Empirically derived dietary patterns and constipation among a middle-aged population from China, 2016-2018

Nutr J. 2019 Dec 26;18(1):88. doi: 10.1186/s12937-019-0512-9.

Abstract

Background: The association of dietary patterns with constipation is not well established, particularly in Chinese population. Therefore, the present study aimed to determine the relationship between dietary patterns and the risk of constipation in a middle-aged Chinese population.

Methods: A total of 2267 participants aged 45-59 years were recruited in Hangzhou city, the capital of Zhejiang Province, east China from August 2016 to October 2018. Dietary intake was estimated using a semi-quantitative food frequency questionnaire (FFQ) containing 138 food items. Constipation was defined using the Rome II criteria. Multivariate logistic regression was used to examine the association between dietary patterns and the risk of constipation.

Results: Three major dietary patterns were extracted by factor analysis and labeled as the traditional southern Chinese, Western and grains-vegetables patterns. The prevalence of constipation in our study population was 13.28%. Compared with the participants in the lowest quartile, the participants in the highest quartile of the traditional southern Chinese pattern were associated with reduced odds of constipation (odd ratios (OR) = 0.79; 95%confidence interval (CI): 0.626-0.981; P < 0.05), after adjusting for confounding variables. In contrast, we found no significant associations between the Western and grains-vegetables patterns and the risk of constipation (P > 0.05).

Conclusions: Our study demonstrated that the traditional southern Chinese pattern was associated with a reduced risk of constipation. Further longitudinal studies are needed to confirm our findings.

Keywords: Chinese; Constipation; Cross-sectional study; Dietary patterns.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Constipation / epidemiology*
  • Diet / methods*
  • Diet / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Prevalence
  • Risk Factors
  • Surveys and Questionnaires