%0 Journal Article %J J Alzheimers Dis %D 2022 %T Informal Caregivers' Attitude Toward Dementia: The Impact of Dementia Knowledge, Confidence in Dementia Care, and the Behavioral and Psychological Symptoms of the Person with Dementia. A Cross-Sectional Study. %A Teichmann, Birgit %A Gkioka, Mara %A Kruse, Andreas %A Tsolaki, Magda %K Attitude %K Caregivers %K Cross-Sectional Studies %K Dementia %K Humans %K Surveys and Questionnaires %X

BACKGROUND: Dementia is rapidly increasing worldwide due to demographic aging. More than two-thirds of patients are cared by family members. The quality of care depends on the caregivers' attitude toward dementia influencing patient care decisions.

OBJECTIVE: The aim of this study is to examine the factors that influence the caregivers' attitude and whether there is an association between participation in a psycho-educational program and attitude.

METHODS: We performed a cross-sectional study using a structured closed-ended questionnaire to retrieve socio-demographic information from caregivers and the persons with dementia (N = 86). The study included validated scales such as the Dementia Attitude Scale, the Dementia Knowledge Assessment Tool 2, the Positive Aspects of Caregiving, the Zarit Burden Interview, the Confidence in Dementia Scale, and Spielberger's State-Trait Anxiety Inventory, as well as a neuropsychological battery to assess the condition of people with dementia.

RESULTS: Our final model explains 55.6% of the total variance and shows a significant correlation of five factors with attitude toward dementia: confidence, behavioral and psychological symptoms of dementia, anxiety as a trait, positive aspects of caregiving, and dementia knowledge. The caregivers who participated in a psycho-educational program showed a significantly more positive attitude toward dementia, better dementia knowledge, higher confidence in dementia care, and lower anxiety as a state.

CONCLUSION: The strong correlation of attitude and knowledge, as well as confidence in dementia care, supports the tripartite model of attitude, which hypothesizes the interrelation of affect, cognition, and behavior.

%B J Alzheimers Dis %V 88 %P 971-984 %8 2022 %G eng %N 3 %1 https://www.ncbi.nlm.nih.gov/pubmed/35723101?dopt=Abstract %R 10.3233/JAD-215731 %0 Journal Article %J J Alzheimers Dis %D 2016 %T Longitudinal Protein Changes in Blood Plasma Associated with the Rate of Cognitive Decline in Alzheimer's Disease. %A Sattlecker, Martina %A Khondoker, Mizanur %A Proitsi, Petroula %A Williams, Stephen %A Soininen, Hilkka %A Kłoszewska, Iwona %A Mecocci, Patrizia %A Tsolaki, Magda %A Vellas, Bruno %A Lovestone, Simon %A Dobson, Richard Jb %K Aged %K Alzheimer Disease %K Biomarkers %K Cognition %K Cognitive Dysfunction %K Disease Progression %K Female %K Follow-Up Studies %K Humans %K Linear Models %K Longitudinal Studies %K Male %K Mental Status Schedule %K Neuropsychological Tests %X

Biomarkers of Alzheimer's disease (AD) progression are needed to support the development of urgently needed disease modifying drugs. We employed a SOMAscan assay for quantifying 1,001 proteins in blood samples from 90 AD subjects, 37 stable mild cognitive impaired (MCI) subjects, 39 MCI subjects converting to AD within a year and 69 controls at baseline and one year follow up. We used linear mixed effects models to identify proteins changing significantly over one year with the rate of cognitive decline, which was quantified as the reduction in Mini Mental State Examination (MMSE) scores. Additionally, we investigated proteins changing differently across disease groups and during the conversion from MCI to AD. We found that levels of proteins belonging to the complement cascade increase significantly in fast declining AD patients. Longitudinal changes in the complement cascade might be a surrogate biomarker for disease progression. We also found that members of the cytokine-cytokine receptor interaction pathway change during AD when compared to healthy aging subjects.

%B J Alzheimers Dis %V 49 %P 1105-14 %8 2016 %G eng %N 4 %1 http://www.ncbi.nlm.nih.gov/pubmed/26599049?dopt=Abstract %R 10.3233/JAD-140669 %0 Journal Article %J J Alzheimers Dis %D 2016 %T A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer's Disease Diagnosis. %A Voyle, Nicola %A Keohane, Aoife %A Newhouse, Stephen %A Lunnon, Katie %A Johnston, Caroline %A Soininen, Hilkka %A Kloszewska, Iwona %A Mecocci, Patrizia %A Tsolaki, Magda %A Vellas, Bruno %A Lovestone, Simon %A Hodges, Angela %A Kiddle, Steven %A Dobson, Richard Jb %K Aged %K Aged, 80 and over %K Alzheimer Disease %K Apolipoproteins E %K Cohort Studies %K Datasets as Topic %K Female %K Gene Expression %K Gene Expression Profiling %K Humans %K Male %K Models, Genetic %K Oligonucleotide Array Sequence Analysis %K Signal Transduction %X

BACKGROUND: Recent studies indicate that gene expression levels in blood may be able to differentiate subjects with Alzheimer's disease (AD) from normal elderly controls and mild cognitively impaired (MCI) subjects. However, there is limited replicability at the single marker level. A pathway-based interpretation of gene expression may prove more robust.

OBJECTIVES: This study aimed to investigate whether a case/control classification model built on pathway level data was more robust than a gene level model and may consequently perform better in test data. The study used two batches of gene expression data from the AddNeuroMed (ANM) and Dementia Case Registry (DCR) cohorts.

METHODS: Our study used Illumina Human HT-12 Expression BeadChips to collect gene expression from blood samples. Random forest modeling with recursive feature elimination was used to predict case/control status. Age and APOE ɛ4 status were used as covariates for all analysis.

RESULTS: Gene and pathway level models performed similarly to each other and to a model based on demographic information only.

CONCLUSIONS: Any potential increase in concordance from the novel pathway level approach used here has not lead to a greater predictive ability in these datasets. However, we have only tested one method for creating pathway level scores. Further, we have been able to benchmark pathways against genes in datasets that had been extensively harmonized. Further work should focus on the use of alternative methods for creating pathway level scores, in particular those that incorporate pathway topology, and the use of an endophenotype based approach.

%B J Alzheimers Dis %V 49 %P 659-69 %8 2016 %G eng %N 3 %1 http://www.ncbi.nlm.nih.gov/pubmed/26484910?dopt=Abstract %R 10.3233/JAD-150440