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"Metabolic parameters"

Original Article
[English]

Obesity and overweight pose a significant public health problem, as they are associated with an elevated risk of metabolic syndrome (MetS). Several studies have shown that diet quality is associated with the development of MetS risk factors. Analyzing dietary patterns may be more helpful in determining the relationship between eating habits and chronic diseases compared to focusing on single foods or nutrients. In this study, our
objective
was to evaluate the association of food quality score (FQS) with risk factors for MetS in individuals with obesity and overweight. The participants in this cross-sectional study were 340 adults with overweight and obesity. Participants’ food intake was measured using a Food Frequency Questionnaire, then the FQS was calculated. A fasting blood sample assessed serum glucose, triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol, and serum insulin levels. Fat-free mass, height, basal metabolic rate, socio-economic score, and waist-to-hip ratio significantly differed among FQS tertiles. TC, systolic and diastolic blood pressure, and fasting blood glucose were significantly lower in the highest tertile of FQS. After multivariable adjustment, our results showed that individuals in the third tertile of FQS had reduced risk of higher levels of TC (odds ratio [OR], 0.982; 95% confidence interval [CI], 0.970–0.984) and higher levels of low-density lipoprotein cholesterol (OR, 0.974; 95% CI, 0.974–0.999). Our findings demonstrate an inverse relationship between diet quality, as measured by FQS, and MetS risk factors. However, further experimental and longitudinal investigations are warranted to elucidate the causal nature of this association.

Citations

Citations to this article as recorded by  
  • Sex differences in the prevalence of metabolic syndrome and associated factors in the general population of Mongolia: A nationwide study
    Lkham-Erdene Byambadoo, Narantuya Davaakhuu, Unursaikhan Surenjav, Bolormaa Norov, Enkhjargal Tserennadmid, Souphalak Inthaphatha, Kimihiro Nishino, Eiko Yamamoto, Mithun Sikdar
    PLOS ONE.2024; 19(10): e0311320.     CrossRef
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