Evidence map›Paper›PMID 38703226›Full record

ArticleEuropean journal of nutrition2024

Coffee consumption might be associated with lower potential risk and severity of metabolic syndrome: national health and nutrition examination survey 2003-2018.

He Zhao, Shuolin Wang, Yingdong Han, Menghui Yao, Yun Zhang, Xuejun Zeng

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Article in European journal of nutrition, 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
–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

3 citing papers in PubMed.

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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

6 authors.

He ZhaoDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Shuolin WangDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Yingdong HanDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Menghui YaoDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Yun ZhangDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China. zhangyun10806@pumch.cn.
Xuejun ZengDepartment of Family Medicine, Division of General Internal Medicine, Department of Medicine, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China. zxjpumch@126.com.ORCID http://orcid.org/0000-0002-6426-7586

Funding

National High-Level Hospital Clinical Research Funding Grand No.2022-PUMCH-B-044National Natural Science Foundation of China Grand No. 81901667National Natural Science Foundation of China Grand No.82071841
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a clinical syndrome characterized by multiple metabolic disorders and is a serious global health problem. The coffee effect, acting as one of the most prevalent beverages on metabolic syndrome, is debatable.

methodsWe included patients from the National Health and Nutrition Examination Survey 2003-2018 and used a comprehensive evaluation called the MetS z-score to assess the severity of metabolic syndrome. The relationship between coffee, decaffeinated coffee, tea, and MetS z-scores was explored using a weighted linear regression. We also divided the participants into metabolic and non-metabolic syndrome groups according to the NCEP/ATP III criteria for the subgroup analysis.

resultsA total of 14,504 participants were included in this study. The results demonstrated that drinking more than three cups of coffee daily was significantly linked to lower MetS z-scores (p < 0.001). Daily coffee consumption was also associated with lower BMI (p = 0.02), systolic blood pressure (p < 0.001), Homeostatic Model Assessment for Insulin Resistance (p < 0.001), and triglycerides (p < 0.001), while it was positively correlated with HDL-C (p = 0.001). Participants who consumed more than three cups of coffee daily had a lower MetS z-score in the MetS (p < 0.001) and non-MetS (p = 0.04) groups.

conclusionThis research indicates that coffee consumption is linked to MetS severity. However, decaffeinated coffee and tea intake were unrelated to MetS severity.

Indexed as

CoffeeMetabolic SyndromeNutrition SurveysSeverity of Illness IndexAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsTeaUnited StatesCoffeeTeaCaffeineCoffeeDecaffeinated coffeeMetabolic syndromeNational healthNutrition examination surveyTea

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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.