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Open Access 01-12-2024 | Fatty Liver | Research

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

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

Published in: BMC Gastroenterology | Issue 1/2024

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/).

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Title: 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
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
Publication date: 01-12-2024
Publisher: BioMed Central
Keyword: Fatty Liver
Published in: BMC Gastroenterology / Issue 1/2024
Electronic ISSN: 1471-230X
DOI: https://doi.org/10.1186/s12876-024-03121-1

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