What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios
Background: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight an...
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| Format: | Article |
| Language: | English |
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Tabriz University of Medical Sciences
2020-03-01
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| Series: | Health Promotion Perspectives |
| Subjects: | |
| Online Access: | https://hpp.tbzmed.ac.ir/PDF/hpp-31908 |
| _version_ | 1823933157242568704 |
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| author | Helda Tutunchi Mehrangiz Ebrahimi-Mameghani Alireza Ostadrahimi Mohammad Asghari-Jafarabadi |
| author_facet | Helda Tutunchi Mehrangiz Ebrahimi-Mameghani Alireza Ostadrahimi Mohammad Asghari-Jafarabadi |
| author_sort | Helda Tutunchi |
| collection | DOAJ |
| description | Background: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight and obesity. We also aimed to compare the predictive ability of these indices to introduce the best choice. Methods: In this cross-sectional study, a total of 500 subjects were investigated. Anthropometric indicators were measured using a standard protocol. We considered body mass index (BMI) as the simple and most commonly used index for measuring general obesity as the comparison indicator in the present study to assess the diagnostic value for other reported obesity indices.We also performed receiver operating characteristic (ROC) curve analysis to define the optimal cut-off points of the anthropometric indicators and the best indices for overweight and obesity. Results: The proposed optimal cut-offs for WC, WHtR, and WHR were 84 cm, 0.48 and 0.78for women and 98 cm, 0.56 and 0.87 for men, respectively. The area under the ROC curve ofWHtR (women: AUC=0.97, 95% CI: 0.96-0.99 vs. men: AUC=0.97, 95%CI: 0.96-0.99) and WC(women: AUC=0.97, 95% CI, 0.95-0.99 vs. men: AUC=0.98, 95% CI: 0.97-0.99) were greater than WHR (women: AUC=0.79, 95% CI =0.74-0.85 vs. men: AUC=0.84, 95% CI=0.79-0.88). Conclusion: This study demonstrated that the WC and WHtR indicators are stronger indicators compared to the others. However, further studies using desirable and also local cutoffs against more accurate techniques for body fat measurement such as computerized tumor (CT) scans and dual-energy x-ray absorptiometry (DEXA) are required. |
| first_indexed | 2024-12-16T22:02:18Z |
| format | Article |
| id | doaj.art-07355089ad5a48618190b1662f64b90f |
| institution | Directory Open Access Journal |
| issn | 2228-6497 |
| language | English |
| last_indexed | 2024-12-16T22:02:18Z |
| publishDate | 2020-03-01 |
| publisher | Tabriz University of Medical Sciences |
| record_format | Article |
| series | Health Promotion Perspectives |
| spelling | doaj.art-07355089ad5a48618190b1662f64b90f2022-12-21T22:14:35ZengTabriz University of Medical SciencesHealth Promotion Perspectives2228-64972020-03-0110214214710.34172/hpp.2020.23hpp-31908What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratiosHelda Tutunchi0Mehrangiz Ebrahimi-Mameghani1Alireza Ostadrahimi2Mohammad Asghari-Jafarabadi3Student Research Committee, Nutrition Research Center, School of Nutrition & Food Sciences, Tabriz University of Medical Sciences, Tabriz, IranSocial Determinant of Health Research Center, Tabriz University of Medical Sciences, Tabriz, IranNutrition Research Center, Department of Clinical Nutrition, Tabriz University of Medical Sciences, Tabriz, IranRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, IranBackground: Planning for obesity prevention is an important global health priority. Our aim in this study was to find the optimal cut-off points of waist circumference (WC), waist- to- hipratio (WHR) and waist- to- height ratio (WHtR), as three anthropometric indices, for prediction of overweight and obesity. We also aimed to compare the predictive ability of these indices to introduce the best choice. Methods: In this cross-sectional study, a total of 500 subjects were investigated. Anthropometric indicators were measured using a standard protocol. We considered body mass index (BMI) as the simple and most commonly used index for measuring general obesity as the comparison indicator in the present study to assess the diagnostic value for other reported obesity indices.We also performed receiver operating characteristic (ROC) curve analysis to define the optimal cut-off points of the anthropometric indicators and the best indices for overweight and obesity. Results: The proposed optimal cut-offs for WC, WHtR, and WHR were 84 cm, 0.48 and 0.78for women and 98 cm, 0.56 and 0.87 for men, respectively. The area under the ROC curve ofWHtR (women: AUC=0.97, 95% CI: 0.96-0.99 vs. men: AUC=0.97, 95%CI: 0.96-0.99) and WC(women: AUC=0.97, 95% CI, 0.95-0.99 vs. men: AUC=0.98, 95% CI: 0.97-0.99) were greater than WHR (women: AUC=0.79, 95% CI =0.74-0.85 vs. men: AUC=0.84, 95% CI=0.79-0.88). Conclusion: This study demonstrated that the WC and WHtR indicators are stronger indicators compared to the others. However, further studies using desirable and also local cutoffs against more accurate techniques for body fat measurement such as computerized tumor (CT) scans and dual-energy x-ray absorptiometry (DEXA) are required.https://hpp.tbzmed.ac.ir/PDF/hpp-31908anthropometric indicesiranian adultsobesityreceiver operating characteristics |
| spellingShingle | Helda Tutunchi Mehrangiz Ebrahimi-Mameghani Alireza Ostadrahimi Mohammad Asghari-Jafarabadi What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios Health Promotion Perspectives anthropometric indices iranian adults obesity receiver operating characteristics |
| title | What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios |
| title_full | What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios |
| title_fullStr | What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios |
| title_full_unstemmed | What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios |
| title_short | What are the optimal cut-off points of anthropometric indices for prediction of overweight and obesity? Predictive validity of waist circumference, waist-to-hip and waist-to-height ratios |
| title_sort | what are the optimal cut off points of anthropometric indices for prediction of overweight and obesity predictive validity of waist circumference waist to hip and waist to height ratios |
| topic | anthropometric indices iranian adults obesity receiver operating characteristics |
| url | https://hpp.tbzmed.ac.ir/PDF/hpp-31908 |
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