Journal of Technology in Behavioral Science

, Volume 3, Issue 3, pp 179–189 | Cite as

The mFIT (Motivating Families with Interactive Technology) Study: a Randomized Pilot to Promote Physical Activity and Healthy Eating Through Mobile Technology

  • Danielle E. Jake-Schoffman
  • Gabrielle Turner-McGrievy
  • Sara Wilcox
  • Justin B. Moore
  • James R. Hussey
  • Andrew T. Kaczynski


Scalable and convenient programs for family obesity prevention have proven difficult to design/implement. Mobile technology could be helpful tools to engage busy families. The Motivating Families with Interactive Technology (mFIT) study tested the feasibility, acceptability, and effectiveness of two remotely delivered family-based programs targeting physical activity (PA) and healthy eating (HE). Parent–child dyads were randomized to one of two 12-week mobile interventions delivered via weekly email newsletters; programs differed in focus of content (individual vs. family) and method of tracking (paper vs. mobile website). At baseline and 12 weeks, height and weight were objectively measured and participants completed questionnaires. Multivariable models were used to examine changes from baseline to 12 weeks by parent/child, group, and time; Cohen’s d was used to calculate effect sizes. Of the 33 randomized dyads (parents 43 ± 5.8 years, 87.9% female, 69.7% white, BMI 31.1 ± 8.3 kg/m2; children 11 ± 0.9 years, 63.6% female, 66.7% white, BMI 77.6 ± 27.8 percentile), 31 (94.0%) had follow-up data. Baseline means for all measures of parent–child communication and engagement were high. There were no group by time differences for PA or HE. However, combining groups and parents/children, there was a significant increase in average daily steps (1397 steps, p = 0.04, d = 0.4) and servings of fruit (0.3 servings, p = 0.02, d = 0.2), a marginally significant decrease in children’s daily servings of sugar-sweetened beverages (− 0.1 servings, p = 0.05, d = −0.1), and good adherence to self-monitoring protocols. The mFIT program showed excellent feasibility and acceptability as a low-cost, remotely delivered family intervention for PA and HE promotion.


Physical activity Family relations Parents eHealth mHealth Mobile apps 



We would like to thank the research participants and staff volunteers for their contributions to the study, especially Klara Milojkovic for her dedication to the study and assistance with the research process.

Funding Information

This study was partially funded by Provost’s grants from the Department of Health Promotion, Education, and Behavior in the Arnold School of Public Health, University of South Carolina.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no competing interests.

Research Involving Human Participants

All procedures performed in this study were approved by the institutional review board at the University of South Carolina. All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional review board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent (parents) and assent (children) were obtained from all individual participants included in the study.

Supplementary material

41347_2018_52_MOESM1_ESM.docx (19 kb)
ESM 1 (DOCX 19 kb)


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Danielle E. Jake-Schoffman
    • 1
  • Gabrielle Turner-McGrievy
    • 2
  • Sara Wilcox
    • 3
    • 4
  • Justin B. Moore
    • 5
  • James R. Hussey
    • 6
  • Andrew T. Kaczynski
    • 2
  1. 1.Division of Preventive and Behavioral MedicineUniversity of Massachusetts Medical SchoolWorcesterUSA
  2. 2.Department of Health Promotion, Education, and Behavior, Arnold School of Public HealthUniversity of South CarolinaColumbiaUSA
  3. 3.Department of Exercise Science, Prevention Research Center, Arnold School of Public HealthUniversity of South CarolinaColumbiaUSA
  4. 4.Prevention Research Center, Arnold School of Public HealthUniversity of South CarolinaColumbiaUSA
  5. 5.Department of Family and Community MedicineWake Forest School of MedicineWinston-SalemUSA
  6. 6.Department of Epidemiology and Biostatistics, Arnold School of Public HealthUniversity of South CarolinaColumbiaUSA

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