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相关概念视频

Longitudinal Research02:20

Longitudinal Research

12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal Studies01:26

Longitudinal Studies

191
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Dimensions of Health and Illness01:21

Dimensions of Health and Illness

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The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.5K
Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Factors Affecting Illness01:18

Factors Affecting Illness

4.3K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
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Functional Classification of Joints01:09

Functional Classification of Joints

4.2K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
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相关实验视频

Updated: Jul 25, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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一个多维的纵向数据集功能性体力综合征.

Peyman Adibi1, Simindokht Kalani2, Alireza Ani3

  • 1Isfahan Gastroenterology and Hepatology Research Center, Isfahan University of medical sciences, Isfahan, Iran.

Data in brief
|June 29, 2023
PubMed
概括

这项研究提供了功能性体征综合征的全面数据集,探索了成人生活方式和心理健康等因素. 这些数据有助于研究人员了解这些普遍的疾病.

关键词:
队列概况 队列概况 队列概况功能性体力综合征是什么现象学 是一种现象学.

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科学领域:

  • 多学科研究多学科研究.
  • 卫生科学 卫生科学
  • 数据科学是数据科学.

背景情况:

  • 功能障碍很常见,影响个人和医疗保健系统.
  • 了解功能性体征综合征的多因素性质至关重要.
  • 现有研究需要全面的纵向数据,以获得更深入的见解.

研究的目的:

  • 为研究功能性体征综合征提供一个多学科数据集.
  • 促进对导致这些疾病的因素相互作用的研究.
  • 为研究人员,政策制定者和临床医生提供宝贵的资源.

主要方法:

  • 纵向研究设计,随访时间为四年.
  • 包括各种数据类型:症状,心理,生活方式,人口统计,实验室,临床和历史数据.
  • 数据来自伊朗伊斯法罕市一大群看似健康的成年人 (18-65岁) 收集的.
  • 随机选择和参与者的监测.

主要成果:

  • 一个包含1930名参与者在基线 (2017) 的数据集.
  • 从1697 (2018年),1616 (2019年) 和1176 (2020年) 的参与者收集的后续数据.
  • 涵盖与功能障碍相关的多个领域的全面数据.

结论:

  • 该数据集为分析功能性体征综合征提供了坚实的基础.
  • 能够探索影响这些普遍健康问题的复杂相互作用.
  • 支持基于证据的卫生保健政策和临床实践策略.