冠状动脉疾病遗传风险意识对心脏健康行为的影响

数据集获取（Figshare）

• 源站标题：Coronary artery disease genetic risk awareness motivates heart health behaviors in the Coriell Personalized Medicine Collaborative
• DOI：10.6084/m9.figshare.3458756.v1
• 发布日期：2016-06-23
• 文件数：5 个
• 文件总体积：96.73 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Coronary_artery_disease_genetic_risk_awareness_motivates_heart_health_behaviors_in_the_Coriell_Personalized_Medicine_Collaborative/3458756

命令行下载

curl -L -o "Scheinfeldt_FigureS1.png" "https://ndownloader.figshare.com/files/5436437"
curl -L -o "Scheinfeldt_FigureS2.pdf" "https://ndownloader.figshare.com/files/5436440"
curl -L -o "Scheinfeldt_FigureS3.pdf" "https://ndownloader.figshare.com/files/5436443"
curl -L -o "Scheinfeldt_FigureS4.png" "https://ndownloader.figshare.com/files/5436446"
curl -L -o "Scheinfeldt_supplementary_figures_legend.doc" "https://ndownloader.figshare.com/files/5436449"

文件清单

• Scheinfeldt_FigureS1.png（59.06 KB）
• Scheinfeldt_FigureS2.pdf（4.60 KB）
• Scheinfeldt_FigureS3.pdf（4.60 KB）
• Scheinfeldt_FigureS4.png（3.89 KB）
• Scheinfeldt_supplementary_figures_legend.doc（24.58 KB）

文件总体积 96.73 KB（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: The Coriell Personalized Medicine Collaborative (CPMC) research study is designed to evaluate the potential contributions of common genetic risk factors to complex disease prevention, screening, and management. Here we have focused on the impact of personalized risk reports including genetic and non-genetic risk factors for coronary artery disease (CAD) on heart health behaviors.
Methods: We analyzed self-reported behavioral outcome data from 683 CPMC participants who received personalized CAD risk reports including: genetic risk, family history risk, and self-reported non-genetic risks based on smoking and diabetes status.
Results: Participants with awareness of increased genetic risk for CAD were significantly more likely to report increases in heart health behaviors after viewing their personalized risk report (F-value=14.11, p-value=9.92 x 10−7). This result remained significant after controlling for BMI and gender (eta=0.58, p-value = 6.91 x 10−7).
Conclusion: Our study indicates that individuals who are aware of their genetic risk for CAD may have higher motivation to increase heart health behaviors.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.3458756.v1（source: https://tandf.figshare.com/articles/dataset/Coronary_artery_disease_genetic_risk_awareness_motivates_heart_health_behaviors_in_the_Coriell_Personalized_Medicine_Collaborative/3458756）。