Evidence map›Paper›PMID 38982520›Full record

ArticleNutrition & metabolism2024

Sex- and age-specific associations of serum essential elements with diabetes among the Chinese adults: a community-based cross-sectional study.

Dongmei Wang, Hong Ye, Siyang Liu, Hualin Duan, Qintao Ma, Nanfang Yao, Zihao Gui, Genfeng Yu, Lan Liu, Heng Wan and 1 more

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Use of technology in prediabetes and precision prevention.Journal of diabetes investigation · 2025
    Review
  5. Review
  6. 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

11 authors.

Dongmei Wang *Institute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Hong Ye *Institute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Siyang Liu *Institute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Hualin DuanInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Qintao MaInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Nanfang YaoInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Zihao GuiInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Genfeng YuInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China.
Lan LiuInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China. liulan7@mail.sysu.edu.cn.
Heng WanInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China. wanhdr@163.com.
Jie ShenInstitute and Department of Endocrinology and Metabolism, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan City, 528308, Guangdong Province, China. sjiesy@smu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021A1515110682National Natural Science Foundation of China 82170800National Natural Science Foundation of China 82200960
6 · The paper itself

Abstract

backgroundAlthough several studies have found the relationship between essential elements and diabetes, the studies about the association of essential elements with diabetes diagnosed according to an oral glucose tolerance test (OGTT) and glycated hemoglobin (HbA1c) in a sex- and age-specific manner were limited. To investigate the linear and nonlinear relationship of five essential elements including iron (Fe), copper (Cu), Zinc (Zn), magnesium (Mg), and calcium (Ca) with diabetes, fasting plasma glucose (FPG), 2-h postprandial plasma glucose (PPG), and HbA1c and to evaluate the sex- and age-specific heterogeneities in these relationships.

methodsA total of 8392 community-dwelling adults were recruited to complete a questionnaire and undergo checkups of anthropometric parameters and serum levels of five metals (Fe, Cu, Zn, Mg, and Ca). The multivariable logistic and linear regression, the restricted cubic spline (RCS) analysis, and subgroup analysis were applied to find the associations between the essential elements and the prevalence of diabetes as well as FPG, PPG, and HbA1c.

resultsIn the multivariable logistic regression and multivariable linear regression, serum Cu was positively associated with FPG, PPG, and HbA1c while serum Mg was significantly inversely correlated with FPG, PPG, HbA1c, and diabetes (all P < 0.001). In the RCS analysis, the non-linear relationship of Cu and diabetes (P < 0.001) was found. In the subgroup analysis, stronger positive associations of Cu with diabetes (P for interaction = 0.027) and PPG (P for interaction = 0.002) were found in younger women.

conclusionsThese findings may lead to more appropriate approaches to essential elements supplementation in people with diabetes of different ages and sexes. However, more prospective cohort and experimental studies are needed to probe the possible mechanism of sex- and age-specific associations between serum essential elements and diabetes.

Indexed as

CopperDiabetesEssential elementsMagnesiumSex- and age-specific association

Identifiers

PMID38982520
PMCPMC11232217

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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.