季节大气压力变化与偏头痛发病关联研究数据表

数据集获取（Figshare）

• 源站标题：Table 1_Association between seasons with substantial atmospheric pressure change and migraine occurrence: a retrospective cohort study using Japanese claims data and meteorological data.docx
• DOI：10.3389/fneur.2025.1600822.s001
• 发布日期：2025-09-11
• 文件数：1 个
• 文件总体积：60.56 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Association_between_seasons_with_substantial_atmospheric_pressure_change_and_migraine_occurrence_a_retrospective_cohort_study_using_Japanese_claims_data_and_meteorological_data_docx/30102304

命令行下载

curl -L -o "Table 1_Association between seasons with substantial atmospheric pressure change and migraine occurrence: a retrospective cohort study using Japanese .docx" "https://ndownloader.figshare.com/files/57851971"

文件清单

• Table 1_Association between seasons with substantial atmospheric pressure change and migraine occurrence: a retrospective cohort study using Japanese .docx（60.56 KB）

文件总体积 60.56 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

BackgroundThis study investigated the impact of seasons with substantial atmospheric pressure change on the occurrence of migraine using large-scale data from a Japanese health insurance claims database matched with meteorological data.
MethodsThis retrospective cohort study used JMDC Claims Data and national meteorological data from Japan. Patients with a diagnostic record of migraine were included and categorized into eight regional subgroups based on the location of the healthcare facility at which they were initially diagnosed with migraine. The time to migraine occurrence, defined as the duration from the first day of each season to the prescription of triptans, was compared between the seasons with the highest and lowest atmospheric pressure change.
ResultsA total of 26,777 individuals were included in this study. Summer showed the lowest atmospheric pressure change across all eight regions. Conversely, winter showed the highest atmospheric pressure change in seven regions, while autumn showed the highest change in one region. No differences were observed in survival curves between the seasons with the highest and lowest atmospheric pressure change in any region. In Cox regression analysis, hazard ratio for the season with the highest atmospheric pressure change was 0.970 (95% CI: 0.951–0.989) in the minimally adjusted model, which included sex and age. Conversely, the fully adjusted model, which incorporated eight covariates, indicated a hazard ratio of 1.294 (95% CI: 1.007–1.663) for the season with the highest atmospheric pressure change.
ConclusionThis study, using a large Japanese administrative claims database, did not identify a significant association between seasons with substantial atmospheric pressure change and migraine occurrence. Future research should consider examining more granular residential data, beyond the prefecture level, for a more detailed analysis.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2025.1600822.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Association_between_seasons_with_substantial_atmospheric_pressure_change_and_migraine_occurrence_a_retrospective_cohort_study_using_Japanese_claims_data_and_meteorological_data_docx/30102304）。