Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?


Currently submitted to: JMIR mHealth and uHealth

Date Submitted: Jun 20, 2019
Open Peer Review Period: Jun 24, 2019 - Aug 19, 2019
(closed for review but you can still tweet)

NOTE: This is an unreviewed Preprint

Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note “no longer under consideration” will appear above).

Peer-review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a “Peer-Review Me” button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.

Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).

Final version: If our system detects a final peer-reviewed “version of record” (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.

Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.

Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.

A pedometer guided physical activity intervention in obese pregnant women: a randomized feasibility study (The Fit MUM study)

  • Jai N Darvall; 
  • Andrew Wang; 
  • Mohamed Nusry Nazeem; 
  • Cheryce Harrison; 
  • Lauren Clarke; 
  • Chennelle Mendoza; 
  • Anna Parker; 
  • Ben Harrap; 
  • Glyn Teale; 
  • David Story; 
  • Elizabeth Hessian; 



Obesity in pregnancy is a growing problem worldwide, with excessive gestational weight gain (GWG) occurring in the majority of pregnancies. This significantly increases risks to mother and child. A major contributor to both pre-pregnancy obesity and excessive GWG is physical inactivity, however past interventions targeting maternal weight gain and activity levels during the antenatal period have been ineffective in women who are already overweight. Pedometer-guided activity may offer a novel solution to increasing activity levels in this population.


Our aim in this initial feasibility randomized controlled trial was to test a pedometer-based intervention to increase activity and reduce excessive GWG in thirty pregnant women.


Thirty pregnant women with obesity were supplied with a Fitbit Zip® pedometer, and randomized to one of three groups; Control: pedometer-only; App: pedometer-synched to patients’ personal smartphones, with self-monitoring of activity; App-coach: addition of a health-coach delivered behavioral change program. Feasibility outcomes included participant compliance with wearing pedometers, data synching, and data integrity; activity outcomes (step counts, active minutes) were analysed using linear mixed models and generalised estimating equations.


Twenty-seven participants completed the study; mean BMI in all groups was ≥ 35 kg/m2. Recruitment and retention rate were feasible, as was activity data synching to participants’ smartphones, although mean (SD) percentage of missing data days were 23.4% (20.6%), 39.5% (32.4%), and 21.1% (16.0%) in control, App group and App-coach group patients respectively. Estimated mean baseline activity levels were 14.5 active minutes/day and 5455 steps/day, with no significant differences found in activity levels between groups.


Activity data synching with a personal smartphone is feasible in a cohort of pregnant women with obesity. A future definitive study seeking to reduce GWG and improve activity in this population must focus on improving compliance with activity data recording, and behavioural interventions delivered. Clinical Trial: Australian and New Zealand Clinical Trials Registry ACTRN12617000038392.


Please cite as:

Darvall JN, Wang A, Nazeem MN, Harrison C, Clarke L, Mendoza C, Parker A, Harrap B, Teale G, Story D, Hessian E

A pedometer guided physical activity intervention in obese pregnant women: a randomized feasibility study (The Fit MUM study)

JMIR Preprints. 20/06/2019:15112

DOI: 10.2196/preprints.15112


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.