囊性纤维化中抑郁与焦虑的患病率及影响

该数据集来自 clinicaltrials.gov,主题为囊性纤维化患者中抑郁与焦虑的患病率及其影响。源站描述指出,慢性疾病患者抑郁与焦虑风险升高,大型流行病学研究中医疗人群抑郁率为17%至50%,健康人群为5%至17.5%;Wells等基于社区样本发现慢性内科疾病患者患精神障碍风险增加41%

Assistance Publique - Hôpitaux de ParisAssistance Publique - Hôpitaux de Paris
clinicaltrials
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基因组Cystic Fibrosis
Prevalence and Impact of Depression and Anxiety in Cystic Fibrosis

基本信息

模态
基因组
创建/更新时间
2026-10-12

资源简介

囊性纤维化中抑郁与焦虑的患病率及影响

该数据集来自 clinicaltrials.gov,主题为囊性纤维化患者中抑郁与焦虑的患病率及其影响。源站描述指出,慢性疾病患者抑郁与焦虑风险升高,大型流行病学研究中医疗人群抑郁率为17%至50%,健康人群为5%至17.5%;Wells等基于社区样本发现慢性内科疾病患者患精神障碍风险增加41%。抑郁和焦虑对健康结局有直接和间接影响,抑郁患者治疗依从性更差、更易错过就诊。数据可用于研究囊性纤维化患者心理共病及其与健康结局的关系(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:囊性纤维化。大量研究表明,慢性疾病患者罹患抑郁和焦虑的风险增加。在大型、控制良好的流行病学研究中,医疗人群的抑郁率范围为17%至50%,而健康人群为5%至17.5%。Wells及其同事在一项基于社区的样本报告中得出结论,患有慢性内科疾病的个体患精神障碍的风险也增加41%。在慢性疾病患者中,抑郁和焦虑已被证明对健康结局有直接和间接影响,近期关于肺康复的ATS/ERS共识声明已对此进行讨论。抑郁患者对医疗方案的依从性较差,不太可能遵循饮食方案,更可能取消或错过门诊预约,

【主题与分类】

主题标签:Cystic Fibrosis。本站分类:呼吸系统疾病。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT03424486

官方服务

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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。

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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。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT03424486

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis. Numerous studies have demonstrated that patients with chronic illnesses are at increased risk for depression and anxiety. In large, well-controlled epidemiological studies, rates of depression in medical populations have ranged from 17% to 50% compared to 5% to 17.5% in healthy populations. Reporting on a community-based sample, Wells and colleagues concluded that individuals with a chronic medical condition have a 41% increase in the risk of having a psychiatric disorder as well. In patients with chronic illnesses, depression and anxiety have been shown to have direct and indirect consequences for health outcomes, and this has been addressed in a recent ATS/ERS consensus statement on pulmonary rehabilitation. Depressed patients are less compliant with medical regimens, less likely to follow dietary regimes, more likely to cancel or miss clinic appointments, report worse functioning on several quality of life domains, have increased health care utilization and higher health care costs, and are also more likely to engage in risky behaviors, such as smoking, drinking and drug use. To date, studies of the impact of depression and anxiety in patients with CF have been limited by small samples sizes, samples of convenience that may provide biased estimates of symptom rates, and have used measures that confound symptoms of depression with those of a chronic illness. Given the importance of identifying and treating these symptoms, and their implications for long-term health outcomes, the current study proposes to conduct the first national prevalence study of depression and anxiety in CF patients and parent caregivers. Furthermore, we plan to examine the impact of these psychological symptoms on health outcomes, such as pulmonary exacerbations and nutritional status. 1. Anxiety and Depression are common in Cystic Fibrosis, but their exact prevalence is unknown. Specific Aim 1: To estimate the prevalence of depression and anxiety in patients with CF ages 14 to 17 and parent

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。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。