Diabetes, Metabolic Syndrome and Obesity (Oct 2022)

Unhealthy Dietary Patterns Increased Risks of Incident Obesity: A Prospective Cohort Study in Southwest China

  • Liu T,
  • Yang X,
  • Wu Y,
  • Chen M,
  • Yang Y,
  • Chen Y,
  • Wang Y,
  • Zhou J,
  • Xu K,
  • Wang N,
  • Fu C

Journal volume & issue
Vol. Volume 15
pp. 3111 – 3120

Abstract

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Tao Liu,1,* Xiulu Yang,2,* Yanli Wu,1 Min Chen,1 Yu Yang,2 Yun Chen,2 Yiying Wang,1 Jie Zhou,1 Kelin Xu,2 Na Wang,2 Chaowei Fu2 1Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China; 2School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chaowei Fu, School of Public Health; Key Laboratory of Public Health Safety; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China, Tel/Fax +86 21 33563933, Email [email protected]: Few studies have explored the associations between diet patterns and incident obesity in China. This study aimed to explore associations between dietary patterns and incident obesity in a prospective community-population cohort in Southwest China.Patients and Methods: Totally, 5742 adult residents from Guizhou province were eligible for this analysis. Demographic characteristics, lifestyle, history of chronic diseases, and dietary patterns measured by hundred-item food frequency questionnaires (FFQs) were collected at the baseline study. Four dietary patterns were identified using factor analysis. Cox proportional hazard models stratified by physical activity were used to explore the association and estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI).Results: Among 5742 subjects, the average age was 45.06 ± 15.21 years old and more than half were women. During the follow-up of 40,524.15 person years (PYs), the overall incidence rate of obesity was 10.54/1000PYs. After the adjustment for possible confounding factors, subjects with the third (aHR: 1.51, 95% CI: 1.14– 2.00) and the fourth quartile (aHR: 1.46, 95% CI: 1.10– 1.94) of junk food patterns had statistically increased risk of incident obesity compared to those with the first quartile. Also, subjects with the third quartile of the western pattern had significantly higher risk of incident obesity (aHR: 1.33, 95% CI: 1.01– 1.75) than those with the first quartile.Conclusion: There was a high risk in incident obesity among Chinese community population of Southwest China and unhealthy diet significantly increased risk of developing obesity. The findings indicated that effective and targeted measures to improve dietary patterns need to be undertaken urgently in Southwest China.Keywords: dietary patterns, obesity, cohort study, factor analysis, China

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