Literature DB >> 34795521

Which anthropometric and metabolic index is superior in hypertension prediction among overweight/obese adults?

Maryam Abolhasani1, Nastaran Maghbouli2, Jemal Haidar Ali3, Shahrokh Karbalai Saleh4, Ziba Aghsaeifar5, Faeze Sazgara6, Maryam Tahmasebi7, Haleh Ashraf8.   

Abstract

BACKGROUND: Although the effectiveness of some combined anthropometric and metabolic scores were evaluated in hypertension prediction, none of them had addressed their accuracy in association with overweight/obese populations. This study examined the accuracy of several anthropometric parameters in this regard and compared the novel indices to the ancient ones.
METHODS: Through a cross-sectional study, 5115 patients have been evaluated at the weight loss clinic. Data on demographic information, anthropometric indices, and biochemical measurements were assembled into a checklist. Multivariable regression modeling and the area under the receiver-operating characteristic (ROC) were analyzed using SPSS version 20. To find new combined scores, SEM (structural equation modeling) analysis was also adopted. P-values < 0.05 were considered statistically significant.
RESULTS: Considering ancient indices, WHtR (waist-to-height ratio) showed a sufficient area under the curve in predicting hypertension among both genders concomitant with WC (waist circumference) in men, and BRI (body roundness index) in women as highest AUC. The highest odds ratio (OR) for the presence of hypertension, based on the age-adjusted model, was BRI in females (OR, 3.335; 95% confidence interval [CI], 1.58-7.28) and WC in males (OR, 13.478; 95% CI: 1.99-45.02). The combined scores were not superior to the single ones.
CONCLUSION: The most powerful association between hypertension and sufficient discrimination ability of normotensives from hypertensive patients was detected for BRI in women and WC among men. However, neither the BSI and BAI nor FMI and FFMI showed superiority to WC or WHtR in predicting the presence of hypertension.
© 2021 Abolhasani et al.

Entities:  

Keywords:  Iran; anthropometric indices; hypertension; novel indices; obesity; prediction

Year:  2021        PMID: 34795521      PMCID: PMC8593692          DOI: 10.2147/IBPC.S340664

Source DB:  PubMed          Journal:  Integr Blood Press Control        ISSN: 1178-7104


  37 in total

1.  Comparison of anthropometric and body composition measures as predictors of components of the metabolic syndrome in a clinical setting.

Authors:  Stephen J Mooney; Aileen Baecker; Andrew G Rundle
Journal:  Obes Res Clin Pract       Date:  2013 Jan-Feb       Impact factor: 2.288

2.  Influence of lean body-mass index versus that of fat mass index on blood pressure of gujarati school going adolescents.

Authors:  Vivek Verma; S K Sinah
Journal:  Indian J Physiol Pharmacol       Date:  2014 Jan-Mar

Review 3.  Obesity, kidney dysfunction and hypertension: mechanistic links.

Authors:  John E Hall; Jussara M do Carmo; Alexandre A da Silva; Zhen Wang; Michael E Hall
Journal:  Nat Rev Nephrol       Date:  2019-06       Impact factor: 28.314

4.  Validity of cardiometabolic index, lipid accumulation product, and body adiposity index in predicting the risk of hypertension in Chinese population.

Authors:  Haoyu Wang; Yintao Chen; Guozhe Sun; Pengyu Jia; Hao Qian; Yingxian Sun
Journal:  Postgrad Med       Date:  2018-03-01       Impact factor: 3.840

5.  The "lipid accumulation product" performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison.

Authors:  Henry S Kahn
Journal:  BMC Cardiovasc Disord       Date:  2005-09-08       Impact factor: 2.298

6.  A novel quantitative body shape score for detecting association between obesity and hypertension in China.

Authors:  Shukang Wang; Yanxun Liu; Fangyu Li; Hongying Jia; Longjian Liu; Fuzhong Xue
Journal:  BMC Public Health       Date:  2015-01-17       Impact factor: 3.295

7.  Associations of anthropometric adiposity indexes with hypertension risk: A systematic review and meta-analysis including PURE-China.

