1 Taub Institute for Research of Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY.
2 Division of General Medicine, Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY.
3 Division of Biostatistics, Joseph P. Mailman School of Public Health, Columbia University, New York, NY.
4 Gertrude H. Sergievsky Center, Columbia University, New York, NY.
5 Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY.
6 Division of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY.
7 Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY.
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ABSTRACT |
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Alzheimer disease; dementia; diabetes mellitus; survival analysis
Abbreviations: CI, confidence interval; NINCDS-ADRDA, National Institute of Neurological and Communicative Disorders and StrokeAlzheimer's Disease and Related Disorders Association; NINDS-AIREN, National Institute of Neurological Disorders and StrokeAssociation Internationale pour la Recherche et l'Enseignement en Neurosciences.
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INTRODUCTION |
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The association between diabetes and vascular dementia may depend on the presence of subclinical cerebrovascular disease or frank stroke (1315
), and it may be mediated through traditional cardiovascular disease risk factors, specifically hyperlipidemia and hypertension (16
18
). The relation between diabetes and Alzheimer's disease is less obvious, although a role for glycated end products in the pathogenesis of Alzheimer's disease has been hypothesized (19
, 20
).
Several longitudinal studies have demonstrated an association between a history of diabetes and cognitive deficits (21, 22
) and dementia (23
26
). The finding of an associa- tion between diabetes and Alzheimer's disease has been inconsistent. Two reports from the Rotterdam Study showed a relation between diabetes and Alzheimer's disease, with relative risks of 1.3 (95 percent confidence interval (CI): 1.0, 1.9) and 1.9 (95 percent CI: 1.3, 2.8) (23
, 26
). The relative risk of Alzheimer's disease among subjects treated with insulin was higher than that among subjects treated with oral hypoglycemic agents (compared with subjects without diabetes) in one of those studies (23
), while in the most recent report from the same cohort, the risk of Alzheimer's disease was elevated only among diabetic subjects treated with insulin, and risk was not elevated among subjects treated with oral hypoglycemic agents (26
). One study from Rochester, Minnesota (24
) reported a doubling of the risk of Alzheimer's disease among men with diabetes as compared with men without diabetes (relative risk = 2.3, 95 percent CI: 1.6, 3.3) and a non-statistically significant increased risk among women (relative risk = 1.37, 95 percent CI: 0.9, 2.0). Another study of a British cohort also reported a higher risk of Alzheimer's disease among subjects with diabetes compared with subjects without it, with a relative risk of 1.4 (95 percent CI: 1.1, 17.0) (25
). In these studies, the relative risk of Alzheimer's disease was lower than that for overall dementia and vascular dementia, and risk was attenuated once cases with stroke were excluded.
The incidence of vascular dementia varies considerably depending on the criteria used (27); if cases of vascular dementia are classified as Alzheimer's disease, the finding of a weak relation between diabetes and Alzheimer's disease may be due to misclassification. One study that used more sensitive criteria for the detection of vascular dementia found no association between diabetes and Alzheimer's disease: The relative risks of Alzheimer's disease in subjects with diabetes as compared with subjects without diabetes were 0.98 (95 percent CI: 0.48, 1.99) and 1.0 (95 percent CI: 0.58, 1.72) when the researchers considered 25-year history of diabetes and 15-year history of diabetes, respectively (28
). Thus, the finding of a relation between diabetes and dementia, specifically Alzheimer's disease and vascular dementia, may depend on the criteria used to define vascular dementia and the accuracy of the diagnostic procedures employed. None of the previous studies examining the relation between diabetes and dementia included large numbers of Blacks or Hispanics.
The objective of this study was to clarify the association between diabetes and the different types of dementia. Because the prevalence of diabetes in Blacks and Hispanics is higher than that in Whites (3, 4
), we also examined whether this difference could account for the higher risk of dementia reported in non-Whites (5
7
).
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MATERIALS AND METHODS |
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Diagnosis of dementia and cognitive impairment
The diagnosis of dementia and assignment of its specific cause was made by a group of neurologists, psychiatrists, and neuropsychologists by consensus, on the basis of information gathered at the initial visit and follow-up visits. Dementia diagnosis was based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (30), and it required evidence of cognitive deficits on the neuropsychological test battery as well as evidence of impairment in social or occupational functioning (Clinical Dementia Rating >0.5) (31
). Diagnosis of Alzheimer's disease was based on the criteria of the National Institute of Neurological and Communicative Disorders and StrokeAlzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) (32
). Diagnosis of dementia associated with stroke (hereafter called stroke-associated dementia) was made in all subjects with dementia in whom stroke was judged to be the main cause of the dementia based on evidence of the focal effects of the stroke, its temporal relation with dementia, or both. Brain imaging was available in 85 percent of cases of stroke; in the remainder, World Health Organization criteria were used to define stroke (33
). Subjects without dementia but with a history of stroke at the baseline examination were included in the analyses. A diagnosis of cognitive impairment without dementia (hereafter called nondementia cognitive impairment) was made if neuropsychological testing detected memory impairment that was more than one standard deviation lower than normal for the subject's age but the individual reported no impairment or only mild impairment in social or occupational activities (Clinical Dementia Rating
0.5) (30
).
