Abstract: Objective To analyze the current status and influencing factors of renal function decline among community elderly, so as to provide a reference for active prevention and treatment of renal function decline. Methods The convenience sampling method was used to select ten communities within the jurisdiction of Danzhou City, and each community was expected to survey 500 residents aged ≥60 years for questionnaire survey, physical examination, and detection of biochemical blood indicators and renal function-related indicators. The descriptive epidemiological analysis method was used to analyze the incidence of renal function decline among elderly, and univariate and multivariate analysis methods were used to analyze the influencing factors of renal function decline in this population. Results A total of 4 921 residents aged ≥60 years in Danzhou City were collected, including 2 569 males and 2 352 females, aged 60-87 years, with an average of （68.9±4.8） years old. Three hundred ninety cases of decreased renal function were detected, and the detection rate was 7.93%. Multivariate Logistic regression analysis showed that gender （OR=1.634）, age （OR=1.960）, body mass index≥24.0 kg/m² （OR=1.732）, drinking history （OR=1.128）, physical exercise （OR=0.369）, anemia （OR=1.701）, hypertension （OR=2.672）, diabetes （OR=3.758）, dyslipidemia （OR=3.174）, and abnormal liver function （OR=1.436） were the influencing factors of renal function decline among the elderly population in Danzhou City, Hainan Province. Conclusion The detection rate of renal function decline among people aged ≥60 years in Danzhou City, Hainan Province, is high, and it is affected by multiple factors such as gender, age, drinking history, frequency of physical exercise, anemia, hypertension, dyslipidemia, and abnormal liver function. We should pay attention to the high incidence of renal function decline and take targeted intervention measures to avoid the risk of renal function decline.

Key words: Renal function decline, Elderly, Urinary system, Influencing factor