Evidence map›Paper›PMID 39354617›Full record

ArticleBMC nutrition2024

Healthy beverage index is associated with metabolic syndrome: insights from the Ravansar non-communicable disease (RaNCD) cohort study.

Hawal Lateef Fateh, Neda Izadi, Shahab Rezaeian, Farid Najafi, Ebrahim Shakiba, Mitra Darbandi, Yahya Pasdar

Abstract read
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Article in BMC nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hawal Lateef FatehNursing Department, Kalar Technical Institute, Garmian Polytechnic University, Kalar, Kurdistan Region, Iraq.
Neda IzadiResearch Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahab RezaeianInfectious Diseases Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Farid NajafiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ebrahim ShakibaSocial Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mitra DarbandiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Yahya PasdarResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. Yahya.pasdar@kums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary patterns play a crucial role in the development and management of metabolic syndrome (MetS). The Healthy Beverage Index (HBI) is a novel tool that assesses the quality of beverage choices in the diet and provides insights into their potential impact on metabolic health. The aim of this study was to investigate the association between the HBI and the MetS.

methodsThis cross-sectional study was conducted using data collected at baseline from the Ravansar Noncommunicable Disease Cohort Study. A total of 9,025 participants aged 35 to 65 years were included in the analysis. HBI was calculated using food items from the Food Frequency Questionnaire (FFQ). MetS status was defined according to established criteria, and logistic regression analysis was performed to assess the association between HBI scores and MetS, adjusting for potential confounding variables.

resultsIn our study, 41.13% of the population was found to have MetS, with a significant association between MetS and tertiles of HBI. Furthermore, the logistic regression model showed a significant inverse association between HBI scores and the odds of developing a MetS (OR = 0.90; 95% CI: 0.86, 0.94), even after adjusting for confounding factors, emphasizing the potential protective effect of higher HBI scores.

conclusionIncreased HBI scores were associated with lower risk of MetS, emphasizing the importance of choosing health-promoting beverages in controlling MetS. These findings support the association between dietary habits and metabolic health and provide practical guidance for individuals and public health initiatives aimed at improving metabolic outcomes.

Indexed as

Food frequency questionnaireHealthy Beverage IndexMetabolic syndrome

Identifiers

PMID39354617
PMCPMC11445967

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.