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Socio-relational aspects are essential for mental wellbeing (MWB), especially in the oldest old age. Our study aims to explore the socio-relational aspects related to MWB in accordance with the experiences of the oldest old of four European countries; and to examine how these differ between Mediterranean and Nordic people. A total of 117 participants aged 80+ years old were recruited, and 23 focus groups were performed. Qualitative content analysis identified five main themes. Family seemed to be the most important driver of the MWB of the oldest old, followed by relationships with close friends. Participants felt better when they had a sense of being needed, cared for, and connected. Loneliness and isolation negatively affected MWB, although solitude was appreciated. Differences appeared between Mediterranean and Nordic regions. Initiatives to promote positive interactions with family and friends, as well as social activities within the community, may contribute to strengthening MWB in the oldest old. [ABSTRACT FROM AUTHOR]

Subjective well-being plays a key role in health. The objectives of this study are to analyse the longitudinal associations between subjective well-being dimensions and healthy behaviours, and to examine gender differences. A representative sample of 1,190 Spanish non-institutionalised adults aged 50+ were interviewed over a 6-year follow-up period. The Cantril scale was used to measure evaluative well-being. The Day Reconstruction Method measured experienced well-being. The Global Physical Activity Questionnaire was used, whereas fruit and vegetables, tobacco and alcohol consumption, and sleep quality were self-reported. The Generalised Estimating Equation was calculated. Women show significantly worse subjective well-being than men longitudinally. Higher scores in life satisfaction and positive affect were significantly related to a higher level of physical activity and better-quality sleep for both women and men. Associations between a higher life satisfaction and an adequate intake of fruits and vegetables and being a non-smoker was only found in women (OR = 1.05; 95% IC = 1.00, 1.10 and OR = 1.16; 95% IC = 1.09, 1.23, respectively). Subjective well-being levels and frequencies in healthy behaviours are different in women and men. Subjective well-being interventions should take into account these differences in the frequency of healthy-unhealthy behaviours. [ABSTRACT FROM AUTHOR]

The aim of this study is to identify and appraise existing instruments to evaluate mental well-being in old age. Systematic literature searches in PubMed, PsycINFO, ProQuest Research Library, AgeLine and CINAHL databases were performed. The COnsensus‐based Standards for the selection of health Measurement INstruments (COSMIN) guideline was used to assess the measurement properties, reported according to the Preferred Reporting Items for Systematic Reviews and meta-Analysis (PRISMA) statement. For each measurement property, results were classified as positive, negative or indeterminate. The quality level of evidence was rated as high, moderate, low or very low following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. A total of 28 instruments were found. Most instruments evaluated different dimensions of mental well-being, including various subscales. The quality was adequate overall. Six instruments showed high quality (Perceived Well-Being Scale-PWB, Salamon-Conte Life Satisfaction in the Elderly Scale-SCLSES, Herth Hope Scale-HHS, Life Satisfaction Index Third Age-LSITA, Meaning in Life Scale-MLS, and SODdisfazione dell'Anziano-SODA), and other six a moderate level (Scale of Happiness of the Memorial University of Newfoundland-MUNSH, Six Scales of Psychological Well-Being-PWBS, Valuation Of Life-VOL, Life Satisfaction Scale for Chinese Elders-LSS-C, Meaningful Activity Participation Assessment-MAPA and Will To Life-WTL). This review provides the first comprehensive synthesis of instruments assessing mental well-being in older populations. The PWB, SCLSES, HHS, LSITA, MLS and SODA were the most appropriated instruments. An instrument that specifically measures mental well-being in the oldest old age group (aged 80 plus) and that considers its multidimensional nature is needed. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to examine how participants aged 80 years old or over describe their mental well-being—exploring the suitability of the model of healthy ageing when outlining the mental well-being concept. Methods: Six structured focus group interviews with 28 participants were conducted in Western Finland in 2017. Qualitative content analysis was performed, where both manifest and latent content was considered in a process involving meaning condensation and coding, followed by categorization. Results: The healthy ageing model constituted a useful framework for the conceptualization of mental well-being, illustrating the links between these two constructs. The analysis resulted in a four-dimensional model of mental well-being in oldest old age, the key components being: Activities—enjoyment and fulfilment; Capability—functioning and independence; Orientation—awareness, shifted perspectives and values; and Connectedness—sense of belonging. Conclusions: Although functional status plays an important role for well-being in general, it is not the principal component of self-reported mental well-being within the heterogeneous group of the oldest old. Further, many persons in this age group do not view themselves as passive or dependent, on the contrary, they underline the importance of empowering attitudes, a positive mindset and actively creating circumstances which support their mental well-being. [ABSTRACT FROM AUTHOR]

