Dietary patterns are related to cognitive functioning in elderly enriched with individuals at increased risk for Alzheimer's disease.

PURPOSE: To investigate cross-sectional associations between dietary patterns and cognitive functioning in elderly free of dementia. METHODS: Data of 389 participants from the German DELCODE study (52% female, 69 ± 6 years, mean Mini Mental State Score 29 ± 1) were included. The sample was enriched with elderly at increased risk for Alzheimer's disease (AD) by including participants with subjective cognitive decline, mild cognitive impairment (MCI) and siblings of AD patients. Mediterranean and MIND diets were derived from 148 Food Frequency Questionnaire items, and data-driven patterns by principal component analysis (PCA) of 39 food groups. Associations between dietary patterns and five cognitive domain scores were analyzed with linear regression analyses adjusted for demographics (model 1), and additionally for energy intake, BMI, other lifestyle variables and APOe4-status (model 2). For PCA-derived dietary components, final model 3 included all other dietary components. RESULTS: In fully adjusted models, adherence to Mediterranean and MIND diet was associated with better memory. The 'alcoholic beverages' PCA component was positively associated with most cognitive domains. Exclusion of MCI subjects (n = 60) revealed that Mediterranean and MIND diet were also related to language functions; associations with the alcoholic beverages component were attenuated, but most remained significant. CONCLUSION: In line with data from elderly population samples, Mediterranean and MIND diet and some data-derived dietary patterns were related to memory and language function. Longitudinal data are needed to draw conclusions on the putative effect of nutrition on the rate of cognitive decline, and on the potential of dietary interventions in groups at increased risk for AD.

Supporting family dementia caregivers: testing the efficacy of dementia care management on multifaceted caregivers' burden.

OBJECTIVES: Current research suggests that dementia care management (DCM) can decrease burden and associated health impairments of caregivers. The objective of this secondary analysis is to investigate the impact of DCM on multifaceted caregivers' burden dimensions by differentiating between objective and subjective burden. METHODS: A sample of n = 317 dyads of caregivers and community-dwelling people with dementia (PwD) participated in a general practitioner-based, cluster-randomized intervention trial (Identifier:NCT01401582) with two arms and comprehensive data assessment at baseline and 12-month follow-up. Data provided by the caregiver included an inventory with 88 items in 20 different dimensions. RESULTS: Caregivers in the intervention 'DCM' group showed decreased caregiver burden, especially in caregivers' objective burden due to caring (i.e. emotional support), caregivers' subjective burden due to behavior change (i.e. cognition, aggression and resistance, depression, late symptoms) and caregivers' subjective burden due to perceived conflicts between needs and responsibilities to care (i.e. financial losses) compared to caregivers in the control 'care as usual' group, which showed significant increased caregiver burden after 12 months. CONCLUSION: Our findings support evidence for the effectiveness of DCM to lower family dementia caregivers' burden in multifaceted dimensions.

[Unmet needs of family dementia caregivers of persons with dementia : Primary medical care]. / Offene Versorgungsbedarfe pflegender Angehöriger von Menschen mit Demenz : Primärärztliche Versorgung.

BACKGROUND: Results of current research studies revealed that providing informal care for people with dementia (PwD) is associated with caregivers' burden and a variety of health impairments. In order to provide optimal support for family caregivers of PwD, general practitioners and specialists should be able to identify caregivers' unmet needs in primary care. OBJECTIVES: The present article provides an overview of unmet needs of family caregivers that are relevant for general practitioners as well as specialists in neurology, psychiatry, psychotherapy and psychosomatics. MATERIAL AND METHODS: The present overview is based on current reviews on unmet needs of caregivers of PwD and on results of the general practitioner-based, cluster-randomized controlled intervention trial DelpHi-MV (Life- and person-centred help in Mecklenburg-Western Pomerania, Germany; Identifier: NCT01401582). RESULTS: The article provides an overview of unmet needs of family caregivers for PwD, especially in the domains of social integration, psychological and physical health, legal and financial issues, as well as available and valid measurements. DISCUSSION: The article illustrates the importance and the possibilities for general practitioners and specialists to identify caregivers' unmet needs. The question to what extent unmet needs' assessments for family caregivers of PwD could be implemented and financed in routine care is still under debate.

Drug-related problems in community-dwelling primary care patients screened positive for dementia.

