Comparison of type 2 diabetes prevalence estimates in Saudi Arabia from a validated Markov model against the International Diabetes Federation and other modelling studies

Al-Quwaidhi, Abdulkareem J; Pearce, Mark S.; Sobngwi, Eugène; Critchley, Julia; O’Flaherty, Martı́n

doi:10.1016/j.diabres.2013.12.036

Cited by 58 publications

(47 citation statements)

References 23 publications

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“…Regarding association of obesity with diabetic retinopathy, this study found no significant association, since the relative risk (RR) of BMI (less than 30/more than 30) was 0.615 (95% CI 0.334-1.130). Although a positive correlation of obesity with DR has been found in some studies [3,9,24,[32][33][34], it was found to be protective in another studies [9)]. Controlling blood sugar is a protective factor [5,8,11,32,33,35], and this association was proven in this study.…”

Section: Discussionsupporting

confidence: 67%

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The Impact of Expanding the Screening Interval for Diabetic Retinopathy in Primary Care Centers

Bardisi¹,

Magliah²,

Alatta³

2018

Health Prim Car

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Objectives: This study aimed to estimate the prevalence of diabetic retinopathy (DR) and its determinant risk factors in people with diabetes attending primary care centers and to determine the impact of expanding the screening interval on the incidence and progression of (DR). Methodology:This study was a cross-sectional chart review, that was conducted in three randomly selected primary care centers. A total of 250 diabetic patients had three consecutive annual screenings for DR from April 2014 to April 2017. At the initial visit, the ophthalmological findings were recorded. For three successive yearly screening , the screening results were assessed to estimate the changes that occurred in the prevalence, incidence, and progression of diabetic retinopathy in addition to the degree of association with the most predictable risk factors.Results:The initial prevalence of DR was 15.2%. Over the three-consecutive annual screening, the DR prevalence increased to 19.6%, 22.4%, and 25.6%, respectively. Most cases (72%) of DR were of the mild non-proliferative diabetic retinopathy (NPDR) type. The annual incidence of DR was 4.4%, 2.8%, and 3.2%. The progression of DR occurred in 2 (0.08%) cases at the second screening interval and in 6 (2.4%) cases at the third screening interval. These changes were strongly associated with age, the duration of diabetes, HBA1C levels, hypertension, and insulin therapy (P-value 0.005). However, changes in the incidence and progression of DR over the three intervals were statistically non-significant (P-value 0.086).Conclusion: DR, a serious microvascular complication of diabetes mellitus, is an asymptomatic disease with a slow onset and gradual progression. DR requires regular screening for early detection. The screening interval can be extended up to every three years in the very low-risk groups without threatening vision.

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Section: Discussionsupporting

confidence: 67%

“…The Kingdom of Saudi Arabia has a high prevalence of diabetes mellitus at 23.7% [2], and this rate is expected to rise to 44.1% in 2022 [3]. DM is a well-known cause of microvascular and macrovascular complications.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Expanding the Screening Interval for Diabetic Retinopathy in Primary Care Centers

Bardisi¹,

Magliah²,

Alatta³

2018

Health Prim Car

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“…Moreover, increasing evidences suggest that DM education programs that address the self-care and the psychological care of diabetic patients improve their QoL and help them in controlling their diabetes [13]. Although several studies have been conducted in Saudi Arabia addressing the prevalence, risk factors, and care for DM [14, 15], few studies addressed HRQoL among diabetics and to the best of our knowledge no study has assessed the impact of educational programs on HRQoL among diabetics in Jazan. Thus, the aim of this study was to assess the effects of a psychoeducational intervention program on HbA1c levels and HRQoL in patients with type 2 diabetes in Jazan.…”

Section: Introductionmentioning

confidence: 99%

Effects of a Psychoeducational Program on Hemoglobin A1c Level and Health-Related Quality of Life in Patients with Type 2 Diabetes Mellitus, Jazan, Saudi Arabia

Mahmoud

Mahdy

Mahfouz

et al. 2018

BioMed Research International

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Background Diabetes mellitus (DM) is a growing health problem. Care programs should involve the patients to upgrade their diabetes condition and health-related quality of life (HRQoL). Objective The present study aimed to assess the effects of a psychoeducational intervention program on an indicator of glycemic control and HRQoL among type 2 diabetic patients. Methods In this quasi-experimental (pre- and postinterventional) study, 99 outpatients with type 2 diabetes were selected randomly from those attending primary health care centers in Jazan, Saudi Arabia, in 2016. Hemoglobin A1c levels (HbA1c) were measured by the colorimetric method, and HRQoL was assessed by the Arabic version of the RAND 36-Item Health Survey 1.0 (RAND-36). The psychoeducational program was conducted on the participants for 4 weeks, and preprogram findings were compared with the postprogram findings after a 5-month follow-up. Results After the intervention, there was a statistically significant reduction in the mean value of HbA1c from 9.8 to 7.7 (P < 0.001), and there was significant improvement in the mean scores of the following HRQoL scales: role limitations due to emotional problems, energy/fatigue, emotional well-being, and general health (P < 0.01). In addition, the impact of the program on HRQoL was better among males and among patients who were older than forty years than among women and patients who were forty years old or younger. Conclusion The application of such psychoeducational intervention programs can be helpful in the improvement of HbA1c levels and HRQoL for patients with DM.

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“…In Palestine, the model predicted that DM prevalence would increase from 9.7 to 20.6 % between 2000 and 2020 (AbuRmeileh et al 2013). This model may predict bigger increases in DM prevalence than International Diabetes Federation (IDF) based estimates (Al-Quwaidhi et al 2014;Al Ali et al 2013). However, other studies, e.g.…”

Section: Discussionmentioning

confidence: 84%

“…The model has also been implemented in other countries (Abu-Rmeileh et al 2013;Al-Quwaidhi et al 2014;Al Ali et al 2013). In total, six states are modelled: four health (starting) states (Healthy, Obese, Smoker, Diabetes and two absorbing states (Death from DM and Death from other causes).…”

Section: Model Structurementioning

confidence: 99%

Estimating diabetes prevalence in Turkey in 2025 with and without possible interventions to reduce obesity and smoking prevalence, using a modelling approach

Sözmen

Unal

Capewell

et al. 2014

Int J Public Health

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Comparison of type 2 diabetes prevalence estimates in Saudi Arabia from a validated Markov model against the International Diabetes Federation and other modelling studies

Cited by 58 publications

References 23 publications

The Impact of Expanding the Screening Interval for Diabetic Retinopathy in Primary Care Centers

The Impact of Expanding the Screening Interval for Diabetic Retinopathy in Primary Care Centers

Effects of a Psychoeducational Program on Hemoglobin A1c Level and Health-Related Quality of Life in Patients with Type 2 Diabetes Mellitus, Jazan, Saudi Arabia

Estimating diabetes prevalence in Turkey in 2025 with and without possible interventions to reduce obesity and smoking prevalence, using a modelling approach

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