医护人员基线特征数据集

巴基斯坦医护人员代谢综合征与心血管疾病风险横断面研究基线数据。

NIAID Data Ecosystem
浏览 18
表格39 – 13private healthcare systemworkplace based screeningelevated waist circumferencelowering mets burdendiv >< p807 healthcare workersrisk factors maybiologic risk factors24 – 4mets negative groupmets positive group
Baseline characteristics of healthcare workers.

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

医护人员基线特征数据集

【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 9.73 KB,主题涵盖 39 – 13、private healthcare system、workplace based screening、elevated waist circumference、lowering mets burden,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《Baseline characteristics of healthcare workers.》。配套论文《Prevalence of metabolic syndrome and its association with cardiovascular disease risk and common risk factors amongst healthcare workers in Pakistan》发表于 PLOS Global Public Health(2025),DOI:10.1371/journal.pgph.0004135。源站首次发布:2025-03-03。

【数据内容】

源站原始描述:Metabolic syndrome (MetS) significantly increases the risk of cardiovascular disease (CVD). Healthcare workers (HCWs) are at a higher risk of CVD. However, little is known about the association between MetS and CVD risk in healthcare workers in Pakistan. We aimed to assess the prevalence of MetS and its components and examined the association between MetS and 10-year CVD-risk using Framingham Risk Score (FRS) and common CVD risk factors amongst HCWs working in a private healthcare system in Paki…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pgph.0004135.t001。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Physiology、Biotechnology、Sociology、Biological Sciences not elsewhere classified。主题标签:39 – 13、private healthcare system、workplace based screening、elevated waist circumference、lowering mets burden、807 healthcare workers、risk factors may、biologic risk factors、24 – 4、mets negative group。

【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/Baseline_characteristics_of_healthcare_workers_/28526466

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

规范引用:Khan, Unab I.; Khan, Sonya F.; Qureshi, Asra (2025). Baseline characteristics of healthcare workers.. PLOS Global Public Health. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/52742247"

文件清单

  • Table 1.xls(9.73 KB)

文件总体积 9.73 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

Metabolic syndrome (MetS) significantly increases the risk of cardiovascular disease (CVD). Healthcare workers (HCWs) are at a higher risk of CVD. However, little is known about the association between MetS and CVD risk in healthcare workers in Pakistan. We aimed to assess the prevalence of MetS and its components and examined the association between MetS and 10-year CVD-risk using Framingham Risk Score (FRS) and common CVD risk factors amongst HCWs working in a private healthcare system in Pakistan. This cross-sectional study uses baseline data from an existing CVD risk screening program for employees at a private healthcare system in Pakistan. MetS was diagnosed using the American Heart Association cut-offs for Asian population. Healthcare workers were divided into MetS positive and negative groups; demographics, MetS components and CVD risk were compared between these groups. Logistic regression was used to examine the association of MetS with 10-year CVD-risk and its risk factors. In 1,807 healthcare workers, 677 (37%) had MetS and 48 (2.7%) had a high 10-year CVD-risk. Of the MetS components, low High-density Lipoprotein (HDL) 1,467 (81%) and elevated waist circumference (WC) 1,049 (58%) were the most prevalent. Compared to MetS negative group, MetS positive group had a higher proportion of high-risk CVD (0.7% vs. 5.9%; p: <0.01). After controlling for known risk factors, we found that the odds of having MetS is 5.7 times higher (aOR: 5.67 (95% CI: 2.39–13.4) in those with high CVD risk. In addition, we found a significant association between screening positive for depression and MetS (OR: 2.42 (95% CI: 1.24–4.72). Interestingly, tobacco use was not significantly associated with MetS (OR: 0.81 (95% CI: 0.58–1.15). We found a high prevalence of MetS amongst Pakistani healthcare workers and of the MetS components, low HDL and elevated WC were the most prevalent. Along with biologic risk factors (age, sex and family history of CVD), depression significantly increases the odds of having MetS. In addition, both intermediate and high CVD risk groups have significant association with MetS. Comprehensive, workplace based screening and management programs are requir

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pgph.0004135.t001(source: https://plos.figshare.com/articles/dataset/Baseline_characteristics_of_healthcare_workers_/28526466)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案