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Health condition and familial factors associated with health-related quality of life in adolescents with congenital heart disease: a cross sectional study

Overview of attention for article published in Health and Quality of Life Outcomes, January 2018
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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 (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Health condition and familial factors associated with health-related quality of life in adolescents with congenital heart disease: a cross sectional study
Published in
Health and Quality of Life Outcomes, January 2018
DOI 10.1186/s12955-018-0841-y
Pubmed ID
Authors

Yu-Mi Im, Tae-Jin Yun, Sunhee Lee

Abstract

The focus of clinical care after the repair of congenital heart disease has shifted from saving life of the patient to the patient's quality of life. The purpose of this study was to examine the health condition and familial factors associated with the health related quality of life of adolescents with congenital heart disease. Ninety-eight adolescents aged 13-19 years were collected from a congenital heart clinic from July 22 to August 23, 2013. Perceptions of parental rearing behaviors, health related quality of life of adolescent with congenital heart disease, and general characteristics were measured. We used multiple linear regression analysis to explore factors that are associated with the health related quality of life of adolescents with congenital heart disease. New York heart association class (Adj R2 = .186, p = .000), presence of siblings (Adj R2 = .240, p = .010), and mother's emotional warmth (Adj R2 = .265, p = .043) were significantly associated with the health related quality of life of adolescents with congenital heart disease. Emotionally warm parental rearing behaviors and the presence of siblings were important familial factors that were positively associated with HRQOL in adolescents with CHD. Therefore, it is important for healthcare providers to develop a greater sensitivity to, and awareness of, the familial influences that may be impacting a subject's HRQOL, as well as the exigencies of the CHD, itself.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Ph. D. Student 9 16%
Student > Bachelor 8 14%
Researcher 3 5%
Lecturer 2 4%
Other 4 7%
Unknown 22 39%
Readers by discipline Count As %
Nursing and Health Professions 15 26%
Psychology 7 12%
Medicine and Dentistry 4 7%
Agricultural and Biological Sciences 2 4%
Economics, Econometrics and Finance 1 2%
Other 5 9%
Unknown 23 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 January 2018.
All research outputs
#3,964,125
of 23,015,156 outputs
Outputs from Health and Quality of Life Outcomes
#397
of 2,186 outputs
Outputs of similar age
#87,075
of 443,280 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#17
of 62 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 443,280 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 80% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.