体重指数与近视关联:NHANES和孟德尔随机化结果
基于NHANES调查数据和GWAS汇总统计,通过观察性研究和孟德尔随机化分析体重指数与近视的关联。

基本信息
资源简介
体重指数与近视关联:NHANES和孟德尔随机化结果
【一句话概览】
本数据集是 figshare 公开的多模态数据集,收录 2 个文件、合计 37.46 MB,主题涵盖 Body mass index、Mendelian randomization、myopia、NHANES、obesity,可用于跨模态对齐与融合建模研究,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Association Between Body Mass Index and Myopia: Results from NHANES and Mendelian Randomization》。配套论文《Association Between Body Mass Index and Myopia: Results from NHANES and Mendelian Randomization》发表于 Ophthalmic Epidemiology(2025),DOI:10.1080/09286586.2025.2483684。项目资助方:This study was supported by the National Nature Science Foundation of China [No. 82073671], the Leading Talents of Public Health in Shanghai [No. GWV-10.2-XD22], the Excellent Young Scholars of Public Health in Shanghai [No. GWV-10.2-YQ33], Shanghai Industrial collaborative innovation project [2021-cyxt1-kj10], Shanghai Emerging Cross disciplinary Research Project [2022JC011], Research topic of the Professional Committee of Drug Clinical Evaluation Research, Chinese Pharmaceutical Association [CPA-CDCER-2021-001].。源站首次发布:2025-05-05。
【数据内容】
源站原始描述:Purpose: Previous studies have shown a conflicting association between body mass index and myopia. This study aimed to analyze the possible association between Body Mass Index (BMI) and myopia in the observational design and genetic evidence. Methods: In the observational investigation, 5,710 participants (12–25 years) from the 2001–2006 National Health and Nutrition Examination Survey (NHANES) were included. Weighted logistic regression models, restricted cubic spline (RCS) and stratified analy…
【数据结构与技术规格】
文件数 2 个,合计 37.46 MB。iope_a_2483684_sm9847.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,28.40 KB。数据集 DOI:10.6084/m9.figshare.28930451.v1。
【主题与分类】
源站学科分类:Biotechnology、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Mathematical Sciences not elsewhere classified、Science Policy。主题标签:Body mass index、Mendelian randomization、myopia、NHANES、obesity。
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Association_Between_Body_Mass_Index_and_Myopia_Results_from_NHANES_and_Mendelian_Randomization/28930451
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Association Between Body Mass Index and Myopia: Results from NHANES and Mendelian Randomization. Taylor & Francis. Bai, Wang-Yang; Zhang, He-Wei; Ye, Xiao-Fei; Xu, Jin-Fang; Guo, Xiao-Jing; He, Jia
【使用注意】
· 源站最后修改于 2026-03-09,引用时请注意版本时效。
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:Association Between Body Mass Index and Myopia: Results from NHANES and Mendelian Randomization
- DOI:10.6084/m9.figshare.28930451.v1
- 发布日期:2025-05-05
- 文件数:2 个
- 文件总体积:37.46 MB
- 源站页面:https://tandf.figshare.com/articles/dataset/Association_Between_Body_Mass_Index_and_Myopia_Results_from_NHANES_and_Mendelian_Randomization/28930451
命令行下载
curl -L -o "iope_a_2483684_sm9847.docx" "https://ndownloader.figshare.com/files/54194603"
curl -L -o "iope_a_2483684_sm9846.tif" "https://ndownloader.figshare.com/files/54194606"
文件清单
iope_a_2483684_sm9847.docx(28.40 KB)iope_a_2483684_sm9846.tif(37.44 MB)
文件总体积 37.46 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
Purpose: Previous studies have shown a conflicting association between body mass index and myopia. This study aimed to analyze the possible association between Body Mass Index (BMI) and myopia in the observational design and genetic evidence.
Methods: In the observational investigation, 5,710 participants (12–25 years) from the 2001–2006 National Health and Nutrition Examination Survey (NHANES) were included. Weighted logistic regression models, restricted cubic spline (RCS) and stratified analysis were conducted in the NHANES. A two-sample Mendelian Randomization (MR) study using Genome-Wide Association Studies (GWAS) summary statistics and GWAS catalog was performed. The inverse-variance weighted (IVW) method was used as the main analysis method, and the sensitivity analysis was performed to detect pleiotropy and heterogeneity bias.
Results: In the fully adjusted model, individuals with obesity had a higher risk of myopia [OR = 1.253, 95% CI= (1.049, 1.496), p = 0.014] and mild and moderate myopia [OR = 1.305, 95% CI= (1.094, 1.558), p = 0.004]. BMI was correlated with refractive spherical equivalent and showed a linear relationship (P for nonlinearity = 0.468, p = 0.002,β=-0.016). In males, obesity had an association with myopia, while there was no statistical significance in females. In the subgroup with an education level of Conclusions: This study suggests that the associations between BMI and the risk of myopia differ based on gender and education levels in an observational study, while there are no associations in genetic evidence.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.28930451.v1(source: https://tandf.figshare.com/articles/dataset/Association_Between_Body_Mass_Index_and_Myopia_Results_from_NHANES_and_Mendelian_Randomization/28930451)。
数据缺失?
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