Relations of Lifestyle Behavior Clusters to Dyslipidemia in China: A Compositional Data Analysis

• Main Authors: Xiaona Na, Yangyang Chen, Xiaochuan Ma, Dongping Wang, Haojie Wang, Yang Song, Yumeng Hua, Peiyu Wang, Aiping Liu
• Format: Article
• Language: English
• Published: MDPI AG 2021-07-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: lifestyle behavior cluster; dyslipidemia; 24-h time-use; compositional data; dietary pattern
• Online Access: https://www.mdpi.com/1660-4601/18/15/7763

Dyslipidemia is associated with lifestyle behaviors, while several lifestyle behaviors exist collectively among some populaitons. This study aims to identify lifestyle behavior clusters and their relations to dyslipidemia. This cross-sectional study was conducted in Wuhai City, China. Cluster analysis combined with compositional data analysis was conducted, with 24-h time-use on daily activities and dietary patterns as input variables. Multiple logistic regression was conducted to compare dyslipidemia among clusters. A total of 4306 participants were included. A higher prevalence of newly diagnosed dyslipidemia was found among participants in cluster 1 (long sedentary behavior (SB) and the shortest sleep, high-salt and oil diet) /cluster 5 (the longest SB and short sleep), relative to the other clusters in both age groups (<50 years and ≥50 years). In conclusion, unhealthy lifestyle behaviors may exist together among some of the population, suggesting that these people are potential subjects of health education and behavior interventions. Future research should be conducted to investigate the relative significance of specific lifestyle behaviors in relation to dyslipidemia.