1
Figure 2. Theory of planned behaviour variables predicted fruit and vegetable consumption at T2 beta weights shown, significant paths in dark blue Fruit and vegetable intake T2 Intention T2 Attitude T2 Subjective norm T2 Perceived behavioural control T2 Theory of planned behaviour cognitions do not predict change in fruit and vegetable consumption Emily Kothe & Barbara Mullan School of Psychology, The University of Sydney, Australia [email protected] & [email protected] Background The present study investigated whether theory of planned behaviour (TPB) cognitions predicted change in fruit and vegetable intake in a trial cohort of Australian young adults. Methods Participants of a randomised controlled trial of a TPB-based intervention (N=162) completed questionnaires assessing fruit and vegetable intake and TPB constructs at baseline and 30 days. Findings The theory of planned behaviour predicted fruit and vegetable consumption at baseline and follow-up. Change in attitude, perceived behavioural control and subjective norm predicted change in intention, but change intention and perceived behavioural control failed to predict change in fruit and vegetable intake Discussion Failure of the theory to predict behaviour change may be due to the inadequacy of the theory or to artefacts of the study design that facilitate change in fruit and vegetable consumption without corresponding changes in cognitions. Researchers should be cautious when interpreting empirical support for the predictive utility of the TPB as evidence the theory can be applied to behaviour change. Australian young adults are less likely than any other age group to consume adequate quantities of fruit and vegetables. 1 The theory of planned behaviour has previously been found to predict a large proportion of the variance in intake in this population. 2,3,4 To determine whether change in fruit and vegetable consumption in the FreshFacts study could be explained by change in theory of planned behaviour cognitions. University undergraduates (N=162) completed a theory of planned behaviour intervention designed to increase fruit and vegetable intake. Participants were randomised to either the intervention or control conditions. All participants completed a theory of planned behaviour questionnaire and a self-report measure of fruit and vegetable consumption at baseline and immediate post-intervention follow-up (Day 30). Abstract Methods Conclusion References Acknowledgments Introduction Objectives Baseline assessment (n=180) Control (n=90) Follow-up assessment (n=162) Intervention (n=90) Results Figure 1. Theory of planned behaviour variables predicted fruit and vegetable consumption at T1 beta weights shown, significant paths in dark blue Fruit and vegetable intake T1 Intention T1 Attitude T1 Subjective norm T1 Perceived behavioural control T1 .18 .40 .37 .42 Change in fruit and vegetable intake Intention Attitude change Subjective norm change Perceived behavioural control change Figure 3. Change in theory of planned behaviour variables did not predict change in fruit and vegetable consumption beta weights shown, significant paths in dark blue .03 .14 Results (cont). Theory of planned behaviour accounted for 17% of variance in fruit and vegetable intake at baseline. Theory of planned behaviour accounted for 24% of variance in fruit and vegetable intake at follow-up. Theory of planned behaviour accounted for just 2.3% of variance in change in fruit and vegetable consumption. Failure of the theory to predict change in fruit and vegetable consumption may reflect artefacts of the study design. However, the lack of support for the theory of planned behaviour when applied to the modelling of behaviour change is consistent with a other recent intervention studies based on the theory. 5 Researchers should not assume that theories that successfully predict behaviour (either crosssectionally or prospectively) will adequately model change in behaviour. More research on the mediation of behaviour change through theory relevant pathways are needed to confirm or clarify these findings. This research would not have been possible without the support of staff and students at the University of Sydney. The researchers would especially like to thank Vanessa Allom, Kirby Sainsbury, Jemma Todd, Alyssa Milton and Kristina Xavier. 1. Australian Bureau of Statistics. National Nutrition Survey. Canberra 1997 2. Allom V, Mullan B. Self-regulation versus habit: The influence of self-schema on fruit and vegetable consumption. Psychology & Health. 2011. 3. Kothe EJ, Mullan B, Butow P. Promoting fruit and vegetable consumption: Testing an intervention based on the theory of planned behaviour. Appetite. 2012;58(3). 4. Collins A, Mullan B. An extension of the theory of planned behavior to predict immediate hedonic behaviors and distal benefit behaviors. Food Quality and Preference. 2011;22(7). 5. Hardeman W, Kinmonth AL, Michie S, Sutton S. Theory of planned behaviour cognitions do not predict self reported or objective physical activity levels or change in the ProActive trial. British Journal of Health Psychology. 2011;16(1):135-50.

