There is consistent evidence of the impact of depression and health on Quality of Life in older adults. However, the influence of anxiety or psychological wellbeing aspects has been less extensively studied. This study aims to assess the association between quality of life and sociodemographic characteristics (gender, age), levels of health, emotional distress (anxiety and depression) and psychological wellbeing (personal growth and purpose in life). The survey was conducted with 361 older adults (mean age = 68.44 years) This study was of cross-sectional design. We found that the older adults’ quality of life increased when increased the levels of health, personal growth and purpose in life and when there were lower scores in anxiety and depression. This model explained 63.2% of variance. In contrast, sociodemographic characteristics did not show any association with quality of life. A better understanding of the factors associated with quality of life could help health professionals to develop interventions that enhance it. Efforts to address older adults’ quality of life focusing on older adults’ perceived health and emotional status should be considered.

Along with the burden commonly experienced by informal caregivers (ICs) of people with dementia (PwD), associated with the progressive decline that accompanies dementia, the lockdown due to the public health crisis has had a great negative impact on the emotional wellbeing, physical health, and social relationships of ICs. Support interventions through telemedicine represent an opportunity for ICs to learn the skills required for the care and maintenance of social networks. In this work, a narrative review of the effects of e-health training and social support interventions was carried out. A literature search was conducted using the ProQuest, Ovid, and Scopus databases. Information regarding social support (SS), psychological interventions, and training for the management of medications and behavioral changes was extracted. One hundred and nine studies were included in this review. Forums and training platforms were the main tools for ICs. The most effective platforms to improve SS include the participation of both ICs and health professionals. However, no significant improvements in objective caring skills were identified. Platforms developed specifically for ICs should be based in tools that ICs are familiar with, because many ICs have not yet incorporated Information and Communication Technologies in many activities of their daily lives. Education in the digitalization to ICs of PwD should be one of the priority objectives in telehealth interventions.

In this work, we developed normative data for the neuropsychological assessment of independent and cognitively active Spanish older adults over 55 years of age. Method: Regression-based normative data were calculated from a sample of 103 non-depressed independent community-dwelling adults aged 55 or older (67% women). Raw data for Digit Span (DS), Letters and Numbers (LN), the Trail Making Test (TMT), and the Symbol Digit Modalities Test (SDMT) were regressed on age, sex, and education. The model predicting TMT-B scores also included TMT-A scores. Z-scores for the discrepancy between observed and predicted scores were used to identify low scores. The base rate of low scores for SABIEX normative data was compared to the base rate of low scores using published normative data obtained from the general population. Results: The effects of age, sex, and education varied across neuropsychological measures. Although the proportion of low scores was similar between normative datasets, there was no agreement in the identification of cognitively impaired individuals. Conclusions: Normative data obtained from the general population might not be sensitive to identify low scores in cognitively active older adults, incorrectly classifying them as cognitively normal compared to the less-active population. We provide a friendly calculator for use in neuropsychological assessment in cognitively active Spanish people aged 55 or older.

The aim of this work was to develop normative data for neuropsychological tests for the assessment of independent and cognitively active Spanish older adults over 55 years of age. Methods: regression-based normative data were calculated from a sample of 103 nondepressed independent community-dwelling adults aged 55 or older (66% women). The raw data for the Free and Cued Selective Reminding Test (FCSRT), the Rey–Osterrieth Complex Figure Test (ROCF) and the Judgement of Line Orientation Test (JLO) were regressed on age, sex and education. The model predicting the FCSRT delayed-recall (FCSRT-Del) scores also included the FCSRT immediate-recall (FCSRT-Imm) scores. The model predicting the ROCF immediate-recall (ROCF-Imm) scores included the ROCF copy-trial (ROCF-C) scores, and the model predicting the ROCF delayed-recall (ROCF-Del) scores included both the ROCF-C and the ROCF-Imm scores. In order to identify low scores, z-scores were used to determine the discrepancy between the observed and the predicted scores. The base rates of the low scores for both the SABIEX normative data and the published normative data obtained from the general population were compared. Results: the effects of the different sociodemographic variables (age, sex and education) varied throughout the neuropsychological measures. Despite finding similar proportions of low scores between the normative data sets, the agreement was irrelevant or only fair-to-good. Conclusions: the normative data obtained from the general population might not be sensitive enough to identify low scores in cognitively active older adults, incorrectly classifying them as cognitively normal compared to the less active population.

This study aims to analyse the effectiveness of a psychosocial intervention programme in preventing loneliness and increasing self-efficacy and social participation among older women living alone in Spain. A sequential, nested experimental design was used, with a primary quantitative quasi-experimental pre-post study with a control group (CG) and a secondary qualitative study. A total of 48 women participated, and 34 of them (the experimental group, EG) received a 25-hr psychosocial support intervention delivered by volunteers who focused on three aspects: conversation, attribution retraining and behavioural activation. The other women remained on the waiting list (CG = 14). The women (EG and CG) were all interviewed before and after the intervention and a follow-up of the EG was performed at 6 months (N = 25). Semi-structured interviews were used to collect sociodemographic and health-related data, as well as data on satisfaction with the programme and its benefits. Validated instruments were used to collect data on the dependent variables (self-efficacy in ageing, subjective social participation and loneliness). Quantitative and qualitative methods were used for data analysis. Compared to the pre-test results, women in the EG improved their self-efficacy in ageing (t-test: −2.246; p: 0.031; d: 0.30), and, more specifically, their self-efficacy in managing socio-emotional problems such as loneliness (t-test: −1.995; p: 0.054; d: 0.25) and in managing their health (t-test: −2.450; p: 0.020; d: 0.47). No significant differences were observed between the follow-up and the post-test results, meaning that the changes identified after the intervention remained stable. Four additional categories of benefits were identified in the participants' discourses. In conclusion, the intervention appears to be beneficial and effective in improving self-efficacy, which is a well-established predictor of loneliness in old age, in a group of vulnerable individuals. Further studies on this type of community intervention are necessary to prevent loneliness among older people.

An increased cognitive reserve is associated with changes in the pattern of cognitive decline during aging. Thus, normative data adapted to the characteristics of the target population are needed to reduce the possibility of false diagnoses. The aim of this work was to develop normative data for the Phonemic Verbal Fluency test, the Semantic Verbal Fluency test and the Boston Naming Test (BNT). Method: Regression-based normative data were calculated from a sample of 118 non-depressed, cognitively active, independent community-dwelling adults aged 55 or older (64.4% women) from SABIEX (University for Seniors at the Universidad Miguel Hernández de Elche). Raw scores were regressed on age, sex, and education. Results: The effects of age and education varied across neuropsychological measures. No effect of sex was found in any of the tests assessed. Statistically significant differences were found in the proportion of low scores using SABIEX or population-based normative datasets. The level of agreement identifying individuals labeled as showing one or more low scores was only fair-to-good. Conclusions: Normative data obtained from the general population might not be sensitive to identify low scores in cognitively active older adults, increasing the risk of misdiagnoses. A friendly calculator is available for neuropsychological assessment.