Prevalence and influencing factors of chronic diseases among the elderly in Southwest China: A cross-sectional study based on community in urban and rural areas

Objective: To explore the influencing factors affecting chronic diseases of elderly in Kunming. Methods: Data were collected from November 2020 to August 2021.The crosssectional study based on community was adopted. And hierarchical random sampling was used. A face to face questionnaire survey was conducted among the respondents or family caregivers. The contents we collected mainly include general demographic characteristics and other related influencing factors, self -reported chronic diseases and disability status. Results: 1161 elderly were investigated in total. The percentage of non -communicable chronic disease among the rural elderly was higher than that of urban elderly. Binary logistic regression analysis showed that in urban areas, female (OR: 0.592;95 %CI:0.396 - 0.885), not in marriage (OR:1.643;95 %CI:1.093 - 2.470)and not very satisfied with family support (OR:1.858;95 %CI:1.115 - 3.096) are the influencing factors of chronic disease, while in rural areas are not in marriage (OR:1.961;95 %CI:1.021 - 3.763), more health -promoting behavior (OR:0.582;95%CI:0.350 - 0.970), not very satisfied with family support (OR:1.858;95 %CI:1.115 - 3.096), age 70 -79 (OR:1.805;95 %CI:1.705 - 3.031), age 80 and above (OR:2.081;95 %CI:1.010 - 4.288), empty nest family (OR:0.389;95 %CI:0.186 - 0.811)and personal monthly income 2001-3000 (OR:0.353;95CI%:0.1800.693). The influencing factors of urban -rural multimorbidity and non -communicable chronic disease with disability also exist differences at individual, family and social levels. Conclusions: The prevalence rate of non -communicable chronic diseases among the elderly in Yunnan Province is not optimistic. Personal, family and social factors would affect the non -communicable chronic diseases of the elderly and there exist difference in influencing factor of non -communicable chronic disease between urban and rural areas.