Evidence map›Paper›PMID 39879185›Full record

ArticlePloS one2025

Relationships between multivitamins, blood biochemistry markers, and BMC and BMD based on RF: A cross-sectional and population-based study of NHANES, 2017-2018.

Lijuan Xu, Mengqi Wu, Ying Zhang, Hongsheng Kun, Jiangbao Xu

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Lijuan XuJianshan People's Hospital, Jiaxing, Zhejiang Province, China.ORCID 0000-0002-4924-9785
Mengqi WuCenter for Reproductive Medicine, Department of Pediatrics, Zhejiang Provincial People's Hospital, Xiacheng, Hangzhou, P.R. China.
Ying ZhangCenter for Reproductive Medicine, Department of Pediatrics, Zhejiang Provincial People's Hospital, Xiacheng, Hangzhou, P.R. China.
Hongsheng KunThe Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.
Jiangbao XuThe Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have separately suggested a possible association between the vitamin exposure, blood biochemical indicators, and bone density. Our study aimed to investigate the relationship between vitamin exposure serum concentrations, blood biochemical indicator serum concentrations, and BMC and BMD using the NHANES 2017-2018 nutrient survey data. This population-based cross-sectional study aimed to explore these associations.

methodsIn this study, we measured vitamin serum concentrations, serum ion serum concentrations, and serum biochemical indicators in adults participating in the NHANES. Skeletal status was assessed by evaluating BMC and BMD in the whole body. Given the inclusion of multiple variables and diverse data types, we used the RF to fit a multivariable model to estimate the associations between vitamin serum concentrations, blood biochemical indicator serum concentrations, and skeletal status.

resultsUnder the dimension reduction and comparison selection of RF model, we identified ALP, CPK, and creatinine serum concentrations as the most important factors associated with BMC and BMD in multiple skeletal sites, and the gender, age, height, weight, and body mass index which were found to be related to BMC and BMD in different skeletal sites. Vitamin D and blood calcium serum concentrations were not the important factors associated with BMC and BMD and the three blood biochemical indexes were more important than the vitamin level for BMC and BMD.

conclusionThe effect of vitamin serum concentrations and blood calcium serum concentrations on human bone density was not significant. ALP, CPK and creatinine serum concentrations body development indicators were identified as the most important factors related to bone status. The RF model can be used to comprehensively evaluate the effects of vitamin content and blood biochemistry serum concentrations in adults on BMC and BMD.

Indexed as

BiomarkersBone DensityVitaminsAdultAgedCalciumCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysVitamin DYoung AdultBiomarkersCalciumVitamin DVitamins

Identifiers

PMID39879185
PMCPMC11778711

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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.