Literature DB >> 25641770

Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review.

T Turner1, D Spruijt-Metz2, C K F Wen3, M D Hingle1.   

Abstract

Mobile health (mHealth) is a relatively nascent field, with a variety of technologies being explored and developed. Because of the explosive growth in this field, it is of interest to examine the design, development and efficacy of various interventions as research becomes available. This systematic review examines current use of mHealth technologies in the prevention or treatment of pediatric obesity to catalogue the types of technologies utilized and the impact of mHealth to improve obesity-related outcomes in youth. Of the 4021 articles that were identified, 41 articles met inclusion criteria. Seventeen intervention studies incorporated mHealth as the primary or supplementary treatment. The remaining articles were in the beginning stages of research development and most often described moderate-to-high usability, feasibility and acceptability. Although few effects were observed on outcomes such as body mass index, increases in physical activity, self-reported breakfast and fruit and vegetable consumption, adherence to treatment, and self-monitoring were observed. Findings from this review suggest that mHealth approaches are feasible and acceptable tools in the prevention and treatment of pediatric obesity. The large heterogeneity in research designs highlights the need for more agile scientific processes that can keep up with the speed of technology development.
© 2015 World Obesity.

Entities:  

Keywords:  MHealth; mobile health; obesity; pediatric obesity

Mesh:

Year:  2015        PMID: 25641770      PMCID: PMC4499498          DOI: 10.1111/ijpo.12002

Source DB:  PubMed          Journal:  Pediatr Obes        ISSN: 2047-6302            Impact factor:   4.000


  32 in total

1.  Two-year outcomes of an adjunctive telephone coaching and electronic contact intervention for adolescent weight-loss maintenance: the Loozit randomized controlled trial.

Authors:  B Nguyen; V A Shrewsbury; J O'Connor; K S Steinbeck; A J Hill; S Shah; M R Kohn; S Torvaldsen; L A Baur
Journal:  Int J Obes (Lond)       Date:  2012-05-15       Impact factor: 5.095

2.  The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation.

Authors:  Fengqing Zhu; Marc Bosch; Insoo Woo; Sungye Kim; Carol J Boushey; David S Ebert; Edward J Delp
Journal:  IEEE J Sel Top Signal Process       Date:  2010-08       Impact factor: 6.856

3.  Short message service reduces dropout in childhood obesity treatment: a randomized controlled trial.

Authors:  Judith de Niet; Reinier Timman; Stephanie Bauer; Erica van den Akker; Cora de Klerk; Hans Kordy; Jan Passchier
Journal:  Health Psychol       Date:  2012-04-02       Impact factor: 4.267

4.  Physical activity and adolescents: an exploratory randomized controlled trial investigating the influence of affective and instrumental text messages.

Authors:  Reema Sirriyeh; Rebecca Lawton; Jane Ward
Journal:  Br J Health Psychol       Date:  2010-02-12

5.  Tailored mobile phone text messages as an adjunct to obesity treatment for adolescents.

Authors:  Susan J Woolford; Sarah J Clark; Victor J Strecher; Kenneth Resnicow
Journal:  J Telemed Telecare       Date:  2010-10-19       Impact factor: 6.184

6.  The effect of a short message service maintenance treatment on body mass index and psychological well-being in overweight and obese children: a randomized controlled trial.

Authors:  J de Niet; R Timman; S Bauer; E van den Akker; H Buijks; C de Klerk; H Kordy; J Passchier
Journal:  Pediatr Obes       Date:  2012-04-10       Impact factor: 4.000

7.  Mobile health technology evaluation: the mHealth evidence workshop.

Authors:  Santosh Kumar; Wendy J Nilsen; Amy Abernethy; Audie Atienza; Kevin Patrick; Misha Pavel; William T Riley; Albert Shar; Bonnie Spring; Donna Spruijt-Metz; Donald Hedeker; Vasant Honavar; Richard Kravitz; R Craig Lefebvre; David C Mohr; Susan A Murphy; Charlene Quinn; Vladimir Shusterman; Dallas Swendeman
Journal:  Am J Prev Med       Date:  2013-08       Impact factor: 5.043

8.  Outcomes of a 12-month technology-based intervention to promote weight loss in adolescents at risk for type 2 diabetes.

