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1.
J Adv Nurs ; 75(11): 2786-2796, 2019 Nov.
Article En | MEDLINE | ID: mdl-31287174

AIMS: To determine the explanatory power of alexithymia and emotional intelligence over burnout and to examine their combined explanatory capacity over burnout in the context of older adult care. DESIGN: Cross-sectional. All participants voluntarily and anonymously completed a questionnaire survey. They were all blind to the aim of the study. METHODS: One hundred and fifty-nine nursing assistants recruited during 2014 took part in the study. They belong to 10 nursing homes in the north of Spain. Sociodemographic and work-related information was collected, and measures of burnout, alexithymia and emotional intelligence were administered. Data were examined by means of regression analyses. RESULTS: The analysis showed that alexithymia made a moderate contribution to the depersonalization and personal accomplishment dimensions of burnout, controlling for the influence of work characteristics. Emotional intelligence did not have incremental validity over alexithymia in explaining burnout. CONCLUSION: Alexithymia, rather than emotional intelligence, is a stronger explanatory variable for burnout among nursing assistants working in nursing homes. IMPACT: Alexithymia and emotional intelligence are related to burnout and help to explain why, in the same context, each worker is affected differently by chronic stress at work. However, their combined explanatory capacity in nursing assistants working with older people remains underexplored. In our sample, alexithymia explains burnout better than emotional intelligence, a finding that was both unexpected and theoretically relevant. Researchers should take this into account when studying personal resources to prevent and manage burnout among nursing assistants, as alexithymia, rather that emotional intelligence, could play an important role once workers are burned out. Training nursing assistants to identify and describe emotions should be considered as part of their training programmes and/or in nursing homes as an institutional strategy to prevent burnout and to improve the quality of older adult care.


Adaptation, Psychological , Affective Symptoms/psychology , Burnout, Professional/psychology , Emotional Intelligence , Nursing Assistants/psychology , Stress, Psychological , Adult , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Nursing Assistants/statistics & numerical data , Nursing Homes/statistics & numerical data , Spain , Surveys and Questionnaires
2.
Qual Life Res ; 28(8): 2221-2231, 2019 Aug.
Article En | MEDLINE | ID: mdl-31065936

PURPOSE: The aims of this study were: (1) to analyze age differences in health-related quality of life (HRQoL) between the young old (aged 65-84) and the oldest old (aged 85 and over), and (2) to investigate three types of predictors: (a) physical health [Basic Activities of Daily Living (BADL), Instrumental Activities of Daily Living, comorbidity, use of medication], (b) global cognitive ability and (c) psychosocial factors, specifically personality traits, social support and emotional functioning (positive and negative affect and life satisfaction), which may influence the HRQoL of both the young old and the oldest old. METHOD: A cross-sectional study was conducted with 257 healthy community-dwelling elderly people. HRQoL was assessed using the SF-36 Health Survey. Functional and health status, global cognitive ability and psychosocial variables were also assessed. RESULTS: Age differences were found in HRQoL, with the oldest old scoring lower for this variable. Multiple stepwise hierarchical linear regression analyses revealed that, in relation to the physical health component, use of medication, BADL and positive affect had the greatest influence among the young old (65-84), whereas among the oldest old, neuroticism and the BADL were the most influential factors. As regards the mental health component, neuroticism, use of medication and positive affect were the main predictor variables among the young old, while neuroticism and negative affect had the greatest influence among the oldest old group. CONCLUSION: The oldest old had a poorer HRQoL in both dimensions measured (physical and mental). There appear to be differences between the determinants of HRQoL for young old and oldest old adults, suggesting that these associations change with age.


Activities of Daily Living/psychology , Cognition/physiology , Health Status , Mental Health , Neuroticism/physiology , Quality of Life/psychology , Age Factors , Aged , Aged, 80 and over , Comorbidity , Cross-Sectional Studies , Female , Health Surveys , Humans , Independent Living , Male , Middle Aged , Physical Examination , Social Support , Surveys and Questionnaires
3.
Int J Geriatr Psychiatry ; 23(1): 85-94, 2008 Jan.
Article En | MEDLINE | ID: mdl-17530622

BACKGROUND: Research on non-pharmacological therapies (cognitive rehabilitation) in old age has been very limited, and most has not considered the effect of interventions of this type over extended periods of time. OBJECTIVE: To investigate a new cognitive therapy in a randomized study with elderly people who did not suffer cognitive impairment. METHODS: The efficacy of this therapy was evaluated by means of post-hoc analysis of 238 people using biomedical, cognitive, behavioural, quality of life (QoL), subjective memory, and affective assessments. RESULTS: Scores for learning potential and different types of memory (working memory, immediate memory, logic memory) for the treatment group improved significantly relative to the untreated controls. CONCLUSIONS: The most significant finding in this study was that learning potential continued at enhanced levels in trained subjects over an intervention period lasting two years, thereby increasing rehabilitation potential and contributing to successful ageing.


Aging/psychology , Cognition Disorders/prevention & control , Cognitive Behavioral Therapy/methods , Aged , Aged, 80 and over , Double-Blind Method , Female , Humans , Learning , Longitudinal Studies , Male , Memory , Memory Disorders/prevention & control , Neuropsychological Tests , Psychomotor Performance , Quality of Life , Treatment Outcome
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