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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Aug 8, 2019
Date Accepted: Dec 31, 2019

The final, peer-reviewed published version of this preprint can be found here:

Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis

Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P

Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis

J Med Internet Res 2020;22(3):e15790

DOI: 10.2196/15790

PMID: 32181749

PMCID: 7109615

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Why do people stop weighing themselves? An observational analysis of weight and physical activity tracking

  • Kerstin Frie; 
  • Jamie Hartmann-Boyce; 
  • Susan Jebb; 
  • Jason Oke; 
  • Paul Aveyard

ABSTRACT

Background:

Self-regulation for weight loss requires regular self-monitoring of weight but the frequency of weight tracking commonly declines over time.

Objective:

The aim of this research is to investigate whether it is a decline in weight loss or a drop in motivation to lose weight (using physical activity tracking as a proxy) that may be prompting a stop in weight monitoring.

Methods:

We analysed weight and physical activity data from 1605 Withings HealthMate app users, who had set a weight loss goal and stopped tracking their weight for at least 6 weeks after a minimum of 16 weeks of continuous tracking. Mixed effects models compared weight change, average daily steps, and physical activity tracking frequency between a 4-week period of continuous tracking and a 4-week period preceding the stop in weight tracking. Additional mixed effects models investigated subsequent changes in physical activity data during 4 weeks of the 6-week long stop in weight tracking.

Results:

People lost weight during continuous tracking (M = -0.47kg, SD = 1.73) but gained weight preceding the stop in weight tracking (M = 0.25kg, SD = 1.62; difference=0.71kg, 95% CI 0.60, 0.81). Both average daily steps (ß = -220 daily steps/time period, 95% CI -320, -120) and physical activity tracking frequency (ß =-3.4 days/time period, 95% CI -3.8, -3.1) significantly declined from the continuous tracking to the pre-stop time period. From pre-stop to post-stop, physical activity tracking frequency further decreased (ß = -6.6 days/time period, P < 0.001), while daily step count on the days activity was measured increased (ß =112 daily steps/time period, P < 0.001).

Conclusions:

In the weeks before people stop tracking their weight, their physical activity and physical activity monitoring frequency decline. At the same time, weight increases, suggesting that declining motivation for weight control and difficulties with making use of negative weight feedback might explain why people stop tracking their weight. The increase in daily steps, but decrease in physical activity tracking frequency post-stop might result from selective measurement of more active days.


 Citation

Please cite as:

Frie K, Hartmann-Boyce J, Jebb S, Oke J, Aveyard P

Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis

J Med Internet Res 2020;22(3):e15790

DOI: 10.2196/15790

PMID: 32181749

PMCID: 7109615

Per the author's request the PDF is not available.