Using the Theory of Planned Behavior to Explore Pediatric Heart Transplant Recipients’ Dietary Behavior

2018 ◽  
Vol 25 (2) ◽  
pp. 43-52
Author(s):  
Jo Wray ◽  
Claire Orrells ◽  
Helen Latch ◽  
Michael Burch
Keyword(s):  
Theory Of Planned Behavior ◽  
Heart Transplantation ◽  
Planned Behavior ◽  
Vegetable Consumption ◽  
Graft Loss ◽  
Dietary Behaviors ◽  
Food Groups ◽  
Tpb Model ◽  
Eating Fruit ◽  
End Stage

Abstract. Heart transplantation is the treatment of choice for children with end-stage heart disease. Coronary artery vasculopathy is, however, a significant morbidity and leading cause of late graft loss, and hyperlipidemia a risk factor for its development. Improving diet in this population could have important benefits for patients. We wanted to understand what influences decisions about food intake in this patient group. Dietary intentions and behavior were examined using a questionnaire based on the Theory of Planned Behavior (TPB) with 67 children who had undergone heart transplantation at least 12 months previously. The TPB model was significant for both healthy and unhealthy dietary behaviors, explaining 55% and 38% of the variance, respectively. Ten percent of children reported not eating any fruit and/or vegetables in the previous week and only 29% reported eating fruit and/or vegetables every day. The Theory of Planned Behavior provides a framework for explaining some specific dietary behaviors related to individual food groups in children who have undergone heart transplantation. These preliminary data support using this approach to inform the development of interventions to improve fruit and vegetable consumption but the approach may be less useful for explaining and developing interventions to reduce the consumption of unhealthy foods.

scholarly journals Why Do College Students Cheat? A Structural Equation Modeling Validation of the Theory of Planned Behavior

2017 ◽  
Vol 10 (8) ◽  
pp. 40 ◽  
Author(s):  
Saeed Abdullah AL-Dossary
Keyword(s):  
High School ◽  
Structural Equation Modeling ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Equation Modeling ◽  
Cheating Behavior ◽  
Tpb Model ◽  
Explained Variance

Cheating on tests is a serious problem in education. The purpose of this study was to test the efficacy of a modified form of the theory of planned behavior (TPB) to predict cheating behavior among a sample of Saudi university students. This study also sought to test the influence of cheating in high school on cheating in college within the framework of the TPB. Analyses were conducted on a sample of 322 undergraduate students using structural equation modeling. The results were consistent with the TPB model’s predictions. The TPB model explained a modest variance in cheating in college. When cheating in high school added to the model, the proportion of explained variance increased and cheating in high school was the best predictor of cheating in college. Although not hypothesized by the TPB, subjective norm had a direct effect on attitude.

scholarly journals Understanding dietary behaviors of children with type 1 diabetes using theory of planned behavior

2013 ◽  
Vol 27 (S1) ◽  
Author(s):  
Soo‐Kyung Lee ◽  
Na‐Yeon Noh ◽  
So‐Young Nam ◽  
Hee‐Sook Kang ◽  
Ji‐Eun Lee
Keyword(s):  
Type 1 Diabetes ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Dietary Behaviors

scholarly journals The Moderating Effect of Social Media Use on Sustainable Rural Tourism: A Theory of Planned Behavior Model

2020 ◽  
Vol 12 (10) ◽  
pp. 4095 ◽  
Author(s):  
Yeajin Joo ◽  
Hwayoon Seok ◽  
Yoonjae Nam
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Structural Equation ◽  
Subjective Norm ◽  
Equation Model ◽  
Rural Tourism ◽  
Social Networking Service ◽  
Tpb Model ◽  
Perceived Behavior Control ◽  
The Relationship

Using the theory of planned behavior (TPB) model, this research aimed to investigate which important factors affect the potential behavior of rural tourism tourists. It also sought to identify the effects of social networking service (SNS) use on the rural tourism using TPB model. For analysis, a partial least squares-structural equation model (PLS-SEM) was used. The results revealed that tourists were influenced by subjective norm and perceived behavior control, of which the effect of subjective norm was greater. Consumers’ use of SNS played a notable role in contributing to the strength of the relationship between intention to visit and subjective norm. Promoters and marketers of sustainable tourism can use the results to make more effective decisions in their businesses.

