Dietary pattern is associated with obesity in older people in China: Data from China health and nutrition survey (CHNS)

Xiaoyue Xu, John Hall, Julie Byles, Zumin Shi

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

Background: No studies have been conducted to explore the associations between dietary patterns and obesity among older Chinese people, by considering gender and urbanization level differences. Methods: We analyzed data from the 2009 China Health and Nutrition Survey (2745 individuals, aged ě 60 years). Dietary data were obtained using 24 h-recall over three consecutive days. Height, Body Weight, and Waist Circumference were measured. Exploratory factor analysis was used to identify dietary patterns. Multinomial and Poisson regression models were used to examine the association between dietary patterns and Body Mass Index (BMI) status/central obesity. Results: The prevalence of general and central obesity was 9.5% and 53.4%. Traditional dietary pattern (high intake of rice, pork and vegetables) was inversely associated with general/central obesity; modern dietary pattern (high intake of fruit, fast food, and processed meat) was positively associated with general/central obesity. The highest quartile of traditional dietary pattern had a lower risk of general/central obesity compared with the lowest quartile, while an inverse picture was found for the modern dietary pattern. These associations were consistent by gender and urbanization levels. Conclusions: Dietary patterns are associated with general/central obesity in older Chinese. This study reinforces the importance of a healthy diet in promoting healthy ageing in China.

Original languageEnglish
Pages (from-to)8170-8188
Number of pages19
JournalNutrients
Volume7
Issue number9
DOIs
Publication statusPublished - 23 Sep 2015

Keywords

  • Central obesity
  • Dietary pattern
  • Gender
  • Obesity
  • Older Chinese people
  • Urbanization levels

ASJC Scopus subject areas

  • Food Science
  • Nutrition and Dietetics

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