Evidence map›Paper›PMID 35276768›Full record

ArticleNutrients2022

Dietary Copper Intake and Risk of Stroke in Adults: A Case-Control Study Based on National Health and Nutrition Examination Survey 2013-2018.

Lixiang Yang, Xun Chen, Huilin Cheng, Lihua Zhang

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

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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

53 citing papers in PubMed.

  1. Review
  2. Article
  3. The Yin and Yang of copper in cardiovascular health and disease.Molecular and cellular biochemistry · 2026
    Review
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  15. Observational
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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

4 authors.

Lixiang YangDepartment of Neurosurgery, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Xun ChenDepartment of Cognitive Neurolinguistics, School of Foregin Language, East China University of Science and Techonology, Shanghai 200237, China.
Huilin ChengDepartment of Neurosurgery, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.ORCID 0000-0002-9107-6179
Lihua ZhangDepartment of Pathology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.

Funding

National Natural Science Foundation of China 82071393
6 · The paper itself

Abstract

The association between dietary copper intake and the risk of stroke is unknown. We included a total of 10,550 participants from the National Health and Nutrition Examination Survey (NHANES) 2013−2018. Two 24-h dietary recalls and a standard questionnaire were used to determine copper intake and stroke, respectively. We used logistic regression models to estimate the associations between dietary copper intake and the risk of stroke. The nearest-neighbor propensity score matching (PSM) with a ratio of 1:2 was used to reduce selection bias. The non-linear relationship was explored with restricted cubic splines (RCS). The correlation between copper intake and baseline characteristics was detected by the Pearson correlation coefficient. The median dietary copper intake was 1.072 mg/day (IQR = 1.42−0.799). Approximately 3.8% (399) of the participants had a history of stroke. A multivariate logistic regression analysis before and after matching showed that subjects in the higher quartile had significantly lower odds of stroke compared with subjects in the first quartile of copper intake. A stratified analysis showed that copper intake was a significant protective factor for women, individuals <65 years old, individuals with hypertension, individuals who smoke, and diabetic stroke patients. The RCS models showed an L-shaped nonlinear relationship (p for nonlinear < 0.001) between copper intake and stroke. Our results suggested that increased dietary copper intake was associated with a lower risk of stroke.

Indexed as

CopperStrokeAdultAgedCase-Control StudiesFemaleHumansLogistic ModelsNutrition SurveysCopperdietary copper intakehealth riskpropensity score matchingrestricted cubic splinestroke

Identifiers

PMID35276768
PMCPMC8839334

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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.