Although recent studies have suggested that the γ-aminobutyric acid type A (GABAA) receptor binding affinity can be a more sensitive marker of age-related neuronal loss than regional gray matter (GM) volume, knowledge about the relationship between decreased GABAA receptor binding affinity and cognitive decline during normal aging is still limited.

Thirty-seven healthy elderly individuals (aged 50–77 years (mean, 64.5 ± 7.3 years); 15 males and 22 females) were enrolled in this study. We investigated the association of the performance of the healthy elderly in the attentional function test with regional GM volume, regional cerebral bold flow (rCBF), and GABAA receptor binding affinity in the resting state by structural magnetic resonance imaging (MRI), arterial spin labeling (ASL), and 123I-iomazenil (IMZ) SPECT, with the analysis focusing on the bilateral inferior frontal gyri.

The score of the rapid visual information processing (RVP) test, which is used to assess visual sustained attention, showed a positive correlation with GABAA receptor binding affinity in the right inferior frontal gyrus. No significant correlation was found between RVP test score and regional GM volume or rCBF.

The findings of 123I-IMZ SPECT, but not those of structural MRI or ASL, suggest that a decreased GABAA receptor binding affinity can be a sensitive marker of cognitive impairment.

The ability of nursing staff to assess and evaluate behavioral and psychological symptoms of dementia (BPSD) to determine when intervention is needed is essential. In order to assist with the assessment process, the current use of the Neuropsychiatric Inventory Nursing Home version (NPI-NH) is internationally accepted. Even though the NPI-NH is thoroughly validated and has several advantages, there are also various challenges when implementing this system in practice. Thus, the aim of this study was to explore clinical reasoning employed by assistant nurses when utilizing the NPI-NH as a tool to assess frequency and severity of BPSD in individuals with advanced dementia.

Twenty structured assessment sessions in which assistant nurses used the NPI-NH were audio recorded and analyzed with a discourse analysis focusing on the activities in the communication.

Four categories were identified to convey assistant nurses' clinical reasoning when assessing and evaluating BPSD using the NPI-NH: considering deteriorations in ability and awareness, incorporating individual and contextual factors, overcoming variations in behaviors and ambiguous formulations in the instrument, and sense-making interactions with colleagues.

The NPI-NH served as a supportive frame and structure for the clinical reasoning performed during the assessment. The clinical reasoning employed by assistant nurses became a way to reach a consensual and broader understanding of the individual with dementia, with the support of NPI-NH as an important framework.

We aim to provide a conversion between Addenbrooke's Cognitive Examination III (ACE-III) and Mini-Mental State Examination (MMSE) scores, to predict the MMSE result based on ACE-III, thus avoiding the need for both tests, and improving their comparability.

Equipercentile equating method was used to elaborate a conversion table using a group of 400 participants comprising healthy controls and Alzheimer's disease (AD) patients. Then, reliability was assessed in a group of 100 healthy controls and patients with AD, 52 with primary progressive aphasia and 22 with behavioral variant frontotemporal dementia.

The conversion table between ACE-III and MMSE denoted a high reliability, with intra-class correlation coefficients of 0.940, 0.922, and 0.902 in the groups of healthy controls and AD, behavioral variant frontotemporal dementia, and primary progressive aphasia, respectively.

Our conversion table between ACE-III and MMSE suggests that MMSE may be estimated based on the ACE-III score, which could be useful for clinical and research purposes.

Population aging places greater demands on the supply of informal carers. The aims of this study were to examine (1) the types of unmet support needs of carers of older Australians and (2) the association of unmet needs with mental health.

Utilizing new data from the 2015 Australian Bureau of Statistics (ABS) Survey of Disability, Ageing and Carers, we calculated the prevalence of carers experiencing specific and multiple unmet needs for support, using single and multiple item measures. Logistic regression models were fitted to examine the association between unmet needs and psychological distress (using the Kessler psychological distress scale), once demographic and health factors were controlled for.

In 2015, 35% of carers of older Australians cited at least one unmet need for support. Among this group, almost two-thirds cited multiple unmet support needs (64.7%). The most prevalent types of unmet needs included financial (18%), physical (13%), and emotional support (12%), as well as additional respite care and support to improve carer health (12%). After controlling for demographic and health characteristics of the carer, having any unmet need for support increased the odds of psychological distress by twofold (OR = 2.20, 95% CI = 1.65, 2.94). With each successive unmet need for support, the odds of psychological distress increased 1.37 times (OR = 1.36, 95% CI = 1.22, 1.54). Those who had received assistance with care, but required further support were 1.95 times more likely (OR = 1.95, 95% CI = 1.17, 3.24) to be in distress and those who had not received care assistance were about 2.4 times more likely (OR = 2.38 95% OR = 1.56, 3.62) to be in distress relative to those with no unmet need.

