Cognitive and functional impairment increase risk for post-coronary artery bypass graft (CABG) surgery delirium (PCD), but how much impairment is necessary to increase PCD risk remains unclear.

The Neuropsychiatric Outcomes After Heart Surgery (NOAHS) study is a prospective, observational cohort study of participants undergoing elective CABG surgery. Pre-operative cognitive and functional status based on Clinical Dementia Rating (CDR) scale and neuropsychological battery are assessed. We defined mild cognitive impairment (MCI) based on either (1) CDR global score 0.5 (CDR-MCI) or (2) performance 1.5 SD below population means on any cognitive domain on neurocognitive battery (MCI-NC). Delirium was assessed daily post-operative day 2 through discharge using the confusion assessment method (CAM) and delirium index (DI). We investigate whether MCI – either definition – predicts delirium or delirium severity.

So far we have assessed 102 participants (mean age 65.1 ± 9; male: 75%) for PCD. Twenty six participants (25%) have MCI-CDR; 38 (62% of those completing neurocognitive testing) met MCI-NC criteria. Fourteen participants (14%) developed PCD. After adjusting for age, sex, comorbidity, and education, MCI-CDR, MMSE, and Lawton IADL score predicted PCD on logistic regression (OR: 5.6, 0.6, and 1.5, respectively); MCI-NC did not (OR [95% CI]: 11.8 [0.9, 151.4]). Using similarly adjusted linear regression, MCI-CDR, MCI-NC, CDR sum of boxes, MMSE, and Lawton IADL score predicted delirium severity (adjusted R2: 0.26, 0.13, 0.21, 0.18, and 0.32, respectively).

MCI predicts post-operative delirium and delirium severity, but MCI definition alters these relationships. Cognitive and functional impairment independently predict post-operative delirium and delirium severity.

It may be assumed that increased public awareness of dementia due to Alzheimer's disease (AD) together with the availability of efficacious treatment will result in diagnostic evaluation at earlier stages of cognitive decline and diagnosis of dementia due to AD at earlier stages.

All persons that were examined at a university based memory clinic, in Germany, between 1985 and 2009 were included.

In the 3,951 persons identified, linear regression analysis revealed a positive association between Mini Mental State Examination (MMSE) score and year of initial examination (yearIE) (β = 0.266; p < 0.001). In the 1,821 patients diagnosed with dementia due to AD, a positive association between MMSE score and yearIE (β = 0.230; p < 0.001) was revealed. MMSE scores were higher (β = 0.195; p < 0.001) after the introduction of cholinesterase inhibitors in Germany in 1997.

Diagnostic evaluation of individuals occurred at progressively earlier stages of cognitive decline. Dementia due to AD was diagnosed at progressively earlier stages, and this trend was associated with the availability of efficacious treatment. This is the first study on changes in patient referral and diagnosis based on a continuous 25 years period.

The prevalence of dementia in Australian nursing homes is high. A large proportion of residents express themselves through agitated behaviors, with substantial interpersonal and day-to-day variance. One factor that may increase agitation is poor sleep. The current study aimed to determine if sleep influences symptoms of agitation in nursing home residents, and whether this effect differed by dementia status. As benzodiazepines are used widely as hypnotic medication, their impact was also considered.

Actigraph devices worn on residents’ non-dominant wrists for three days were used to obtain objective measures of sleep. Symptoms of agitation were assessed using staff responses to two standardized questionnaires – the Cohen-Mansfield Agitation Inventory (CMAI) and the Neuropsychiatric Inventory – nursing home version (NPI-NH). Presence of dementia and benzodiazepine use were obtained from resident medical charts.

Forty-nine residents (mean age: 85.57 years) from four nursing homes in Tasmania were included in the study. Results indicated that residents were in bed for an average of 11.04 h and slept for 10.14 h per day. Significant relationships between sleep and verbal as well as non-aggressive agitation were found. No relationships between sleep and aggressive agitation were detected. A significant moderation effect of dementia was found, in which residents without dementia expressed verbal agitation when obtaining less sleep, but not residents with dementia. Benzodiazepine use did not result in significantly more sleep.

These results suggest that sleep could play an important role in explaining agitation, but more research is needed to explore the relationship between sleep and benzodiazepines in nursing home residents.