Authors:  Guijuan Deng; Lu Yin; Weida Liu; Xiaoyun Liu; Quanyong Xiang; Zhenzhen Qian; Juntao Ma; Hui Chen; Yang Wang; Bo Hu; Wei Li; Yu Jiang
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

8.  Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Marie Ng; Tom Fleming; Margaret Robinson; Blake Thomson; Nicholas Graetz; Christopher Margono; Erin C Mullany; Stan Biryukov; Cristiana Abbafati; Semaw Ferede Abera; Jerry P Abraham; Niveen M E Abu-Rmeileh; Tom Achoki; Fadia S AlBuhairan; Zewdie A Alemu; Rafael Alfonso; Mohammed K Ali; Raghib Ali; Nelson Alvis Guzman; Walid Ammar; Palwasha Anwari; Amitava Banerjee; Simon Barquera; Sanjay Basu; Derrick A Bennett; Zulfiqar Bhutta; Jed Blore; Norberto Cabral; Ismael Campos Nonato; Jung-Chen Chang; Rajiv Chowdhury; Karen J Courville; Michael H Criqui; David K Cundiff; Kaustubh C Dabhadkar; Lalit Dandona; Adrian Davis; Anand Dayama; Samath D Dharmaratne; Eric L Ding; Adnan M Durrani; Alireza Esteghamati; Farshad Farzadfar; Derek F J Fay; Valery L Feigin; Abraham Flaxman; Mohammad H Forouzanfar; Atsushi Goto; Mark A Green; Rajeev Gupta; Nima Hafezi-Nejad; Graeme J Hankey; Heather C Harewood; Rasmus Havmoeller; Simon Hay; Lucia Hernandez; Abdullatif Husseini; Bulat T Idrisov; Nayu Ikeda; Farhad Islami; Eiman Jahangir; Simerjot K Jassal; Sun Ha Jee; Mona Jeffreys; Jost B Jonas; Edmond K Kabagambe; Shams Eldin Ali Hassan Khalifa; Andre Pascal Kengne; Yousef Saleh Khader; Young-Ho Khang; Daniel Kim; Ruth W Kimokoti; Jonas M Kinge; Yoshihiro Kokubo; Soewarta Kosen; Gene Kwan; Taavi Lai; Mall Leinsalu; Yichong Li; Xiaofeng Liang; Shiwei Liu; Giancarlo Logroscino; Paulo A Lotufo; Yuan Lu; Jixiang Ma; Nana Kwaku Mainoo; George A Mensah; Tony R Merriman; Ali H Mokdad; Joanna Moschandreas; Mohsen Naghavi; Aliya Naheed; Devina Nand; K M Venkat Narayan; Erica Leigh Nelson; Marian L Neuhouser; Muhammad Imran Nisar; Takayoshi Ohkubo; Samuel O Oti; Andrea Pedroza; Dorairaj Prabhakaran; Nobhojit Roy; Uchechukwu Sampson; Hyeyoung Seo; Sadaf G Sepanlou; Kenji Shibuya; Rahman Shiri; Ivy Shiue; Gitanjali M Singh; Jasvinder A Singh; Vegard Skirbekk; Nicolas J C Stapelberg; Lela Sturua; Bryan L Sykes; Martin Tobias; Bach X Tran; Leonardo Trasande; Hideaki Toyoshima; Steven van de Vijver; Tommi J Vasankari; J Lennert Veerman; Gustavo Velasquez-Melendez; Vasiliy Victorovich Vlassov; Stein Emil Vollset; Theo Vos; Claire Wang; XiaoRong Wang; Elisabete Weiderpass; Andrea Werdecker; Jonathan L Wright; Y Claire Yang; Hiroshi Yatsuya; Jihyun Yoon; Seok-Jun Yoon; Yong Zhao; Maigeng Zhou; Shankuan Zhu; Alan D Lopez; Christopher J L Murray; Emmanuela Gakidou
Journal:  Lancet       Date:  2014-05-29       Impact factor: 79.321

9.  Overweight and obesity and related factors in urban Iranian population aged between 20 to 84 years.

Authors:  B Moghimi-Dehkordi; A Safaee; M Vahedi; A Pourhoseingholi; Ma Pourhoseingholi; S Ashtari; Mr Zali
Journal:  Ann Med Health Sci Res       Date:  2013-04

10.  Body mass index, waist circumference, body adiposity index, and risk for type 2 diabetes in two populations in Brazil: general and Amerindian.

Authors:  Rafael de Oliveira Alvim; Carlos Alberto Mourao-Junior; Camila Maciel de Oliveira; José E Krieger; José G Mill; Alexandre C Pereira
Journal:  PLoS One       Date:  2014-06-17       Impact factor: 3.240

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