Mood state sub-types in adults who stutter: A prospective study

Tran, Y; Blumgart, E; Craig, A

Mood state sub-types in adults who stutter: A prospective study

Tran, Y

Blumgart, E Craig, A

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Publication Type:: Journal Article
Citation:: Journal of Fluency Disorders, 2018, 56 pp. 100 - 111
Issue Date:: 2018-06-01

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Field	Value	Language
dc.contributor.author	Tran, Y https://orcid.org/0000-0002-1741-4205	en_US
dc.contributor.author	Blumgart, E	en_US
dc.contributor.author	Craig, A	en_US
dc.date.available	2017-10-19	en_US
dc.date.issued	2018-06-01	en_US
dc.identifier.citation	Journal of Fluency Disorders, 2018, 56 pp. 100 - 111	en_US
dc.identifier.issn	0094-730X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/134303
dc.description.abstract	© 2017 Elsevier Inc. Purpose: Many adults who stutter have elevated negative mood states like anxiety and depressive mood. Little is known about how mood states change over time. The purpose of this study was to determine the trajectories or sub-types of mood states in adults who stutter over a 6 month period, and establish factors that contribute to these sub-types. Method: Participants included 129 adults who stutter who completed an assessment regimen at baseline, including a measure of mood states (Symptom Checklist-90-Revised). Three mood states were assessed (interpersonal sensitivity or IS, depressive mood and anxiety) once a month over 6 months. Latent class growth mixture modeling was used to establish trajectories of change in these mood states over time. Logistic regression was then used to determine factors assessed at baseline that contribute to the IS trajectories. Results: Three-class trajectory models were accepted as the best fit for IS, depressive mood and anxiety mood sub-types. Stable and normal mood state sub-types were found, incorporating around 60% of participants. Up to 40% belonged to sub-types comprising elevated levels of negative mood states. The logistic regression was conducted only with the IS domain, and revealed four factors that significantly contributed to IS mood sub-types. Those with low perceived control, low vitality, elevated social fears and being female were more likely to belong to elevated IS classes. Conclusions: This research revealed mood sub-types in adults who stutter, providing direction for the treatment of stuttering. Clarification of how much stuttering influences mood sub-types versus pre-existing mood is required.	en_US
dc.relation.ispartof	Journal of Fluency Disorders	en_US
dc.relation.isbasedon	10.1016/j.jfludis.2017.10.001	en_US
dc.subject.classification	Speech-Language Pathology & Audiology	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Stuttering	en_US
dc.subject.mesh	Prospective Studies	en_US
dc.subject.mesh	Affect	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.title	Mood state sub-types in adults who stutter: A prospective study	en_US
dc.type	Journal Article
utslib.citation.volume	56	en_US
utslib.for	1701 Psychology	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	11 Medical and Health Sciences	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
utslib.for	20 Language, Communication and Culture	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	56	en_US

Abstract:

© 2017 Elsevier Inc. Purpose: Many adults who stutter have elevated negative mood states like anxiety and depressive mood. Little is known about how mood states change over time. The purpose of this study was to determine the trajectories or sub-types of mood states in adults who stutter over a 6 month period, and establish factors that contribute to these sub-types. Method: Participants included 129 adults who stutter who completed an assessment regimen at baseline, including a measure of mood states (Symptom Checklist-90-Revised). Three mood states were assessed (interpersonal sensitivity or IS, depressive mood and anxiety) once a month over 6 months. Latent class growth mixture modeling was used to establish trajectories of change in these mood states over time. Logistic regression was then used to determine factors assessed at baseline that contribute to the IS trajectories. Results: Three-class trajectory models were accepted as the best fit for IS, depressive mood and anxiety mood sub-types. Stable and normal mood state sub-types were found, incorporating around 60% of participants. Up to 40% belonged to sub-types comprising elevated levels of negative mood states. The logistic regression was conducted only with the IS domain, and revealed four factors that significantly contributed to IS mood sub-types. Those with low perceived control, low vitality, elevated social fears and being female were more likely to belong to elevated IS classes. Conclusions: This research revealed mood sub-types in adults who stutter, providing direction for the treatment of stuttering. Clarification of how much stuttering influences mood sub-types versus pre-existing mood is required.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/134303