Primary Care Research Centre, University of Southampton, Southampton, UK.
Primary Care Research Centre, University of Southampton, Southampton, UK.
Lancet. 2023 Nov;402 Suppl 1:S73. doi: 10.1016/S0140-6736(23)02126-8.
Multimorbidity, defined as the presence of two or more long-term conditions, is a growing public health challenge, especially in terms of prevention and accumulation of long-term conditions among particular population cohorts. To date, efforts to understand multimorbidity has focused mainly on specific disease combinations, with little known about the sociodemographic factors associated with it. The study aimed to assess the factors associated with multimorbidity in England.
A cross-sectional study was conducted using the English Longitudinal Study of Ageing (ELSA), a dataset of people aged 50 years and older. The study identified ten long-term conditions from waves 2 to 9. Wave 2 to 9 were conducted between June 2004 to July 2005, May 2006 to August 2007, May 2008 to July 2009, June 2010 to July 2011, May 2012 to June 2013, June 2014 to May 2015, May 2016 to June 2017 and June 2018 to July 2019, respectively. The study included people with two or more long-term conditions. We identified the number of long-term conditions and multimorbidity, and we examined their association with age, gender, ethnicity, marital status, employment status, education, weekly contact with relative, and feeling lonely, sad or depressed using multinomial logistic regression.
Of 16 731 people recruited from wave 2 to wave 9, we identified 10 026 people with multimorbidity aged 50 years and older. The majority had two conditions (39%) and were female (55%), aged 50-69 years (32%), of white ethnicity (96%), married (69%) and unemployed (65·3%). The adjusted odds ratio (aOR) of having more than two long-term conditions increased with age, after adjusting for sex and ethnicity (≥5 conditions: aOR 12·89, 95% CI 2·23-3·76). Being female was associated with an increased risk of having more than two long-term conditions (≥5 conditions: aOR 1·21, 1·04-1·42). Similarly, being separated, divorced, or widowed were associated with having more than two long-term conditions (≥5 conditions: aOR 1·45, 1·21-1·74). Not owning a home was independently associated with more than two long-term conditions (≥5 conditions: aOR 1·59, 1·35-1·88).
The current analysis used only ten long-term conditions that were available in the ELSA data, so a different association might have arisen if other conditions had been considered. Our findings provide insights into which particular groups of the multimorbid population could be the target of preventive public health strategies and wider clinical and social care interventions in England to reduce the burden of multimorbidity.
National Institute for Health and Care Research (NIHR).
多种病症,即两种或两种以上的长期病症,是一个日益严峻的公共卫生挑战,尤其是在特定人群队列的预防和长期病症积累方面。迄今为止,人们对多种病症的理解主要集中在特定的病症组合上,而对与之相关的社会人口因素知之甚少。本研究旨在评估与英格兰多种病症相关的因素。
本研究使用了英国老龄化纵向研究(ELSA)的横断面数据,该研究纳入了 50 岁及以上的人群。该研究从第 2 波至第 9 波中确定了 10 种长期病症。第 2 波至第 9 波的调查分别于 2004 年 6 月至 2005 年 7 月、2006 年 5 月至 2007 年 8 月、2008 年 5 月至 2009 年 7 月、2010 年 6 月至 2011 年 7 月、2012 年 5 月至 2013 年 6 月、2014 年 6 月至 2015 年 5 月、2016 年 5 月至 2017 年 6 月和 2018 年 6 月至 2019 年 7 月进行。该研究纳入了患有两种或两种以上长期病症的人群。我们确定了长期病症的数量和多种病症,并使用多项逻辑回归分析了其与年龄、性别、种族、婚姻状况、就业状况、教育程度、与亲属的每周联系以及孤独、悲伤或沮丧的感觉之间的关系。
在第 2 波至第 9 波中招募的 16731 名参与者中,我们确定了 10026 名患有多种病症的 50 岁及以上人群。大多数人患有两种病症(39%),为女性(55%),年龄在 50-69 岁(32%),为白人(96%),已婚(69%)和失业(65.3%)。在调整了性别和种族因素后,患有两种以上长期病症的调整后优势比(aOR)随着年龄的增加而增加(≥5 种病症:aOR 12.89,95%CI 2.23-3.76)。女性患有两种以上长期病症的风险增加(≥5 种病症:aOR 1.21,1.04-1.42)。同样,分居、离婚或丧偶与患有两种以上长期病症有关(≥5 种病症:aOR 1.45,1.21-1.74)。没有自己的住房与患有两种以上长期病症独立相关(≥5 种病症:aOR 1.59,1.35-1.88)。
目前的分析仅使用了 ELSA 数据中可用的 10 种长期病症,因此如果考虑了其他病症,可能会出现不同的关联。我们的研究结果为英格兰多种病症人群的哪些特定群体可能成为预防公共卫生策略和更广泛的临床和社会护理干预措施的目标提供了一些见解,以减轻多种病症的负担。
英国国家健康与保健研究院(NIHR)。