Prevalence rate of non-obese fatty liver disease and related influencing factors

ObjectiveTo investigate the prevalence rate of non-obese fatty liver disease and its influencing factors, and to provide a reference for the prevention and treatment of fatty liver disease. MethodsA total of 23 545 individuals who underwent physical examination in Karamay Central Hospital from Janua...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: DENG Jiang
Formato: article
Lenguaje:ZH
Publicado: Editorial Department of Journal of Clinical Hepatology 2021
Materias:
Acceso en línea:https://doaj.org/article/696f71473bc241368e62056c231f52a5
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:696f71473bc241368e62056c231f52a5
record_format dspace
spelling oai:doaj.org-article:696f71473bc241368e62056c231f52a52021-11-17T11:03:53ZPrevalence rate of non-obese fatty liver disease and related influencing factors1001-5256https://doaj.org/article/696f71473bc241368e62056c231f52a52021-11-01T00:00:00Zhttp://www.lcgdbzz.org/cn/article/doi/10.3969/j.issn.1001-5256.2021.11.022https://doaj.org/toc/1001-5256ObjectiveTo investigate the prevalence rate of non-obese fatty liver disease and its influencing factors, and to provide a reference for the prevention and treatment of fatty liver disease. MethodsA total of 23 545 individuals who underwent physical examination in Karamay Central Hospital from January to December 2015 and had complete data of abdominal ultrasound, body mass index (BMI), age, and sex were screened out to analyze the prevalence rate of fatty liver disease, and 7484 individuals with normal BMI who had complete data of triglyceride (TG), fasting blood glucose, and alanine aminotransferase (ALT) were further screened out to perform a multivariate analysis. The t-test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between groups. A multivariate logistic regression analysis was performed to investigate independent influencing factors for non-obese fatty liver disease. ResultsIn 2015, the prevalence rate of fatty liver disease was 30.2% (7116/23 545) among the individuals who underwent physical examination in Karamay Central Hospital. A stratified analysis based on BMI showed that the individuals with emaciation, normal BMI, overweight, and obesity had a prevalence rate of 0.8% (6/706), 9.3% (919/9899), 38.4% (3404/8870), and 685% (2787/4070), respectively (all P<0.05), and male individuals had a significantly higher prevalence rate of fatty liver disease than female individuals (all P<0.05). Among the 919 patients with non-obese fatty liver disease, young, middle-aged, and elderly patients accounted for 40.7% (374/919), 46.1% (424/919), and 13.2% (121/919), respectively. For the individuals with normal BMI, there was no significant difference in the prevalence rate of fatty liver disease between middle-aged and elderly individuals (14.5% vs 168%, P>0.05), while both of them had a significantly higher prevalence rate than the young individuals (14.5%/16.8% vs 6.0%, P<0.05). Young and middle-aged male individuals had a significantly higher prevalence rate of fatty liver disease than their female counterparts (χ2=99.40 and 43.29, both P<0.001), while the elderly male individuals had a significantly lower prevalence rate than their female counterparts (χ2=9.81, P=0.002). For the individuals with normal BMI, the individuals with normal TG had a prevalence rate of fatty liver disease of 5.0% (311/6273), while those with elevated TG had a prevalence rate of 26.8% (325/1211), with a significant difference between the two groups (χ2=624.90, P<0.001). The multivariate logistic regression analysis showed that age, BMI, ALT, fasting blood glucose, TG, and serum uric acid level were independent influencing factors for fatty liver disease in individuals with normal BMI (all P<0.001). ConclusionThere is a relatively high prevalence rate of non-obese fatty liver disease among individuals undergoing physical examination in Karamay Central Hospital, and 61.5% of the patients with non-obese fatty liver disease have glucose or lipid metabolic disorders. Serum TG level may be used as a simple and effective screening index for non-obese fatty liver disease.DENG JiangEditorial Department of Journal of Clinical HepatologyarticleDiseases of the digestive system. GastroenterologyRC799-869ZHLinchuang Gandanbing Zazhi, Vol 37, Iss 11, Pp 2600-2604 (2021)
