scholarly journals Outcomes of stable and unstable patterns of subjective cognitive decline – results from the Leipzig Longitudinal Study of the Aged (LEILA75+)

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Susanne Roehr ◽  
Arno Villringer ◽  
Matthias C. Angermeyer ◽  
Tobias Luck ◽  
Steffi G. Riedel-Heller
2015 ◽  
Vol 48 (s1) ◽  
pp. S33-S42 ◽  
Author(s):  
Tobias Luck ◽  
Susanne Roehr ◽  
Frank Jessen ◽  
Arno Villringer ◽  
Matthias C. Angermeyer ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 750-750
Author(s):  
Shawna Hopper ◽  
Nicole Hammond ◽  
Arne Stinchcombe

Abstract Subjective cognitive decline (SCD) is a self-reported decline in cognition among otherwise cognitively healthy older adults. It is believed that SCD may be a precursor to Alzheimer’s Disease (AD). Analyzing data from the Canadian Longitudinal Study on Aging (CLSA), a large national sample of participants aged 45-85 at baseline, we sought to identify prospective relationships between health-related behaviors and SCD. Exposures were measured at baseline and SCD was measured three years later, with the question: “Do you feel like your memory is becoming worse?”. A multivariable logistic regression model was used to estimate odds of SCD (analytic sample: n=35,680). Alcohol consumption was associated with increased odds of SCD, with regular drinkers (OR=1.13, 95% CI: 1.04, 1.22) and frequent drinkers (OR=1.17, 95% CI: 1.08, 1.27) more likely to report SCD than never drinkers. Compared to participants who never smoked, former smokers had increased odds of SCD (OR=1.13, 95% CI: 1.08, 1.18), whereas current smokers had reduced odds of SCD (OR=0.90, 95% CI: 0.83, 0.98). Participants who consumed five or more servings of fruits/ vegetables had reduced odds of SCD (OR=0.95, 95% CI: 0.91, 0.99), when compared to those who consumed <5 servings. Lastly, we did not observe any associations between walking and SCD. This study identifies relationships between various health-related behaviors and SCD in a large population-based sample of older Canadians. Identification of modifiable risk factors may help with early prevention and intervention of SCD.


BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028188 ◽  
Author(s):  
Xuanyu Li ◽  
Xiaoni Wang ◽  
Li Su ◽  
Xiaochen Hu ◽  
Ying Han

IntroductionUnderstanding the biological mechanism of subjective cognitive decline (SCD) in preclinical Alzheimer’s disease (AD) and identifying those who will soon convert to mild cognitive impairment (MCI) are critical for developing appropriate strategies for early diagnosis and intervention of AD. We present the study protocol of the Sino Longitudinal Study on Cognitive Decline (SILCODE), a longitudinal observational study focusing on SCD in the context of AD.Methods and analysisWithin SILCODE, approximately 800 subjects with SCD who are between 50 and 79 years old will be recruited through standardised public advertisements or memory clinics. They will undergo extensive assessment, including clinical and neuropsychological assessments, blood sample collection for plasma beta-amyloid and ApoE genotype, urine samples collection for AD7c-NTP, and multimodal MRI scans (structural MRI, diffusion tensor imaging, resting-state functional MRI and optional task-based functional MRI) as well as optional glucose metabolism and amyloid positron emission tomography. Subjects will be contacted by telephone every 3 months and interviewed, on average, every 15 months for 5 years. The study endpoint is the development of mild cognitive impairment or dementia. Jak & Bondi’s actuarial neuropsychological method will be used for diagnosis of MCI. The least absolute shrinkage and selection operator logistic regression model followed by the sub-distribution hazard function model with death as a competing risk will be constructed to establish risk prediction models.Ethics and disseminationThe ethics committee of the Xuanwu Hospital of Capital Medical University has approved this study protocol (ID: [2017]046). The results will be published in peer-reviewed journals and presented at national and international scientific conferences.Trial registration numberNCT03370744; Pre-results.


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