Comparing non-alcoholic fatty liver disease indices in predicting the prevalence and incidence of metabolic syndrome in middle-aged adults

Aims: This study aimed to compare the predictive power of the indices of non-alcoholic fatty liver disease (NAFLD), the fatty liver index (FLI), and the hepatic steatosis index (HSI) for the prevalence and incidence of metabolic syndrome (MetS) in a community-based prospective cohort over a 16-year follow-up period. Methods: Data from the Ansan–Ansung cohort of the Korean Genome and Epidemiology Study were used. We evaluated 8271 participants for MetS prevalence and 5242 participants without MetS at baseline for MetS incidence. Results: The baseline prevalence of MetS was 30.5 %. The FLI and HSI were significantly associated with MetS prevalence, with the FLI showing superior predictive ability compared with the HSI. During the 16-year follow-up period, 2286 participants (43.6 %) developed MetS. Both indices were significantly associated with the incidence of MetS. Time-dependent receiver operating characteristic curve analysis, Harrell's C-index, and integrated discrimination improvement indicated that the FLI demonstrated better predictive power for MetS incidence than the HSI. Conclusions: Given the increasing prevalence of MetS and its health implications, incorporating the FLI into clinical practice can improve early detection and intervention strategies. Future research should investigate the applicability of the FLI in diverse populations and its role in comprehensive MetS management protocols.

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Publication Details

Journal
Heliyon
Published
2025-03-01
DOI
https://doi.org/10.1016/j.heliyon.2025.e43073
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
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article

Comparing non-alcoholic fatty liver disease indices in predicting the prevalence and incidence of metabolic syndrome in middle-aged adults

Byung Sik Kim, Jeong‐Hun Shin, Seongeun Jeon, Dong Wook Kim et al.
2 citations
Heliyon
Liver Disease Diagnosis and Treatment
2.71
article

Comparing non-alcoholic fatty liver disease indices in predicting the prevalence and incidence of metabolic syndrome in middle-aged adults

Byung Sik Kim, Jeong‐Hun Shin, Seongeun Jeon, Dong Wook Kim, Hyun‐Jin Kim, Kyung Hwan Kim
article en
2 citations

Abstract

Aims: This study aimed to compare the predictive power of the indices of non-alcoholic fatty liver disease (NAFLD), the fatty liver index (FLI), and the hepatic steatosis index (HSI) for the prevalence and incidence of metabolic syndrome (MetS) in a community-based prospective cohort over a 16-year follow-up period. Methods: Data from the Ansan–Ansung cohort of the Korean Genome and Epidemiology Study were used. We evaluated 8271 participants for MetS prevalence and 5242 participants without MetS at baseline for MetS incidence. Results: The baseline prevalence of MetS was 30.5 %. The FLI and HSI were significantly associated with MetS prevalence, with the FLI showing superior predictive ability compared with the HSI. During the 16-year follow-up period, 2286 participants (43.6 %) developed MetS. Both indices were significantly associated with the incidence of MetS. Time-dependent receiver operating characteristic curve analysis, Harrell's C-index, and integrated discrimination improvement indicated that the FLI demonstrated better predictive power for MetS incidence than the HSI. Conclusions: Given the increasing prevalence of MetS and its health implications, incorporating the FLI into clinical practice can improve early detection and intervention strategies. Future research should investigate the applicability of the FLI in diverse populations and its role in comprehensive MetS management protocols.

HeliyonVol. 11(7)
Brigham and Women's Hospital (US), Harvard University (US), Hanyang University Guri Hospital (KR), Hanyang University (KR)
Good health and well-being
Openalex Percentile: Top 12%
Liver Disease Diagnosis and Treatment
2.71
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Comparing non-alcoholic fatty liver disease indices in predicting the prevalence and incidence of metabolic syndrome in middle-aged adults — Byung Sik Kim, Jeong‐Hun Shin, et al. · Heliyon (2025) | TGRS Research Map | TGRS