Evidence map›Paper›PMID 32760432›Full record

ArticleNutrition & metabolism2020

Vitamin D deficiency and metabolic syndrome in elderly Chinese individuals: evidence from CLHLS.

Ling Liu, Zhaojin Cao, Feng Lu, Yingchun Liu, Yuebin Lv, Yingli Qu, Heng Gu, Chengcheng Li, Jiayi Cai, Saisai Ji and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  13. Vitamin D effects onFrontiers in cellular and infection microbiology · 2024
    Article
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  15. Oman medical journal · 2024
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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

13 authors at 2 institutions in 1 country.

Ling LiuNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Zhaojin CaoNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Feng LuBeijing Municipal Health Commission Information Center, (Beijing Municipal Health Commission Policy Research Center), Beijing, 100034 China.
Yingchun LiuNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Yuebin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Yingli QuNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Heng GuNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Chengcheng LiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Jiayi CaiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Saisai JiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Yawei LiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Feng ZhaoNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Xiaoming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, #29 Nanwei Road, Xicheng, Beijing, 100050 China.
Chinese Center For Disease Control and Prevention · CNBeijing Municipal Education Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBoth low vitamin D status and metabolic syndrome (MetS) are worldwide concerns, and low 25-hydroxyvitamin D [25(OH)D] levels are associated with MetS; however, related epidemiological evidence based on elderly Chinese individuals, especially those over 80 years of age, is limited. In the present study, we aimed to evaluate the association between serum 25(OH)D and MetS in elderly Chinese individuals.

methodSerum 25(OH)D was measured in a cross-sectional sample of 2493 elderly people aged 65-112 years from eight areas of China in which the density of centenarians is exceptionally high. MetS was diagnosed according to blood pressure, lipid, and blood sugar levels; waist circumference; and body mass index (BMI). Adjusted multivariable logistic regression was used to analyze the associations between vitamin D and MetS based on different diagnostic criterias.

resultsA total of 890 (35.7%) of the recruited elderly individuals had insufficient levels of vitamin D, and 1029 participants (41.3%) were vitamin D deficient. High serum vitamin D concentrations were associated with a low prevalence of MetS according to the modified Adult Treatment Panel III (ATP III) criteria for adequate versus deficient vitamin D levels (OR: 0.63, 95% CI: 0.45, 0.88) and inadequate versus deficient vitamin D levels (OR: 0.70, 95% CI: 0.52, 0.92). Each 10 ng/ml increase in serum vitamin D was significantly associated with a decreased prevalence of MetS according to the modified ATP III criteria for people with normal waist circumference (WC) (OR: 0.55, 95% CI: 0.43,0.71). However, no significant statistical correlation was found among elderly people with a high WC. Additionally, in the analysis of the individual components, the ORs of adequate versus deficient vitamin D levels were 0.46 (95% CI: 0.30, 0.71) for elevated triglycerides and 0.64 (95% CI: 0.42, 0.97) for reduced high-density lipoprotein cholesterol (HDL-C) after adjustment for other components.

conclusionsVitamin D deficiency is very common among elderly Chinese individuals. Vitamin D deficiency may be a risk factor for MetS; however, the association was only statistically significant among elderly people with noncentral obesity. Further studies are needed to examine the causal direction of the association.

Indexed as

Chinese elderly peopleElevated waist circumferenceMetabolic syndromeVitamin D

Identifiers

PMID32760432
PMCPMC7391611
OpenAlexW3045767150

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.