Evidence map›Paper›PMID 34116640›Full record

ArticleBMC cardiovascular disorders2021

Comparison of bioelectrical body and visceral fat indices with anthropometric measures and optimal cutoffs in relation to hypertension by age and gender among Chinese adults.

Binbin Zhang, Yaqi Fan, Yuxue Wang, Li Zhang, Chunjun Li, Jiangshan He, Pei Guo, Mianzhi Zhang, Minying Zhang

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Anthropometric, Bioelectric, and Visceral Fat Indices to Predict Hypertension in Rural Rohtak, Haryana.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

9 authors at 4 institutions in 1 country.

Binbin ZhangSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Yaqi FanSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Yuxue WangSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Li ZhangTianjin First Central Hospital, Tianjin, China.
Chunjun LiTianjin Union Medical Center, Tianjin, China.
Jiangshan HeSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Pei GuoSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China.
Mianzhi ZhangDongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Minying ZhangSchool of Medicine, Nankai University, 94, Weijin Road, Tianjin, 300071, China. Zhangminying@nankai.edu.cn.
Nankai University · CNBeijing University of Chinese Medicine · CNTianjin First Center Hospital · CNTianjin People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have compared bioelectrical body and visceral fat indices with anthropometric measures, or evaluated their optimal cutoffs in relation to hypertension among Asians. We compared the efficiencies of bioelectrical indices (percentage of body fat, PBF; visceral fat area, VFA) with anthropometric measures (body mass index, BMI; waist-hip ratio, WHR) for hypertension and re-evaluated the optimal cutoffs of each index by age and gender.

methodsWe conducted a cross-sectional survey among 8234 adults for health examination. PBF, VFA, BMI, WHR, and data on hypertension and behaviors were collected. Receiver operating characteristic (ROC) curve and areas under curves (AUCs) were used to analyze the efficiencies of the indices for hypertension, optimal cutoffs were estimated using the Youden index.

resultsA total of 8234 individuals aged 21-91 with median age 44 (interquartile range [IQR] 33-56) years were included and 40.56% were men. The overall prevalence of hypertension was 27.47%. The studied indices were all associated with hypertension in all age-specific groups both among men and women except for WHR in 21-29 years old men and PBF in in 21-29 years old women. Among males, there were no statistical differences in powers of four indices for hypertension in all age-specific groups, except for 40-49 years, in which WHR was better than VFA. Among females, no differences were found among the indices in 30-39 and 70-79 years groups, while WHR was the best in 21-29 years group, VFA was better than PBF in 30-39 and 50-59 years groups, BMI was better than PBF and WHR in 60-69 years group. The optimal cutoffs of PBF, VFA, BMI and WHR ranged from 23.9 to 28.7%, 86.4 to 106.9cm

conclusionsThe obesity indices' efficiencies for hypertension varied by age and gender, and their cutoff values varied across the age categories and gender. Specific indices and cutoffs based on person's age and gender should be used to identify individuals with hypertension.

Indexed as

AdiposityAnthropometryAdultAgedAged, 80 and overAge DistributionAge FactorsBlood PressureChinaCross-Sectional StudiesElectric ImpedanceFemaleHealth SurveysHumansHypertensionIntra-Abdominal FatBody mass indexHypertensionOptimal cutoff valuePercentage of body fatVisceral fat areaWaist-hip ratio

Identifiers

PMID34116640
PMCPMC8196495
OpenAlexW3168699845

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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.