代谢性疾病多病共存及其与医疗花费和健康结局的关联（中国中老年成年人）数据集

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_The Prevalence of Metabolic Disease Multimorbidity and Its Associations With Spending and Health Outcomes in Middle-Aged and Elderly Chinese Adults.docx
• DOI：10.3389/fpubh.2021.658706.s001
• 发布日期：2021-05-03
• 文件数：1 个
• 文件总体积：52.35 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_Prevalence_of_Metabolic_Disease_Multimorbidity_and_Its_Associations_With_Spending_and_Health_Outcomes_in_Middle-Aged_and_Elderly_Chinese_Adults_docx/14528217

命令行下载

curl -L -o "Data_Sheet_1_The Prevalence of Metabolic Disease Multimorbidity and Its Associations With Spending and Health Outcomes in Middle-Aged and Elderly Chin.docx" "https://ndownloader.figshare.com/files/27850941"

文件清单

• Data_Sheet_1_The Prevalence of Metabolic Disease Multimorbidity and Its Associations With Spending and Health Outcomes in Middle-Aged and Elderly Chin.docx（52.35 KB）

文件总体积 52.35 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

Objective: Metabolic diseases have been a clinical challenge worldwide and a major public health issue. Very few studies from China investigated the impact of metabolic multimorbidity on healthcare and health outcomes at the national level. This study aims to examine the association of metabolic multimorbidity with health service utilization, spending, functional and mental health.
Materials and Methods: This is a nationally representative cross-sectional study, utilizing the data from the China Health and Retirement Longitudinal Study in 2015, including 11,377 participants aged 45 years and older. Multivariable regression models were used to assess the association of metabolic multimorbidity with healthcare, out-of-pocket expenditure (OOPE), the activities of daily living (ADL) limitation, the instrumental activities of daily living (IADL) limitation, and depression.
Results: Overall, 30.50% of total participants had metabolic multimorbidity in 2015 in China. Compared with single disease, metabolic multimorbidity were associated with the number of outpatient visits [incident rate ratio (IRR) = 1.30, 95% CI = 1.05, 1.62] and days of inpatient care (IRR = 1.52, 95% CI = 1.28, 1.81). Metabolic multimorbidity was positively associated with the OOPE on outpatient care (coefficient = 82.99, 95% CI = 17.70, 148.27) and physical functional difficulties, including ADL limitation (odds ratio = 1.36, 95% CI = 1.18, 1.57).
Conclusions: Metabolic multimorbidity is associated with higher levels of health-care service use, greater expenditure for outpatient care, and more difficulties in ADL among Chinese adults. China’'s health-care systems need to shift from single-disease models to new financing and service delivery models to effectively manage metabolic multimorbidity.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2021.658706.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_Prevalence_of_Metabolic_Disease_Multimorbidity_and_Its_Associations_With_Spending_and_Health_Outcomes_in_Middle-Aged_and_Elderly_Chinese_Adults_docx/14528217）。