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Factors associated with type 1 diabetes in Kuwaiti children

M A A Moussa1, M Alsaeid, T M K Refai

  • 1Department of Community Medicine and Behavioural Sciences, Faculty of Medicine, Kuwait University, 24923, Safat 13110, Kuwait. amoussa@hsc.edu.kw

Acta Diabetologica
|November 1, 2005
PubMed

Insights

Type 1 diabetes in children adversely affects social and metabolic health. Family history and thyroid disease are key risk factors, highlighting the need for early monitoring of metabolic markers to prevent coronary heart disease.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Disorders
  • Cardiovascular Risk Factors

Background:

  • Type 1 diabetes is a prevalent childhood chronic illness resulting from complex interactions.
  • Early identification and management of associated metabolic complications are crucial.

Purpose of the Study:

  • To investigate social and metabolic characteristics in Kuwaiti children with type 1 diabetes.
  • To identify predisposing factors associated with type 1 diabetes in this population.

Main Methods:

  • A pair-matched case-control study involving 348 children with type 1 diabetes and 348 controls (ages 6-18).
  • Data collected included social, metabolic (lipids, lipoproteins, apolipoproteins, lipoprotein a (Lpa), total sialic acid), and family history variables.
  • Logistic regression analysis was used to determine associated factors.

Main Results:

  • Diabetic children exhibited adverse social and metabolic profiles compared to controls.
  • Family history of type 1 diabetes, type 2 diabetes, and thyroid disease were significant predisposing factors.
  • Lipoprotein a (Lpa) and total sialic acid showed significant correlations with glycated haemoglobin and lipoproteins, suggesting potential cardiovascular risk markers.

Conclusions:

  • Children with type 1 diabetes experience adverse metabolic changes linked to early atherogenesis.
  • Metabolic markers should be assessed and managed early in diabetic children to mitigate cardiovascular risk.
  • Family history is a significant predictor for type 1 diabetes development.

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