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Type: Journal article
Title: Population levels of wellbeing and the association with social capital
Author: Taylor, A.
Kelly, G.
Dal Grande, E.
Kelly, D.
Marin, T.
Hey, N.
Burke, K.
Licinio, J.
Citation: BMC Psychology, 2017; 5(1):23-1-23-9
Publisher: BioMed Central
Issue Date: 2017
ISSN: 2050-7283
Statement of
A.W. Taylor, G. Kelly, E. Dal Grande, D. Kelly, T. Marin, N. Hey, K.J. Burke and J. Licinio
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.
Keywords: Wellbeing; social capital; Australia; population
Rights: © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated
RMID: 0030073908
DOI: 10.1186/s40359-017-0193-0
Appears in Collections:Public Health publications

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