institution DOAJ
collection DOAJ
language ZH
topic Diseases of the digestive system. Gastroenterology
RC799-869
spellingShingle Diseases of the digestive system. Gastroenterology
RC799-869
DENG Jiang
Prevalence rate of non-obese fatty liver disease and related influencing factors
description ObjectiveTo investigate the prevalence rate of non-obese fatty liver disease and its influencing factors, and to provide a reference for the prevention and treatment of fatty liver disease. MethodsA total of 23 545 individuals who underwent physical examination in Karamay Central Hospital from January to December 2015 and had complete data of abdominal ultrasound, body mass index (BMI), age, and sex were screened out to analyze the prevalence rate of fatty liver disease, and 7484 individuals with normal BMI who had complete data of triglyceride (TG), fasting blood glucose, and alanine aminotransferase (ALT) were further screened out to perform a multivariate analysis. The t-test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test was used for comparison of categorical data between groups. A multivariate logistic regression analysis was performed to investigate independent influencing factors for non-obese fatty liver disease. ResultsIn 2015, the prevalence rate of fatty liver disease was 30.2% (7116/23 545) among the individuals who underwent physical examination in Karamay Central Hospital. A stratified analysis based on BMI showed that the individuals with emaciation, normal BMI, overweight, and obesity had a prevalence rate of 0.8% (6/706), 9.3% (919/9899), 38.4% (3404/8870), and 685% (2787/4070), respectively (all P<0.05), and male individuals had a significantly higher prevalence rate of fatty liver disease than female individuals (all P<0.05). Among the 919 patients with non-obese fatty liver disease, young, middle-aged, and elderly patients accounted for 40.7% (374/919), 46.1% (424/919), and 13.2% (121/919), respectively. For the individuals with normal BMI, there was no significant difference in the prevalence rate of fatty liver disease between middle-aged and elderly individuals (14.5% vs 168%, P>0.05), while both of them had a significantly higher prevalence rate than the young individuals (14.5%/16.8% vs 6.0%, P<0.05). Young and middle-aged male individuals had a significantly higher prevalence rate of fatty liver disease than their female counterparts (χ2=99.40 and 43.29, both P<0.001), while the elderly male individuals had a significantly lower prevalence rate than their female counterparts (χ2=9.81, P=0.002). For the individuals with normal BMI, the individuals with normal TG had a prevalence rate of fatty liver disease of 5.0% (311/6273), while those with elevated TG had a prevalence rate of 26.8% (325/1211), with a significant difference between the two groups (χ2=624.90, P<0.001). The multivariate logistic regression analysis showed that age, BMI, ALT, fasting blood glucose, TG, and serum uric acid level were independent influencing factors for fatty liver disease in individuals with normal BMI (all P<0.001). ConclusionThere is a relatively high prevalence rate of non-obese fatty liver disease among individuals undergoing physical examination in Karamay Central Hospital, and 61.5% of the patients with non-obese fatty liver disease have glucose or lipid metabolic disorders. Serum TG level may be used as a simple and effective screening index for non-obese fatty liver disease.
format article
author DENG Jiang
author_facet DENG Jiang
author_sort DENG Jiang
title Prevalence rate of non-obese fatty liver disease and related influencing factors
title_short Prevalence rate of non-obese fatty liver disease and related influencing factors
title_full Prevalence rate of non-obese fatty liver disease and related influencing factors
title_fullStr Prevalence rate of non-obese fatty liver disease and related influencing factors
title_full_unstemmed Prevalence rate of non-obese fatty liver disease and related influencing factors
title_sort prevalence rate of non-obese fatty liver disease and related influencing factors
publisher Editorial Department of Journal of Clinical Hepatology
publishDate 2021
url https://doaj.org/article/696f71473bc241368e62056c231f52a5
work_keys_str_mv AT dengjiang prevalencerateofnonobesefattyliverdiseaseandrelatedinfluencingfactors
_version_ 1718425615550382080