Sex‐ and age‐specific determinants of diabetes: Insights from BKMR and cox modelling of metabolic and lifestyle risk factors in a Korean cohort
Authors' conclusion
These findings suggest that sex- and age-specific intervention prioritization may be helpful in improving the effectiveness of public health strategies for diabetes prevention.
Study context
- Population
- Middle-aged and older adults, community-based cohort of the Korean Genome and Epidemiology Study
- Outcome
- Incident diabetes in relation to 5 metabolic (WC, mean arterial pressure, TG, HDL-C, alanine aminotransferase) and 5 lifestyle risk factors (sleep duration, alcohol consumption, cumulative smoking, physical activity, dietary diversity score)
Methodological detailscommunity-based, sex- and age-specific sub-cohorts at ages 45, 55 and 65 years, hierarchical Bayesian Kernel Machine Regression, Cox modelling
- Community-based
- Sex- and age-specific sub-cohorts at ages 45, 55 and 65 years
- Hierarchical Bayesian Kernel Machine Regression
- Cox modelling
Main finding
As reported in the abstract
Incident diabetes
Incidence of diabetes across sub-cohorts
8.8% to 13.4%
Collective association of the 10 risk factors, men
0.39 to 0.46
Collective association of the 10 risk factors, women (relatively weaker in older women)
0.26 to 0.45
Observational data: associations, not effects.
Original publication
Sex‐ and age‐specific determinants of diabetes: Insights from BKMR and cox modelling of metabolic and lifestyle risk factors in a Korean cohort. Diabetes Obes Metab. Published 2 July 2025. doi:10.
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