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Association between Breakfast Skipping and the Metabolic Syndrome: The Korea National Health and Nutrition Examination Survey, 2017.

JaeHun JungA-Sol KimHae-Jin KoHye-In ChoiHee-Eun Hong
Published in: Medicina (Kaunas, Lithuania) (2020)
Background and Objectives: Recently, the prevalence of metabolic syndrome in Korea has increased rapidly. Current knowledge reflects the importance of dietary control in relation to the metabolic syndrome. The objective of this study was to evaluate the influence of skipping breakfast on the metabolic syndrome. Materials and Methods: We conducted a cross-sectional study using data from the Korea National Health and Nutrition Examination Survey 2017 for the second year. A total of 3864 adults aged 20 to 64 were included in the study. We stratified the study population into three groups, based on breakfast patterns: the regular group, irregular group, and skipping group. Multiple logistic regression analysis was used to analyze the association between skipping breakfast and the presence of metabolic syndrome. Results: We noted an increase in the proportion of metabolic syndrome cases as follows: skipping group (3.3%), irregular group (5.4%), and regular group (8.5%) (p < 0.001). The multivariate-adjusted odds ratios of metabolic syndrome in the skipping and irregular groups compared with the regular group were 0.68 (95% CI; 0.35 to 1.35) and 0.81 (95% CI; 0.51 to 1.28), respectively. In the 40-65-year-old age group, which had a high prevalence of metabolic syndrome, the multivariate-adjusted odds ratios of metabolic syndrome in the skipping group compared with regular group were 0.78 (95%CI, 0.39 to 1.62). Conclusions: There was no significant correlation between skipping breakfast and risk factors of metabolic syndrome (after adjusting for risk factors), but a tendency of skipping breakfast to lower the risk of metabolic syndrome was observed. A rationale for these results is proposed through the association between skipping breakfast and intermittent fasting.
Keyphrases
  • metabolic syndrome
  • insulin resistance
  • uric acid
  • risk factors
  • cardiovascular risk factors
  • healthcare
  • adipose tissue
  • cardiovascular disease
  • type diabetes
  • clinical trial
  • skeletal muscle
  • data analysis
  • weight loss