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The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)
Author(s) -
Roya Mansour-Ghanaei,
Fariborz Mansour-Ghanaei,
Mohammadreza Naghipour,
Farahnaz Joukar,
Zahra Atrkarroushan,
Mohammadjavad Tabatabaii,
Najmeh Ghorani
Publication year - 2018
Publication title -
journal of medicine and life
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.354
H-Index - 36
eISSN - 1844-3117
pISSN - 1844-122X
DOI - 10.25122/jml-2018-0031
Subject(s) - waist to height ratio , medicine , fatty liver , body mass index , anthropometry , waist , obesity , logistic regression , waist–hip ratio , cohort , persian , cohort study , demography , gastroenterology , disease , linguistics , philosophy , sociology
Non-alcoholic fatty liver disease (NAFLD) is an obesity-associated health problem that causes other liver diseases for the patient. Four anthropometric indices: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were analyzed as NAFLD predictors in the present study. Methods: From the total number of individuals who referred to the PERSIAN Guilan Cohort study (PGCS) located in the north of Iran during the period of study, a total of 960 people were enrolled in the present study. NAFLD was diagnosed using through an abdominal ultrasound exam. Height, weight, WC, BMI, WHR and WHtR were later calculated. Chi-square, ANOVA and logistic regression analyses were used to analyze the risk factors. Results: Out of the 960 individuals who were enrolled in the study, 597 (62.2%) were male and 363 (37.8%) were female (with an average age of 47.21 ± 7.29 years). There was a significant relationship between weight and NAFLD (P<0.001). There was also a significant relationship between BMI (OR= 8.41; 95% CI = 5.59-12.75), WC (OR= 2.67; 95% CI = 2.05-3.48), WHR (OR= 3.84; 95% CI = 2.26-6.52), WHtR (OR= 28.53; 95% CI = 6.94-117.31) and NAFLD (P<0.001). The results of the logistic regression analysis showed that WHtR, BMI and WC were effective predictors for the risk of NAFLD while WHtR played a more important role in the prediction of NAFLD. Conclusion: Anthropometric indices, especially WHtR, as a simple screening tool, seem to be an important criterion for the detection of NAFLD.

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