巴西肥胖的健康与经济负担

数据集获取（Figshare）

• 源站标题：Health and Economic Burden of Obesity in Brazil
• DOI：10.1371/journal.pone.0068785
• 发布日期：2013-07-11
• 文件数：3 个
• 文件总体积：907.78 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Health_and_Economic_Burden_of_Obesity_in_Brazil_/744080

命令行下载

curl -L -o "File_S1.doc" "https://ndownloader.figshare.com/files/1116998"
curl -L -o "File_S2.doc" "https://ndownloader.figshare.com/files/1117014"
curl -L -o "File_S3.doc" "https://ndownloader.figshare.com/files/1117015"

文件清单

• File_S1.doc（819.71 KB）
• File_S2.doc（37.89 KB）
• File_S3.doc（50.18 KB）

文件总体积 907.78 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

Introduction
Higher and lower-middle income countries are increasingly affected by obesity. Obesity-related diseases are placing a substantial health and economic burden on Brazil. Our aim is to measure the future consequences of these trends on the associated disease burden and health care costs.
Method
A previously developed micro-simulation model is used to project the extent of obesity, obesity-related diseases and associated healthcare costs to 2050. In total, thirteen diseases were considered: coronary heart disease, stroke, hypertension, diabetes, osteoarthritis, and eight cancers. We simulated three hypothetical intervention scenarios: no intervention, 1% and 5% reduction in body mass index (BMI).
Results
In 2010, nearly 57% of the Brazilian male population was overweight or obese (BMI ≥25 kg/m2), but the model projects rates as high as 95% by 2050. A slightly less pessimistic picture is predicted for females, increasing from 43% in 2010 to 52% in 2050. Coronary heart disease, stroke, hypertension, cancers, osteoarthritis and diabetes prevalence cases are projected to at least double by 2050, reaching nearly 34,000 cases of hypertension by 2050 (per 100,000). 1% and 5% reduction in mean BMI will save over 800 prevalence cases and nearly 3,000 cases of hypertension by 2050 respectively (per 100,000). The health care costs will double from 2010 ($5.8 billion) in 2050 alone ($10.1 billion). Over 40 years costs will reach $330 billion. However, with effective interventions the costs can be reduced to $302 billion by 1% and to $273 billion by 5% reduction in mean BMI across the population.
Conclusion
Obesity rates are rapidly increasing creating a high burden of disease and associated costs. However, an effective intervention to decrease obesity by just 1% will substantially reduce obesity burden and will have a significant effect on health care expenditure.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0068785（source: https://plos.figshare.com/articles/dataset/_Health_and_Economic_Burden_of_Obesity_in_Brazil_/744080）。