scholarly journals Process evaluation of a cluster randomised controlled trial of a school-based fruit and vegetable intervention: Project Tomato

2011 ◽  
Vol 15 (3) ◽  
pp. 459-465 ◽  
Author(s):  
Meaghan S Christian ◽  
Charlotte EL Evans ◽  
Joan K Ransley ◽  
Darren C Greenwood ◽  
James D Thomas ◽  
...  

AbstractObjectiveThe present analysis evaluates the overall appreciation and implementation of an intervention, Project Tomato, designed to maintain fruit and vegetable intake in children aged 8–9 years.DesignA random sample of fifty-four English primary schools (658 children) were randomised to either the intervention group or the control. The intervention group received a multi-component programme delivered in school by teachers and items sent home for parents/children. Dietary measurements were collected at baseline and follow-up. The intervention participants completed questionnaires on the intervention materials, to identify implementation and appreciation of the intervention, and other environmental mechanisms.SettingFifty-four primary schools were randomly selected, with twenty-seven schools allocated to the intervention group.SubjectsA total of 311 children received the intervention.ResultsImplementation of the intervention was low, 21·3 % of school items and 56·0 % of home items were implemented. The intervention materials were well received by teachers, parents and children. Other mechanisms that may affect fruit and vegetable intake were explored. Children who ate their main meal with their parents 3–7 nights/week on average consumed 37·6 (95 % CI 9·8, 65·4) g more fruit and vegetables than children who ate with their parents 0–2 times/week.ConclusionsImplementation of the trial components was poor. However, the results identified the importance of parental environment and mealtime structure on children's fruit and vegetable intake.

Author(s):  
Yuying Sun ◽  
Samantha S. W. Fung ◽  
Patrick K. W. Man ◽  
Alice N. T. Wan ◽  
Sunita Stewart ◽  
...  

We conducted a cluster randomised controlled trial of parents in 56 primary schools and community service centres (clusters) to evaluate the effectiveness of a single-session workshop on promoting more fruit and vegetable (FV) intake. A total of 803 parents were randomised to the FV intervention arm (16 clusters, n = 197), the more appreciation control arm (19 clusters, n = 270), or the less criticism control arm (21 clusters, n = 336). The FV intake of the FV arm was compared with that of the combined more appreciation or less criticism (MALC) arm. Both arms received a 2 h workshop: (i) the FV arm on increasing FV consumption and related food literacy; (ii) the MALC arm on increasing appreciation or reducing criticism of children. Primary outcomes were FV consumption per day in the past week assessed at baseline, 2-weeks, and 6-weeks. Secondary outcomes were behavioural determinants proposed by the Health Action Process Approach (HAPA), including outcome expectancies, self-efficacy, intention, and planning behaviour. The FV arm had a greater increase in FV consumption than the MALC arm, with large effect sizes (d: 0.97–1.08) and improvements in behavioural determinants with small effect sizes at all time points (d: 0.19–0.43). Our study was the first population-based randomised controlled trial to show that a brief, single 2 h HAPA-based workshop was effective in promoting fruit and vegetable intake in parents.


2020 ◽  
Vol 23 (6) ◽  
pp. 1117-1126
Author(s):  
Anne Himberg-Sundet ◽  
Anne Lene Kristiansen ◽  
Lene Frost Andersen ◽  
Mona Bjelland ◽  
Nanna Lien