BACKGROUND: Older people have a higher risk of drug-related problems (DRPs). However, little is known about the prevalence of DRPs in community-dwelling people who screened positive for dementia. Our study aimed to determine (1) the prevalence and types of DRPs and (2) the socio-demographic and clinical variables associated with DRPs in people screened positive for dementia in primary care. METHODS: The Dementia: life- and person-centered help in Mecklenburg-Western Pomerania (DelpHi-MV) study is a general practitioner (GP)-based cluster-randomized controlled intervention study to implement and evaluate an innovative concept of collaborative dementia care management in the primary care setting in Germany. Medication reviews of 446 study participants were conducted by pharmacists based on a comprehensive baseline assessment that included a computer-based home medication assessment. ClinicalTrials.gov Identifier: NCT01401582. RESULTS: A total of 1,077 DRPs were documented. In 414 study participants (93%), at least one DRP was detected by a pharmacist. The most frequent DRPs were administration and compliance problems (60%), drug interactions (17%), and problems with inappropriate drug choice (15%). The number of DRPs was significantly associated with the total number of drugs taken and with a formal diagnosis of a mental or behavioral disorder. CONCLUSIONS: Degree of cognitive impairment (MMSE defined) and formal diagnosis of dementia were not risk factors for an increased number of DRPs. However, the total number of drug taken and the presence of a diagnosis of mental and behavioral disorders were associated with an increased total number of DRPs.

[Hearing impairment and dementia]. / Hörstörung und Demenz.

The World Health Organization (WHO) burden of disease study identified dementia and hearing problems as leading causes of loss of quality of life in the industrial world. The prevalence of dementia and hearing problems increases in aging societies. Comorbidity of these two diseases causes increasing demands on healthcare systems. The similarity and possible interaction of symptoms renders diagnosis and therapy of dementia and hearing loss a challenge for neurologists, psychiatrists, ear, nose and throat (ENT) and hearing specialists. Knowledge of both diseases enables an early intervention and helps preserve participation in society and thereby reducing the risk of developing dementia. This paper focuses on the characteristics of the diagnosis and therapy of hearing problems and dementia.

Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease-A systematic model evaluation.

Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with various other measures (such as genetic covariates, biomarkers, vascular risk factors, neuropsychological tests etc.) might provide useful predictions of clinical outcomes during the progression towards Alzheimer's disease (AD). The use of multiple features in predictive frameworks for clinical outcomes has become increasingly prevalent in AD research. However, many studies do not focus on systematically and accurately evaluating combinations of multiple input features. Hence, the aim of the present work is to explore and assess optimal combinations of various features for MR-based prediction of (1) cognitive status and (2) biomarker positivity with a multi-kernel learning Gaussian process framework. The explored features and parameters included (A) combinations of brain tissues, modulation, smoothing, and image resolution; (B) incorporating demographics & clinical covariates; (C) the impact of the size of the training data set; (D) the influence of dimensionality reduction and the choice of kernel types. The approach was tested in a large German cohort including 959 subjects from the multicentric longitudinal study of cognitive impairment and dementia (DELCODE). Our evaluation suggests the best prediction of memory performance was obtained for a combination of neuroimaging markers, demographics, genetic information (ApoE4) and CSF biomarkers explaining 57% of outcome variance in out-of-sample predictions. The highest performance for Aß42/40 status classification was achieved for a combination of demographics, ApoE4, and a memory score while usage of structural MRI further improved the classification of individual patient's pTau status.

Association of basal forebrain volumes and cognition in normal aging.

The basal forebrain cholinergic system (BFCS) is known to undergo moderate neurodegenerative alterations during normal aging and severe atrophy in Alzheimer's disease (AD). It has been suggested that functional and structural alterations of the BFCS mediate cognitive performance in normal aging and AD. But, it is still unclear to what extend age-associated cognitive decline can be related to BFCS in normal aging. We analyzed the relationship between BFCS volume and cognition using MRI and a comprehensive neuropsychological test battery in a cohort of 43 healthy elderly subjects spanning the age range from 60 to 85 years. Most notably, we found significant associations between general intelligence and BFCS volumes, specifically within areas corresponding to posterior nuclei of the nucleus basalis of Meynert (Ch4p) and the nucleus subputaminalis (NSP). Associations between specific cognitive domains and BFCS volumes were less pronounced. Supplementary analyses demonstrated that especially the volume of NSP but also the volume of Ch4p was related to the volume of widespread temporal, frontal, and parietal gray and white matter regions. Volumes of these gray and white matter regions were also related to general intelligence. Higher volumes of Ch4p and NSP may enhance the effectiveness of acetylcholine supply in related gray and white matter regions underlying general intelligence and hence explain the observed association between the volume of Ch4p as well as NSP and general intelligence. Since general intelligence is known to attenuate the degree of age-associated cognitive decline and the risk of developing late-onset AD, the BFCS might, besides the specific contribution to the pathophysiology in AD, constitute a mechanism of brain resilience in normal aging.