充血性心力衰竭患者生活质量影响因素的国际比较:一项横断面研究
一项横断面调查研究,收集美国与荷兰367名充血性心力衰竭患者的社会、心理、医疗等多因素数据,用于分析生活质量的影响因素。

基本信息
资源简介
充血性心力衰竭患者生活质量影响因素的国际比较:一项横断面研究
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 3.06 MB,主题涵盖 367 adult patients、factor、heart failure clinic、CHF、SQM,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《An international comparison of factors affecting quality of life among patients with congestive heart failure: A cross-sectional study》。配套论文《An international comparison of factors affecting quality of life among patients with congestive heart failure: A cross-sectional study》发表于 PLOS ONE(2020),DOI:10.1371/journal.pone.0231346。源站首次发布:2020-04-08。
【数据内容】
源站原始描述:Objective To explore associations among twenty formal and informal, societal and individual-level factors and quality of life (QOL) among people living with congestive heart failure (CHF) in two settings with different healthcare and social care systems and sociocultural contexts. Setting and participants We recruited 367 adult patients with CHF from a single heart failure clinic within two countries with different national social to healthcare spending ratios: Minneapolis, Minnesota, United Sta…
【数据结构与技术规格】
文件数 4 个,合计 3.06 MB。pone.0231346.s001.pdf:application/pdf,2.23 MB。pone.0231346.s002.doc:application/msword,438.27 KB。pone.0231346.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,269.36 KB。数据集 DOI:10.1371/journal.pone.0231346。
【主题与分类】
源站学科分类:Biotechnology、Developmental Biology、Cancer、Science Policy、Mental Health、Infectious Diseases。主题标签:367 adult patients、factor、heart failure clinic、CHF、SQM、healthcare spending ratios、heart failure、QOL、e.g、Design Cross-sectional survey study。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/An_international_comparison_of_factors_affecting_quality_of_life_among_patients_with_congestive_heart_failure_A_cross-sectional_study/12099762
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Roy, Brita; Wolf, Judith R. L. M.; Carlson, Michelle D.; Akkermans, Reinier; Bart, Bradley; Batalden, Paul; et al. (2020). An international comparison of factors affecting quality of life among patients with congestive heart failure: A cross-sectional study. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:An international comparison of factors affecting quality of life among patients with congestive heart failure: A cross-sectional study
- DOI:10.1371/journal.pone.0231346
- 发布日期:2020-04-08
- 文件数:4 个
- 文件总体积:3.06 MB
- 源站页面:https://plos.figshare.com/articles/dataset/An_international_comparison_of_factors_affecting_quality_of_life_among_patients_with_congestive_heart_failure_A_cross-sectional_study/12099762
命令行下载
curl -L -o "pone.0231346.s001.pdf" "https://ndownloader.figshare.com/files/22250499"
curl -L -o "pone.0231346.s002.doc" "https://ndownloader.figshare.com/files/22250505"
curl -L -o "pone.0231346.s003.xlsx" "https://ndownloader.figshare.com/files/22250508"
curl -L -o "pone.0231346.s004.pdf" "https://ndownloader.figshare.com/files/22250511"
文件清单
pone.0231346.s001.pdf(2.23 MB)pone.0231346.s002.doc(438.27 KB)pone.0231346.s003.xlsx(269.36 KB)pone.0231346.s004.pdf(116.13 KB)
文件总体积 3.06 MB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
Objective
To explore associations among twenty formal and informal, societal and individual-level factors and quality of life (QOL) among people living with congestive heart failure (CHF) in two settings with different healthcare and social care systems and sociocultural contexts.
Setting and participants
We recruited 367 adult patients with CHF from a single heart failure clinic within two countries with different national social to healthcare spending ratios: Minneapolis, Minnesota, United States (US), and Nijmegen, Netherlands (NL).
Design
Cross-sectional survey study. We adapted the Social Quality Model (SQM) to organize twenty diverse factors into four categories: Living Conditions (formal-societal: e.g., housing, education), Social Embeddedness (informal-societal: e.g., social support, trust), Societal Embeddedness (formal-individual: e.g., access to care, legal aid), and Self-Regulation (informal-individual: e.g., physical health, resilience). We developed a survey comprising validated instruments to assess each factor. We administered the survey in-person or by mail between March 2017 and August 2018.
Outcomes
We used Cantril’s Self-Anchoring Scale to assess overall QOL. We used backwards stepwise regression to identify factors within each SQM category that were independently associated with QOL among US and NL participants (pResults
367 CHF patients from the US (32%) and NL (68%) participated. Among US participants, financial status, receiving legal aid or housing assistance, and resilience were associated with QOL, and together explained 49% of the variance in QOL; among NL participants, financial status, perceived physical health, independence in activities of daily living, and resilience were associated with QOL, and explained 53% of the variance in QOL.
Conclusions
Four formal and informal factors explained approximately half of the variance in QOL among patients with CHF in the US and NL.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0231346(source: https://plos.figshare.com/articles/dataset/An_international_comparison_of_factors_affecting_quality_of_life_among_patients_with_congestive_heart_failure_A_cross-sectional_study/12099762)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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