Development of a prediction model for predicting the prevalence of nonalcoholic fatty liver disease in Chinese nurses: the first-year follow data of a web-based ambispective cohort study

Development of a prediction model for predicting the prevalence of nonalcoholic fatty liver disease in Chinese nurses: the first-year follow data of a web-based ambispective cohort study

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 demogr...

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Bibliographic Details
Main Authors: Ying Che, Rongsong Tang, Heli Zhang, Min Yang, Rongmei Geng, Lin Zhuo, Peng Wang, Xianjing Hu, Yujie Zhou, Panfeng Wang, Siyan Zhan, Baohua Li
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Gastroenterology
Subjects:
Female
Nurses
Non-alcoholic fatty Liver Disease
Nomograms
Cohort studies
Online Access:https://doi.org/10.1186/s12876-024-03121-1

Internet

https://doi.org/10.1186/s12876-024-03121-1

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