Short message service reduces dropout in childhood obesity treatment: A randomized controlled trial
Abstract
OBJECTIVE: Lifestyle programs can reduce the level of overweight in children; however, maintenance results and adherence to treatment are difficult to achieve. New technologies, such as the Short Message Service (SMS), might be a promising tool for enhancing interventions. The effect of an SMS approach aimed at improving treatment results and reducing dropout rates in a pediatric lifestyle intervention, is explored. METHOD: Overweight and obese children (N = 141; age 7-12 years) participating in a lifestyle program were randomly assigned to an intervention group receiving an SMS Maintenance Treatment (SMSMT) for 38 weeks (n = 73) or to a control group receiving no SMSMT (n = 68). Children were asked to send weekly self-monitoring data on exercise, eating behavior, and emotional well-being. In return, they received tailored feedback messages. A differential decrease in BMI was analyzed with repeated measures ANOVA and dropout with logistic regression analysis. RESULTS: We found no significant difference in BMI decrease between the two groups after 12 months; however, we showed that the SMSMT group had 3.25 times less probability of dropping out after 1 year (p = .01) than controls. In the first 3 months of SMSMT, the SMSMT completers sent 0.80 SMSs per week, which reduced to 0.50 SMSs in the final 3 months. Younger children sent more SMSs (p = .03). CONCLUSIONS: These results indicate that SMSMT is effective in reducing dropout rates from a pediatric lifestyle intervention. Future research should examine the effectiveness of SMSMT on weight management and related psychosocial variables.
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The addition of SMS may aid in the effectiveness of lifestyle interventions, as has been shown in the general population, although results are inconclusive.
“Furthermore, the addition of Short Message Service (SMS) may aid in the effectiveness of lifestyle interventions, as has been shown in the general population, although results are inconclusive (de Niet et al., 2012;Shaw and Bosworth, 2012;Okorodudu et al., 2015;Zwickert et al., 2016).”
From Improvements in PCOS characteristics and phenotype severity during a randomized controlled lifestyle intervention (2021) · cites this paper as de Niet et al., 2012
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- Authors
- de Niet, J., Timman, R., Bauer, S., van den Akker, E., de Klerk, C., Kordy, H., & Passchier, J.
- Affiliations
- Erasmus MC (NL)
- University Hospital Heidelberg (DE)
- Venue
- Health Psychology
- Published
- 2012-11
- Volume
- 31
- Issue
- 6
- Pages
- 797-805
- ISSN
- 0278-6133 (ISSN-L)
- 1930-7810
- OpenAlex
- W2088085398
- Cited by
- 55
- References
- 40
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 3 · 2021: 2 · 2020: 8 · 2019: 3 · 2018: 5 · 2017: 7 · 2016: 3 · 2015: 10 · 2014: 6 · 2013: 4 · 2012: 1
- FWCI
- 11.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Psychology (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- VU Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Erasmus MC, Rotterdam (2006–26)
- Innovation Fund Insurances (06–334)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- short message service, childhood obesity, overweight children, treatment discontinuation, lifestyle intervention, maintenance therapy, self-monitoring, personalized feedback, mobile health, BMI reduction, medication adherence
- MeSH terms
- Child, Female, Follow-Up Studies, Humans, Male, Obesity, Patient Dropouts, Body Mass Index, Treatment Outcome, Text Messaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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