Independent Association of Physical Activity with Nonalcoholic Fatty Liver Disease and Alanine Aminotransferase Levels

Jang, Dong Kee; Lee, Jungsoo; Kim, Yeo Hyung

doi:10.3390/jcm8071013

Cited by 16 publications

(9 citation statements)

References 35 publications

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“…HSI is a suitable tool because it has high sensitivity and specificity for detecting NAFLD [20]. Many previous studies have used HSI as a measure of NAFLD [50][51][52]. Second, there is possibility of inaccuracy in the number of excluded participants as the KNHANES is a self-reported survey.…”

Section: Discussionmentioning

confidence: 99%

Trends in the Prevalence of Non-Alcoholic Fatty Liver Disease and Its Future Predictions in Korean Men, 1998–2035

Kang

Kim

Park

2020

JCM

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Non-alcoholic fatty liver disease (NAFLD) is a serious health concern as it can progress to liver cirrhosis and hepatoma. We investigated past trends in the prevalence of NAFLD and related factors among Korean men and women from 1998 to 2017 and predicted their future prevalence among Korean men. We used data from the Korea National Health and Nutrition Examination Survey I–VII (KNHANES). NAFLD was defined as a hepatic steatosis index of >36. Subjects with viral hepatitis, liver cirrhosis, cancer, pregnancy, and a habit of drinking ≥30 g alcohol per occasion were excluded. We evaluated the prevalence trends of NAFLD, obesity, abdominal obesity, high fat intake, and low physical activity in each KNHANES wave. For future prevalence predictions, average annual percentage changes (AAPCs) were estimated from the joinpoint model. In men, NAFLD prevalence has increased by approximately 11 percentage points in the past 19 years, reaching 30.7% in wave VII. Prevalence of obesity, abdominal obesity, high fat intake, and low physical activity also increased. The AAPC of NAFLD prevalence was 2.3% per year, and the estimated NAFLD prevalence in 2030 and 2035 was 39.1% and 43.8%, respectively. The forecasted prevalence of obesity, abdominal obesity, and high fat intake among Korean men in 2035 was 65.0%, 52.2%, and 23.5%, respectively. The estimated future prevalence of NAFLD and related factors was considerably high in the younger age group (19–45 year). In women, NAFLD prevalence has increased by approximately three percentage points in the past 19 years; however, this increase was not significant in the multivariate analysis. Public strategies to manage obesity, abdominal obesity, and unhealthy lifestyles are needed to prevent NAFLD.

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Section: Discussionmentioning

confidence: 99%

Trends in the Prevalence of Non-Alcoholic Fatty Liver Disease and Its Future Predictions in Korean Men, 1998–2035

Kang

Kim

Park

2020

JCM

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“…The ndings are consistent with another study. 28 One study reported that longer sitting time was associated with a higher prevalence of NAFLD. 29 According to a randomized control trial, exercise programs reduced fatty liver index and NAFLDbrosis score among the NAFLD patients.…”

Section: Discussionmentioning

confidence: 99%

Risk Factors for Non-Alcoholic Fatty Liver Disease Among the Patients Admitted to a Teaching Hospital in Sri Lanka: Case Control study

