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Objectively measured physical activity in population-representative parent-child pairs: parental modelling matters and is context-specific

Overview of attention for article published in BMC Public Health, August 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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122 Mendeley
Title
Objectively measured physical activity in population-representative parent-child pairs: parental modelling matters and is context-specific
Published in
BMC Public Health, August 2018
DOI 10.1186/s12889-018-5949-9
Pubmed ID
Authors

Bettina Bringolf-Isler, Christian Schindler, Bengt Kayser, L. Suzanne Suggs, Nicole Probst-Hensch, the SOPHYA Study Group

Abstract

Evidence for the context-specific influence of parental modelling on physical activity (PA) in childhood remains inconclusive. This nationwide Swiss study assessed the cross-sectional association between objectively measured PA of parents and their children and whether it varied across different levels of sociodemographic and environmental factors. In a second step a structural equation-model (SEM) was used to assess, whether associations between children's PA and sociodemographic and environmental factors are mediated by the parental PA behaviour. The population-based sample of the SOPHYA-study consisted of 889 children aged 6 to 16 years living in Switzerland and 1059 parents. PA was measured using accelerometers. Information on sociodemographics, sports behaviour, family characteristics, and perceived environment was obtained by telephone interview and parental questionnaire. Objective environmental data was allocated to each family's residential address using GIS (geographic information system). A structural equation model tested these factors for both independent associations with children's PA and associations mediated through the parental PA behaviour. Parental moderate to vigorous physical activity (MVPA) was associated with MVPA of their children in general (p < 0.001). Correlations between parents' and children's MVPA were stronger for children aged 10-12 years and for those living in the Italian speaking part of Switzerland. An increase of 1 min of mother's and of father's MVPA was associated with 0.24 and 0.21 min more MVPA in children, respectively. Father's PA was associated with that of their sons, but not with that of their daughters, whereas the association of mothers' and children's PA did not depend on the parent-offspring sex-match. The pathway analysis in our structural equation model showed direct effects on children's MVPA as well as indirect effects mediated by the parental PA behaviour. Parental modelling seems relevant for children's PA, but not to the same degree in all children. Interventions focusing on strengthening parental PA behaviour for the promotion of PA in the young must consider additional contextual factors related to the socio-cultural and structural environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Student > Master 14 11%
Student > Ph. D. Student 13 11%
Student > Bachelor 12 10%
Student > Doctoral Student 9 7%
Other 19 16%
Unknown 35 29%
Readers by discipline Count As %
Sports and Recreations 16 13%
Nursing and Health Professions 15 12%
Social Sciences 12 10%
Psychology 11 9%
Medicine and Dentistry 8 7%
Other 15 12%
Unknown 45 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 August 2018.
All research outputs
#5,832,182
of 23,100,534 outputs
Outputs from BMC Public Health
#5,830
of 15,064 outputs
Outputs of similar age
#100,463
of 333,251 outputs
Outputs of similar age from BMC Public Health
#148
of 283 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 15,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 59% of its peers.
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 333,251 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 68% of its contemporaries.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.