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Cited by in CrossRef
For: Midha T, Krishna V, Nath B, Kumari R, Rao YK, Pandey U, Kaur S. Cut-off of body mass index and waist circumference to predict hypertension in Indian adults. World J Clin Cases 2014; 2(7): 272-278 [PMID: 25032202 DOI: 10.12998/wjcc.v2.i7.272]
URL: https://www.wjgnet.com/2308-3840/full/v2/i7/272.htm
Number Citing Articles
1
Taiwo Hussean Raimi, Samuel Ayokunle Dada. Lower BMI cut-off than the World Health Organization-based classification is appropriate for NigeriansJournal of Diabetes and Endocrinology 2018; 9(1): 1 doi: 10.5897/JDE2017.0117
2
Ingrid S. K. Krishnadath, Vincent W. V. Jaddoe, Lenny M. Nahar-van Venrooij, Jerry R. Toelsie. Ethnic differences in prevalence and risk factors for hypertension in the Suriname Health Study: a cross sectional population studyPopulation Health Metrics 2016; 14(1) doi: 10.1186/s12963-016-0102-4
3
Toriola Oluwatoyin Olabiji. Screening for Risk Factors of Cardiometabolic Disease Among Female University Students in Riyadh, Saudi ArabiaThe Open Public Health Journal 2017; 10(1): 90 doi: 10.2174/1874944501710010090
4
Rathina Srinivasa Ragavan, Jordan Ismail, Roger G. Evans, Velandai K. Srikanth, Matthew Kaye, Rohina Joshi, Kavumpurathu R. Thankappan, Clara K. Chow, Michaela A. Riddell, Brian Oldenburg, Ajay Mahal, Kartik Kalyanram, Kamakshi Kartik, Oduru Suresh, Nihal Thomas, Gomathyamma K. Mini, Pallab K. Maulik, Simin Arabshahi, Amanda G. Thrift. Combining general and central measures of adiposity to identify risk of hypertension: a cross-sectional survey in rural IndiaObesity Research & Clinical Practice 2023; 17(3): 249 doi: 10.1016/j.orcp.2023.04.005
5
Qian Ren, Chang Su, Huijun Wang, Zhihong Wang, Wenwen Du, Bing Zhang, Carmine Pizzi. Prospective Study of Optimal Obesity Index Cut-Off Values for Predicting Incidence of Hypertension in 18–65-Year-Old Chinese AdultsPLOS ONE 2016; 11(3): e0148140 doi: 10.1371/journal.pone.0148140
6
Rouham Yamout, Walid Ammar, Jiana Tabbara, Souha Fares, Moubadda Assi, Abla M. Sibai. Waist circumference cutoff points for predicting metabolic abnormalities in Lebanese adultsArchives of Medical Science – Civilization Diseases 2019; 4(1): 64 doi: 10.5114/amscd.2019.86814
7
Santosh Kumar, Ravi Kant, Poonam Yadav, Kavitha Natarajan, Yogesh Bahurupi, Ashutosh Mishra. A Community-Based Study on Waist-to-Height Ratio: An Indicator for Systolic Hypertension in a Rural Community of Hilly RegionCureus 2021;  doi: 10.7759/cureus.16014
8
Bruna Heidrich Prado, Larissa Franciny de Souza, Jaquelini Betta Canever, Bruno de Souza Moreira, Ana Lúcia Danielewicz, Núbia Carelli Pereira de Avelar. Is waist circumference associated with fear of falling in community-dwelling older adults? A cross-sectional studyGeriatric Nursing 2023; 50: 203 doi: 10.1016/j.gerinurse.2023.01.010
9
Clement Kufe Nyuyki, George Ngufor, George Mbeh, Jean Claude Mbanya. Epidemiology of hypertension in Fulani indigenous populations—age, gender and driversJournal of Health, Population and Nutrition 2017; 36(1) doi: 10.1186/s41043-017-0112-2
10
Abdellatif Moussouni, Adel Sidi-yakhlef, Houari Hamdaoui, Amaria Aouar, Djamel Belkhatir. Prevalence and risk factors of prehypertension and hypertension in AlgeriaBMC Public Health 2022; 22(1) doi: 10.1186/s12889-022-13942-y
11
Gautam K. Kshatriya, Anjali Kumari, Subhendu K. Acharya. Comparing the ability of anthropometric indicators in determining the prevalence of hypertension among Indian tribesDiabetes & Metabolic Syndrome: Clinical Research & Reviews 2019; 13(1): 696 doi: 10.1016/j.dsx.2018.11.038
12
Syazni Razak, Maria Justine, Vikram Mohan. Relationship between anthropometric characteristics and aerobic fitness among Malaysian men and womenJournal of Exercise Rehabilitation 2021; 17(1): 52 doi: 10.12965/jer.2142026.013
13
Purwo Sri Rejeki, Pradika Gita Baskara, Lilik Herawati, Adi Pranoto, Hayuris Kinandita Setiawan, Ronny Lesmana, Shariff Halim. Moderate-intensity exercise decreases the circulating level of betatrophin and its correlation among markers of obesity in womenJournal of Basic and Clinical Physiology and Pharmacology 2022; 33(6): 769 doi: 10.1515/jbcpp-2021-0393
14
Aiguo Wang, Ning An, Guilin Chen, Lian Li, Gil Alterovitz. Predicting hypertension without measurement: A non-invasive, questionnaire-based approachExpert Systems with Applications 2015; 42(21): 7601 doi: 10.1016/j.eswa.2015.06.012
15
M.A. Mgbekem, I.J. Atangwho, E. Duke, N. Ukam, M. Ojong, M.E. John, E.U. Eyong, C. Chiotu. Food Consumption Patterns and Nutritional Status of People Living with HIV in CalabarPakistan Journal of Nutrition 2015; 14(10): 727 doi: 10.3923/pjn.2015.727.734
16
Xiao Wu, Bo Li, Wei-Quan Lin, Ling-Ling Huang, Xiao-Xiao Wang, Li-Ying Fu, Bing-Bing Li, Pei-Xi Wang. The association between obesity indices and hypertension: Which index is the most notable indicator of hypertension in different age groups stratified by sex?Clinical and Experimental Hypertension 2019; 41(4): 373 doi: 10.1080/10641963.2018.1489546
17
Lin Wang, Mulalibieke Heizhati, Delian Zhang, Guijuan Chang, Xiaoguang Yao, Jing Hong, Mayila Kamilijiang, Mei Li, Nanfang Li. Excess weight loss is a vital strategy for controlling hypertension among multi-ethnic population in northwest ChinaMedicine 2019; 98(36): e16894 doi: 10.1097/MD.0000000000016894
18
Qian Ren, Chang Su, Huijun Wang, Zhihong Wang, Wenwen Du, Bing Zhang. Change in Body Mass Index and Its Impact on Incidence of Hypertension in 18–65-Year-Old Chinese AdultsInternational Journal of Environmental Research and Public Health 2016; 13(3): 257 doi: 10.3390/ijerph13030257
19
Ingrid S.K. Krishnadath, Jerry R. Toelsie, Lenny Nahar-van Venrooij, Albert Hofman, Vincent W.V. Jaddoe. Ethnic and sex-specific cut-off values for adult obesity in the Suriname Health StudyObesity Research & Clinical Practice 2018; 12(4): 336 doi: 10.1016/j.orcp.2016.09.011