Authors:  Kevin Patrick; Gregory J Norman; Evelyn P Davila; Karen J Calfas; Fred Raab; Michael Gottschalk; James F Sallis; Suni Godbole; Jennifer R Covin
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

9.  Leveraging text messaging and mobile technology to support pediatric obesity-related behavior change: a qualitative study using parent focus groups and interviews.

Authors:  Mona Sharifi; Eileen M Dryden; Christine M Horan; Sarah Price; Richard Marshall; Karen Hacker; Jonathan A Finkelstein; Elsie M Taveras
Journal:  J Med Internet Res       Date:  2013-12-06       Impact factor: 5.428

10.  A randomised controlled trial of a community-based healthy lifestyle program for overweight and obese adolescents: the Loozit study protocol.

Authors:  Vanessa A Shrewsbury; Janice O'Connor; Katharine S Steinbeck; Kate Stevenson; Anthea Lee; Andrew J Hill; Michael R Kohn; Smita Shah; Siranda Torvaldsen; Louise A Baur
Journal:  BMC Public Health       Date:  2009-04-29       Impact factor: 3.295

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  58 in total

1.  The Usability of a Heartbeat Measuring Mobile Phone app: an Observational Study.

Authors:  Marta Elena Losa-Iglesias; Klark Becerro-de-Bengoa Losa; Daniel López-López; Raquel Jimenez-Fernandez; Inmaculada Corral-Liria; Rocio Rodriguez Vazquez; Carmen Ecija Gallardo; Ricardo Becerro-de-Bengoa Vallejo
Journal:  J Med Syst       Date:  2019-06-12       Impact factor: 4.460

Review 2.  Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review.

Authors:  Emma Tonkin; Julie Brimblecombe; Thomas Philip Wycherley
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

3.  Mobile Health Interventions for Improving Health Outcomes in Youth: A Meta-analysis.

Authors:  David A Fedele; Christopher C Cushing; Alyssa Fritz; Christina M Amaro; Adrian Ortega
Journal:  JAMA Pediatr       Date:  2017-05-01       Impact factor: 16.193

4.  Treatment of Obesity Among Youth With Intellectual and Developmental Disabilities: An Emerging Role for Telenursing.

Authors:  Elizabeth Anne Bennett; Rachel Pearl Kolko; Lichun Chia; Jennifer Padden Elliott; Melissa Ann Kalarchian
Journal:  West J Nurs Res       Date:  2017-03-28       Impact factor: 1.967

5.  Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Authors:  Donna Spruijt-Metz; Cheng K Fred Wen; Brooke M Bell; Stephen Intille; Jeannie S Huang; Tom Baranowski
Journal:  Am J Prev Med       Date:  2018-08-19       Impact factor: 5.043

Review 6.  Remotely Delivered Interventions for Obesity Treatment.

Authors:  Lauren E Bradley; Christine E Smith-Mason; Joyce A Corsica; Mackenzie C Kelly; Megan M Hood
Journal:  Curr Obes Rep       Date:  2019-12

7.  The home environment and toddler physical activity: an ecological momentary assessment study.

Authors:  E R Hager; N A Tilton; Y Wang; N C Kapur; R Arbaiza; B C Merry; M M Black
Journal:  Pediatr Obes       Date:  2015-12-23       Impact factor: 4.000

8.  Technology Components as Adjuncts to Family-Based Pediatric Obesity Treatment in Low-Income Minority Youth.

Authors:  Gina L Tripicchio; Alice S Ammerman; Cody Neshteruk; Myles S Faith; Kelsey Dean; Christie Befort; Dianne S Ward; Kimberly P Truesdale; Kyle S Burger; Ann Davis
Journal:  Child Obes       Date:  2017-07-20       Impact factor: 2.992

Review 9.  Innovations in the Use of Interactive Technology to Support Weight Management.

Authors:  D Spruijt-Metz; C K F Wen; G O'Reilly; M Li; S Lee; B A Emken; U Mitra; M Annavaram; G Ragusa; S Narayanan
Journal:  Curr Obes Rep       Date:  2015-12

10.  The Healthy Homes/Healthy Kids 5-10 Obesity Prevention Trial: 12 and 24-month outcomes.

Authors:  Nancy E Sherwood; Rona L Levy; Elisabeth M Seburg; A Lauren Crain; Shelby L Langer; Meghan M JaKa; Alicia Kunin-Batson; Robert W Jeffery
Journal:  Pediatr Obes       Date:  2019-03-14       Impact factor: 4.000

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