Drivers of Subjective Well-Being Under Different Economic Scenarios

Arrondo, Rubén; García, Ana Cárcaba; González, Eduardo

doi:10.3389/fpsyg.2021.696184

Cited by 10 publications

(6 citation statements)

References 82 publications

(96 reference statements)

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“…Predictors of quality of life have been addressed by several authors [3][4][5]. Variables affecting quality of life are also commonly referred to as "drivers of quality of life" [6,7]. In the paper, the variable affecting the quality of life is called a predictor.…”

Section: Introductionmentioning

confidence: 99%

Social Capital as a Predictor of Quality of Life: The Czech Experience

Murgaš

Petrovič

Tirpáková

2022

IJERPH

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In the paper, we understand social capital as a variable that affects the quality of life. A variable whose change affects another variable is called a predictor. The paper is based on Putnam’s understanding of social capital with the dimensions of trust, norms and networks. Trust is considered the most important dimension, and for the purposes of the paper social capital is identified with trust. Quality of life is a holistic concept with two dimensions expressing an assessment of satisfaction with life. After society became richer—in the 1960’s in the West and, after the collapse of the bipolar world, also in Central and Eastern Europe—the need for quantity was replaced by the need for quality. The paper is focused on Czechia, with social capital as a predictor of quality of life being investigated geographically at the level of districts. According to the research hypothesis, social capital will have a strong influence on the quality of life of residents in Czechia, i.e., it will be its predictor. To test the validity of the research hypothesis, research was conducted. The aim of the paper is to outline the epistemology of social capital from the aspect of quality of life, description of quality of life and then to test the validity of the research hypothesis by measurements. The result of the quantification of social capital and quality of life at the level of districts and their correlation is important from an epistemological point of view for two reasons. The first is to question the generally accepted premise of the position of social capital as a strong predictor of quality of life. The second is the recognition that the premise of the position of social capital as a strong predictor of quality of life applies in the districts with the highest quality of life.

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Section: Introductionmentioning

confidence: 99%

Social Capital as a Predictor of Quality of Life: The Czech Experience

Murgaš

Petrovič

Tirpáková

2022

IJERPH

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“…This finding echoes other work on smaller samples of countries (Stanca, 2010 ). Though we do not examine this in the current work, research suggests the importance of income and other individual factors will likely also vary across time (Arrondo et al, 2021 ).…”

Section: Discussionmentioning

confidence: 98%

“…Gender differences in SWB have been also shown to depend on whether people live in a place with strong gender rights (Graham and Chattopadhyay, 2013 ). The relationship between unemployment and SWB has also been shown to vary across time according to economic conditions of the period (Arrondo et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Les Misérables: An analysis of low SWB across the world

et al. 2023

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Global trends indicate that the prevalence of low subjective wellbeing is on the rise, though not all regions are equal in terms of both absolute levels and their trajectories. In this paper, we explore the relative importance of individual- and country-level factors in predicting low SWB. Put differently, we ask if a person found themselves behind a veil of ignorance, should they want to know who they will be or what country they will live in to better understand their risk of having low wellbeing. To answer this question, we leverage data from the most extensive wellbeing survey in the world—the Gallup World Poll. We explore people's likelihood of reporting low evaluative wellbeing (that their life is close to the worst possible life on the Cantril ladder) and low experiential wellbeing (reporting having felt angry, sad, stressed, and worried for most of the day yesterday). Using multilevel models on both measures, we show that individual factors have the greatest explanatory power across both measures, but that country level factors are almost four times more important in explaining the variation in low evaluative wellbeing than low experiential wellbeing around the world. We also present evidence that individual and country-level factors interact, suggesting that a complex system of people and places determines people's likelihood of reporting low SWB.

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“…Finally, OLS regression analysis was conducted to determine whether various variables had a significant impact on three composite subjective measures-mental health, life satisfaction and loneliness. The selection of these independent variables was guided by relevant theory that considers drivers of subjective wellbeing, [43][44][45] and on specific patterns that emerged from the data.…”

Section: Data Collection and Analysismentioning

confidence: 99%

Understanding shedders: Which socio‐demographic, health and wellbeing characteristics best inform appropriate health promotion action in men's sheds and a ‘Shed for Life’?

McGrath

Murphy

Egan

et al. 2022

Health Prom J of Aust

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Issue Addressed Men's sheds (‘Sheds’) have been identified as inherently health promoting and as potential settings to engage ‘hard‐to‐reach’ men in more structured health promotion initiatives. However, little is known about the socio‐demographic or health and wellbeing characteristics of Shed members (‘Shedders’) on which such initiatives might be based. This study captures a baseline cross‐sectional analysis of Shedders (n = 384) who participated in ‘Sheds for Life’, a health promotion initiative tailored to Sheds. Methods Objective health measures (body composition, blood pressure, blood lipids) captured via health screening as well as socio‐demographic and health and wellbeing measures (physical activity, subjective wellbeing, mental health, social capital, cooking and diet) via questionnaires were assessed. Descriptive statistics were generated and differences between groups were determined via parametric and non‐parametric testing. Bivariate analysis was used to determine associations and regression analysis then estimated various predictors on mental wellbeing, life satisfaction and loneliness. Results Participants were mostly over 65 years (77.3%), retired (88.6%) with limited educational attainment (77%). The majority were in the ‘at‐risk’ categories for objective health measures, with most being referred to their GP following health screening (79.6%). Older Shedders were also more likely to meet physical activity guidelines. Mental wellbeing was positively correlated with life satisfaction and increased social capital and these were also positively correlated with physical activity (P < .05). Conclusions Findings highlight the potential of Sheds in reaching a ‘hard‐to‐reach’ and ‘at‐risk’ cohort of men. Despite a high prevalence of ‘at‐risk’ objective health measures, participants report their health in positive terms. Future health promotion initiatives should capitalise on the inherent health‐promoting properties of Sheds. So What? Findings raise important implications for prioritising and designing health promotion initiatives in Shed settings.

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Drivers of Subjective Well-Being Under Different Economic Scenarios

Cited by 10 publications

References 82 publications

Social Capital as a Predictor of Quality of Life: The Czech Experience

Social Capital as a Predictor of Quality of Life: The Czech Experience

Les Misérables: An analysis of low SWB across the world

Understanding shedders: Which socio‐demographic, health and wellbeing characteristics best inform appropriate health promotion action in men's sheds and a ‘Shed for Life’?

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