencing factors

CLC Number: 

  • R181.37
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