Diagnosis of diabetes and other covariates
The presence of diabetes was based on reported use of insulin or oral hypoglycemic agents or a clinical history of diabetes. Hypertension, heart disease, and smoking were based on self-report or clinical history. Ethnic group was based on self-report using the format of the 1990 US Census (34). Individuals were asked whether they were of Hispanic origin. Subjects were then assigned to one of three ethnic groups: non-Hispanic Black, Hispanic, and non-Hispanic White. Years of education were obtained by self-report. Apolipoprotein E genotyping was obtained by amplification of genomic DNA with polymerase chain reaction subjected to CfoI restriction analysis using apolipoprotein E primers and conditions similar to those described by Hixson and Vernier (35
). Fasting plasma total cholesterol and triglyceride levels were determined at the initial assessment using standard enzymatic techniques. High density lipoprotein cholesterol was determined after precipitation of apolipoprotein B-containing lipoproteins with phosphotungstic acid (36
). Low density lipoprotein cholesterol levels were calculated using the formula of Friedewald et al. (37
).
Data analysis
Prevalences of diabetes and other covariates were compared between subjects with and without Alzheimer's disease and between subjects with and without stroke-associated dementia. Continuous variables were compared by analysis of variance, and categorical variables were compared by 2 test. Cox proportional hazards modeling was used for multivariate analyses. The time-to-event variable was age at onset of dementia; the models were stratified by year of entry into the cohort in order to control for period effects, as recommended for longitudinal studies (38
). There was one model for each outcome mentioned above. All covariates were treated as time-constant covariates using the baseline values. In 26 of the 255 subjects with diabetes, the diagnosis was made after baseline, but these persons were treated as having had diabetes at baseline. An additional analysis was carried out treating diabetes as a time-dependent covariate taking into account the date of reporting of the diabetes diagnosis; this analysis was conducted to examine how the definition of diabetes (baseline vs. follow-up) affected the analysis. A similar analysis was carried out treating all variables as time-dependent covariates with the beginning of exposure used as the beginning of observation (or later for the 26 subjects diagnosed with diabetes after baseline), to compare the results with the time-constant covariate model. Subjects without the outcome were censored at the time of the last follow-up visit. Subjects with a type of dementia different than the one considered in the specific model were censored at the time of onset of dementia. For example, when Alzheimer's disease was examined as the outcome, persons with stroke-associated dementia were censored at the time of dementia onset. Additional analyses were performed using nondementia cognitive impairment without stroke and nondementia cognitive impairment with stroke as the outcomes; persons with nondementia cognitive impairment at baseline were excluded.
The population attributable risk (PAR) for diabetes in relation to dementia was calculated for each ethnic group using the formula PAR = Pr(HR - 1)/1 + Pr(HR - 1), where HR is the adjusted hazard ratio obtained from the multivariate models and Pr is the prevalence of diabetes in each ethnic group in the cohort; 95 percent confidence intervals were calculated for the population attributable risk using methods described for prospective studies (39). SAS for Windows, version 7 (SAS Institute, Inc., Cary, North Carolina), was used for all analyses.
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RESULTS |
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Table 1 shows a comparison of characteristics between all subjects in the sample and subjects with Alzheimer's disease, stroke-associated dementia, nondementia cognitive impairment without stroke, and nondementia cognitive impairment with stroke. Persons with Alzheimer's disease were older, had fewer years of education, had a higher proportion of Blacks, and had a higher prevalence of heart disease than persons without Alzheimer's disease. Persons with stroke-associated dementia were older and had a higher prevalence of diabetes, a higher level of low density lipoprotein cholesterol, a higher prevalence of hypertension, and a higher prevalence of heart disease than persons without stroke-associated dementia. After the exclusion of 174 cases of nondementia cognitive impairment at baseline, there were 1,088 persons left for the analysis of nondementia cognitive impairment. Persons with nondementia cognitive impairment without stroke were older and had fewer years of education, a higher proportion of ever smokers, and a higher proportion of Hispanics than persons without it. Persons with nondementia cognitive impairment with stroke had a higher prevalence of hypertension and heart disease than persons without it.
