IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/118661.html

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
    as

    Download full text from publisher

    File URL: https://researchonline.lse.ac.uk/id/eprint/118661/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Paul T. von Hippel, 2020. "How Many Imputations Do You Need? A Two-stage Calculation Using a Quadratic Rule," Sociological Methods & Research, , vol. 49(3), pages 699-718, August.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shelby Vereecke & Kalia Bennett & Stephanie Schrempft & Michael Kobor & Michael Brauer & Silvia Stringhini, 2025. "The Intersection of Socioeconomic and Environmental Factors in Aging: Insights from a Narrative Review," IJERPH, MDPI, vol. 22(8), pages 1-31, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vanessa Tan & Cynthia Chen & Reshma Aziz Merchant, 2022. "Association of social determinants of health with frailty, cognitive impairment, and self-rated health among older adults," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-18, November.
    2. Coustaury, Camille & Jeannot, Elias & Moreau, Adele & Nietge, Clotilde & Maharani, Asri & Richards, Lindsay & Präg, Patrick, 2023. "Subjective socioeconomic status and self-rated health in the English Longitudinal Study of Aging: A fixed-effects analysis☆☆We thank the anonymous reviewers of Social Science & Medicine for their helpful comments. Data (Phelps et al., 2020) used in t," Social Science & Medicine, Elsevier, vol. 336(C).
    3. Green, Mark A., 2013. "The equalisation hypothesis and changes in geographical inequalities of age based mortality in England, 2002–2004 to 2008–2010," Social Science & Medicine, Elsevier, vol. 87(C), pages 93-98.
    4. Jieun Lee, 2022. "Moral Hazard on Productivity Among Work-From-Home Workers Amid the COVID-19 Pandemic," Papers 2209.05684, arXiv.org.
    5. Franziska Meyer & Oliver Winkler, 2023. "Place of Residence Does Matter for Educational Integration: The Relevance of Spatial Contexts for Refugees’ Transition to VET in Germany," Social Sciences, MDPI, vol. 12(3), pages 1-30, February.
    6. Samuel H. Fishman, 2025. "Occupational Status and Health in Early Midlife," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 44(1), pages 1-27, February.
    7. Masi, Christopher M. & Hawkley, Louise C. & Harry Piotrowski, Z. & Pickett, Kate E., 2007. "Neighborhood economic disadvantage, violent crime, group density, and pregnancy outcomes in a diverse, urban population," Social Science & Medicine, Elsevier, vol. 65(12), pages 2440-2457, December.
    8. Han Hu & Yafei Si & Bingqin Li, 2020. "Decomposing Inequality in Long-Term Care Need Among Older Adults with Chronic Diseases in China: A Life Course Perspective," IJERPH, MDPI, vol. 17(7), pages 1-14, April.
    9. Roth, Adam R. & Denney, Justin T. & Amiri, Solmaz & Amram, Ofer, 2020. "Characteristics of place and the rural disadvantage in deaths from highly preventable causes," Social Science & Medicine, Elsevier, vol. 245(C).
    10. O'Donnell, James & Cárdenas, Diana & Orazani, Nima & Evans, Ann & Reynolds, Katherine J., 2022. "The longitudinal effect of COVID-19 infections and lockdown on mental health and the protective effect of neighbourhood social relations," Social Science & Medicine, Elsevier, vol. 297(C).
    11. Muhammad Salar Khan, 2021. "Estimating a new panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income economies," Papers 2109.05529, arXiv.org.
    12. Karin Hederos Eriksson & Randi Hjalmarsson & Matthew J. Lindquist & Anna Sandberg, 2016. "The importance of family background and neighborhood effects as determinants of crime," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 219-262, January.
    13. Hiroshi Murayama & Reiko Arami & Tomoko Wakui & Ikuko Sugawara & Satoru Yoshie, 2014. "Cross-level interaction between individual and neighbourhood socioeconomic status in relation to social trust in a Japanese community," Urban Studies, Urban Studies Journal Limited, vol. 51(13), pages 2770-2786, October.
    14. Zhang, Wei & McCubbin, Hamilton & McCubbin, Laurie & Chen, Qi & Foley, Shirley & Strom, Ida & Kehl, Lisa, 2010. "Education and self-rated health: An individual and neighborhood level analysis of Asian Americans, Hawaiians, and Caucasians in Hawaii," Social Science & Medicine, Elsevier, vol. 70(4), pages 561-569, February.
    15. Martine J. Sealy & Fons van der Lucht & Barbara C. van Munster & Wim P. Krijnen & Hans Hobbelen & Hans A. Barf & Evelyn J. Finnema & Harriët Jager-Wittenaar, 2022. "Frailty among Older People during the First Wave of the COVID-19 Pandemic in The Netherlands," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    16. Ana F. Silva & Jose Mª Cancela & Irimia Mollinedo & Miguel Camões & Pedro Bezerra, 2021. "The Relationship between Health Perception and Health Predictors among the Elderly across European Countries," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    17. Rok Hrzic & Tobias Vogt & Helmut Brand & Fanny Janssen, 2021. "The Short-Term Effects of European Integration on Mortality Convergence: A Case Study of European Union’s 2004 Enlargement," European Journal of Population, Springer;European Association for Population Studies, vol. 37(4), pages 909-931, November.
    18. Trovato, Daniel & Zimmerman, Gregory M. & Vu, Huy Gia Han, 2025. "Is school discipline decapitalizing America's youth?: Examining the effect of school discipline on family, peer, teacher, and school social capital," Journal of Criminal Justice, Elsevier, vol. 97(C).
    19. Kravdal, Øystein, 2009. "Mortality effects of average education in current and earlier municipality of residence among internal migrants, net of their own education," Social Science & Medicine, Elsevier, vol. 69(10), pages 1484-1492, November.
    20. Chan‐Hoong Leong & Soo Jiuan Tan & Elizabeth A. Minton & Siok Kuan Tambyah, 2021. "Economic hardship and neighborhood diversity: Influences on consumer well‐being," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(4), pages 1226-1248, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:118661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.