Gender Differences in the Association between Dietary Pattern and the Incidence of Hypertension in Middle-Aged and Older Adults

Nutrients. 2018 Feb 23;10(2):252. doi: 10.3390/nu10020252.

Abstract

We examined gender differences in the association between dietary patterns and the risk of hypertension, using the Korean Genome and Epidemiology Study data. A total of 5090 participants (2457 men and 2633 women) aged 40-69 years without hypertension at baseline were selected. Dietary patterns were obtained using factor analysis based on 26 food groups, evaluated by a validated semi-quantitative food frequency questionnaire at baseline. Hypertension was defined as systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg, or the use of antihypertensive medication using the biennial measurements. Multivariate Cox proportional hazards models were used to examine the associations between dietary patterns and hypertension. Four dietary patterns were extracted: coffee, fat, and sweets; prudent; whole grains and legumes; and traditional (men)/Western (women). Women in the highest tertile of the whole grains and legumes pattern scores showed a lower risk of incident hypertension compared with those in the lowest tertile (hazard ratio = 0.77, 95% confidence interval = 0.59-1.00, p-trend = 0.048). Other dietary patterns were not associated with hypertension in either men or women. A diet rich in whole grains and legumes is inversely associated with the risk of hypertension in Korean women, suggesting a gender difference in the association between diet and hypertension.

Keywords: Korean adult; gender difference; hypertension; whole grain and legumes pattern.

MeSH terms

  • Adult
  • Aged
  • Asian People
  • Blood Pressure
  • Body Mass Index
  • Diet*
  • Fabaceae
  • Female
  • Follow-Up Studies
  • Humans
  • Hypertension / epidemiology*
  • Incidence
  • Life Style
  • Male
  • Middle Aged
  • Nutrition Assessment
  • Proportional Hazards Models
  • Prospective Studies
  • Republic of Korea / epidemiology
  • Risk Factors
  • Sex Factors*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Whole Grains