Evidence map›Paper›PMID 39633310›Full record

ArticleBMC public health2024

Serum concentrations of different or multiple vitamins and Sarcopenia risk among US adults: insights from NHANES.

Li Liu, Xueman Ding, Yue Zhang, Tingting Li, Panpan Xu, Yue Ma, Hengrui Xing, Qiang Niu, Mulatibieke Keerman

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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  3. Review
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

9 authors.

Li LiuDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Xueman DingDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Yue ZhangDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Tingting LiDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Panpan XuDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Yue MaDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Hengrui XingDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China.
Qiang NiuDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China. niuqiang@shzu.edu.cn.
Mulatibieke KeermanDepartment of Preventive Medicine, School of Medicine, Shihezi University, North 2th Road, Shihezi, 832000, Xinjiang, People's Republic of China. 464174936@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relationship between serum concentrations of different or multiple vitamins and sarcopenia remains underexplored. This investigation evaluates potential links between serum concentrations of different or multiple vitamins and sarcopenia prevalence among adults in the United States.

methodsUtilizing a cross-sectional design, this research draws from the National Health and Nutrition Examination Survey (NHANES) dataset of 2003-2006, encompassing 5,060 participants with comprehensive serum vitamin A, E, B9, B12, C, and D concentrations, alongside sarcopenia and covariate measurements. Participant stratification into distinct vitamin co-exposure clusters was achieved through K-means clustering. Analytical models, including weighted logistic regression, restricted cubic splines (RCS), weighted quantile sum regression (WQS), quantile g-computation (Q-gcomp), and Bayesian kernel machine regression (BKMR), were employed to evaluate the association between serum concentrations of different or multiple vitamins and sarcopenia risk, with an emphasis on nonlinearity.

resultsIn this study, sarcopenia was detected in 681 individuals (13.46%). Logistic regression results did not demonstrate any linear association between individual vitamin levels and sarcopenia risk (P

conclusionsThis study elucidates an inverse correlation between serum concentrations of different or multiple vitamins and sarcopenia risk, emphasizing a non-linear association, particularly with suboptimal vitamin D concentrations. Given the limitations of the NHANES study, further researches are required to clarify the existence of these relationships.

Indexed as

Nutrition SurveysSarcopeniaVitaminsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesVitaminsCombined associationNonlinear associationSarcopeniaSerum vitamins

Identifiers

PMID39633310
PMCPMC11616181

What Socratic holds

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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 Socratic graph.