Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia

Introduction Since there is a paucity of data on the epidemiology of the non-alcoholic fatty liver disease (NAFLD), particularly in rural areas in Asia, we undertook such a study among the population of a rural community in Bangladesh with the aims to (1) determine the prevalence of non-obese and ob...

Full description

Saved in:
Bibliographic Details
Main Authors: M Masudur Rahman, Mazhar Haque, Md Golam Kibria, Hasina Begum, Nigar Sultana, Mahfuza Akhter, A H M Rowshon, Faruqe Ahmed, Mahmud Hasan
Format: Article
Language:English
Published: BMJ Publishing Group 2020-12-01
Series:BMJ Open Gastroenterology
Online Access:https://bmjopengastro.bmj.com/content/7/1/e000535.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846122921297182720
author M Masudur Rahman
Mazhar Haque
Md Golam Kibria
Hasina Begum
Nigar Sultana
Mahfuza Akhter
A H M Rowshon
Faruqe Ahmed
Mahmud Hasan
author_facet M Masudur Rahman
Mazhar Haque
Md Golam Kibria
Hasina Begum
Nigar Sultana
Mahfuza Akhter
A H M Rowshon
Faruqe Ahmed
Mahmud Hasan
author_sort M Masudur Rahman
collection DOAJ
description Introduction Since there is a paucity of data on the epidemiology of the non-alcoholic fatty liver disease (NAFLD), particularly in rural areas in Asia, we undertook such a study among the population of a rural community in Bangladesh with the aims to (1) determine the prevalence of non-obese and obese NAFLD, (2) compare the sociodemographic clinical and metabolic characteristics between non-obese and obese NAFLD subjects, and (3) determine the risk factors of NAFLD and no-nobese NAFLD.Methods In this door-to-door survey, clinical examination, anthropometric measurements, biochemical tests and ultrasonography were performed on the adult population (≥18 years) of three villages in Bangladesh.Results Of 1682, 1353 (80.44%) responded. After the exclusion of 48 subjects for alcohol consumption, HBsAg or anti-hepatitis C virus positivity, 1305 ((mean age 41.28±15.10 years, female 908 (69.6%)) were included in the final analysis. On ultrasonography, among the study population, 57 (4.4%) non-obese, 185 (14.2%) obese and, overall, 242 (18.5 %, (male 23.40%, female 16.4%, p=0. 003)) participants had NAFLD. NAFLD was detected in 57/804 (7.1%) of non-obese and 185/501 (36.93%) obese participants. Among the lean subjects, 24/592 (4.1%) had NAFLD. Among NAFLD subjects, 57 (23.55%) were non-obese, and 53 (22%) had raised alanine aminotransferase. On multivariate analysis, age >40 years, male gender, metabolic syndrome (MS), diabetes mellitus (DM), abdominal obesity, hypertension, dyslipidaemia and obesity were found as the risk factors for NAFLD. There were no differences in sociodemographic characteristics, DM, MS, abdominal obesity, hypertension and dyslipidaemia between non-obese and obese NAFLD (all p>0.05).Conclusion In this community study in Bangladesh, NAFLD was present in 18.5% participants, one-quarter of whom were non-obese. Apart from body mass index, the metabolic profile was comparable between obese and non-obese NAFLD. Public health measures are needed to control and prevent NAFLD and MS and their adverse health consequences.
format Article
id doaj-art-a7522479b2274dd09f8f7351de7da665
institution Kabale University
issn 2054-4774
language English
publishDate 2020-12-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open Gastroenterology
spelling doaj-art-a7522479b2274dd09f8f7351de7da6652024-12-14T14:10:09ZengBMJ Publishing GroupBMJ Open Gastroenterology2054-47742020-12-017110.1136/bmjgast-2020-000535Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South AsiaM Masudur Rahman0Mazhar Haque1Md Golam Kibria2Hasina Begum3Nigar Sultana4Mahfuza Akhter5A H M Rowshon6Faruqe Ahmed7Mahmud Hasan8Department of Gastroenterology, Dhaka Medical College and Hospital, Dhaka, BangladeshDepartment of Gastroenterology, Mater Health Services, University of Queensland, Brisbane, Queensland, AustraliaDepartment of Gastroenterology, Sheikh Russel National Gastroliver Institute and Hospial, Dhaka, BangladeshDepartment of Radiology and Imaging, Sheikh Russel