Indigenous populations may be at increased risk, compared with majority populations, for the development of dementia due to lower education levels and socio-economic status, higher rates of diabetes, hypertension, cardiovascular disease and alcohol abuse, an aging population structure, and poorer overall health. This is the first systematic review investigating the prevalence and incidence of dementia in indigenous populations worldwide.

This systematic review was conducted in accordance with PRISMA guidelines. We searched MEDLINE, Embase, and PsycInfo for relevant papers published up to April 2015. Studies were included if they reported prevalence or incidence, the disease typically occurred after the age of 45, the study population included indigenous people, and the study was conducted in the general population.

Fifteen studies representing five countries (Canada, Australia, the USA, Guam, Brazil) met the inclusion criteria. Dementia prevalence ranged from 0.5% to 20%. Retrospective studies relying on medical records for diagnoses had much lower prevalence rates and a higher risk of bias than population-based prospective studies performing their own diagnoses with culturally appropriate cognitive assessment methods.

The prevalence of dementia among indigenous populations appears to be higher than it is for non-indigenous populations. Despite a building body of evidence supporting the need for dementia research among indigenous populations, there is a paucity of epidemiological research, none of which is of high quality.

Many definitions of successful aging (SA) exist in the absence of an established consensus definition. There are few examples of a priori application of SA models in real world contexts using external validation procedures. The current study aims to establish the predictive validity of an a priori, continuous model of SA with respect to service utilization.

Individuals (n = 740; 64.2% female) aged 65 years and over (mean 75.9; SD 6.2), randomly selected from general practitioner registries in five sites across the United Kingdom included in the second and third combined screen and assessment waves of the Medical Research Council Cognitive Function and Aging Study (MRC CFAS; a longitudinal population-based cohort study) comprised the baseline and two-year follow-up in the current study. A Successful Aging Index (SAI) was created using items identified by systematic reviews of operational definitions and lay perspectives of SA, capturing physiological and psychosocial components. Demographic data and SAI components were collected at baseline. Outcome measures, i.e. health service use, informal care use, and functional service, were captured at two years follow-up.

Logistic regression revealed significant relationships between the SAI and six of eight service use outcomes in models adjusted for age, sex, education, and socio-economic status. Analysis of the area under the receiver operating characteristic (ROC) curve demonstrated sufficient predictive capabilities for all models, (range 0.65–0.86).

The SAI demonstrated a strong association, and predictive accuracy, with respect to service use, providing preliminary support for the practical utility and usefulness of this measure.

Becoming widowed is a significant event. There is considerable evidence that surviving partners report substantial changes in their wellbeing and mental health. Changes can occur prior to partner's death as an anticipatory effect and consequently during the period after partner's death. For most, declines in wellbeing and mental health dissipate over time. However, there is a limited long-term evidence to compare age-normative trajectories in mental health and wellbeing with the trajectories of those who transition into widowhood.

Participants (n = 652) were older adults (aged 65–94 years at baseline) from the 16-year Melbourne Longitudinal Studies on Healthy Ageing project who were either married or de facto (n = 577), or recently widowed (n = 75). Generalized Estimating Equations (GEE) examined the immediate and long-term impact of widowhood. GEE piecewise regression analyses examined the trajectories of wellbeing and mental health in those who transitioned into widowed with time centered at time of partner's death. Analyses were stratified by gender.

For both men and women, becoming widowed was strongly related to a strong decline in positive affect post partner's death. Otherwise, no long-term impact of widowhood on negative affect or depressive symptomology was reported.

The impact of widowhood reports differential impacts on different indicators of wellbeing and mental health, which were inconsistent between men and women.

We sought to investigate the relationship between neuroticism and depression in an elderly cohort. In this paper, we describe the methods of an National Institute of Mental Health—NIMH-supported study and present findings among the cohort enrolled to date.

We used the NEO Personality Inventory to assess neuroticism, and we employed several cognitive neuroscience-based measures to examine emotional control.

Compared with a group of 27 non-depressed older control subjects, 33 older depressed subjects scored higher on measures of state and trait anxiety and neuroticism. On our experimental neuroscience-based measures, depressed subjects endorsed more negative words compared with controls on an emotional characterization test. In addition, we found a significant group-by-congruency effect on an emotional interference test where subjects were asked to identify the face's emotional expression while ignoring the words “fear” or “happy” labeled across the face.

