Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco

Background. The prevalence, risk factors and screening for the problem of non-alcoholic fatty liver disease linked to obesity are not well known in Morocco. The diagnosis of this disease by biopsy is invasive and the assessment of its severity by ultrasound shows variability in observation. Objecti...

Full description

Bibliographic Details
Main Authors: Habiba Liba, Rekia Belahsen
Format: Article
Language:English
Published: National Institute of Public Health - National Institute of Hygiene 2022-09-01
Series:Roczniki Panstwowego Zakladu Higieny
Subjects:
Online Access:http://wydawnictwa.pzh.gov.pl/roczniki_pzh/models-to-predict-non-alcoholic-fatty-liver-disease-linked-to-obesity-in-morocco?lang=pl
_version_ 1797988008732917760
author Habiba Liba
Rekia Belahsen
author_facet Habiba Liba
Rekia Belahsen
author_sort Habiba Liba
collection DOAJ
description Background. The prevalence, risk factors and screening for the problem of non-alcoholic fatty liver disease linked to obesity are not well known in Morocco. The diagnosis of this disease by biopsy is invasive and the assessment of its severity by ultrasound shows variability in observation. Objective. The aim of this retrospective study is to estimate the prevalence of NAFLD linked to obesity, to determine the risk factors associated with it and to develop a non-invasive procedure as a method of diagnosing this disease in Morocco.  Material and Methods. It’s a retrospective study. The collection of anthropometric, clinical, biochemical, and radiological data over a period from 2014 to 2018 were captured from registers of patients at the Med VI University Hospital in Marrakech. Data were analyzed using SPSS version 26 software. Descriptive statistics were presented using frequencies and means +/- standard deviation to describe categorical and numeric data respectively. Pearson's chi-square test was used to test the association between categories of two independent samples. Multinomial logistic regression is used to find disease risk factors and models to predict non-alcoholic fatty liver disease (NAFLD) linked to obesity in Morocco. Results. Gender, increased age, body mass index, alanine aminotransferase, triglycerides, C-reactive protein, alkaline phosphatase, gamma-glutamyl transferase were significantly correlated with NAFLD and its evolvement. Conclusion. The prevalence of NAFLD linked to obesity is an alarming problem in Morocco. It was 83.5%. Age, gender, body mass index, alanine aminotransferase, triglycerides, C-reactive protein, alkaline phosphatase and gamma-glutamyl transferase are risk factors for NAFLD and its severity. It were used to develop two algorithms that can be used, as a more objective and non-invasive screening method for NAFLD.
first_indexed 2024-04-11T07:57:07Z
format Article
id doaj.art-81d688240be543ca9d154afbf0805346
institution Directory Open Access Journal
issn 0035-7715
2451-2311
language English
last_indexed 2024-04-11T07:57:07Z
publishDate 2022-09-01
publisher National Institute of Public Health - National Institute of Hygiene
record_format Article
series Roczniki Panstwowego Zakladu Higieny
spelling doaj.art-81d688240be543ca9d154afbf08053462022-12-22T04:35:54ZengNational Institute of Public Health - National Institute of HygieneRoczniki Panstwowego Zakladu Higieny0035-77152451-23112022-09-0173332533210.32394/rpzh.2022.0223Models to predict non-alcoholic fatty liver disease linked to obesity in MoroccoHabiba Liba0https://orcid.org/0000-0002-2258-1315Rekia Belahsen1https://orcid.org/0000-0002-5641-5809Laboratory of Biotechnology, Biochemistry & Nutrition, Training and Research Unit on Nutrition & Food Sciences, Chouaib Doukkali University, Faculty of Sciences, El Jadida, MoroccoLaboratory of Biotechnology, Biochemistry & Nutrition, Training and Research Unit on Nutrition & Food Sciences, Chouaib Doukkali University, Faculty of Sciences, El Jadida, MoroccoBackground. The prevalence, risk factors and screening for the problem of non-alcoholic fatty liver disease linked to obesity are not well known in Morocco. The diagnosis of this disease by biopsy is invasive and the assessment of its severity by ultrasound shows variability in observation. Objective. The aim of this retrospective study is to estimate the prevalence of NAFLD linked to obesity, to determine the risk factors associated with it and to develop a non-invasive procedure as a method of diagnosing this disease in Morocco.  Material and Methods. It’s a retrospective study. The collection of anthropometric, clinical, biochemical, and radiological data over a period from 2014 to 2018 were captured from registers of patients at the Med VI University Hospital in Marrakech. Data were analyzed using SPSS version 26 software. Descriptive statistics were presented using frequencies and means +/- standard deviation to describe categorical and numeric data respectively. Pearson's chi-square test was used to test the association between categories of two independent samples. Multinomial logistic regression is used to find disease risk factors and models to predict non-alcoholic fatty liver disease (NAFLD) linked to obesity in Morocco. Results. Gender, increased age, body mass index, alanine aminotransferase, triglycerides, C-reactive protein, alkaline phosphatase, gamma-glutamyl transferase were significantly correlated with NAFLD and its evolvement. Conclusion. The prevalence of NAFLD linked to obesity is an alarming problem in Morocco. It was 83.5%. Age, gender, body mass index, alanine aminotransferase, triglycerides, C-reactive protein, alkaline phosphatase and gamma-glutamyl transferase are risk factors for NAFLD and its severity. It were used to develop two algorithms that can be used, as a more objective and non-invasive screening method for NAFLD.http://wydawnictwa.pzh.gov.pl/roczniki_pzh/models-to-predict-non-alcoholic-fatty-liver-disease-linked-to-obesity-in-morocco?lang=plnafldobesityprevalencenon-invasive screening method
spellingShingle Habiba Liba
Rekia Belahsen
Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
Roczniki Panstwowego Zakladu Higieny
nafld
obesity
prevalence
non-invasive screening method
title Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
title_full Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
title_fullStr Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
title_full_unstemmed Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
title_short Models to predict non-alcoholic fatty liver disease linked to obesity in Morocco
title_sort models to predict non alcoholic fatty liver disease linked to obesity in morocco
topic nafld
obesity
prevalence
non-invasive screening method
url http://wydawnictwa.pzh.gov.pl/roczniki_pzh/models-to-predict-non-alcoholic-fatty-liver-disease-linked-to-obesity-in-morocco?lang=pl
work_keys_str_mv AT habibaliba modelstopredictnonalcoholicfattyliverdiseaselinkedtoobesityinmorocco
AT rekiabelahsen modelstopredictnonalcoholicfattyliverdiseaselinkedtoobesityinmorocco