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The Theory of Planned Behavior: A Review of Its Applications to Health-Related Behaviors

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Abstract

To review applications of Ajzen's theory of planned behavior in the domain of health and to verify the efficiency of the theory to explain and predict health-related behaviors. Most material has been drawn from Current Contents (Social and Behavioral Sciences and Clinical Medicine) from 1985 to date, together with all peer-reviewed articles cited in the publications thus identified. The results indicated that the theory performs very well for the explanation of intention; an averaged R2 of .41 was observed. Attitude toward the action and perceived behavioral control were most often the significant variables responsible for this explained variation in intention. The prediction of behavior yielded an averaged R2 of .34. Intention remained the most important predictor, but in half of the studies reviewed perceived behavioral control significantly added to the prediction. The efficiency of the model seems to be quite good for explaining intention, perceived behavioral control being as important as attitude across health-related behavior categories. The efficiency of the theory, however, varies between health-related behavior categories.
... They found that 'subjective norm' is a weak predictor of 'intention', and other factors like perceived behavioural control and attitude may be seen as more critical by consumers in their buying behaviour. Some other studies also have shown that 'subjective norm' is not a strong predictor of the intention of consumers to use a product (e.g., Conner & Armitage, 1998;Godin & Kok, 1996). So, the zoomers surveyed in the present study are not influenced by 'subjective norms', and utilitarian factors impact their use of online social networks. ...
... Subjective norm or opinion of people important to the user, like family and friends, does not impact the user's intention when deciding to use social networks. Similar outcomes were seen in some past studies, which showed that subjective norm is not a strong predictor of intention to use a technology (Conner & Armitage, 1998;Godin & Kok, 1996;Povey et al., 2001). While privacy concerns with using online social networks have shot up in recent years (Jeong & Kim, 2017), for the zoomers surveyed for the present study, this issue interestingly does not impact their attitude towards choosing such networks. ...
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With a young population and high internet penetration levels, Saudi Arabian users are more active than ever on social media. Close to 44% of Saudi Arabia’s users of online social networking sites are between the age of 18 and 24 years, also known as ‘zoomers’ or ‘Gen Z’. From this age group, students at the college level are one of the most prolific users of online social networks ( Alaslani & Alandejani, 2020 ). Since this study was conducted on Saudi undergraduate students, we will refer to them as zoomers in this article as they are from the same age group. The Unified Theory of Acceptance and Use of Technology was adapted for the study to understand factors that influence the perception, acceptance and usage of online social networks by zoomers in Saudi Arabia. Data collected from 623 undergraduate students across the country reflect that while variables like task-oriented usage, trust and pleasure influenced the attitude of users, privacy was not a concern for students in choosing to use online social networks. Perceived behavioural control directly impacts the intention to use such networks; however, subjective norms or influence of peers and family did not impact the behavioural intention of the students to choose online social networking sites. A better understanding of the factors influencing the attitude of these zoomers (Gen Z) provides a massive opportunity for brands as well as social networking platforms to be able to not only reach this population effectively but also plan efficient approaches for revenue generation. This can also help academicians and government entities understand the behaviour of college-going students by exploring the constructs related to their behavioural intention to choose and use online social networks.
... Since Entrepreneurship is also a planned behaviour, its explanation with the help of intention is very much possible. Research done elsewhere on behaviour like health behaviour (Godin and Kok, 1996), leisure behaviour (Hagger et al., 2003) and consumer behaviour (Chen, 2017) have used this model and established it as the best forecaster of any planned behaviour. As far as its statistical robustness is concerned, the TPB is found being extensively used in the literature (Kolvereid, 1996;Tkachev and Kolvereid, 1999;Krueger et al., 2000;Guerrero et al., 2008;Liñán and Chen, 2009;Lortie and Castogiovanni, 2015;Roy et al., 2017) and it has always been successful in explaining every type of activity it had been applied to such as psychology (Austin and Vancouver, 1996), health sciences (Godin & Kok, 1996), leisure studies (Hagger et al., 2003) and marketing (Pavlou and Fygenson, 2006). ...
... Research done elsewhere on behaviour like health behaviour (Godin and Kok, 1996), leisure behaviour (Hagger et al., 2003) and consumer behaviour (Chen, 2017) have used this model and established it as the best forecaster of any planned behaviour. As far as its statistical robustness is concerned, the TPB is found being extensively used in the literature (Kolvereid, 1996;Tkachev and Kolvereid, 1999;Krueger et al., 2000;Guerrero et al., 2008;Liñán and Chen, 2009;Lortie and Castogiovanni, 2015;Roy et al., 2017) and it has always been successful in explaining every type of activity it had been applied to such as psychology (Austin and Vancouver, 1996), health sciences (Godin & Kok, 1996), leisure studies (Hagger et al., 2003) and marketing (Pavlou and Fygenson, 2006). Therefore, this study also implies the use of this model to observe EI in Indian students from Muslim community. ...
