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Relation of anthropometric variables to coronary artery disease risk factors
BACKGROUND AND OBJECTIVES: Anthropometric variables and their relation to conventional coronary artery disease (CAD) risk factors in railway employees have been inadequately studied in India. This cross-sectional survey was carried out in the Solapur division of the Central railway in the year 2004,...
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Formato: | Texto |
Lenguaje: | English |
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Medknow Publications
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3079867/ https://www.ncbi.nlm.nih.gov/pubmed/21584164 http://dx.doi.org/10.4103/2230-8210.77582 |
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author | Patil, Virendra C. Parale, G. P. Kulkarni, P. M. Patil, Harsha V. |
author_facet | Patil, Virendra C. Parale, G. P. Kulkarni, P. M. Patil, Harsha V. |
author_sort | Patil, Virendra C. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVES: Anthropometric variables and their relation to conventional coronary artery disease (CAD) risk factors in railway employees have been inadequately studied in India. This cross-sectional survey was carried out in the Solapur division of the Central railway in the year 2004, to assess the anthropometric variables in railway employees and their relation to conventional CAD risk factors. MATERIALS AND METHODS: A total of 995 railway employees, with 872 males and 123 females participated in this cross-sectional study. All subjects underwent anthropometric measurements, fasting lipid profile, and blood sugar level. Various anthropometric indices were calculated for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and abdominal volume index (AVI). Statistical analysis was done by EPI Info 6 statistical software. RESULTS: Compared to all other obesity indices, WHtR was most prevalent in both genders. High WHtR was present in 699 (80.16%) males and 103 (83.73%) females. Age ≥45 years, high systolic BP, high diastolic BP, low HDL, high triglyceride, and diabetes mellitus were positively correlated with high BMI, high WC, high WHR, high WHtR, and high AVI. High BMI, high WC, high WHR, high WHtR, and high AVI were negatively associated with physical inactivity. CONCLUSIONS: Over all, anthropometric variables in both genders were significantly deranged in subjects with coronary risk factors. Compared to all other anthropometric variables, WHtR was statistically significantly associated with a majority of coronary artery risk factors. Hence we recommend inclusion of WHtR as a parameter of obesity to predict coronary artery disease risk factor along with WC, WHR, and BMI in epidemiologic studies. |
format | Text |
id | pubmed-3079867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Medknow Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-30798672011-05-16 Relation of anthropometric variables to coronary artery disease risk factors Patil, Virendra C. Parale, G. P. Kulkarni, P. M. Patil, Harsha V. Indian J Endocrinol Metab Original Article BACKGROUND AND OBJECTIVES: Anthropometric variables and their relation to conventional coronary artery disease (CAD) risk factors in railway employees have been inadequately studied in India. This cross-sectional survey was carried out in the Solapur division of the Central railway in the year 2004, to assess the anthropometric variables in railway employees and their relation to conventional CAD risk factors. MATERIALS AND METHODS: A total of 995 railway employees, with 872 males and 123 females participated in this cross-sectional study. All subjects underwent anthropometric measurements, fasting lipid profile, and blood sugar level. Various anthropometric indices were calculated for body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and abdominal volume index (AVI). Statistical analysis was done by EPI Info 6 statistical software. RESULTS: Compared to all other obesity indices, WHtR was most prevalent in both genders. High WHtR was present in 699 (80.16%) males and 103 (83.73%) females. Age ≥45 years, high systolic BP, high diastolic BP, low HDL, high triglyceride, and diabetes mellitus were positively correlated with high BMI, high WC, high WHR, high WHtR, and high AVI. High BMI, high WC, high WHR, high WHtR, and high AVI were negatively associated with physical inactivity. CONCLUSIONS: Over all, anthropometric variables in both genders were significantly deranged in subjects with coronary risk factors. Compared to all other anthropometric variables, WHtR was statistically significantly associated with a majority of coronary artery risk factors. Hence we recommend inclusion of WHtR as a parameter of obesity to predict coronary artery disease risk factor along with WC, WHR, and BMI in epidemiologic studies. Medknow Publications 2011 /pmc/articles/PMC3079867/ /pubmed/21584164 http://dx.doi.org/10.4103/2230-8210.77582 Text en Copyright: © Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Patil, Virendra C. Parale, G. P. Kulkarni, P. M. Patil, Harsha V. Relation of anthropometric variables to coronary artery disease risk factors |
title | Relation of anthropometric variables to coronary artery disease risk factors |
title_full | Relation of anthropometric variables to coronary artery disease risk factors |
title_fullStr | Relation of anthropometric variables to coronary artery disease risk factors |
title_full_unstemmed | Relation of anthropometric variables to coronary artery disease risk factors |
title_short | Relation of anthropometric variables to coronary artery disease risk factors |
title_sort | relation of anthropometric variables to coronary artery disease risk factors |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3079867/ https://www.ncbi.nlm.nih.gov/pubmed/21584164 http://dx.doi.org/10.4103/2230-8210.77582 |
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