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
Recent studies have evaluated the association between specific beverage intake and metabolic risks in adults. However, more evidence is needed to examine the association between the Healthy Beverage Index (HBI) and metabolic factors. Therefore, this study investigated the relationship between HBI and metabolic factors in adults. In this cross-sectional study, 338 overweight and obese individuals living in Tabriz, Iran were selected. Data on beverage consumption, demographics, physical activity, and anthropometric characteristics were evaluated using validated standard protocols. The predefined HBI was calculated based on previous studies. The mean value of HBI index among all of the participants was 59.76 ± 6.51. Those at the higher HBI scores had significantly lower waist circumference, waist-to-hip ratio, fat mass, and weight (p < 0.05). HBI and triglyceride scores also had a significant relationship. It has been shown that at higher HBI scores compared to lower scores, high-density lipoprotein cholesterol levels increase while homeostatic model assessment for insulin resistance, low-density lipoprotein cholesterol, total cholesterol, and blood pressure decrease. HBI scores higher among Iranian adults were associated with a better chance of losing weight and weight loss and a better lipid profile, and lower blood pressure. Therefore, HBI can be a useful and helpful tool for assessing the overall quality of beverages adults consume. However, further studies are warranted to confirm the possible health effects of healthy beverage index.
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