<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_1905-7415.1101.539_s_005_w2aab3b7b6b1b6b1aab1c17b1Aa"><h3>Background</h3><p>Anthropometric indices have been studied as tools with which to detect metabolic syndrome (MetS). Few data are available from Southeast Asian populations where ethnic differences are an issue.</p></sec><sec id="j_1905-7415.1101.539_s_006_w2aab3b7b6b1b6b1aab1c17b2Aa"><h3>Objectives</h3><p>To compare the performance of body mass index (BMI) and neck circumference (NC) in predicting MetS, determine the correlation between waist circumference (WC), BMI and NC, and identify optimal cut-off points in older Thai people.</p></sec><sec id="j_1905-7415.1101.539_s_007_w2aab3b7b6b1b6b1aab1c17b3Aa"><h3>Methods</h3><p>We prospectively recruited participants aged ≥50 years to the Healthy Ageing Khon Kaen University Campus Project from March 2012 to April 2015 and collected their baseline characteristics, anthropometric measures, and metabolic profiles. MetS was recognized using International Diabetes Foundation criteria.</p></sec><sec id="j_1905-7415.1101.539_s_008_w2aab3b7b6b1b6b1aab1c17b4Aa"><h3>Results</h3><p>We enrolled 586 participants as part of a wider study (Limpawattana P, Manjavong M, Sopapong R. Endocr Prac 2016; 22:8-15). BMI and NC had positive correlations with WC in both sexes (<italic>P</italic> &lt; 0.001). For women, the area under the receiver operating characteristic curve (AUC) for BMI was 0.88 (95%CI 0.84, 0.91) and for NC was 0.79 (95%CI 0.75, 0.84). For men, the AUC for BMI was 0.91 (95%CI 0.87, 0.95) and for NC was 0.84 (95%CI 0.79, 0.90). BMI ≥24.5kg/m<sup>2</sup> in either sex, and NC ≥33 cm in women or ≥39 cm in men indicated MetS.</p></sec><sec id="j_1905-7415.1101.539_s_009_w2aab3b7b6b1b6b1aab1c17b5Aa"><h3>Conclusions</h3><p>BMI and NC are good anthropometric indices for predicting MetS. BMI was better than NC. A BMI of 24.5kg/m<sup>2</sup> in either sex and NCs of 33 cm in women and 39 cm in men are recommended as the optimal cutoff points to indicate MetS.</p></sec></abstract>

BackgroundAnthropometric indices have been studied as tools with which to detect metabolic syndrome (MetS). Few data are available from Southeast Asian populations where ethnic differences are an issue.ObjectivesTo compare the performance of body mass index (BMI) and neck circumference (NC) in predicting MetS, determine the correlation between waist circumference (WC), BMI and NC, and identify optimal cut-off points in older Thai people.MethodsWe prospectively recruited participants aged ≥50 years to the Healthy Ageing Khon Kaen University Campus Project from March 2012 to April 2015 and collected their baseline characteristics, anthropometric measures, and metabolic profiles. MetS was recognized using International Diabetes Foundation criteria.ResultsWe enrolled 586 participants as part of a wider study (Limpawattana P, Manjavong M, Sopapong R. Endocr Prac 2016; 22:8-15). BMI and NC had positive correlations with WC in both sexes (P < 0.001). For women, the area under the receiver operating characteristic curve (AUC) for BMI was 0.88 (95%CI 0.84, 0.91) and for NC was 0.79 (95%CI 0.75, 0.84). For men, the AUC for BMI was 0.91 (95%CI 0.87, 0.95) and for NC was 0.84 (95%CI 0.79, 0.90). BMI ≥24.5kg/m2 in either sex, and NC ≥33 cm in women or ≥39 cm in men indicated MetS.ConclusionsBMI and NC are good anthropometric indices for predicting MetS. BMI was better than NC. A BMI of 24.5kg/m2 in either sex and NCs of 33 cm in women and 39 cm in men are recommended as the optimal cutoff points to indicate MetS.

Utility of body mass index and neck circumference to screen for metabolic syndrome in Thai people

Department of Internal Medicine, Faculty of Medicine

Asian Biomedicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

BackgroundAnthropometric indices have been studied as tools with which to detect metabolic syndrome (MetS). Few data are available from Southeast Asian...

Utility of body mass index and neck circumference to screen for metabolic syndrome in Thai people

Article Category: Brief communication (Original)

Published Online: Aug 31, 2017

Page range: 55 - 63

DOI: https://doi.org/10.5372/1905-7415.1101.539

Keywords
Abdominal obesity, anthropometric indices, cardiometabolic risk factors, central obesity, upper body obesity, sensitivity and specificity, diagnostic accuracy, predictive, area under the ROC curve

© 2017 Manchumad Manjavong, Panita Limpawattana, Sornwichate Rattanachaiwong, Pisaln Mairiang, Sirirat Reungjui

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Utility of body mass index and neck circumference to screen for metabolic syndrome in Thai people

Article Category: Brief communication (Original)

Published Online: Aug 31, 2017

Page range: 55 - 63

DOI: https://doi.org/10.5372/1905-7415.1101.539

KeywordsAbdominal obesity, anthropometric indices, cardiometabolic risk factors, central obesity, upper body obesity, sensitivity and specificity, diagnostic accuracy, predictive, area under the ROC curve

© 2017 Manchumad Manjavong, Panita Limpawattana, Sornwichate Rattanachaiwong, Pisaln Mairiang, Sirirat Reungjui

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Abdominal obesity, anthropometric indices, cardiometabolic risk factors, central obesity, upper body obesity, sensitivity and specificity, diagnostic accuracy, predictive, area under the ROC curve