The World Health Organization has ranked Saudi Arabia as having the second highest rate of diabetes in the Middle East (7th highest in the world) with an estimated population of 7 million living with diabetes and more than 3 million with pre-diabetes. This presents a pressing public health problem. Several challenges in diabetes management need to be tackled in Saudi Arabia, including the growing prevalence (chiefly among children and young adults), micro-and macrovascular complications, lifestyle changes, late diagnosis, poor awareness and high treatment costs. Over the last two decades, the Saudi population saw an increase in the expenses in healthcare and treatment of diabetes by more than 500%. In 2014, the health care budget was 180 billion (Saudi Riyal) of which 17 billion was spent on all Saudis, with an approximate 25 billion on the entire Saudi diabetic population. This implies that the direct expense of diabetes is costing Saudi Arabia around 13.9% of the total health expenditure. Therefore, unless a comprehensive epidemic control program/ multidisciplinary approach is stringently enforced, the diabetes mellitus burden on Saudi Arabia will probably increase to very serious levels. It is crucial to implement improved health and health-related quality of life of to those with diabetes, thus minimizing the social and personal expenses for diabetes care in Saudi Arabia. In this study we discuss the significant and major threats posed by diabetes mellitus to the Saudi population and recommend essential possible solutions to delay/ prevent this formidable issue.

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Background/objectives:In the current era of modern technology and the development of smart devices such as the flash glucose monitoring (FGM) systems, patients can easily monitor their glucose levels more frequently without any inconvenience. In this study, we evaluate the effect of FreeStyle Libre FGM system on glycemic control, hypoglycemia, health-related quality of life (QoL), and the fear of hypoglycemia (FOH) among children and young people with type 1 diabetes (T1D).Design and methods:A prospective study was conducted at the Diabetes Treatment Center, Prince Sultan Military Medical City, Riyadh, Saudi Arabia, between January 2017 and May 2017 on 47 (aged 13-19 years) registered patients with T1D who used conventional finger-pricking method for self-testing the glucose. At baseline visit, the FGM sensors were placed on each participant by a trained diabetes educator. The data collected from the sensors were computed to generate the respective ambulatory glucose profiles so as to determine the total number of scans conducted during the study period. At the baseline and at 3 months of the experiment, a trained interviewer administered the questionnaire Hypoglycemia Fear Survey-Child Version (HFS-C) and PedsQL 3.0 (QoL questionnaire) to each patient. The age, sex, weight, height, adjusted body mass index, duration of diabetes, treatment modality, and glycosylated hemoglobin A1c (HbA1c) levels of each patient were recorded.Results:As compared with the baseline, a significant improvement was noted in the behavior of FOH (P = .0001), worry (P = .0001), QoL (P = .002), HbA1c level (P = .008), and hypoglycemia (P = .023) at 3 months. Significant improvement was noted in the behavior (P = .0001), worry (P = .0001), QoL (P = .003), HbA1c level (P = .014), and hypoglycemia (P = .001) among the multiple-dose insulin injection–treated patients as compared with baseline. Significant improvement was noted in the behavior (P = .0001), worry (P = .0001), and hypoglycemia (P = .001) among the insulin pump–treated patients as compared with baseline. A positive correlation was recorded in the behavior (r = .47; P < .001), QoL (r = .70; P < .001), and the mean number of FGM scans. A negative correlation was recorded in the worry (r = −.43; P = .002), HbA1c level (r = −.58; P < .001), hypoglycemia (r = −.65; P < .001), and the mean number of FGM scans.Conclusions:The frequent use of FGM scanning reduced the frequency of hypoglycemia, HbA1c level, and worry and increased the behavior and QoL. As compared with self-testing by the conventional finger-pricking method, the use of FGM increased the frequency of self-testing and thus diabetes control.

Type 1 diabetes mellitus (T1DM) is quite prevalent in the world, with a proportion of 1 in every 300 persons and steadily rising frequency of incidence of about 3% every year. More alarmingly, the incidence of T1DM among infants is also increasing, with children as young as 6 months succumbing to it, instead of that at a rather established vulnerable age of around seven and near puberty, when the hormones antagonize the action of insulin. These reports pose a unique challenge of developing efficient T1DM management system for the young children. The Kingdom of Saudi Arabia (KSA) is the largest country in the Middle East that occupies approximately four-fifths of the Arabian Peninsula supporting a population of more than 33.3 million people, of whom 26% are under the age of 14 years. As per the Diabetes Atlas (8th edition), 35,000 children and adolescents in Saudi Arabia suffer from T1DM, which makes Saudi Arabia rank the 8th in terms of numbers of TIDM patients and 4th country in the world in terms of the incidence rate (33.5 per 100,000 individuals) of TIDM. However, in comparison with that in the developed countries, the number of research interventions on the prevalence, incidence, and the sociodemographic aspects of T1DM is woefully inadequate. In this review we discuss different aspects of T1DM in Saudi Arabia drawing on the published literature currently available.

Aim: To study and explore the intervention of the flash glucose monitoring system (FGMS) on diabetes-related distress (DRD) in children and adolescents with type 1 diabetes (T1D). Methods: A 12-week prospective study was performed from March 2019 to July 2019 involving 187 children and adolescents (age range 13-19 years; 56.7% female) with T1D who were self-testing their glucose levels using the conventional fingerprick method. At the time of the baseline visit, FGMS sensors were fixed by a trained diabetes educator onto each patient in the study population. A trained interviewer also administered the 28-item T1-Diabetes Distress Scale (T1-DDS) questionnaire to each participant at the baseline visit and again after 12 weeks to determine the T1-DDS score. Results: Comparison of the baseline (fingerprick) data with data collected at 12 weeks after the patients had switched to the FGMS revealed a significant decrease in the subdomains of the T1-DDS as follows: powerlessness (p = 0.0001); management distress (p = 0.0001); hypoglycemia distress (p = 0.0001); negative social perceptions (p = 0.0001); eating (p = 0.0001); physician distress (p = 0.0001); friend/family distress (p = 0.0001); and total T1-DDS score (p = 0.0001). Similarly, analysis of the data revealed that there was also a substantial drop from baseline to 12 weeks after initiation of the intervention in the clinical variables assessed, such as glycosylated hemoglobin; specifically, there was a considerable decrease after 12 weeks in the frequency of hypoglycemia. Interestingly, the frequency of glucose monitoring also showed an upswing among users of the FGMS. Conclusion: The outcomes of this study clearly demonstrate that once the patients had been switched from the fingerprick method to FGMS, the DRD and related clinical parameters showed remarkable improvement. However, further studies are necessary to determine whether the continued and consistent use of the FGMS will achieve better results.