Patterns of Lifestyle Behaviors and Relevant Metabolic Profiles in Chinese Adults: Latent Class Analysis from Two Independent Surveys in Urban and Rural Populations.

Cui, Qian, Chen, Ying, Ye, Xinhua, Cai, Yamei, Qin, Rui, Chen, Tao ORCID: https://orcid.org/0000-0002-5489-6450, Yan, Ting and Yu, Dahai (2022) 'Patterns of Lifestyle Behaviors and Relevant Metabolic Profiles in Chinese Adults: Latent Class Analysis from Two Independent Surveys in Urban and Rural Populations.'. Iranian Journal of Public Health, Vol 51, Issue 5, pp. 1076-1083.

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Abstract

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.

Item Type:	Article
Subjects:	WA Public Health > WA 105 Epidemiology WA Public Health > WA 30 Socioeconomic factors in public health (General)
Faculty: Department:	Clinical Sciences & International Health > Clinical Sciences Department
Digital Object Identifer (DOI):	https://doi.org/10.18502/ijph.v51i5.9423
SWORD Depositor:	JISC Pubrouter
Depositing User:	JISC Pubrouter
Date Deposited:	03 Jan 2023 10:20
Last Modified:	15 Jun 2023 14:59
URI:	https://archive.lstmed.ac.uk/id/eprint/21681

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