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Oral health-related quality of life of children and teens with sickle cell disease

Overview of attention for article published in Revista Brasileira de Hematologia e Hemoterapia, April 2016
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Title
Oral health-related quality of life of children and teens with sickle cell disease
Published in
Revista Brasileira de Hematologia e Hemoterapia, April 2016
DOI 10.1016/j.bjhh.2016.01.004
Pubmed ID
Authors

Maria Luiza da Matta Felisberto Fernandes, Ichiro Kawachi, Alexandre Moreira Fernandes, Patrícia Corrêa-Faria, Saul Martins Paiva, Isabela Almeida Pordeus

Abstract

Children with sickle cell disease may have their quality of life affected by oral alterations. However, there is still little data on oral health-related quality of life in these children. The aim of this study was to investigate the influence of sickle cell disease, socioeconomic characteristics, and oral conditions on oral health-related quality of life of children and teens. One hundred and six children and teens with sickle cell disease were compared to a similar sample of 385 healthy peers. Data were collected through oral examinations, interviews to assess quality of life (Child Perceptions Questionnaire for children aged 8-10 and 11-14) and questionnaires containing questions on socioeconomic status. There were no statistically significant differences in the total scores of the Child Perceptions Questionnaires or domain scores comparing sickle cell disease patients to control subjects. When sub-scales were compared, oral symptoms and functional limitations had a greater negative impact on the quality of life of adolescents with sickle cell disease (p-value <0.001 and p-value <0.01, respectively) when compared to healthy controls. The only statistically significant determinants of negative impact on oral health-related quality of life in the overall sample was home overcrowding (more than two people/room) in the younger children's group, and dental malocclusion among teens. There was no significant difference in the negative impact on the oral health-related quality of life between the group with sickle cell disease and the control group. Of the oral alterations, there was a significant difference in the oral health-related quality of life between adolescents with sickle cell disease and controls only in relation to malocclusion. Among the socioeconomic characteristics, only overcrowding was significantly associated with a negative impact on oral health-related quality of life.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Algeria 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 15%
Student > Bachelor 12 14%
Student > Postgraduate 8 9%
Student > Ph. D. Student 7 8%
Researcher 6 7%
Other 18 21%
Unknown 23 26%
Readers by discipline Count As %
Medicine and Dentistry 33 38%
Nursing and Health Professions 8 9%
Agricultural and Biological Sciences 7 8%
Business, Management and Accounting 3 3%
Psychology 3 3%
Other 8 9%
Unknown 25 29%

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 02 November 2017.
All research outputs
#11,065,921
of 12,447,688 outputs
Outputs from Revista Brasileira de Hematologia e Hemoterapia
#156
of 222 outputs
Outputs of similar age
#260,301
of 308,291 outputs
Outputs of similar age from Revista Brasileira de Hematologia e Hemoterapia
#5
of 12 outputs
Altmetric has tracked 12,447,688 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 222 research outputs from this source. They receive a mean Attention Score of 3.6. 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 308,291 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 12 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.