ArticleJournal of medical Internet research2016
Effect of the Web-Based Intervention MyPlan 1.0 on Self-Reported Fruit and Vegetable Intake in Adults Who Visit General Practice: A Quasi-Experimental Trial.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02211040 (Effect Evaluation of an eHealth Intervention to Promote Self-regulation of Physical Activity and Fruit and Vegetable Intake Among Adults in General Practice), which is not on this map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect Evaluation of an eHealth Intervention to Promote Self-regulation of Physical Activity and Fruit and Vegetable Intake Among Adults in General Practice
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Digital Interventions Targeting Healthy and Sustainable Eating Behavior: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Framework Development for Reducing Attrition in Digital Dietary Interventions: Systematic Review and Thematic Synthesis.Journal of medical Internet research · 2024Pooled it
- Global Vegetable Intake and Supply Compared to Recommendations: A Systematic Review.Nutrients · 2020Pooled it
- Which behaviour change techniques are effective to promote physical activity and reduce sedentary behaviour in adults: a factorial randomized trial of an e- and m-health intervention.The international journal of behavioral nutrition and physical activity · 2020Trial
- Efficacy of a Self-Regulation-Based Electronic and Mobile Health Intervention Targeting an Active Lifestyle in Adults Having Type 2 Diabetes and in Adults Aged 50 Years or Older: Two Randomized Controlled Trials.Journal of medical Internet research · 2019Trial
- Effect of Demographic Characteristics and Personality Traits on Eating Patterns in the Context of Dietary Intervention: The EATMED Case Study.International journal of environmental research and public health · 2025Article
- Digital Health Promotion and Prevention in Settings: Scoping Review.Journal of medical Internet research · 2022Article
- Trends in the Number of Behavioural Theory-Based Healthy Eating Interventions Inclusive of Dietitians/Nutritionists in 2000-2020.Nutrients · 2021Review
- Effectiveness of the mHealth intervention 'MyDayPlan' to increase physical activity: an aggregated single case approach.The international journal of behavioral nutrition and physical activity · 2021Article
- Acceptability and feasibility of the mHealth intervention 'MyDayPlan' to increase physical activity in a general adult population.BMC public health · 2020Article
- Article
- A Self-Regulation-Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2019Article
- How Users Experience and Use an eHealth Intervention Based on Self-Regulation: Mixed-Methods Study.Journal of medical Internet research · 2018Article
- Process Evaluation of an eHealth Intervention Implemented into General Practice: General Practitioners' and Patients' Views.International journal of environmental research and public health · 2018Article
- A Self-Regulation-Based eHealth Intervention to Promote a Healthy Lifestyle: Investigating User and Website Characteristics Related to Attrition.Journal of medical Internet research · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeb-based interventions typically have small intervention effects on adults' health behavior because they primarily target processes leading to an intention to change leaving individuals in an intention-behavior gap, they often occur without contact with health care providers, and a limited amount of feedback is provided only at the beginning of these interventions, but not further on in the behavior change process. Therefore, we developed a Web-based intervention ("MyPlan 1.0") to promote healthy behavior in adults. The intervention was based on a self-regulation perspective that also targets postintentional processes and guides individuals during all phases of behavior change.
objectiveThe study investigated the effectiveness of MyPlan1.0 on fruit and vegetable intake of Flemish adults visiting general practice (3 groups: control group, intervention group recruited by researchers, and intervention group recruited and guided by general practitioners [GPs]). Second, it examined whether there was a larger intervention effect for the intervention group guided by GPs compared to the intervention group recruited by researchers.
methodsAdults (≥ 18 years) were recruited in 19 Flemish general practices. In each general practice, patients were systematically allocated by a researcher either for the intervention group (researchers' intervention group) or the waiting-list control group that received general advice. In a third group, the GP recruited adults for the intervention (GPs intervention group). The two intervention groups filled in evaluation questionnaires and received MyPlan 1.0 for a behavior of choice (fruit, vegetable, or physical activity). The waiting-list control group filled in the evaluation questionnaires and received only general information. Self-reported fruit and vegetable intake were assessed at baseline (T0), 1 week (T1), and 1 month (T2) postbaseline. Three-level (general practice, adults, time) linear regression models were conducted in MLwiN.
resultsA total of 426 adults initially agreed to participate (control group: n=149; GPs' intervention group: n=41; researchers' intervention group: n=236). A high attrition rate was observed in both intervention groups (71.8%, 199/277) and in the control group (59.1%, 88/149). In comparison to no change in the control group, both the GPs' intervention group (fruit: χ(2)1=10.9, P=.004; vegetable: χ(2)1=5.3, P=.02) and the researchers' intervention group (fruit: χ(2)1=18.0, P=.001; vegetable: χ(2)1=12.8, P<.001) increased their intake of fruit and vegetables.
conclusionsA greater increase in fruit and vegetable intake was found when the Web-based intervention MyPlan 1.0 was used compared to usual care of health promotion in general practice (ie, flyers with general information). However, further investigation on which (or combinations of which) behavior change techniques are effective, how to increase response rates, and the influence of delivery mode in routine practice is required.
trial registrationClinicalTrials.gov NCT02211040; https://clinicaltrials.gov/ct2/show/NCT02211040 (Archived by WebCite® at http://www.webcitation.org/6f8yxTRii).
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