Socioeconomic inequalities in physical, psychological, and cognitive multimorbidity in middle-aged and older adults in 33 countries: a cross-sectional study

社会经济地位 横断面研究 认知 优势比 家庭收入 人口学 心理学 逻辑回归 老年学 医学 精神科 地理 环境卫生 社会学 病理 内科学 考古 人口
作者
Yujie Ni,Yaguan Zhou,Mika Kivimäki,Ying Cai,Rodrigo M. Carrillo‐Larco,Xin Xu,Xiaochen Dai,Xiaolin Xu
出处
期刊:The Lancet Healthy Longevity [Elsevier]
卷期号:4 (11): e618-e628 被引量:13
标识
DOI:10.1016/s2666-7568(23)00195-2
摘要

BackgroundMany physical, psychological, and cognitive disorders are highly clustered among populations with low socioeconomic status. However, the extent to which socioeconomic status is associated with different combinations of these disorders is unclear, particularly outside high-income countries. We aimed to evaluate these associations in 33 countries including high-income countries, upper-middle-income countries, and one lower-middle-income country.MethodsThis cross-sectional multi-region study pooled individual-level data from seven studies on ageing between 2017 and 2020. Education and total household wealth were used to measure socioeconomic status. Physical disorder was defined as having one or more of the self-reported chronic conditions. Psychological and cognitive disorders were measured by study-specific instruments. The outcome included eight categories: no disorders, physical disorder, psychological disorder, cognitive disorder, and their four combinations. Multivariable-adjusted logistic regression models were used to estimate odds ratios (ORs) and 95% CIs for the associations of socioeconomic status with these outcomes separately for high-income countries, upper-middle-income countries, and the lower-middle-income country.FindingsAmong 167 376 individuals aged 45 years and older, the prevalence of multimorbidity was 24·5% in high-income countries, 33·9% in upper-middle-income countries, and 8·1% in the lower-middle-income country (India). Lower levels of education, household wealth, and a combined socioeconomic status score were strongly associated with physical, psychological, and cognitive multimorbidity in high-income countries and upper-middle-income countries, with ORs (low vs high socioeconomic status) for physical–psychological–cognitive multimorbidity of 12·36 (95% CI 10·29–14·85; p<0·0001) in high-income countries and of 23·84 (18·85–30·14; p<0·0001) in upper-middle-income countries. The associations in the lower-middle-income country were mixed. Participants with both a low level of education and low household wealth had the highest odds of multimorbidity (eg, OR for physical-psychological–cognitive multimorbidity 21·21 [15·95–28·19; p<0·0001] in high-income countries, 37·07 [25·66–53·56; p<0·0001] in upper-middle-income countries, and 54·96 [7·66–394·38; p<0·0001] in the lower-middle-income country).InterpretationIn study populations from high-income countries, upper-middle-income countries, and the lower-middle-income country, the odds of multimorbidity, which included physical, psychological, and cognitive disorders, were more than ten times greater in individuals with low socioeconomic status. Equity-oriented policies and programmes that reduce social inequalities in multimorbidity are urgently needed to achieve Sustainable Development Goals.FundingZhejiang University, Fundamental Research Funds for the Central Universities, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Wellcome Trust, Medical Research Council, National Institute on Aging, and Academy of Finland.TranslationFor the Chinese translation of the abstract see Supplementary Materials section.
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
ding应助通~采纳,获得30
刚刚
1秒前
Annie发布了新的文献求助10
1秒前
晨曦完成签到,获得积分10
2秒前
十一发布了新的文献求助10
2秒前
顾矜应助Peter采纳,获得30
3秒前
Ayanami完成签到,获得积分10
3秒前
英俊的铭应助ysl采纳,获得30
3秒前
酷波er应助范范采纳,获得10
3秒前
4秒前
Akim应助damian采纳,获得30
4秒前
4秒前
6秒前
番茄炒西红柿完成签到,获得积分10
7秒前
无限安蕾完成签到,获得积分10
7秒前
7秒前
飘逸蘑菇发布了新的文献求助10
8秒前
混沌完成签到,获得积分10
8秒前
8秒前
8秒前
8秒前
xg发布了新的文献求助10
10秒前
看看发布了新的文献求助10
11秒前
11秒前
11秒前
11秒前
Annie完成签到,获得积分10
12秒前
12秒前
通~发布了新的文献求助30
13秒前
13秒前
雨雾发布了新的文献求助10
14秒前
daiyapeng完成签到,获得积分10
14秒前
ivy应助科研通管家采纳,获得10
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
Jasper应助科研通管家采纳,获得10
15秒前
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
NN应助科研通管家采纳,获得10
15秒前
36456657应助科研通管家采纳,获得10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794