Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Prevention02:59

Cancer Prevention

7.5K
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...
7.5K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.9K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
1.9K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.6K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.6K
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

3.6K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.6K
Cancer Survival Analysis01:21

Cancer Survival Analysis

590
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...
590
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

6.8K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
6.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Age-related prognoses in a Luxembourgish breast cancer cohort.

Frontiers in oncology·2026
Same author

More time spent in moderate-to-vigorous physical activity and sleep is associated with a lower incidence of hip or knee osteoarthritis.

BMJ open sport & exercise medicine·2026
Same author

Mapping Digital Nudges and Recommender Systems for Obesity Prevention: Scoping Review.

Interactive journal of medical research·2026
Same author

Empowering healthy lifestyle behaviour through personalised intervention portfolios using a healthy lifestyle recommender system to prevent and control obesity in older adults: pilot study protocols from the HealthyW8 project.

BMJ open·2026
Same author

Heart failure etiology and lipoprotein subfractions: Insight from the SMARTEX-HF study.

International journal of cardiology. Heart & vasculature·2026
Same author

Neural basis of attentional deployment in affective forecasting of hypothetical medication outcome trade-offs.

Cerebral cortex (New York, N.Y. : 1991)·2026

Related Experiment Video

Updated: Dec 25, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

7.0K

Motivational Interviewing to Increase Physical Activity Behavior in Cancer Patients: A Pilot Randomized Controlled

Alexis Lion1,2,3, Anne Backes3, Caroline Duhem4

  • 1Fédération Luxembourgeoise des Associations de Sport de Santé, Strassen, Luxembourg.

Integrative Cancer Therapies
|March 24, 2020
PubMed
Summary

This pilot study found motivational interviewing (MI) had low recruitment and compliance in cancer patients, preventing conclusions on its effectiveness for increasing physical activity (PA). Future trials need to account for patient disinterest and high attrition rates.

Keywords:
accelerometrycancerfitnessmotivationphysical activity

More Related Videos

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
07:22

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer

Published on: February 20, 2020

6.1K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.7K

Related Experiment Videos

Last Updated: Dec 25, 2025

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

7.0K
Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer
07:22

Measuring the Motor Aspect of Cancer-Related Fatigue using a Handheld Dynamometer

Published on: February 20, 2020

6.1K
E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
06:28

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

Published on: August 1, 2019

8.7K

Area of Science:

  • Oncology
  • Behavioral Science
  • Clinical Trials

Background:

  • Physical activity (PA) is crucial for cancer patient recovery and well-being.
  • Motivational interviewing (MI) is a potential strategy to enhance PA behaviors.
  • Evidence for MI's effectiveness in cancer survivors remains limited.

Purpose of the Study:

  • To assess the feasibility and potential efficacy of an MI intervention for increasing PA in cancer patients.
  • To evaluate recruitment, acceptability, and PA behavior changes.

Main Methods:

  • Pilot randomized controlled trial (RCT) comparing standard care plus MI to standard care alone.
  • 12 MI sessions delivered over 12 weeks.
  • Feasibility assessed by recruitment numbers and attrition rates; efficacy by PA behavior analysis.

Main Results:

  • Low recruitment rate (1.6 participants/month) over 16 months.
  • High attrition in the experimental group (38.5%) versus the control group (8.3%).
  • No significant group by time interaction effect on PA behavior observed.

Conclusions:

  • Low recruitment and compliance precluded definitive conclusions on MI efficacy for PA in cancer patients.
  • Current literature lacks evidence supporting MI effectiveness for PA in cancer survivors.
  • Future RCTs must anticipate significant patient disinterest (up to 60%) and high attrition (30-40% overrecruitment recommended).