Discriminant power of socio-demographic characteristics and mood in distinguishing cognitive performance clusters in older individuals: a cross-sectional analysis.

OBJECTIVES: Identification of predictors of cognitive trajectories has been a matter of concern on aging research. For this reason, it is of relevance to infer cognitive profiles based on rapid screening variables in order to determine which individuals will be more predisposed to cognitive decline. METHOD: In this work, a linear discriminant analysis (LDA) was conducted with socio-demographic variables and mood status as predictors of cognitive profiles, computed in a previous sample, based on different cognitive dimensions. Data were randomly split in two samples. Both samples were representative of the Portuguese population in terms of gender, age and education. The LDA was performed with one sample (n = 506, mean age 65.7 ± 8.98 years) and tested in the second sample (n = 548, mean age 68.5 ± 9.3 years). RESULTS: With these variables, we were able to achieve an overall hit rate of 65.9%, which corresponds to a significant increment in comparison to classification by chance. CONCLUSION: Although not ideal, this model may serve as a relevant tool to identify cognitive profiles based on a rapid screening when few variables are available.

Psychometric properties of the positive mental health questionnaire: short form (PMHQ-SF18) in young adults.

Introduction: Positive Mental Health (PMH) plays a pivotal role in the promoting of mental health. Assessing this phenomenon is essential for early recognition and intervention in mental health. To date, only one tool was validated with 39 items to assess PMH among Portuguese young adults. Method: This study sought to examine the psychometric properties of the short version of the Positive Mental Health Questionnaire (PMHQ) among Portuguese university students. The PMHQ Short Form was administered to a sample of 3,647 university students via an online platform. Exploratory and confirmatory factor analyses were performed. The principal factor solution was employed because some items showed higher levels of kurtosis. Multivariate analysis was tested using the Mardia's Test, Henze-Zirkler, and Royston. Findings of content, construct validity tests, and Cronbach's alfa demonstrated the satisfactory validity and suitable reliability of the PMHQ-Short Form (PMHQ-SF). Results and discussion: The exploratory factor analysis produced six dimensions of the PMHQ-SF with three items in each factor demonstrating adequate internal reliability. The global internal consistency was 0.92, with factors ranging between 0.60 to 0.82. The results suggest that the PMHQ-SF is reliable, easier, and more practical to complete by university students due to the shortening of the number of items. The PMHQ-SF is useful for assessing positive mental health in young adults. The final version of the instrument contains from 32 to 18 items.

The relation between lifestyles and positive mental health in Portuguese higher education students.

Healthy lifestyles are commonly associated with improved physical and mental health. Sleep patterns, nutrition, physical exercise, consumption of psychoactive substances, among others, can strongly influence positive mental health. The aims are: characterize lifestyles based on positive mental health clusters, considering the cross-sectional cohort sample of higher education students, and analyse the lifestyles associated with positive mental health. A cross-sectional, descriptive, correlational and multicentric study of quantitative approach was conducted. The Positive Mental Health Questionnaire was applied. Through the k-means method, four clusters were obtained based on positive mental health levels. The sample of 3647 higher education students was mostly female (78.8%), single (89.5%), with an average age of 23 years (SD = 6.68). Differences were found between clusters based on the sociodemographic characteristics and lifestyles. Findings in Cluster 1 were highlighted because they included students with a higher level of positive mental health, which was associated with greater satisfaction in affective relationships, higher recreational and sports activities, better sleep quality, a healthy diet, and lower medication and illicit drugs consumption. These key findings emphasize the promotion of healthy lifestyles and highlight the importance of positive mental health in promoting the health of higher education students.

Prediction and cost-effectiveness comparison of amblyopia screening methods at ages 3-4 years.

