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Study Protocol of MINI SALTEN: a technology-based multi-component intervention in the school environment targeting healthy habits of first grade children and their parents

Overview of attention for article published in BMC Public Health, May 2017
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Title
Study Protocol of MINI SALTEN: a technology-based multi-component intervention in the school environment targeting healthy habits of first grade children and their parents
Published in
BMC Public Health, May 2017
DOI 10.1186/s12889-017-4327-3
Pubmed ID
Authors

Irina Kovalskys, Cecile Rausch Herscovici, Paula Indart Rougier, María José De Gregorio, Luciana Zonis, Liliana Orellana

Abstract

MINI SALTEN is a program developed to increase moderate to vigorous physical activity (PA) and improve eating habits at home and school in first grade children. It aims to assess the effects of a technology family-based and PA school-based intervention. The purpose of this manuscript is to describe the protocol design and the MINISALTEN intervention. This is cluster-randomized controlled trial designed to run from July 2015 to November 2016 in 12 public schools of the city of Buenos Aires, matched for socio-demographic characteristics. The intervention is based on two main components: (a) "active breaks" (AB): implemented during school breaks by a PA instructor; (b) "virtual" (V): web-based contents delivered to the families via a multiplatform application. Using a computer generated random sequence participants are allocated to one of four intervention conditions: (AB), (V), (AB + V), and control (C). Outcomes are measured at baseline and 12 months post intervention, and will include data collected from the child and her/his mother/father or guardian. Primary outcome measures are: PA and sedentary behaviour (measured with accelerometers). Secondary outcome measures related are: percentage of kilocalories (kcal) from added sugars, and from total and saturated fats; grams of fruits and vegetables; and number of snacks and kcal coming from their added sugars and total and saturated fats. Family socio-economic level, home environment, and school environment will also be assessed. Statistical analysis is on an intention-to-treat principle. Baseline characteristics are described using summary measures and mixed models (with school as random effect). The effect of the two interventions will be estimated using a generalized mixed linear model with link and distribution selected according to the type of outcome. Included random effects are: child (or mother/father or guardian) accounting for repeated measures; school accounting for cluster induced by school. The most parsimonious model for each outcome will be reported. The False Discovery Rate criterion will be used to correct for multiple testing in non-planned analyses. It is a pioneer assessment of the impact of a technology-based virtual intervention and a school-based PA program, designed to prevent obesity, and involving the parents at public schools of Buenos Aires. Current Controlled Trials ISRCTN58093412 . Registered March 14th, 2016 (retrospectively registered).

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 241 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 12%
Student > Ph. D. Student 26 11%
Student > Bachelor 26 11%
Researcher 24 10%
Student > Doctoral Student 14 6%
Other 33 14%
Unknown 88 37%
Readers by discipline Count As %
Nursing and Health Professions 39 16%
Medicine and Dentistry 26 11%
Sports and Recreations 19 8%
Psychology 18 7%
Social Sciences 16 7%
Other 29 12%
Unknown 94 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 June 2017.
All research outputs
#13,200,078
of 22,968,808 outputs
Outputs from BMC Public Health
#9,210
of 14,962 outputs
Outputs of similar age
#151,867
of 310,492 outputs
Outputs of similar age from BMC Public Health
#164
of 233 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,962 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 37th percentile – i.e., 37% 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 310,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.