市政卫生网络工人自我报告多病共存的相关因素

数据集获取（Figshare）

• 源站标题：Factors associated with self-reported multimorbidities in workers from the municipal health network
• DOI：10.6084/m9.figshare.22638360.v1
• 发布日期：2023-04-15
• 文件数：6 个
• 文件总体积：1.25 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Factors_associated_with_self-reported_multimorbidities_in_workers_from_the_municipal_health_network/22638360

命令行下载

curl -L -o "067acff31bd9ac6b0b3d972111909db4c6767b60.tif" "https://ndownloader.figshare.com/files/40171014"
curl -L -o "63d4f912de8992a72749bbb970bfac74c1004a6c.png" "https://ndownloader.figshare.com/files/40171017"
curl -L -o "a43be3c172b627cc462095880a8bd85ce7b17c43.jpg" "https://ndownloader.figshare.com/files/40171020"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/40171023"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/40171026"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/40171029"

文件清单

• 067acff31bd9ac6b0b3d972111909db4c6767b60.tif（1.16 MB）
• 63d4f912de8992a72749bbb970bfac74c1004a6c.png（52.20 KB）
• a43be3c172b627cc462095880a8bd85ce7b17c43.jpg（6.67 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（9.73 KB）
• Table_3.xls（5.63 KB）

文件总体积 1.25 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

Abstract Objective: to estimate the prevalence of non-communicable chronic diseases (NCD) and investigate factors associated with chronic multimorbidities among workers from the municipal health network. Methods: cross-sectional study involving basic health care professionals from Diamantina, Minas Gerais, Brazil. The data were collected by an interview applying validated instruments. The studied population’s individual characteristics, habits and lifestyle, health and work conditions were identified. Logistics regression was used to build the multivariate models. Results: 203 of the 257 eligible workers participated in this research, 144 women and 59 men. The most prevalent morbidities were: overweight (27.0%), hypertension (17.2%) and depression/stress (16.2%). The presence of multimorbidities (28.6%) was significantly associated to age over 48 years old (odds ratio - OR: 4,28; confidence interval of 95% - 95%CI: 1.66;11.04), to the presence of common mental disorders (OR: 3.23; 95%CI: 1.50;6.96), whereas the adequate social support at work remained as a protection factor (OR: 0.25; 95%CI: 0.11;0.57). Conclusion: the presence of multimorbidities was associated with older age, presence of common mental disorders, and work organizational characteristics.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.22638360.v1（source: https://scielo.figshare.com/articles/dataset/Factors_associated_with_self-reported_multimorbidities_in_workers_from_the_municipal_health_network/22638360）。