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A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial

Overview of attention for article published in BMC Public Health, February 2015
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Title
A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial
Published in
BMC Public Health, February 2015
DOI 10.1186/s12889-015-1444-8
Pubmed ID
Authors

Christine Delisle, Sven Sandin, Elisabet Forsum, Hanna Henriksson, Ylva Trolle-Lagerros, Christel Larsson, Ralph Maddison, Francisco B Ortega, Jonatan R Ruiz, Kristin Silfvernagel, Toomas Timpka, Marie Löf

Abstract

Childhood obesity is an increasing health problem globally. Overweight and obesity may be established as early as 2-5 years of age, highlighting the need for evidence-based effective prevention and treatment programs early in life. In adults, mobile phone based interventions for weight management (mHealth) have demonstrated positive effects on body mass, however, their use in child populations has yet to be examined. The aim of this paper is to report the study design and methodology of the MINSTOP (Mobile-based Intervention Intended to Stop Obesity in Preschoolers) trial. A two-arm, parallel design randomized controlled trial in 300 healthy Swedish 4-year-olds is conducted. After baseline measures, parents are allocated to either an intervention- or control group. The 6- month mHealth intervention consists of a web-based application (the MINSTOP app) to help parents promote healthy eating and physical activity in children. MINISTOP is based on the Social Cognitive Theory and involves the delivery of a comprehensive, personalized program of information and text messages based on existing guidelines for a healthy diet and active lifestyle in pre-school children. Parents also register physical activity and intakes of candy, soft drinks, vegetables as well as fruits of their child and receive feedback through the application. Primary outcomes include body fatness and energy intake, while secondary outcomes are time spent in sedentary, moderate, and vigorous physical activity, physical fitness and intakes of fruits and vegetables, snacks, soft drinks and candy. Food and energy intake (Tool for Energy balance in Children, TECH), body fatness (pediatric option for BodPod), physical activity (Actigraph wGT3x-BT) and physical fitness (the PREFIT battery of five fitness tests) are measured at baseline, after the intervention (six months after baseline) and at follow-up (12 months after baseline). This novel study will evaluate the effectiveness of a mHealth program for mitigating gain in body fatness among 4-year-old children. If the intervention proves effective it has great potential to be implemented in child-health care to counteract childhood overweight and obesity. ClinicalTrials.gov NCT02021786 ; 20 Dec 2013.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 550 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Spain 2 <1%
Portugal 1 <1%
Australia 1 <1%
Germany 1 <1%
Austria 1 <1%
United States 1 <1%
Unknown 541 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 108 20%
Student > Bachelor 77 14%
Student > Ph. D. Student 69 13%
Researcher 51 9%
Student > Doctoral Student 28 5%
Other 92 17%
Unknown 125 23%
Readers by discipline Count As %
Medicine and Dentistry 98 18%
Nursing and Health Professions 78 14%
Psychology 53 10%
Sports and Recreations 53 10%
Social Sciences 35 6%
Other 80 15%
Unknown 153 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2015.
All research outputs
#17,745,035
of 22,787,797 outputs
Outputs from BMC Public Health
#12,439
of 14,854 outputs
Outputs of similar age
#242,439
of 352,561 outputs
Outputs of similar age from BMC Public Health
#176
of 220 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,561 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 220 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.