Metabolic characteristics of nonalcoholic fatty liver disease and related risk factors in non-obese population
10.3969/j.issn.1001-5256.2020.06.024
- VernacularTitle:非肥胖人群非酒精性脂肪性肝病代谢特征及危险因素分析
- Author:
Tian TIAN
1
;
Wenwei HU
;
Xue LI
;
Ji LI
;
Dan ZHANG
;
Changzheng LI
Author Information
1. Department of Gastroenterology, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
- Publication Type:Research Article
- Keywords:
obesity, abdominal;
non-alcoholic fatty liver disease;
metabolic syndrome X;
risk factors
- From:
Journal of Clinical Hepatology
2020;36(6):1310-1313
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the metabolic characteristics of nonalcoholic fatty liver disease (NAFLD) and related risk factors in non-obese population. MethodsA retrospective analysis were performed for 12 125 individuals who underwent physical examination in Physical Examination Center of PLA Rocket Force Characteristic Medical Center from July 2013 to April 2019. According to body mass index (BMI) ＜25 kg/m2, these individuals were divided into non-obese group with 8528 individuals and obese group with 3597 individuals; according to the results of abdominal ultrasound, the non-obese group was further divided into NAFLD group with 1025 individuals and non-NAFLD group with 7503 individuals. According to BMI ＜25 kg/m2, 3281 individuals with NAFLD were divided into non-obese NAFLD subgroup with 1025 individuals and obese NAFLD group with 2256 individuals. Related clinical data were collected, including sex, age, BMI, fasting blood glucose, uric acid, total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, and hemoglobin. Non-normally distributed continuous data were expressed as M(P25-P75), and the Mann-Whitney U test was used for comparison between groups; the chi-square test was used for comparison of categorical data between groups. A multivariate logistic regression analysis was performed to investigate risk factors. ResultsAmong the 12 125 individuals who underwent the physical examination, the detection rate of NAFLD was 27.06%, and the detection rate of non-obese NAFLD was 8.45%, accounting for 12.02% of the non-obese population. The multivariate logistic regression analysis, based on the univariate analysis, had a diagnostic accordance rate of 89%, and the results showed that the increase in age, BMI, fasting blood glucose, uric acid, triglyceride, low-density lipoprotein, and hemoglobin were independent risk factors for non-obese NAFLD (odds ratio ［OR］=1.043, 1.716, 1.161, 1.004, 1.791, 2.587, and 1.011, P＜0.001, ＜0.001, =0.001, ＜0.001, ＜0.001, ＜0.001, and =0.011), suggesting that non-obese NAFLD had the strongest association with low-density lipoprotein and had no association with age, uric acid, and hemoglobin. Total cholesterol and high-density lipoprotein were non-susceptible factors for non-obese NAFLD (OR=0.521 and 0.523, P=0.007 and 0.024). ConclusionNon-obese NAFLD is closely associated with metabolic disorders, and further studies are needed to explore the association between serum cholesterol and non-obese NAFLD.