Addressing unmet support needs of carers is important, not only for the planning of services for carers in an aging population, but also because of the association between unmet support needs and carers mental health.

Late life depression (LLD) confers significant morbidity and mortality but is well recognized that it often goes undetected or untreated. The objective of this study is to quantify the burden of untreated depression and death ideation (DI) at a population level.

Cross-sectional study ascertaining the prevalence of, and factors associated with, untreated depression and DI.

This study, embedded within the Irish Longitudinal Study on Ageing, involves over 7,000 community-dwelling people aged ≥50 years.

Depression was defined as Centre for Epidemiological Studies Depression scale ≥16 indicating current clinically relevant depressive symptoms or Composite International Diagnostic Interview indicative of major depressive episode within the last year. Participants not prescribed antidepressants/antipsychotics were defined as untreated. To define DI, participants were asked “In the last month, have you felt like you would rather be dead?”

In total, 12% (839/7,055) met criteria for depression with 29% (241/839) on pharmacological therapy. Those with untreated depression were less likely to endorse symptoms of persistent low mood or worthlessness, but there was no difference in age or general practitioner (GP) visits compared to those on treatment. Over 3% (223/7,055) of participants had DI and less than one-third had visited their GP within the last year.

This study demonstrates that two-thirds of depressed older people are not prescribed antidepressant/antipsychotic therapy. It is important to raise awareness of depression among older people and healthcare professionals, with particular focus on the fact that LLD is not an inevitable consequence of ageing and effective treatment is available.

Depression is a common and serious healthcare problem for older adults. This study aimed to determine the validity and reliability of GDS-4 and GDS-5 in Turkish, and to establish a new short-form Geriatric Depression Scale (GDS) for our population, and also determine the superiority of each short scale to another.

A total of 437 outpatients were enrolled in the study. A researcher evaluated all participants according to the Diagnostic and Statistical Manual of Mental Disorders-fifth edition (DSM-5) diagnostic criteria, and then another researcher applied GDS-15 to all participants. We obtained the answers of short GDS forms, examined in this study, from GDS-15 forms. After Cohen's κ analysis, we compared the diagnostic value of each question for geriatric depression according to their κ values, and developed three (TGDS-3), four (TGDS-4), five (TGDS-5), and six (TGDS-6) question scales to screen geriatric depression in Turkish population.

A total of 437 participants were assessed. The mean age (SD) of the patients was 72.95 years (7.37).Cronbach's α values of GDS-4 and GDS-5 were <0.70. Cronbach's α values of TGDS-3, TGDS-4, TGDS-5, and TGDS-6 were >0.70. The best cut-off values were ≥5 for GDS-15 and GDS-5, and ≥1 for others.

GDS-15 is the most powerful screening scale for geriatric depression. GDS-4 and GDS-5 are not eligible for depression screening in Turkish older adults. All new short scales are valid and reliable, and TGDS-4 is a practical, less time-consuming option for daily practice.

People with dementia at green care farms (GCFs) are physically more active, have more social interactions, are involved in a larger variety of activities, and come outdoors more often than those in other long-term dementia care settings. These aspects may positively affect health and well-being. This study explored which and how characteristics of GCFs could be implemented in other long-term dementia care settings, taking into account possible facilitators and barriers.

Semi-structured interviews were conducted with 23 professionals from GCFs, independent small-scale long-term care facilities, and larger scale long-term care facilities in the Netherlands. The framework method was used to analyze the data.

Several characteristics of GCFs (e.g. homelike aspects, domestic activities, and access to outdoor environments) have already been applied in other types of long-term dementia care settings. However, how and the extent to which these characteristics are being applied differ between GCFs and other types of long-term dementia care settings. Facilitators and barriers for the implementation of characteristics of GCFs were related to the physical environment in which the care facility is situated (e.g. the degree of urbanization), characteristics and competences of staff members (e.g. flexibility, creativity), characteristics and competences of managers (e.g. leadership, vision), and the political context (e.g. application of risk and safety protocols).

Several characteristics can be implemented in other dementia care settings. However, to realize innovation in dementia care it is important that not only the physical environment but also the social and organizational environments are supporting the process of change.

Previous research has suggested that there is a degree of variability among older adults’ response to memory training, such that some individuals benefit more than others. The aim of the present study was to identify the profile of older adults who were likely to benefit most from a strategic memory training program that has previously proved to be effective in improving memory in healthy older adults.

