Modifiable risk factors for cognitive decline in people with type 2 diabetes
dc.contributor.advisor
Price, Jackie
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dc.contributor.advisor
Deary, Ian
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dc.contributor.author
Sluiman, Anniek Jarmila
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dc.date.accessioned
2019-07-23T12:47:21Z
dc.date.available
2019-07-23T12:47:21Z
dc.date.issued
2019-07-06
dc.description.abstract
INTRODUCTION:
Type 2 diabetes is a known risk factor for cognitive decline and dementia and
continues to be one of the most common non-communicable diseases in the world. Obesity, a
hallmark of type 2 diabetes is often associated with general inactivity and chronic increased
levels of systemic inflammation. The literature suggests that obesity, along with systemic
inflammation and inactivity levels are associated with cognitive decline and dementia in the
general population. There is uncertainty as to what effect (if any) obesity, systemic
inflammation and activity levels have on people with diabetes.
AIMS:
To determine whether systemic inflammation, obesity and physical (in) activity levels are
associated with cognitive decline and/or dementia in older people with type 2 diabetes.
METHODS:
The Edinburgh Type 2 Diabetes Study (ET2DS) is a representative prospective cohort
of 1066 men and women living in Scotland, aged 60-75 years at baseline.
Cognitive data was
gathered by means of a comprehensive cognitive test battery, at baseline and at year 10 followup.
Other data on medical history, vascular events, circulating biomarkers, physiological
examination and activity levels was also gathered at each phase of data collection. Criteria were
developed to determine probable cases of dementia at year 10 follow-up.
Principal component
analysis (PCA) was used to derive a latent general cognition variable ‘g’ using imputed data to
provide a summary score of the different cognitive tests. Multivariable regression analysis was
used to assess the association of risk factor variables with general cognition, cognitive decline
and dementia. Statistical models adopted the correction method, where baseline cognitive
ability was used to correct for follow-up cognitive ability, in order to provide an indication of the
association of a risk factor on cognitive decline. Logistic multivariable regression models were
used to explore the effect of risk factors on incident dementia. Adjustment variables included a
wide range of demographic, vascular-related and diabetes-related risk factors.
RESULTS:
In the ET2DS, associations were found between waist to hip ratio (WHR) and cognitive
decline (standardised beta= -0.076; p=0.020), in fully adjusted models but not with body mass
index (BMI). Waist circumference (WC) was found to be associated with cognitive decline
(standardised beta= 0.059; p= 0.032), however in fully adjusted models this association was no
longer statistically significant. Findings supported a possible association of higher plasma
fibrinogen (standardised beta= -0.059; p=0.032) and IL-6 (standardised beta= -0.064; p=0.018)
with cognitive decline, however in fully adjusted models this association was no longer
statistically significant.
Physical activity and sedentary behaviour were shown to be associated with a decline in
cognitive ability (standardised beta= 0.171; p<0.001, standardised beta= -0.135; p<0.001,
respectively), in fully adjusted models.
Obesity-related variables associated with incident dementia included BMI (OR 0.95; 95% CI
0.90- 0.99; p<0.05), WC (OR 0.97; 95% CI 0.95-0.99; p<0.05) and percentage body fat (OR 0.94;
95% CI 0.90-0.98; p<0.01). Baseline inflammation marker IL-6 was identified as a possible risk
factor for incident dementia (OR 1.56; 95% CI 1.08- 2.27; p < 0.05). Physical activity and
sedentary behaviour were also associated with dementia prevalence at year 10 (OR 0.53; 95% CI
0.36 - 0.78; p<0.001, OR 2.01; 95% CI 1.31 – 3.08; p<0.001, respectively).
CONCLUSIONS:
Specific measures of obesity, inflammation and activity level were associated with
cognitive decline and risk of dementia, in older people with type 2 diabetes. Care must be taken
when interpreting these results as causal relationships cannot be inferred and further work
must take place to confirm the directionality of these associations. These results, in the context
of other work, may be used to reveal possible underlying biological mechanisms of diabetes
related cognitive decline and dementia and guide work on preventative therapies or
interventions for this disease.
en
dc.identifier.uri
http://hdl.handle.net/1842/35825
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.subject
type 2 diabetes
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dc.subject
cognitive decline
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dc.subject
dementia
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dc.subject
obesity
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dc.subject
Edinburgh type 2 diabetes study
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dc.subject
inflammation
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dc.title
Modifiable risk factors for cognitive decline in people with type 2 diabetes
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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