Comparing utility of anthropometric indices based on gender differences in predicting dyslipidaemia in healthy adults

Priyanka N. Pawaskar, Arun Shirali, M. Venkatraya Prabhu, Sheila R. Pai, Nayanatara Arun Kumar, Niwas G. Pawaskar

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2 Citations (Scopus)

Abstract

Introduction: Anthropometry is a simple reliable method for quantifying body proportions by measuring body length, weight and circumferences. Aim: Our intention in this study was to compare sensitivities and positive predictive values of waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and body mass index (BMI) in identifying healthy subjects, males and females separately for identifying obesity associated dyslipidemia. Materials and Methods: We analysed randomly selected 100 healthy subjects (males:58%, females:42%) between 25 and 60 years of age attending tertiary health care center in South India, after obtaining informed consent and Institutional Ethical Clearance. WC, WHR, WHtR and BMI of all the enrolled subjects were measured and estimated. Their fasting serum lipid profile was assessed. Subjects were divided based on their gender and each group was then categorized as obese and non-obese using anthropometric parameters and their individual serum lipid profile values depending on the cut off standards as per WHO and ATP III guidelines and compared. Data obtained was statistically analysed. Results: Mean values of WC, WHR, WHtR and BMI were highly significant (p<0.000) in obese in both males (97.43 ± 6.21cm, 0.96 ± 0.04, 0.61 ± 0.05, 27.72 ± 2.45kg/m2) and females (91.82 ± 5.18cm, 0.92 ± 0.06, 0.60 ± 0.04, 27.70 + 3.44kg/m2) when considered separately compared to non-obese males (82.27 ± 5.33cm, 0.83 ± 0.033, 0.51 ± 0.03, 22.80 ± 2.11kg/m2) and females (71.68 ± 7.33cm, 0.78 ± 0.03, 0.48 ± 0.03, 21.82 ± 1.98kg/m2 respectively). WC was more sensitive for predicting the altered lipid profile (85%) in females and WHR (65%) in males. WHR showed higher ability to correctly predict the occurrence of dyslipidemia in the obese males (90% positive predictive value) and WHtR in females (92%). Conclusion: The present study inferred that WC, WHR are more sensitive while WHR and WHtR have a higher positive predictive value than BMI in identifying dyslipidemia in healthy males and females.

Original languageEnglish
Pages (from-to)CC01-CC04
JournalJournal of Clinical and Diagnostic Research
Volume9
Issue number8
DOIs
Publication statusPublished - 01-08-2015

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Waist-Hip Ratio
Dyslipidemias
Waist Circumference
Lipids
Anthropometry
Body Mass Index
Health care
Adenosine Triphosphate
Healthy Volunteers
Aptitude
Informed Consent
Serum
Tertiary Care Centers
India
Fasting
Obesity
Body Weight
Waist-Height Ratio
Guidelines
Delivery of Health Care

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

Cite this

@article{d74678d742bc4c07b953d8add2759005,
title = "Comparing utility of anthropometric indices based on gender differences in predicting dyslipidaemia in healthy adults",
abstract = "Introduction: Anthropometry is a simple reliable method for quantifying body proportions by measuring body length, weight and circumferences. Aim: Our intention in this study was to compare sensitivities and positive predictive values of waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and body mass index (BMI) in identifying healthy subjects, males and females separately for identifying obesity associated dyslipidemia. Materials and Methods: We analysed randomly selected 100 healthy subjects (males:58{\%}, females:42{\%}) between 25 and 60 years of age attending tertiary health care center in South India, after obtaining informed consent and Institutional Ethical Clearance. WC, WHR, WHtR and BMI of all the enrolled subjects were measured and estimated. Their fasting serum lipid profile was assessed. Subjects were divided based on their gender and each group was then categorized as obese and non-obese using anthropometric parameters and their individual serum lipid profile values depending on the cut off standards as per WHO and ATP III guidelines and compared. Data obtained was statistically analysed. Results: Mean values of WC, WHR, WHtR and BMI were highly significant (p<0.000) in obese in both males (97.43 ± 6.21cm, 0.96 ± 0.04, 0.61 ± 0.05, 27.72 ± 2.45kg/m2) and females (91.82 ± 5.18cm, 0.92 ± 0.06, 0.60 ± 0.04, 27.70 + 3.44kg/m2) when considered separately compared to non-obese males (82.27 ± 5.33cm, 0.83 ± 0.033, 0.51 ± 0.03, 22.80 ± 2.11kg/m2) and females (71.68 ± 7.33cm, 0.78 ± 0.03, 0.48 ± 0.03, 21.82 ± 1.98kg/m2 respectively). WC was more sensitive for predicting the altered lipid profile (85{\%}) in females and WHR (65{\%}) in males. WHR showed higher ability to correctly predict the occurrence of dyslipidemia in the obese males (90{\%} positive predictive value) and WHtR in females (92{\%}). Conclusion: The present study inferred that WC, WHR are more sensitive while WHR and WHtR have a higher positive predictive value than BMI in identifying dyslipidemia in healthy males and females.",
author = "Pawaskar, {Priyanka N.} and Arun Shirali and {Venkatraya Prabhu}, M. and Pai, {Sheila R.} and Kumar, {Nayanatara Arun} and Pawaskar, {Niwas G.}",
year = "2015",
month = "8",
day = "1",
doi = "10.7860/JCDR/2015/12440.6339",
language = "English",
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pages = "CC01--CC04",
journal = "Journal of Clinical and Diagnostic Research",
issn = "2249-782X",
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}

