Predictors of home radon testing and implications for testing promotion programs
1Department of Human Ecology, Rutgers-State University of New Jersey.
Health Education Quarterly
|January 1, 1993
Summary
Understanding home radon testing behavior is key to public health. Knowledge and social influence drive initial consideration, while perceived risk and practical barriers influence actual testing for radon.
Area of Science:
- Environmental Health
- Health Behavior Research
- Public Health
Background:
- Radon is a leading cause of lung cancer.
- Home radon testing is crucial for mitigating exposure.
- Understanding factors influencing testing behavior is vital for public health interventions.
Purpose of the Study:
- To identify predictors of home radon testing behavior.
- To examine these predictors within a stage model of behavior change.
- To inform the design of effective radon outreach programs.
Main Methods:
- Analysis of four datasets totaling 3,329 participants.
- Interpretation of data using a stage model of radon testing behavior.
- Identification of variables predicting transitions between stages of testing behavior.
Main Results:
- General radon knowledge and social influence predict initial consideration of testing.
- Perceived likelihood of a home radon problem predicts the decision to test.
- Situational factors, like test kit accessibility, present the final barrier to testing.
Conclusions:
- Predictors of radon testing behavior evolve across different stages of the decision-making process.
- Targeted outreach strategies addressing specific stage-based barriers can improve testing rates.
- Addressing practical challenges in accessing test kits is essential for increasing home radon testing.
More Related Videos
14:43A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
09:33Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
Published on: December 23, 2022
Related Concept Videos
01:52Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
01:26Levels of Health Promotion and Illness Prevention
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
01:25Models of Health Promotion and Illness Prevention I
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...
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
01:12What is an Experiment?
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...