Genotype and sleep independently predict mental health in Rett syndrome: An observational study

Cayla Kay, Helen Leonard, Jeremy Smith, Kingsley Wong, Jenny Downs

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Background Rett syndrome is a genetically caused neurodevelopmental disorder associated with severe impairments and complex comorbidities. This study examined predictors of anxiety and depression in Rett syndrome, including genotype. Methods The International Rett Syndrome Database, InterRett, was the data source for this observational study. Associations between genotype, functional abilities, comorbidities, anxiety and depression were estimated with univariate and multivariate regression models. An additional regression model for anxiety included use of an anxiety medication as a predictor variable. Results The sample included 210 individuals aged 6-51 years of whom 54 (25.7%) were on psychotropic medication for anxiety or depression. Individuals with the p.Arg294∗ variant had the highest anxiety scores, as did those with insomnia or excessive daytime sleepiness, irrespective of anxiety medication use. Individuals with the p.Arg306Cys variant had the lowest depression scores, as did those with insomnia or excessive daytime sleepiness. Conclusion Findings indicated that genotype and sleep have implications for mental health in Rett syndrome, suggesting that anticipatory guidance and proactive management of poor sleep could improve mental health. More research is needed to understand the effects of psychometric medications, which cannot be inferred from this cross-sectional study.

Original languageEnglish
Pages (from-to)951-959
Number of pages9
JournalJournal of Medical Genetics
Volume60
Issue number10
DOIs
Publication statusPublished - 1 Oct 2023

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