Internet-Based Behavioral Interventions for Obesity: An Updated Systematic Review
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The objective of this systematic review is to update a previous systematic review on the effectiveness of internet-based interventions for weight loss and weight loss maintenance in overweight and obese people with new or additional studies. A literature search from 2008 to March 2010 was conducted. Studies were eligible for inclusion if: participants were adults with a body mass index ≤ 25, at least one study arm involved an internet-based intervention and the primary aims were weight loss or maintenance. Eight additional studies over the eighteen included in the previous review met the inclusion criteria. Data were extracted on sample characteristics, attrition, weight loss, duration of treatment and maintenance of weight loss. Effect sizes (Hedges g) and relative 95% confidence intervals were calculated for all two-way comparisons within each study. No attempt was made to pool the data in a meta-analysis because of the great heterogeneity of designs among studies. An examination of effect sizes show that the higher significant effects pertain studies that found a superiority of behavioral internet-based programs enhanced by features such as tailored feedback on self-monitoring of weight, eating and activity over education only internet-based interventions. However, control groups are very different among studies and this heterogeneity probably accounts for much of the variance in effect sizes. Hence, questions still remain as to the effectiveness of web-based interventions in achieving weight loss or maintenance. Implications for further research include using a “real” control group in order to make meta-analysis possible and developing multi-factorial design in order to separate components of interventions and identify which of them or patterns of them are keys to success.
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Technology-based interventions do not require traditional in-site visits and help reduce participants' time and financial costs.
“Moreover, these interventions do not require traditional in-site visits, and thus, help reduce participants’ time and financial costs [16].”
From A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss (2021) · cites this paper as [16]
Digital technology-based programs have resulted in increased physical activity and reduced body weight, at least for a short duration.
“Several systematic reviews and meta-analyses [15–19] have shown that these digital technology-based programs resulted in increased PA and reduced body weight, at least for a short duration.”
From A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss (2021) · cites this paper as [16]
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Self-citation
- Authors
- Manzoni, G. M., Pagnini, F., Corti, S., Molinari, E., & Castelnuovo, G.
- Affiliations
- IRCCS Istituto Auxologico Italiano (IT)
- University of Bergamo (IT)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Università Cattolica del Sacro Cuore (IT)
- Corresponding author
- Manzoni, Gian Mauro
- Venue
- Clinical Practice & Epidemiology in Mental Health
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2011-03-04
- Volume
- 07
- Issue
- 1
- Pages
- 19-28
- ISSN
- 1745-0179 (ISSN-L)
- PMC
- PMC3087973
- OpenAlex
- W1999806594
- Cited by
- 119
- References
- 49
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 7 · 2020: 1 · 2019: 8 · 2018: 14 · 2017: 12 · 2016: 12 · 2015: 12 · 2014: 17 · 2013: 11 · 2012: 10
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Clinical Practice and Epidemiology in Mental Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- IRIS eCampus Telematic University (Università degli Studi eCampus) (submittedVersion)
- PubliCatt (Università Cattolica del Sacro Cuore) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- online intervention, obesity, weight loss, weight loss maintenance, overweight adults, behavioral interventions, self-monitoring, personalized feedback, dietary habits, physical activity, control group design
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