Challenges associated with treating children with diabetes in Saudi Arabia

Perceived School Experience of Children and Adolescents With Type 1 Diabetes in the Kingdom of Saudi Arabia

BACKGROUND AND OBJECTIVE

Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children globally affecting more than 1.2 million children worldwide. It is challenging to manage in children and adolescents, as it can have much more serious psychosocial impacts in these groups. The objective of this study was to investigate the perceived experience of children and adolescents with T1DM regarding the management of their condition while in school.

METHODS

 We used a cross-sectional study design with descriptive statistics and non-probability consecutive sampling in this work. This study was conducted at the Department of Pediatrics, Qassim Armed Forces Hospital, Al-Qassim, Saudi Arabia, from July 2018 to December 2018. In this study, we included 84 school-aged children and adolescents from various schools in the Qassim region of the Kingdom of Saudi Arabia who had T1DM and met the inclusion criteria. After we obtained written informed consent from the participants, they filled out a survey questionnaire about their perceived school experience while being a T1DM patient.

RESULTS

 Although most of the children believed that they were not prevented from managing their diabetes at school, most also believed that school personnel did not have adequate knowledge about diabetes.

CONCLUSION

 In this study, adolescents and children with T1DM had mixed perceptions of their experience at school.

Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia

The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. It is known that genetic and environmental factors contribute to childhood T1D. An optimal model to predict the development of T1D in children using Key Performance Indicators (KPIs) would aid medical practitioners in developing intervention plans. This paper for the first time has built a model to predict the risk of developing T1D and identify its significant KPIs in children aged (0-14) in Saudi Arabia. Machine learning methods, namely Logistic Regression, Random Forest, Support Vector Machine, Naive Bayes, and Artificial Neural Network have been utilised and compared for their relative performance. Analyses were performed in a population-based case-control study from three Saudi Arabian regions. The dataset (n = 1,142) contained demographic and socioeconomic status, genetic and disease history, nutrition history, obstetric history, and maternal characteristics. The comparison between case and control groups showed that most children (cases = 68% and controls = 88%) are from urban areas, 69% (cases) and 66% (control) were delivered after a full-term pregnancy and 31% of cases group were delivered by caesarean, which was higher than the controls (χ2 = 4.12, P-value = 0.042). Models were built using all available environmental and family history factors. The efficacy of models was evaluated using Area Under the Curve, Sensitivity, F Score and Precision. Full logistic regression outperformed other models with Accuracy = 0.77, Sensitivity, F Score and Precision of 0.70, and AUC = 0.83. The most significant KPIs were early exposure to cow's milk (OR = 2.92, P = 0.000), birth weight >4 Kg (OR = 3.11, P = 0.007), residency(rural) (OR = 3.74, P = 0.000), family history (first and second degree), and maternal age >25 years. The results presented here can assist healthcare providers in collecting and monitoring influential KPIs and developing intervention strategies to reduce the childhood T1D incidence rate in Saudi Arabia.

Burden of type 1 diabetes mellitus in the North Africa and Middle East Region, 1990-2019; findings from the global burden of disease study

AIMS

We aimed to report the burden of type 1 diabetes mellitus (T1DM) in the North Africa and Middle East region and its 21 countries from 1990 to 2019.

METHODS

Information related to incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and years lived with disability (YLDs) of T1DM was acquired from the 2019 Global Burden of Disease study. The burden was estimated by sex, age groups, and socio-demographic index (SDI) in 21 countries.

RESULTS

Over the past 30 years, regional incidence, prevalence, mortality, and DALYs of T1DM increase by 188.7%, 304.8%, 43.7%, and 71.6%, respectively. While the age-standardized incidence and prevalence rates increased by 84% and 91%, the mortality and DALYs rates decreased by 34% and 13%. During these years, the contribution of YLDs to total DALYs increased considerably (from 17% to 42%). The highest increase in the incidence and prevalence rates occurred in high SDI countries. Moreover, the Mortality to Incidence Ratio (MIR) decreased in the region countries.

CONCLUSIONS

Despite progress made in diabetes care, there is a persistently increasing burden of T1DM in the region countries. This indicates that T1DM is still one of the major health challenges in the region countries, especially in high SDI Arab countries.

Effects of a 12-Month Hybrid (In-Person + Virtual) Education Program in the Glycemic Status of Arab Youth

This 12-month school-based intervention study investigated the effects of hybrid educational lifestyle modifications on glycemic control among Saudi youth with different glycemic statuses. A total of 2600 Arab adolescents aged 12−18 years were recruited from 60 randomly selected schools. Anthropometrics, blood glucose, and HbA1c were measured pre- and post-intervention. Participants were grouped according to baseline HbA1c into normal, prediabetes, and diabetes groups. All participants received lifestyle education at base line and at every 3-month interval to improve diet and exercise behavior. Diabetic and prediabetic participants received a tailored lifestyle intervention. Post-intervention, 643 participants were analyzed as follows: 20 participants from the diabetes group, 39 from prediabetes, and 584 from the normal group. A modest but significant improvement in the glycemic status of diabetic and prediabetic participants was observed, but not in the normal group. In the diabetes group, 11 (55%) participants achieved normal HbA1c levels, 5 had prediabetes levels, and only 4 remained within diabetes HbA1c levels. In the prediabetes group, 34 (87.2%) participants achieved normal HbA1c levels, while 2 (5.1%) participants remained prediabetic and 3 (7.7%) had diabetes HbA1c levels (p < 0.001). This hybrid lifestyle intervention program modestly reduces the risk of T2DM among youth with elevated HbA1c levels. The challenge of sustaining interest in adopting lifestyle changes for a longer duration should be addressed in further studies in this population.

Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi Arabia

The rising incidence of type 1 diabetes (T1D) among children is an increasing concern globally. A reliable estimate of the age at onset of T1D in children would facilitate intervention plans for medical practitioners to reduce the problems with delayed diagnosis of T1D. This paper has utilised Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and Random Forest (RF) to model and predict the age at onset of T1D in children in Saudi Arabia (S.A.) which is ranked as the 7th for the highest number of T1D and 5th in the world for the incidence rate of T1D. De-identified data between (2010-2020) from three cities in S.A. were used to model and predict the age at onset of T1D. The best subset model selection criteria, coefficient of determination, and diagnostic tests were deployed to select the most significant variables. The efficacy of models for predicting the age at onset was assessed using multi-prediction accuracy measures. The average age at onset of T1D is 6.2 years and the most common age group for onset is (5-9) years. Most of the children in the sample (68%) are from urban areas of S.A., 75% were delivered after a full term pregnancy length and 31% were delivered through a cesarean section. The models of best fit were the MLR and RF models with R2 = (0.85 and 0.95), the root mean square error = (0.25 and 0.15) and mean absolute error = (0.19 and 0.11) respectively for logarithm of age at onset. This study for the first time has utilised MLR, ANN and RF models to predict the age at onset of T1D in children in S.A. These models can effectively aid health care providers to monitor and create intervention strategies to reduce the impact of T1D in children in S.A.

School practice and preparedness in caring for children with type 1 diabetes: A Saudi nationwide cross-sectional study

AIM

We aimed to identify gaps in school care and support required for students with type 1 diabetes mellitus (T1DM) in Saudi Arabia.

METHODS

We performed a cross-sectional nationwide study using self-administered surveys that targeted teachers and parents of students with T1DM in Saudi Arabia from August to December 2019.

RESULTS

We collected surveys from 632 parents and 983 teachers. Responses were received from all 13 regions in Saudi Arabia, with the majority representing governmental schools. Results showed that 172 students (27.3%) had no available help at school to perform blood glucose measurement, 178 students (28.3%) were left with no hypoglycemia treatment, 374 students (59.6%) took their insulin dose for breakfast at home, and 40.0 (6.4%) students omitted insulin. Overall, school admission refusal was reported by 73 students (11.7%). Students with no available help to manage their hypoglycemia or to inject insulin at school had a higher hemoglobin A1c and poorer academic performance.

CONCLUSION

Our study revealed a significant gap between schools' local practices and international recommendations, which impacted students' safety, diabetes control, and school achievement. Our study findings will support the creation of the Saudi T1DM school practice guidelines necessary to improve the care of students with T1DM.

Are children and adolescents with type 1 diabetes in Saudi Arabia safe at school?

OBJECTIVES

To examined the safety of schools, availability of school personnel to help in diabetes management, glycemic control, absenteeism, and differences in diabetes care between public and private schools. Methods: This cross-sectional study used an online platform to circulate surveys to parents of children with type 1 diabetes mellitus (T1DM) attending school or kindergarten in all regions of Saudi Arabia from February to May 2019. Results: The 411 questionnaires received were completed mostly by mothers (80.8%). Limited trained staff were found to be responsible for management of diabetes at school, and parents had relatively poor perceptions regarding the care of children with diabetes at school. Glucagon availability, trained staff, possibility of contacting a treating physician during school hours, a written plan for diabetes, and parents' confidence in schools all scored low and were significantly related to school type. Hemoglobin A1c (HbA1c) level was significantly related to insulin regimen.

CONCLUSION

Parents had poor perceptions regarding diabetes care at school. There was no or very limited availability of glucagon kits and trained staff for management of children with T1DM. This study suggests a need to improve the management of diabetes at schools.

Pediatric diabetes in Saudi Arabia: Challenges and potential solutions. A review article

Diabetes in children has increased globally, and the World Health Organization ranks Saudi Arabia 7th in prevalence and 5th in incidence of type 1 diabetes (T1D). Type 2 diabetes (T2D) in children and adolescents has been identified in Saudi Arabia but its prevalence is still unknown. Despite advances in diabetes management including new insulins, insulin delivery systems, glucose monitoring and easy access to media for disease awareness, diabetes in children continues to be challenging in many aspects. Problems include delayed diagnosis, suboptimal glycemic control, early and late disease complications, transition from pediatric to adult care and raising of obesity and T2D, poor psychological and school support. This review summarizes the pediatric and adolescent diabetes studies in Saudi Arabia to date and explores the country-specific treatment challenges and potential solutions.

Type 1 Diabetes Mellitus in Saudi Arabia: A Soaring Epidemic

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.