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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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The Good Start Matters mHealth Parenting Program: Protocol for a Randomized Controlled Trial.

Olivia De-Jongh González1, Claire N Tugault-Lafleur2, Janet W T Mah3

  • 1School of Population and Public Health, Faculty of Medicine, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC, Canada.

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PubMed
Summary
This summary is machine-generated.

This study evaluated a mobile health (mHealth) parenting program to improve family practices and child health behaviors. Results are anticipated in 2026, potentially enhancing early childhood obesity prevention strategies.

Keywords:
child health behaviorscoparentinglifestyle interventionmHealthparenting practices

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Area of Science:

  • Child Health
  • Public Health Interventions
  • Digital Health

Background:

  • Family-based interventions are key for childhood obesity prevention but have limitations.
  • Mobile health (mHealth) interventions offer potential to improve outcomes by engaging multiple caregivers and addressing coparenting.
  • Existing mHealth interventions for families are rare, particularly those focusing on coparenting dynamics.

Purpose of the Study:

  • To evaluate the efficacy of the Good Start Matters mHealth Parenting Program.
  • To assess improvements in parenting and coparenting practices (primary outcomes).
  • To examine changes in child health behaviors (secondary outcomes) in 2.5- to 6-year-olds.

Main Methods:

  • A randomized controlled trial involving 118 two-parent families and eligible one-parent families in British Columbia.
  • Families were randomized to an intervention group receiving immediate app access or a waitlist control group.
  • Data collected on parenting, coparenting, and child behaviors; analyzed using multilevel mixed-effects models.

Main Results:

  • Recruitment included 121 two-parent and 62 one-parent families between November 2023 and January 2025.
  • Data collection concluded in April 2025, with analysis beginning in May 2025.
  • Study results are projected for publication in 2026.

Conclusions:

  • The study will offer insights into the effectiveness of mHealth interventions for improving family dynamics and child health.
  • The Good Start Matters program may enhance family-centered approaches to early childhood obesity prevention.
  • This intervention has the potential to establish new standards for systemic approaches in pediatric health.