J Korean Med Sci.  2016 Mar;31(3):410-416. 10.3346/jkms.2016.31.3.410.

The Risk of Abdominal Obesity according to the Degree of Non-Alcoholic Fatty Liver Disease in Korean Men

• Park SK
• Ryoo JH
• Choi JM
• Seo MW
• Park CM

• KMID: 2363502
• DOI: http://doi.org/10.3346/jkms.2016.31.3.410

Abstract

Although non-alcoholic fatty liver disease has been reported as a cardiometabolic risk factor, the effect of non-alcoholic fatty liver is yet to be clarified on abdominal obesity. Therefore, this study was conducted to investigate the longitudinal relationship of non-alcoholic fatty liver on the development of abdominal obesity. The study participants were composed of 11,212 Korean men without abdominal obesity. They were followed up from 2005 to 2010 to be monitored for the development of abdominal obesity according to their degree of non-alcoholic fatty liver disease (normal, mild, and moderate to severe). Cox-proportional hazard model was used to calculate the hazard ratios for abdominal obesity according to the degree of non-alcoholic fatty liver disease. While the average incidence was 15.5%, the incidence of abdominal obesity increased according to the degree of non-alcoholic fatty liver (normal: 11.6%, mild: 25.2%, moderate to severe: 41.0%, P < 0.001). Multivariable-adjusted hazard ratios for abdominal obesity independently increased proportionally to the degree of NAFLD (mild [1.07; 0.94-1.23], moderate to severe [1.58; 1.11-2.26], P for trend < 0.001). The risk of abdominal obesity increased proportionally to the degree of non-alcoholic fatty liver disease. This finding guarantees further studies to reveal the incidental relationship of abdominal obesity with non-alcoholic fatty liver disease.

Keyword

Non-Alcoholic Fatty Liver Disease; Obesity, Abdominal; Waist Circumference

MeSH Terms

Adult
Asian Continental Ancestry Group
Cohort Studies
Demography
Follow-Up Studies
Humans
Incidence
Male
Non-alcoholic Fatty Liver Disease/complications/*epidemiology
Obesity, Abdominal/*complications/epidemiology
Proportional Hazards Models
Prospective Studies
Republic of Korea/epidemiology
Risk Factors
Waist Circumference

Figure

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  Fig. 1 Flow chart of enrolled study participants.

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