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Psychosocial characteristics in cystic fibrosis

Overview of attention for article published in Journal of Paediatrics & Child Health, October 2015
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Title
Psychosocial characteristics in cystic fibrosis
Published in
Journal of Paediatrics & Child Health, October 2015
DOI 10.1111/jpc.13011
Pubmed ID
Authors

Tonia Douglas, Jennifer Green, Judy Park, Lidija Turkovic, John Massie, Linda Shields

Abstract

Early childhood psychosocial experiences determine future health and health-care use. Identifying psychosocial predictors in cystic fibrosis may inform intervention strategies that can reduce health-care utilization. The study was designed as a prospective cohort study. The study was set in the only cystic fibrosis clinic in Western Australia. The patients were children up to 6 years diagnosed with cystic fibrosis in Western Australia between 2005 and 2011. Psychosocial data collected for each year of life were compared with Australian population data and analysed as predictors of annual hospital, emergency and outpatient visits. Compared with the Australian population, cystic fibrosis families demonstrated lower socio-economic status and labour supply (P < 0.001), increased residential mobility (P < 0.001) and trends towards increased rates of parental separation (P = 0.066). Marital discord and maternal and child psychological stress significantly predicted increased hospital admissions, emergency and outpatient visits. Social gradients may exist for families of young children with cystic fibrosis in Western Australia with potential implications for child health. Family psychological and relationship stress predicted increased child cystic fibrosis-related health-care use.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 18%
Lecturer 20 18%
Student > Bachelor 17 15%
Researcher 10 9%
Student > Ph. D. Student 6 5%
Other 12 11%
Unknown 28 25%
Readers by discipline Count As %
Nursing and Health Professions 31 27%
Psychology 15 13%
Medicine and Dentistry 14 12%
Social Sciences 13 11%
Computer Science 1 <1%
Other 3 3%
Unknown 37 32%
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 31 October 2015.
All research outputs
#22,830,981
of 25,457,858 outputs
Outputs from Journal of Paediatrics & Child Health
#3,147
of 3,371 outputs
Outputs of similar age
#253,140
of 295,646 outputs
Outputs of similar age from Journal of Paediatrics & Child Health
#22
of 27 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,371 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% 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 295,646 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.