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Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis
by
Hartmann-Boyce, Jamie
, Frie, Kerstin
, Oke, Jason
, Jebb, Susan
, Aveyard, Paul
in
Body Weight - physiology
/ Cross-Over Studies
/ Exercise - physiology
/ Female
/ Humans
/ Male
/ Middle Aged
/ Original Paper
/ Weight Loss - physiology
2020
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Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis
by
Hartmann-Boyce, Jamie
, Frie, Kerstin
, Oke, Jason
, Jebb, Susan
, Aveyard, Paul
in
Body Weight - physiology
/ Cross-Over Studies
/ Exercise - physiology
/ Female
/ Humans
/ Male
/ Middle Aged
/ Original Paper
/ Weight Loss - physiology
2020
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Do you wish to request the book?
Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis
by
Hartmann-Boyce, Jamie
, Frie, Kerstin
, Oke, Jason
, Jebb, Susan
, Aveyard, Paul
in
Body Weight - physiology
/ Cross-Over Studies
/ Exercise - physiology
/ Female
/ Humans
/ Male
/ Middle Aged
/ Original Paper
/ Weight Loss - physiology
2020
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Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis
Journal Article
Patterns in Weight and Physical Activity Tracking Data Preceding a Stop in Weight Monitoring: Observational Analysis
2020
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Overview
Self-regulation for weight loss requires regular self-monitoring of weight, but the frequency of weight tracking commonly declines over time.
This study aimed 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.
We analyzed weight and physical activity data from 1605 Withings Health Mate app users, who had set a weight loss goal and stopped tracking their weight for at least six 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.
People lost weight during continuous tracking (mean -0.47 kg, SD 1.73) but gained weight preceding the stop in weight tracking (mean 0.25 kg, SD 1.62; difference 0.71 kg; 95% CI 0.60 to 0.81). Average daily steps (beta=-220 daily steps per time period; 95% CI -320 to -120) and physical activity tracking frequency (beta=-3.4 days per time period; 95% CI -3.8 to -3.1) significantly declined from the continuous tracking to the pre-stop period. From pre-stop to post-stop, physical activity tracking frequency further decreased (beta=-6.6 days per time period; 95% CI -7.12 to -6.16), whereas daily step count on the day's activity was measured increased (beta=110 daily steps per time period; 95% CI 50 to 170).
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.
Publisher
JMIR Publications
Subject
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