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. 2021 Jul 22;18(15):7763.
doi: 10.3390/ijerph18157763.

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

Xiaona Na  1 , Yangyang Chen  1 , Xiaochuan Ma  1 , Dongping Wang  2 , Haojie Wang  2 , Yang Song  2 , Yumeng Hua  1 , Peiyu Wang  1 , Aiping Liu  1
Affiliations

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

Xiaona Na et al. Int J Environ Res Public Health. .

Abstract

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.

Keywords: 24-h time-use; compositional data; dietary pattern; dyslipidemia; lifestyle behavior cluster.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of statistical analyses. SB, sedentary behavior; MVPA, moderate-to-vigorous intensity physical activity; LPA, light intensity of physical activity.
See this image and copyright information in PMC

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