biostudies-literatureUnknown54Zhang X<h4>Background</h4>In China, rising chronic diseases has coincided with the increasing burden of multimorbidity, particularly for vulnerable populations. Limited primary data are available to understand the prevalence and patterns of multimorbidity, especially in resource-limited rural areas. This study aims to conduct robust evaluations of the prevalence and patterns of multimorbidity among rural adults in China, and to compare the differences in prevalence and patterns when using primary data alone versus in combination with routinely collected data.<h4>Methods</h4>This cross-sectional study was conducted in three provinces in China, with two counties per province and 40 villages per county, resulted in a total of 240 villages. Participants were randomly selected and stratified by sex anThe Lancet regional health. Western Pacific101272https://www.ebi.ac.uk/biostudies/studies/S-EPMC11741085biostudies-literatureUsing primary and routinely collected data to determine prevalence and patterns of multimorbidity in rural China: a representative cross-sectional study of 6474 Chinese adults.PMC11741085Praveen DZhang JDing DZhang HXiong SLiu THao TZhang PBao MPeiris DJiang WWang YYang JPan YTian MFeng XHu CYan LLLi ZYe PTian WZhang XHou HXu XYan GGe AfalseUsing primary and routinely collected data to determine prevalence and patterns of multimorbidity in rural China: a representative cross-sectional study of 6474 Chinese adults.<h4>Background</h4>In China, rising chronic diseases has coincided with the increasing burden of multimorbidity, particularly for vulnerable populations. Limited primary data are available to understand the prevalence and patterns of multimorbidity, especially in resource-limited rural areas. This study aims to conduct robust evaluations of the prevalence and patterns of multimorbidity among rural adults in China, and to compare the differences in prevalence and patterns when using primary data alone versus in combination with routinely collected data.<h4>Methods</h4>This cross-sectional study was conducted in three provinces in China, with two counties per province and 40 villages per county, resulted in a total of 240 villages. Participants were randomly selected and stratified by sex an2025-01-01T00:00:00Z2025 Jan2025-04-18T16:48:31.243Z2025-04-07T04:15:41.043ZS-EPMC117410853983013910.1016/j.lanwpc.2024.101272