Nissanka¹,

Abeysena

2020

Preprint

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Background: The burden of Non-Alcoholic Fatty Liver Disease (NAFLD) was rising globally. It was the disease condition where there was increase fat deposition (≥5%) in the hepatic cells. The objective of this study was to determine the risk factors for NAFLD among the patients admitted to a Teaching Hospital in Sri Lanka.Methods: A case control study was conducted among the 106 cases with NAFLD and 212 unmatched hospital-based controls without having NAFLD. A case was defined based on the presence of fatty liver according to the diagnostic ultrasonographic criteria. Those were increase echogenicity of the liver compared to kidney and spleen, obliteration of vascular architecture, and deep attenuation of ultrasonic signals. There should be at least two out of three criteria to diagnosed as NAFLD. The data was collected by using an interviewer-administered questionnaire. The risk factors were determined by using multiple logistic regression and the results were interpreted by using adjusted odds ratio (AOR) and 95 % confidence interval (95% CI).Results: The risk factors for NAFLD were found as the fast food consumption more than 1 time per week (AOR=9.34, 95% CI= 4.47-19.49), none consumption of coffee (AOR=2.78, 95% CI= 2.78-1.32), family history of liver disease (AOR=12.2, 95% CI= 2.16-67.97), methotrexate usage (AOR=32.02, 95% CI=1.45-707.29), inadequate physical activity (AOR=8.10, 95% CI= 4.04-16.26), high BMI value more ≥23Kg/m2 (AOR=6.17, 95% CI=2.93-12.99) Being a Sinhalese (AOR=12.7, 95% CI=2.03-79.33).Conclusion: There were seven independent risk factors for NAFLD were identified. Among those, most of the risk factors were modifiable risk factors such as inadequate physical activity, High BMI value (≥ 23Kg/m2) with overweight, infrequent coffee consumption, and increase fast-food consumption. It should be taken primary preventive strategies for those modifiable risk factors to prevent NAFLD.

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“…These ndings are consistent with another study. 28 One study reported that longer sitting time was associated with a higher prevalence of NAFLD. 29 According to a randomized control trial, exercise programs reduced fatty liver index and NAFLD-brosis score among the NAFLD patients.…”

Section: Discussionmentioning

confidence: 99%

Risk factors for Non-Alcoholic Fatty Liver disease among the patients admitted to a Teaching Hospital in Sri Lanka: Case Control study

Nissanka¹,

Abeysena²

2020

Preprint

View full text Add to dashboard Cite

Background: The burden of Non-Alcoholic Fatty Liver Disease (NAFLD) was rising globally. It is the disease condition where there is an increased fat deposition (≥5%) in the hepatic cells. The objective of this study was to determine the risk factors for NAFLD among the patients admitted to a Teaching Hospital in Sri Lanka.Methods: A case control study was conducted among the 106 cases with NAFLD and 212 unmatched hospital-based controls without having NAFLD. A case was defined based on the presence of fatty liver, according to the diagnostic ultrasonographic criteria. Three factors were used in diagnosing a patient with NAFLD. They include, increase echogenicity of the liver compared to kidney and spleen, obliteration of vascular architecture and deep attenuation of ultrasonic signals. Presence of at least two out of the above was considered as NAFLD. The data was collected by using an interviewer-administered questionnaire. The risk factors were determined by performing a multiple logistic regression and the results were expressed as adjusted odds ratios (AOR) and 95 % confidence interval (95% CI).Results: Risk factors for NAFLD include consumption of fast food ≥2 time per week (AOR=9.34, 95% CI= 4.47-19.5), infrequent coffee consumption (AOR=2.78, 95% CI= 1.32-5.88), family history of liver disease (AOR=12.2, 95% CI= 2.16-67.9), methotrexate usage (AOR=32.0, 95% CI=1.45-tet707.3), inadequate physical activity (AOR=8.10, 95% CI= 4.04-16.3), having a high BMI value more ≥23Kg/m2 (AOR=6.17, 95% CI=2.93-13.0) and being a Sinhalese (AOR=12.7, 95% CI=2.03-79.3).Conclusion: Most of the risk factors were modifiable such as inadequate physical activity, overweight, infrequent coffee consumption and frequent consumption of fast-food. Primary preventive strategies for those modifiable risk factors should be implemented to prevent NAFLD.

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Independent Association of Physical Activity with Nonalcoholic Fatty Liver Disease and Alanine Aminotransferase Levels

Cited by 16 publications

References 35 publications

Trends in the Prevalence of Non-Alcoholic Fatty Liver Disease and Its Future Predictions in Korean Men, 1998–2035

Trends in the Prevalence of Non-Alcoholic Fatty Liver Disease and Its Future Predictions in Korean Men, 1998–2035

Risk Factors for Non-Alcoholic Fatty Liver Disease Among the Patients Admitted to a Teaching Hospital in Sri Lanka: Case Control study

Risk factors for Non-Alcoholic Fatty Liver disease among the patients admitted to a Teaching Hospital in Sri Lanka: Case Control study

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