PURPOSE: Compare the performance of different amblyopia screening tests. METHODS: Based on exploratory factor analyses (EFA) of different screening tests performed in 3295 children, we created models of screening strategies in a matrix with: uncorrected visual acuity (UCVA), Plusoptix measurements (PO), Randot Stereo-test (SR), and Cover-Test (CT). Receiver Operating Characteristic (ROC) curves and confusion matrix were used to compare performance of different model's algorithm to predict new diagnosis of amblyopia. Estimated screening costs per screened and treated child were compared. RESULTS: Regression analyses revealed that, although all models predicted amblyopia (all p < 0.001), only models including PO or UCVA had higher prediction capacity (R2 > 0.4) and better discriminating ROC curves (AUC > 0.95; p < 0.001). For 96% sensitivity, UCVA + PO was the most cost-effective model, since the estimated average screening costs per treated child, almost doubled and tripled if using PO or UCVA alone, respectively, versus using both exams. When UCVA + PO is not possible to implement, adding SR to either UCVA or PO resulted in cost-savings of 28% and 18%, respectively. CONCLUSIONS: In a previous unscreened population, aged 3-4 years, screening programs using either UCVA or PO alone, should reconsider doing both tests simultaneously, since, for a high level of sensitivity, using simultaneously UCVA + PO is more cost-effective, per screened, and treated amblyopia. Concerns relating higher time-consuming exams for the combination of UCVA + PO should be surpassed, since costs per treated child drop considerably. When children benefit from good primary-care routine examinations since birth, no benefit was found for using CT in a screening setting. SR showed little benefit.

European Portuguese Version of the User Satisfaction Evaluation Questionnaire (USEQ): Transcultural Adaptation and Validation Study.

BACKGROUND: Wearable activity trackers have the potential to encourage users to adopt healthier lifestyles by tracking daily health information. However, usability is a critical factor in technology adoption. Older adults may be more resistant to accepting novel technologies. Understanding the difficulties that older adults face when using activity trackers may be useful for implementing strategies to promote their use. OBJECTIVE: The purpose of this study was to conduct a transcultural adaptation of the User Satisfaction Evaluation Questionnaire (USEQ) into European Portuguese and validate the adapted questionnaire. Additionally, we aimed to provide information about older adults' satisfaction regarding the use of an activity tracker (Xiaomi Mi Band 2). METHODS: The USEQ was translated following internationally accepted guidelines. The psychometric evaluation of the final version of the translated USEQ was assessed based on structural validity using exploratory and confirmatory factor analyses. Construct validity was examined using divergent and discriminant validity analysis, and internal consistency was evaluated using Cronbach α and McDonald ω coefficients. RESULTS: A total of 110 older adults completed the questionnaire. Confirmatory factor analysis supported the conceptual unidimensionality of the USEQ (χ24=7.313, P=.12, comparative fit index=0.973, Tucker-Lewis index=0.931, goodness of fit index=0.977, root mean square error of approximation=0.087, standardized root mean square residual=0.038). The internal consistency showed acceptable reliability (Cronbach α=.677, McDonald ω=0.722). Overall, 90% of the participants reported excellent satisfaction with the Xiaomi Mi Band 2. CONCLUSIONS: The findings support the use of this translated USEQ as a valid and reliable tool for measuring user satisfaction with wearable activity trackers in older adults, with psychometric properties consistent with the original version.

Amblyopia screening effectiveness at 3-4 years old: a cohort study.

