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Some studies have shown that older people experience less experiential avoidance and more gratitude when they were compared with younger people (López, 2020). These variables might be important to improve the mental health of older people, especially in crisis situations.
Objective:
Investigate the relationship between experiential avoidance (EA), gratitude and distress in old people post crisis COVID-19.
Methods:
A cross-sectional study was carried out. Data from 361 people older than 60 years. The mean age was 68,44 (SD= 5.31), 62.9% were woman. The sample included in the cross-sectional analysis consisted of who provided data on the Acceptance and Action Questionnaire - II (AAQ–II; Bond et al., 2011), Gratitude subscale of the Values in Action Inventory of Strengths-Short Form (Littman-Ovadia, 2015) and Hospital Anxiety and Depression Scale (Zigmond & Snaith, 1983). Pearson´s correlations were used to explore the relationships among study variables including EA, gratitude, and emotional distress. Lineal regression analyses were used to investigate the incremental explained variance in emotional distress according to the main hypotheses. Standardized regression coefficients β were used to determine the relative contribution of these variables.
Results:
EA and gratitude were negatively correlated (r=-.27; p= <.000). Gratitude and emotional distress were negatively correlated (r=-.30; p= <.000). EA and emotional distress were positive correlated (r=.61; p= <.000). Regression analyses indicated that AAQ-II and gratitude were significant predictors of emotional distress among old people. AAQ-II and gratitude were added. AAQ-II and gratitude were significant predictor of emotional distress R2adj=62.7 % explain the model.
Conclusion:
EA and gratitude are powerful factors to predict emotional distress in a crisis among older people. EA is an important construct in the understanding of emotional distress. This is an initial step to deep in the process of internal experiences and promoting gratitude can be very beneficial to generate programs to promote mental health in old people.
The aim of this study was to comprehend the role of character strengths as protective factors of grandparents ́ psychological well-being. Following the Lazarus and Folkman's stress model, our analyses incorporated three groups of variables (sociodemographic data, stress, and protective factors). Method: A sample of 536 grandparents participated in the study, which an average age of 70.23 (SD = 7.17). We conducted staged stepwise regression analyses to test our hypotheses.
Results:
Our results evidenced that younger grandparents and those providing supplementary care showed higher levels of psychological well-being than non-caregivers. Moreover, the analyses suggested that sociodemographic variables and the caregiving role lost their significance when psychological resources were taken into account. The character strengths of optimism, courage, humor, justice, problem-solving, and emotional intelligence explained the 32.7% of psychological well-being variance.
Conclusions:
Our study stands out the influence of character strengths on the well-being of grandparents who develop a role as supplementary caregivers for their grandchildren. It is essential to carry out psychoeducational programs that enhance the resources that can benefit the psychological well-being of grandparents.
The behavior problems in residents may affect professionals’ performance at work, quality of work life, and even their health. Thus, it is important to have instruments that allow to estimate their prevalence. The objective of this study was to validate the Revised Memory and Behavior Problems Checklist-Nursing Homes (RMBPC-NH; Allen et al., 2003) in a Spanish population. Specifically, it was tested the factor structure of the RMBPC-NH proposed by Wagner et al. (1995). Moreover, the relevance of the different types of problems for the working performance, at the level of individuals and institutions, was explored.
Method
In the present study, a total of 200 professionals participated.
Results
A Confirmatory Factor Analysis was conducted using WLSMV estimator in Mplus 7. Results showed a good fit to the data for the four-factor model (?2(813) = 1733.73, p<.001, CFI = .90, TIL = .90, RMSEA = .08). Thus, it can be concluded that the original factor structure proposed by Wagner et al. (1995) and replicated by Allen et al. (2003) can also be applied to Spanish staff nursing homes. The reliability of the scale was adequate (α from .86 to .93). Moreover, different descriptive and correlational results showed that both the factor scores of the Spanish adaptation of the RMBPC-NH and the importance of each type of problem were associated to different variable related.
Discussion
After analyzing the factor structure, reliability and validity of the adaptation of the RMBPC-NH scale for Spanish staff nursing homes it has found that it has good psychometric properties, so it could be a useful tool for this population.
This work was funded by the Spanish Ministry of Economy and Competitiveness (grant number PSI2016-79803-R).
Most studies about nursing homes staff are based on deficit models and focused on risks factors, however, when appealing to protective factors or individual strengths the publications are scarce. People differ in individual characteristics, abilities or skills which may be protective when managing adversities. Engaging and resolving positively stressors and other adversities gives people a sense of achievement, satisfaction, and helps to their personal growth, being this expressed through a major tolerance, compassion, forgiveness, and hope.
Objective
The aim of this study was to assess whether variables associated to the professionals (resilience, purpose in life, job content, job satisfaction and burnout) had a significant role in the personal growth of nursing homes staff in different job context situations (person-directed care and person-centred care).
Method:
187 professionals working in nursing homes participated in this study.
Results:
The results showed that personal growth was explained by purpose in life, person-centred care, burnout self-realization, personhood, management and resilience, predicting 66% of variance (F= 23,22; p≤.01).
Conclusion:
Individual variables of the staff predict personal growth, especially in person centred care. Personal growth has positive consequences on the caregiver but also on the care receiver. These results are consistent with the Person-Centered Care model that stresses the need of considering the humanistic aspects not only of the care-receiver but also of the caregiver.
This work was funded by the Spanish Ministry of Economy and Competitiveness (grant number PSI2016-79803-R).
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