Factors associated with multimorbidity in England: an analysis of the English Longitudinal Study of Ageing

人口学 民族 医学 纵向研究 婚姻状况 老年学 多项式logistic回归 人口 社会经济地位 公共卫生 逻辑回归 感觉 环境卫生 心理学 社会心理学 护理部 病理 机器学习 社会学 人类学 计算机科学 内科学
作者
Yvonne Nartey,Christos Chalitsios,Nusrat Khan,Glenn Simpson,Hajira Dambha‐Miller,Andrew Farmer
出处
期刊:The Lancet [Elsevier BV]
卷期号:402: S73-S73 被引量:3
标识
DOI:10.1016/s0140-6736(23)02126-8
摘要

BackgroundMultimorbidity, 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.MethodsA 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.FindingsOf 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).InterpretationThe 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.FundingNational Institute for Health and Care Research (NIHR).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
如意的翰发布了新的文献求助10
1秒前
无辜之卉发布了新的文献求助10
1秒前
魈玖发布了新的文献求助10
2秒前
huyuan发布了新的文献求助10
3秒前
上官若男应助正直的西牛采纳,获得10
3秒前
张千鸿完成签到,获得积分10
4秒前
吴彦祖完成签到,获得积分10
4秒前
1234发布了新的文献求助10
4秒前
咖喱鸡完成签到,获得积分10
4秒前
刘宇童完成签到,获得积分10
5秒前
6秒前
6秒前
八爪鱼完成签到 ,获得积分10
6秒前
深情安青应助菜狗采纳,获得10
6秒前
SYLH应助kkkking采纳,获得10
7秒前
十余里完成签到,获得积分20
7秒前
7秒前
李健应助1234采纳,获得10
9秒前
称心寒松发布了新的文献求助10
10秒前
11秒前
SYLH应助zhk采纳,获得10
12秒前
情怀应助原野采纳,获得10
13秒前
14秒前
bkagyin应助十余里采纳,获得20
15秒前
pluto完成签到,获得积分10
15秒前
Jemima发布了新的文献求助10
16秒前
17秒前
无辜之卉完成签到,获得积分20
18秒前
18秒前
汪汪完成签到,获得积分10
18秒前
muderder完成签到,获得积分20
18秒前
1234完成签到,获得积分20
18秒前
18秒前
称心寒松完成签到,获得积分20
19秒前
草莓大恐龙完成签到,获得积分10
19秒前
20秒前
Eva发布了新的文献求助10
20秒前
20秒前
科研通AI5应助涛1采纳,获得10
20秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Разработка метода ускоренного контроля качества электрохромных устройств 500
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3819110
求助须知:如何正确求助?哪些是违规求助? 3362176
关于积分的说明 10415900
捐赠科研通 3080453
什么是DOI,文献DOI怎么找? 1694480
邀请新用户注册赠送积分活动 814668
科研通“疑难数据库(出版商)”最低求助积分说明 768382