Evidence map›Paper›PMID 39600610›Full record

ArticleFrontiers in cardiovascular medicine2024

Correlation between weight-adjusted-waist index and hypertension in the US population: based on data from NHANES 2005-2018.

Anwu Huang, Bin Lin, Zhuyin Jia, Xiaojun Ji, Yalong Chen

Abstract read
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Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

5 authors.

Anwu HuangDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.
Bin LinDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.
Zhuyin JiaDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.
Xiaojun JiDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.
Yalong ChenDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the association between the weight-adjusted waist index (WWI) and the prevalence of hypertension in U.S. adults. Methods: Data were sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2018. In our cross-sectional study, we focused on the non-institutional U.S. population over the age of 18 from various communities in the United States. WWI is derived by dividing waist circumference by the square root of body weight. The definition of hypertension was based on self-reported history of hypertension, antihypertensive drug use, and blood pressure measurements. Participants without complete information on WWI and hypertension were excluded. The independent relationship and consistency between WWI and hypertension were assessed through weighted multivariate regression. The Pearson correlation test was used to detect the association between WWI and BMI. Subgroup analyses were used to verify the stability of the relationship between WWI and the prevalence of hypertension, and interaction tests were also conducted by gender, age, smoking, and triglycerides. Results: Among the 37,299 participants included, the hypertension prevalence was 33.9%. After adjusting for confounding variables, WWI demonstrated a significant association with hypertension. Individuals in the top quarter of WWI had a 2.27fold higher chance of hypertension prevalence compared with the bottom quarter (OR = 2.27, 95% CI 1.97-2.61; Conclusion: The findings underscore a robust correlation between elevated WWI and a heightened risk of hypertension, especially in males aged ≤60 years.

Indexed as

cross-sectional studyhypertensionNHANESobesityweight-adjusted-waist index

Identifiers

PMID39600610
PMCPMC11588733

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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.