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Using the Onitor ® Track for weight loss: A mixed methods study among overweight and obese women.
- Source :
- Health Informatics Journal; Sep2020, Vol. 26 Issue 3, p1841-1865, 25p
- Publication Year :
- 2020
-
Abstract
- Non-communicable disease rates associated with being overweight or obese are rising. Technologies warrant consideration as weight loss interventions. Cloudtag's<superscript>®</superscript> Onitor<superscript>®</superscript> Track, a dual-position wearable plus smartphone application, monitors energy expenditure and provides tailored exercise programmes. This research aimed to undertake an experimental study of 20 overweight and obese women using the technology; explore its feasibility and acceptability through interviews; and investigate its behaviour change techniques. The primary outcome was decreased body weight (kg) at 4 weeks. Secondary outcomes were body mass index (kg/m<superscript>2</superscript>) and waist circumference (cm) changes. 15 overweight and obese women took part. Results indicated weight loss (median 2.7 kg, p < 0.05) and waist circumference decrease (median 4 cm, p < 0.05), but attrition was high (60%). Users reported dietary changes but few activity adjustments. They valued feedback. 27 behaviour change techniques were identified. The Onitor<superscript>®</superscript> Track shows potential for weight loss in overweight and obese women, but further work is needed. [ABSTRACT FROM AUTHOR]
- Subjects :
- OBESITY treatment
ANTHROPOMETRY
ATTITUDE (Psychology)
BEHAVIOR modification
CHANGE
EXERCISE therapy
EXPERIMENTAL design
HEALTH promotion
HEALTH surveys
INTERVIEWING
RESEARCH methodology
QUESTIONNAIRES
RESEARCH
SELF-evaluation
STATISTICS
WEIGHT loss
WOMEN'S health
WEARABLE technology
SAMPLE size (Statistics)
THEMATIC analysis
INTER-observer reliability
REPEATED measures design
MOBILE apps
DATA analysis software
WAIST circumference
DESCRIPTIVE statistics
MANN Whitney U Test
Subjects
Details
- Language :
- English
- ISSN :
- 14604582
- Volume :
- 26
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Health Informatics Journal
- Publication Type :
- Academic Journal
- Accession number :
- 144846454
- Full Text :
- https://doi.org/10.1177/1460458219890790