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Visually Induced Dizziness in Children and Validation of the Pediatric Visually Induced Dizziness Questionnaire

Overview of attention for article published in Frontiers in Neurology, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Visually Induced Dizziness in Children and Validation of the Pediatric Visually Induced Dizziness Questionnaire
Published in
Frontiers in Neurology, December 2017
DOI 10.3389/fneur.2017.00656
Pubmed ID
Authors

Marousa Pavlou, Susan L. Whitney, Abdulaziz A. Alkathiry, Marian Huett, Linda M. Luxon, Ewa Raglan, Emma L. Godfrey, Doris-Eva Bamiou

Abstract

To develop and validate the Pediatric Visually Induced Dizziness Questionnaire (PVID) and quantify the presence and severity of visually induced dizziness (ViD), i.e., symptoms induced by visual motion stimuli including crowds and scrolling computer screens in children. 169 healthy (female n = 89; recruited from mainstream schools, London, UK) and 114 children with a primary migraine, concussion, or vestibular disorder diagnosis (female n = 62), aged 6-17 years, were included. Children with primary migraine were recruited from mainstream schools while children with concussion or vestibular disorder were recruited from tertiary balance centers in London, UK, and Pittsburgh, PA, USA. Children completed the PVID, which assesses the frequency of dizziness and unsteadiness experienced in specific environmental situations, and Strength and Difficulties Questionnaire (SDQ), a brief behavioral screening instrument. The PVID showed high internal consistency (11 items; α = 0.90). A significant between-group difference was noted with higher (i.e., worse) PVID scores for patients vs. healthy participants (U = 2,436.5, z = -10.719, p < 0.001); a significant difference was noted between individual patient groups [χ2(2) = 11.014, p = 0.004] but post hoc analysis showed no significant pairwise comparisons. The optimal cut-off score for discriminating between individuals with and without abnormal ViD levels was 0.45 out of 3 (sensitivity 83%, specificity 75%). Self-rated emotional (U = 2,730.0, z = -6.169) and hyperactivity (U = 3,445.0, z = -4.506) SDQ subscale as well as informant (U = 188.5, z = -3.916) and self-rated (U = 3,178.5, z = -5.083) total scores were significantly worse for patients compared to healthy participants (p < 0.001). ViD is common in children with a primary concussion, migraine, or vestibular diagnosis. The PVID is a valid measure for identifying the presence of ViD in children and should be used to identify and quantify these symptoms, which require specific management incorporating exposure to optokinetic stimuli.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 9 11%
Student > Ph. D. Student 7 9%
Student > Bachelor 6 7%
Other 5 6%
Other 17 21%
Unknown 24 30%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Nursing and Health Professions 12 15%
Psychology 5 6%
Unspecified 4 5%
Neuroscience 3 4%
Other 7 9%
Unknown 29 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 February 2020.
All research outputs
#6,697,733
of 24,880,704 outputs
Outputs from Frontiers in Neurology
#4,374
of 13,974 outputs
Outputs of similar age
#123,042
of 451,107 outputs
Outputs of similar age from Frontiers in Neurology
#40
of 193 outputs
Altmetric has tracked 24,880,704 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,974 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 68% 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 451,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.