Evidence map›Paper›PMID 37653494›Full record

ArticleNutrition & metabolism2023

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

Yingrui Li, Bingquan Xiong, Min Zhu, Yuqian Ren, Yi Lan, Tianyang Hu, Yufan Wang, Huiping Yang, Zhiyin Liao, Kaihu Xiao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Yingrui Li *Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Bingquan Xiong *Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Min Zhu *Department of Geriatrics, The First People's Hospital of Neijiang, No. 31 Tuozhong lane, Jiaotong road, Neijiang, Sichuan, 641000, China.
Yuqian Ren *Department of Health Management Center, Chongqing University Three Gorges Hospital, No. 165 Xincheng Road, Wanzhou District, Chongqing, 404000, China.
Yi LanDepartment of Pneumology, Songshan Hospital, No. 69 Star Road, Liangjiang New District, Chongqing, 401122, China.
Tianyang HuDepartment of Precision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Yufan WangDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Huiping YangDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Zhiyin LiaoDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Kaihu XiaoDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China.
Qiang SheDepartment of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No.74, Linjiang Road, Chonqing, 400010, China. qshe98@cqmu.edu.cn.
Chongqing Medical University · CNDalian Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CNChongqing University · CNNeijiang Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigher 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.

methodsSecondary 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.

resultsThis 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).

conclusionTotal 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.

Indexed as

Metabolic syndromeNutritionPotatoesRiskVegetables

Identifiers

PMID37653494
PMCPMC10472713
OpenAlexW4386331806

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.