Thus, in this preliminary work, we found significant differences in measures of neuroticism and emotional controls among older adults with and without depression.

Depression, if broadly defined, is the commonest late-life mental disorder. We examined the distribution of depressive symptoms and suicidal thoughts, across age, sex, literacy, and marital status, among elderly individuals residing in rural Bangladesh and participating in a population-based study on health and aging.

Prevalence figures of depressive symptoms were assessed with SRQ20 (n = 625), and possible social network and economic associations were examined. Morbidity accounts of depressive symptoms and suicidal thoughts were examined for a subsample that also underwent complete medical examination (n = 471).

We selected for analyses the items that corresponded to DSM-IV criteria and constructed a dichotomous variable. The prevalence was 45%, and most pronounced among the oldest women (70%). The overall prevalence of suicidal thoughts was 23%. Being a woman, illiterate or single were all risk factors for depressive symptoms and suicidal thoughts. These associations remained unaccounted for by the social network and economic variables. Co-residing with a child and having a high quality of contact were protective of both depressive symptoms and suicidal thoughts. The main findings were replicated in the subsample, where it was found that morbidities were also associated with the outcomes, independently of the four main predictors.

Prevalence figures for depressive symptoms among elderly in rural Bangladesh are high. Demographic, social network, and morbidity factors are independently associated with both depressive symptoms and suicidal thoughts. This is the first study to report prevalence figures for depressive symptoms in this population.

The relationship between late-life depression, poverty, social network, and perceived health is little studied in Africa; the magnitude of the problem remains largely unknown and there is an urgent need to research into this area.

We interviewed community dwelling elderly persons of two rural areas in Nigeria using Mini-Mental State Examination (MMSE) and Geriatric Depression Scale (GDS-30). Those who scored 11 and above on the GDS-30 were further interviewed using Geriatric Mental State Schedule (GMSS). Diagnosis of depression was based on the International Classification of Diseases 10th edition (ICD-10) and GMSS-Automated Geriatric Examination for Computer Assisted Taxonomy (GMMS-AGECAT).

A total of 458 community dwelling elderly persons participated in the study of which 57% were females. Mean age of the participants was 73.65(±7.8) years (95% CI 72.93–74.37). The mean GDS-30 and MMSE scores were 4.15(±4.80) and 21.73(±4.67), respectively. A total of 59 and 58 participants had depression based on ICD-10 criteria and GMSS-AGECAT, respectively. Agreement between ICD-10 and AGECAT diagnoses was κ = 0.931. By multiple logistic regression analysis, late-life depression was significantly associated with financial difficulties (Odds ratio 4.52 and bereavement Odds ratio 2.70).

Late-life depression in this cohort is associated with health and socio-economic factors that are worth paying attention to, in a region of economic deprivation and inadequate healthcare.

Though many staff gain satisfaction from working with people with dementia in residential facilities, they also experience significant stress. This is a serious issue because this in turn can affect the quality of care. There is, however, a lack of instruments to measure staff strain in the dementia-specific residential care environment, and the aim of this study, accordingly, was to develop the “Strain in Dementia Care Scale.”

The instrument was developed in three steps. In the first step, items were derived from six focus group discussions with 35 nurses in the United Kingdom, Australia, and Sweden concerning their experience of strain. In the second step, a preliminary 64-item scale was distributed to 927 dementia care staff in Australia and Sweden, which, based on exploratory factor analysis, resulted in a 29-item scale. In the final step, the 29-item scale was distributed to a new sample of 346 staff in Sweden, and the results were subjected to confirmatory factor analysis.

The final scale comprised the following 27 items producing a five-factor solution: Frustrated empathy; difficulties understanding and interpreting; balancing competing needs; balancing emotional involvement; and lack of recognition.

The scale can be used (a) as an outcome measurement in residential care intervention studies; (b) to help residential facilities identify interventions needed to improve staff well-being, and, by extension, those they care for; and (c) to generally make more salient the critical issue of staff strain and the importance of ameliorating it.

