Associations of dietary vitamin B1, vitamin B2, niacin, vitamin B6, vitamin B12 and folate equivalent intakes with metabolic syndrome.


Journal

International journal of food sciences and nutrition
ISSN: 1465-3478
Titre abrégé: Int J Food Sci Nutr
Pays: England
ID NLM: 9432922

Informations de publication

Date de publication:
Sep 2020
Historique:
pubmed: 29 1 2020
medline: 17 6 2021
entrez: 29 1 2020
Statut: ppublish

Résumé

The study used the data from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 to analyse the relationship of dietary vitamin B1, B2, niacin, B6, B12 and dietary folate equivalent (DEF) intakes with metabolic syndrome. In the multivariate-adjusted model 2, compared with the lowest quartile of dietary intake, the odd ratios (ORs;95% confidence intervals (CIs)) were 0.73 (0.59-0.91), 0.76 (0.61-0.95), 0.76 (0.59-0.98) and 0.77 (0.62-0.96) for the highest quartile of vitamin B1, niacin, B6 and DFE, respectively. The ORs (95%CIs) for the third and the highest quartile of vitamin B2 were 0.78 (0.61-0.99) and 0.62 (0.47-0.83). A linear inverse relationship was found between dietary vitamin B1, niacin, B6, DFE and metabolic syndrome, and a non-linear inverse relationship was found between dietary vitamin B2 and metabolic syndrome. Our results suggested that higher intake of vitamin B1, B2, niacin, B6 and DFE were all associated with reduced risk of metabolic syndrome.

Identifiants

pubmed: 31986943
doi: 10.1080/09637486.2020.1719390
doi:

Substances chimiques

Niacin 2679MF687A
Vitamin B 6 8059-24-3
Folic Acid 935E97BOY8
Vitamin B 12 P6YC3EG204
Riboflavin TLM2976OFR
Thiamine X66NSO3N35

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

738-749

Auteurs

Yanjun Wu (Y)

Department of Epidemiology and Health Statistics, College of Public Health of Qingdao University, Qingdao, People's Republic of China.

Suyun Li (S)

Department of Epidemiology and Health Statistics, College of Public Health of Qingdao University, Qingdao, People's Republic of China.

Weijing Wang (W)

Department of Epidemiology and Health Statistics, College of Public Health of Qingdao University, Qingdao, People's Republic of China.

Dongfeng Zhang (D)

Department of Epidemiology and Health Statistics, College of Public Health of Qingdao University, Qingdao, People's Republic of China.

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Classifications MeSH