Lyons Jane, Akbari Ashley, Abrams Keith R, Azcoaga Lorenzo Amaya, Ba Dhafari Thamer, Chess James, Denaxas Spiros, Fry Richard, Gale Chris P, Gallacher John, Griffiths Lucy J, Guthrie Bruce, Hall Marlous, Jalali-Najafabadi Farideh, John Ann, MacRae Clare, McCowan Colin, Peek Niels, O'Reilly Dermot, Rafferty James, Lyons Ronan A, Owen Rhiannon K
Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, Wales, UK.
Department of Statistics, University of Warwick, Coventry, UK.
Lancet Reg Health Eur. 2023 Jul 17;32:100687. doi: 10.1016/j.lanepe.2023.100687. eCollection 2023 Sep.
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.
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.
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)).
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.
UK Medical Research Council, Health Data Research UK, and Administrative Data Research Wales.
了解和量化不同社会经济群体在整个生命周期中疾病发展的差异,对于规划医疗保健和预防服务至关重要。本研究旨在衡量慢性病的累积情况,并考察英国威尔士不同社会经济群体在患单一疾病、多种疾病以及死亡时间上的差异。
进行全人群电子关联队列研究,对威尔士居民进行长达20年(2000 - 2019年)的随访。使用CALIBER疾病表型登记册从全科医疗和住院记录中获取慢性病诊断信息。采用多状态模型来研究132种疾病的累积轨迹和死亡率,并对性别、年龄和地区层面的贫困程度进行了调整。计算受限平均生存时间,以衡量不同社会经济群体在无慢性病或无死亡状态下所花费的时间。
经过5年的清理期后,从可能的290万个体中总共纳入了965,905名年龄在5 - 104岁之间的个体,平均随访时间为13.2年(1270万人年)。在研究期间,约673,189名(69.7%)个体患上了至少一种慢性病或死亡。从10岁起,生活在最贫困地区的个体在健康状态之间的时间持续减少,与生活在最不贫困地区的同等人口相比,向首次及后续发病和死亡的转变加速。在10岁和20岁患多种疾病的男性中观察到最大差异(-0.45年(99%CI:-0.45,-0.44)),以及在70岁患多种疾病后死亡的男性中观察到最大差异(-1.98年(99%CI:-2.01,-1.95))。
本研究通过证明生活在更贫困地区的个体在所有年龄段患慢性病和死亡的诊断时间持续加速,考虑了竞争风险,从而为现有的健康不平等文献增添了内容。
英国医学研究理事会、英国健康数据研究以及威尔士行政数据研究。