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

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...

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Autores principales: Bisquera, Alessandra, Turner, Ellie Bragan, Ledwaba-Chapman, Lesedi, Dunbar-Rees, Rupert, Hafezparast, Nasrin, Gulliford, Martin, Durbaba, Stevo, Soley-Bori, Marina, Fox-Rushby, Julia, Dodhia, Hiten, Ashworth, Mark, Wang, Yanzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640725/
https://www.ncbi.nlm.nih.gov/pubmed/34901910
http://dx.doi.org/10.1016/j.lanepe.2021.100247
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author Bisquera, Alessandra
Turner, Ellie Bragan
Ledwaba-Chapman, Lesedi
Dunbar-Rees, Rupert
Hafezparast, Nasrin
Gulliford, Martin
Durbaba, Stevo
Soley-Bori, Marina
Fox-Rushby, Julia
Dodhia, Hiten
Ashworth, Mark
Wang, Yanzhong
author_facet Bisquera, Alessandra
Turner, Ellie Bragan
Ledwaba-Chapman, Lesedi
Dunbar-Rees, Rupert
Hafezparast, Nasrin
Gulliford, Martin
Durbaba, Stevo
Soley-Bori, Marina
Fox-Rushby, Julia
Dodhia, Hiten
Ashworth, Mark
Wang, Yanzhong
author_sort Bisquera, Alessandra
collection PubMed
description 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: 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 (n = 826,936). Thirty-two long term conditions (LTCs) were selected using a consensus process, based on a definition adapted to the demographic characteristics of the local population. sThe development and resolution of these LTCs were examined according to sociodemographic and clinical risk factors (hypertension; moderate obesity (BMI 30·0–39·9 kg/m2), high cholesterol (total cholesterol > 5 mmol/L), smoking, high alcohol consumption (>14 units per week), and psychoactive substance use), through the application of multistate Markov chain models. FINDINGS: 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: 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.
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spelling pubmed-86407252021-12-09 Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom Bisquera, Alessandra Turner, Ellie Bragan Ledwaba-Chapman, Lesedi Dunbar-Rees, Rupert Hafezparast, Nasrin Gulliford, Martin Durbaba, Stevo Soley-Bori, Marina Fox-Rushby, Julia Dodhia, Hiten Ashworth, Mark Wang, Yanzhong Lancet Reg Health Eur Research Paper 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: 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 (n = 826,936). Thirty-two long term conditions (LTCs) were selected using a consensus process, based on a definition adapted to the demographic characteristics of the local population. sThe development and resolution of these LTCs were examined according to sociodemographic and clinical risk factors (hypertension; moderate obesity (BMI 30·0–39·9 kg/m2), high cholesterol (total cholesterol > 5 mmol/L), smoking, high alcohol consumption (>14 units per week), and psychoactive substance use), through the application of multistate Markov chain models. FINDINGS: 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: 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. Elsevier 2021-11-04 /pmc/articles/PMC8640725/ /pubmed/34901910 http://dx.doi.org/10.1016/j.lanepe.2021.100247 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Bisquera, Alessandra
Turner, Ellie Bragan
Ledwaba-Chapman, Lesedi
Dunbar-Rees, Rupert
Hafezparast, Nasrin
Gulliford, Martin
Durbaba, Stevo
Soley-Bori, Marina
Fox-Rushby, Julia
Dodhia, Hiten
Ashworth, Mark
Wang, Yanzhong
Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title_full Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title_fullStr Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title_full_unstemmed Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title_short Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom
title_sort inequalities in developing multimorbidity over time: a population-based cohort study from an urban, multi-ethnic borough in the united kingdom
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640725/
https://www.ncbi.nlm.nih.gov/pubmed/34901910
http://dx.doi.org/10.1016/j.lanepe.2021.100247
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