Ageing well involves individuals continuing participating in personal, social and civic affairs even in older age. From this standpoint, limitations in individual's functioning (beyond the mere absence of disease) may drastically impact on how well people becoming older. This study aimed to identify functional status profiles in a nationally representative sample of older adults, using latent class analysis methods. Moreover, it intended to study the how identified classes would be related to health‐related outcomes later in life, as a way to provide some evidence on predictive validity. Data from a nationally representative sample of Spanish older adults (N = 2,118; 56.18% women; M = 71.50 years, SD = 7.76), were used. Profiles were identified according to a large set of functioning indicators from multiple domains using latent class analysis. Outcomes were studied over a 3‐year follow‐up, considering both the individual (quality of life, well‐being and mortality) and institutional level (health service utilisation). As a result, seven profiles were identified: normative profile (showed by most participants), limited cognitive functioning class, limited global functioning class, limited mental and mobility functioning class, poor self‐reported health class, limited sensory functioning class and limited objective functioning class. All the profiles with limitations across domains showed poor outcomes. Multidimensional limitations were related to the worst outcomes, especially when psychosomatic complaints and high feelings of loneliness were reported. To sum up, latent class analysis constitutes a suitable alternative to study population heterogeneity, providing relevant evidence to help making decision in public and community health. [ABSTRACT FROM AUTHOR]

Objective:Successful aging (SA) refers to maintaining well-being in old age. Several definitions or models of SA exist (biomedical, psychosocial, and mixed). We examined the longitudinal association between various SA models and sociodemographic factors, and analyzed the patterns of change within these models. Method: This was a nationally representative follow-up in Spain including 3,625 individuals aged ≥50 years. Some 1,970 individuals were interviewed after 3 years. Linear regression models were used to analyze the survey data. Results: Age, sex, and occupation predicted SA in the biomedical model, while marital status, educational level, and urbanicity predicted SA in the psychosocial model. The remaining models included different sets of these predictors as significant. In the psychosocial model, individuals tended to improve over time but this was not the case in the biomedical model. Conclusion: The biomedical and psychosocial components of SA need to be addressed specifically to achieve the best aging trajectories. [ABSTRACT FROM AUTHOR]

Objectives To assess the association between cognitive reserve (CR) and quality of life (QoL), as well as the role of depression, cognitive functioning, and disability in this association. Methods Nationally-representative cross-sectional population-based data on 1973 individuals aged ≥ 50 years from the Spanish sample of the Collaborative Research on Ageing in Europe (COURAGE) study were analysed. CR was a composite score ranging from 0 to 25 obtained from the Cognitive Reserve Questionnaire, which is composed of items on training courses, occupation, musical training, languages, reading activities, intellectual games, and level of education of the participants and their parents. QoL, ranging from 0 to 100, was assessed with the WHOQOL-AGE. Multiple linear regression and mediation analyses were performed. Results Higher levels of CR were associated with higher QoL, after controlling for potential confounders (Coef. 0.53; 95% CI = 0.36, 0.70). The strongest mediator in this association was disability, which explained about half of the association, while depression and cognition explained 6–10% of this association. Discussion CR is associated with higher QoL in older adults. Interventions targeting determinants of CR that can be modified or trained across the lifespan may lead to successful ageing by prolonging autonomous functioning and enhancing QoL. [ABSTRACT FROM AUTHOR]