Factors most strongly associated with breathlessness in a population aged 50–64 years

M. Olsson, Anders J Björkelund, Jacob Sandberg, Anders Blomberg, Mats Börjesson, David C Currow, Andrei Malinovschi, Magnus Sköld, Per Wollmer, Kjell Torén, C. Östgren, Gunnar Engström, Magnus Ekström
{"title":"Factors most strongly associated with breathlessness in a population aged 50–64 years","authors":"M. Olsson, Anders J Björkelund, Jacob Sandberg, Anders Blomberg, Mats Börjesson, David C Currow, Andrei Malinovschi, Magnus Sköld, Per Wollmer, Kjell Torén, C. Östgren, Gunnar Engström, Magnus Ekström","doi":"10.1183/23120541.00582-2023","DOIUrl":null,"url":null,"abstract":"Breathlessness is a troublesome and prevalent symptom in the population, but knowledge of related factors is scarce. The aim of this study was to identify the factors most strongly associated with breathlessness in the general population and to describe the shapes of the associations between the main factors and breathlessness.a cross-sectional analysis of the multicentre population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) of adults aged 50 to 64 years. Breathlessness was defined as a modified Medical Research Council (mMRC) breathlessness rating ≥2. The machine-learning algorithm extreme gradient boosting (XGBoost) was used to classify participants as either breathless or nonbreathless using 449 factors, including physiological measurements, blood samples, computer tomography cardiac and lung measurements, lifestyle, health conditions, and socioeconomics. The strength of the associations between the factors and breathlessness were measured by SHapley Additive exPlanations (SHAP), with higher scores reflecting stronger associations.A total of 28 730 participants (52% women) were included in the study. The strongest associated factors for breathlessness were (in order of magnitude): body mass index (BMI; [SHAP score]0.39), forced expiratory volume in 1 s (FEV1; 0.32), physical activity measured by accelerometery (0.27), sleep apnoea (0.22), diffusing lung capacity for carbon monoxide (0.21), self-reported physical activity (0.17), chest pain when hurrying (0.17), high-sensitivity C-reactive protein (hs-CRP) (0.17), recent weight change (0.14), and cough (0.13).This large population-based study of men and women aged 50–64 years identified the main factors related to breathlessness that may be prevented or amenable to public health interventions.","PeriodicalId":504874,"journal":{"name":"ERJ Open Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERJ Open Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1183/23120541.00582-2023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Breathlessness is a troublesome and prevalent symptom in the population, but knowledge of related factors is scarce. The aim of this study was to identify the factors most strongly associated with breathlessness in the general population and to describe the shapes of the associations between the main factors and breathlessness.a cross-sectional analysis of the multicentre population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) of adults aged 50 to 64 years. Breathlessness was defined as a modified Medical Research Council (mMRC) breathlessness rating ≥2. The machine-learning algorithm extreme gradient boosting (XGBoost) was used to classify participants as either breathless or nonbreathless using 449 factors, including physiological measurements, blood samples, computer tomography cardiac and lung measurements, lifestyle, health conditions, and socioeconomics. The strength of the associations between the factors and breathlessness were measured by SHapley Additive exPlanations (SHAP), with higher scores reflecting stronger associations.A total of 28 730 participants (52% women) were included in the study. The strongest associated factors for breathlessness were (in order of magnitude): body mass index (BMI; [SHAP score]0.39), forced expiratory volume in 1 s (FEV1; 0.32), physical activity measured by accelerometery (0.27), sleep apnoea (0.22), diffusing lung capacity for carbon monoxide (0.21), self-reported physical activity (0.17), chest pain when hurrying (0.17), high-sensitivity C-reactive protein (hs-CRP) (0.17), recent weight change (0.14), and cough (0.13).This large population-based study of men and women aged 50–64 years identified the main factors related to breathlessness that may be prevented or amenable to public health interventions.
50-64 岁人群中与呼吸困难关系最密切的因素
呼吸困难是一种令人烦恼的普遍症状,但人们对相关因素的了解却很少。这项研究的目的是确定与普通人群呼吸困难关系最密切的因素,并描述主要因素与呼吸困难之间的关系。这项研究是对瑞典CArdio-Pulmonary bioImage研究(SCAPIS)的一项横断面分析,研究对象是50至64岁的成年人。呼吸困难的定义是改良医学研究委员会(mMRC)呼吸困难评分≥2。使用机器学习算法极端梯度提升(XGBoost),利用包括生理测量、血液样本、计算机断层扫描心肺测量、生活方式、健康状况和社会经济等在内的 449 个因素,将参与者划分为憋气或不憋气。这些因素与憋气之间的关联强度由 SHapley Additive exPlanations(SHAP)来衡量,得分越高,关联强度越大。研究共纳入 28 730 名参与者(52% 为女性)。与呼吸困难相关性最强的因素依次为:体重指数(BMI;[SHAP 得分]0.39)、1 秒用力呼气容积(FEV1;0.32)、加速度计测量的体力活动(0.27)、睡眠呼吸暂停(0.22)、一氧化碳肺弥散能力(0.21)、自我报告的体力活动(0.这项针对 50-64 岁男性和女性的大型人群研究确定了与呼吸困难有关的主要因素,这些因素可能可以预防,也可能可以采取公共卫生干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信