Using the Multi-Theory Model (MTM) of Health Behavior Change to Explain the Seeking of Stool-Based Tests for Colorectal Cancer Screening
Bibliographic Data
| ID | 15514486 |
|---|---|
| Authors | Manoj Sharma (0000-0002-5310-0748), Maneesh Pandeya (0000-0002-4624-2414, University of Nevada, Las Vegas), Christopher Johansen (0000-0002-7501-0970, University of Nevada, Las Vegas, corresponding author), Kavita Batra (0000-0002-0722-0191, University of Nevada, Las Vegas, corresponding author), Chia‐Liang Dai (0000-0002-2223-8445, University of Nevada, Las Vegas), Ravi Batra (0000-0002-7335-3582, University of Nevada, Las Vegas), Traci Hayes (0000-0002-2447-6148, University of Southern Mississippi), Aditi Singh (0000-0002-9950-6057, University of Nevada, Las Vegas) |
| Year | 2023 |
| Volume | 20 |
| Issue | 16 |
| Pages | 6553-6553 |
| Publication date | 2023-08-10 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20166553 |
| PMID | 37623139 |
| OpenAlex | W4385737638 |
| Language | EN |
| Citations received | 4 |
| References cited | 26 |
Colorectal cancer is the third most common cancer worldwide and is the second leading cause of cancer-associated deaths. While colorectal cancer is on the decline in the United States (US), disparities still exist, despite the non-invasive screening modalities, such as stool-based tests have shown themselves to be effective in the detection of colorectal cancer. Many of the existing stool-based test interventions lack the use of a contemporary theory-based approach. Given the paucity of theory-based interventions intended to promote stool-based tests, this cross-sectional study utilizes the multi-theory model (MTM) of health behavior change to explain the seeking of stool-based tests for colorectal cancer (CRC) screening. An online 57-item questionnaire with an established psychometric validity was used to collect responses from the US-based sample ( n = 640) of adults aged 45-75 years old. The data were analyzed using bivariate and multivariate statistical methods. Structural equation modeling (SEM) was conducted to test the construct validity of the survey instrument. In this nationwide sample, 39.2% ( n = 251) of participants reported having received some form of a stool-based test. Among the participants who did not undergo stool-based CRC screening, the MTM subscales, including "participatory dialogue", "behavioral confidence", and "changes in the social environment", were significant predictors of initiating screening behavior and explained 48% of the variance in the initiation among this group (R 2 = 0.579, F = 5.916, p 2 = 0.481). The MTM may be a useful framework with which to design educational, mass media, social media, and clinical interventions for the promotion of stool-based CRC screening among adults aged 45-75 years old
Bivariate analysis · Cancer · Colorectal cancer · Item response theory · Multivariate analysis · Psychiatry · Psychological intervention · Psychometrics · Statistics · Test (biology · Clinical Psychology · Colorectal Cancer Screening and Detection · Gastric Cancer Management and Outcomes · Genetic factors in colorectal cancer · Medicine · Internal Medicine
Impact of a mobile health intervention based on multi-theory model of health behavior change on self-management in patients with differentiated thyroid cancer
From the perspective of multi-theory model, factors influencing physical activity among community-dwelling older adults with type 2 diabetes in China
A Theory-Based Approach to Predict Stress Relaxation Behavior Among South Asian Americans
Explaining the Correlates of the Multi-Theory Model (MTM) of Health Behavior Change in Visual (Structural) Colorectal Cancer Screening Examinations
Screening for Colorectal Cancer
Screening for Colorectal Cancer
Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes
Cutoff criteria for fit indexes in covariance structure analysis
Global Cancer Statistics 2020
Sample Size Requirements for Structural Equation Models
Multi-Theory Model and Predictors of Likelihood of Accepting the Series of HPV Vaccination
Telephone Outreach to Increase Colorectal Cancer Screening in an Urban Minority Population
| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |