表2_当性别至关重要:急性心肌梗死后医疗服务利用与危险因素监测中的不平等.docx

急性心肌梗死后一年内健康服务利用与心血管危险因素监测性别差异研究的表2数据(DOCX)。

NIAID Data Ecosystem
浏览 15
表格gender inequalitiesdelivery of healthcarehealthcare utilizationcardiovascular risk factorsmyocardial infarctionsecondary preventionreal-world data
Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx

基本信息

模态
表格
大小
0.000360408 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

表2_当性别至关重要:急性心肌梗死后医疗服务利用与危险因素监测中的不平等.docx

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 360.41 KB,主题涵盖 gender inequalities、delivery of healthcare、healthcare utilization、cardiovascular risk factors、myocardial infarction,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《Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx》。配套论文《Cohort Profile: The CArdiovascular Risk factors for hEalth Services research (CARhES) cohort study》发表于 International Journal of Epidemiology(2024),DOI:10.1093/ije/dyae015。源站首次发布:2025-06-26。

【数据内容】

源站原始描述:IntroductionSecondary prevention after an acute myocardial infarction (AMI) has the objective of improving quality of life, minimizing recurrence, and reducing morbidity and mortality. Despite European guidelines highlighting the importance of cardiovascular risk factor (CVRF) management and optimal healthcare utilization, inequalities persist, particularly between genders. This study aims to identify and analyze gender inequalities in healthcare utilization and CVRF monitoring during the first…

【数据结构与技术规格】

文件数 1 个,合计 360.41 KB。Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,360.41 KB。数据集 DOI:10.3389/fgwh.2025.1605400.s002。

【主题与分类】

源站学科分类:Medicine。主题标签:gender inequalities、delivery of healthcare、healthcare utilization、cardiovascular risk factors、myocardial infarction、secondary prevention、real-world data。

【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://frontiersin.figshare.com/articles/dataset/Table_2_When_gender_matters_inequalities_in_health_services_utilization_and_risk_factors_monitoring_after_acute_myocardial_infarction_docx/29411696

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:López-Ferreruela, Irene; Gimeno-Miguel, Antonio; Laguna-Berna, Clara; Malo, Sara; Castel-Feced, Sara; Rabanaque, María José; et al. (2025). Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx. Frontiers. Dataset

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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。

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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)

命令行下载

curl -L -o "Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx" "https://ndownloader.figshare.com/files/55663994"

文件清单

  • Table 2_When gender matters: inequalities in health services utilization and risk factors monitoring after acute myocardial infarction.docx(360.41 KB)

文件总体积 360.41 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

IntroductionSecondary prevention after an acute myocardial infarction (AMI) has the objective of improving quality of life, minimizing recurrence, and reducing morbidity and mortality. Despite European guidelines highlighting the importance of cardiovascular risk factor (CVRF) management and optimal healthcare utilization, inequalities persist, particularly between genders. This study aims to identify and analyze gender inequalities in healthcare utilization and CVRF monitoring during the first year after AMI using real-world data (RWD).
MethodsAn analytical study was conducted within the CARhES (CArdiovascular Risk factors for Health Services research) cohort in Aragon, Spain. The study population included 3,464 subjects who survived a first AMI and were followed for one full year after the event. Sociodemographic, anthropometric, clinical data, healthcare utilization, CVRF monitoring and pharmacological prescriptions, were extracted from the Aragon Health Service. Statistical analyses included chi-squared tests, Student’'s t-tests, and logistic regression, with Blinder-Oaxaca decomposition applied to explore possible explanatory factors for gender differences.
ResultsWomen represented 28.3% of the study population. Compared with men, they were older and had a higher morbidity burden. Primary care utilization was similar between genders; however, women had fewer cardiology visits (p Gender inequalities are still present in post-AMI care and CVRF management, with women being more likely to receive less adequate treatment and management. Addressing these inequalities is crucial to ensuring equitable care and improving health outcomes for women.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgwh.2025.1605400.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_2_When_gender_matters_inequalities_in_health_services_utilization_and_risk_factors_monitoring_after_acute_myocardial_infarction_docx/29411696)。

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