National Gastroliver Institute and Hospital, Dhaka, BangladeshDepartment of Gastroenterology, Delta Medical College and Hospital, Dhaka, BangladeshMugda Medical College and Hospital, Dhaka, BangladeshDepartment of Gastroenterology, Shaheed Suhrawardy Medical College and Hospital, Dhaka, BangladeshDepartment of Gastroenterology, Sheikh Russel National Gastroliver Institute and Hospial, Dhaka, BangladeshGastroliver Foundation, Dhaka, BangladeshIntroduction Since there is a paucity of data on the epidemiology of the non-alcoholic fatty liver disease (NAFLD), particularly in rural areas in Asia, we undertook such a study among the population of a rural community in Bangladesh with the aims to (1) determine the prevalence of non-obese and obese NAFLD, (2) compare the sociodemographic clinical and metabolic characteristics between non-obese and obese NAFLD subjects, and (3) determine the risk factors of NAFLD and no-nobese NAFLD.Methods In this door-to-door survey, clinical examination, anthropometric measurements, biochemical tests and ultrasonography were performed on the adult population (≥18 years) of three villages in Bangladesh.Results Of 1682, 1353 (80.44%) responded. After the exclusion of 48 subjects for alcohol consumption, HBsAg or anti-hepatitis C virus positivity, 1305 ((mean age 41.28±15.10 years, female 908 (69.6%)) were included in the final analysis. On ultrasonography, among the study population, 57 (4.4%) non-obese, 185 (14.2%) obese and, overall, 242 (18.5 %, (male 23.40%, female 16.4%, p=0. 003)) participants had NAFLD. NAFLD was detected in 57/804 (7.1%) of non-obese and 185/501 (36.93%) obese participants. Among the lean subjects, 24/592 (4.1%) had NAFLD. Among NAFLD subjects, 57 (23.55%) were non-obese, and 53 (22%) had raised alanine aminotransferase. On multivariate analysis, age >40 years, male gender, metabolic syndrome (MS), diabetes mellitus (DM), abdominal obesity, hypertension, dyslipidaemia and obesity were found as the risk factors for NAFLD. There were no differences in sociodemographic characteristics, DM, MS, abdominal obesity, hypertension and dyslipidaemia between non-obese and obese NAFLD (all p>0.05).Conclusion In this community study in Bangladesh, NAFLD was present in 18.5% participants, one-quarter of whom were non-obese. Apart from body mass index, the metabolic profile was comparable between obese and non-obese NAFLD. Public health measures are needed to control and prevent NAFLD and MS and their adverse health consequences.https://bmjopengastro.bmj.com/content/7/1/e000535.full
spellingShingle M Masudur Rahman
Mazhar Haque
Md Golam Kibria
Hasina Begum
Nigar Sultana
Mahfuza Akhter
A H M Rowshon
Faruqe Ahmed
Mahmud Hasan
Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
BMJ Open Gastroenterology
title Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
title_full Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
title_fullStr Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
title_full_unstemmed Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
title_short Prevalence, risk factors and metabolic profile of the non-obese and obese non-alcoholic fatty liver disease in a rural community of South Asia
title_sort prevalence risk factors and metabolic profile of the non obese and obese non alcoholic fatty liver disease in a rural community of south asia
url https://bmjopengastro.bmj.com/content/7/1/e000535.full
work_keys_str_mv AT mmasudurrahman prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT mazharhaque prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT mdgolamkibria prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT hasinabegum prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT nigarsultana prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT mahfuzaakhter prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT ahmrowshon prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT faruqeahmed prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia
AT mahmudhasan prevalenceriskfactorsandmetabolicprofileofthenonobeseandobesenonalcoholicfattyliverdiseaseinaruralcommunityofsouthasia