Objectives: To determine the prevalence of type 2 diabetes among 6- to 18-year-old Kuwaiti children.
Subjects And Methods: Children with type 2 diabetes were identified at 182 schools (50 primary, 63 intermediate, and 69 secondary) randomly selected using the 2000/2001 educational districts' registers as a sampling frame. Prevalence rates were adjusted to the 2002 Kuwaiti population. Diagnosis of type 2 diabetes was based on the World Health Organization and the American Diabetes Association criteria.
Results: Type 2 diabetes was identified in 45 of the 128,918 children surveyed, thereby giving an overall prevalence of 34.9 per 100,000 [95% confidence interval (CI) 24.7-45.1]. There was a significant difference in prevalence between males (47.3, 95% CI 28.7-65.8) and females (26.3, 95% CI 14.8-37.8) at p = 0.05 and a significant trend for an increase in prevalence of type 2 diabetes with age (p = 0.026). The overall age-adjusted prevalence rate in the 2002 Kuwaiti population was 33.2 (95% CI 26.6-39.9), 41.6 (95% CI 31.2-52.0) in male and 24.6 (95% CI 16.4-32.7) in female children; the difference was significant at p = 0.013. There was no significant difference in prevalence between regions. Children with type 2 diabetes had a significantly higher frequency (51.1%) of a positive family history of diabetes than children of a similar age without type 2 diabetes (22.2%) (p = 0.004).
Conclusion: The prevalence of type 2 diabetes in adult Kuwaitis is spreading to children and adolescents, making it an emergency public health problem. Efforts need to be initiated to address prevention strategies of type 2 diabetes in youth.
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http://dx.doi.org/10.1159/000129604 | DOI Listing |
Ann Med
December 2025
Department of Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang, China.
Objectives: To explore the effect and the probable mechanisms of JLD in the treatment of type 2 diabetes mellitus (T2DM) - associated cognitive impairment (TDACI).
Methods: The effect of JLD in combating TDACI was assessed in T2DM model mice by conducting Morris water maze (MWM) behaviour testing. Active components and their putative targets, as well as TDACI-related targets, were collected from public databases.
Diabetes Obes Metab
December 2024
The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aim: To comprehensively evaluate the benefits and risks of glucagon-like peptide-1 receptor agonists (GLP-1RA), dipeptidyl peptidase 4 inhibitors (DPP4i), and sodium-glucose cotransporter 2 inhibitors (SGLT2i).
Materials And Methods: A systematic search of PubMed, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) from inception to November 2023 to identify randomized cardiovascular and kidney outcome trials that enrolled adults with type 2 diabetes, heart failure, or chronic kidney disease and compared DPP4i, GLP-1RAs, or SGLT2i to placebo. Twenty-one outcomes (e.
Diabetes Obes Metab
December 2024
Department of Internal Diseases, Endocrinology and Diabetology, National Medical Institute of the Ministry of the Interior and Administration, Warsaw, Poland.
Background: Prevalence of type 2 diabetes increases with age. Both the Food and Drug Administration (FDA) and the European Medicines Agency (EMA) promote the enrollment of older patients to randomized controlled trials (RCTs) in diabetes. The objective of this study was to assess the eligibility criteria limiting the inclusion of older adults to RCTs in type 2 diabetes.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
Department of Endocrinology, Shanghai Pudong Hospital, Fudan University, Shanghai, China.
Obesity and type 2 diabetes are significant public health challenges that greatly impact global well-being. The development of effective therapeutic strategies has become more and more concentrated on the central nervous system and metabolic regulation. The primary pharmaceutical interventions for the treatment of obesity and uncontrolled hyperglycemia are now generally considered to be incretin-based anti-diabetic treatments, particularly glucagon-like peptide-1 and glucose-dependent insulinotropic polypeptide receptor agonists.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Aim: We aimed to identify the characteristics of patients with diabetes who can derive cognitive benefits from intensive blood pressure (BP) treatment using machine learning methods.
Materials And Methods: Using data from the Action to Control Cardiovascular Risk in Diabetes Memory in Diabetes (ACCORD-MIND) study, 1349 patients with type 2 diabetes who underwent BP treatment (intensive treatment targeting a systolic BP <120 mmHg vs. standard treatment targeting <140 mmHg) were included in the machine learning analysis.
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