scholarly journals Potentially Modifiable Risk Factors in the Development of Alzheimer’s Disease

US Neurology ◽  
2010 ◽  
Vol 05 (02) ◽  
pp. 18 ◽  
Author(s):  
Simon Forstmeier ◽  
Andreas Maercker ◽  
◽  

This article summarises empirical findings on major potentially modifiable risk factors in the development of Alzheimer’s disease (AD), drawing on data from longitudinal epidemiological studies on the incidence of AD or any-cause dementia. Risk factors investigated to date include cognitive ability, motivational ability, emotional health, physical activity, social activity and social network, vascular risk factors and nutrition. The authors find most empirical support for two main clusters of risk factors that also represent potential targets for prevention. First, an active and stimulating lifestyle including cognitive, social, and physical activities reduces the risk of AD. Second, the absence of vascular risk factors such as diabetes, hypertension, hypercholesterol and obesity reduces the risk of AD. More prevention trials are warranted to investigate the preventative effects of an active and stimulating lifestyle on the one hand, and vascular health on the other, in delaying the onset of AD or slowing its progression.

2019 ◽  
Vol 7 (4) ◽  
pp. 516-520 ◽  
Author(s):  
Gabriela Novotni ◽  
Milena Jakimovska ◽  
Dijana Plaseska-Karanfilska ◽  
Nikolina Tanovska ◽  
Igor Kuzmanovski ◽  
...  

BACKGROUND: Alzheimer’s disease (AD), the most common cause of dementia, is evolving to become a threatening epidemy of the 21st century. Only 21% of the predicted number of AD patients in Macedonia have been diagnosed and treated, which means that almost 80% are underdiagnosed or misdiagnosed. Apolipoprotein E gene (APOE) is recognised as the strongest genetic risk factor for sporadic AD. Whether and when Alzheimer’s disease develops, depends on the very complex interaction between genetic and modifiable risk factors. It has been known that vascular factors like hypertension, diabetes mellitus, hypercholesterolemia and obesity increase the risk of developing both AD, vascular dementia and mixed AD and vascular pathology AIM: This study aims to evaluate the influence of APOEε4 allele presence and modifiable vascular risk factors (hypertension, diabetes mellitus and dyslipidemia) as prognostic and risk factors for AD and their influence on the age of onset of AD symptoms among 144 AD patients from Macedonia. MATERIAL AND METHODS: Study group of a total of 144 patients diagnosed with AD was evaluated. APOE genotyping was performed using APOE haplotype-specific sequence specific-primer (SSP)-PCR (Polymerase Chain Reaction) methodology. The non-standardized questionnaire was used to obtain information about demographics, lifestyle and modifiable risk factors that could influence disease onset and phenotype. RESULTS: Statistically significant association was found between the presences of APOEε4 allele in AD group versus controls. The presence of APOEε4 allele increases the risk of developing AD in a 3-fold manner. The average age of disease onset in the ε4 carrier group was 67.2 ± 8.3 and in the ε4 non-carrier group 69.7 ± 9.4. This confirms that the presence of APOEε4 allele shifts towards earlier disease onset, though the difference is not statistically significant. Out of the vascular risk factors, only hypertension was significantly associated with earlier AD onset. Out of total 144 patients, in 22.9% the first symptom onset was before the age of 65, that can be considered as early onset Alzheimer’s Disease (EOAD), which is much higher than 5% for EOAD as most of the studies report. CONCLUSIONS: The average age of disease onset of 68.4 years could be considered earlier than the average age of AD onset worldwide. Out of all the vascular risk factors analysed in this study, only hypertension and dyslipidemia were found to significantly increase the risk for developing AD and only the presence of hypertension influences the age of onset, shifting towards earlier disease onset. Public awareness campaigns should be organised to influence general population knowledge about Alzheimer’s disease, early recognition and the influence of modifiable vascular risk factors.


2012 ◽  
Vol 32 (3) ◽  
pp. 531-540 ◽  
Author(s):  
Anna-Maija Tolppanen ◽  
Alina Solomon ◽  
Hilkka Soininen ◽  
Miia Kivipelto

2019 ◽  
Vol 67 (1) ◽  
pp. 291-302 ◽  
Author(s):  
Gali H. Weissberger ◽  
Tamar H. Gollan ◽  
Mark W. Bondi ◽  
Daniel A. Nation ◽  
Lawrence A. Hansen ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Toshioki Matsuzawa ◽  
Toshihiro Takata ◽  
Koichi Yokono ◽  
Hiroo Ueda ◽  
Kensuke Moriwaki ◽  
...  

Background/Aims. Diabetes might increase the risk of Alzheimer’s disease (AD). For detecting dementia, it is typical to obtain informants’ perceptions of cognitive deficits, but such interviews are usually difficult in routine care. We aimed to develop a model for predicting mild to moderate AD using a self-reported questionnaire and by evaluating vascular risk factors for dementia in elderly subjects with diabetes.Methods. We recruited 286 diabetic and 155 nondiabetic elderly subjects. There were 25 patients with AD and 261 cognitively normal individuals versus 30 with AD and 125 normal subjects, respectively. Each participant answered subjective questions on memory deficits and daily functioning. Information on vascular risk factors was obtained from clinical charts, and multivariate logistic regression was used to develop a model for predicting AD.Results. The predicted probabilities used in screening for AD in diabetic subjects constituted age, education, lower diastolic blood pressure, subjective complaints of memory dysfunction noticeable by others, and impaired medication, shopping, and travel outside a familiar locality. Receiver operating characteristic analysis revealed a satisfactory discrimination for AD specific for diabetic elderly subjects, with 95.2% sensitivity and 90.6% specificity.Conclusion. This is the first useful index that can prescreen for AD in elderly subjects with diabetes.


2010 ◽  
Vol 6 ◽  
pp. e5-e5
Author(s):  
Takahshi Yamazaki ◽  
Daiki Takano ◽  
Tetsuya Maeda ◽  
Hisatsugu Masaki ◽  
Ken Nagata

2002 ◽  
Vol 56 (2) ◽  
pp. 85-94 ◽  
Author(s):  
Miia Kivipelto ◽  
Eeva-Liisa Helkala ◽  
Aulikki Nissinen ◽  
Hilkka Soininen ◽  
Jaakko Tuomilehto

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