Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 51 5 2022 05 08 1076 1083 EN Qian Cui Department of Endocrinology and Metabolism, the Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China Ying Chen Department of Health and Environmental Sciences, Xi’an Jiaotong-Liverpool University, Suzhou Jiangsu 215123, China Xinhua Ye Department of Endocrinology and Metabolism, the Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China Yamei Cai Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing 210028, China Rui Qin Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing 210028, China Tao Chen 4. Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, United Kingdom Ting Yan Department of Nursing, the Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China Dahai Yu School of Medicine, Keele University, Staffordshire, United Kingdom 2020 11 23 2021 04 14 Background: This study was determined to describe the patterns of lifestyle behaviors and their associations with metabolic profiles among Chinese urban and rural adults. Methods: This was a cross-sectional study set in the Nanjing (5,824) and Hefei (20,269) Community Cardiovascular Risk Surveys from 2011-2013, using random cluster sampling. Questionnaires were completed via face-to-face interview, and data on lifestyle behaviors including daily night sleep duration, nap duration (if any) and sitting time, and weekly physical activity (measured using the International Physical Activity Questionnaire, in metabolic equivalents of task × minutes, and separated into walking and moderate-to-vigorous physical activity (MOVPA) according to intensity) was collected. The patterns of physical activity in Chinese urban and rural populations and the metabolic profile in each pattern were identified by the latent class analysis. Results: Six distinct clusters were determined, with the sizes ranging from 45% to 5% of the total population. For example, the most common cluster was associated with a sufficient night and nap sleep duration, a long sitting time, and above WHO recommended physical activities for both walking and MOVPA, and the smallest cluster was featured by its huge amount of MOVPA and limited amount of walking activity. Difference in proportion of each cluster was observed between the two survey sites. No obvious abnormal blood measures were seen in any cluster. Conclusion: Common lifestyle behavior clusters were described, leading to a better understanding of people’s routine activities. https://ijph.tums.ac.ir/index.php/ijph/article/view/22959 https://ijph.tums.ac.ir/index.php/ijph/article/download/22959/7594