Author:
Che Ying,Tang Rongsong,Zhang Heli,Yang Min,Geng Rongmei,Zhuo Lin,Wang Peng,Hu Xianjing,Zhou Yujie,Wang Panfeng,Zhan Siyan,Li Baohua
Abstract
Abstract
Background
Nonalcoholic fatty liver disease (NAFLD) is gradually becoming a huge threat to public health. With complex working characteristics, female nurses had been found with high risk of NAFLD. To develop and validate a prediction model to predict the prevalence of NAFLD based on demographic characteristics, work situation, daily lifestyle and laboratory tests in female nurses.
Methods
This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), and data were extracted from the first-year follow data collected from 1st June to 1st September 2021 by questionnaires and physical examination records in a comprehensive tertiary hospital. The questionnaires included demographic characteristics, work situation and daily lifestyle. Logistic regression and a nomogram were used to develop and validate the prediction model.
Results
A total of 824 female nurses were included in this study. Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, HDL-C, UA, BMI, TBil and Ca were independent risk factors for NAFLD occurance. A prediction model for predicting the prevalence of NAFLD among female nurses was developed and verified in this study.
Conclusion
Living situation, smoking history, monthly night shift, daily sleep time, ALT/AST, FBG, TG, UA, BMI and Ca were independent predictors, while HDL-C and Tbil were independent protective indicators of NAFLD occurance. The prediction model and nomogram could be applied to predict the prevalence of NAFLD among female nurses, which could be used in health improvement.
Trial registration
This study was a part of the Chinese Nurse Cohort Study (The National Nurse Health Study, NNHS), which was a ambispective cohort study contained past data and registered at Clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT04572347) and the China Cohort Consortium (http://chinacohort.bjmu.edu.cn/project/102/).
Funder
Peking University Third Hospital
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Liu J, Tian Y, Fu X, Mu C, Yao M, Ni Y, Liu Y, Li Z. Estimating global prevalence, incidence, and outcomes of non-alcoholic fatty Liver Disease from 2000 to 2021: systematic review and meta-analysis. Chin Med J. 2022;135(14):1682–91. https://doi.org/10.1097/cm9.0000000000002277 .
2. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology (Baltimore. Md). 2016;64(1):73–84. https://doi.org/10.1002/hep.28431 .
3. Zhou F, Zhou J, Wang W, Zhang XJ, Ji YX, Zhang P, She ZG, Zhu L, Cai J, Li H. (2019). Unexpected Rapid Increase in the Burden of NAFLD in China From 2008 to 2018: A Systematic Review and Meta-Analysis. Hepatology (Baltimore, Md).70(4):1119-33. https://doi.org/10.1002/hep.30702 .
4. Fatty Liver and Alcoholic Liver Disease Group CAoH. National Workshop on fatty liver and alcoholic Liver Disease,Chinese Society of Hepatology,Chinese Medical Association;fatty liver Expert Committee,Chinese Medical Doctor Association. J Clin Hepatol. 2018;34(05):947–57.
5. Heda R, Yazawa M, Shi M, Bhaskaran M, Aloor FZ, Thuluvath PJ, Satapathy SK. (2021). Non-alcoholic fatty liver and chronic kidney disease: Retrospect, introspect, and prospect. World journal of gastroenterology.27(17):1864-82. https://doi.org/10.3748/wjg.v27.i17.1864 .