AbstractObjective:The aim of the current study was to evaluate the effect on frequency, variety and amount of vegetables served and staff’s food-related practices in the multicomponent BRA intervention.Design:Cluster randomised controlled trial, conducted between Spring 2015 and Spring 2016. For allocation of the kindergartens, a stratified block randomisation was used. Data were collected in three ways: (i) a questionnaire for pedagogical leaders assessing the variety and frequency of vegetables served, including staff’s food-related practices assumed to be related to vegetable intake; (ii) a questionnaire for kindergarten assistants assessing staff’s food-related practices; (iii) a 5-d weighted vegetable diary assessing amount of vegetables served in a department.Setting:The target group for this study was public and private kindergartens in the counties of Vestfold and Buskerud, Norway.Participants:A total of seventy-three kindergartens participated.Results:At follow-up I, the amount of vegetables served increased by approximately 20 g per person per day (P = 0·002), and the variety in served vegetables increased by one-and-a-half kind per month (P = 0·014) in the intervention group compared to the control group. No effects on the frequency of vegetables served or on staff’s food-related practices were found.Conclusions:The BRA intervention was successful in increasing the amount and variety of vegetables served within intervention kindergartens. Further research is needed to understand the mechanisms that can affect the staff’s food-related practices.


2011 ◽  
Vol 39 (6) ◽  
pp. 1377-1384 ◽  
Author(s):  
Francina R. Baldrick ◽  
J. Stuart Elborn ◽  
Jayne V. Woodside ◽  
Katherine Treacy ◽  
Judy M. Bradley ◽  
...  

2020 ◽  
Author(s):  
C Ni Mhurchu ◽  
Lisa Te Morenga ◽  
R Tupai-Firestone ◽  
J Grey ◽  
Y Jiang ◽  
...  

© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: The OL@-OR@ mobile health programme was co-designed with Māori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Māori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. Methods: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Māori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. Findings: Between Jan 24 and Aug 14, 2018, we enrolled 337 Māori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Māori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Māori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Māori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84–1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73–1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67–1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37–1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79–1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). Interpretation: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Māori and Pasifika individuals. Funding: Healthier Lives He Oranga Hauora National Science Challenge.


2012 ◽  
Vol 16 (6) ◽  
pp. 1073-1081 ◽  
Author(s):  
Charlotte EL Evans ◽  
Joan K Ransley ◽  
Meaghan S Christian ◽  
Darren C Greenwood ◽  
James D Thomas ◽  
...  

AbstractObjectiveThe present study aimed to determine whether a multi-component school-based intervention can maintain children's fruit and vegetable intake post eligibility for free school fruit and vegetables.DesignA random sample of fifty-four English primary schools was randomised to receive the 10-month intervention Project Tomato, a multi-component theory-based intervention, or the control. Each group consisted of twenty-seven schools.SettingChildren's intake of fruit and vegetables is below recommendations. The English School Fruit and Vegetable Scheme has a short-term impact on intake while children are eligible for the scheme.SubjectsDietary measurements were collected from 658 Year 2 pupils aged 7–8 years at baseline and at follow-up 20 months later.ResultsFollowing an intention to treat analysis, the intervention as delivered compared with the control had no impact on the intake of fruit and vegetables (2 g/d, 95 % CI −23, 26 g/d) or on the number of portions of fruit (0·0 portions, 95 % CI −0·3, 0·3) or vegetables (0·0 portions, 95 % CI −0·2, 0·3) consumed daily by children. Intake of fruit and vegetables at school and home dropped by ∼100 g/d and 50 g/d, respectively, between baseline and follow-up in both the intervention and control groups.ConclusionsImplementation of the intervention was low, with associated lack of impact on fruit and vegetable consumption in children. Alternatives to the delivery of an intervention by teachers and parents are needed to improve the dietary intake of primary-school children.


2020 ◽  
Author(s):  
C Ni Mhurchu ◽  
Lisa Te Morenga ◽  
R Tupai-Firestone ◽  
J Grey ◽  
Y Jiang ◽  
...  

© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: The OL@-OR@ mobile health programme was co-designed with Māori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Māori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. Methods: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Māori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. Findings: Between Jan 24 and Aug 14, 2018, we enrolled 337 Māori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Māori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Māori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Māori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84–1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73–1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67–1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37–1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79–1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). Interpretation: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Māori and Pasifika individuals. Funding: Healthier Lives He Oranga Hauora National Science Challenge.


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