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Household wealth, neighbourhood deprivation and frailty amongst middle-aged and older adults in England: a longitudinal analysis over 15 years (2002-2017)

Author

Listed:
  • Maharani, Asri
  • Sinclair, David R.
  • Chandola, Tarani
  • Bower, Peter
  • Clegg, Andrew
  • Hanratty, Barbara
  • Nazroo, James
  • Pendleton, Neil
  • Tampubolon, Gindo
  • Todd, Chris
  • Wittenberg, Raphael
  • O'Neill, Terence W.
  • Matthews, Fiona E.

Abstract

BACKGROUND: frailty is a condition of reduced function and health due to ageing processes and is associated with a higher risk of falls, hospitalisation, disability and mortality. OBJECTIVE: to determine the relationship between household wealth and neighbourhood deprivation with frailty status, independently of demographic factors, educational attainment and health behaviours. DESIGN: population-based cohort study. SETTING: communities in England. SUBJECTS: in total 17,438 adults aged 50+ from the English Longitudinal Study of Ageing. METHODS: multilevel mixed-effects ordered logistic regression was used in this study. Frailty was measured using a frailty index. We defined small geographic areas (neighbourhoods) using English Lower layer Super Output Areas. Neighbourhood deprivation was measured by the English Index of Multiple Deprivation, grouped into quintiles. Health behaviours included in this study are smoking and frequency of alcohol consumption. RESULTS: the proportion of respondents who were prefrail and frail were 33.8% [95% confidence interval (CI) 33.0-34.6%] and 11.7 (11.1-12.2)%, respectively. Participants in the lowest wealth quintile and living in the most deprived neighbourhood quintile had 1.3 (95% CI = 1.2-1.3) and 2.2 (95% CI = 2.1-2.4) times higher odds of being prefrail and frail, respectively, than the wealthiest participants living in the least deprived neighbourhoods Living in more deprived neighbourhood and poorer wealth was associated with an increased risk of becoming frail. Those inequalities did not change over time. CONCLUSIONS: in this population-based sample, living in a deprived area or having low wealth was associated with frailty in middle-aged and older adults. This relationship was independent of the effects of individual demographic characteristics and health behaviours.

Suggested Citation

  • Maharani, Asri & Sinclair, David R. & Chandola, Tarani & Bower, Peter & Clegg, Andrew & Hanratty, Barbara & Nazroo, James & Pendleton, Neil & Tampubolon, Gindo & Todd, Chris & Wittenberg, Raphael & O', 2023. "Household wealth, neighbourhood deprivation and frailty amongst middle-aged and older adults in England: a longitudinal analysis over 15 years (2002-2017)," LSE Research Online Documents on Economics 118661, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:118661
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    File URL: http://eprints.lse.ac.uk/118661/
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    References listed on IDEAS

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    1. Winkleby, M. & Cubbin, C. & Ahn, D., 2006. "Effect of cross-level interaction between individual and neighborhood socioeconomic status on adult mortality rates," American Journal of Public Health, American Public Health Association, vol. 96(12), pages 2145-2153.
    2. Allan, Rebecca & Williamson, Paul & Kulu, Hill, 2019. "Gendered mortality differentials over the rural-urban continuum: The analysis of census linked longitudinal data from England and Wales," Social Science & Medicine, Elsevier, vol. 221(C), pages 68-78.
    3. Carmen B Franse & Amy van Grieken & Li Qin & René J F Melis & Judith A C Rietjens & Hein Raat, 2017. "Socioeconomic inequalities in frailty and frailty components among community-dwelling older citizens," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-15, November.
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    More about this item

    Keywords

    English Longitudinal Study of Ageing; frailty; health inequalities; household wealth; neighbourhood deprivation; older people;
    All these keywords.

    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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