Evidence map›Paper›PMID 39237954›Full record

ArticleBMC endocrine disorders2024

Association between fat-soluble vitamins and metabolic syndromes in US adults: a cross-section study from NHANES database.

Muxi Li, Shan Jiang, Chenxuan Dong, Deyou Jiang

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Article in BMC endocrine disorders, 2024. 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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0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Muxi LiCollege of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China.
Shan JiangCollege of Traditional Chinese Medicine, Jinan University, Guangzhou, 510632, China.
Chenxuan DongCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, 130117, China.
Deyou JiangCollege of Basic Medicine, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, 150036, China. jiangdeyou1@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have shown significant associations between individual fat-soluble vitamins (FSVs) and metabolic syndromes (MetS). However, evidence on the multiple FSVs co-exposure and MetS odds is limited. Given that individuals are typically exposed to different levels of FSVs simultaneously, and FSVs can interact with each other. It's necessary to explore the association between multiple FSVs co-exposure and MetS odds. This study aims to address this gap in general U.S. adults aged ≥ 20 years.

methodsWe conducted a cross-sectional study utilizing data from the National Health and Nutrition Examination Surveys (NHANESs) 2003-2006 and 2017-2018. Three FSV, including vitamin A (VA), vitamin E (VE), and vitamin D (VD), and MetS diagnosed according to the ATP III guidelines were selected as exposure and outcome, respectively. Multivariable-adjusted logistic model was used to explore the associations of individual FSV exposure with MetS odds and MetS components. Restricted cubic splines were performed to explore the dose-response relationships among them. The quantile g-computation method was adopted to explore the associations of multiple FSVs co-exposure with MetS odds and MetS components.

resultsThe presented study included a total of 13,975 individuals, with 2400 (17.17%) were diagnosed with MetS. After adjusting for various confounders, a positive linear pattern was observed for serum VA and VE and MetS associations. Serum VD was found to be negatively associated with MetS in a linear dose-response way. For each component of MetS, higher serum VA and VE were associated with higher triglyceride and high-density lipoprotein; higher serum VD was negatively associated with triglyceride, blood pressure, and fasting plasma glucose. MetS odds increased by 15% and 13%, respectively, in response to one quartile increase in FSVs co-exposure index (qgcomp) in the conditional model (OR = 1.15, 95%CI: 1.06, 1.24) and the marginal structural model (OR = 1.13, 95%CI: 1.06, 1.20). Besides, co-exposure to VA, VE, and VD was positively associated with triglyceride, high-density lipoprotein, and blood pressure levels.

conclusionFindings in the present study revealed that high serum VA and VE levels were associated with elevated MetS odds, while serum VD was inversely associated with MetS odds. FSVs co-exposure was positively associated with MetS odds.

Indexed as

Metabolic SyndromeNutrition SurveysVitaminsAdultCross-Sectional StudiesDatabases, FactualFemaleHumansMaleMiddle AgedUnited StatesVitamin AVitamin DVitamin EYoung AdultVitamin AVitamin DVitamin EVitaminsCo-exposureDose–response relationshipFat-soluble vitaminMetabolic syndromeQuantile g-computation

Identifiers

PMID39237954
PMCPMC11378540

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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 OpenQuestion graph.