Earlier research showed that multi-component dyadic interventions – including a combination of intervention strategies and addressing both the person with dementia and caregiver – have a beneficial impact on the mental and physical health of people with dementia and their family caregivers. A randomized controlled trial (RCT) of a multi-component dyadic intervention, which is a translated and adapted version of an intervention that has been shown to be effective in the US by Teri et al. (2003), was performed. The effects on caregivers’ mood (primary outcome), burden, general health, and salivary cortisol levels (secondary outcomes) were studied.

Community-dwelling people with dementia and their family caregivers (N = 111 dyads) were randomly assigned. The experimental group received eight home visits during three months, combining physical exercise and support (psycho-education, communication skills training, and planning of pleasant activities). Both the physical exercise and support component were directed at both the person with dementia and the caregiver. The comparison group received monthly information bulletins and phone calls. There were three measurements at baseline (prior to the intervention), at three months, and at six months into the intervention. Data were analyzed with Generalized Estimating Equations (GEE) based on an intention-to-treat analysis of all available data.

All analyses showed no benefits of the intervention over time on any of the outcomes.

The negative results might be explained by the translation and adaptation of the intervention that has been shown to be effective in the US: the intervention was shortened and did not include cognitive reframing. However, only the health effects on people with dementia and not on caregivers were studied in the US. Several other factors might also have played a role, which are important for future studies to take into account. These are: the usual health care in the country or region of implementation; the wishes and needs of participants for specific intervention components; the room for improvement regarding these components; the inclusion of positive outcome measures, such as pleasure, and the quality of the relationship.

Well-being and various forms of agitation in people with dementia can be improved in a person-centered long-term care setting. Data obtained during the Person-Centered Dementia Care and Environment (PerCEN) randomized controlled trial shed light on the factors that influenced the adoption and outcomes of person-centered interventions in long-term care from the perspective of study participants.

Data were obtained from PerCEN participants: individual semi-structured interviews with care managers (29), nurses and care staff (70); telephone surveys with family members (73); staff reports of care approaches; and 131 field note entries recorded by the person-centered care and environment facilitators. Data were interpreted inductively using content analysis, code building, theme development, and synthesis of findings.

All data sources confirmed that, when adopted, the person-centered model increased the number and variety of opportunities for resident interaction, improved flexibility in care regimens, enhanced staff's attention to resident needs, reduced resident agitation, and improved their well-being. Barriers and enablers for the person-centered model related to leadership, manager, staff and family appreciation of the model, staff's capacity, effective communication and team work among direct care staff, care service flexibility, and staff education on how to focus care on the person's well-being.

Successful knowledge translation of the person-centered model starts with managerial leadership and support; it is sustained when staff are educated and assisted to apply the model, and, along with families, come to appreciate the benefits of flexible care services and teamwork in achieving resident well-being. The Australian New Zealand Clinical Trials Registry number is ACTRN 12608000095369.

Placebo responses raise significant challenges for the design of clinical trials. We report changes in agitation outcomes in the placebo arm of a recent trial of citalopram for agitation in Alzheimer's disease (CitAD).

In the CitAD study, all participants and caregivers received a psychosocial intervention and 92 were assigned to placebo for nine weeks. Outcomes included Neurobehavioral Rating Scale agitation subscale (NBRS-A), modified AD Cooperative Study-Clinical Global Impression of Change (CGIC), Cohen-Mansfield Agitation Inventory (CMAI), the Neuropsychiatric Inventory (NPI) Agitation/Aggression domain (NPI A/A) and Total (NPI-Total) and ADLs. Continuous outcomes were analyzed with mixed-effects modeling and dichotomous outcomes with logistic regression.

Agitation outcomes improved over nine weeks: NBRS-A mean (SD) decreased from 7.8 (3.0) at baseline to 5.4 (3.2), CMAI from 28.7 (6.7) to 26.7 (7.4), NPI A/A from 8.0 (2.4) to 4.9 (3.8), and NPI-Total from 37.3 (17.7) to 28.4 (22.1). The proportion of CGI-C agitation responders ranged from 21 to 29% and was significantly different from zero. MMSE improved from 14.4 (6.9) to 15.7 (7.2) and ADLs similarly improved. Most of the improvement was observed by three weeks and was sustained through nine weeks. The major predictor of improvement in each agitation measure was a higher baseline score in that measure.

We observed significant placebo response which may be due to regression to the mean, response to a psychosocial intervention, natural course of symptoms, or nonspecific benefits of participation in a trial.

