HN-00740061_The Relationship between Peripheral Lipid Distribution and Severity ofNon Alcoholic Fatty Liver Disease

Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
View: 385

نسخه کامل این Paper ارائه نشده است و در دسترس نمی باشد

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

ICNC03_152

تاریخ نمایه سازی: 12 اسفند 1398

Abstract:

Introduction: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease which can contribute to some clinical conditions. A large number of studies have performed on relationship between central lipid distribution and NAFLD, while there are little studies on peripheral lipid distribution, so the aim of this study is to investigate the relationship between some anthropometric parameters of Peripheral lipid distribution and NAFLD.Methods: A total sample of 212 subjects over 18 years old (103 man and 109 woman) were recruited from those admitted to a gastrointestinal clinic in Mashhad, northeastern Iran. Peripheral and central anthropometric parameters were measured. Hepatic steatosis was identified by Transient Elastography (TE). Logistic regression was applied to establish the association between anthropometric parameters and hepatic steatosis. The sensitivity, specificity and AUC of all anthropometric measurements were detected by receiver operating characteristic (ROC) analysis.Results: The mean age of participants was 39.26±14.18 years. Liver steatosis was positively correlated with neck, arm, wrist and tight circumference after adjusting for multiple factors (p<0.0001). ROC analysis showed that from peripheral anthropometric parameters, arm circumference had the highest AUC (0.79) in predicting liver steatosis which followed by neck (AUC=0.772) and wrist circumference (AUC=0.762)Conclusion: According to our results, in addition to central anthropometric assessments, novel anthropometric parameters of peripheral fat stores such as arm, neck and wrist circumference are strongly associated with liver steatosis and can predict it.

Authors

Zahra Dehnavi

PhD Student of Nutrition Science, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences (MUMS), Mashhad, Iran

Farkhonde Razmpour

MD PhD of Nutrition science, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences (MUMS), Mashhad, Iran

Mahmoud Belghaisi-Naseri

Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Mohsen Nematy

MD PhD Associated Professor in Nutrition Science, Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences (MUMS), Mashhad, Iran