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Is there an association between early weight status and utility-based health-related quality of life in young children?

Overview of attention for article published in Quality of Life Research, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 blog
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4 X users
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1 Facebook page

Citations

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7 Dimensions

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62 Mendeley
Title
Is there an association between early weight status and utility-based health-related quality of life in young children?
Published in
Quality of Life Research, July 2018
DOI 10.1007/s11136-018-1932-2
Pubmed ID
Authors

Eng Joo Tan, Victoria Brown, Stavros Petrou, Mario D’Souza, Marjory L. Moodie, Li Ming Wen, Louise A. Baur, Chris Rissel, Alison J. Hayes

Abstract

Few studies focus on the health-related quality of life (HRQoL) of preschool children with overweight or obesity. This is relevant for evaluation of obesity prevention trials using a quality-adjusted life year (QALY) framework. This study examined the association between weight status in the preschool years and HRQoL at age 5 years, using a preference-based instrument. HRQoL [based on parent proxy version of the Health Utilities Index Mark 3 (HUI3)] and weight status were measured in children born in Australia between 2007 and 2009. Children's health status was scored across eight attributes of the HUI3-vision, hearing, speech, ambulation, dexterity, emotion, cognition and pain, and these were used to calculate a multi-attribute utility score. Ordinary least squares (OLS), Tobit and two-part regressions were used to model the association between weight status and multi-attribute utility. Of the 368 children for whom weight status and HUI3 data were available, around 40% had overweight/obesity. After adjusting for child's sex, maternal education, marital status and household income, no significant association between weight status in the preschool years and multi-attribute utility scores at 5 years was found. Alternative approaches for capturing the effects of weight status in the preschool years on preference-based HRQoL outcomes should be tested. The application of the QALY framework to economic evaluations of obesity-related interventions in young children should also consider longitudinal effects over the life-course. Clinical Trial Registration The Healthy Beginnings Trial was registered with the Australian Clinical Trial Registry (ACTRNO12607000168459).

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X Demographics

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 11%
Student > Ph. D. Student 6 10%
Researcher 6 10%
Student > Postgraduate 4 6%
Student > Master 4 6%
Other 10 16%
Unknown 25 40%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Nursing and Health Professions 6 10%
Economics, Econometrics and Finance 4 6%
Business, Management and Accounting 2 3%
Social Sciences 2 3%
Other 9 15%
Unknown 29 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 October 2018.
All research outputs
#3,212,465
of 23,094,276 outputs
Outputs from Quality of Life Research
#277
of 2,922 outputs
Outputs of similar age
#65,744
of 326,353 outputs
Outputs of similar age from Quality of Life Research
#9
of 79 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,922 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% 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 326,353 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 79% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.