TY - JOUR
T1 - Trajectories in chronic disease accrual and mortality across the lifespan in Wales, UK (2005-2019), by area deprivation profile
T2 - linked electronic health records cohort study on 965,905 individuals.
AU - Lyons, Jane
AU - Akbari, Ashley
AU - Abrams, Keith R
AU - Azcoaga-Lorenzo, Amaya
AU - Ba Dhafari, Thamer
AU - Chess, James
AU - Denaxas, Spiros
AU - Fry, Richard
AU - Pale, Chris P
AU - Gallacher, John
AU - Griffiths, Lucy
AU - Guthrie, Bruce
AU - Hall, Marlous
AU - Jalali-najafabadi, Farideh
AU - John, Ann
AU - MacRae, Clare
AU - McCowan, Colin
AU - Peek, Niels
AU - O'Reilly, Dermot
AU - Rafferty, James
AU - Lyons, Ronan A
AU - Owen, Rhiannon K
N1 - Funding Information:
UK Medical Research Council, Health Data Research UK, and Administrative Data Research Wales.This study makes use of anonymised data held in the Secure Anonymised Information Linkage (SAIL) Databank. We would like to acknowledge all the data providers and people who make anonymised data available for research. The authors would like to extend their gratitude and acknowledgement to the NHS, the SAIL Consumer panel as well as the IGRP who approved this project. The project has been approved by the independent IGRP group as SAIL project 0911. Additionally, we would like to thank Professor Per Kragh Andersen for his advice on multi-state modelling. This work was supported by Health Data Research UK (HDRUK) Measuring and Understanding Multimorbidity using Routine Data in the UK (MUrMuRUK, HDR-9006; CFC0110). Health Data Research UK (HDR-9006) is funded by: UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, the National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. This work also was co-funded by the Medical Research Council (MRC) and the National Institute for Health Research (NIHR) through grant number MR/S027750/1. The work was supported by the ADR Wales programme of work, part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1).
Funding Information:
This work was supported by Health Data Research UK (HDRUK) Measuring and Understanding Multimorbidity using Routine Data in the UK (MUrMuRUK, HDR-9006 ; CFC0110 ). Health Data Research UK ( HDR-9006 ) is funded by: UK Medical Research Council , Engineering and Physical Sciences Research Council , Economic and Social Research Council , the National Institute for Health Research (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates , Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation , and Wellcome Trust . This work also was co-funded by the Medical Research Council (MRC) and the National Institute for Health Research (NIHR) through grant number MR/S027750/1 . The work was supported by the ADR Wales programme of work, part of the Economic and Social Research Council (part of UK Research and Innovation ) funded ADR UK (grant ES/S007393/1 ).
Publisher Copyright:
© 2023
PY - 2023/9/1
Y1 - 2023/9/1
N2 - BACKGROUND: Understanding and quantifying the differences in disease development in different socioeconomic groups of people across the lifespan is important for planning healthcare and preventive services. The study aimed to measure chronic disease accrual, and examine the differences in time to individual morbidities, multimorbidity, and mortality between socioeconomic groups in Wales, UK.METHODS: Population-wide electronic linked cohort study, following Welsh residents for up to 20 years (2000-2019). Chronic disease diagnoses were obtained from general practice and hospitalisation records using the CALIBER disease phenotype register. Multi-state models were used to examine trajectories of accrual of 132 diseases and mortality, adjusted for sex, age and area-level deprivation. Restricted mean survival time was calculated to measure time spent free of chronic disease(s) or mortality between socioeconomic groups.FINDINGS: In total, 965,905 individuals aged 5-104 were included, from a possible 2.9 m individuals following a 5-year clearance period, with an average follow-up of 13.2 years (12.7 million person-years). Some 673,189 (69.7%) individuals developed at least one chronic disease or died within the study period. From ages 10 years upwards, the individuals living in the most deprived areas consistently experienced reduced time between health states, demonstrating accelerated transitions to first and subsequent morbidities and death compared to their demographic equivalent living in the least deprived areas. The largest difference were observed in 10 and 20 year old males developing multimorbidity (-0.45 years (99% CI: -0.45, -0.44)) and in 70 year old males dying after developing multimorbidity (-1.98 years (99% CI: -2.01, -1.95)).INTERPRETATION: This study adds to the existing literature on health inequalities by demonstrating that individuals living in more deprived areas consistently experience accelerated time to diagnosis of chronic disease and death across all ages, accounting for competing risks.FUNDING: UK Medical Research Council, Health Data Research UK, and Administrative Data Research Wales.
AB - BACKGROUND: Understanding and quantifying the differences in disease development in different socioeconomic groups of people across the lifespan is important for planning healthcare and preventive services. The study aimed to measure chronic disease accrual, and examine the differences in time to individual morbidities, multimorbidity, and mortality between socioeconomic groups in Wales, UK.METHODS: Population-wide electronic linked cohort study, following Welsh residents for up to 20 years (2000-2019). Chronic disease diagnoses were obtained from general practice and hospitalisation records using the CALIBER disease phenotype register. Multi-state models were used to examine trajectories of accrual of 132 diseases and mortality, adjusted for sex, age and area-level deprivation. Restricted mean survival time was calculated to measure time spent free of chronic disease(s) or mortality between socioeconomic groups.FINDINGS: In total, 965,905 individuals aged 5-104 were included, from a possible 2.9 m individuals following a 5-year clearance period, with an average follow-up of 13.2 years (12.7 million person-years). Some 673,189 (69.7%) individuals developed at least one chronic disease or died within the study period. From ages 10 years upwards, the individuals living in the most deprived areas consistently experienced reduced time between health states, demonstrating accelerated transitions to first and subsequent morbidities and death compared to their demographic equivalent living in the least deprived areas. The largest difference were observed in 10 and 20 year old males developing multimorbidity (-0.45 years (99% CI: -0.45, -0.44)) and in 70 year old males dying after developing multimorbidity (-1.98 years (99% CI: -2.01, -1.95)).INTERPRETATION: This study adds to the existing literature on health inequalities by demonstrating that individuals living in more deprived areas consistently experience accelerated time to diagnosis of chronic disease and death across all ages, accounting for competing risks.FUNDING: UK Medical Research Council, Health Data Research UK, and Administrative Data Research Wales.
KW - Chronic disease
KW - Mortality
KW - Disease trajectories
KW - Population-wide
KW - Health equity
U2 - 10.1016/j.lanepe.2023.100687
DO - 10.1016/j.lanepe.2023.100687
M3 - Article
C2 - 37520147
SN - 2666-7762
VL - 32
JO - The Lancet Regional Health Europe
JF - The Lancet Regional Health Europe
M1 - 100687
ER -