Using past behaviour and spontaneous implementation intentions to enhance the utility of the theory of planned behaviour in predicting exercise

Brickell, Tracey A.; Chatzisarantis, Nikos L. D.; Pretty, Grace

doi:10.1348/135910705x52471

Cited by 80 publications

(97 citation statements)

References 38 publications

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“…Therefore, affective and instrumental attitudes were included in the TPB models as separate constructs. Our results are in conformity with those of other reports, which show that attitude is consistently positively correlated with intention and is a good predictor of intention (21)(22)(23)(24)(25)(26). In dental health research, favorable attitudes regarding dental treatment were associated with the greatest number of preventive and restorative visits (27).…”

Section: Discussionsupporting

confidence: 91%

Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior

et al. 2011

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The aim of this study was to test the efficiency of an extended model of the theory of planned behavior (TPB) in predicting intention to improve oral health behaviors. The participants in this cross-sectional study were 153 first-year medical students (mean age 20.16, 50 males and 103 females) who completed a questionnaire assessing intentions, attitudes, subjective norms, perceived behavioral control, oral health knowledge, and current oral hygiene behaviors. Attitudes toward oral health behaviors and perceived behavioral control contributed to the model for predicting intention, whereas subjective norms did not. Attitudes toward oral health behaviors were slightly more important than perceived behavioral control in predicting intention. Oral health knowledge significantly affected affective and cognitive attitudes, while current behavior was not a significant predictor of intention to improve oral health behavior. The model had a slightly better fit among females than among males, but was similar for home and professional dental health care. Our findings revealed that attitude, perceived behavioral control, and oral health knowledge are predictors of intention to improve oral health behaviors. These findings may help both dentists and dental hygienists in educating patients in oral health and changing patients' oral hygiene habits. (J Oral Sci 53, 369-377, 2011)Keywords: theory of planned behavior; tooth brushing; dental flossing; dental patients; oral health knowledge.

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Section: Discussionsupporting

confidence: 91%

Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior

et al. 2011

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“…However, despite this neither of the interventions was found to significantly increase behaviour at time two. This is in contrast to previous studies that have found implementation intentions to increase behaviour for a number of different health behaviours (Brickell, Chatzisarantis, & Pretty, 2006b;Gratton, et al, 2007;Luszczynska, Sobczyk, & Abraham, 2007). In the case of food hygiene behaviours however, it could be the case that participants did not actively want to change their behaviour as they already believed they were performing the correct behaviours.…”

Section: Discussioncontrasting

confidence: 86%

Using the Theory of Planned Behaviour to design a food hygiene intervention

Mullan

Wong

2010

Food Control

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Twenty percent of food poisoning annually in Australia is believed to result from consumer food handling behaviour. Research advocates the use of social cognition theories in designing food hygiene interventions, however very few studies have actually done so. Thus, this study investigated the efficacy of a food hygiene intervention based on the Theory of Planned Behaviour (TPB). One hundred and eighty-four participants completed a TPB questionnaire, including questions regarding past behaviour and food hygiene knowledge, and then were randomly allocated to a knowledge and implementation intention group, a combined knowledge/implementation intention/PBC group, or a control group. Behaviour was measured four weeks later. The TPB predicted a high proportion of variance in both intentions and behaviour, but neither intervention improved participants' food hygiene behaviours. However, knowledge and PBC were significantly increased in the PBC group. The implications of this for future research are explored.

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“…Possible explanations for these contradictory findings were the differences among studies in terms of samples used and cultural differences. Corroborating with Symons Downs et al (2006) and Brickell, Chatzisarantis and Pretty (2006), the present study found that male respondents demonstrated a greater intention to exercise compared to female respondents. It is possible that women living in the urban areas are mostly busy with career and care-giving roles for their family members, and consequently reducing their intention to exercise.…”

Section: Demographic Differences In Social Cognitive Factors and Exersupporting

confidence: 74%

“…Lastly, the finding revealed that males scored significantly higher than females on the measures of exercise behavior. This adds to the collection of other studies (e.g., Grzywacz and Marks, 2001;Rimal, 2002;Brickell, Chatzisarantis and Pretty, 2006) conducted in the West that supported this exercise pattern between males and females 4.3.2 Age Group Differences Subjects were divided into three age groups i.e., 29 years old and younger, between 30 and 39 years old, and 40 to 55 years old. The one-way ANOVA results (see Table 4) showed significant age group differences in all the social cognitive factors studied (except for descriptive norm) as well as exercise intention and exercise behavior.…”

Section: Demographic Differences In Social Cognitive Factors and Exermentioning

confidence: 98%

Examining the Relationship between Gender, Age, Education Level and Social Cognitive Factors in a Health Setting

Othman

Yap²,

Wee

2011

IJBM

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Most research on exercise is dominated in the West and is seldom featured in the marketing literature. Efforts in examining the demographic differences with respect to social cognitive factors contained in the Theory of Planned Behavior (TPB) have been largely neglected. This paper aims to examine the relationship between gender, age, education level and the TPB sub-components of attitude, subjective norm, and perceived behavioral control. Conducted in Malaysia, this study employs a cross-sectional survey administered to a quota sample of 512 general adults. A fit measurement model with adequate evidence of convergent and discriminant validity is established using confirmatory factor analysis. Overall, the results show that gender, age, and education do exert a certain level of influence on the social cognitive factors and the subjects' exercise behavior. The application of socio-cognitive approach to examine the exercise behavior yielded contributions in terms of theory, methodology, and practice.

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Using past behaviour and spontaneous implementation intentions to enhance the utility of the theory of planned behaviour in predicting exercise

Abstract: Implications and future research directions are discussed.

Cited by 80 publications

References 38 publications

Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior

Modeling the theory of planned behavior for intention to improve oral health behaviors: the impact of attitudes, knowledge, and current behavior

Using the Theory of Planned Behaviour to design a food hygiene intervention

Examining the Relationship between Gender, Age, Education Level and Social Cognitive Factors in a Health Setting

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