淋巴水肿相关短视频健康信息可靠性与质量横断面研究数据表
汇总111条中国短视频平台淋巴水肿诊疗信息,含视频来源、互动数据及两名外科医生对内容全面性、质量和可靠性的评分。

基本信息
资源简介
淋巴水肿相关短视频健康信息可靠性与质量横断面研究数据表
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 18.06 KB,主题涵盖 lymphedema、information quality、social media、short videos、TikTok,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx》。配套论文《The Reliability and Quality of Short Videos as a Source of Dietary Guidance for Inflammatory Bowel Disease: Cross-sectional Study》发表于 Journal of Medical Internet Research(2023),DOI:10.2196/41518。源站首次发布:2025-01-03。
【数据内容】
源站原始描述:BackgroundThe prevalence of lymphedema is rising, necessitating accurate diagnostic and treatment information for affected patients. Short video-sharing platforms facilitate access to such information but require validation regarding the reliability and quality of the content presented. This study aimed to assess the reliability and quality of lymphedema-related information on Chinese short video-sharing platforms. MethodsWe collected 111 video samples addressing the diagnosis and treatment of l…
【数据结构与技术规格】
文件数 1 个,合计 18.06 KB。Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,18.06 KB。数据集 DOI:10.3389/fpubh.2024.1472583.s001。
【主题与分类】
源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:lymphedema、information quality、social media、short videos、TikTok。
【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://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_reliability_and_quality_of_short_videos_as_health_information_of_guidance_for_lymphedema_a_cross-sectional_study_xlsx/28128872
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Zhou, Xuchuan; Ma, Gejia; Su, Xuefeng; Li, Xinyi; Wang, Wenfei; Xia, Linxi; et al. (2025). Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx. Frontiers. Dataset
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)
- 源站标题:Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx
- DOI:10.3389/fpubh.2024.1472583.s001
- 发布日期:2025-01-03
- 文件数:1 个
- 文件总体积:18.06 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_reliability_and_quality_of_short_videos_as_health_information_of_guidance_for_lymphedema_a_cross-sectional_study_xlsx/28128872
命令行下载
curl -L -o "Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx" "https://ndownloader.figshare.com/files/51460256"
文件清单
Data Sheet 1_The reliability and quality of short videos as health information of guidance for lymphedema: a cross-sectional study.xlsx(18.06 KB)
文件总体积 18.06 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
BackgroundThe prevalence of lymphedema is rising, necessitating accurate diagnostic and treatment information for affected patients. Short video-sharing platforms facilitate access to such information but require validation regarding the reliability and quality of the content presented. This study aimed to assess the reliability and quality of lymphedema-related information on Chinese short video-sharing platforms.
MethodsWe collected 111 video samples addressing the diagnosis and treatment of lymphedema from four platforms: TikTok, Bilibili, WeChat, and Microblog. Two independent surgeons evaluated each video for content comprehensiveness, quality (using the Global Quality Score), and reliability (using the modified DISCERN tool). The videos from different sources were subsequently compared and analyzed.
ResultsOut of 111 videos analyzed, 66 (59.46%) were uploaded by medical professionals, including breast surgeons, vascular surgeons, plastic surgeons, physical therapists, and gynecologists, while 45 (40.54%) were shared by non-medical professionals such as science bloggers, medical institutions, and lymphedema patients. Patient-uploaded videos received the highest engagement, with median likes of 2,257 (IQR: 246.25–10998.25) and favorites of 399 (IQR: 94.5–1794.75). 13 videos (11.71%) contained inaccuracies. Medical professionals’ videos generally showed higher content comprehensiveness, particularly those by plastic surgeons, compared to non-medical professionals. The GQS and modified DISCERN tool were used to assess video quality and reliability respectively, with medical professionals scoring higher on both metrics (z = 3.127, p = 0.002; z = 2.010, p = 0.044). The quality and reliability of recommendations provided by plastic surgeons surpassed that of other medical professionals (χ2 = 16.196, p = 0.003; χ2 = 9.700, p = 0.046). No significant differences in video quality and reliability were found among the three categories of non-medical professionals (χ2 = 3.491, p = 0.175; χ2 = 2.098, p = 0.350).
ConclusionOur study shows that lymphedema-related videos on short video platforms vary widely in quality. Videos by medical professionals are generally more acc
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2024.1472583.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_The_reliability_and_quality_of_short_videos_as_health_information_of_guidance_for_lymphedema_a_cross-sectional_study_xlsx/28128872)。
数据缺失?
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