Evidence map›Paper›PMID 38453332›Full record

ArticleEpidemiology and health2024

Predictive ability of the Chinese visceral adiposity index for incident hypertension in working-aged Koreans.

Ju Young Jung, Chang-Mo Oh, Hyun Chul Jo, Sung Keun Park

Abstract read
In one paragraph

Article in Epidemiology and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  5. Assessment of six surrogate insulin resistance indexes for predicting hypertension risk in rural Chinese adults.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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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

4 authors.

Ju Young JungTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Chang-Mo OhDepartments of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea.
Hyun Chul JoDepartments of Internal Medicine, Jo Hyun Chul Private Clinic, Gimpo, Korea.
Sung Keun ParkTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Chinese visceral adiposity index (CVAI) was developed to assess visceral adipose tissue in the Asian population. This study evaluated the predictive ability of the CVAI for incident hypertension in Korean adults.

methodsThe study participants included 128,577 Koreans without hypertension. They were grouped in quartiles according to body mass index (BMI), waist circumference (WC), visceral adipose index (VAI), and CVAI values. The Cox proportional hazard assumption was used to evaluate the hazard ratio (HR) and 95% confidence interval (CI) for incident hypertension (adjusted HR [95% CI]) according to quartile level across a follow-up period of 6.9 years. Subgroup analyses were conducted by gender and obesity. The area under the curve was calculated to compare the predictive abilities of all indices (BMI, WC, VAI, and CVAI) for incident hypertension.

resultsThe CVAI was proportionally associated with the risk of hypertension in all participants (quartile 1: reference; quartile 2: 1.71 [95% CI, 1.59 to 1.82]; quartile 3: 2.41 [95% CI, 2.25 to 2.58]; and quartile 4: 3.46 [95% CI, 3.23 to 3.71]). Time dependent receiver operating characteristic curve analysis indicated that the CVAI was superior to BMI, WC, and VAI in predicting hypertension at the 2-year, 4-year, 6-year, and 8-year follow-ups. This finding was also observed in the gender and obesity subgroups. The predictive ability of the CVAI was greater in the women and non-obese subgroups than in the men and obese subgroups.

conclusionsThe CVAI was a stronger predictor of hypertension than BMI, WC, and VAI.

Indexed as

HypertensionIntra-Abdominal FatAdiposityAdultBody Mass IndexEast Asian PeopleFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRepublic of KoreaWaist CircumferenceBody mass indexChinese visceral adipose indexHypertensionVisceral adipose indexWaist circumference

Identifiers

PMID38453332
PMCPMC11176715

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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.