BACKGROUND: Sleep disturbances are a prominent feature of bipolar disorder (BP). However, it remains unclear how sleep phenotypes may evolve among at-risk youth, and their relevance to BP onset. METHODS: Pittsburgh Bipolar Offspring Study (BIOS) offspring (ages 10-18) and their parents completed assessments approximately every two years pertaining to current psychopathology and offspring sleep habits. A latent transition analysis (LTA) identified latent sleep groups within offspring based on their ratings of six sleep domains using the School Sleep Habits Survey. Demographic and clinical characteristics were compared between sleep groups. Logistic regression tested links between sleep group and BP onset at the subsequent assessment. RESULTS: The LTA model identified latent groups of good, poor, and variable sleepers. We observed an overall trend of good sleep becoming variable, and then poor, as youth age. Offspring in the poor sleep group were more likely to have psychopathology. Adjusting for age and depression, poor sleepers had nearly twice the odds of developing BP relative to good (OR=1.99, CI=0.45-8.91) or variable (OR=2.03, CI=0.72-5.72) sleepers. LIMITATIONS: Limitations include the use of proximal sleep phenotypes to predict BP onset, and a self-report measure of sleep CONCLUSIONS: We found three non-overlapping sleep phenotype groups in a large sample of offspring of bipolar probands and offspring of demographically-matched community control parents. Clinicians should consider that youth will likely experience variable and/or poor sleep as they age, and that at-risk youth with poor sleep may be at increased risk of developing MDD and BP at their next assessment.
BACKGROUND:Sleep disturbances are a prominent feature of bipolar disorder (BP). However, it remains unclear how sleep phenotypes may evolve among at-risk youth, and their relevance to BP onset. METHODS: Pittsburgh Bipolar Offspring Study (BIOS) offspring (ages 10-18) and their parents completed assessments approximately every two years pertaining to current psychopathology and offspring sleep habits. A latent transition analysis (LTA) identified latent sleep groups within offspring based on their ratings of six sleep domains using the School Sleep Habits Survey. Demographic and clinical characteristics were compared between sleep groups. Logistic regression tested links between sleep group and BP onset at the subsequent assessment. RESULTS: The LTA model identified latent groups of good, poor, and variable sleepers. We observed an overall trend of good sleep becoming variable, and then poor, as youth age. Offspring in the poor sleep group were more likely to have psychopathology. Adjusting for age and depression, poor sleepers had nearly twice the odds of developing BP relative to good (OR=1.99, CI=0.45-8.91) or variable (OR=2.03, CI=0.72-5.72) sleepers. LIMITATIONS: Limitations include the use of proximal sleep phenotypes to predict BP onset, and a self-report measure of sleep CONCLUSIONS: We found three non-overlapping sleep phenotype groups in a large sample of offspring of bipolar probands and offspring of demographically-matched community control parents. Clinicians should consider that youth will likely experience variable and/or poor sleep as they age, and that at-risk youth with poor sleep may be at increased risk of developing MDD and BP at their next assessment.
Authors: Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Kathleen R Merikangas; