Related Experiment Video
Updated: Jan 26, 2026
12:51
Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
Published on: June 16, 2018
7.9K
Stress among medical students during clinical courses: a longitudinal study using contextual activity sampling system
Tomas Bexelius1, Hanna Lachmann2, Hans Järnbert-Pettersson3
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
International Journal of Medical Education
|April 4, 2019
Summary
Medical students experience stress linked to specific professional roles. Activities like "Scholar" increased stress, while "Health Advocate" reduced it, highlighting areas for educational improvement.
Area of Science:
- Medical Education
- Psychology
- Sociology
Background:
- Medical education involves complex professional roles impacting student well-being.
- Understanding student stress is crucial for effective learning environments.
Purpose of the Study:
- To investigate medical students' stress levels and emotions.
- To analyze the relationship between stress and CanMEDS roles using Contextual Activity Sampling System (CASS).
Main Methods:
- Longitudinal cohort study of 74 medical students.
- Utilized Contextual Activity Sampling System (CASS) with mobile technology for data collection.
- Employed linear mixed-model regression to analyze stress associations with learning activities and demographics.
Main Results:
- Mean stress level was 3.6, peaking during scientific project terms.
- Activities related to 'Communicator,' 'Collaborator,' 'Scholar,' 'Manager,' and 'Professional' roles increased stress.
- 'Health Advocate' role was associated with reduced stress; no demographic links to stress were found.
Conclusions:
- Specific learning activities within CanMEDS roles are associated with medical student stress.
- Contextual Activity Sampling System (CASS) is effective for observing learning experiences and identifying stress-related activities.
- Findings can inform educational development to mitigate student stress.
Related Concept Videos
02:20Longitudinal Research
13.2K
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...
13.2K
01:26Longitudinal Studies
494
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...
494
01:31Student t Distribution
13.6K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
The Student t distribution was developed by William S. Goset (1876–1937) of the...
13.6K
01:25Microsoft Excel: Student's t-Test
1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
01:09Comparing Experimental Results: Student's t-Test
5.3K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.3K
01:21Aneurysm II: Clinical Manifestations and Diagnostic Studies
334
Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
334