scholarly journals Do German Student Biology Teachers Intend to Eat Sustainably? Extending the Theory of Planned Behavior with Nature Relatedness and Environmental Concern

2020 ◽  
Vol 12 (12) ◽  
pp. 4909 ◽  
Author(s):  
Alina Weber ◽  
Alexander Georg Büssing ◽  
Raphael Jarzyna ◽  
Florian Fiebelkorn
Keyword(s):  
Theory Of Planned Behavior ◽  
Student Teachers ◽  
Planned Behavior ◽  
Environmental Concern ◽  
Biodiversity Loss ◽  
Path Model ◽  
Biology Teachers ◽  
Sustainable Food ◽  
Nature Relatedness ◽  
Tpb Model

Non-sustainable food choices are responsible for many global challenges, such as biodiversity loss and climate change. To achieve a transformation toward sustainable nutrition, it is crucial to implement education for sustainable development (ESD), with the key issue “nutrition”, in schools and teacher training. Biology teachers are crucial for promoting ESD competences. Thus, the main aim of the study is to investigate the social and environmental psychological factors that may affect the intention of student biology teachers to eat sustainably as an integral part of their action competence needed for teaching this topic effectively. We conducted a paper-pencil questionnaire (N = 270, Mage = 22.9; SD = 2.8) based on the theory of planned behavior (TPB) and expanded the model by integrating environmental concern and nature relatedness. A path model is reported to show the relationships between the variables. The results show that the extended TPB model is suitable for predicting the intention to eat sustainably. Nature relatedness and altruistic concern positively predict attitudes and the intention to eat sustainably. This study suggests further research on the importance of (student) teachers’ nutritional behavior, as a possible determinant of the intention to teach this topic in their future school career.

An Extension of the Theory of Planned Behavior Model for Tourists

2010 ◽  
Vol 36 (3) ◽  
pp. 390-417 ◽  
Author(s):  
Cathy H. C. Hsu ◽  
Songshan (Sam) Huang
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Intention ◽  
Predictive Power ◽  
Actual Behavior ◽  
Tourist Behavior ◽  
Comprehensive Literature Review ◽  
Wide Range ◽  
Tpb Model ◽  
Stage 1

The sufficiency of theory of planned behavior (TPB) is still being questioned although the model was validated in predicting a wide range of intentions and behaviors. Based on a comprehensive literature review, an extended TPB model of tourists was proposed to investigate relations among constructs of the model with the addition of motivation and actual behavior. An instrument was developed based on previous tourism and marketing studies as well as focus groups. A two-wave data collection was implemented, with data collected from 1,524 Beijing, Shanghai, and Guangzhou residents in Stage 1 and 311 respondents from the same cohort in Stage 2. Results of the study demonstrated that the extended TPB model with tourist motivation fit the data relatively well, explaining 5% more of the variation in behavioral intention in comparison with a base model without motivation. However, the model with both tourist motivation and actual behavior was not tenable, despite a marginal relationship found between behavioral intention and actual tourist behavior using regression analysis. The findings warrant further research examining the predictive power of behavioral intention on actual behavior.

scholarly journals Human Capital and Theory of Planned Behavior: Unraveling Entrepreneurial Intentions of IT Students in Pakistan

2019 ◽  
Vol 6 (2) ◽  
pp. 23
Author(s):  
Hina Munir ◽  
Cai Jianfeng ◽  
Wang Miao ◽  
Sidra Ramzan
Keyword(s):  
Human Capital ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Principal Component ◽  
Entrepreneurial Intentions ◽  
Entrepreneurial Opportunities ◽  
Tpb Model ◽  
Cognitive Decision ◽  
Relationship Of ◽  
The Relationship

Human capital variables (such as practical learning, education and experience) affect cognitive decision making abilities of individuals which permit them to identify entrepreneurial opportunities. Therefore, this study aims to establish an integrated model considering the theory of planned behavior (TPB) and human capital variables considering Pakistan as a sample, especially targeting IT major students. Data for the study were collected from 227 IT major students from seven universities from different provinces of Pakistan. Principal component analysis and hierarchical multiple regression analysis are used for data analysis. The findings of the study confirm the validity of TPB model in predicting entrepreneurial intentions among IT major students. This study further confirms the effect of human capital variables within TPB framework and demonstrates that prior entrepreneurial exposure (PEE) and prior familial exposure (PFE) have an impact on attitude towards entrepreneurship. Furthermore, the relationship of PEE and PFE in predicting entrepreneurial intentions was found insignificant and significant respectively. This is one of the first studies which explore entrepreneurial intentions among IT major students regarding a developing country. Furthermore, this study provides valuable insights to practitioners and educators in Pakistan for consideration of human capital variables’ influence on entrepreneurial behavior and entrepreneurial intentions among IT major students. 

Investigating consumers' behavioral intentions toward suboptimal produce: an extended theory of planned behavior – a cross-cultural study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed M. Adel ◽  
Xin Dai ◽  
Rana S. Roshdy
Keyword(s):  
Risk Perception ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Behavioral Intentions ◽  
Environmental Concern ◽  
Cross Cultural ◽  
Equation Modeling ◽  
Content Type ◽  
Health Consciousness ◽  
Tpb Model

PurposeThis study extends the theory of planned behavior (TPB) through the inclusion of motivating variables for suboptimal produce preference (i.e. environmental concern, food waste awareness, and familiarity), and demotivating variables (i.e. health consciousness and risk perception) to investigate behavioral intentions toward suboptimal produce.Design/methodology/approachA quantitative research methodology using the online survey technique is employed to collect cross-cultural data from respondents from China (n = 430) and Egypt (n = 441). Structural equation modeling (SEM) via SmartPLS v.3.2.9 is used to analyze data.FindingsThe proposed extended TPB model could enhance predicting consumers' behavioral intentions toward suboptimal produce except for “environmental concern” since it has been found that environmental concern has a nonsignificant effect on consumers' attitudes and behavioral intentions toward suboptimal produce in both countries. The results also reveal that the proposed extended TPB constructs could predict 79.9% of intentions to purchase suboptimal produce and 65.3% of the variance in intentions to recommend such produce for others.Originality/valueThis study is one of the few attempts that investigates the suboptimal food consumption based on a theoretical lens by extending the TPB model. Previous studies on suboptimal food do not pay attention to the demotivating variables such as health consciousness and risk perception, and thus, this thesis represents the first effort that sheds light on such variables. Moreover, prior investigation on such issues in Egypt and China as a cross-cultural research has not existed.

scholarly journals Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Tianpei Tang ◽  
Hua Wang ◽  
Xizhao Zhou ◽  
Hao Gong
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Psychological Factors ◽  
Red Light ◽  
Equation Modeling ◽  
Predictive Utility ◽  
Red Light Running ◽  
Prototype Willingness Model ◽  
Behavior Change Interventions ◽  
Tpb Model

To date, electric bikers’ (e-bikers’) red-light running (RLR) behavior is often viewed as one of the main contributors to e-bike-related accidents, especially for traffic scenarios with high e-bike ridership. In this paper, we aim to understand e-bikers’ RLR behavior based on structural equation modeling. Specifically, the predictive utility of the theory of planned behavior (TPB), prototype willingness model (PWM), and their combined form, TPB-PWM model, is used to analyze e-bikers’ RLR behavior, and a comparison analysis is made. The analyses of the three modeling approaches are based on the survey data collected from two online questionnaires, where more than 1,035 participant-completed questionnaires are received. The main findings in this paper are as follows: (i) Both PWM and TPB-PWM models could work better in characterizing e-bikers’ RLR behavior than the TPB model. The former two models explain more than 80% (81.3% and 81.4%, respectively) of the variance in e-bikers’ RLR behavior, which is remarkably higher than that of the TPB model (only 74.3%). (ii) It is also revealed that RLR willingness contributes more on influencing the RLR behavior than RLR intention, which implies that such behavior is dominated by social reactive decision-making rather than the reasoned one. (iii) Among the examined psychological factors, attitude, perceived behavioral control, past behavior, prototype perceptions (favorability and similarity), RLR intention, and RLR willingness were the crucial predictors of e-bikers’ RLR behavior. Our findings also support designing of more effective behavior-change interventions to better target e-bikers’ RLR behavior by considering the influence of the identified psychological factors.

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