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%:0.180 ∼ 0.693). 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.