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P45 Social and spatial mobility and self-reported health in older-age: linkage of the scottish longitudinal study to the 1947 scottish mental survey
  1. LF Forrest1,2,
  2. C Dibben1,2,
  3. Z Feng1,2,
  4. I Deary3,
  5. F Popham4
  1. 1Administrative Data Research Centre Scotland, University of Edinburgh, Edinburgh, UK
  2. 2School of Geosciences, University of Edinburgh, Edinburgh, UK
  3. 3Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
  4. 4MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK


Background The use of administrative datasets to create new cohorts with large sample sizes allows us to answer research questions that we previously could not.Linkage to historic datasets allows exploration of factors that may be important across the life course.

There is debate within the literature as to whether social mobility inflates or constrains health inequalities. The role of geographical mobility is unknown. We were interested in exploring how spatial and social mobility might impact on health in older age using linked administrative and cohort data.

Methods The 1947 Scottish Mental Survey (a 1936 birth cohort of 70 805 individuals with age 11 cognitive ability test scores) was linked to the Scottish Longitudinal Study (a semi-random sample of 5.3% of the Scottish population), and backward linked to the 1939 register to obtain parental occupation in 1939 (as a measure of social origin) and forward linked to obtain occupation from the 1991 census (social destination), as well as geographical location in 1939 and 1991. We examined the movement between three geographical areas (Edinburgh, Glasgow, Other) in Scotland. Four social mobility trajectories were derived. We modelled the relationship between social and geographic mobility and likelihood of having self-reported limiting long term illness (LLTI) at age 65, using logistic regression.

Results Those who were geographically mobile to Edinburgh had the lowest rates of self-reported LLTI and those who remained resident in the Glasgow area had the highest rates. The lowest and highest rates of LLTI were found in the socially-static at the top and bottom of the social scale respectively, with intermediate rates seen in the upwardly and downwardly mobile. However neither social nor spatial mobility were significantly associated with health in later life in the fully adjusted model when highest educational qualifications and cognitive ability were included. Being female, having higher education qualifications and being in a higher social class in childhood and adulthood reduced the likelihood of poor health at age 65.

Conclusion Although both social class and geographical location were associated with the likelihood of LLTI in later life, social and spatial mobility were not, when factors such as education and cognitive ability were controlled for.

  • social mobility
  • spatial mobility
  • health inequalities

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