ArticleBMJ open2017
Digital technology to facilitate Proactive Assessment of Obesity Risk during Infancy (ProAsk): a feasibility study.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02314494 (A Feasibility Study of an Interactive, Educational Programme to Facilitate Proactive Assessment of Overweight Risk During Infancy), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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.
A Feasibility Study of an Interactive, Educational Programme to Facilitate Proactive Assessment of Overweight Risk During Infancy
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding rapid infant weight gain prevention: a systematic review of quantitative and qualitative evidence.European journal of public health · 2020Pooled it
- Support and concerns: Dutch health care professionals' views on the use of a childhood obesity prediction toolbox.BMC pediatrics · 2026Article
- Prediction Models for Early Identification of Overweight and Obese Children-A National Study.Nutrients · 2026Article
- Parent-Reported Measures of Weight-Related Health Behaviors in Early Childhood: A Scoping Review.Childhood obesity (Print) · 2025Article
- Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.JMIR public health and surveillance · 2025Article
- Validation of Variables for Use in Pediatric Obesity Risk Score Development in Demographically and Racially Diverse United States Cohorts.The Journal of pediatrics · 2024Article
- Community-based diet and obesity-related policy, system, and environmental interventions for obesity prevention during the first 1000 days: A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2024Article
- Consumer Health Informatics to Advance Precision Prevention.Yearbook of medical informatics · 2024Review
- Mixed methods feasibility and usability testing of a childhood obesity risk estimation tool.BMC public health · 2023Article
- Community midwives' and health visitors' experiences of research recruitment: a qualitative exploration using the Theoretical Domains Framework.Primary health care research & development · 2021Article
- Predicting the risk of childhood overweight and obesity at 4-5 years using population-level pregnancy and early-life healthcare data.BMC medicine · 2020Article
- Which infancy growth parameters are associated with later adiposity? The Cambridge Baby Growth Study.Annals of human biology · 2020Article
- Proactive Assessment of Obesity Risk during Infancy (ProAsk): a qualitative study of parents' and professionals' perspectives on an mHealth intervention.BMC public health · 2019Article
- Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence.Journal of diabetes science and technology · 2019Article
- Article
- Response to 'Clinical relevance and validity of obesity risk prediction tools' by Redsell et al.Public health nutrition · 2018Article
- Clinical relevance and validity of obesity risk prediction tools.Public health nutrition · 2018Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
objectiveTo assess the feasibility and acceptability of using digital technology for Proactive Assessment of Obesity Risk during Infancy (ProAsk) with the UK health visitors (HVs) and parents.
designMulticentre, pre- and post-intervention feasibility study with process evaluation.
settingRural and urban deprived settings, UK community care.
participants66 parents of infants and 22 HVs.
interventionProAsk was delivered on a tablet device. It comprises a validated risk prediction tool to quantify overweight risk status and a therapeutic wheel detailing motivational strategies for preventive parental behaviour. Parents were encouraged to agree goals for behaviour change with HVs who received motivational interviewing training. OUTCOME MEASURES: We assessed recruitment, response and attrition rates. Demographic details were collected, and overweight risk status. The proposed primary outcome measure was weight-for-age z-score. The proposed secondary outcomes were parenting self-efficacy, maternal feeding style, infant diet and exposure to physical activity/sedentary behaviour. Qualitative interviews ascertained the acceptability of study processes and intervention fidelity.
resultsHVs screened 324/589 infants for inclusion in the study and 66/226 (29%) eligible infants were recruited. Assessment of overweight risk was completed on 53 infants and 40% of these were identified as above population risk. Weight-for-age z-score (SD) between the infants at population risk and those above population risk differed significantly at baseline (-0.67 SD vs 0.32 SD). HVs were able to collect data and calculate overweight risk for the infants. Protocol adherence and intervention fidelity was a challenge. HVs and parents found the information provided in the therapeutic wheel appropriate and acceptable.
conclusionStudy recruitment and protocol adherence were problematic. ProAsk was acceptable to most parents and HVs, but intervention fidelity was low. There was limited evidence to support the feasibility of implementing ProAsk without significant additional resources. A future study could evaluate ProAsk as a HV-supported, parent-led intervention. TRIAL REGISTRATION NUMBER: NCT02314494 (Feasibility Study Results).
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