Positive Affection Measurement: Subjective Well-Being in Married People

The study analyzed the correlations among the different factors of subjective well-being (SWB) using a sample of 106 married people with an average of 16.11 years of marriage. The following instruments were used: Sociodemographic Questionnaire, Socioeconomic Questionnaire, and Subjective Well-being Scale (SWBS). Data analyses were conducted using the Software R and a multivariate model to understand the correlations among the factors of the SWBS. All factors of the SWBS were significantly inter-correlated, which confirm the results of the scale validation study. Future studies are necessary to evaluate the SWB in couples (dyads), which can help to understand whether this concept is influenced by the spouse or only by the marital status.

Relationships between gender, age, family conditions, physical and mental health, and social isolation of elderly caregivers

Background: In an aging population an increasing number of elderly caregivers will be called upon to provide care over a long period, during which time they will be burdened both by caregiving and by the physiological effects of their own aging. Among them there will be more aged male caregivers, who will probably be less prepared than women to become caregivers. The aim of this study was to investigate the relationship between caregivers' gender, age, family income, living arrangements and social support as independent variables, and depressive symptoms, comorbidities, level of frailty, grip strength, walking speed and social isolation, as dependent variables. Methods: 176 elderly people (123 women) were selected from a sample of a population-based study on frailty (n = 900), who had cared for a spouse (79.3%) and/or parents (31.4%) in the past five years (mean age = 71.8 +/- 4.86 years; mean monthly family income in minimum wages = 4.64 +/- 5.14). The study used questionnaires and self-report scales, grip strength and walking speed tests. Results: 65% of participants evaluated caregiving as being very stressful. Univariate analyses of regression showed low family income as a risk factor for depression; being female and low perceived social support as a risk for comorbidities; being 80 years of age and above for low grip strength; and being male for social isolation indicated by discontinuity of activities and social roles. In multivariate analyses of regression, poverty arose as a risk factor for depression and being female for comorbidities. Conclusions: Gender roles, age, income and social support interacted with physical and emotional health, and with the continuity of social participation of elderly caregivers. Special attention must be given to male caregivers.