Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom.

IMD, Indices of Multiple Deprivation LTC, Long term conditions Long term conditions MCF, Mean cumulative function Multi state markov chain Multimorbidity Probabilities QOF, Quality Outcomes Framework UK, United Kingdom

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
Jan 2022
Historique:
entrez: 13 12 2021
pubmed: 14 12 2021
medline: 14 12 2021
Statut: epublish

Résumé

Social and material deprivation accelerate the development of multimorbidity, yet the mechanisms which drive multimorbidity pathways and trajectories remain unclear. We aimed to examine the association between health inequality, risk factors and accumulation or resolution of LTCs, taking disease sequences into consideration. We conducted a retrospective cohort of adults aged 18 years and over, registered between April 2005 and May 2020 in general practices in one inner London borough ( Participants were followed up for a median of 4.2 years (IQR = 1·8 - 8·4); 631,760 (76%) entered the study with no LTCs, 121,424 (15%) with 1 LTC, 41,720 (5%) with 2 LTCs, and 31,966 (4%) with three or more LTCs. At the end of follow-up, 194,777 (24%) gained one or more LTCs, while 45,017 (5%) had resolved LTCs and 27,021 (3%) died. In multistate models, deprivation (hazard ratio [HR] between 1·30 to 1·64), female sex (HR 1·13 to 1·20), and Black ethnicity (HR 1·20 to 1·30; vs White) were independently associated with increased risk of transition from one to two LTCs, and shorter time spent in a healthy state. Substance use was the strongest risk factor for multimorbidity with an 85% probability of gaining LTCs over the next year. First order Markov chains identified consistent disease sequences including: chronic pain or osteoarthritis followed by anxiety and depression; alcohol and substance dependency followed by HIV, viral hepatitis, and liver disease; and morbid obesity followed by diabetes, hypertension, and chronic pain. We examined the relations among 32 LTCs, taking the order of disease occurrence into consideration. Distinctive patterns for the development and accumulation of multimorbidity have emerged, with increased risk of transitioning from no conditions to multimorbidity and mortality related to ethnicity, deprivation and gender. Musculoskeletal disorders, morbid obesity and substance abuse represent common entry points to multimorbidity trajectories.

Sections du résumé

BACKGROUND BACKGROUND
Social and material deprivation accelerate the development of multimorbidity, yet the mechanisms which drive multimorbidity pathways and trajectories remain unclear. We aimed to examine the association between health inequality, risk factors and accumulation or resolution of LTCs, taking disease sequences into consideration.
METHODS METHODS
We conducted a retrospective cohort of adults aged 18 years and over, registered between April 2005 and May 2020 in general practices in one inner London borough (
FINDINGS RESULTS
Participants were followed up for a median of 4.2 years (IQR = 1·8 - 8·4); 631,760 (76%) entered the study with no LTCs, 121,424 (15%) with 1 LTC, 41,720 (5%) with 2 LTCs, and 31,966 (4%) with three or more LTCs. At the end of follow-up, 194,777 (24%) gained one or more LTCs, while 45,017 (5%) had resolved LTCs and 27,021 (3%) died. In multistate models, deprivation (hazard ratio [HR] between 1·30 to 1·64), female sex (HR 1·13 to 1·20), and Black ethnicity (HR 1·20 to 1·30; vs White) were independently associated with increased risk of transition from one to two LTCs, and shorter time spent in a healthy state. Substance use was the strongest risk factor for multimorbidity with an 85% probability of gaining LTCs over the next year. First order Markov chains identified consistent disease sequences including: chronic pain or osteoarthritis followed by anxiety and depression; alcohol and substance dependency followed by HIV, viral hepatitis, and liver disease; and morbid obesity followed by diabetes, hypertension, and chronic pain.
INTERPRETATION CONCLUSIONS
We examined the relations among 32 LTCs, taking the order of disease occurrence into consideration. Distinctive patterns for the development and accumulation of multimorbidity have emerged, with increased risk of transitioning from no conditions to multimorbidity and mortality related to ethnicity, deprivation and gender. Musculoskeletal disorders, morbid obesity and substance abuse represent common entry points to multimorbidity trajectories.

Identifiants

pubmed: 34901910
doi: 10.1016/j.lanepe.2021.100247
pii: S2666-7762(21)00233-7
pmc: PMC8640725
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100247

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Alessandra Bisquera (A)

King's College London, School of Population Health & Environmental Sciences, London, UK.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Ellie Bragan Turner (EB)

Outcomes Based Healthcare, Cavendish Square, London, UK.

Lesedi Ledwaba-Chapman (L)

King's College London, School of Population Health & Environmental Sciences, London, UK.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Rupert Dunbar-Rees (R)

Outcomes Based Healthcare, Cavendish Square, London, UK.

Nasrin Hafezparast (N)

Outcomes Based Healthcare, Cavendish Square, London, UK.

Martin Gulliford (M)

King's College London, School of Population Health & Environmental Sciences, London, UK.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Stevo Durbaba (S)

King's College London, School of Population Health & Environmental Sciences, London, UK.

Marina Soley-Bori (M)

King's College London, School of Population Health & Environmental Sciences, London, UK.

Julia Fox-Rushby (J)

King's College London, School of Population Health & Environmental Sciences, London, UK.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Hiten Dodhia (H)

King's College London, School of Population Health & Environmental Sciences, London, UK.

Mark Ashworth (M)

King's College London, School of Population Health & Environmental Sciences, London, UK.

Yanzhong Wang (Y)

King's College London, School of Population Health & Environmental Sciences, London, UK.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK.

Classifications MeSH