S2 Data
加纳阿克拉糖尿病自我管理教育干预研究数据集,包含425名患者的定量数据和定性访谈,探讨自我管理知识与行为关系。

基本信息
资源简介
S2 Data
【一句话概览】
本数据集是 figshare 公开的多模态数据集,收录 1 个文件、合计 4.08 MB,主题涵盖 multivariable regression models、informants &# 8217、convergent parallel mixed、4 )) participated、05 ]), exercise,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《S2 Data -》。源站首次发布:2023-07-14。
【数据内容】
源站原始描述:Introduction Diabetes is largely a self-managed disease; thus, care outcomes are closely linked to self-management behaviours. Structured self-management education (DSME) interventions are, however, largely unavailable in Africa. Aim We sought to characterise DSME interventions in two urban low-resource primary settings; and to explore diabetes self-management knowledge and behaviours, of persons living with diabetes (PLD). Research design and methods A convergent parallel mixed-methods study wa…
【数据结构与技术规格】
文件数 1 个,合计 4.08 MB。pone.0286974.s019.nvpx:application/octet-stream,4.08 MB。数据集 DOI:10.1371/journal.pone.0286974.s019。
【主题与分类】
源站学科分类:Science Policy、Infectious Diseases、Virology。主题标签:multivariable regression models、informants &# 8217、convergent parallel mixed、4 )) participated、05 ]), exercise、sd 12 ),、mean blood glucose、themes underpinning self、16 pld participated、two diabetes experts。
【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://plos.figshare.com/articles/dataset/S2_Data_-/23687453
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Lamptey, Roberta; Amoakoh-Coleman, Mary; Djobalar, Babbel; Grobbee, Diederick E.; Adjei, George Obeng; Klipstein-Grobusch, Kerstin (2023). S2 Data -. PLOS ONE. 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:S2 Data -
- DOI:10.1371/journal.pone.0286974.s019
- 发布日期:2023-07-14
- 文件数:1 个
- 文件总体积:4.08 MB
- 源站页面:https://plos.figshare.com/articles/dataset/S2_Data_-/23687453
命令行下载
curl -L -o "pone.0286974.s019.nvpx" "https://ndownloader.figshare.com/files/41568268"
文件清单
pone.0286974.s019.nvpx(4.08 MB)
文件总体积 4.08 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
Introduction
Diabetes is largely a self-managed disease; thus, care outcomes are closely linked to self-management behaviours. Structured self-management education (DSME) interventions are, however, largely unavailable in Africa.
Aim
We sought to characterise DSME interventions in two urban low-resource primary settings; and to explore diabetes self-management knowledge and behaviours, of persons living with diabetes (PLD).
Research design and methods
A convergent parallel mixed-methods study was conducted between January and February 2021 in Accra, Ghana. The sampling methods used for selecting participants were total enumeration, consecutive sampling, purposive and judgemental sampling. Multivariable regression models were used to study the association between diabetes self-management knowledge and behaviours. We employed inductive content analysis of informants’ experiences and context, to complement the quantitative findings.
Results
In total, 425 PLD (70.1% (n = 298) females, mean age 58 years (SD 12), with a mean blood glucose of 9.4 mmol/l (SD 6.4)) participated in the quantitative study. Two managers, five professionals, two diabetes experts and 16 PLD participated in in-depth interviews. Finally, 24 PLD were involved in four focus group discussions. The median diabetes self-management knowledge score was 40% ((IQR 20–60). For every one unit increase in diabetes self-management knowledge, there were corresponding increases in the diet (5%;[95% CI: 2%-9%, p0.05]), exercise (5%; [95% CI:2%-8%, ppConclusions
The DSME interventions studied were under-resourced, and unstructured. Diabetes self-management knowledge though limited, was associated with self-management behaviour. DSME interventions in low resource settings should be culturally tailored and should incorporate sessions on mitigating financial constraints. Future studies should focus on creating structured DSME interventions suited to resource-constrained settings.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0286974.s019(source: https://plos.figshare.com/articles/dataset/S2_Data_-/23687453)。
数据缺失?
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