The aging of the population leads to an increase in the prevalence of dementia and mild cognitive impairment (MCI). Alzheimer's disease (AD) is the most common cause of dementia. Recent studies highlight the early non-amnestic deficits in AD and MCI. The European Union report shows the importance of thoroughly assessing cognitive aspects that have been poorly evaluated, such as processing speed (PS), which could represent early indicators of cognitive decline. Objective: To analyze the diagnostic accuracy of PS measures in older adults with MCI, AD, and those who are cognitively-healthy. Methods: A cross-sectional study was conducted by performing an extensive neuropsychological assessment in three samples: 26 control participants, 22 individuals with MCI, and 21 individuals with AD. Analysis of variance (ANOVA) was employed to test the relationship between dependent variables and the clinical group. Post hoc tests (Bonferroni test) were used when a significant ANOVA result was found. Finally, the Receiver Operating Characteristic (ROC) curve for PS measures was performed in older adults with MCI and AD compared with cognitively-healthy older adults. Results: The results showed that deficits in PS measures can be early indicators of cognitive decline in cases of MCI, even when executive functions (EFs) and functionality are preserved. Conversely, AD versus MCI presented differences in PS, EFs, and functionality. Conclusions: The ROC analyses showed that PS measures had discriminative capacities to differentiate individuals with MCI, AD, and cognitively-healthy older adults.

Purpose of reviewLoneliness is a state of distress or discomfort between the desired and experienced level of connectedness to others. These feelings may be particular salient in urban environments that seemingly offer more opportunities for social contact, highlighting the discrepancy. The topic of loneliness has received increased attention because of its negative impact on mental and physical health combined with concerns of increased loneliness due to lockdowns and social distancing regulations during the coronavirus disease 2019 pandemic. We provide a bibliometric and random-effects meta-analysis of clinical trials published since 2020 and available via PubMed.Recent findingsLoneliness interventions have predominantly focused on elderly in the community. Adolescents and young adults as a second group at risk have received much less attention. On average across 44 effect sizes studied in 38 trials, interventions show moderate levels of effectiveness but are characterized by high heterogeneity and trials are often underpowered and use low quality designs. Multidimensional interventions show promise for alleviating loneliness, but the intervention context needs greater attention.SummaryScalable and effective interventions for the general population and at-risk groups of loneliness are still scarce. Some promising interventions have been trialled and merit further attention.

ABSTRACT. Mild cognitive impairment (MCI) is a widely studied concept that has changed over time. Epidemiology, diagnosis, costs, prognostics, screening procedures, and categorization have been extensively discussed. However, unified guidelines are still not available, especially considering differences between low- and middle-income countries (LMIC) and high-income countries (HIC). Objectives: To contextualize and identify the main areas under investigation regarding MCI diagnosis and to investigate how much of the current knowledge is compatible with the diagnosis in an LMIC. Methods: This brief review followed the framework outlined for a scoping review and goes through the history of MCI and its diagnosis, the differences and relevance of LMIC research regarding the concept, and the current criteria for diagnosis. Results: Results show that the unique characteristics of LMIC influence the development of cognitive decline and how suitable procedures suggested by HIC can be used by LMIC to identify pathological aging processes in their early stages. Conclusion: Neuropsychological assessment of activities of daily living performance, considering the difference between omission and commission errors, is a more accessible course of action as a screening procedure for cognitive decline in LMIC.

Throughout history, people have reported nonordinary experiences (NOEs) such as feelings of oneness with the universe and hearing voices. Although these experiences form the basis of several spiritual and religious traditions, experiencing NOEs may create stress and uncertainty among those who experience such events. To provide a more systematic overview of the research linking NOEs with mental health, we present a systematic review of studies focusing on NOEs, wellbeing and mental health indicators. In a search of ProQuest and PsycInfo, we identified 725 references, of which 157 reported empirical data and were included in our review. Overall, the studies reviewed suggest that the relationship between NOEs and mental health is complex, varying according to a series of psychological and social factors. In particular, they suggest that appraisal processes play a fundamental role in the mental health outcomes of these experiences.However, we also highlight important methodological challenges such as the conceptual overlap between NOEs and well-being or psychopathological constructs, the conflation between experiences and appraisal processes in the assessment procedure, and the need for clearer assessment of the duration, controllability, impact on daily functioning and general context of the experiences. We provide a qualitative summary of empirical evidence and main themes of research, and make recommendations for future investigation.

