4.3 Article

BMI history and risk of incident fatty liver: a population-based large-scale cohort study

Journal

EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY
Volume 28, Issue 10, Pages 1188-1193

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MEG.0000000000000682

Keywords

BMI; epidemiology; metabolic syndrome; nonalcoholic fatty liver disease; weight gain

Funding

  1. Japan Society for the Promotion of Science [23790791]
  2. Grants-in-Aid for Scientific Research [23790791] Funding Source: KAKEN

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Background and aimsMost physicians might consider that fatty liver would develop along with increasing body weight; however, an association between BMI history and incident fatty liver has not been clarified as yet.MethodsWe carried out a population-based cohort study that included 4427 healthy Japanese individuals who received yearly health-checkup programs over a decade. Fatty liver was diagnosed using ultrasonography.ResultsDuring the observational period, 38.7% (case/N=1002/2588) of men and 17.3% (319/1847) of women were diagnosed with fatty liver. Among these, only 18.9% (189 of 1002 participants) of men and 18.5% (59 of 319) of women developed fatty liver when they reached the lifetime maximum BMI. Adjusted odds ratio of the difference between lifetime maximum BMI and BMI at age 20 years (BMImax-20 years) for incident fatty liver was 1.33 [95% confidence interval (CI) 1.28-1.39, P<0.001] in men or 1.40 (95% CI 1.33-1.49, P<0.001) in women. According to receiver operator characteristic (ROC) analysis, the optimal cut-off points of BMImax-20 years for incident fatty liver were 4.82kg/m(2) [area under ROC curve 0.70 (95% CI 0.68-0.72), P<0.001] in men and 4.11kg/m(2) [area under ROC curve 0.76 (95% CI 0.73-0.79), P<0.001] in women.ConclusionThe BMImax-20 years was associated with an increased risk of incident fatty liver. In addition, more patients developed fatty liver not at the maximum point of BMI history, but after that. Therefore, it is useful to check BMImax-20 years and to continue observing the individuals for detection of fatty liver.

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