Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK)
<i>Background and Objectives</i>: 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...
| Published in: | Medicina |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
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MDPI AG
2024-05-01
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| Online Access: | https://www.mdpi.com/1648-9144/60/5/775 |
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| author | Ayoub Ali Alshaikh Faisal Saeed Al-Qahtani Hassan Misfer N Taresh Rand Abdullah A Hayaza Sultan Saeed M Alqhtani Sarah Ibrahim Summan Sultan Abdullah Al Mansour Omar Hezam A Alsultan Hassan Yahya M Asiri Yazeed Mohammed S Alqahtani Waleed Khaled A Alzailaie Ahmed Abdullah A Alamoud Ramy Mohamed Ghazy |
| author_facet | Ayoub Ali Alshaikh Faisal Saeed Al-Qahtani Hassan Misfer N Taresh Rand Abdullah A Hayaza Sultan Saeed M Alqhtani Sarah Ibrahim Summan Sultan Abdullah Al Mansour Omar Hezam A Alsultan Hassan Yahya M Asiri Yazeed Mohammed S Alqahtani Waleed Khaled A Alzailaie Ahmed Abdullah A Alamoud Ramy Mohamed Ghazy |
| author_sort | Ayoub Ali Alshaikh |
| collection | DOAJ |
| container_title | Medicina |
| description | <i>Background and Objectives</i>: 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. <i>Materials and Methods</i>: 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). <i>Results</i>: 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 (<i>p</i> < 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 (<i>p</i> = 0.0001). <i>Conclusions</i>: Urgent public health action is required to prevent the increasing epidemic of DM2 in Saudi Arabia. |
| format | Article |
| id | doaj-art-80ced878049f4e63a5d9794dfff4fd72 |
| institution | Directory of Open Access Journals |
| issn | 1010-660X 1648-9144 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| spelling | doaj-art-80ced878049f4e63a5d9794dfff4fd722025-08-19T23:06:55ZengMDPI AGMedicina1010-660X1648-91442024-05-0160577510.3390/medicina60050775Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK)Ayoub Ali Alshaikh0Faisal Saeed Al-Qahtani1Hassan Misfer N Taresh2Rand Abdullah A Hayaza3Sultan Saeed M Alqhtani4Sarah Ibrahim Summan5Sultan Abdullah Al Mansour6Omar Hezam A Alsultan7Hassan Yahya M Asiri8Yazeed Mohammed S Alqahtani9Waleed Khaled A Alzailaie10Ahmed Abdullah A Alamoud11Ramy Mohamed Ghazy12Family and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaAsser Center Hospital, Ministry of Health, Abha 62521, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi ArabiaFamily and Community Medicine Department, College of Medicine, King Khalid University, Abha 61423, Saudi Arabia<i>Background and Objectives</i>: 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. <i>Materials and Methods</i>: 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). <i>Results</i>: 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 (<i>p</i> < 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 (<i>p</i> = 0.0001). <i>Conclusions</i>: Urgent public health action is required to prevent the increasing epidemic of DM2 in Saudi Arabia.https://www.mdpi.com/1648-9144/60/5/775diabetes mellitusprediabetesSaudi ArabiapredictionAUSDRISK |
| spellingShingle | Ayoub Ali Alshaikh Faisal Saeed Al-Qahtani Hassan Misfer N Taresh Rand Abdullah A Hayaza Sultan Saeed M Alqhtani Sarah Ibrahim Summan Sultan Abdullah Al Mansour Omar Hezam A Alsultan Hassan Yahya M Asiri Yazeed Mohammed S Alqahtani Waleed Khaled A Alzailaie Ahmed Abdullah A Alamoud Ramy Mohamed Ghazy Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) diabetes mellitus prediabetes Saudi Arabia prediction AUSDRISK |
| title | Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) |
| title_full | Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) |
| title_fullStr | Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) |
| title_full_unstemmed | Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) |
| title_short | Prediction of Diabetes and Prediabetes among the Saudi Population Using a Non-Invasive Tool (AUSDRISK) |
| title_sort | prediction of diabetes and prediabetes among the saudi population using a non invasive tool ausdrisk |
| topic | diabetes mellitus prediabetes Saudi Arabia prediction AUSDRISK |
| url | https://www.mdpi.com/1648-9144/60/5/775 |
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