How can the health belief model and self-determination theory predict both influenza vaccination and vaccination intention ? A longitudinal study among university students

2017 ◽  
Vol 33 (6) ◽  
pp. 746-764 ◽  
Author(s):  
Estelle Fall ◽  
Marie Izaute ◽  
Nadia Chakroun-Baggioni
2015 ◽  
Vol 12 (3) ◽  
pp. 531-538 ◽  
Author(s):  
Ilknur Aydin Avci ◽  
Busra Altinel

This study aimed to create a measurement tool for the determination of university students’ health beliefs about testicular cancer (TC) and self-examination. This is a methodological and cross-sectional study. The study sample included 425 university students. Consents and approvals were obtained from the relevant institutions and the ethics committee prior to the research. The data were collected using an interview form that included questions about descriptive characteristics, family history of TC, and knowledge, beliefs, and practice of self-examination. The health belief model including 41 questions about self-examination and the interview form were administered to the students in their classrooms at a suitable time. Principal components analysis and varimax rotation were used for the examination of the structures of the factors. Accordingly, factor patterns, self-values, and the variance percentages they explained were evaluated. The average age of the participants is 22.2 ± 2.3 (min = 17; max = 40). Of them, 98.8% of the participants are single ( n = 420). Of them, 56.2% have heard about TC before, and 18.4% said they were informed about TC. Factor loading of the items in the first factor was 0.64 to 0.89, while it was 0.48 to 0.75 for the items in the second factor, 0.50 to 0.87 for the items in the third factor, 0.37 to 0.68 for the items in the fourth factor, 0.51 to 0.68 for the items in the fifth factor, and 0.65 to 0.79 for the items in the sixth factor. The health belief model scale may be used in TC screenings for males to measure susceptibility, seriousness, health motivation, barriers, benefits, and self-efficacy.


1994 ◽  
Vol 15 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Christiana Udo Edem ◽  
S. Marie Harvey

The purpose of this study is to use the concepts of the Health Belief Model (HBM) to predict self-reported condom use among university students in Nigeria. A sample of 395 students enrolled in a required course at a University in Nigeria completed a self-administered questionnaire. The HBM guided instrument design. Regression analyses were used to test the HBM variables (susceptibility to and severity of AIDS; benefits and barriers to condom use; cues to action; AIDS knowledge; and demographics) in predicting condom use, past and intended. The results indicate that condom benefit beliefs, condom barrier beliefs, cues to action, knowledge and male gender were significant predictors of past condom use. Perceived barriers to condom use, perceived benefits of condoms use, and male gender were significant predictors of intentions to use condoms. These findings have important implications for the design of interventions to increase condom use among young adults in Nigeria.


2020 ◽  
Author(s):  
Mohammad ali Morowatisharifabad ◽  
Zahra Aalipour ◽  
Sara Jambarsang ◽  
Masoumeh Abbasi Shavazi ◽  
Masuda Mojahed

Author(s):  
Mallory Trent ◽  
Daniel Salmon ◽  
C. Raina MacIntyre

Background: Tens of thousands of Australians become ill with influenza annually, causing thousands of severe infections that require hospitalisation. However, only 40% of adults receive the annual influenza vaccine. We surveyed Australian adults to provide up-to-date data on the predictors and barriers of seasonal influenza vaccination. Methods: We administered an online survey to a nationally representative sample of Australian adults. We designed survey questions using the constructs of the health belief model. Using simple and multivariable Poisson regression, we identified attitudes and beliefs associated with influenza vaccination in 2019. Results: Among 1,444 respondents, 51.7% self-reported influenza vaccination in 2019. We estimated vaccine coverage to be 44% for adults under 45, 46% for adults aged 45 to 64, and 77% for adults aged 65 and over. The strongest individual predictors of self-reported vaccination were believing the vaccine is effective at preventing influenza (APR = 3.71; 95% CI = 2.87-4.80), followed by recalling their doctor recommending the vaccine (APR = 2.70; 95%CI = 2.31-3.16). Common perceived barriers that predicted self-reported vaccination included believing the vaccine could give you influenza (APR = 0.59; 95% CI = 0.52-0.67), believing the vaccine can make you ill afterwards (APR = 0.68; 95% CI = 0.62-0.74), and preferring to develop immunity “naturally” (APR = 0.38; 95% CI = 0.32-0.45). Conclusion: Although vaccine uptake in 2019 appears to be higher than previous years, there are perceived barriers which may limit uptake among Australians. Tailored interventions are needed to combat widespread influenza vaccine hesitancy, particularly among high risk grou


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