Evidence map›Paper›PMID 39322923›Full record

ArticleBiological trace element research2025

The Association Between the Non-essential Metal Mixture and Handgrip Strength in Chinese Community-Dwelling Older Adults.

Yan Zhang, Ziwei Tian, Xuqiu Cheng, Bohao Fang, Qiang Liu, Junzhe Li, Yuan Wang, Hongli Wang, Xianwei Guo, Guimei Chen and 9 more

Abstract read
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In one paragraph

Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Yan Zhang *Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Ziwei Tian *Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Xuqiu Cheng *Department of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Bohao Fang *Department of Clinical Medicine, School of the Second Clinical Medicine, Anhui Medical University, Hefei, 230032, Anhui, China.
Qiang LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Junzhe LiDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Yuan WangDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Hongli WangDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Xianwei GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China.
Guimei ChenSchool of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China.
Huaibiao LiFuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China.
Liang SunFuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China.
Bing HuFuyang Center for Diseases Prevention and Control, Fuyang, 236069, Anhui, China.
Dongmei ZhangSchool of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China.
Chunmei LiangDepartment of Hygiene Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
Jie ShengScientific Research Center in Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
Fangbiao TaoAnhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China.
Jun WangDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
Linsheng YangDepartment of Epidemiology and Health Statistics, School of Public Health, Center for Big Data, Population Health of IHM, Anhui Medical University, Meishan Road 81, Hefei, 230032, Anhui, China. yanglinsheng@ahmu.edu.cn.

Funding

Clinical Medicine (5+3 Integration) Professional Early Contact Research Training Program 2023ZQKY031Follow-up and Application Study on the Changes of Disease Spectrum among Residents in Fuyang City K2021160Investigation on the Use of Microecological Agents for the Community-dwelling Older Adults in Hefei City, Anhui Province K2017062Major Projects on College Leading Talent Team Introduced of Anhui 0303011224Research Funds of Center for Big Data and Population Health of IHM JKS2022015Research on the Mechanism and Intervention of Insomnia and OSA in Community Elderly Based on Sleep Monitoring Technology K2023019the Key Scientific Research Fund of Anhui Provincial Education Department 2023AH050610
6 · The paper itself

Abstract

There is limited research on the effects of non-essential metal (NEM) mixture on handgrip strength in the elderly. This study aimed to assess the associations of single NEMs and their mixture with handgrip strength in Chinese community-dwelling older adults. A total of 3807 elderly people aged 60 years or above were included in this study. Measurement of urinary aluminum (Al), arsenic (As), barium (Ba), cadmium (Cd), and gallium (Ga) concentrations was conducted by inductively coupled plasma mass spectrometry (ICP-MS). Handgrip strength was measured using a hand dynamometer. Four statistical models, including general linear regression and generalized additive models (GAMs), as well as Bayesian kernel machine regression (BKMR) and quantile-based computation regression (QGC) models, were used to assess the individual and joint effects of urine NEMs with handgrip strength, respectively. After adjusting for covariates, Ga (ß = - 0.27; 95% CI, - 0.54 ~  - 0.01) and As (

Indexed as

Hand StrengthAgedAged, 80 and overAluminumArsenicBariumCadmiumChinaEast Asian PeopleFemaleGalliumHumansMaleMiddle AgedAluminumArsenicBariumCadmiumGalliumBKMRHandgrip strengthNon-essential metal mixtureOlder adultsQGC

Identifiers

PMID39322923

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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.