初级保健用户中脂肪堆积指数评估心血管风险的横断面研究数据集

数据集获取（Figshare）

• 源站标题：Cardiovascular risk assessment using the lipid accumulation product index among primary healthcare users: a cross-sectional study
• DOI：10.6084/m9.figshare.20007495.v1
• 发布日期：2022-06-06
• 文件数：4 个
• 文件总体积：26.62 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Cardiovascular_risk_assessment_using_the_lipid_accumulation_product_index_among_primary_healthcare_users_a_cross-sectional_study/20007495

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/35621463"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/35621466"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/35621469"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/35621472"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（9.73 KB）
• Table_4.xls（5.63 KB）

文件总体积 26.62 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

ABSTRACT BACKGROUND: The lipid accumulation product (LAP) index is an abdominal adiposity marker. OBJECTIVE: The aim of this study was to describe the cardiovascular risk of primary healthcare users through the LAP index and correlate it with anthropometric and biochemical indicators. DESIGN AND SETTING: Cross-sectional study in primary care units in a city in northeastern Brazil. METHODS: The subjects responded to a structured questionnaire that contained questions about their sociodemographic condition, and then underwent an anthropometric nutritional assessment. The LAP index values were expressed as three degrees of cardiovascular risk intensity: high risk (above the 75th percentile), moderate risk (between the 25th and 75th percentiles) and low risk (below the 25th percentile). RESULTS: The median LAP index was 52.5 cm.mmol/l (range: 28.2-86.6), and there was no statistically significant difference between the sexes: 57.7 cm.mmol/l (24.5-91.1) and 49.5 cm.mmol/l (29.8-85.2) for females and males, respectively (P = 0.576). Among all the subjects, 67.2% were overweight and there was a statistically significant difference in mean LAP index between those who were and those who were not overweight. Statistically significant differences in anthropometric and biochemical markers for cardiovascular risk were observed among individuals who had higher LAP index values. There were significant correlations between the LAP index and all of the biochemical variables. CONCLUSIONS: These significant correlations between the LAP index and the traditional biochemical risk markers may be useful within conventional clinical practice, for cardiovascular risk screening in primary healthcare.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20007495.v1（source: https://scielo.figshare.com/articles/dataset/Cardiovascular_risk_assessment_using_the_lipid_accumulation_product_index_among_primary_healthcare_users_a_cross-sectional_study/20007495）。