相关实验视频
Updated: Jun 30, 2025

08:39
A Murine Model of Hemodialysis Access-Related Hand Dysfunction
Published on: May 31, 2022
1.7K
在上海接受维护血液透析的个体中发现益处:潜伏型分析分析
Jie Yang1, Yong-Qi Li1, Yan-Lin Gong1
1School of Nursing, Naval Medical University, Shanghai, China.
Frontiers in psychology
|March 19, 2024
概括
在维护血液透析患者中发现的好处有所不同,积极的应对和社会支持是关键. 定制的干预措施可以改善这些人的心理健康和生活质量.
科学领域:
- 心理学 心理学 心理学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 维护血液透析 (MHD) 为患者带来了重大的心理挑战.
- 福利发现 (BF) 是一个关键的适应过程,影响慢性疾病中的精神健康.
- 了解MHD患者的BF概况对于有针对性的支持至关重要.
研究的目的:
- 在上海接受维护血液透析 (MHD) 的个人中识别好处发现 (BF) 的明显隐藏配置文件.
- 检查这些BF个人资料,感知到的社会支持和应对方式之间的关联.
- 探索与不同BF水平相关的人口因素.
主要方法:
- 一项涉及384名MHD患者的多中心横截面研究.
- 使用的福利发现量表,简化应对风格问卷和感知到的社会支持量表.
- 隐形形状分析 (LPA) 用于BF分类,使用ANOVA和回归对关联.
主要成果:
- 确定了三个BF概况:富有的BF (54.17%),中等的BF (41.14%),和贫穷的BF (4.69%).
- 积极的应对策略和社会支持显著预测了更高的BF.
- 年龄较大和对MHD的更好理解与益处发现的增加相关.
结论:
- 在MHD患者中识别不同的BF概况至关重要.
- 干预措施应在更高的群体中促进BF,并解决贫困BF群体的挑战.
- 量身定制的心理支持可以提高MHD患者的心理健康和生活质量.
更多相关视频
09:21Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
Published on: July 7, 2023
1.5K
06:52Assessment of Dependence in Activities of Daily Living Among Older Patients in an Acute Care Unit
Published on: September 30, 2020
9.8K
相关概念视频
Kaplan-Meier Approach
136
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
136
Comparing the Survival Analysis of Two or More Groups
183
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
183