OBJECTIVE: To study the effectiveness of amblyopia screening at ages 3-4. METHODS AND ANALYSIS: From a population with no previous screening, a cohort of 2300 children with 3-4 years old attending school (91% of children this age attend school in Portugal), were submitted to a complete ophthalmological evaluation. Amblyopia was diagnosed, treated and followed. Amblyopia prevalence, treatment effectiveness, absolute risk reduction (ARR), number needed to screen (NNS) and relative risk reduction (RRR) were estimated. RESULTS: Past/present history of amblyopia was higher than 3.1%-4.2%, depending on amblyopia definition normatives. Screening at age 3-4, had estimated ARR=2.09% (95% CI 1.50% to 2.68%) with a reduced risk of amblyopia in adulthood of 87% (RRR). NNS was 47.8 (95% CI 37.3 to 66.7). Treatment effectiveness of new diagnosis was 88% (83% if we include children already followed). 91% of new amblyopia diagnoses were refractive (of which 100% surpassed amblyopia Multi-Ethnic Pediatric Eye Disease Study criteria after treatment), while most strabismic amblyopias were already treated or undertreatment. Only 30% of children with refractive amblyopia risk factors that were not followed by an ophthalmologist, ended up having amblyopia at age 3-4. Eye patch was needed equally in new-diagnosis versus treated-earlier refractive amblyopia. CONCLUSIONS: Screening amblyopia in a whole-population setting at age 3-4 is highly effective. For each 48 children screened at age 3-4, one amblyopia is estimated to be prevented in the future (NNS). Screening earlier may lead to overdiagnosis and overtreatments: Treating all new diagnosis before age 3-4 would have a maximal difference in ARR of 0.3%, with the possible burden of as much as 70% children being unnecessary treated before age 3-4.Involving primary care, with policies for timely referral of suspicious/high-risk preverbal children, plus whole screening at age 3-4 seems a rational/effective way of controlling amblyopia.

A new scale informed by the Reciprocal-Engagement Model for quality evaluation of genetic counselling by patients: Development and initial validation.

Monitoring the quality of genetic counselling is essential to ensure appropriate provision. This study describes the development and initial psychometric validation of a novel scale for genetic counselling quality evaluation by patients. A deductive approach was taken to formulate scale items. Exploratory factor analysis with the principal axis factoring method was used to assess the scale's factor structure (n = 118). Internal consistency (Cronbach's Alpha) was also examined. Exploratory factor analysis resulted in a single overarching construct consisting of seven factors, which account for 59% of the variance explained. Items showed, in general, strong factor loadings (>0.5). Some items focused on patient satisfaction with services provision did not load onto the factors. Thus, another factor analysis was performed with these items, which resulted in one-factor. The identified factor accounted for 57% of variance explained, and communalities were strong (≥0.5) for most items. Cronbach's alpha score for the scale was 0.85, indicating high internal consistency. Factors were significantly and moderately interrelated (from r = 0.31 to r = 0.71). Further studies are needed to establish the psychometric validity of the scale.

25-OH Vitamin D Levels and Cognitive Performance: Longitudinal Assessment in a Healthy Aging Cohort.

Background: Declining serum levels of 25-hydroxyvitamin D [25(OH)D, a biomarker of vitamin D status] with aging is a well-recognized phenomenon. However, scarce information is available on the relation between 25(OH)D levels and cognitive performance over time in older individuals. Our purpose was to evaluate, longitudinally, the association of 25(OH)D with cognitive function in a healthy older adults' cohort. Methods: Sixty-four individuals over 55 years-old with no cognitive impairment, clustered as healthy "Poor" and "Good" cognitive performers, were followed for an average of 18 months. Seasonal-adjusted 25(OH)D serum levels (measured by high-performance liquid chromatography-tandem mass spectrometry) were related, longitudinally, with cognitive (memory and general/executive) composite scores. Results: Overall seasonal-adjusted median serum 25(OH)D level was of 47 nmol/l [interquartile range (IQR), 38-60 nmol/l]. A negative correlation between baseline 25(OH)D and the general/executive composite score was found in the "Poor" cognitive performers (r s = -0.52, p = 0.006), an association lost after adjusting 25(OH)D levels for the season. No effect was found in both groups between seasonal-adjusted 25(OH)D levels and the variation of both memory and general/executive composites during follow-up when adjusted for age, gender and education level. Conclusion: In this healthy older population with no cognitive impairment, lower serum levels of 25(OH)D were not longitudinally associated with poorer cognitive scores.

Placebo prescription and empathy of the physician: A cross-sectional study.

