Glycaemic control and its determinants in diabetic patients in Ethiopia
A cross-sectional study was undertaken in which concentrations of glycated haemoglobins were measured in 102 diabetics seen at the outpatient clinic in Gondar, Ethiopia, between 26 January and 7 March, 1995. Mean HbA 1 levels (standard deviations) were 5.35% (1.1) in non-diabetic controls, 12.0% (1....
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Published in | Diabetes research and clinical practice Vol. 35; no. 2; pp. 129 - 134 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Shannon
Elsevier Ireland Ltd
01.03.1997
Elsevier Science |
Subjects | |
Online Access | Get full text |
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Summary: | A cross-sectional study was undertaken in which concentrations of glycated haemoglobins were measured in 102 diabetics seen at the outpatient clinic in Gondar, Ethiopia, between 26 January and 7 March, 1995. Mean HbA
1 levels (standard deviations) were 5.35% (1.1) in non-diabetic controls, 12.0% (1.5) in 59 insulin-dependent diabetics, and 11.0% (2.0) in 43 non-insulin dependent outpatients. The majority of insulin-dependent mellitus (IDDM) (78%) and non-insulin-dependent mellitus (NIDDM) patients (77%) were poorly controlled (HbA
1 > 10.8% in IDDM, and > 9.7% in NIDDM, respectively). Multiple linear regression analyses revealed that HbA
1 levels were significantly positively associated with lower body mass index, duration of diabetes, a recent history of polydipsia, hypertension, and low income in NIDDM individuals. Whereas in IDDM patients lower age (or alternatively lower age at onset) was the only significant predictor. Whilst 49% of the model variance was explained by the predictors in NIDDM diabetics, only 9% were so in IDDM patients. Current fasting blood glucose level was marginally significant in NIDDM patients (
r = 0.29;
P = 0.058), but insignificant in IDDM individuals. This points towards the fluctuations in blood glucose levels experienced by IDDM patients in a setting where insulin supply is unreliable. It also confirms the doubts about the usefulness of fasting blood glucose values as a tool for assessing metabolic control. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0168-8227 1872-8227 |
DOI: | 10.1016/S0168-8227(96)01367-8 |