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. 2023 Sep 15:16:2835-2842.
doi: 10.2147/DMSO.S425651. eCollection 2023.

Incidence of Metabolic Syndrome and Its Risk Factors in Elderly with Nonalcoholic Fatty Liver Disease

Fang-An Lin  1 , Lee-Ching Hwang  1   2 , Meng-Ting Tsou  1   3 , Wei-Hsin Huang  1   2
Affiliations

Incidence of Metabolic Syndrome and Its Risk Factors in Elderly with Nonalcoholic Fatty Liver Disease

Fang-An Lin et al. Diabetes Metab Syndr Obes. .

Abstract

Purpose: This study aimed to determine the incidence of metabolic syndrome (MetS) and its predictors in older patients with nonalcoholic fatty liver disease.

Patients and methods: This retrospective cohort study analyzed repeated health surveillance data collected between 2009 and 2018 at Mackay Memorial Hospital, Taiwan. MetS was defined based on the modified National Cholesterol Education Program Adult Treatment Panel III (Taiwan revision). Participants were diagnosed with fatty liver disease using abdominal ultrasonography. The exclusion criteria included age <65 years, having viral hepatitis, frequent alcohol consumption, and pre-existing MetS. Logistic regression analysis was conducted, adjusting for sex and age.

Results: We enrolled 758 older participants; 457 (60.3%) with preexisting metabolic syndrome were excluded. We studied the remaining 301 participants (39.7%), with a mean age of 71.3 ± 5.4 years. The cumulative incidence of MetS was 43.5% after a mean follow-up period of 4.2 years; moreover, it was higher in women as well as in participants with diabetes and hypertriglyceridemia. After adjusting for age and sex, we identified the following risk factors for MetS: baseline high fasting plasma glucose levels (adjusted odds ratio [aOR] =1.75; 95% confidence interval [CI] 1.03-2.95), baseline hypertriglyceridemia (aOR = 2.26; 95% CI 1.15-4.47), and baseline large waist circumference (aOR =1.71; 95% CI 1.01-2.89). Furthermore, increased waist circumference and fasting plasma glucose levels at follow-up were significant risk factors.

Conclusion: There is a high incidence of MetS among older individuals with nonalcoholic fatty liver disease; further, women and individuals with diabetes or hypertriglyceridemia are at risk of developing MetS. Moreover, waist circumference and fasting plasma glucose levels were positively associated with the risk of MetS.

Keywords: Incidence; NAFLD; elderly; fatty liver disease; metabolic syndrome.

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Conflict of interest statement

The authors report no conflicts of interest in this work.

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References

    1. Noubiap JJ, Richie Nansseu JR, Lontchi-Yimagou E, et al. Geographic distribution of metabolic syndrome and its components in the general adult population: a meta-analysis of global data from 28 million individuals. Diabetes Res Clin Pract. 2022;188:109924. doi:10.1016/j.diabres.2022.109924 - DOI - PubMed
    1. Thuyen TQ, Duong DH, Nga BTT, et al. Incidence and prediction nomogram for metabolic syndrome in a middle-aged Vietnamese population: a 5-year follow-up study. Endocr. 2022;75(1):108–118. doi:10.1007/s12020-021-02836-5 - DOI - PubMed
    1. Farmanfarma K, Ansari-Moghaddam A, Kaykhaei M, Mohammadi M, Adineh H, Aliabd H. Incidence of and factors associated with metabolic syndrome, south-east Islamic Republic of Iran. East Mediterr Health J. 2021;27(11):1084–1091. doi:10.26719/emhj.21.051 - DOI - PubMed
    1. Hwang JH, Kam S, Shin JY, et al. Incidence of metabolic syndrome and relative importance of five components as a predictor of metabolic syndrome: 5-year follow-up study in Korea. J Korean Med Sci. 2013;28(12):1768–1773. doi:10.3346/jkms.2013.28.12.1768 - DOI - PMC - PubMed
    1. Yang FY, Wahlqvist ML, Lee MS. Body mass index (BMI) as a major factor in the incidence of the metabolic syndrome and its constituents in unaffected Taiwanese from 1998 to 2002. Asia Pac J Clin Nutr. 2008;17(2):339–351. - PubMed