Background Reaction time is affected under different neurological conditions but has not been much investigated considering all types of mild cognitive impairment (MCI). Objective This study investigated the diagnostic accuracy of CompCog, a computerized cognitive screening battery focusing on reaction time measurements. Methods A sample of 52 older adults underwent neuropsychological assessments, including CompCog, and medical appointments, to be classified as a control group or be diagnosed with MCI. The accuracy of CompCog for distinguishing between the two groups was calculated. Results The results from diagnostic accuracy analyses showed that the AUCs of ROC curves were as high as 0.915 (CI 0.837-0.993). The subtest with the highest sensitivity and specificity (choice reaction time subtest) had 91.7% sensitivity and 89.3% specificity. The logistic regression final model correctly classified 92.3% of individuals, with 92.9% specificity and 91.7% sensitivity, and included only four variables from different subtests. Conclusions In summary, the study showed that reaction time assessed through CompCog is a good screening measure to differentiate between normal aging and MCI. Reaction time measurements in milliseconds were more accurate than correct answers. This test can form part of routine clinical tests to achieve the objectives of screening for MCI, indicating further procedures for investigation and diagnosis and planning interventions.

Although the availability of the computer-based assessment has increased over the years, neuropsychology has not carried out a significant paradigm shift since the personal computer’s popularization in the 1980s. To keep up with the technological advances of healthcare and neuroscience in general, more efforts must be made in the field of clinical neuropsychology to develop and validate new and more technology-based instruments, especially considering new variables and paradigms when compared to paper and pencil tests. Objective: This study’s objective was to produce concurrent validity evidence of the novel version of the computerized cognitive screening battery CompCog. Methods: Participants performed a traditional paper and pencil neuropsychological testing session and another session where CompCog was administrated. The data of a total of 50 young adult college students were used in the analyses. Results: Results have shown moderate and strong correlations between CompCog’s tasks and their equivalents considering paper and pencil tests. Items clustered in agreement with the subtest division in a principal component analysis. Conclusions: The findings suggest that CompCog is valid for measuring the cognitive processes its tasks intend to evaluate.

ObjectiveTo investigate the demographic, clinical and cognitive correlates of functional capacity and its awareness in people with dementia (PwD; n = 104), mild cognitive impairment (PwMCI; n = 45) and controls (healthy older adults; n = 94) in a sample from a middle-income country.MethodsDementia and MCI were diagnosed, respectively, with DSM-IV and Petersen criteria. Performance in activities of daily living (ADL) at three different levels [basic (The Katz Index of Independence), instrumental (Lawton instrumental ADL scale) and advanced (Reuben’s advanced ADL scale)], measured through self- and informant-report, as well as awareness (discrepancy between self- and informant-report), were compared between groups. Stepwise regression models explored predictors of ADL and their awareness.ResultsPwD showed impairment in all ADL levels, particularly when measured through informant-report. No differences were seen between controls and PwMCI regardless of measurement type. PwD differed in awareness of instrumental and basic, but not of advanced ADL, compared to controls. Age, gender, education and fluency were the most consistent predictors for ADL. Diagnosis was a significant predictor only for instrumental ADL. Awareness of basic ADL was predicted by memory, and awareness of instrumental ADL was predicted by general cognitive status, educational level, and diagnosis.ConclusionResults reinforce the presence of lack of awareness of ADL in PwD. Use of informant-reports and cognitive testing for fluency are suggested for the clinical assessment of ADL performance. Finally, assessment of instrumental ADL may be crucial for diagnostic purposes.