Literature DB >> 34116640

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 Zhang1, Yaqi Fan1, Yuxue Wang1, Li Zhang2, Chunjun Li3, Jiangshan He1, Pei Guo1, Mianzhi Zhang4, Minying Zhang5.   

Abstract

BACKGROUND: Few 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.
METHODS: We 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.
RESULTS: A 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 106.9cm2, 23.5 to 27.1 kg/m2, 0.92 to 0.96 across the age categories in males, and 32.8 to 36.3%, 75.9 to 130.9cm2, 21.9 to 26.4 kg/m2, 0.84 to 0.95 across the age categories in females, respectively.
CONCLUSIONS: The 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.

Entities:  

Keywords:  Body mass index; Hypertension; Optimal cutoff value; Percentage of body fat; Visceral fat area; Waist-hip ratio

Year:  2021        PMID: 34116640     DOI: 10.1186/s12872-021-02100-8

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  31 in total

1.  Introduction to a compendium on hypertension.

Authors:  Giuseppe Mancia
Journal:  Circ Res       Date:  2015-03-13       Impact factor: 17.367

2.  The association between obesity indices and hypertension: Which index is the most notable indicator of hypertension in different age groups stratified by sex?

Authors:  Xiao Wu; Bo Li; Wei-Quan Lin; Ling-Ling Huang; Xiao-Xiao Wang; Li-Ying Fu; Bing-Bing Li; Pei-Xi Wang
Journal:  Clin Exp Hypertens       Date:  2018-08-10       Impact factor: 1.749

3.  Comparison of visceral and body fat indices and anthropometric measures in relation to untreated hypertension by age and gender among Chinese.

Authors:  Jicheng Jiang; Songyuan Deng; Yi Chen; Shuying Liang; Nan Ma; Yajuan Xu; Xiaolin Chen; Xiaoqin Cao; Chunhua Song; Wei Nie; Kaijuan Wang
Journal:  Int J Cardiol       Date:  2016-06-15       Impact factor: 4.164

4.  Global burden of hypertension: analysis of worldwide data.

Authors:  Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He
Journal:  Lancet       Date:  2005 Jan 15-21       Impact factor: 79.321

5.  [Self-rated hypertension and anthropometric indicators of body fat in elderly].

Authors:  Deonilde Balduíno Munaretti; Aline Rodrigues Barbosa; Maria de Fátima Nunes Marucci; Maria Lúcia Lebrão
Journal:  Rev Assoc Med Bras (1992)       Date:  2011 Jan-Feb       Impact factor: 1.209

6.  BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians.

Authors:  R Nyamdorj; Q Qiao; T H Lam; J Tuomilehto; S Y Ho; J Pitkäniemi; T Nakagami; V Mohan; E D Janus; S R G Ferreira
Journal:  Obesity (Silver Spring)       Date:  2008-04-10       Impact factor: 5.002

Review 7.  Barriers to and determinants of medication adherence in hypertension management: perspective of the cohort study of medication adherence among older adults.

Authors:  Marie A Krousel-Wood; Paul Muntner; Tareq Islam; Donald E Morisky; Larry S Webber
Journal:  Med Clin North Am       Date:  2009-05       Impact factor: 5.456

8.  Percent body fat is a better predictor of cardiovascular risk factors than body mass index.

Authors:  Qiang Zeng; Sheng-Yong Dong; Xiao-Nan Sun; Jing Xie; Yi Cui
Journal:  Braz J Med Biol Res       Date:  2012-04-19       Impact factor: 2.590

9.  Variations in aging, gender, menopause, and obesity and their effects on hypertension in taiwan.

Authors:  Shu C Chen; Tsai C Lo; Jui H Chang; Hsien W Kuo
Journal:  Int J Hypertens       Date:  2014-11-10       Impact factor: 2.420

10.  Body fat percentage, body mass index and waist-to-hip ratio as predictors of mortality and cardiovascular disease.

Authors:  Phyo Kyaw Myint; Chun Shing Kwok; Robert N Luben; Nicholas J Wareham; Kay-Tee Khaw
Journal:  Heart       Date:  2014-10       Impact factor: 5.994

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