Association between dietary patterns and metabolic syndrome in Chinese adults: a propensity score-matched case-control study

Sci Rep. 2016 Oct 6:6:34748. doi: 10.1038/srep34748.

Abstract

Previous studies indicated that dietary patterns were associated with metabolic syndrome (MS), but little is known in Chinese. We design this case-control study to evaluate the associations between dietary patterns and MS in Chinese adults. In this study, 1492 participants with MS were matched with 1492 controls using the 1:1 ratio propensity score matching methods. Dietary intake was assessed using a valid self-administered food frequency questionnaire, and MS was defined in accordance with the criteria of the American Heart Association scientific statement of 2009. Higher scores for the high-protein/cholesterol pattern were associated with higher prevalence of MS. Compared with the participants in the lowest quartile, the odds ratio (OR) for the extreme quartile was 1.36 (95% confidence interval (CI), 1.10-1.68) and the P for trend <0.01 after adjusted for the other two dietary pattern scores. We also found a moderate consumption of the balanced pattern was associated with the lowest prevalence of MS. The ORs across quartiles of the balanced pattern were 1 (reference), 0.83 (95% CI, 0.68-1.02), 0.69 (95% CI, 0.56-0.85), and 0.84 (95% CI, 0.68-1.04) after adjustment. Our study demonstrates that there is a strong association between a diet rich in animal offal, animal blood, meat, and sausage and a higher prevalence of MS.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Mass Index
  • Case-Control Studies
  • China / epidemiology
  • Cross-Sectional Studies
  • Diet, High-Fat / adverse effects*
  • Diet, High-Fat / statistics & numerical data
  • Diet, High-Protein / adverse effects*
  • Diet, High-Protein / statistics & numerical data
  • Female
  • Humans
  • Male
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / etiology
  • Middle Aged
  • Nutrition Surveys
  • Odds Ratio
  • Prevalence
  • Propensity Score