Population levels of wellbeing and the association with social capital
Abstract Background This research investigates wellbeing at the population level across demographic, social and health indicators and assesses the association between wellbeing and social capital. Method Data from a South Australian monthly chronic disease/risk factor surveillance system of randomly...
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doaj-5c9618ace2b0453f87cbddc37594c22a2020-11-24T21:49:47ZengBMCBMC Psychology2050-72832017-07-01511910.1186/s40359-017-0193-0Population levels of wellbeing and the association with social capitalA. W. Taylor0G. Kelly1E. Dal Grande2D. Kelly3T. Marin4N. Hey5K. J. Burke6J. Licinio7Population Research & Outcome Studies, Discipline of Medicine, The University of AdelaideWellbeing and Resilience Centre, South Australian Health and Medical Research Institute (SAHMRI)Population Research & Outcome Studies, Discipline of Medicine, The University of AdelaideWellbeing and Resilience Centre, South Australian Health and Medical Research Institute (SAHMRI)Wellbeing and Resilience Centre, South Australian Health and Medical Research Institute (SAHMRI)What Works Centre for WellbeingWellbeing and Resilience Centre, South Australian Health and Medical Research Institute (SAHMRI)Wellbeing and Resilience Centre, South Australian Health and Medical Research Institute (SAHMRI)Abstract Background This research investigates wellbeing at the population level across demographic, social and health indicators and assesses the association between wellbeing and social capital. Method Data from a South Australian monthly chronic disease/risk factor surveillance system of randomly selected adults (mean age 48.7 years; range 16–99) from 2014/5 (n = 5551) were used. Univariable analyses compared wellbeing/social capital indicators, socio-demographic, risk factors and chronic conditions. Multi-nominal logistic regression modelling, adjusting for multiple covariates was used to simultaneously estimate odds ratios for good wellbeing (reference category) versus neither good nor poor, and good wellbeing versus poor wellbeing. Results 48.6% were male, mean age 48.7 (sd 18.3), 54.3% scored well on all four of the wellbeing indicators, and positive social capital indicators ranged from 93.1% for safety to 50.8% for control over decisions. The higher level of social capital corresponded with the good wellbeing category. Modeling showed higher odds ratios for all social capital variables for the lowest level of wellbeing. These higher odds ratios remained after adjusting for confounders. Conclusions The relationship between wellbeing, resilience and social capital highlights areas for increased policy focus.http://link.springer.com/article/10.1186/s40359-017-0193-0WellbeingSocial capitalAustraliaPopulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. W. Taylor G. Kelly E. Dal Grande D. Kelly T. Marin N. Hey K. J. Burke J. Licinio |
spellingShingle |
A. W. Taylor G. Kelly E. Dal Grande D. Kelly T. Marin N. Hey K. J. Burke J. Licinio Population levels of wellbeing and the association with social capital BMC Psychology Wellbeing Social capital Australia Population |
author_facet |
A. W. Taylor G. Kelly E. Dal Grande D. Kelly T. Marin N. Hey K. J. Burke J. Licinio |
author_sort |
A. W. Taylor |
title |
Population levels of wellbeing and the association with social capital |
title_short |
Population levels of wellbeing and the association with social capital |
title_full |
Population levels of wellbeing and the association with social capital |
title_fullStr |
Population levels of wellbeing and the association with social capital |
title_full_unstemmed |
Population levels of wellbeing and the association with social capital |
title_sort |
population levels of wellbeing and the association with social capital |
publisher |
BMC |
series |
BMC Psychology |
issn |
2050-7283 |
publishDate |
2017-07-01 |
description |
Abstract Background This research investigates wellbeing at the population level across demographic, social and health indicators and assesses the association between wellbeing and social capital. Method Data from a South Australian monthly chronic disease/risk factor surveillance system of randomly selected adults (mean age 48.7 years; range 16–99) from 2014/5 (n = 5551) were used. Univariable analyses compared wellbeing/social capital indicators, socio-demographic, risk factors and chronic conditions. Multi-nominal logistic regression modelling, adjusting for multiple covariates was used to simultaneously estimate odds ratios for good wellbeing (reference category) versus neither good nor poor, and good wellbeing versus poor wellbeing. Results 48.6% were male, mean age 48.7 (sd 18.3), 54.3% scored well on all four of the wellbeing indicators, and positive social capital indicators ranged from 93.1% for safety to 50.8% for control over decisions. The higher level of social capital corresponded with the good wellbeing category. Modeling showed higher odds ratios for all social capital variables for the lowest level of wellbeing. These higher odds ratios remained after adjusting for confounders. Conclusions The relationship between wellbeing, resilience and social capital highlights areas for increased policy focus. |
topic |
Wellbeing Social capital Australia Population |
url |
http://link.springer.com/article/10.1186/s40359-017-0193-0 |
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