2025年美国医疗服务使用和支出:肥胖与病态肥胖的影响

基于MEPS和NHANES数据,预测肥胖对美国2025年医疗服务使用和支出的影响。

Figshare
2018-11-07 更新
浏览 12
表格healthcare servicestrendNHANESindividualhome health careTotal healthcare expenditure increasesConclusions Class III obesityclass III obesityCareful healthcare service planningCensus Bureau dataproject BMI levelsMedical Expenditure Panel Survey
Use of healthcare services and expenditure in the US in 2025: The effect of obesity and morbid obesity

基本信息

模态
表格
大小
0.001234401 GB
许可
CC BY 4.0
创建/更新时间
2018-11-07
版本
v1

资源简介

2025年美国医疗服务使用和支出:肥胖与病态肥胖的影响

【数据集背景】

本数据集源站标题为《Use of healthcare services and expenditure in the US in 2025: The effect of obesity and morbid obesity》。配套论文《Use of healthcare services and expenditure in the US in 2025: The effect of obesity and morbid obesity》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0206703。源站首次发布:2018-11-07。

【数据内容】

源站原始描述:Objective This paper explores the contribution of body-mass index (BMI) categories in shaping past trends of use of healthcare services and associated expenditure in the US and projects results to 2025. Methods The study uses Medical Expenditure Panel Survey (MEPS) data for 2000–2012, reweighted on National Health and Nutrition Survey (NHANES) data for 1972–2012 and US Census Bureau data, to carry out projections for up to 2025. A combination of logistic regressions and generalized linear models…

【数据结构与技术规格】

文件数 3 个,合计 1.23 MB。pone.0206703.s001.pdf:application/pdf,498.92 KB。pone.0206703.s002.pdf:application/pdf,365.60 KB。pone.0206703.s003.pdf:application/pdf,369.88 KB。数据集 DOI:10.1371/journal.pone.0206703。

【主题与分类】

源站学科分类:Medicine、Molecular Biology、Biotechnology、Cancer、Science Policy、Computational Biology。主题标签:healthcare services、trend、NHANES、individual、home health care、Total healthcare expenditure increases、Conclusions Class III obesity、class III obesity、Careful healthcare service planning、Census Bureau data。

【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/Use_of_healthcare_services_and_expenditure_in_the_US_in_2025_The_effect_of_obesity_and_morbid_obesity/7311038

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

规范引用:Cecchini, Michele (2018). Use of healthcare services and expenditure in the US in 2025: The effect of obesity and morbid obesity. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-30,引用时请注意版本时效。

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 "pone.0206703.s001.pdf" "https://ndownloader.figshare.com/files/13505633"
curl -L -o "pone.0206703.s002.pdf" "https://ndownloader.figshare.com/files/13505636"
curl -L -o "pone.0206703.s003.pdf" "https://ndownloader.figshare.com/files/13505639"

文件清单

  • pone.0206703.s001.pdf(498.92 KB)
  • pone.0206703.s002.pdf(365.60 KB)
  • pone.0206703.s003.pdf(369.88 KB)

文件总体积 1.23 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

Objective
This paper explores the contribution of body-mass index (BMI) categories in shaping past trends of use of healthcare services and associated expenditure in the US and projects results to 2025.
Methods
The study uses Medical Expenditure Panel Survey (MEPS) data for 2000–2012, reweighted on National Health and Nutrition Survey (NHANES) data for 1972–2012 and US Census Bureau data, to carry out projections for up to 2025. A combination of logistic regressions and generalized linear models was used to model use and associated expenditure for the following healthcare services: inpatient care (with/without surgery), office-based care, outpatient-care, drug prescription and home health care. Quantile regressions were used to analyse and project BMI levels.
Results
20.5 million individuals will be severely obese in 2025. Normal-weight and overweight individuals have stable trends in use for many healthcare services. Conversely, use of healthcare services in patients in class II and class III obesity will increase substantially. Total healthcare expenditure increases more quickly in the obese population than in normal-weight individuals.
Conclusions
Class III obesity (BMI≥40 kg/m2) significantly affects demand and expenditure for all healthcare services. Careful healthcare service planning and implementing effective policy actions to counteract such trends is crucial to meet future demand.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0206703(source: https://plos.figshare.com/articles/dataset/Use_of_healthcare_services_and_expenditure_in_the_US_in_2025_The_effect_of_obesity_and_morbid_obesity/7311038)。

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