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We performed a subgroup analysis examining the relation between diabetes and stroke-associated dementia in the 184 persons with stroke, to estimate the effect of diabetes independent of that of stroke. The adjusted hazard ratio for stroke-associated dementia in relation to diabetes as compared with the absence of diabetes was 1.8 (95 percent CI: 0.8, 4.1).
We performed another analysis after reclassifying 19 cases of Alzheimer's disease with stroke as cases of stroke-associated dementia, but the hazard ratio for Alzheimer's disease in relation to diabetes (as compared with the absence of diabetes) was unchanged (relative risk = 1.3, 95 percent CI: 0.83, 1.94). The hazard ratio for Alzheimer's disease in relation to diabetes also remained unchanged after we excluded cases of stroke from the analysis.
We performed an additional analysis examining the effect of diabetes treatment on the relation between diabetes and Alzheimer's disease. Previous studies have reported an increased risk of Alzheimer's disease among subjects treated with insulin and a smaller increase or no increase in risk among subjects using oral hypoglycemic agents, in comparison with subjects without diabetes (23, 26
). Models were built including dummy variables for insulin and oral hypoglycemic agents, with subjects without diabetes used as a reference group. The hazard ratio for Alzheimer's disease in relation to diabetes, compared with the absence of diabetes, was 1.4 (95 percent CI: 0.61, 3.24) in persons reporting insulin use and 1.2 (95 percent CI: 0.66, 2.0) in persons reporting use of oral hypoglycemic agents. The hazard ratio for stroke-associated dementia among insulin-using subjects with diabetes was 3.9 (95 percent CI: 1.29, 11.56), and the hazard ratio among diabetic subjects using oral hypoglycemic agents was 2.6 (95 percent CI: 1.00, 6.53). Hazard ratios for the composite outcome of Alzheimer's disease and nondementia cognitive impairment without stroke among subjects using insulin and subjects using oral hypoglycemic agents, as compared with subjects without diabetes, were not materially different from the hazard ratio for all subjects with diabetes.
In our models, covariates such as hypertension and diabetes were treated as time-constant covariates, which assume lifetime exposure and which may have thereby overestimated exposure. Therefore, we also fitted models specifying the covariates as time-dependent covariates, with the beginning of exposure set to the beginning of observation. Of the 255 subjects with diabetes in the cohort, 26 had a diagnosis of diabetes made after the baseline examination; thus, we fitted another model with time-dependent covariates taking into account the time of diabetes diagnosis in those 26 subjects. The hazard ratios from these two models using time-dependent covariates were very close to those of the main models.
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DISCUSSION |
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The risk of vascular dementia increases greatly with stroke (13, 14
), and this may be caused by large and small vessel disease (18
, 41
), both of which are associated with diabetes. It is likely that diabetes affects the risk of vascular dementia partly by contributing to dyslipidemia and hypertension. Hyperlipidemia and hypertension have been reported by other investigators to be associated with vascular dementia (17
, 41
43
), and these associations were also present in our data. The strong though statistically nonsignificant hazard ratio for stroke-associated dementia in diabetic persons (as compared with nondiabetic persons) among subjects with stroke (hazard ratio = 1.8, 95 percent CI: 0.8, 4.1) suggests that diabetes contributes to risk of stroke-associated dementia through additional mechanisms. One such mechanism that has been proposed is diabetes-related impairment in cerebral vasoreactivity, with accompanying changes in blood flow (44
, 45
).
The mechanisms underlying the possible association between diabetes and Alzheimer's disease remain unclear. One possibility is the production of glycation end products (19, 20
). However, reductions in plasma amyloid precursor protein have been reported with elevation of plasma levels of glucose and insulin (46
), and insulin has been reported to decrease ß-amyloid neurotoxicity in vitro (47
). These findings raise the possibility that hyperinsulinemia, one of the characteristics of type II diabetes, may decrease the deposition of amyloid protein in the brain, which is a key step in the pathogenesis of Alzheimer's disease (48
53
). The mechanisms underlying the weak relation between diabetes and Alzheimer's disease remain to be clarified.
