Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK).

Autor: Alshaikh AA; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Al-Qahtani FS; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Taresh HMN; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Hayaza RAA; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Alqhtani SSM; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Summan SI; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Al Mansour SA; Asser Center Hospital, Ministry of Health, Abha 62521, Saudi Arabia., Alsultan OHA; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Asiri HYM; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Alqahtani YMS; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Alzailaie WKA; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Alamoud AAA; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia., Ghazy RM; Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia.; Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria 61421, Egypt.
Jazyk: angličtina
Zdroj: Medicina (Kaunas, Lithuania) [Medicina (Kaunas)] 2024 May 07; Vol. 60 (5). Date of Electronic Publication: 2024 May 07.
DOI: 10.3390/medicina60050775
Abstrakt: Background and Objectives : Screening for type 2 diabetes mellitus (DM2) aims to identify asymptomatic individuals who may be at a higher risk, allowing proactive interventions. The objective of this study was to predict the incidence of DM2 and prediabetes in the Saudi population over the next five years. Materials and Methods : The study was conducted in the Aseer region through August 2023 using a cross-sectional survey for data collection. A multistage stratified random sampling technique was adopted, and data were collected through face-to-face interviews using the validated Arabic version of the Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK). Results : In total, 652 individuals were included in the study. Their mean age was 32.0 ± 12.0 years; 53.8% were male, 89.6% were from urban areas, and 55.8% were single. There were statistically significant differences between males and females in AUSDRISK items, including age, history of high blood glucose, use of medications for high blood pressure, smoking, physical activity, and measurements of waist circumference ( p < 0.05). Based on AUSDRISK scores, 46.2% of the included participants were predicted to develop impaired glucose tolerance within the coming five years (65.8% among females vs. 23.6%), and 21.9% were predicted to develop DM2 (35.6% among males vs. 6.0% among females); this difference was statistically significant ( p = 0.0001). Conclusions : Urgent public health action is required to prevent the increasing epidemic of DM2 in Saudi Arabia.
Databáze: MEDLINE