Evidence map›Paper›PMID 32411541›Full record

ArticlePeerJ2020

Association between dietary mineral nutrient intake, body mass index, and waist circumference in U.S. adults using quantile regression analysis NHANES 2007-2014.

Shan Jiang, Xiaoyu Ma, Meng Li, Shoumeng Yan, Hantong Zhao, Yingan Pan, Changcong Wang, Yan Yao, Lina Jin, Bo Li

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  7. Thermogenic Adipocytes Promote M2 Macrophage Polarization through CNNM4-Mediated Mg Secretion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

10 authors at 1 institution in 1 country.

Shan JiangDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Xiaoyu MaDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Meng LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.ORCID 0000-0001-5592-0902
Shoumeng YanDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Hantong ZhaoDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.ORCID 0000-0001-7735-9407
Yingan PanDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Changcong WangDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Yan YaoDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Lina JinDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.ORCID 0000-0002-8961-2809
Bo LiDepartment of Epidemiology and Biostatistics, Jilin University School of Public Health, Changchun, Jilin, People's Republic of China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMineral nutrients play an important role in maintaining material and energy metabolism. Reports on mineral nutrient intakes and body mass index (BMI) and waist circumference (WC) are rare in the United States. This study examined the relationship between BMI, WC and dietary mineral intakes.

methodWe used the data from National Health and Nutrition Examination Survey 2007-2014. Nutrient intakes were adjusted for energy according to the residual adjustment method. We used the quantile regression model to analyze the relationship between BMI, WC under different distributions and the average daily mineral intakes.

resultA total of 19,952 people were included in the study, including 9,879 men and 10,073 women (≥20 years old). The median BMI was 27.935 kg/m

conclusionOur results suggested that the mineral nutrient intakes were associated with BMI and WC in American adults. However, we also need to further study the longitudinal effects of mineral intakes and obesity.

Indexed as

Body Mass IndexMineral elementsQuantile regressionWaist circumference

Identifiers

PMID32411541
PMCPMC7204818
OpenAlexW3023415084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.