The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men
Aim. This study aimed to investigate which anthropometric indices could be a better predictor of metabolic syndrome (MetS) and the cut-off points for these surrogates to appropriately differentiate MetS in the Iranian elderly. Method. The present cross-sectional stu...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Obesity |
| Online Access: | http://dx.doi.org/10.1155/2014/907149 |
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| author | Mojgan Gharipour Masoumeh Sadeghi Minoo Dianatkhah Shirin Bidmeshgi Alireza Ahmadi Marzieh Tahri Nizal Sarrafzadegan |
| author_facet | Mojgan Gharipour Masoumeh Sadeghi Minoo Dianatkhah Shirin Bidmeshgi Alireza Ahmadi Marzieh Tahri Nizal Sarrafzadegan |
| author_sort | Mojgan Gharipour |
| collection | DOAJ |
| description | Aim. This study aimed to investigate which anthropometric indices could be a better predictor of metabolic syndrome (MetS)
and the cut-off points for these surrogates to appropriately differentiate MetS in the Iranian elderly. Method. The present cross-sectional
study was conducted on a sample of Isfahan Healthy Heart Program (IHHP). MetS was defined according to Third Adult Treatment Panel (ATPIII). In total,
206 elderly subjects with MetS criteria were selected. Anthropometric indices were measured and plotted using receiver operating characteristic (ROC)
curves. Results. WC followed by WHtR yielded the highest area under the curve (AUC) (0.683; 95% CI 0.606–0.761 and 0.680;
95% CI 0.602–0.758, resp.) for MetS. WC at a cut of 94.5 cm resulted in the highest Youden index with sensitivity
64% and 68% specificity to predict the presence of ≥2 metabolic risk factors. BMI had the lowest sensitivity and specificity for MetS and MetS
components. WC has the best ability to detect MetS which followed by WHtR and BMI had a lower discriminating value comparatively. Conclusion.
WC is the best predictor for predicting the presence of ≥2 metabolic risk factors among Iranian elderly population and the best value of WC is
94.5 cm. This cut-off values of WC should be advocated and used in Iranian men until larger cross-sectional studies show different results. |
| format | Article |
| id | doaj-art-ff9973bfcd2a4b53bca6d988d8cef7b6 |
| institution | OA Journals |
| issn | 2090-0708 2090-0716 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Obesity |
| spelling | doaj-art-ff9973bfcd2a4b53bca6d988d8cef7b62025-08-20T02:22:50ZengWileyJournal of Obesity2090-07082090-07162014-01-01201410.1155/2014/907149907149The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly MenMojgan Gharipour0Masoumeh Sadeghi1Minoo Dianatkhah2Shirin Bidmeshgi3Alireza Ahmadi4Marzieh Tahri5Nizal Sarrafzadegan6Metabolic Syndrome Department, Isfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranCardiac Rehabilitation Research Center, Isfahan Cardiovascular Research Institute (WHO Collaborating Center), Isfahan University of Medical Sciences, Isfahan, IranInterventional Cardiology Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranHypertension Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranIsfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranIsfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranIsfahan Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, IranAim. This study aimed to investigate which anthropometric indices could be a better predictor of metabolic syndrome (MetS) and the cut-off points for these surrogates to appropriately differentiate MetS in the Iranian elderly. Method. The present cross-sectional study was conducted on a sample of Isfahan Healthy Heart Program (IHHP). MetS was defined according to Third Adult Treatment Panel (ATPIII). In total, 206 elderly subjects with MetS criteria were selected. Anthropometric indices were measured and plotted using receiver operating characteristic (ROC) curves. Results. WC followed by WHtR yielded the highest area under the curve (AUC) (0.683; 95% CI 0.606–0.761 and 0.680; 95% CI 0.602–0.758, resp.) for MetS. WC at a cut of 94.5 cm resulted in the highest Youden index with sensitivity 64% and 68% specificity to predict the presence of ≥2 metabolic risk factors. BMI had the lowest sensitivity and specificity for MetS and MetS components. WC has the best ability to detect MetS which followed by WHtR and BMI had a lower discriminating value comparatively. Conclusion. WC is the best predictor for predicting the presence of ≥2 metabolic risk factors among Iranian elderly population and the best value of WC is 94.5 cm. This cut-off values of WC should be advocated and used in Iranian men until larger cross-sectional studies show different results.http://dx.doi.org/10.1155/2014/907149 |
| spellingShingle | Mojgan Gharipour Masoumeh Sadeghi Minoo Dianatkhah Shirin Bidmeshgi Alireza Ahmadi Marzieh Tahri Nizal Sarrafzadegan The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men Journal of Obesity |
| title | The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men |
| title_full | The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men |
| title_fullStr | The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men |
| title_full_unstemmed | The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men |
| title_short | The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men |
| title_sort | cut off values of anthropometric indices for identifying subjects at risk for metabolic syndrome in iranian elderly men |
| url | http://dx.doi.org/10.1155/2014/907149 |
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