Evidence map›Paper›PMID 37715918›Full record

ArticleBiological trace element research2024

Multi-element Exposure and Cognitive Function in Rural Elderly Chinese.

Lidan Duan, Liqin Su, Xiaohong He, Yegang Du, Yanying Duan, Ning Xu, Rangpeng Wu, Yunfeng Zhu, Ranqi Shao, Frederick W Unverzagt and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 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
1.4field-weighted citation impact, top 21% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 5 institutions in 2 countries.

Lidan DuanChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Liqin SuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China. suliqin@nieh.chinacdc.cn.
Xiaohong HeEnshi Tujia and Miao Autonomous Prefecture Center for Disease Control and Prevention, Enshi, 445000, China.
Yegang DuShenzhen Academy of Metrology & Quality Inspection, Shenzhen, 518000, China.
Yanying DuanXiangya School of Public Health, Central South University, Changsha, 410000, China.
Ning XuChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Rangpeng WuEnshi Tujia and Miao Autonomous Prefecture Center for Disease Control and Prevention, Enshi, 445000, China.
Yunfeng ZhuEnshi Tujia and Miao Autonomous Prefecture Center for Disease Control and Prevention, Enshi, 445000, China.
Ranqi ShaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Frederick W UnverzagtDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Ann M HakeDepartment of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Yinlong JinChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Sujuan GaoDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Chinese Center For Disease Control and Prevention · CNCentral South University · CNIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineShenzhen Academy of Metrology and Quality Inspection · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the relationship between selenium (Se) based multi-element combined exposure and cognitive function in rural elderly individuals, a cross-sectional study was conducted. The study involved 416 older adults aged 60 and above, residing in four different areas of Enshi county, China, with varying soil Se levels. Inductively coupled plasma mass spectrometry (ICP-MS) was employed to measure the concentrations of Se, copper (Cu), iron (Fe), zinc (Zn), calcium (Ca), magnesium (Mg), cadmium (Cd), arsenic (As), and lead (Pb) in whole blood. Nine standard cognitive tests were applied to assess cognitive function. Analysis of the least absolute shrinkage and selection operator regression (LASSO), covariance (ANCOVA), and generalized linear model (GLM) were utilized to investigate the relationship between element exposure and cognitive function. The results of LASSO revealed that Se, Cu, Fe, Zn, Ca, and Pb were independently identified to be associated with cognition. Both ANCOVA and GLM demonstrated that Se and Ca were correlated with cognitive function. The multi-element model showed higher composite Z scores of 0.32 (95% CI: 0.09 to 0.55) for log-transformed Se (P = 0.007), 0.75 (95% CI: 0.01 to 1.49) for log-transformed Cu (P = 0.048), and a lower score of - 0.67 (95% CI: - 1.26 to - 0.08) for log-transformed Ca (P = 0.025). Furthermore, there was evidence that Se could counteract the negative impact of Ca on cognitive function (P for interaction = 0.031). Our findings suggested that higher levels of Se and Cu were associated with better cognitive function in the elderly and Se can counteract the cognitive damage caused by Ca.

Indexed as

SeleniumTrace ElementsAgedCognitionCopperCross-Sectional StudiesHumansLeadZincCopperLeadSeleniumTrace ElementsZincCognitive functionCombined exposureHeavy metalOlder adultsSeleniumTrace elements

Identifiers

PMID37715918
OpenAlexW4386807594

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.