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Transcript of Emily Kothe - ASBHM - A Psychosocial Intervention: Perceived Behavioural Control and Breakfast...
A Psychosocial Intervention: Perceived
Behavioural Control and Breakfast Eating
Frequency Emily Kothe & Barbara Mullan
School of Psychology, The University of Sydney, Australia
In Australia approximately 39% of young
adults eat breakfast less than 5 days per
week, with 15% reporting rarely or never
eating breakfast (Australian Bureau of
Statistics, 1997)
Recent research has shown that the
Theory of Planned Behaviour [TPB] (Azjen,
1991) can be meaningfully applied to
breakfast consumption (Wong & Mullan,
2008), and may be a fruitful avenue for an
intervention targeting breakfast eating
frequency.
As expected TPB variables at baseline were
found to predict breakfast consumption.
The intervention led to significant increases in
subjective norm…
and PBC over the course of the study
compared to the control condition.
This study considered the use of a
theoretically derived breakfast eating
intervention based on the TPB.
The aim of the study was to examine the
effects of a brief, web-based, psychosocial
intervention targeting PBC and
supplemented by implementation
intentions.
The influence of the intervention on
attitude, subjective norm, perceived
behaviour control [PBC], intention and
behaviour was investigated.
A randomised controlled trial was
conducted to determine the outcomes of
the intervention at four week follow-up.
Participants (N=74) were randomly
allocated to either the control or
intervention group.
TPB variables and behaviour were
measured at baseline and four weeks later.
Within and between group differences on
target variables were considered and
regression analyses were conducted to
determine the relationship between
condition, TPB variables, intention, and
behaviour
Purpose
Methods
Results
Figure 1. Sample 1 of the intervention task
However, changes in TPB variables were not
a significant predictor of change in breakfast
consumption between baseline and follow-up
when controlling for condition.
Conclusion
References
Figure 2. Sample 2 of the intervention task
Attitudes
Subjective Norm
PBC
Intention
Behaviour
-0.024
.197
.535**
.704**
.187
R2 = .368**
R2 = .520**
Figure 2: Model 1 with standardized regression coefficients (β). (Note * p <.05; ** p<.001)
Figure 4.
Subjective
Norm over
Time by
Group
Figure 5.
PBC over
Time by
Group
Subjective Norm
Change
Behaviour
Change
R2 =.074
Figure 6: Change in TPB variables as a predictor of change
in behaviour with standardized regression coefficients (β). (Note * p <.05; **p<.001)
Attitude
Change
PBC
Change
Condition
-.008
.528**
.267** .265
-.126
.082
The intervention does appear to be effective
in changing target cognitions, however
changes in these thought processes do not
appear to be effectively translated to changes
in behaviour.
Therefore interventions need to consider how
best to transform these changed cognitions
into changes in behaviour.
Acknowledgments
This study would not have been possible without the time
and effort of those who participated in this research. As
always they have our deepest gratitude. The authors would
also like to thank Rajith Amaratunga and Cara Wong for their
support.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior
and Human Decision Processes, 50(2), 179-211.
Australian Bureau of Statistics. (1997). National Nutrition Survey:
Selected Highlights, Australia, 1995 Canberra.
Wong, C., & Mullan, B. (2008). Predicting Breakfast Consumption: An
application of the Theory of Planned Behaviour and the
Investigation of Past Behaviour and Executive Function. British
Journal of Health Psychology. (In Press)