Kothe - EHPS - Theory of planned behaviour cognitions do not predict change in fruit and vegetable consumption

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Page 1: Kothe - EHPS - Theory of planned behaviour cognitions do not predict change in fruit and vegetable consumption

Figure 2. Theory of planned behaviour variables

predicted fruit and vegetable consumption at T2 beta weights shown, significant paths in dark blue

Fruit and vegetable

intake

T2

Intention

T2

Attitude

T2

Subjective norm

T2

Perceived behavioural

control

T2

Theory of planned behaviour cognitions do not

predict change in fruit and vegetable

consumption Emily Kothe & Barbara Mullan

School of Psychology, The University of Sydney, Australia

[email protected] & [email protected]

Background The present study investigated whether

theory of planned behaviour (TPB) cognitions

predicted change in fruit and vegetable intake in a trial

cohort of Australian young adults.

Methods Participants of a randomised controlled trial

of a TPB-based intervention (N=162) completed

questionnaires assessing fruit and vegetable intake

and TPB constructs at baseline and 30 days.

Findings The theory of planned behaviour predicted

fruit and vegetable consumption at baseline and

follow-up. Change in attitude, perceived behavioural

control and subjective norm predicted change in

intention, but change intention and perceived

behavioural control failed to predict change in fruit and

vegetable intake

Discussion Failure of the theory to predict behaviour

change may be due to the inadequacy of the theory or

to artefacts of the study design that facilitate change in

fruit and vegetable consumption without corresponding

changes in cognitions. Researchers should be

cautious when interpreting empirical support for the

predictive utility of the TPB as evidence the theory can

be applied to behaviour change.

Australian young adults are less likely than any other

age group to consume adequate quantities of fruit and

vegetables.1

The theory of planned behaviour has previously been

found to predict a large proportion of the variance in

intake in this population. 2,3,4

To determine whether change in fruit and vegetable

consumption in the FreshFacts study could be

explained by change in theory of planned behaviour

cognitions.

University undergraduates (N=162) completed a

theory of planned behaviour intervention designed to

increase fruit and vegetable intake.

Participants were randomised to either the intervention

or control conditions.

All participants completed a theory of planned

behaviour questionnaire and a self-report measure of

fruit and vegetable consumption at baseline and

immediate post-intervention follow-up (Day 30).

Abstract

Methods

Conclusion

References

Acknowledgments

Introduction

Objectives

Baseline assessment

(n=180)

Control

(n=90)

Follow-up assessment

(n=162)

Intervention

(n=90)

Results

Figure 1. Theory of planned behaviour variables

predicted fruit and vegetable consumption at T1 beta weights shown, significant paths in dark blue

Fruit and vegetable

intake

T1

Intention

T1

Attitude

T1

Subjective norm

T1

Perceived behavioural

control

T1

.18 .40

.37 .42

Change in fruit and

vegetable intake

Intention

Attitude change

Subjective norm

change

Perceived behavioural

control change

Figure 3. Change in theory of planned behaviour

variables did not predict change in fruit and vegetable

consumption beta weights shown, significant paths in dark blue

.03 .14

Results (cont).

Theory of planned behaviour accounted for 17% of

variance in fruit and vegetable intake at baseline.

Theory of planned behaviour accounted for 24% of

variance in fruit and vegetable intake at follow-up.

Theory of planned behaviour accounted for just 2.3%

of variance in change in fruit and vegetable

consumption.

Failure of the theory to predict change in fruit and

vegetable consumption may reflect artefacts of the

study design.

However, the lack of support for the theory of planned

behaviour when applied to the modelling of behaviour

change is consistent with a other recent intervention

studies based on the theory.5

Researchers should not assume that theories that

successfully predict behaviour (either crosssectionally

or prospectively) will adequately model change in

behaviour.

More research on the mediation of behaviour change

through theory relevant pathways are needed to

confirm or clarify these findings.

This research would not have been possible without

the support of staff and students at the University of

Sydney. The researchers would especially like to thank

Vanessa Allom, Kirby Sainsbury, Jemma Todd, Alyssa

Milton and Kristina Xavier.

1. Australian Bureau of Statistics. National Nutrition

Survey. Canberra 1997

2. Allom V, Mullan B. Self-regulation versus habit: The

influence of self-schema on fruit and vegetable

consumption. Psychology & Health. 2011.

3. Kothe EJ, Mullan B, Butow P. Promoting fruit and

vegetable consumption: Testing an intervention

based on the theory of planned behaviour. Appetite.

2012;58(3).

4. Collins A, Mullan B. An extension of the theory of

planned behavior to predict immediate hedonic

behaviors and distal benefit behaviors. Food

Quality and Preference. 2011;22(7).

5. Hardeman W, Kinmonth AL, Michie S, Sutton S.

Theory of planned behaviour cognitions do not

predict self reported or objective physical activity

levels or change in the ProActive trial. British

Journal of Health Psychology. 2011;16(1):135-50.