Measuring attachment to life in old age: the Portuguese version of the Positive Valuation of Life Scale (Positive VOL)

Purpose This study aims to present the psychometric properties of the Portuguese version of the Positive Valuation of Life Scale (Lawton et al. in J Aging Ment Healt 13:3–31, 2001). Method Sample included 207 community-dwelling elders (129 women; MAge = 77.2 years, SD = 7.5). The data collection included the translated and adapted Portuguese version of Positive Valuation of Life Scale, Life Satisfac- tion Index Z, Meaning in Life Questionnaire and Geriatric Depression Scale. Results From exploratory factor analysis, two factors emerged, existential beliefs and perceived control, ex- plaining 49 % of the total variance. Both factors were positively related with meaning in life and life satisfaction and negatively related with depression (p\0.05). The values obtained for internal consistency for the total scale and for each subscale were good (a [ 0.75). Conclusion The Portuguese version of Positive VOL Scale represents a reliable and valid measure to capture the subjective experience of attachment to one’s life. The two-factor structure is an update to Lawton’s previous work and in line with findings obtained in the USA (Dennis et al. in What is valuation of life for frail community-dwelling older adults: factor structure and criterion validity of the VOL, Thomas Jefferson University, Center for Applied Research on Aging and Health Research, 2005) and Japan (Nakagawa et al. in Shinrigaku Kenkyu 84:37–46, 2013). Future research is required to investigate VOL predictors and the potential changes toward the end of the life span.

Resilience, perception of parental support and socio-educational intervention strategies

Introduction: Resilience is a core variable in the context of studies on the psychosocial adjustment and school children and teenagers, and should be considered in the context of strategies to promote their well- being and quality of life. Objectives: To know the relationship between resilience, parental support and some sociodemographic variables; outline socio-educational intervention strategies in contexts of children’s lives. Methods: This is a non-experimental, correlational and cross-sectional study, having used a non- probabilistic convenience sample consisting of 150 children, aged between 10 and 16 years old, attending the 2nd and 3rd cycles of Basic Education. The gathering instruments were the Sociodemographic Questionnaire, Inventory Measuring State and Child Resilience (Martins, 2005) and Perception Parental Support Scale (Veiga, 2011). Results: Results show that there are signiicant differences in the values of the current, past and overall resilience, between the age groups children, revealing that children aged between 10 and 11 years have higher results in resilience than young people aged between 14 and 16 years. We also observed signiicant differences in the current resilience, depending on the parents’ marital status (higher when parents are married). We also observed positive and signiicant correlations between resilience and perception of parental support. Conclusions: Results are in line with the scientiic literature in the ield that highlights the key role of resilience in school and psychosocial adjustment of children, and should be considered within the design of socio-educational intervention strategies. Keywords: Resilience. Parental support. Attachment

Quality of life and chronic disease in patients receiving primary health care

Problem Statement: Chronic disease entails physical, psychological and social issues with a decrease in the quality of life. The assessment of QoL has been applied as indicator in patients with chronic diseases. Research Questions: What is the quality of life in patients with chronic disease? What are the socio-demographic variables that influence the quality of life in patients? Purpose: To assess the quality of life in patients suffering from chronic disease and identify socio-demographic variables which influence the quality of life of patients suffering from chronic disease. Research Methods: We conducted a cross-sectional analytical study using a sample composed of 228 users (134 females) from a Family Health Unit in the municipality of Viseu. Data collection was made by means of a questionnaire, consisting of sociodemographic variables, the SF-12 scale and the existence of chronic disease was assessed through the questions – “Do you currently suffer from any chronic disease?”; “If so, which one(s)?”. Findings: The most common chronic diseases were hypertension (59.9%). Female patients with a chronic disease reported worse physical functioning, role-physical and role-emotional; increased bodily pain and better quality of life regarding general health. Male patients showed worse role-physical, increased bodily pain and vitality. Sociodemographic variables which were associated with quality of life were area of residence, academic qualifications and work situation. Conclusion: Chronic disease affects quality of life negatively. Quality of life in both patients groups was associated with socio-demographic variables. Health-related quality of life is an essential issue and should be considered as a priority in health policies.