BACKGROUND: Empathy in the patient-physician relationship is a major component in an effective placebo treatment, as in every medical treatment. Understanding the role of empathy of the physician in the placebo effect may help dissect some of the context variables responsible for the effectiveness of the placebo. OBJECTIVES: To determine the frequency of placebo prescription, doctors' beliefs, motivation, and attitudes to placebos in general practice in northern Portugal and to test the association between placebo prescription and physician empathy. METHODS: A cross-sectional study was conducted between November 2014 and January 2015 among general practice specialists and interns from 14 health centres in a northern Portuguese health region. The self-report questionnaire included the Portuguese version of the Jefferson scale of physician empathy (JSPE) and a questionnaire about placebo prescription. Associations between demographic variables, JSPE score, prescription of placebo, and the attitudes to placebo score were tested with the chi-squared statistic, student t-tests for independent samples, and Pearson correlation. RESULTS: The study included 93 general practitioners (GP) (response rate: 74%). Placebos were prescribed by 73% (n = 68) of the respondents. GPs who prescribe placebo are significantly younger (mean age = 38.4 years; SD = 11.1; t (90) = 2.98, P <.05, d = 0.67) than non-prescribers (mean age =46.5 years; SD =13.3). Favourable attitudes towards placebo prescription are associated with higher empathy scores (R = 0.310, P <.01). CONCLUSION: Placebo prescription is frequent and associated with empathy from the prescriber, especially among younger GPs.

The Use of Canonical Correlation Analysis to Assess the Relationship Between Executive Functioning and Verbal Memory in Older Adults.

Executive functioning (EF), which is considered to govern complex cognition, and verbal memory (VM) are constructs assumed to be related. However, it is not known the magnitude of the association between EF and VM, and how sociodemographic and psychological factors may affect this relationship, including in normal aging. In this study, we assessed different EF and VM parameters, via a battery of neurocognitive/psychological tests, and performed a Canonical Correlation Analysis (CCA) to explore the connection between these constructs, in a sample of middle-aged and older healthy individuals without cognitive impairment (N = 563, 50+ years of age). The analysis revealed a positive and moderate association between EF and VM independently of gender, age, education, global cognitive performance level, and mood. These results confirm that EF presents a significant association with VM performance.

Exploring the factor structure of neurocognitive measures in older individuals.

Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.

The role of sex and sex-related hormones in cognition, mood and well-being in older men and women.

Alterations in hormone levels during aging impact on cognition and mood. Serum concentration levels of testosterone (TT), estradiol (E2), follicle-stimulating hormone (FSH), luteinizing hormone (LH), dehydroepiandrosterone sulfate (DHEAS) and prolactin (PRL) were assessed in 120 community-dwellers (51+ years of age, males and females), in a cross-sectional approach. Performance clusters based on executive functioning (GENEXEC), memory (MEM), mood and well-being were obtained. In males, higher PRL levels associated with worse cognitive performance, lower well-being, and higher scores in depression scales, and lower E2 with poorer cognition and higher depressive mood. DHEAS positively associated with GENEXEC and MEM. Nutritional status significantly associated with PRL (positively) and with DHEAS (negatively). Findings indicate that besides the more exhaustively studied E2 and TT, variations in the levels of sex-related hormones such as PRL, FSH, LH and DHEAS are of interest for the mental health aging profile particularly in men.

The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing.

The main focus of this study was to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing underlying structures in large datasets used to investigate cognitive ageing. Principal component analysis (PCA) was used to obtain main cognitive dimensions, and MCA was used to detect and explore relationships between cognitive, clinical, physical, and lifestyle variables. Two PCA dimensions were identified (general cognition/executive function and memory), and two MCA dimensions were retained. Poorer cognitive performance was associated with older age, less school years, unhealthier lifestyle indicators, and presence of pathology. The first MCA dimension indicated the clustering of general/executive function and lifestyle indicators and education, while the second association was between memory and clinical parameters and age. The clustering analysis with object scores method was used to identify groups sharing similar characteristics. The weaker cognitive clusters in terms of memory and executive function comprised individuals with characteristics contributing to a higher MCA dimensional mean score (age, less education, and presence of indicators of unhealthier lifestyle habits and/or clinical pathologies). MCA provided a powerful tool to explore complex ageing data, covering multiple and diverse variables, showing if a relationship exists and how variables are related, and offering statistical results that can be seen both analytically and visually.

