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The identification of protection factors regarding older adults’ mental health is essential. Self-compassion, the capacity to be kind towards the self during challenging times, may be one such factor. Although still scarce, some research in this field has already been conducted with older adults. Our research question was the following: what is currently known about the role of self-compassion in the psychological (mal)adjustment of older adults?
Objectives:
To review any study designs, in any setting, where self-compassion and any indicators of psychological (mal)adjustment were assessed in participants aged ≥60 years.
Design:
A scoping review of English, Portuguese, and Spanish published and unpublished materials, using the EBSCOhost Research and PubMed databases and reference lists. Search terms included self-compassion, self compassion, older adults, elderly, seniors, and geriatrics. After screening and selection of the studies, we charted the relevant data.
Results:
Eleven published studies (2012–2018) were reviewed. Self-compassion was associated with, and a predictor of, diverse mental health indicators in older adults. Self-compassion was also associated with indicators of physical health, moderated the relationship between physical health indicators and mental health indicators, and mediated the relationship between diverse mental health indicators. Results were obtained with participants of different nationalities and age. All studies had a cross-sectional design, and most studies recruited well-functioning community residents.
Conclusions:
Self-compassion is beneficial for the psychological adjustment of older adults and may also benefit their biological functioning. Self-compassion seems particularly relevant for those experiencing more negative life events. Studies with more robust methodologies are needed in order to replicate these findings.
To identify cognitive phenotypes in late-life depression (LLD) and describe relationships with sociodemographic and clinical characteristics.
Design:
Observational cohort study
Setting:
Baseline data from participants recruited via clinical referrals and community advertisements who enrolled in two separate studies.
Participants:
Non-demented adults with LLD (n = 120; mean age = 66.73 ± 5.35 years) and non-depressed elders (n = 56; mean age = 67.95 ± 6.34 years).
Measurements:
All completed a neuropsychological battery, and individual cognitive test scores were standardized across the entire sample without correcting for demographics. Five empirically derived cognitive domain composites were created, and cluster analytic approaches (hierarchical, k-means) were independently conducted to classify cognitive patterns in the depressed cohort only. Baseline sociodemographic and clinical characteristics were then compared across groups.
Results:
A three-cluster solution best reflected the data, including “High Normal” (n = 47), “Reduced Normal” (n = 35), and “Low Executive Function” (n = 37) groups. The “High Normal” group was younger, more educated, predominantly Caucasian, and had fewer vascular risk factors and higher Mini-Mental Status Examination compared to “Low Executive Function” group. No differences were observed on other sociodemographic or clinical characteristics. Exploration of the “High Normal” group found two subgroups that only differed in attention/working memory performance and length of the current depressive episode.
Conclusions:
Three cognitive phenotypes in LLD were identified that slightly differed in sociodemographic and disease-specific variables, but not in the quality of specific symptoms reported. Future work on these cognitive phenotypes will examine relationships to treatment response, vulnerability to cognitive decline, and neuroimaging markers to help disentangle the heterogeneity seen in this patient population
The literature has demonstrated how the relationship between cognitive or emotional intelligence and age exhibits an inverted-U-shape and that this decline can be mitigated by an individual’s cognitive reserve (CR). Rather less is known, however, about the pattern of changes in cognitive empathy or the ability to recognize the thoughts or feelings of others.
Objectives:
The aim of the present study was firstly to analyze the effect of age, gender, and CR (measured through educational level), on the capacity to show cognitive empathy. Secondly, we aimed to evaluate what type of relationship—linear or quadratic—exists between age and cognitive empathy. We finally aimed to analyze the moderator role of educational level on the relationship between age and cognitive empathy.
Participants:
Totally, 902 Spanish adults aged between 18 and 79 years (M = 43.53, SD = 11.86; 57% women).
Measurements:
Participants were asked to indicate their educational level (primary, high school, or college education) and their cognitive empathy was assessed using the Eyes test.
Results:
Women scored higher than men on cognitive empathy. Participants with a college education had higher scores on cognitive empathy than those with a lower educational level. Additionally, the relationship between age and cognitive empathy fit an inverted-U-shaped curve, consistent with the data found for cognitive and emotional intelligence. Finally, the age-related decrease in cognitive empathy appeared to be mitigated by a higher educational level, but only in those individuals aged 35 years and above. Limitations and clinical implications are discussed.