Cerebral white matter hyperintensities (WMH) are prevalent incident findings on brain MRI scans among elderly people and have been consistently implicated in cognitive dysfunction. However, differential roles of WMH by region in cognitive function are still unclear. The aim of this study was to ascertain the differential role of regional WMH in predicting progression from mild cognitive impairment (MCI) to different subtypes of dementia.

Participants were recruited from the Clinical Research Center for Dementia of South Korea (CREDOS) study. A total of 622 participants with MCI diagnoses at baseline and follow-up evaluations were included for the analysis. Initial MRI scans were rated for WMH on a visual rating scale developed for the CREDOS. Differential effects of regional WMH in predicting incident dementia were evaluated using the Cox proportional hazards model.

Of the 622 participants with MCI at baseline, 139 patients (22.3%) converted to all-cause dementia over a median of 14.3 (range 6.0–36.5) months. Severe periventricular WMH (PWMH) predicted incident all-cause dementia (Hazard ratio (HR) 2.22; 95% confidence interval (CI) 1.43–3.43) and Alzheimer's disease (AD) (HR 1.86; 95% CI 1.12–3.07). Subcortical vascular dementia (SVD) was predicted by both PWMH (HR 16.14; 95% CI 1.97–132.06) and DWMH (HR 8.77; 95% CI 1.77–43.49) in more severe form (≥ 10 mm).

WMH differentially predict dementia by region and severity. Our findings suggest that PWMH may play an independent role in the pathogenesis of dementia, especially in AD.

Valid telephone assessment for cognitive impairment is lacking in stroke settings. We investigated the feasibility and validity of the 5-minute National Institute of Neurological Disorders and Stroke and Canadian Stroke Network (NINDS-CSN) protocol and six-item screener (SIS) in stroke patients by telephone administration.

Patients were assessed with a comprehensive face-to-face neuropsychological assessment after three months of stroke onset, followed by the 5-minute NINDS-CSN protocol (30 points) and SIS (6 points) at least one month later. Administration time was recorded for the telephone tests. Validity of both tests was determined using the area under the receiver operating characteristics curve (AUC).

Eighty-nine patients (age, 62.9 ± 8.6 years; male, 65.2%) received a face-to-face assessment and 80 completed telephone tests. The time required to administer the 5-minute NINDS-CSN protocol was 4.3 ± 1.0 minutes, and SIS 57.3 ± 17.7 seconds. Validity of detecting cognitive impairment as assessed by AUC was 0.86 (95% CI, 0.78–0.94) for 5-minute NINDS-CSN protocol, and 0.74 (95% CI, 0.63–0.85) for SIS. Sensitivity and specificity were optimal with the cut-off values of 23.5/24 for the 5-minute NINDS-CSN protocol, and 4/5 for SIS.

Both the telephone-based 5-minute NINDS-CSN protocol and SIS were feasible and valid in screening cognitive impairment after stroke in China.

Research shows that lipid levels may be associated with cognitive function, particularly among women. We aimed to examine total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), high-density lipoprotein (HDL), and HDL/LDL ratio in relation to cognitive performance, measured with six well-established cognitive domains and a composite cognitive score (CCS).

In this cross-sectional study, biomarkers and neuropsychological assessment were available for 141 adults with MMSE scores ≥ 24 (mean age = 69 years, 47% female, mean education = 14.4 years) attending a neuropsychological evaluation. Ordinary least squares regressions were adjusted for age, gender, education, and depressive symptoms in Model 1 and also for apolipoprotein E4 (APOE4) status in Model 2.

High-density lipoprotein cholesterol (HDL-C) was associated with better CCS (β = 0.24; p = 0.014). This association was significant among women (β = 0.30; p = 0.026) and not among men (β = 0.20; p = 0.124). HDL-C was also related to attention/working memory (β = 0.24; p = 0.021), again only among women (β = 0.37; p = 0.012) and not men (β = 0.15; p = 0.271). Adjusting for APOE4 yielded significance for high HDL-C and CCS (β = 0.24; p = 0.022).

HDL-C was the main lipoprotein affecting cognitive function, with results somewhat more pronounced among women. Research should investigate the possibility of finding ways to boost HDL-C levels to potentially promote cognitive function.