• Annals of medicine · Dec 2024

    Characteristics and risk factors associated with developing prediabetes in Saudi Arabia.

    • Ayla M Tourkmani, Turki J Alharbi, Abdulaziz M Bin Rsheed, Azzam F Alotaibi, Mohammed AlEisaa, Ibrahim M Youzghadli, Yazed AlRuthia, and Alian A Alrasheedy.
    • Chronic Illness Clinics, Department of Family and Community Medicine, Prince Sultan Military Medical City (PSMMC), Riyadh, Saudi Arabia.
    • Ann. Med. 2024 Dec 1; 56 (1): 24139222413922.

    ObjectivePrediabetes is prevalent in Saudi Arabia and globally. It is associated with adverse health outcomes and complications. Consequently, this study aimed to determine the risk factors associated with developing prediabetes in Saudi Arabia.MethodsThis is a case-control study conducted at the Family and Community Medicine Department at Prince Sultan Military Medical City, Riyadh, Saudi Arabia. The cases included individuals with prediabetes (prediabetes group), and the control group included individuals with normal HbA1c levels who were not diagnosed with prediabetes or diabetes. The data collected included sociodemographic data, clinical parameters, laboratory tests, and medical conditions.ResultsThe study included 46,201 patients (16,029 patients with prediabetes and 30,173 in the control group). The age of the patients (mean ± SD) with prediabetes was significantly higher than that of the control group (47.22 ± 14.04 versus 36.12 ± 11.83, p < 0.0001). A higher proportion of men was noted in the prediabetes group compared to the control group (36.32% versus 26.54%, p < 0.0001). The body mass index (mean ± SD) was higher in the prediabetes group compared to the control group (33.76 ± 6.75 versus 30.16 ± 7.26, p < 0.0001). The multiple logistic regression analysis showed six independent risk factors associated with prediabetes. These included age (aOR [95% CI] = 1.067 [1.065-1.069]) and gender, with women at a lower risk compared to men (aOR [95% CI] = 0.695 [0.664-0.728]). Other independent risk factors included polycystic ovarian syndrome (aOR [95% CI] = 58.102 (35.731-94.479]), obesity (aOR [95% CI] = 1.265 [1.075-1.487]), cardiac conditions (aOR [95% CI] = 4.870 [1.024-23.154]), and hypertension (aOR [95% CI] = 1.133 [1.031-1.245]).ConclusionsThe study showed that several risk factors are associated with the development of prediabetes in the Saudi population. Addressing these factors can help prevent prediabetes, and consequently, its burden and further progression to diabetes.

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