The use of bayesian latent class cluster models to classify patterns of cognitive performance in healthy ageing.

The main focus of this study is to illustrate the applicability of latent class analysis in the assessment of cognitive performance profiles during ageing. Principal component analysis (PCA) was used to detect main cognitive dimensions (based on the neurocognitive test variables) and Bayesian latent class analysis (LCA) models (without constraints) were used to explore patterns of cognitive performance among community-dwelling older individuals. Gender, age and number of school years were explored as variables. Three cognitive dimensions were identified: general cognition (MMSE), memory (MEM) and executive (EXEC) function. Based on these, three latent classes of cognitive performance profiles (LC1 to LC3) were identified among the older adults. These classes corresponded to stronger to weaker performance patterns (LC1>LC2>LC3) across all dimensions; each latent class denoted the same hierarchy in the proportion of males, age and number of school years. Bayesian LCA provided a powerful tool to explore cognitive typologies among healthy cognitive agers.

Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis.

Identification of predictors of cognitive trajectories through the establishment of composite or single-parameter dimensional categories of cognition and mood may facilitate development of strategies to improve quality of life in the elderly. Participants (n = 487, aged 50+ years) were representative of the Portuguese population in terms of age, gender, and educational status. Cognitive and mood profiles were established using a battery of neurocognitive and psychological tests. Data were subjected to principal component analysis to identify core dimensions of cognition and mood, encompassing multiple test variables. Dimensions were correlated with age and with respect to gender, education, and occupational status. Cluster analysis was applied to isolate distinct patterns of cognitive performance and binary logistic regression models to explore interrelationships between aging, cognition, mood, and socio-demographic characteristics. Four main dimensions were identified: memory, executive function, global cognitive status, and mood. Based on these, strong and weak cognitive performers were distinguishable. Cluster analysis revealed further distinction within these two main categories into very good, good, poor, and very poor performers. Mood was the principal factor contributing to the separation between very good and good, as well as poor and very poor, performers. Clustering was also influenced by gender and education, albeit to a lesser extent; notably, however, female gender × lower educational background predicted significantly poorer cognitive performance with increasing age. Mood has a significant impact on the rate of cognitive decline in the elderly. Gender and educational level are early determinants of cognitive performance in later life.

Patterns of cognitive performance in healthy ageing in Northern Portugal: a cross-sectional analysis.

BACKGROUND: The Minho Integrative Neuroscience Database (MIND)-Ageing project aims to identify predictors of healthy cognitive ageing, including socio-demographic factors. In this exploratory analysis we sought to establish baseline cohorts for longitudinal assessment of age-related changes in cognition. METHODS: The population sample (472 individuals) was strictly a convenient one, but similar to the Portuguese population in the age profile. Participants older than 55 years of age were included if they did not present defined disabling pathologies or dementia. A standardized clinical interview was conducted to assess medical history and a battery of neuropsychological tests was administered to characterize global cognition (Mini Mental State Examination), memory and executive functions (Selective Reminding Test; Stroop Color and Word Test; and Block Design subtest of the Wechsler Adult Intelligence Scale). Cross-sectional analysis of the neuropsychological performance with individual characteristics such as age, gender, educational level and setting (retirement home, senior university, day care center or community), allowed the establishment of baseline clusters for subsequent longitudinal studies. RESULTS: Based on different socio-demographic characteristics, four main clusters that group distinctive patterns of cognitive performance were identified. The type of institution where the elders were sampled from, together with the level of formal education, were the major hierarchal factors for individual distribution in the four clusters. Of notice, education seems to delay the cognitive decline that is associated with age in all clusters. CONCLUSIONS: Social-inclusion/engagement and education seem to have a protective effect on mental ageing, although this effect may not be effective in the eldest elders.