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

8.2K
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...
8.2K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

9.9K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.9K
Cancer02:18

Cancer

55.0K
Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
55.0K
Cancer Survival Analysis01:21

Cancer Survival Analysis

797
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...
797
Cancer Vaccines01:30

Cancer Vaccines

1.2K
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
1.2K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

11.6K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
11.6K

You might also read

Related Articles

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

Sort by
Same author

Exploring Inflation-Related Public Discourse Relevant to Social Determinants of Health Using Social Media Data.

International journal of environmental research and public health·2026
Same author

Interpretable machine learning for rare events: an inverse probability weighted application to understanding glucagon-like peptide-1 receptor agonists use and incident alcohol-related disorder.

Alcohol and alcoholism (Oxford, Oxfordshire)·2026
Same author

AI-Driven Speech Analysis for Mental Health Prediction in Individuals with Voice Disorders.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Accuracy of diagnostic codes to identify metastatic prostate cancer in medicare claims database.

Cancer epidemiology·2026
Same author

Predicting Anticipated Telehealth Use: Development of the CONTEST Score and Machine Learning Models Using a National U.S. Survey.

Healthcare (Basel, Switzerland)·2026
Same author

Association of Combined Marijuana and Opioid Use with Major Depressive Disorder Among Adults with Chronic Conditions in the United States.

Substance use : research and treatment·2026

Related Experiment Video

Updated: Feb 27, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

953

Colon Cancer Worry in Appalachia.

Omar F Attarabeen1, Usha Sambamoorthi2, Kevin T Larkin3

  • 1Department of Pharmacy Practice, Administration, & Research, Marshall University, Coon Education Building, One John Marshall Drive, Huntington, WV, 25755, USA.

Journal of Community Health
|July 8, 2017
PubMed
Summary

Colon cancer worry is common in Appalachian women, linked to perceived risk and anxiety, not screening adherence. Understanding these fears is crucial for targeted interventions in high-risk populations.

Keywords:
Appalachian regionColon cancerPerceived riskRural healthWorry

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

777
Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.8K

Related Experiment Videos

Last Updated: Feb 27, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

953
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

777
Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.8K

Area of Science:

  • Oncology
  • Public Health
  • Health Psychology

Background:

  • Appalachia exhibits higher colon cancer (CC) incidence and mortality rates compared to other US regions.
  • Understanding factors influencing cancer worry is critical for addressing health disparities.

Purpose of the Study:

  • To investigate the association between demographic, cultural, and psychological factors and colon cancer worry among Appalachian women.
  • To explore the lived experiences and fears related to colon cancer in this population.

Main Methods:

  • A mixed-methods approach combining quantitative surveys (n=134) and qualitative semi-structured interviews (n=24).
  • Quantitative analysis using logistic regression to determine odds ratios.
  • Qualitative analysis employing immersion/crystallization for thematic identification.

Main Results:

  • 45% of participants reported some level of colon cancer worry.
  • CC worry was significantly associated with higher education, perceived risk, general anxiety, and awareness of healthcare access.
  • No association was found between CC worry and adherence to CC screening guidelines.

Conclusions:

  • Colon cancer worry is prevalent in Appalachian women and is associated with heightened risk perception and anxiety.
  • Fears surrounding CC screening include potential disfigurement and burdening family.
  • The findings highlight the need for culturally sensitive interventions addressing CC worry, irrespective of screening adherence.