TYPE 2 DIABETES MELLITUS AND OBESITY AS RISK FACTORS FOR DEPRESSION AND COGNITIVE IMPAIRMENT
DOI:
https://doi.org/10.48047/Keywords:
Cognitive Impairment; Obesity; Depression, Type 2 Diabetes MellitusAbstract
Background: Cognitive impairment and Depression were associated with diabetes has been of serious
concern to physicians worldwide. Diabetes mellitus, if not managed, may increase the risk of cognitive
impairment, as the cognitive behavior deteriorates faster in diabetic patients. The aim of the present
study is to highlighting the relation between Type 2 Diabetes and obesity with Depression and
Cognitive Impairment
. Patients and methods: A comparative cross sectional study was carried out on 90 adults equally
divided into three groups: (A) diabetic patients with normal BMI, (B) non-diabetic individuals and (C)
obese type 2 Diabetic patients. All groups were subjected to the full medical history in a positive
family history of diabetes, lifestyle factors and physical activity, complete clinical examination and
laboratory investigation.Cognitive impairment and Depression assessment were performed.
Results: Physical activity was significantly associated with Group A & B and hyperlipidemia
associated with Group A& C. Our results showed group B was significantly lower regard FBS, PPS
and HbA1c than group A&C with no significant difference between them . Group A was significantly
lower and overall depression was significantly associated with group B and Group C as it was 30.0%
and 46.7% respectively. There no significant difference founded among groups as regard cognitive
impairment, Type 2 Diabetic patients groups (Group A 26.7%-Group C 33.3)% while group B (Obese
non Diabetic) showed less prevalence of cognitive (13.3%).
Conclusion: Type 2 Diabetes mellitus associated with high prevalence of Depression and Cognitive
Impairment. The results of this study confirm the basis for a better understanding of the association
between Cognitive Impairment and depression in patients with diabetes mellitus type 2, and obesity
and will allow development of prediction tools and better interventions




