Babbling Complexity and Speech Outcomes in Children with Cochlear Implants
Elizabeth Walker, MA Sandie Bass-Ringdahl, PhD The University of Iowa, Iowa City, IA
Babbling and early speech in infants with normal hearing
Research indicates continuity between prelinguistic vocalizations and early speech development Stoel-Gammon (1989)
Children who are “poor babblers” (i.e., produce limited babbling with few consonants) may produce first words later and acquire lexical items more slowly than children with more complex babble
Babbling and early speech in infants who are deaf or hard of hearing (D/HH)
Few studies on relationship between babbling and early speech and language in this population Wallace, Menn, & Yoshinaga-Itano (1998)
Examined relationship between babbling quality and hearing loss Measured phonetic complexity in babbling for infants between 5 and 13 months Found no significant relationship between babbling and demographic variables (PTA) or outcome variables (articulation measures)
Rationale and Research Questions
Clinicians need more informal measures for tracking speech and language progress in children receiving CIs under the age of 2.
Can measures of phonetic complexity in babbling be used to track progress for infants with CIs?
Finding a predictive relationship between babbling complexity and speech/language outcomes provides us with a means for assessing progress in very young children with CIs.
Does babbling complexity predict speech and language outcomes in this population?
Method
Participants
19 infants with prelingual SNHL Mean age at first visit, 13.74 months (4-27 months) Mean age at initial stim, 18.39 months (11-27 months)
Data collection
Vocal recordings collected at pre- and post-CI visits Infant interacted with experimenter and caregiver Sessions followed similar protocol across participants
Method: Mean Babbling Level (MBL)
Measured phonetic complexity of babbling using Mean Babbling Level (MBL) analysis (Stoel-Gammon, 1989) Transcribed maximum of 50 vocalizations per visit Vocalizations isolated based on 2-second breath groups
Vocalizations with greater than 2 second pause separating them were considered to be two different vocalizations
Method: Mean Babbling Level (MBL)
Vocalizations assigned to levels based on phonetic content and syllable structure
Level I: vowel, syllabic consonant or consonant-vowel combination; consonant is glide or glottal Level II: CV combination in which the consonant is a true consonant; place/manner do not change Level III: at least two true consonants that differ by place and/or manner MBL = (Sum of # of Level I) x 1 + (Sum of # of Level II) x 2 + (Sum of # of Level III) x 3/Total # utterances
Scores range from 1.0 to 3.0 MBL increases with chronological age and is negatively correlated with age at onset of meaningful speech
Method: Outcome measures
Language measures collected at approximately 48 months chronological age (mean CA: 49 months; range 39-56 months)
Mean length of CI use: 29 months (18-36 months) Minnesota Communication Development Inventory (MCDI) expressive and receptive language quotient (LQ) scores Goldman-Fristoe Test of Articulation-II standard scores (GFTA-II SS) Peabody Picture Vocabulary Test-III standard scores (PPVT-III SS)
Method: Data analyses
MBL scores for participants with multiple data points within time periods averaged at 5 intervals Pre-implant and initial stimulation 2 week, 1 and 2 months post-CI 3, 4, 5 months post-CI 6, 7, 8, 9 months post-CI 10, 11, 12, 13 months post-CI Pearson Product-Moment correlations calculated for average MBL at 5 time intervals and MCDI Expressive and Receptive LQ, GFTA-II SS, PPVT-III SS Stepwise multiple regression analyses run for average MBL at 6-9 and 10-13 month time intervals and four outcome measures
Results: Correlational analyses
Significant correlations between MBL at 6-9 months post-CI and PPVT SS, GFTA SS, and MCDI receptive and expressive LQs
MBL & PPVT: r=.70 (n=17, p<.01) MBL & GFTA: r=.52 (n=18, p<.05) MBL & MCDI Receptive: r=.75 (n=18, p<.01) MBL & MCDI Expressive: r=.75 (n=18, p<.01)
Results: Correlational analyses
Correlation between PPVT and MBL at 6-9 mos
120
r=.70, p<.01
100
PPVT SS
80
60
40
20 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2
MBL at 6-9 mos post CI
Results: Correlational analyses
Significant correlations between MBL at 1013 months post-CI and PPVT SS and MCDI receptive and expressive LQs
MBL & PPVT: r=.59 (n=16, p<.05) MBL & GFTA: r=.43 (n=18, n.s.) MBL & MCDI Receptive: r= .63 (n=17, p<.01) MBL & MCDI Expressive: r=.52 (n=17, p<.05)
Results: Correlational analyses
Correlation between PPVT and MBL at 10-13 mos
120
100
r=.59, p<.05
PPVT SS
80
60
40
20 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4
MBL at 10-13 mos post-CI
Results: Regression analyses
MBL and MCDI Expressive LQ
67% of the variance accounted for by MBL at 6-9 months post-CI (n=15; p=.0002)
66% of the variance accounted for by MBL at 6-9 months post-CI (n=15; p=.0003) 31% of the variance accounted for by MBL at 6-9 months post-CI (n=15, p=.03)
MBL and MCDI Receptive LQ
MBL and GFTA-II SS
MBL and PPVT-III SS
59% of the variance accounted for by MBL at 6-9 months post-CI (n=15; p=.0009)
Discussion
Is mean babbling level an effective measure for tracking progress in very young children with CIs?
MBL is simple to perform and provides clinicians with a gradient measure by which to monitor vocal development in children with CIs.
Is there a significant relationship between babbling complexity and speech and language measures in children with cochlear implants?
Phonetic complexity in babbling predicts later speech and language outcomes in children with CIs, after they have had at least 6 months of listening experience.
Take-home message
Clinical implications
Prelinguistic vocalizations may be an important prognostic indicator for later speech and language development Low MBL scores after 6 months of CI use may indicate a need to increase clinical services or change CI MAP Babbling is continuous with speech and language in children with hearing loss Once children are exposed to auditory input, they will show a progression in vocal development that is similar to younger, normal-hearing peers
Theoretical implications
Acknowledgements
Funding support
NIH/NIDCD Grant P50 DC00242; Grant RR00059 from the
General Clinical Research Centers Program, NCRR, National Institutes of Health; the Lions Clubs International Foundation; and the Iowa Lions Foundation
University of Iowa Pediatric Cochlear Implant team
J. Bruce Tomblin, Brittan Barker, Linda Spencer, Maura Kenworthy, and Tanya Van Voorst
Michele Arata, Erin Becker, Kate Larsen, Greta Martin, and Katie Woodard
University of Iowa Pediatric Audiology lab
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