Christine Delisle Nyström1, Sven Sandin2,3,4, Pontus Henriksson5, Hanna Henriksson5, Ylva Trolle-Lagerros6,7, Christel Larsson8, Ralph Maddison9, Francisco B Ortega5, Jeremy Pomeroy10, Jonatan R Ruiz5, Kristin Silfvernagel11, Toomas Timpka12, Marie Löf13. 1. Departments of Biosciences and Nutrition, christine.delisle.nystrom@ki.se. 2. Medical Epidemiology and Biostatistics, and. 3. Department of Psychiatry, and. 4. Seaver Autism Center for Research and Treatment, Icahn School of Medicine, Mount Sinai, New York, NY. 5. Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain. 6. Clinical Epidemiology Unit, Department of Medicine, Karolinska Institute, Stockholm, Sweden. 7. Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital, Stockholm, Sweden. 8. Department of Food and Nutrition and Sport Science, University of Gothenburg, Gothenburg, Sweden. 9. Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Victoria, Australia. 10. Marshfield Clinic Research Foundation, Marshfield, WI; and Departments of. 11. Behavioral Sciences and Learning, and. 12. Medical and Health Sciences, Faculty of the Health Sciences, Linköping University, Linköping, Sweden. 13. Departments of Biosciences and Nutrition.
Abstract
Background: Traditional obesity prevention programs are time- and cost-intensive. Mobile phone technology has been successful in changing behaviors and managing weight; however, to our knowledge, its potential in young children has yet to be examined.Objective: We assessed the effectiveness of a mobile health (mHealth) obesity prevention program on body fat, dietary habits, and physical activity in healthy Swedish children aged 4.5 y.Design: From 2014 to 2015, 315 children were randomly assigned to an intervention or control group. Parents in the intervention group received a 6-mo mHealth program. The primary outcome was fat mass index (FMI), whereas the secondary outcomes were intakes of fruits, vegetables, candy, and sweetened beverages and time spent sedentary and in moderate-to-vigorous physical activity. Composite scores for the primary and secondary outcomes were computed. Results: No statistically significant intervention effect was observed for FMI between the intervention and control group (mean ± SD: -0.23 ± 0.56 compared with -0.20 ± 0.49 kg/m2). However, the intervention group increased their mean composite score from baseline to follow-up, whereas the control group did not (+0.36 ± 1.47 compared with -0.06 ± 1.33 units; P = 0.021). This improvement was more pronounced among the children with an FMI above the median (4.11 kg/m2) (P = 0.019). The odds of increasing the composite score for the 6 dietary and physical activity behaviors were 99% higher for the intervention group than the control group (P = 0.008).Conclusions: This mHealth obesity prevention study in preschool-aged children found no difference between the intervention and control group for FMI. However, the intervention group showed a considerably higher postintervention composite score (a secondary outcome) than the control group, especially in children with a higher FMI. Further studies targeting specific obesity classes within preschool-aged children are warranted. This trial was registered at clinicaltrials.gov as NCT02021786.
RCT Entities:
Background: Traditional obesity prevention programs are time- and cost-intensive. Mobile phone technology has been successful in changing behaviors and managing weight; however, to our knowledge, its potential in young children has yet to be examined.Objective: We assessed the effectiveness of a mobile health (mHealth) obesity prevention program on body fat, dietary habits, and physical activity in healthy Swedish children aged 4.5 y.Design: From 2014 to 2015, 315 children were randomly assigned to an intervention or control group. Parents in the intervention group received a 6-mo mHealth program. The primary outcome was fat mass index (FMI), whereas the secondary outcomes were intakes of fruits, vegetables, candy, and sweetened beverages and time spent sedentary and in moderate-to-vigorous physical activity. Composite scores for the primary and secondary outcomes were computed. Results: No statistically significant intervention effect was observed for FMI between the intervention and control group (mean ± SD: -0.23 ± 0.56 compared with -0.20 ± 0.49 kg/m2). However, the intervention group increased their mean composite score from baseline to follow-up, whereas the control group did not (+0.36 ± 1.47 compared with -0.06 ± 1.33 units; P = 0.021). This improvement was more pronounced among the children with an FMI above the median (4.11 kg/m2) (P = 0.019). The odds of increasing the composite score for the 6 dietary and physical activity behaviors were 99% higher for the intervention group than the control group (P = 0.008).Conclusions: This mHealth obesity prevention study in preschool-aged children found no difference between the intervention and control group for FMI. However, the intervention group showed a considerably higher postintervention composite score (a secondary outcome) than the control group, especially in children with a higher FMI. Further studies targeting specific obesity classes within preschool-aged children are warranted. This trial was registered at clinicaltrials.gov as NCT02021786.
Authors: Morgan L McCloskey; Susan L Johnson; Traci A Bekelman; Corby K Martin; Laura L Bellows Journal: J Nutr Educ Behav Date: 2019-02-28 Impact factor: 3.045
Authors: C Delisle Nyström; J Pomeroy; P Henriksson; E Forsum; F B Ortega; R Maddison; J H Migueles; M Löf Journal: Eur J Clin Nutr Date: 2017-07-26 Impact factor: 4.016
Authors: Rebecca K Hodder; Kate M O'Brien; Fiona G Stacey; Flora Tzelepis; Rebecca J Wyse; Kate M Bartlem; Rachel Sutherland; Erica L James; Courtney Barnes; Luke Wolfenden Journal: Cochrane Database Syst Rev Date: 2019-11-07
Authors: Sara M St George; Yaray Agosto; Lourdes M Rojas; Mary Soares; Monica Bahamon; Guillermo Prado; Justin D Smith Journal: Obes Rev Date: 2019-12-06 Impact factor: 10.867
Authors: Tamara Brown; Theresa Hm Moore; Lee Hooper; Yang Gao; Amir Zayegh; Sharea Ijaz; Martha Elwenspoek; Sophie C Foxen; Lucia Magee; Claire O'Malley; Elizabeth Waters; Carolyn D Summerbell Journal: Cochrane Database Syst Rev Date: 2019-07-23