Abstract

Dietary patterns represent a broader picture of food consumption, and are better correlated with a variety of health outcomes. However, few studies have been conducted to explore the associations between dietary patterns and obesity in Southwest China. Data from the 2010–2012 National Nutrition Survey in the province of Yunnan, Southwest China, were analyzed (n = 1604, aged 18–80 years). Dietary data were collected using the 24 h dietary recall over three consecutive days. Height, weight, and waist circumference were measured following standard methods. Exploratory factor analysis was used to identify dietary patterns. Logistic regression was used to explore the association between dietary patterns and obesity. Three distinct dietary patterns were identified, which were labeled as traditional, modern, and tuber according to their key components. With potential confounders adjusted, adults in the highest quartile of the modern pattern were at higher risk of general and central obesity (odds ratio (OR) 1.95, 95% confidence interval (CI) 1.15–3.48; OR 2.01, 95% CI 1.37–2.93). In contrast, adults in the highest quartile of the tuber pattern were at lower risk of general and central obesity (OR 0.34, 95% CI 0.15–0.61; OR 0.64, 95% CI 0.43–0.95) but at higher risk of underweight (OR 2.57, 95% CI 1.20–6.45). No significant association was found between the traditional pattern and obesity. Moreover, dietary pattern differences occurred due to the differences in socio-demographic characteristics. In conclusion, the modern dietary pattern was positively, and the tuber pattern negatively, associated with general and central obesity among adults in Southwest China.

Highlights

  • Obesity has become a major public health problem for both developed and developing countries [1,2]

  • Over the past twenty years, the prevalence of general and central obesity in Chinese adults has increased from 4.0% and 18.7% to 10.7% and 37.6%, respectively [3]

  • Our study assessed the association between dietary patterns and obesity in Southwest China for the first time

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Summary

Introduction

Obesity has become a major public health problem for both developed and developing countries [1,2]. Over the past twenty years, the prevalence of general and central obesity in Chinese adults has increased from 4.0% and 18.7% to 10.7% and 37.6%, respectively [3]. Increasing incidences of hypertension, type 2 diabetes, and other obesity related chronic non-communicable diseases (NCDs) have brought on a significant economic burden [4]. Obesity is a disorder that occurs as a result of interactions between genetic, environmental, and behavioral factors [5]. Rising prevalence of obesity can be best explained by the behavioral and environmental changes in modern times, especially in diet [6]. The traditional nutrient-effect approach has limitations to reveal the association between diet and obesity. Dietary pattern analysis has been widely used as an alternative method in

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