2017
DOI: 10.5812/semj.13796
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A Comparison of Waist-to-Hip Ratio Cutoff Points in a Large Sample of Southern Iranian Adults with Two Standard Procedures and Asian Studies

Abstract: Background: One of the popular indicators of developing serious health conditions is the waist-to-hip ratio (WHR). The appropriate WHR cutoff points are reported differently in the US department of health and human services (US-DHHS), the world health organization (WHO), and the Asian studies.

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Cited by 3 publications
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“…Additionally, mean WHR values of the MO and normal groups were 0.86 and 0.83 for male students and 0.80 and 0.77 for female students, respectively, and the mean was significantly higher in the MO groups than in the normal groups. WHR is used as an indicator of obesity, with a cutoff value of ≥ 0.95–1.0 in males and ≥ 0.80–0.85 in females [ 26 ]. In the present study, the cutoff values of BMI and WHR for predicting MO were 22.0 kg/m 2 and 0.84 in males and 21.4 kg/m 2 and 0.78 in females, respectively, which are lower than those for predicting obesity reported in previous studies [ 17 , 26 ].…”
Section: Discussionmentioning
confidence: 99%
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“…Additionally, mean WHR values of the MO and normal groups were 0.86 and 0.83 for male students and 0.80 and 0.77 for female students, respectively, and the mean was significantly higher in the MO groups than in the normal groups. WHR is used as an indicator of obesity, with a cutoff value of ≥ 0.95–1.0 in males and ≥ 0.80–0.85 in females [ 26 ]. In the present study, the cutoff values of BMI and WHR for predicting MO were 22.0 kg/m 2 and 0.84 in males and 21.4 kg/m 2 and 0.78 in females, respectively, which are lower than those for predicting obesity reported in previous studies [ 17 , 26 ].…”
Section: Discussionmentioning
confidence: 99%
“…WHR is used as an indicator of obesity, with a cutoff value of ≥ 0.95–1.0 in males and ≥ 0.80–0.85 in females [ 26 ]. In the present study, the cutoff values of BMI and WHR for predicting MO were 22.0 kg/m 2 and 0.84 in males and 21.4 kg/m 2 and 0.78 in females, respectively, which are lower than those for predicting obesity reported in previous studies [ 17 , 26 ]. Recently, new anthropometric indices such as ABSI, AVI, BAI, BRI, and CI, which can estimate body fat distribution, have been used to evaluate obesity [ 7 , 8 ].…”
Section: Discussionmentioning
confidence: 99%