Non-alcoholic fatty liver disease risk prediction model and health management strategies for older Chinese adults: a cross-sectional study.

ABSTRACT:

Background

Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver condition that affects a quarter of the global adult population. To date, only a few NAFLD risk prediction models have been developed for Chinese older adults aged ≥ 60 years. This study presented the development of a risk prediction model for NAFLD in Chinese individuals aged ≥ 60 years and proposed personalised health interventions based on key risk factors to reduce NAFLD incidence among the population.

Methods

A cross-sectional survey was carried out among 9,041 community residents in Shanghai. Three NAFLD risk prediction models (I, II, and III) were constructed using multivariate logistic regression analysis based on the least absolute shrinkage and selection operator regression analysis, and

SUBMITTER: Pan H 

PROVIDER: S-EPMC10675849 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature