Related Experiment Video
Updated: Jan 6, 2026
05:59
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
7.1K
Association between physical activity and all-cause mortality: A 15-year follow-up using a compositional data
Philip von Rosen1, Ing-Mari Dohrn2, Maria Hagströmer1,3,4
1Division of Physiotherapy, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, Huddinge, Sweden.
Scandinavian Journal of Medicine & Science in Sports
|October 4, 2019
Summary
Replacing sedentary behavior (SB) with light or moderate-to-vigorous physical activity (MVPA) reduces mortality risk. Prioritizing MVPA over SB is crucial for public health, especially for those with limited MVPA time.
Area of Science:
- Public Health
- Epidemiology
- Biostatistics
Background:
- Understanding the relationship between daily movement behavior composition and mortality is crucial.
- Previous research has not fully explored the compositional nature of time-use data in relation to mortality risk.
Purpose of the Study:
- To investigate the association between the composition of time spent in sedentary behaviors (SB), light intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) and all-cause mortality.
- To analyze mortality risk using compositional data analysis on objectively measured physical activity.
Main Methods:
- Utilized data from 851 participants (56% women, mean age 53 years) with 15-year follow-up.
- Employed ActiGraph accelerometers for objective physical activity assessment.
- Applied compositional data analysis and Cox regression to estimate hazard ratios (HR) for mortality.
Main Results:
- A significant positive association was found between time in SB relative to other behaviors and all-cause mortality (P < .001).
- A significant negative association was observed between time in LIPA relative to other behaviors and all-cause mortality (P = .018).
- Replacing 20 minutes of LIPA or MVPA with SB increased mortality hazard, with a greater effect for MVPA (HR 1.26) than LIPA (HR 1.06).
Conclusions:
- Substituting sedentary behavior with light or moderate-to-vigorous physical activity is recommended to reduce all-cause mortality.
- For individuals with minimal MVPA, maintaining existing MVPA is a key public health message.
- Compositional data analysis provides valuable insights into the complex interplay of movement behaviors and health outcomes.
Related Concept Videos
01:20Lifestyle Factors and Health
393
Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
393
01:20Actuarial Approach
274
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
274
01:15Assumptions of Survival Analysis
375
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
375
01:20Comparing the Survival Analysis of Two or More Groups
525
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...
525
01:21Cancer Survival Analysis
624
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
624
02:59Cancer Prevention
7.6K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
7.6K