Year :
2015 |
Month :
January-March
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Volume :
4 |
Issue :
1 |
Page :
1 - 5 |
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Comparison of Anthropometric Measurements that Effectively Associated with Non Alcoholic Fatty Liver Disease
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K. Deepalakshmi, A. Murali, Anil C Mathew, R. Nagashree 1. Assistant Professor, Department of Physiology, PSG Institute of Medical Sciences & Research, Coimbatore, Tamilnadu, India.
2. Professor, Department of Medicine, PSG Institute of Medical Sciences & Research, Coimbatore, Tamilnadu, India.
3. Professor, Department of Community Medicine, PSG Institute of Medical Sciences & Research, Coimbatore, Tamilnadu, India.
4. Professor, Department of Physiology, PSG Institute of Medical Sciences & Research, Coimbatore, Tamilnadu, India.
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Correspondence
Address :
Dr. K. Deepalakshmi, Assistant Professor, Department of Physiology, PSG Institute of Medical Sciences & Research, Coimbatore, Tamilnadu, India - 641004, India. E-mail : deepa61180@yahoo.co.in
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ABSTRACT | |
Objective: To find an anthropometric indicator that can effectively be associated with Non Alcoholic Fatty Liver Disease (NAFLD).
Materials and Methods: This cross sectional study was conducted in PSGIMSR, Coimbatore. A total of 108 subjects were recruited, of whom 57 were diagnosed as NAFLD and 51 as non-NAFLD (control group).The height, body weight, waist and hip circumference were measured, and body mass index (BMI), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR) were calculated.
Statistical Analysis: Chi-Square test and t-test were employed to assess the statistical significance in qualitative and quantitative data respectively. Multivariate logistic regression analysis was performed to investigate the association between suspected anthropometric risk factors and NAFLD. The anthropometric risk factors considered were adjusted for Age and Gender and BMI, WHR, WHtR were converted into categorical variables. To rank their discriminatory power Area Under Receiver Operating Characteristic analysis was done.
Results: Compared to control group, BMI and WHtR were statistically higher in patients with NAFLD whereas no significant difference was observed in WHR. Logistic regression analysis showed BMI (Odds Ratio (OR) = 6.45, 95% CI; 1.98, .20.99) and WHtR (OR = 4.84, 95% CI 1.24, 18.87) were the two effective indicators associated with NAFLD. BMI had more discriminatory power than WHtR in predicting NAFLD.
Conclusion: We conclude that BMI and WHtR are better anthropometric measure associated with NAFLD. |
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Keywords
: Body mass index, Waist height ratio, Waist hip ratio |
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TABLES AND FIGURES | |
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