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Predicting Children's Recall of a Dental Procedure: Contributions of Stress, Preparation, and Dental History

  • Lynne Baker-Ward(corresponding author)
    ,
  • Rocio Quinonez
    ,
  • Michael Milano
    ,
  • Seungjin Lee
    ,
  • Hillary Langley
    ,
  • Benjamin Brumley
*Corresponding author for this work
  • North Carolina State University
    ,
  • University of North Carolina at Chapel Hill
    ,
  • Seoul National University
    ,
  • University of Pennsylvania
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

We examined the extent to which three predictors of children's recall, selected on the basis of their theoretical significance, contributed to the prediction of children's recall for the details of dental operative procedures in a diverse sample of 28 children (54-140months of age). Parents provided information regarding their children's dental histories and preparation for the dental visit. We obtained behavioral indices of stress from video recordings of the procedures and interviewed the children shortly after treatment to assess their memory. In a significant model predicting open-ended recall, measures of prior dental experience and parent discussion emerged as unique predictors, although stress did not add to the prediction. The results attest to the importance of incorporating measures of individual differences in investigations of children's reports of their personal experiences. We discuss the importance of children's interpretations in understanding memory for stressful events.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 775-781 (7 pages)

Journal (Volume, Issue Number)

Applied Cognitive Psychology (Volume 29, Issue 5)

Publication milestones

  • Published - 09/01/2015

Publication status

Published - 09/01/2015

ISSN

0888-4080

Publication IDs

  • Scopus: 84941600501

Publication metrics

Metrics

SciVal
citations
3
SciVal
Author count
7
SciVal
Paper percentile
46
Fractional count
1
Fractional count
0.14
Fractional count
6
Fractional count
0.86
Fractional count
1
Fractional count
1
Scopus
citations

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Citation count
9
Captures
16