Socio-economic inequalities in life expectancy of older adults with and without multimorbidity: A record linkage study of 1.1 million people in England
Open accessAbstract
BACKGROUND: Age of onset of multimorbidity and its prevalence are well documented. However, its contribution to inequalities in life expectancy has yet to be quantified. METHODS: A cohort of 1.1 million English people aged 45 and older were followed up from 2001 to 2010. Multimorbidity was defined as having 2 or more of 30 major chronic diseases. Multi-state models were used to estimate years spent healthy and with multimorbidity, stratified by sex, smoking status and quintiles of small-area deprivation. RESULTS: Unequal rates of multimorbidity onset and subsequent survival contributed to higher life expectancy at age 65 for the least (Q1) compared with most (Q5) deprived: there was a 2-year gap in healthy life expectancy for men [Q1: 7.7 years (95% confidence interval: 6.4-8.5) vs Q5: 5.4 (4.4-6.0)] and a 3-year gap for women [Q1: 8.6 (7.5-9.4) vs Q5: 5.9 (4.8-6.4)]; a 1-year gap in life expectancy with multimorbidity for men [Q1: 10.4 (9.9-11.2) vs Q5: 9.1 (8.7-9.6)] but none for women [Q1: 11.6 (11.1-12.4) vs Q5: 11.5 (11.1-12.2)]. Inequalities were attenuated but not fully attributable to socio-economic differences in smoking prevalence: multimorbidity onset was latest for never smokers and subsequent survival was longer for never and ex smokers. CONCLUSIONS: The association between social disadvantage and multimorbidity is complex. By quantifying socio-demographic and smoking-related contributions to multimorbidity onset and subsequent survival, we provide evidence for more equitable allocation of prevention and health-care resources to meet local needs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CPRD has been employed previously to investigate socio-economic and demographic factors in variation in care of physical and mental health conditions.
“CPRD has been employed previously to investigate socio-economic and demographic factors in variation in care of physical and mental health conditions [27,28].”
From The Impact of demographic, socio-economic and geographic factors on mortality risk among people living with dementia in England (2002–2016) (2021) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60240-2 · Cited by 6,972 · see citing works
Aging with multimorbidity: A systematic review of the literature
Marengoni, A., Angleman, S., Melis, R., Mangialasche, F., Karp, A., Garmen, A., Meinow, B., & Fratiglioni, L. (2011) · Ageing Research Reviews · doi:10.1016/j.arr.2011.03.003 · Cited by 3,092 · see citing works
Kirkwood, B. R., & Sterne, J. A. C. (2014) · Bristol Research (University of Bristol) · Cited by 2,820 · see citing works
Data Resource Profile: Clinical Practice Research Datalink (CPRD)
Herrett, E., Gallagher, A. M., Bhaskaran, K., Forbes, H., Mathur, R., van Staa, T., & Smeeth, L. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv098 · Cited by 2,667 · cited 2× · see citing works
“This study quantifies socio-economic differences in agespecific rates of multimorbidity onset and subsequent mortality, in a cohort representative of the English population.(15,16) It also estimates socio-economic and health Key Messages”
BackgroundPlace effects on health: how can we conceptualise, operationalise and measure them?
MacIntyre, S., Ellaway, A., & Cummins, S. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00214-3 · Cited by 2,034 · see citing works
Multi-State Models for Panel Data: The msm Package for R
Jackson, C. H. (2011) · Journal of Statistical Software · doi:10.18637/jss.v038.i08 · Cited by 1,351 · see citing works
A Systematic Review of Prevalence Studies on Multimorbidity: Toward a More Uniform Methodology
Fortin, M., Stewart, M., Poitras, M.-È., Almirall, J., & Maddocks, H. L. (2012) · The Annals of Family Medicine · doi:10.1370/afm.1337 · Cited by 1,131 · see citing works
Kingston, A., Robinson, L. A., Booth, H., Knapp, M. R. J., Jagger, C., & for the MODEM project (2017) · Age and Ageing · doi:10.1093/ageing/afx201 · Cited by 837 · see citing works
Self-citationMultimorbidity and mortality in older adults: A systematic review and meta-analysis
Nunes, B. P., Flores, T. R., Mielke, G. I., Thumé, E., & Facchini, L. A. (2016) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2016.07.008 · Cited by 776 · see citing works
Diederichs, C., Berger, K., & Bartels, D. B. (2011) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glq208 · Cited by 693 · see citing works
Grundy, E. M. D., & Holt, G. (2001) · Journal of Epidemiology & Community Health · doi:10.1136/jech.55.12.895 · Cited by 461 · see citing works
