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Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018

BACKGROUND: Higher dietary quality, including increased vegetable consumption, was associated with a reduced risk of metabolic syndrome (MetS). However, specific vegetable consumption in the development of MetS remains obscure. Our study aimed to investigate the correlation between starchy and non-s...

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Autores principales: Li, Yingrui, Xiong, Bingquan, Zhu, Min, Ren, Yuqian, Lan, Yi, Hu, Tianyang, Wang, Yufan, Yang, Huiping, Liao, Zhiyin, Xiao, Kaihu, She, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472713/
https://www.ncbi.nlm.nih.gov/pubmed/37653494
http://dx.doi.org/10.1186/s12986-023-00760-1
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author Li, Yingrui
Xiong, Bingquan
Zhu, Min
Ren, Yuqian
Lan, Yi
Hu, Tianyang
Wang, Yufan
Yang, Huiping
Liao, Zhiyin
Xiao, Kaihu
She, Qiang
author_facet Li, Yingrui
Xiong, Bingquan
Zhu, Min
Ren, Yuqian
Lan, Yi
Hu, Tianyang
Wang, Yufan
Yang, Huiping
Liao, Zhiyin
Xiao, Kaihu
She, Qiang
author_sort Li, Yingrui
collection PubMed
description BACKGROUND: Higher dietary quality, including increased vegetable consumption, was associated with a reduced risk of metabolic syndrome (MetS). However, specific vegetable consumption in the development of MetS remains obscure. Our study aimed to investigate the correlation between starchy and non-starchy vegetables and MetS. METHODS: Secondary data analysis from the National Health and Nutrition Examination Survey (NHANES 1999–2018). MetS was defined by National Cholesterol Education Program-Adult treatment Panel III (NCEP ATPIII) and dietary consumption was assessed by trained staff using two 24-h diet recall methods. Weighted logistic regression analysis was carried out to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses and restricted cubic spline (RCS) regression were performed to further investigate specific vegetable subtypes and MetS. RESULTS: This research enrolled 24,646 individuals (11,725 females and 12,921 males), with an average age of 45.84 ± 0.23 years. Approximately 15,828(64.22%) participants were defined to be with non-MetS and 8818(35.78%) were with MetS. Both total starchy vegetables and potatoes were associated with increased MetS risk, with the corresponding OR per standard deviation (SD) (95%CI, p-trend) being 1.06(1.02–1.11, p-trend = 0.028) and 1.08(1.04–1.13, p-trend = 0.011), respectively. However, an inverse correlation was found between dark-green vegetables and MetS, and the OR per SD (95%CI, p-trend) was 0.93(0.90–0.97, p-trend = 0.010). Subgroup analyses showed that the positive associations of starchy vegetables and potatoes on MetS risk were stronger in non-Hispanic White participants (p for interaction < 0.050). CONCLUSION: Total starchy vegetables and white potatoes were both associated with an increased risk of MetS, while consumption of dark-green vegetables was negatively associated with MetS risk. These findings might provide a promising and healthy dietary strategy for preventing MetS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-023-00760-1.
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spelling pubmed-104727132023-09-02 Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018 Li, Yingrui Xiong, Bingquan Zhu, Min Ren, Yuqian Lan, Yi Hu, Tianyang Wang, Yufan Yang, Huiping Liao, Zhiyin Xiao, Kaihu She, Qiang Nutr Metab (Lond) Research BACKGROUND: Higher dietary quality, including increased vegetable consumption, was associated with a reduced risk of metabolic syndrome (MetS). However, specific vegetable consumption in the development of MetS remains obscure. Our study aimed to investigate the correlation between starchy and non-starchy vegetables and MetS. METHODS: Secondary data analysis from the National Health and Nutrition Examination Survey (NHANES 1999–2018). MetS was defined by National Cholesterol Education Program-Adult treatment Panel III (NCEP ATPIII) and dietary consumption was assessed by trained staff using two 24-h diet recall methods. Weighted logistic regression analysis was carried out to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses and restricted cubic spline (RCS) regression were performed to further investigate specific vegetable subtypes and MetS. RESULTS: This research enrolled 24,646 individuals (11,725 females and 12,921 males), with an average age of 45.84 ± 0.23 years. Approximately 15,828(64.22%) participants were defined to be with non-MetS and 8818(35.78%) were with MetS. Both total starchy vegetables and potatoes were associated with increased MetS risk, with the corresponding OR per standard deviation (SD) (95%CI, p-trend) being 1.06(1.02–1.11, p-trend = 0.028) and 1.08(1.04–1.13, p-trend = 0.011), respectively. However, an inverse correlation was found between dark-green vegetables and MetS, and the OR per SD (95%CI, p-trend) was 0.93(0.90–0.97, p-trend = 0.010). Subgroup analyses showed that the positive associations of starchy vegetables and potatoes on MetS risk were stronger in non-Hispanic White participants (p for interaction < 0.050). CONCLUSION: Total starchy vegetables and white potatoes were both associated with an increased risk of MetS, while consumption of dark-green vegetables was negatively associated with MetS risk. These findings might provide a promising and healthy dietary strategy for preventing MetS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-023-00760-1. BioMed Central 2023-08-31 /pmc/articles/PMC10472713/ /pubmed/37653494 http://dx.doi.org/10.1186/s12986-023-00760-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Yingrui
Xiong, Bingquan
Zhu, Min
Ren, Yuqian
Lan, Yi
Hu, Tianyang
Wang, Yufan
Yang, Huiping
Liao, Zhiyin
Xiao, Kaihu
She, Qiang
Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title_full Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title_fullStr Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title_full_unstemmed Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title_short Associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the NHANES 1999–2018
title_sort associations of starchy and non-starchy vegetables with risk of metabolic syndrome: evidence from the nhanes 1999–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472713/
https://www.ncbi.nlm.nih.gov/pubmed/37653494
http://dx.doi.org/10.1186/s12986-023-00760-1
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