Diabetes & Metabolism Journal

Response

Response: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90–6): Inkyung Baik; Diabetes Metab J. 2019;43(2):244-245. Published online April 15, 2019; DOI: https://doi.org/10.4093/dmj.2019.0060

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Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications
Umair Muneer Butt, Sukumar Letchmunan, Mubashir Ali, Fadratul Hafinaz Hassan, Anees Baqir, Hafiz Husnain Raza Sherazi, Daniel Espino
Journal of Healthcare Engineering.2021; 2021: 1. CrossRef

Original Article

Epidemiology
Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data: Inkyung Baik; Diabetes Metab J. 2019;43(1):90-96. Published online October 31, 2018; DOI: https://doi.org/10.4093/dmj.2018.0043

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Background

A number of studies have reported future prevalence estimates for diabetes mellitus (DM), but these studies have been limited for the Korean population. The present study aimed to construct a forecasting model that includes risk factors for type 2 DM using individual- and national-level data for Korean adults to produce prevalence estimates for the year 2030.

Methods

Time series data from the Korea National Health and Nutrition Examination Survey and national statistics from 2005 to 2013 were used. The study subjects were 13,908 male and 18,697 female adults aged 30 years or older who were free of liver cirrhosis. Stepwise logistic regression analysis was used to select significant factors associated with DM prevalence.

Results

The results showed that survey year, age, sex, marital, educational, or occupational status, the presence of obesity or hypertension, smoking status, alcohol consumption, sleep duration, psychological distress or depression, and fertility rate significantly contributed to the 8-year trend in DM prevalence (P<0.05). Based on sex-specific forecasting models that included the above factors, DM prevalence for the year 2030 was predicted to be 29.2% (95% confidence interval [CI], 27.6% to 30.8%) in men and 19.7% (95% CI, 18.2% to 21.2%) in women.

Conclusion

The present study projected a two-fold increase in the prevalence of DM in 2030 compared with that for the years 2013 and 2014 in Korean adults. Modifiable factors contributing to this increase in DM prevalence, such as obesity, smoking, and psychological factors, may require attention in order to reduce national and individual costs associated with DM.

Citations

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Response: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90–6)
Inkyung Baik
Diabetes & Metabolism Journal.2019; 43(2): 244. CrossRef
Letter: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90–6)
Bo Kyung Koo
Diabetes & Metabolism Journal.2019; 43(2): 242. CrossRef

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