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Context matters! sources of variability in weekend physical activity among families: a repeated measures study

Overview of attention for article published in BMC Public Health, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Context matters! sources of variability in weekend physical activity among families: a repeated measures study
Published in
BMC Public Health, April 2017
DOI 10.1186/s12889-017-4232-9
Pubmed ID
Authors

Robert J. Noonan, Stuart J. Fairclough, Zoe R. Knowles, Lynne M. Boddy

Abstract

Family involvement is an essential component of effective physical activity (PA) interventions in children. However, little is known about the PA levels and characteristics of PA among families. This study used a repeated measures design and multiple data sources to explore the variability and characteristics of weekend PA among families. Families (including a 'target' child aged 9-11 years, their primary caregiver(s) and siblings aged 6-8 years) were recruited through primary schools in Liverpool, UK. Participants completed a paper-based PA diary and wore an ActiGraph GT9X accelerometer on their left wrist for up to 16 weekend days. ActiGraph.csv files were analysed using the R-package GGIR version 1.1-4. Mean minutes of moderate-to-vigorous PA (MVPA) for each weekend of measurement were calculated using linear mixed models, and variance components were estimated for participant (inter-individual), weekend of measurement, and residual error (intra-individual). Intraclass correlation coefficients (ICC) were calculated from the proportion of total variance accounted for by inter-individual sources, and used as a measure of reliability. Diary responses were summed to produce frequency counts. To offer contextual insight into weekend PA among family units, demographic, accelerometer, and diary data were combined to form two case studies representative of low and high active families. Twenty-five participants from 7 families participated, including 7 'target' children (mean age 9.3 ± 1.1 years, 4 boys), 6 siblings (mean age 7.2 ± 0.7 years; 4 boys) and 12 adults (7 mothers and 5 fathers). There was a high degree of variability in target children's (ICC = 0.55), siblings (ICC = 0.38), and mothers' MVPA (ICC = 0.58), but not in fathers' MVPA (ICC = 0.83). Children's weekend PA was mostly unstructured in nature and undertaken with friends, whereas a greater proportion of parents' weekend PA was undertaken alone in structured settings. The family case studies demonstrated that in the selected cases MVPA levels and variability across weekends were contingent on mode of PA participation. These novel findings enhance understanding of the variability and characteristics of weekend PA among family units. The study demonstrates the utility of PA diaries in conjunction with accelerometers to provide understanding of the mode and contexts of out-of-school and family-based PA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Researcher 15 16%
Student > Ph. D. Student 12 13%
Student > Doctoral Student 7 8%
Student > Bachelor 3 3%
Other 15 16%
Unknown 23 25%
Readers by discipline Count As %
Sports and Recreations 17 18%
Nursing and Health Professions 12 13%
Social Sciences 8 9%
Medicine and Dentistry 7 8%
Psychology 7 8%
Other 13 14%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 February 2018.
All research outputs
#2,787,367
of 23,567,572 outputs
Outputs from BMC Public Health
#3,161
of 15,295 outputs
Outputs of similar age
#51,917
of 311,417 outputs
Outputs of similar age from BMC Public Health
#64
of 221 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 79% 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 311,417 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.