Factors Favoring and Hindering Volunteering by Older Adults and Their Relationship with Subjective Well-Being: A Mixed-Method Approach.
22 Jun 2021-International Journal of Environmental Research and Public Health (Multidisciplinary Digital Publishing Institute)-Vol. 18, Iss: 13, pp 6704
TL;DR: A mixed methodology was used through the triangulation of quantitative and qualitative data to determine older adults' perspectives regarding volunteering and identify what factors can contribute to promoting it, with special emphasis on the role that their own well-being plays in this behavior.
Abstract: A mixed methodology was used through the triangulation of quantitative and qualitative data to determine older adults’ perspectives regarding volunteering and identify what factors can contribute to promoting it, with special emphasis on the role that their own well-being plays in this behavior. The results reveal that satisfaction with life as a whole contributes positively to volunteer behavior and satisfaction with the groups one belongs to contributes negatively. The volunteers were less satisfied than non-volunteers with interpersonal relationships and with the groups they belong to. Knowing the opinion of the older adults with regard to volunteering and understanding how this prosocial behavior relates to their own well-being is very useful for developing strategic plans that allow future volunteers to be captured.
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TL;DR: Zhang et al. as discussed by the authors investigated the effect of social responsibility on the subjective well-being of volunteers for COVID-19 and examined the mediating role of job involvement in this relationship.
Abstract: Aim Our study aimed to investigate the effect of social responsibility on the subjective well-being of volunteers for COVID-19 and to examine the mediating role of job involvement in this relationship. Background Nowadays, more and more people join volunteer service activities. As we all know, volunteer work contributes to society without any return. Volunteers often have a strong sense of social responsibility and reap subjective well-being in their dedication. Although research shows that social responsibility will drive them to participate in volunteer work actively, it is less clear whether job involvement will impact their subjective well-being. Methods The data were collected in the precaution zone in Shanghai, China, from April to May 2022. A sample of 302 volunteers for COVID-19 completed the social responsibility scale, subjective well-being scale and job involvement scale in the form of an electronic questionnaire on their mobile phones. A structural equation model was adopted to verify the research hypotheses. Results Social responsibility was significantly and positively related to volunteers’ subjective well-being and job involvement (p < 0.05). Job involvement fully mediates the relationship between volunteers’ social responsibility and subjective well-being. Conclusion Social responsibility is critical to predicting volunteers’ subjective well-being. Job involvement plays an intervening mechanism in explaining how social responsibility promotes volunteers’ subjective well-being.
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TL;DR: This review considers research from both perspectives concerning the nature of well-being, its antecedents, and its stability across time and culture.
Abstract: ▪ Abstract Well-being is a complex construct that concerns optimal experience and functioning. Current research on well-being has been derived from two general perspectives: the hedonic approach, which focuses on happiness and defines well-being in terms of pleasure attainment and pain avoidance; and the eudaimonic approach, which focuses on meaning and self-realization and defines well-being in terms of the degree to which a person is fully functioning. These two views have given rise to different research foci and a body of knowledge that is in some areas divergent and in others complementary. New methodological developments concerning multilevel modeling and construct comparisons are also allowing researchers to formulate new questions for the field. This review considers research from both perspectives concerning the nature of well-being, its antecedents, and its stability across time and culture.
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TL;DR: The Australian Unity Wellbeing Index (AUWEI) as mentioned in this paper is a new barometer of Australians' satisfaction with their lives, and life in Australia, which is based on the theoretical model of subjective wellbeing.
Abstract: The Australian Unity Wellbeing Index has beendesigned as a new barometer of Australians'satisfaction with their lives, and life inAustralia. It is based on, and develops, thetheoretical model of subjective wellbeinghomeostasis. The Index comprises two sub-scalesof Personal and National Wellbeing. Data werecollected through a nationally representativesample of 2,000 people in April/May 2001.Factor analysis confirmed the integrity of thetwo sub-scales and, confirming empiricalexpectation, the average level of lifesatisfaction was 75.5 percent of the scalemaximum score. Group comparisons revealed thatall age groups maintained their Personal Indexscore within the normal range. In addition,people in country areas were more satisfiedwith their personal lives than city-dwellers,but less satisfied about the nationalsituation, and people who had recentlyexperienced a strong positive event evidenced arise in wellbeing, whereas those who hadexperienced a strong negative event evidencedwellbeing in the low-normal range. It is arguedthat these data generally support homeostatictheory. However, an unusual result was thatfemales were more satisfied with their ownlives than males. A tentative argument isadvanced that this may represent aconstitutional difference. It is concluded thatthe Australian Unity Wellbeing Index haspotential as a valid, reliable and sensitiveinstrument to monitor national wellbeing.
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898 citations
TL;DR: The logistic regression procedure is explained using examples to make it as simple as possible and to avoid confounding effects by analyzing the association of all variables together.
Abstract: Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.
633 citations
TL;DR: In this paper, the authors studied the effect of the collapse of East Germany and its infrastructure of volunteering and found that volunteers are more satisfied with their life than non-volunteers.
Abstract: Volunteering constitutes one of the most important pro-social activities. Following Aristotle, helping others is the way to higher individual wellbeing. This view contrasts with the selfish utility maximizer, who avoids helping others. The two rival views are studied empirically. We find robust evidence that volunteers are more satisfied with their life than non-volunteers. The issue of causality is studied from the basis of the collapse of East Germany and its infrastructure of volunteering. People who lost their opportunities for volunteering are compared with people who experienced no change in their volunteer status.
510 citations