ArticleFood science & nutrition2023
Healthy beverage index could decrease odds of metabolic syndrome: A cross-sectional study.
Article in Food science & nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- In Vitro and In Silico Assessment of the Probiotic and Technological Potential of Lacticaseibacillus rhamnosus MW019593 Isolated from Algerian Cow's Milk.Probiotics and antimicrobial proteins · 2026Article
- Association between healthy beverage index and odds of diminished ovarian reserve in a case-control study.Scientific reports · 2025Article
- Association between healthy beverage index and healthy beverage score with metabolic syndrome: a cross-sectional study.Journal of nutritional science · 2025Article
- Healthy beverage index is associated with metabolic syndrome: insights from the Ravansar non-communicable disease (RaNCD) cohort study.BMC nutrition · 2024Article
- Association between dietary total antioxidant capacity and the risk of stroke: a nested case-control study.BMC nutrition · 2024Article
- Consumption of ultra-processed foods could influence the metabolic syndrome odds: A cross-sectional study.Food science & nutrition · 2024Article
- Healthy beverage index could decrease odds of metabolic syndrome: A cross-sectional study.Food science & nutrition · 2023Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Some studies indicated that sugar-sweetened beverages (SSBs) were related to MetS risk, and others found no relationship between MetS and SSBs. Therefore, the present study aimed to investigate the relationship between healthy beverage index (HBI) and MetS in Iranian adults. This cross-sectional study was performed on baseline data FASA cohort. Out of 10,127 participants in the FASA cohort study, 8838 participants were included in this study. The National Cholesterol Education Program's Adult Treatment Panel (ATP) III was used for MetS definition. The HBI was calculated by a 125-item food frequency questionnaire with standard criteria. The association between HBI and MetS and its components was evaluated by univariate regression. Multivariate regression with the backward method was used for adjusting confounders.
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Registered trials
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