Always looking on the bright side of life? Exploring optimism and health in three UK post-industrial urban settings

J Public Health (Oxf). 2015 Sep;37(3):389-97. doi: 10.1093/pubmed/fdv077. Epub 2015 Jun 11.

Abstract

Background: Many theories have been proposed to explain the high levels of 'excess' mortality (i.e. higher mortality over and above that explained by differences in socio-economic circumstances) shown in Scotland-and, especially, in its largest city, Glasgow-compared with elsewhere in the UK. One such proposal relates to differences in optimism, given previously reported evidence of the health benefits of an optimistic outlook.

Methods: A representative survey of Glasgow, Liverpool and Manchester was undertaken in 2011. Optimism was measured by the Life Orientation Test (Revised) (LOT-R), and compared between the cities by means of multiple linear regression models, adjusting for any differences in sample characteristics.

Results: Unadjusted analyses showed LOT-R scores to be similar in Glasgow and Liverpool (mean score (SD): 14.7 (4.0) for both), but lower in Manchester (13.9 (3.8)). This was consistent in analyses by age, gender and social class. Multiple regression confirmed the city results: compared with Glasgow, optimism was either similar (Liverpool: adjusted difference in mean score: -0.16 (95% CI -0.45 to 0.13)) or lower (Manchester: -0.85 (-1.14 to -0.56)).

Conclusions: The reasons for high levels of Scottish 'excess' mortality remain unclear. However, differences in psychological outlook such as optimism appear to be an unlikely explanation.

Keywords: Glasgow; Life Orientation Test (Revised); excess mortality; optimism; post-industrial.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • England / epidemiology
  • Health Status*
  • Humans
  • Interviews as Topic
  • Linear Models
  • Middle Aged
  • Mortality
  • Optimism / psychology*
  • Scotland / epidemiology
  • Surveys and Questionnaires
  • United Kingdom / epidemiology
  • Urban Population / statistics & numerical data
  • Young Adult