TY - JOUR

T1 - Comparing utility of anthropometric indices based on gender differences in predicting dyslipidaemia in healthy adults

AU - Pawaskar, Priyanka N.

AU - Shirali, Arun

AU - Venkatraya Prabhu, M.

AU - Pai, Sheila R.

AU - Kumar, Nayanatara Arun

AU - Pawaskar, Niwas G.

PY - 2015/8/1

Y1 - 2015/8/1

N2 - Introduction: Anthropometry is a simple reliable method for quantifying body proportions by measuring body length, weight and circumferences. Aim: Our intention in this study was to compare sensitivities and positive predictive values of waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and body mass index (BMI) in identifying healthy subjects, males and females separately for identifying obesity associated dyslipidemia. Materials and Methods: We analysed randomly selected 100 healthy subjects (males:58%, females:42%) between 25 and 60 years of age attending tertiary health care center in South India, after obtaining informed consent and Institutional Ethical Clearance. WC, WHR, WHtR and BMI of all the enrolled subjects were measured and estimated. Their fasting serum lipid profile was assessed. Subjects were divided based on their gender and each group was then categorized as obese and non-obese using anthropometric parameters and their individual serum lipid profile values depending on the cut off standards as per WHO and ATP III guidelines and compared. Data obtained was statistically analysed. Results: Mean values of WC, WHR, WHtR and BMI were highly significant (p<0.000) in obese in both males (97.43 ± 6.21cm, 0.96 ± 0.04, 0.61 ± 0.05, 27.72 ± 2.45kg/m2) and females (91.82 ± 5.18cm, 0.92 ± 0.06, 0.60 ± 0.04, 27.70 + 3.44kg/m2) when considered separately compared to non-obese males (82.27 ± 5.33cm, 0.83 ± 0.033, 0.51 ± 0.03, 22.80 ± 2.11kg/m2) and females (71.68 ± 7.33cm, 0.78 ± 0.03, 0.48 ± 0.03, 21.82 ± 1.98kg/m2 respectively). WC was more sensitive for predicting the altered lipid profile (85%) in females and WHR (65%) in males. WHR showed higher ability to correctly predict the occurrence of dyslipidemia in the obese males (90% positive predictive value) and WHtR in females (92%). Conclusion: The present study inferred that WC, WHR are more sensitive while WHR and WHtR have a higher positive predictive value than BMI in identifying dyslipidemia in healthy males and females.

AB - Introduction: Anthropometry is a simple reliable method for quantifying body proportions by measuring body length, weight and circumferences. Aim: Our intention in this study was to compare sensitivities and positive predictive values of waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR) and body mass index (BMI) in identifying healthy subjects, males and females separately for identifying obesity associated dyslipidemia. Materials and Methods: We analysed randomly selected 100 healthy subjects (males:58%, females:42%) between 25 and 60 years of age attending tertiary health care center in South India, after obtaining informed consent and Institutional Ethical Clearance. WC, WHR, WHtR and BMI of all the enrolled subjects were measured and estimated. Their fasting serum lipid profile was assessed. Subjects were divided based on their gender and each group was then categorized as obese and non-obese using anthropometric parameters and their individual serum lipid profile values depending on the cut off standards as per WHO and ATP III guidelines and compared. Data obtained was statistically analysed. Results: Mean values of WC, WHR, WHtR and BMI were highly significant (p<0.000) in obese in both males (97.43 ± 6.21cm, 0.96 ± 0.04, 0.61 ± 0.05, 27.72 ± 2.45kg/m2) and females (91.82 ± 5.18cm, 0.92 ± 0.06, 0.60 ± 0.04, 27.70 + 3.44kg/m2) when considered separately compared to non-obese males (82.27 ± 5.33cm, 0.83 ± 0.033, 0.51 ± 0.03, 22.80 ± 2.11kg/m2) and females (71.68 ± 7.33cm, 0.78 ± 0.03, 0.48 ± 0.03, 21.82 ± 1.98kg/m2 respectively). WC was more sensitive for predicting the altered lipid profile (85%) in females and WHR (65%) in males. WHR showed higher ability to correctly predict the occurrence of dyslipidemia in the obese males (90% positive predictive value) and WHtR in females (92%). Conclusion: The present study inferred that WC, WHR are more sensitive while WHR and WHtR have a higher positive predictive value than BMI in identifying dyslipidemia in healthy males and females.

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