Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Abstract

Objectives: This study aimed to analyze the prevalence of rheumatic diseases and its correlation with temperature and humidity among middle-aged and elderly adults in China from a spatial perspective. Methods: Data on rheumatic diseases among middle-aged and elderly adults were sourced from the 2018 China Health and Retirement Longitudinal Study (CHARLS). Moran’s I was applied to explore the spatial autocorrelation of rheumatic diseases. Spatial lag model (SLM) was established to probe the correlation between rheumatic diseases and temperature and humidity. Results: The age-standardized prevalence of rheumatic diseases was 33.2% for middle-aged and elderly adults in China, varying from 12.0% to 51.4% depending on regions. The Global Moran’s I was 0.506 (p = 0.001). Average temperature had negative correlation while average relative humidity had positive correlation with age-standardized prevalence of rheumatic diseases in the SLM. Conclusion: The age-standardized prevalence of rheumatic diseases of middle-aged and elderly adults showed spatial autocorrelation in China. We recommend taking measures to prevent rheumatic diseases for the middle-aged and elderly adults, especially for those living in cold and humid regions.