Modeling the natural history of fatty liver using lifestyle–related risk factors: Effects of body mass index (BMI) on the life–course of fatty liver


Autoři: Mika Aizawa aff001;  Seiichi Inagaki aff002;  Michiko Moriyama aff003;  Kenichiro Asano aff004;  Masayuki Kakehashi aff001
Působiště autorů: Department of Health Informatics, Graduate School of Biomedical & Health Sciences, Hiroshima University, Kasumi, Hiroshima, Japan aff001;  International University of Health and Welfare, Narita, Chiba, Japan aff002;  Department of Chronic Care and Family Nursing, Graduate School of Biomedical & Health Sciences, Hiroshima University, Kasumi, Hiroshima, Japan aff003;  Human Resources Department Health Management Promotion Office, Fujikura Ltd. Kiba, Koto Ward, Tokyo, Japan aff004
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223683

Souhrn

Background

Incident fatty liver increases the risk of nonalcoholic fatty liver disease (NAFLD), which may lead to end-stage liver diseases, and increase the risk of cardiovascular disease and diabetes. For its prevention, modeling the natural history of fatty liver is useful to demonstrate which lifestyle-related risk factors (e.g. body mass index and cholesterol) play the greatest role in the life-course of fatty liver.

Methods

Model predictors and their predictive algorithms were determined by prospective regression analyses using 5–year data from approximately 2000 Japanese men aged 20–69 years. The participants underwent health examinations and completed questionnaires on their lifestyle behaviors annually from 2012 to 2016. The life–course of fatty liver was simulated based on this participant data using Monte Carlo simulation methods. Sensitivity analyses were performed. The validity of the model was discussed.

Results

The body mass index (BMI) and low–density/high–density lipoprotein cholesterol (LDL–C/HDL–C) ratio significantly aided in predicting incident fatty liver. When the natural history of fatty liver was simulated using the data of participants aged 30–39 years, the prevalence increased from 20% to 32% at 40–59 years before decreasing to 24% at 70–79 years. When annual updates of BMI and LDL–C/HDL–C ratio decreased/increased by 1%, the peak prevalence of fatty liver (32%) changed by −8.0/10.7% and −1.6/1.4%, respectively.

Conclusions

We modeled the natural history of fatty liver for adult Japanese men. The model includes BMI and LDL‒C/HDL‒C ratio, which played a significant role in predicting the presence of fatty liver. Specifically, annual changes in BMI of individuals more strongly affected the life‒course of fatty liver than those in the LDL–C/HDL–C ratio. Sustainable BMI control for individuals may be the most effective option for preventing fatty liver in a population.

Klíčová slova:

Alcohol consumption – Algorithms – Fatty liver – Cholesterol – Medical risk factors – Monte Carlo method – Regression analysis – Simulation and modeling


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