In total, 44 older adults (60–83 years) participated in a strategic memory training. We examined memory training benefits by measuring changes in memory practiced (word list learning) and non-practiced tasks (grocery list and associative learning). In addition, a battery of cognitive measures was administered in order to assess crystallized and fluid abilities, short-term memory, working memory, and processing speed.

Results confirmed the efficacy of the training in improving performance in both practiced and non-practiced memory tasks. For the practiced memory tasks, results showed that memory baseline performance and crystallized ability predicted training gains. For the non-practiced memory tasks, analyses showed that memory baseline performance was a significant predictor of gain in the grocery list learning task. For the associative learning task, the significant predictors were memory baseline performance, processing speed, and marginally the age.

Our results indicate that older adults with a higher baseline memory capacity and with more efficient cognitive resources were those who tended to benefit most from the training. The present study provides new avenues in designing personalized intervention according to the older adults’ cognitive profile.

Despite recent interest in community-based screening programs to detect undiagnosed cognitive disorder, little is known about whether screening leads to further diagnostic evaluation, or the effects of such programs in terms of actual changes in patient or caregiver behavior. This study followed up informants of older adults (i.e. caregivers of patients who completed informant-based screening regarding the patient) following participation in a study screening for undiagnosed memory problems, to explore uptake of further diagnostic evaluation or treatment, advance planning or preparations, lifestyle changes, medication adherence, and use of support services.

A total of 140 informants of older adult patients were surveyed four to fifteen months following participation in a cognitive screening study. The informants were interviewed with a study-specific survey about cognitive assessment, advance planning, lifestyle changes, and use of support services and general medication adherence.

A minority of patients and informants had engaged in advance planning or made relevant lifestyle changes following cognitive screening. Those assessed as being at higher risk of memory problems were more likely to have attended a full diagnostic evaluation, engaged in support services and experienced medication adherence difficulties.

Only a small proportion of patients participating in cognitive screening subsequently engaged in diagnostic evaluation, advance planning, or lifestyle changes. However, those with higher risk of cognitive impairment were generally more likely to take some action following cognitive screening. Those at higher risk were also more vulnerable due to greater difficulties with medication adherence.

Social cognition tasks, such as identification of emotions, can contribute to the diagnosis of neuropsychiatric disorders. The wide use of Facial Emotion Recognition Test (FERT) is hampered by the absence of normative dataset and by the limited understanding of how demographic factors such as age, education, gender, and cultural background may influence the performance on the test.

We analyzed the influence of these variables in the performance in the FERT from the short version of the Social and Emotional Assessment. This task is composed by 35 pictures with 7 different emotions presented 5 times each. Cognitively healthy Brazilian participants (n = 203; 109 females and 94 males) underwent the FERT. We compared the performance of participants across gender, age, and educational subgroups. We also compared the performance of Brazilians with a group of French subjects (n = 60) matched for gender, age, and educational level.

There was no gender difference regarding the performance on total score and in each emotion subscore in the Brazilian sample. We found a significant effect of aging and schooling on the performance on the FERT, with younger and more educated subjects having higher scores. Brazilian and French participants did not differ in the FERT and its subscores. Normative data for employing the FERT in Brazilian population is presented.

Data here provided may contribute to the interpretation of the results of FERT in different cultural contexts and highlight the common bias that should be corrected in the future tasks to be developed.

Older Chinese people are one of the largest and fastest growing immigrant groups in Western countries. The Geriatric Depression Scale (GDS) and the Geriatric Anxiety Inventory (GAI) are screening tools that have been specifically designed for older people. This study explored their validity, concurrent reliability, and cultural appropriateness for detecting depression and anxiety symptoms among older Chinese immigrants living in Melbourne, Australia.

A total of 87 Chinese people were recruited from Chinese senior groups. Five screening tools were used, including the GDS, the GAI, the Hospital Anxiety and Depression Scale (HADS), the Kessler 10 (K10), and the Patient Health Questionnaire (PHQ-9). Data were collected through standardized interviews.

The GDS and the GAI were found to be reliable and valid tools for detecting depression and anxiety in this sample. Based on the results of the five screening tools, approximately 20% of participants exhibited clinically significant symptoms of depression and 8% of anxiety. Unexpectedly, there was a higher rate of depression and anxiety symptoms among Mandarin speaking people compared with Cantonese speaking people.

This study adds to the evidence that older Chinese immigrants are at greater risk of depression than the general older population. It suggests that primary care and mental health services should be aware of and responsive to the increased risk of depression among this group and that further studies are needed to investigate what is contributing to this increased risk.