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The objective of this research is to check whether the models of EI (Entrepreneurial Intention) explain the entrepreneurial phenomenon when applied to Indian Muslims. The framework tested here is Ajzen's theory of planned behaviour (TPB) and the data has been collected by administering questionnaire among the students at Aligarh Muslim University, Aligarh, India. The study uses a linear regression model to examine the drivers of EI based on TPB. The results partly back the TPB since its construct social norms (SN) found to be insignificant in forecasting EI. Furthermore, highest variance is explained by PBC indicating India's environment to be less conducive for entrepreneurs than other countries. This study is one of its kind studying Entrepreneurial Intention Models based on TPB framework covering students from Muslim community of India. Additionally, this study also focuses on checking the strength of the TPB in explaining EI in Indian Muslims.
... This theory states that attitude (the degree to which a person has a positive or negative evaluation of performing a behavior), subjective norms (normative influences; perceived social pressures to perform or not perform a behavior), and perceived behavioral control (perceived difficulty) or the ease of performing a certain behavior) have an effect on the intention and directly affect the behavior. This theory pays attention to social factors such as social norms and the motivation to obey important people, and for this reason, many studies consider it an important factor in accepting desirable sexual functions [17][18][19]. ...
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Objectives This study investigated the effect of an intervention based on the theory of planned behavior on sexual function and satisfaction of migrant women during menopause in Iran. Methods This quasi-experimental study was conducted on 88 migrant and menopausal women in Iran. Sampling was performed using the multistage methods in four health care centers. The educational program based on the theory of planned behavior was held in 4 sessions of 90 min for 4 weeks in the intervention group. The final evaluation of the intervention was performed immediately, and the follow-up stage (3 months after the intervention) by completing questionnaires in two groups. The data was analyzed with SPSS 20 software with statistical tests of mean and standard deviation, Manwitney, Frideman, Generalized Estimating Equations. Results The results showed that after the intervention, the mean score of sexual function in the intervention group increased from 16.53 ± 2.68 before to 17.52 ± 2.90 immediately and 17.38 ± 2.81 in follow up stage (p < 0.05). But in the control group, this score was not statistically significant during the study stages (p > 0.05). Conclusion The results indicate that the intervention based on the theory of planned behavior is effective in sexual function and satisfaction with the married life of migrant women during menopause. but to change the sexual function, studies with a longer duration and also the use of other educational models are suggested.
... Studies have shown that college students' cognition and attitudes towards GenAI technology are positively correlated with their usage intentions [5] (Armitage & Conner 2001). Specifically, when students believe that GenAI can improve learning efficiency and promote innovative thinking, they are more likely to show a strong intention to use it [6](Godin & Kok, 1996). Subjective norms -referring to the pressure that individuals feel important to others or groups feel that they should or should not undertake a specific behavior -also play an important role in the intention of GenAI use by college students. ...
Article
In the contemporary era of intelligent media, the utilization of generative artificial intelligence (AI) has become a focal point of research, especially concerning the behavioral intentions of college students. This study aims to delve into the complex factors affecting college students’ behavioral intentions toward using generative AI, with a theoretical foundation rooted in the thoroughly researched Theory of Planned Behavior. The primary focus of the research is to understand how the current wave of intelligent media influences college students’ choices and intentions regarding the adoption of generative AI. This study aims to provide valuable insights into the subtle factors influencing college students’ intentions to interact with generative AI. By bridging the theoretical framework with practical application, the research strives to offer feasible suggestions for educators, policymakers, and AI developers seeking to enhance the integration of generative AI in the academic field.
... The theory of planned behavior (TPB) has been widely used across disciplines to understand the mechanisms of conscious decision-making, including decisions related to health behaviors and environmental hazards [15,16]. TPB is particularly useful for this study because it provides a structured framework to analyze how unhoused individuals form intentions to avoid heat exposure. ...
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The escalating awareness of heat-related risks and the associated imperative to enhance preparedness strategies at various levels has spurred a growing emphasis on disseminating knowledge about heat vulnerability. These efforts aim to equip diverse stakeholders with practical heat planning and forecasting tools. The success of these communication initiatives hinges on understanding the nuanced perceptions of risk and the priority assigned to addressing heat as a health risk. This paper delves explicitly into the unhoused population’s risk perceptions and coping strategies. Acknowledged as one of the most underserved and vulnerable groups to extreme heat, unhoused individuals face prolonged exposure, a heightened frequency of mental and physical health issues, and limited coping resources during extreme heat events. Despite widespread acknowledgment of their vulnerability, little attention has been directed towards researching health behavior within this demographic about excessive heat. We developed a survey instrument using the theory of planned behavior (TPB) to bridge this gap. We collected quantitative survey data from unhoused populations in Columbia, South Carolina, an area of the United States that experiences extreme heat events and has a sizeable unhoused population. Using a series of hierarchical multiple regression models, our findings indicate that TPB variables predict the intention to avoid the heat while considering additional coping strategies common among unhoused individuals. These findings offer valuable insights for public health researchers, practitioners, and community officials engaged in direct interactions with unhoused populations, informing how this underserved group manages excessive heat exposure.
... Many of these constructs overlap since health behavior theories are often developed with contributions from other theories. 77,78 Social cognitive theory, 79 the health belief model, 80 and the theory of planned behavior 81 have been most influential during the past decades. 76,77 This thesis uses theoretical constructs from social cognitive theory, which has previously been used in research aiming at influencing or explaining adolescents' and young adults' health behaviors, including their physical activity, 82 , diet. ...
Article
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