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Age, education and cholesterol levels, high blood pressure, and obesity at midlife are significantly associated with the later development of dementia, according to findings from a 20-year follow-up study.
A new, simple dementia-risk prediction tool may allow for the earlier detection of the disease based on these midlife factors, Miia Kivipelto of the Karolinska Institute in Stockholm and colleagues reported in Lancet Neurology (Aug. 3, 2006; Epub ahead of print; doi:10.1016/S1474-4422(06)70537-3). The detection technique highlights the role of vascular factors in the development of dementia “and could help to identify individuals who might benefit from intensive lifestyle consultations and pharmacological interventions,” the investigators reported.
Data were derived from the population-based Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) study, in which 1,409 patients were studied in midlife and reexamined 20 years later. Of these patients, 4% were diagnosed with dementia.
Based on the prediction model, future dementia was associated with an age of 47 years or older, less than 10 years of education, systolic blood pressure greater than 140 mm Hg, high cholesterol levels greater than 6.5 mmol/L, and obesity (body mass index over 30 kg/m
Gender, smoking, and physical activity were not significantly associated with dementia. In a second model that factored in apolipoprotein ϵ4 status (carriers vs. noncarriers), age and education became more predictive of risk and cholesterol less so, the investigators reported.
Potential risk factors not examined in this study include a family history of dementia, serum triglyceride levels, HDL and LDL levels, waist-to-hip ratio, and diabetes (insulin resistance). “There is much evidence that diabetes is associated with an increased risk of dementia, and thus its inclusion in future risk scores is important,” the investigators noted. Further research is needed to validate their dementia risk score in other populations.
Age, education and cholesterol levels, high blood pressure, and obesity at midlife are significantly associated with the later development of dementia, according to findings from a 20-year follow-up study.
A new, simple dementia-risk prediction tool may allow for the earlier detection of the disease based on these midlife factors, Miia Kivipelto of the Karolinska Institute in Stockholm and colleagues reported in Lancet Neurology (Aug. 3, 2006; Epub ahead of print; doi:10.1016/S1474-4422(06)70537-3). The detection technique highlights the role of vascular factors in the development of dementia “and could help to identify individuals who might benefit from intensive lifestyle consultations and pharmacological interventions,” the investigators reported.
Data were derived from the population-based Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) study, in which 1,409 patients were studied in midlife and reexamined 20 years later. Of these patients, 4% were diagnosed with dementia.
Based on the prediction model, future dementia was associated with an age of 47 years or older, less than 10 years of education, systolic blood pressure greater than 140 mm Hg, high cholesterol levels greater than 6.5 mmol/L, and obesity (body mass index over 30 kg/m
Gender, smoking, and physical activity were not significantly associated with dementia. In a second model that factored in apolipoprotein ϵ4 status (carriers vs. noncarriers), age and education became more predictive of risk and cholesterol less so, the investigators reported.
Potential risk factors not examined in this study include a family history of dementia, serum triglyceride levels, HDL and LDL levels, waist-to-hip ratio, and diabetes (insulin resistance). “There is much evidence that diabetes is associated with an increased risk of dementia, and thus its inclusion in future risk scores is important,” the investigators noted. Further research is needed to validate their dementia risk score in other populations.
Age, education and cholesterol levels, high blood pressure, and obesity at midlife are significantly associated with the later development of dementia, according to findings from a 20-year follow-up study.
A new, simple dementia-risk prediction tool may allow for the earlier detection of the disease based on these midlife factors, Miia Kivipelto of the Karolinska Institute in Stockholm and colleagues reported in Lancet Neurology (Aug. 3, 2006; Epub ahead of print; doi:10.1016/S1474-4422(06)70537-3). The detection technique highlights the role of vascular factors in the development of dementia “and could help to identify individuals who might benefit from intensive lifestyle consultations and pharmacological interventions,” the investigators reported.
Data were derived from the population-based Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) study, in which 1,409 patients were studied in midlife and reexamined 20 years later. Of these patients, 4% were diagnosed with dementia.
Based on the prediction model, future dementia was associated with an age of 47 years or older, less than 10 years of education, systolic blood pressure greater than 140 mm Hg, high cholesterol levels greater than 6.5 mmol/L, and obesity (body mass index over 30 kg/m
Gender, smoking, and physical activity were not significantly associated with dementia. In a second model that factored in apolipoprotein ϵ4 status (carriers vs. noncarriers), age and education became more predictive of risk and cholesterol less so, the investigators reported.
Potential risk factors not examined in this study include a family history of dementia, serum triglyceride levels, HDL and LDL levels, waist-to-hip ratio, and diabetes (insulin resistance). “There is much evidence that diabetes is associated with an increased risk of dementia, and thus its inclusion in future risk scores is important,” the investigators noted. Further research is needed to validate their dementia risk score in other populations.