Population levels of wellbeing and the association with social capital.

Anne Taylor, Gabrielle Kelly, Eleonora Dal Grande, David Kelly, Tania Marin, Nancy Hey, Karena Burke, Julio Licinio

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.
Original languageEnglish
JournalBMC Psychology
Volume5
Issue number23
Publication statusPublished or Issued - 3 Jul 2017

Cite this