<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Background.</bold> The prevalence of obesity and metabolic syndrome (MetS) is increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.<bold>Methods.</bold> This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011–2016). Of total, 1,488 older people aged 60–92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.<bold>Results.</bold> Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p = 0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p&lt;0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76–0.81) followed by BMI (0.746; 95% CI: 0.71–0.77), AVI (0.745; 95% CI: 0.71–0.77), and waist circumference (0.743; 95% CI: 0.71–0.77).<bold>Conclusion.</bold> Waist to height ratio was the best predictor of MetS in older adults.</abstract>

Background. The prevalence of obesity and metabolic syndrome (MetS) is increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS is an essential approach in preventive health programs. The aim of this study was to compare the different anthropometric indices in predicting metabolic syndrome in older adults.Methods. This cross-sectional study is a part of the Amirkola Health and Ageing cohort Project (2011–2016). Of total, 1,488 older people aged 60–92 years were entered to the study. Medical and personal information of participants were collected by a questionnaire. After measuring the height, weight, waist circumference, hip circumference and neck circumference, body mass index, waist to hip ratio, waist to height ratio, abdominal volume index and conicity index were calculated. Independent t-test, chi-square and ROC curve were used to analyze the data.Results. Based on ATPIII-2005 diagnostic criteria, the prevalence of metabolic syndrome was 71.57%.The prevalence in female was higher than male. All of examined anthropometric indices, except neck circumference (p = 0.10), showed a significant difference in people with MetS compared to the individuals without metabolic syndrome (p<0.001). Waist to height ratio showed the largest area under the curve for predicting MetS (0.786; 95% CI: 0.76–0.81) followed by BMI (0.746; 95% CI: 0.71–0.77), AVI (0.745; 95% CI: 0.71–0.77), and waist circumference (0.743; 95% CI: 0.71–0.77).Conclusion. Waist to height ratio was the best predictor of MetS in older adults.

Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

Romanian Journal of Internal Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Background. The prevalence of obesity and metabolic syndrome (MetS) is increasing, worldwide. Using a simple, efficient and reliable tool for predicting MetS...

Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

Publicado en línea: 05 mar 2021

Páginas: 43 - 49

Recibido: 02 mar 2020

DOI: https://doi.org/10.2478/rjim-2020-0026

Palabras clave
metabolic syndrome, anthropometry, obesity, elderly, Body Mass Index

© 2021 Sara Khosravian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Comparison of anthropometric indices for predicting the risk of metabolic syndrome in older adults

Publicado en línea: 05 mar 2021

Páginas: 43 - 49

Recibido: 02 mar 2020

DOI: https://doi.org/10.2478/rjim-2020-0026

Palabras clavemetabolic syndrome, anthropometry, obesity, elderly, Body Mass Index

© 2021 Sara Khosravian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
metabolic syndrome, anthropometry, obesity, elderly, Body Mass Index