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

Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
Stress and Mental Health01:30

Stress and Mental Health

Chronic stress profoundly affects mental health, significantly influencing mood, behavior, and overall quality of life. Research closely links chronic stress with mental health conditions such as depression, anxiety, and substance use disorders. Ongoing exposure to stress can lead to physiological and psychological changes, initiating a cycle of emotional distress and maladaptive coping mechanisms.
Individuals with depression often experience challenges in both their personal and professional...
Stress Prevention and Stress Management Techniques IV01:26

Stress Prevention and Stress Management Techniques IV

Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
Introduction to Stress and Lifestyle01:27

Introduction to Stress and Lifestyle

Stress is a multifaceted response to events perceived as challenging or threatening, highlighting physical, emotional, cognitive, and behavioral reactions. Physically, stress can lead to fatigue, sleep disruptions, and various health issues such as frequent colds, chest pains, and nausea. Emotionally, it can manifest as anxiety, depression, irritability, and anger triggered by both minor and major life events. Cognitively, it may result in difficulty in concentration, memory, and...
Physiological Foundation of Stress01:24

Physiological Foundation of Stress

Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
Role of the Sympathetic Nervous System
Adrenaline triggers the...

You might also read

Related Articles

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

Sort by
Same author

Pre-transition nutrition dose and mortality using a CRP-Free operational metabolic transition framework: A MIMIC-IV transportability analysis.

Clinical nutrition ESPEN·2026
Same author

Noradrenaline-trajectory phenotypes in septic shock: derivation and external validation in two independent cohorts.

Intensive care medicine experimental·2026
Same author

Integration of PBL-Informed Medical Cases into First-Year Chemistry Laboratories in a Traditional Medical Curriculum: Perceived Educational Outcomes from NLP-Based Sentiment Analysis.

Advances in medical education and practice·2026
Same author

Comparing manual vs. automated machine learning and deep learning models for predicting one-year mortality in elderly hip fracture patients.

Frontiers in medicine·2026
Same author

Moving from table to graph in physics-informed spatio-temporal symbolic regression.

Scientific reports·2026
Same author

PDE and agent based simulation approaches to Ischemic Dermal Wound Closure.

PloS one·2026

Related Experiment Video

Updated: May 28, 2026

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection Using Survey Data and Predictive

Teddy Lazebnik1,2, Vered Aharonson3,4

  • 1Department of Information Science, University of Haifa, Haifa 3498838, Israel.

Medical Sciences (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

Chronic stress is linked to cancer, but the connection is complex. Our study used machine learning to show that while stress matters, combining it with other factors like genetics improves cancer risk prediction.

Keywords:
computational psychosocial oncologypredictive healthsocio-demographic personalized medicinesurvey-based modeling

More Related Videos

A Mouse Tumor Model of Surgical Stress to Explore the Mechanisms of Postoperative Immunosuppression and Evaluate Novel Perioperative Immunotherapies
13:37

A Mouse Tumor Model of Surgical Stress to Explore the Mechanisms of Postoperative Immunosuppression and Evaluate Novel Perioperative Immunotherapies

Published on: March 12, 2014

Related Experiment Videos

Last Updated: May 28, 2026

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

A Mouse Tumor Model of Surgical Stress to Explore the Mechanisms of Postoperative Immunosuppression and Evaluate Novel Perioperative Immunotherapies
13:37

A Mouse Tumor Model of Surgical Stress to Explore the Mechanisms of Postoperative Immunosuppression and Evaluate Novel Perioperative Immunotherapies

Published on: March 12, 2014

Area of Science:

  • Psychoneuroimmunology
  • Computational Epidemiology
  • Oncology

Background:

  • Chronic stress is suspected to influence cancer development, but direct causal links remain elusive.
  • Psychological factors and their impact on physiological health, particularly cancer, warrant further investigation.
  • Advanced computational methods can elucidate complex relationships between stress and disease.

Purpose of the Study:

  • To investigate the direct association between chronic psychological stress and cancer occurrence using predictive modeling.
  • To explore a potential pathway where immune suppression mediates the relationship between stress and cancer.
  • To assess the predictive power of stress indicators, alone and in conjunction with demographic and genetic factors, for cancer risk.

Main Methods:

  • Development of predictive models using machine learning and causal modeling techniques.
  • Inclusion of variables from self-reported stress indicators, cancer history, and demographic data.
  • Corroboration of model findings with traditional statistical analyses.

Main Results:

  • Significant associations were found between stress frequency, stress level, perceived health impact, and cancer occurrence.
  • Stress indicators alone had limited predictive power for cancer.
  • Integrating socio-demographic data and familial cancer history substantially improved model accuracy.

Conclusions:

  • Cancer risk is multifactorial, with chronic stress being a significant contributing factor alongside genetic predisposition.
  • Chronic stress should be considered a modifiable risk factor for cancer.
  • Findings support integrating stress management into personalized cancer prevention and public health initiatives to reduce cancer incidence.