scholarly journals Subjective cognitive decline and self‐reported sleep at a memory clinic: The SCIENCe project

2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Lieza G Exalto ◽  
Heleen MA Hendriksen ◽  
Frederik Barkhof ◽  
Karlijn A van den Bosch ◽  
Jarith L Ebenau ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Subjective Cognitive Decline ◽  
Memory Clinic ◽  
Science Project

scholarly journals Dietary Patterns Are Related to Clinical Characteristics in Memory Clinic Patients with Subjective Cognitive Decline: The SCIENCe Project

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1057 ◽  
Author(s):  
Linda M. P. Wesselman ◽  
Astrid S. Doorduijn ◽  
Francisca A. de Leeuw ◽  
Sander C. J. Verfaillie ◽  
Mardou van Leeuwenstijn-Koopman ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Cognitive Decline ◽  
Dietary Patterns ◽  
Clinical Characteristics ◽  
Dietary Quality ◽  
Subjective Cognitive Decline ◽  
Memory Clinic ◽  
Science Project ◽  
Low Salt ◽  
Low Alcohol

As nutrition is one of the modifiable risk factors for cognitive decline, we studied the relationship between dietary quality and clinical characteristics in cognitively normal individuals with subjective cognitive decline (SCD). We included 165 SCD subjects (age: 64 ± 8 years; 45% female) from the SCIENCe project, a prospective memory clinic based cohort study on SCD. The Dutch Healthy Diet Food Frequency Questionnaire (DHD-FFQ) was used to assess adherence to Dutch guidelines on vegetable, fruit, fibers, fish, saturated fat, trans fatty acids, salt and alcohol intake (item score 0–10, higher score indicating better adherence). We measured global cognition (Mini Mental State Examination), cognitive complaints (Cognitive Change Index self-report; CCI) and depressive symptoms (Center for Epidemiologic Studies Depression Scale; CES-D). Using principal component analysis, we identified dietary components and investigated their relation to clinical characteristics using linear regression models adjusted for age, sex and education. We identified three dietary patterns: (i) “low-Fat-low-Salt”, (ii) “high-Veggy”, and (iii) “low-Alcohol-low-Fish”. Individuals with lower adherence on “low-Fat-low-Salt” had more depressive symptoms (β −0.18 (−2.27–−0.16)). Higher adherence to “high-Veggy” was associated with higher MMSE scores (β 0.30 (0.21–0.64)). No associations were found with the low-Alcohol-low-Fish component. We showed that in SCD subjects, dietary quality was related to clinically relevant outcomes. These findings could be useful to identify individuals that might benefit most from nutritional prevention strategies to optimize brain health.

Differences in quantitative methods for measuring subjective cognitive decline – results from a prospective memory clinic study

2016 ◽  
Vol 28 (9) ◽  
pp. 1513-1520 ◽  
Author(s):  
Asmus Vogel ◽  
Lise Cronberg Salem ◽  
Birgitte Bo Andersen ◽  
Gunhild Waldemar
Keyword(s):  
Depressive Symptoms ◽  
Cognitive Decline ◽  
Quantitative Methods ◽  
Cognitive Status ◽  
Cognitive Test ◽  
Subjective Cognitive Decline ◽  
Linear Regression Models ◽  
Memory Clinic ◽  
Subjective Memory ◽  
Wide Range

ABSTRACTBackground:Cognitive complaints occur frequently in elderly people and may be a risk factor for dementia and cognitive decline. Results from studies on subjective cognitive decline are difficult to compare due to variability in assessment methods, and little is known about how different methods influence reports of cognitive decline.Methods:The Subjective Memory Complaints Scale (SMC) and The Memory Complaint Questionnaire (MAC-Q) were applied in 121 mixed memory clinic patients with mild cognitive symptoms (mean MMSE = 26.8, SD 2.7). The scales were applied independently and raters were blinded to results from the other scale. Scales were not used for diagnostic classification. Cognitive performances and depressive symptoms were also rated. We studied the association between the two measures and investigated the scales’ relation to depressive symptoms, age, and cognitive status.Results:SMC and MAC-Q were significantly associated (r = 0.44, N = 121, p = 0.015) and both scales had a wide range of scores. In this mixed cohort of patients, younger age was associated with higher SMC scores. There were no significant correlations between cognitive test performances and scales measuring subjective decline. Depression scores were significantly correlated to both scales measuring subjective decline. Linear regression models showed that age did not have a significant contribution to the variance in subjective memory beyond that of depressive symptoms.Conclusions:Measures for subjective cognitive decline are not interchangeable when used in memory clinics and the application of different scales in previous studies is an important factor as to why studies show variability in the association between subjective cognitive decline and background data and/or clinical results. Careful consideration should be taken as to which questions are relevant and have validity when operationalizing subjective cognitive decline.

P4-153: Subjective Cognitive Decline and Progression to Dementia Due to AD and Non-AD in Memory Clinic and Community-Based Cohorts

2016 ◽  
Vol 12 ◽  
pp. P1073-P1073
Author(s):  
Rosalinde E.R. Slot ◽  
Sietske A.M. Sikkes ◽  
Sander C.J. Verfaillie ◽  
Steffen Wolfsgruber ◽  
Henry Brodaty ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Subjective Cognitive Decline ◽  
Memory Clinic ◽  
Community Based

scholarly journals Subjective cognitive decline in cognitively normal elders from the community or from a memory clinic: Differential affective and imaging correlates

2016 ◽  
Vol 13 (5) ◽  
pp. 550-560 ◽  
Author(s):  
Audrey Perrotin ◽  
Renaud La Joie ◽  
Vincent de La Sayette ◽  
Louisa Barré ◽  
Florence Mézenge ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Subjective Cognitive Decline ◽  
Memory Clinic ◽  
Cognitively Normal ◽  
Community Or

scholarly journals Polygenic risk score for Alzheimer’s disease is related to amyloid positivity in subjective cognitive decline: The SCIENCe project

2020 ◽  
Vol 16 (S4) ◽  
Author(s):  
Sven J. van der Lee ◽  
Jarith L. Ebenau ◽  
Iris E. Jansen ◽  
Inge M.W. Verberk ◽  
Philip Scheltens ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Risk Score ◽  
Subjective Cognitive Decline ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Science Project
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