The Association of Quality of Life with Psychosocial Factors in Adolescents with Tourette Syndrome.

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Title: The Association of Quality of Life with Psychosocial Factors in Adolescents with Tourette Syndrome.
Authors: Watson, Kelly H. (AUTHOR), Eckland, Michelle (AUTHOR), Schwartzman, Jessica M. (AUTHOR), Molnar, Andrew (AUTHOR), Boon, Whitney (AUTHOR), Hiller, Matthew (AUTHOR), Scholer, Seth (AUTHOR), Mace, Rachel (AUTHOR), Rothman, Alice (AUTHOR), Claassen, Daniel O. (AUTHOR), Riordan, Heather R. (AUTHOR), Isaacs, David A. (AUTHOR)
Source: Child Psychiatry & Human Development. Dec2025, Vol. 56 Issue 6, p1586-1597. 12p.
Subjects: Quality of life, Family relations, Teenagers, Self-esteem, Psychological stress, Psychosocial factors, Tourette syndrome, Internalizing behavior
Abstract: Individuals with Tourette syndrome (TS) have poorer quality of life (QoL) than their peers, yet factors contributing to poor QoL in this population remain unclear. Research to date has predominantly focused on the impact of tics and psychiatric symptoms on QoL in TS samples. The aim of this cross-sectional, multi-informant study was to identify psychosocial variables that may impact adolescent QoL in TS. Thirty-eight adolescents aged 13 to 17 with TS and 28 age-matched controls participated with a caregiver. No group differences were found on QoL, although the TS group reported reduced QoL compared to population normative data. In the TS group, reduced QoL was associated with lower self-esteem, poorer family functioning, higher stress, and greater depression and anxiety; QoL was unrelated to tic severity. In regression analyses, after adjusting for covariates, family functioning was the strongest predictor of QoL. These results emphasize the need to further explore the influence of psychosocial factors, particularly family functioning, on QoL in adolescents with TS. [ABSTRACT FROM AUTHOR]
Copyright of Child Psychiatry & Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Child+Psychiatry+%26+Human+Development%22">Child Psychiatry & Human Development</searchLink>. Dec2025, Vol. 56 Issue 6, p1586-1597. 12p.
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  Data: Individuals with Tourette syndrome (TS) have poorer quality of life (QoL) than their peers, yet factors contributing to poor QoL in this population remain unclear. Research to date has predominantly focused on the impact of tics and psychiatric symptoms on QoL in TS samples. The aim of this cross-sectional, multi-informant study was to identify psychosocial variables that may impact adolescent QoL in TS. Thirty-eight adolescents aged 13 to 17 with TS and 28 age-matched controls participated with a caregiver. No group differences were found on QoL, although the TS group reported reduced QoL compared to population normative data. In the TS group, reduced QoL was associated with lower self-esteem, poorer family functioning, higher stress, and greater depression and anxiety; QoL was unrelated to tic severity. In regression analyses, after adjusting for covariates, family functioning was the strongest predictor of QoL. These results emphasize the need to further explore the influence of psychosocial factors, particularly family functioning, on QoL in adolescents with TS. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Child Psychiatry & Human Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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