Prevention of overweight and obesity in children Nutritional, Metabolic, Endocrine
Conditions
Interventions
Although the study aims to investigate the impact of the Change4Life Food Scanner app on children’s dietary intake through parental behaviour change, participants are presented with a cover story in o
Sponsors
University of Sheffield
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Parent of a primary school child, aged 4-11 years old 2. Live in Yorkshire and the Humber 3. Own a smartphone 4. Have access to the internet inside and outside the home 5. Have enough data storage (at least 100mb) on smartphone 6. Have the availability to participate and engage in the study for three consecutive months 7. Are an active grocery shopper for the household or involved in decisions over children’s food 8. Their grocery shopping is dominantly undertaken in a grocery store/supermarket and not online
Exclusion criteria
Exclusion criteria: 1. Currently using the Change4Life Food Scanner app 2. Have a child with a health condition with special dietary requirements that could confound outcomes
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1. Study feasibility is measured by calculating study completion at baseline, 1-month and 3-month follow-up, retention rates at 1 month and 3-month follow-up, and study compliance at 3-month follow-up. 2. Study acceptability is measured using a survey on study experience at 3-month follow-up. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Dietary assessment (kcal and sugar [g]) using 3-day food diaries via myfood24 (2 weekdays and 1 weekend) of child food intake at baseline, 1-month follow-up and 3-month follow-up. 2. Health economic impacts of the Change4Life Food Scanner app (health related quality of life, healthcare resource use, school absenteeism and parent workplace absenteeism) measured using a short validated paediatric health related quality of life instrument (CHU-9D), healthcare resource use data and surveys enquiring about school absenteeism due to a health problem and workplace absenteeism due to child's health at baseline and 3-month follow-up. 3. App engagement measured using a short survey (number of days app used, average time spent using the app and number of items scanned) every two weeks over the 3-month trial period. 4. Predictors of behaviour change measured using the COM-B model (capability, opportunity, and motivation to change dietary behaviour) and Theory of Planned Behaviour (attitudes and perceived behavioural control of child sugar intake) at baseline and 3-month follow-up. | — |
Countries
England, United Kingdom
Contacts
Public ContactSundus Mahdi
Outcome results
None listed