RCT of a theory-based intervention promoting healthy eating and physical activity amongst out-patients older than 65 years

Kelley, Kate; Abraham, Charles

doi:10.1016/j.socscimed.2003.11.036

Cited by 108 publications

(45 citation statements)

References 48 publications

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“…The lack of support for behaviour change processes from the TPB found in this study is consistent with findings from a number of other studies which have investigated the processes by which TPB based interventions lead to increases in desired behaviours (Hardeman, et al, 2011;Kelley & Abraham, 2004). However, it is important to note that other studies which have found limited associations between TPB change and behaviour change have also found that the TPB did not model behaviour cross-sectionally (Hardeman, et al, 2011).…”

Section: Discussionsupporting

confidence: 78%

“…For example, Kelley & Abraham (2004) argued that goal setting, an important component of their intervention, may explain behaviour change in their intervention targeting physical activity in older adults, and would not be detected by measurement of TPB relevant cognitions (Kelley & Abraham, 2004). It may be that a similar process underlies the behaviour change observed in the current study.…”

Section: Discussionmentioning

confidence: 75%

“…This is also true of previous studies which have tested the TPB as a model of behaviour change (e.g. Elliott & Armitage, 2009;Kelley & Abraham, 2004;Kothe, et al, 2011). A larger body of research specifically investigating the pathways between intervention efficacy and TPB change is needed before such a distinction can be made.…”

Section: Resultsmentioning

confidence: 94%

“…Elliott & Armitage, 2009;Kelley & Abraham, 2004;Kothe, Mullan, & Amaratunga, 2011) results have been inconsistent and none have looked at fruit and vegetable intake.…”

Section: Tpb and Behaviour Changementioning

confidence: 99%

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Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour

2012

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This study evaluated the efficacy of a theory of planned behaviour (TPB) based intervention to increase fruit and vegetable consumption. The extent to which fruit and vegetable consumption and change in intake could be explained by the TPB was also examined.Participants were randomly assigned to two levels of intervention frequency matched for intervention content (low frequency n = 92, high frequency n = 102). Participants received TPB-based email messages designed to increase fruit and vegetable consumption, messages targeted attitude, subjective norm and perceived behavioural control (PBC). Baseline and post-intervention measures of TPB variables and behaviour were collected. Across the entire study cohort, fruit and vegetable consumption increased by 0.83 servings/day between baseline and follow-up. Intention, attitude, subjective norm and PBC also increased (p<.05).The TPB successfully modelled fruit and vegetable consumption at both time points but not behaviour change. The increase of fruit and vegetable consumption is a promising preliminary finding for those primarily interested in increasing fruit and vegetable consumption. However, those interested in theory development may have concerns about the use of this model to explain behaviour change in this context. More high quality experimental tests of the theory are needed to confirm this result.Keywords: theory of planned behaviour; fruit and vegetable consumption; behaviour change Like attitude and subjective norm, PBC is thought to influence behaviour through its influence on intention. It is also thought to have a direct influence on behaviour over and above its influence on intention. The extent to which PBC has a direct influence on behaviour is often thought to reflect an individual's actual behavioural control over the target behaviour (Fishbein & Ajzen, 2010). Given the difficulty in directly assessing actual behaviour control for most health related behaviours, PBC is used as a proxy for actual behaviour control the majority of TPB based studies (Armitage & Conner, 2001;Fishbein & Ajzen, 2010;Godin & Kok, 1996).A large number of studies provide support for the utility of the model in the prediction of behaviour (Armitage & Conner, 2001;Godin & Kok, 1996). In the context of fruit and vegetable intake, the model has been reported to account for an average of 41% of the variance in intention and 45% of the variance in behaviour (Guillaumie, Godin, & Vézina-Im, 2010). In their meta-analytic review of psychosocial predictors of fruit and vegetable intake, Guillaumie, Godin, and Vézina-Im argued that the TPB is the most strongly supported model of intention and behaviour (Guillaumie, et al., 2010), and therefore there is sound justification for the use of the model in interventions designed to increase intake of fruit and vegetables (Guillaumie, et al., 2010). TPB and behaviour changeAlthough the predictive utility of the TPB model has been well established, there are relatively few studies which manipulate the cognitions specified in the mod...

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 75%

Section: Resultsmentioning

confidence: 94%

“…Elliott & Armitage, 2009;Kelley & Abraham, 2004;Kothe, Mullan, & Amaratunga, 2011) results have been inconsistent and none have looked at fruit and vegetable intake.…”

Section: Tpb and Behaviour Changementioning

confidence: 99%

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Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour

2012

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“…While some show significant increases in physical activity and fruit and vegetable consumption Dishman et al, 2009;Heneman et al, 2005) and one suggests a positive relationship between goal setting and healthy eating and physical activity (Kelley & Abraham, 2004), others show no effect of goal setting . None of these studies focus on the important population of young adults.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Goal Setting on Fruit and Vegetable Consumption and Physical Activity Level in a Web-Based Intervention

O'Donnell

Greene

Blissmer

2014

Journal of Nutrition Education and Behavior

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Impact of a Video-Based Intervention to Improve the Prevalence of Skin Self-examination in Men 50 Years or Older

Janda¹

2011

Arch Dermatol

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Background: Men 50 years or older are at increased risk of being diagnosed with thick melanomas and of dying from melanoma.Objectives: Randomised trial of a video-based intervention compared to control.Methods: Nine-hundred-and-thirty men (consent rate 37%) from the Australian electoral roll were randomly assigned to receive the video-based intervention plus written materials plus two postcard reminders or control (written materials only (no reminders)). Telephone interviews were conducted at baseline, 7 and 13 months.Results: Participants' mean age was 64 years, and most (84%) were married or living with a partner.We observed a significant time by group interaction for performing at least partial SSE (p<0.001). By seven months, the proportion of men conducting partial SSE increased from 52% at baseline to 80% in the intervention group compared to the control group (56% at baseline, 69% at seven months, p<0.001). However, by 13 months, both groups reported similar prevalence of partial SSE (83% vs 80%). In addition, at 7 months the intervention group was significantly more likely to examine at least one part of their back (p<0.001) and examine a greater number of body sites (p<0.001). Both groups increased similarly over time in whole-body SSE (increase from baseline to 13 months: intervention group 25%, control group 20%; p = 0.85).Limitations: Relying on self-report for the main outcome measure may have introduced social desirability bias. Conclusions:Men 50 years or older are responsive to appropriately targeted intervention materials to improve SSE behaviours, with the video-based approach leading to a more rapid uptake of, and greater adherence to, optimal SSE guidelines.

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RCT of a theory-based intervention promoting healthy eating and physical activity amongst out-patients older than 65 years

Cited by 108 publications

References 48 publications

Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour

Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour

The Effect of Goal Setting on Fruit and Vegetable Consumption and Physical Activity Level in a Web-Based Intervention

Impact of a Video-Based Intervention to Improve the Prevalence of Skin Self-examination in Men 50 Years or Older

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