Lifestyle determinants as predictor of severity of metabolic associated fatty liver disease (MAFLD)

Background Metabolic-associated fatty liver disease (MAFLD) is a public health issue that can result in liver cirrhosis and its complications. Aim of work Assess the dietary pattern, physical activity, and sleep quality of MAFLD patients. Methods Cross-sectional study of 77 MAFLD patients being pres...

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Bibliographic Details
Published inEgyptian Liver Journal Vol. 13; no. 1; pp. 47 - 10
Main Authors Attia, Abeer, Labib, Nargis Albert, Abdelzaher, Noha Essameldin Elsayed, Musa, Sherief, Atef, Mira
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 19.09.2023
Springer Nature B.V
SpringerOpen
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Summary:Background Metabolic-associated fatty liver disease (MAFLD) is a public health issue that can result in liver cirrhosis and its complications. Aim of work Assess the dietary pattern, physical activity, and sleep quality of MAFLD patients. Methods Cross-sectional study of 77 MAFLD patients being present in the outpatient clinic of Endemic Medicine Department at Cairo University Hospital. An interview questionnaire including sociodemographic, medical history, validated food frequency questionnaire (FFQ), Pittsburg Sleep Quality Index (PSQI), and international physical activity questionnaire (IPAQ) were utilized to collect data. Results Among patients, 36%, 34%, and 30% had liver steatosis grades I (mild), II (moderate), and III (severe) respectively. Waist circumference, body mass index (BMI), daily caloric and carbohydrate intake, impaired sleep quality, and low physical activity were significantly linked with steatosis grades. The independent significant predictors for MAFLD severity were waist circumference ( P  = 0.011, OR 1.119), poor sleep quality ( P  = 0.038, OR 3.871), habitual sleep efficiency (OR 3.402, 95%CI 1.403–8.252), daytime dysfunction (OR 2.487, 95%CI 1.374–4.501), and physical activity ( P  = 0.027, OR 4.6). Conclusion Waist circumference, poor sleep quality, habitual sleep efficiency, daytime dysfunction, and low physical activity were the real marked predictors for MAFLD severity.
ISSN:2090-6218
2090-6226
DOI:10.1186/s43066-023-00282-8