The next 12-year Risk Assessment of Diabetes for People Aged between 15-34 years in The pilot area used smart village health volunteers from Phichit province.

Abstract

This cross-sectional analytical study aimed to assess the risk of developing diabetes over the next 12 years among individuals aged 15-34 years in a pilot area of digital technology implementation through smart village health volunteers in Phichit Province. The study included 138 participants. The research instrument was a type 2 diabetes risk assessment form, with data collected through a smart village health volunteer application. Data were analyzed using descriptive statistics, including frequency, percentage, mean, standard deviation, minimum-maximum values, and multiple logistic regression analysis with 95% confidence interval (CI) at a statistical significance level of 0.005. The results showed that the sample group had a high risk of developing diabetes over the next 12 years (mean = 15.20, SD = 14.82).

Factors significantly associated with a high or very high risk of developing diabetes in the next 12 years were sex (Adj. OR = 4.79, 95% CI: 1.92-11.91, p-value = 0.001), body mass index (BMI) (Adj. OR = 46.31, 95% CI: 12.47-172.04, p-value < 0.001), and family history of diabetes in first-degree relatives (Adj. OR = 18.33, 95% CI: 6.30-53.32, p-value < 0.001). Recommendations emphasize health literacy enhancement among the population aged 15-34 years who are overweight and/or have a family history of diabetes in first-degree relatives. This would build knowledge and awareness of risk factors and enable them to prevent themselves from developing diabetes in the future.