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Metabolic Syndrome Is Associated with Cataract in a Large Taiwanese Population Study.

Jung-Hsiu ChangI-Hua ChenJiun-Hung GengPei-Yu WuJiun-Chi HuangSzu-Chia Chen
Published in: Nutrients (2022)
Cataract is the leading cause of blindness worldwide, and metabolic syndrome (MetS) is a known risk factor. In this study, we investigated the association between the risk of cataract with MetS and its components in a large-scale study. Data were derived from the Taiwan Biobank, and 121,380 individuals were included. The NCEP-ATP III criteria modified for use in an Asian population were used to define MetS and its components. The occurrence of cataract was identified through a standardized interview and self-reported questionnaire. Multivariable analysis showed that MetS (OR, 1.129; 95% CI, 1.0175-1.184; p < 0.001), low high-density lipoprotein (HDL)-cholesterol (OR, 1.057; 95% CI, 1.005-1.113; p = 0.032), and hyperglycemia (OR, 1.162; 95% CI, 1.108-1.218; p < 0.001) were significantly associated with cataract. Furthermore, a stepwise increase in the prevalence of cataract corresponding to the number of MetS components was found. The presence of three MetS components (vs. 0; OR, 1.103; 95% CI, 1.024-1.188; p = 0.010), four MetS components (vs. 0; OR, 1.137; 95% CI, 1.040-1.242; p = 0.005), and five MetS components (vs. 0; OR, 1.208; 95% CI, 1.059-1.378; p = 0.005) were significantly associated with cataract. In conclusion, significant associations were found between a high incidence of cataract with MetS and its components, including low HDL-cholesterolemia and hyperglycemia. Further, a stepwise increase in the prevalence of cataract corresponding to the number of MetS components was also found. The results of this study indicate that MetS may increase the development of cataract in Taiwan.
Keyphrases
  • metabolic syndrome
  • risk factors
  • cataract surgery
  • high density
  • risk assessment
  • machine learning
  • oxidative stress
  • mass spectrometry
  • skeletal muscle
  • deep learning
  • cardiovascular risk factors
  • low density lipoprotein