Evidence map›Paper›PMID 37626316›Full record

ArticleBMC public health2023

Association between nickel exposure and body compositions in the United States: a population-based cross-sectional study.

Xingyang Su, Zilong Zhang, Shi Qiu, Bin Zeng, Mi Yang, Xinyi Huang, Xiaoli Zou, Lu Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2023. 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
1.3field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

Xingyang Su *Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zilong Zhang *Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Shi Qiu *Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Bin ZengDepartment of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Mi YangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Xinyi HuangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Xiaoli ZouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China. zouxl_1113@163.com.
Lu YangDepartment of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China. wycleflue@163.com.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing body fat or decreasing muscle and bone mass were associated with worse health outcomes in the adult population. The effects of nickel exposure on body composition are not known. The aim of the current study was to investigate the relationship between urinary nickel levels and body compositions. MATERIALS AND

methodsTwo thousand seven hundred sixty-two participants were included in the analysis from the National Health and Nutrition Examination Surveys of 2017-2018 after excluding participants who have missing data on urinary nickel and those with missing all body mass component data. We used weighted generalized linear models to explore the relationship between urinary nickel and body mass components under interpolating missing covariable values. Simultaneously, sensitivity analyses and subgroup analysis were conducted to verify stability of analysis result. Curve fitting and saturation effect analysis were used to explore the possible nonlinear relationship between urine nickel and body compositions.

resultsAmong the 2,762 participants, the average urinary nickel level was 1.58 ug/L. The weighted generalized linear models, the sensitivity analyses and subgroup analyses found no significant linear relationship between urinary nickel and body compositions. For body weight, BMI, TLM, ALM, TRF, TOF and BMC, the urine nickel saturation effect values were 0.76, 0.74, 0.5, 0.67, 0.64, 0.48, and 0.45 ug/L, respectively. For each 1 ug/L rise in urinary nickel levels at levels below the turning point, body weight increases (β = 9.06, 95% CI = 2.75, 15.36, p = 0.01), BMI increases (β = 3.20, 95% CI = 1.36, 5.05, p =  < 0.001), TLM decreases (β = -47.39, 95% CI = -97.38, 2.59, p = 0.06), ALM decreases (β = -37.25, 95% CI = -63.25, -11.24, p = 0.01), TRF increases (β = 20.68, 95% CI = 1.50, 39.86, p = 0.03), TOF increases (β = 57.92, 95% CI = -0.12, 115.95, p = 0.05), and BMC decreases (β = -6.84, 95% CI = -12.64, -1.04, p = 0.02).

conclusionsIn summary, our study demonstrated that a dose-response relationship exists between urinary nickel and body compositions, with a low inflection point level of urinary nickel for the saturation effect.

Indexed as

Body CompositionNickelAdipose TissueAdultCross-Sectional StudiesHumansUnited StatesWeight GainNickelBody compositionNHANESNickel exposurePollutantUrinary nickel

Identifiers

PMID37626316
PMCPMC10463381
OpenAlexW4386169198

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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.