Three longitudinal studies have reported an increased risk of dementia, including Alzheimer's disease, among persons with diabetes (2326
). Two of these studies used NINCDS-ADRDA criteria for the diagnosis of Alzheimer's disease (23
, 25
, 26
); one showed that risk of Alzheimer's disease was lower than risk of overall dementia in persons with diabetes (25
), and the other showed that risk of Alzheimer's disease in such subjects was decreased by excluding subjects with stroke, although the risk remained significant (26
). The third study used the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised, for the diagnosis of dementia, based on medical record review and autopsy data (24
). These studies had a limited ability to detect vascular dementia. The definition of vascular dementia is controversial; depending on the criteria used, the incidence of vascular dementia can vary severalfold (27
). If cases of stroke-associated dementia are misclassified as cases of Alzheimer's disease, risk factors for stroke-associated dementia can appear to predict Alzheimer's disease. One study that used NINCDS-ADRDA criteria for the diagnosis of Alzheimer's disease and the criteria of the California state Alzheimer's disease diagnostic and treatment centers for the diagnosis of vascular dementia found a relation of diabetes with vascular dementia but not with Alzheimer's disease (28
).
The criteria of the California Alzheimer's disease diagnostic and treatment centers are the most sensitive for the diagnosis of vascular dementia (27) and would therefore classify fewer cases of stroke-associated dementia as cases of Alzheimer's disease. Thus, it appears that the relation between diabetes and Alzheimer's disease is sensitive to the criteria used to define vascular dementia. We addressed this issue by reclassifying all subjects with Alzheimer's disease who had also had a stroke as subjects with stroke-associated dementia (including cases in which the temporal relation between dementia and stroke was unclear), but the hazard ratios in this analysis remained essentially unchanged. The criteria for the diagnosis of stroke-associated dementia used in the last analysis are consistent with those of the National Institute of Neurological Disorders and StrokeAssociation Internationale pour la Recherche et l'Enseignement en Neurosciences (NINDS-AIREN) (54
). The NINDS-AIREN criteria are not as sensitive in the detection of vascular dementia as the California criteria used in the study that found no relation between diabetes and Alzheimer's disease (27
). However, misclassification of cases of stroke-associated dementia as cases of Alzheimer's disease is an unlikely explanation for our finding of a relation between diabetes and Alzheimer's disease: The results were unchanged both with exclusion of stroke cases from the analyses and with the reclassification of dementia subtypes described above. The finding of a slightly greater risk of Alzheimer's disease among subjects using insulin than among those using oral hypoglycemic agents is consistent with findings from the Rotterdam Study (23
, 26
) and may reflect the possibility that diabetic subjects who used insulin had more severe or prolonged diabetes.
We performed additional analyses using nondementia cognitive impairment as an outcome; these analyses yielded results similar to those for dementia. There are inconsistent reports of an association between diabetes and cognitive impairment (21, 22
, 55
). Subjects with cognitive deficits and no functional disability have been determined to be at higher risk of dementia (40
). Thus, the association between diabetes and cognitive impairment would be expected to be similar to that between diabetes and dementia. The findings for nondementia cognitive impairment support the results of the main analyses.
One explanation for our finding of a nonsignificant weak association between diabetes and Alzheimer's disease may be that a relation truly exists but this study lacked statistical power to detect it. Our analysis using the composite outcome of Alzheimer's disease and nondementia cognitive impairment without stroke, showing a statistically significant association with diabetes as compared with the absence of diabetes (hazard ratio = 1.6, 95 percent CI: 1.21, 2.10), is consistent with this interpretation. Another possible explanation for this nonsignificant finding is that misclassification error for diabetes or Alzheimer's disease or both may have diluted the relation between diabetes and Alzheimer's disease. Self-reported diabetes as used in this study almost certainly underestimated the true prevalence of diabetes; true prevalence has been reported to be twice the prevalence of self-reported disease when subjects with undiagnosed diabetes are considered (3).
This study had important strengths. It was a longitudinal study of nondemented elderly subjects in three ethnic groups that used standardized procedures for the diagnosis of dementia and its subtypes in a prospective fashion. The main limitations of the study were a lack of data on duration of diabetes, severity of diabetes, and the presence of undiagnosed diabetes. The multivariate models assumed a lifetime duration of exposure, which could have resulted in error in the measurement of exposures such as diabetes, lipid levels, and hypertension. However, as we noted above, this did not appreciably affect the hazard ratios for diabetes in relation to Alzheimer's disease and stroke-associated dementia.
The findings of this study support those of previous longitudinal studies that reported a weak association between diabetes and Alzheimer's disease and a strong association between diabetes and stroke-associated dementia, and they extend these observations to minority population groups. The population attributable risk for diabetes in relation to stroke-associated dementia was significantly greater in Blacks and Hispanics than in Whites.
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ACKNOWLEDGMENTS |
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NOTES |
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REFERENCES |
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