Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Paul Norman

4d3e2535a0b2d7d29427117d4a6ca620?s=47 Paul Norman
November 06, 2020

Paul Norman

People, places & spaces
Across the 'HOPE' project research questions the underlying expectations are that, cross-sectionally, there are inter-relationships between people’s attributes and where they live; whether specific places or type of spaces, especially when area measures are ‘compositional’.

Longitudinally though, people’s attributes can change over time and people change their residential locations. Through these processes, places can change over time (compositionally) and people experience different types of places.

This project aims to have area type measures over time and to link these to longitudinal individual records. This presentation outlines some of our thinking at this early stage in the project.

4d3e2535a0b2d7d29427117d4a6ca620?s=128

Paul Norman

November 06, 2020
Tweet

Transcript

  1. Paul Norman School of Geography, University of Leeds With Emily

    Murray, Nicola Shelton and Jenny Head Launch Event 6th November 2020
  2. People, places & spaces Across the project RQs: Underlying expectations

    … • Cross-sectional • Inter-relationships between people’s attributes and where they live: • Whether specific place or type of space • Especially when area measures are ‘compositional’ • Longitudinal • People’s attributes can change over time • People change their locations → Places can change over time → People experience different types of places Aim to have area measures over time & link to longitudinal individual records Jivraj et al. 2019, 2020; Murray et al. 2013; Darlington-Pollock & Norman 2020; Norman & Riva 2010; Norman et al. 2005
  3. Which geographical definitions? • At whichever scale used … •

    Underlying goal: consistent boundaries over time • & thereby enable comparisons of change • Older information expressed in contemporary geographies • The ‘Cheshire Cat’ becomes the ‘Unitary Authority of Warrington Cat’ • There are some downsides! (after Jasper Fforde)
  4. Influence / relevance of geographical levels? • Neighbourhood • Local

    Authority • Travel to Work Area • City Region • Government Office Region
  5. Influence / relevance of geographical levels? • Neighbourhood • Local

    Authority • Travel to Work Area • City Region • Government Office Region
  6. Influence / relevance of geographical levels? • Neighbourhood • Local

    Authority • Travel to Work Area • City Region • Government Office Region
  7. Influence / relevance of geographical levels? • Neighbourhood • Local

    Authority • Travel to Work Area • City Region • Government Office Region
  8. Influence / relevance of geographical levels? • Neighbourhood • Local

    Authority • Travel to Work Area • City Region • Government Office Region
  9. Influence / relevance of types of spaces? For census years,

    by (all / any of) the previous geographies but initially for local authorities & regions • Area deprivation • Industries of employment Health indicators (for all ages & for age 65+): • Cause-specific mortality • Self-rated health • Limiting long-term illness • Life expectancy • Disability free life expectancy • Healthy life expectancy
  10. Area deprivation and limiting long-term illness R = 0.59 R

    = 0.61 R = 0.53 Age 40-49 Age 50-59 Age 60-69
  11. Varying LLTI rates by age Most : Least Deprivation Inequalities

    Retirement Age Schedule ‘Kinks’ Norman & Boyle 2014 Marshall & Norman 2013
  12. People, places & spaces Theoretical & aspirational • People &

    place interactions across a variety of geographies • Aim to capture these over time Practical & realistic • Data availability • Specified existing multiple geographies • Likelihood of linking to the LS
  13. People, places & spaces Currently • Doing data trawls •

    Constructing lookup tables for older to contemporary geographies at different levels • Linkage to LS member records agreed for LAs and regions • Not yet for lower and alternative geographies Head et al (2020)
  14. References Darling ton-Pollock F & Norman P (2020) Establishing a

    f ramework of analysis f or selective sorting and changing health gradients. Population Space & Place https://doi.org/10.1002/psp.2359 Head J, Shelton N, Norman P & Murray E (2020) HOPE launch event Health of Older People in places (HOPe): as an asset f or social and economic improvement f or all DOI 10.13140/RG.2.2.15791.15520 Jivraj S, Murray E, Norman P & Nicholas O (2020) The impact of lif e course exposures to neighbourhood deprivation on health a nd well-being : a review of the long -term neig hbourhood effects literature. European Journal of Public Health: 30(5) 922 –928 https://doi.org/10.1093/eurpub/ckz153 Jivraj S, Norman P, Nicholas O & Murray E (2019) Are there sensitive neighbourhood effect periods during the lif e course on midlif e health and wellbeing ? Health & Place 57: 147 -156 https://doi.org/10.1016/j.healthplace.2019.03.009 Marshall A & Norman P (2013) Geographies of the impact of retirement on health in the United Kingdom. Health & Place 30: 1 -12 http://dx.doi.org/10.1016/j.healthplace.2012.11.004 Murray, E. T., Ben -Shlomo, Y., Tilling , K., Southall, H., Aucott, P., Kuh, D., & Hardy, R. (2013). Area deprivation across the l if e course and physical capability in midlife: f indings f rom the 1946 British birth cohort. American journal of epidemiology , 178(3), 441- 450. Norman P & Boyle P (2014) Are health ineq ualities between differently deprived areas evident at different ages? A longitudina l study of census records in Eng land & W ales, 1991 -2001. Health & Place 26:88 -93 http://dx.doi.org/10.1016/j.healthplace.2013.12.010 Norman P, Boyle P & Rees P (2005) Selective mig ration, health and deprivation: a longitudinal analysis. Social Science & Medi cine 60(12): 2755 -2771 Norman P & Riva M (2012) Population health across space and time: the geographical harmonisation of the ONS Longitudinal Stud y f or Eng land and W ales. Population, Space & Place 18: 483 -502 DOI: 10.1002/psp.1705