Predicting women's intentions to screen for breast cancer based on the health belief model and the theory of planned behavior

2019 ◽  
Vol 45 (12) ◽  
pp. 2440-2451 ◽  
Author(s):  
Xinbo Wang ◽  
Dandan Chen ◽  
Tingting Xie ◽  
Wei Zhang
Keyword(s):  
Breast Cancer ◽  
Theory Of Planned Behavior ◽  
Health Belief Model ◽  
Planned Behavior ◽  
Health Belief ◽  
Belief Model ◽  
The Health Belief Model

Predicting Student Intention to Wear a Mask to Avoid Contracting COVID-19

2021 ◽  
Vol 65 (1) ◽  
pp. 179-183
Author(s):  
Karim Zahed ◽  
Kianna Arthur ◽  
Solangia Engler ◽  
Farzan Sasangohar ◽  
Rachel Smallman ◽  
...  
Keyword(s):  
Theory Of Planned Behavior ◽  
Health Belief Model ◽  
Planned Behavior ◽  
Transtheoretical Model ◽  
Negative Relationship ◽  
Health Belief ◽  
Belief Model ◽  
Recommended Guidelines ◽  
The Health Belief Model ◽  
Answering Questions

With governments having enforced mask mandates and stressing the importance of wearing masks to avoid contracting COVID-19, still many individuals do not properly adhere to recommended guidelines. To investigate factors influencing why individuals engage in wearing masks, 578 participants at a university in the southern United States completed a survey, answering questions related to various behavioral change theories, including the Health Belief Model, the Theory of Planned Behavior, and the Transtheoretical Model. Intention was rated high and was positively correlated with Subjective Norms and Self Efficacy. However perceived benefits of wearing a mask and perceived susceptibility were rated low indicating that benefits and susceptibility did not influence intention. The SEM model showed that benefits actually had a negative relationship with intention, whereas susceptibility had no significant relationship. Integrating constructs from the Health Belief Model and the Theory of Planned Behavior increased variance predicted of Intention to wear a mask to 56%.

scholarly journals Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liora Shmueli
Keyword(s):  
Theory Of Planned Behavior ◽  
Influenza Vaccine ◽  
Health Belief Model ◽  
Planned Behavior ◽  
Health Belief ◽  
The Public ◽  
Health Related ◽  
Belief Model ◽  
To Receive ◽  
The Health Belief Model

Abstract Background This study aim to explore the intentions, motivators and barriers of the general public to vaccinate against COVID-19, using both the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model. Methods An online survey was conducted among Israeli adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to HBM and TPB dimensions, and intention to receive a COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses. Results Eighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB predictor variables as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R squared = 0.78). Men (OR = 4.35, 95% CI 1.58–11.93), educated respondents (OR = 3.54, 95% CI 1.44–8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR = 3.31, 95% CI 1.22–9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR = 4.49, 95% CI 2.79–7.22), of perceived severity of COVID-19 infection (OR = 2.36, 95% CI 1.58–3.51) and of cues to action (OR = 1.99, 95% CI 1.38–2.87), according to HBM, and if they reported higher levels of subjective norms (OR = 3.04, 95% CI 2.15–4.30) and self-efficacy (OR = 2.05, 95% CI 1.54–2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine. Conclusions Providing data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.

scholarly journals Predictors of COVID-19 vaccine intentions in the United States: the role of psychosocial health constructs and demographic factors

2021 ◽  
Author(s):  
Michael B Berg ◽  
Linda Lin
Keyword(s):  
Theory Of Planned Behavior ◽  
Health Belief Model ◽  
Planned Behavior ◽  
Health Belief ◽  
Demographic Factors ◽  
Psychosocial Health ◽  
Subjective Norms ◽  
Approval Process ◽  
Belief Model ◽  
The Health Belief Model

Abstract Background On December 21, 2020, a study was conducted to investigate a range of psychosocial health constructs and demographic variables potentially associated with intentions toward accepting or forgoing the coronavirus (COVID-19) vaccine. Purpose The goal of the study was to identify predictors of forgoing COVID-19 vaccination at the time of the initial rollout. Methods A cross-sectional, representative online survey of 350 U.S. residents was conducted using the online crowdsourcing site Prolific to assess vaccine intentions, health attitudes, and demographic information. Variables examined included demographic factors and health constructs corresponding to each of the elements of the health belief model (perceived severity, susceptibility, benefits, barriers, and cues to action), the theory of planned behavior (attitudes, subjective norms, and perceived behavioral control), attitudes toward vaccines in general, and trust in the COVID-19 vaccine approval process. Results After using hierarchical linear regression to control for demographics, the health constructs uniquely associated with the likelihood to forgo vaccination were perceived barriers, general attitudes toward the COVID-19 vaccine, subjective norms, and trust in the vaccine approval process. Significant demographic predictors of vaccine reluctance included being female, politically conservative, and more religious. Conclusions The current research identified three demographic factors and four health constructs uniquely associated with vaccine acceptance. These findings reveal that the constructs contained within the health belief model and theory of planned behavior can be used to predict COVID-19 vaccination intentions, and can be supplemented with an assessment of general vaccine attitudes and attitudes toward the vaccine approval process.

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