2型糖尿病、医疗支出及其与人体测量因素和体力活动的相关性：巴西城市18个月随访数据

数据集获取（Figshare）

• 源站标题：Type 2 diabetes, healthcare expenditures and its correlation with anthropometric factors and physical activity: 18-month follow-up in a Brazilian city
• DOI：10.6084/m9.figshare.20032678.v1
• 发布日期：2022-06-08
• 文件数：6 个
• 文件总体积：37.89 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Type_2_diabetes_healthcare_expenditures_and_its_correlation_with_anthropometric_factors_and_physical_activity_18-month_follow-up_in_a_Brazilian_city/20032678

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35779318"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35779321"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35779324"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/35779327"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/35779330"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/35779333"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（9.73 KB）
• Table_4.xls（5.63 KB）
• Table_5.xls（5.63 KB）
• Table_6.xls（5.63 KB）

文件总体积 37.89 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

Abstract AIMS To compare the profile of adults attended at primary care level of the Brazilian National Health System according to occurrence of T2DM during 18 months of follow-up. METHOD Longitudinal study carried out with 316 adults. T2DM and PA were assessed by questionnaires. Measurements of weight, height and waist circumference (WC) were also performed. Healthcare expenditures were based on the demand of services registered in medical records. Analysis of variance (ANOVA) with Tukey’s post hoc test was used, as well as their similar for non-parametric variables. Spearman’s correlation coefficient analyzed the relationship between variables. All analyzes were performed using the statistical software BioEstat (release 5.0) and the significance level was set at p-value <0.05. RESULTS Patients with T2DM at baseline showed higher values of WC, BMI, nursing appointments, customer services, medication, total cost and lower values of PA when compared to patients T2DM-free. Patients who developed T2DM during the follow-up presented higher values of WC, screening, pharmacy frequency, medications and total cost when compared to individuals without T2DM. Being in the highest quartile of PA did not change the costs of health services among patients T2DM-free. Healthcare expenditures were positively correlated to BMI among participants T2DM-free and with T2DM at baseline. CONCLUSION Participants with T2DM and participants who developed T2DM during the follow-up showed higher values of BMI, WC, healthcare expenditures and were less active when compared to participants T2DM-free. Healthcare expenditures were positively correlated with BMI among participants with T2DM at baseline and T2DM-free.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20032678.v1（source: https://scielo.figshare.com/articles/dataset/Type_2_diabetes_healthcare_expenditures_and_its_correlation_with_anthropometric_factors_and_physical_activity_18-month_follow-up_in_a_Brazilian_city/20032678）。