Who Self-Weighs and What Do They Gain From It? A Retrospective Comparison Between Smart Scale Users and the General Population in England

Digital self-monitoring, particularly of weight, is increasingly prevalent. The associated data could be reused for clinical and research purposes. The aim was to compare participants who use connected smart scale technologies with the general population and explore how use of smart scale technology...

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Bibliographic Details
Published in:Journal of medical Internet research 2016-01, Vol.18 (1), p.e17-e17
Main Authors: Sperrin, Matthew, Rushton, Helen, Dixon, William G, Normand, Alexis, Villard, Joffrey, Chieh, Angela, Buchan, Iain
Format: Article
Language:English
Subjects:
Adult
Analysis
Bias
Body Mass Index
Body Weight
Changes
Clinical research
Cross-Sectional Studies
Databases, Factual
England
Female
Health care industry
Health Surveys
Humans
Male
Measurement
Medical records
Middle Aged
Original Paper
Population
Recurrent
Regression analysis
Retrospective Studies
Self Care - statistics & numerical data
Selfmonitoring
Technology
Variables
Weighing
Weight control
Weight loss
Weights and Measures - instrumentation
Women
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Summary:Digital self-monitoring, particularly of weight, is increasingly prevalent. The associated data could be reused for clinical and research purposes. The aim was to compare participants who use connected smart scale technologies with the general population and explore how use of smart scale technology affects, or is affected by, weight change. This was a retrospective study comparing 2 databases: (1) the longitudinal height and weight measurement database of smart scale users and (2) the Health Survey for England, a cross-sectional survey of the general population in England. Baseline comparison was of body mass index (BMI) in the 2 databases via a regression model. For exploring engagement with the technology, two analyses were performed: (1) a regression model of BMI change predicted by measures of engagement and (2) a recurrent event survival analysis with instantaneous probability of a subsequent self-weighing predicted by previous BMI change. Among women, users of self-weighing technology had a mean BMI of 1.62 kg/m(2) (95% CI 1.03-2.22) lower than the general population (of the same age and height) (P
ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/jmir.4767