Foster, H. M. E., Celis-Morales, C. A., Nicholl, B. I., Petermann-Rocha, F., Pell, J. P., Gill, J. M. R., O'Donnell, C. A., & Mair, F. S. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30200-7 · Cited by 441 · see citing works
Mackenbach, J. P., Kulhánová, I., Menvielle, G., Bopp, M., Borrell, C., Costa, G., Deboosere, P., Esnaola, S., Kalèdiené, R., Kovács, K., et al. (2014) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-204319 · Cited by 269 · see citing works
Denaxas, S., George, J., Herrett, E. L., Shah, A. D., Kalra, D., Hingorani, A. D., Mika Kivimaki, B., Timmis, A., Smeeth, L. L., & Hemingway, H. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys188 · Cited by 228 · see citing works
Comparing measures of multimorbidity to predict outcomes in primary care: a cross sectional study
Brilleman, S. L., & Salisbury, C. (2012) · Family Practice · doi:10.1093/fampra/cms060 · Cited by 169 · see citing works
Pujades‐Rodríguez, M., George, J., Shah, A. D., Rapsomaniki, E., Denaxas, S., West, R., Smeeth, L. L., Timmis, A., & Hemingway, H. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu218 · Cited by 131 · see citing works
Marston, L., Carpenter, J. R., Walters, K. R., Morris, R. W., Nazareth, I., White, I. R., & Petersen, I. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-004958 · Cited by 105 · see citing works
Strauss, V. Y., Jones, P. W., Kadam, U. T., & Jordan, K. P. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.06.003 · Cited by 82 · see citing works
Much more medicine for the oldest old: trends in UK electronic clinical records
Melzer, D. R., Tavakoly, B., Winder, R. E., Masoli, J. A. H., Henley, W., Blè, A., & Richards, S. H. (2014) · Age and Ageing · doi:10.1093/ageing/afu113 · Cited by 72 · see citing works
Bajekal, M., Scholes, S., O’Flaherty, M., Raine, R., Norman, P. D., & Capewell, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059608 · Cited by 66 · see citing works
Self-citationMulti-State Survival Models for Interval-Censored Data
van den Hout, A. (2016) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315374321 · Cited by 66 · see citing works
GREGORY, I. N. (2009) · BMJ · doi:10.1136/bmj.b3454 · Cited by 52 · see citing works
Using electronic health records to predict costs and outcomes in stable coronary artery disease
Asaria, M., Walker, S., Palmer, S., Gale, C. P., Shah, A. D., Abrams, K. R., Crowther, M. J., Manca, A., Timmis, A., Hemingway, H., et al. (2016) · Heart · doi:10.1136/heartjnl-2015-308850 · Cited by 36 · see citing works
Silhol, R., Zins, M., Chauvin, P., & Chaix, B. (2009) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2009.087379 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [20]Salisbury CJ, Mercer SW, Fortin M (eds). The ABC of Multimorbidity. Oxford: Wiley-Blackwell, 2014.
Cited by
Sorted by citations
Watson, J., Darlington-Pollock, F., Green, M., Giebel, C., & Akpan, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182413405 · Cited by 21 · see citing works
- Authors
- Chan, M. S., van den Hout, A., Pujades-Rodriguez, M., Jones, M. M., Matthews, F. E., Jagger, C., Raine, R., & Bajekal, M.
- Affiliations
- University of Oxford (GB)
- Department of Statistical Science, University College London, London, UK
- Health Science Research, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
- University College London (GB)
- Newcastle University (GB)
- Corresponding author
- Bajekal, Madhavi
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-04-03
- Volume
- 48
- Issue
- 4
- Pages
- 1340-1351
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC6693817
- OpenAlex
- W2919188527
- Cited by
- 57
- References
- 24
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 8 · 2023: 10 · 2022: 10 · 2021: 10 · 2020: 7 · 2017: 1
- FWCI
- 5.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Epidemiology (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- St George's Online Research Archive (St George's University of London) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Repository@Hull (Worktribe) (University of Hull) (submittedVersion, cc-by)
- Newcastle University ePrints (Newcastle Univesity) (cc-by-nc)
- Funders
- Legal & General Assurance Society Ltd
- National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North Thames
- Topics
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- multimorbidity, life expectancy, socioeconomic disparities, older adults, small-area deprivation, smoking, healthy life expectancy, survival, sex differences, chronic disease, health disparities
- MeSH terms
- Multimorbidity, Aged, Aged, 80 and over, Chronic Disease, England, Female, Health Status, Humans, Life Expectancy, Male, Middle Aged, Poverty Areas, Risk Factors, Smoking, Socioeconomic Factors, Cohort Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review