Evidence map›Paper›PMID 34176509›Full record

ArticleNutrition & metabolism2021

Association of whole blood copper, magnesium and zinc levels with metabolic syndrome components in 6-12-year-old rural Chinese children: 2010-2012 China National Nutrition and Health Survey.

Huidi Zhang, Qingqing Man, Pengkun Song, Siran Li, Xiaobing Liu, Lijuan Wang, Yuqian Li, Yichun Hu, Lichen Yang

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
  5. Contaminant Metals and Cardiovascular Health.Journal of cardiovascular development and disease · 2023
    Review
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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

9 authors at 2 institutions in 1 country.

Huidi Zhang *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Qingqing Man *National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Pengkun SongNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Siran LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Xiaobing LiuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Lijuan WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Yuqian LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Yichun HuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China.
Lichen YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing, People's Republic of China. yanglc@ninh.chinacdc.cn.ORCID http://orcid.org/0000-0002-2691-0411
National Health and Family Planning Commission · CNChinese Center For Disease Control and Prevention · CN

Funding

Study of Diet and Nutrition Assessment and Intervention Technology No.2020YFC2006302
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is significantly associated with the risk of cardiovascular disease and its prevalence is showing a trend of getting younger. Previous studies on the relationship between elements and MetS were mostly reported in adults with single element analysis, while reports in children with combined effects of multiple elements were very limited. The aim of this study is to investigate the association between whole blood Cu, Mg and Zn in both single and combined effects and MetS components in rural Chinese children aged 6-12 years based on the data from 2010-2012 China National Nutrition and Health Survey.

methodsA total of 911 children (51.2% male, 48.7% female) aged 6-12 years were included. Basic characteristics and MetS component parameters were collected and determined by trained stuffs. Elements were detected by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Multivariate logistic regression analysis was performed to examine the independent relationship between elements and MetS components.

resultsIn single metal analysis, copper was positively associated with elevated waist (OR = 2.00, 1.18-3.28) and all of the metals were associated with elevated TG. And the comprehensive analysis of multiple elements were mostly consistent with the results of single element analysis (low Cu + high Zn with elevated TG (OR = 2.21, 1.18-4.13), high Cu + low Mg with elevated TG (OR = 0.40, 0.16-0.95), high Cu + high Mg with elevated waist (OR = 2.03, 1.26-3.27)), except the combination of Zn and Mg (high Zn + low Mg with reduced HDL-C (OR = 0.47, 0.28-0.77)).

conclusionsOur study suggested Cu, Zn and Mg in children are indeed associated with metabolic syndrome components, whether in single element or multi-element combined analysis. The results will be confirmed through additional cohort research.

Indexed as

Chinese childrenCopperMagnesiumMetS componentsWhole bloodZinc

Identifiers

PMID34176509
PMCPMC8237488
OpenAlexW3121020369

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.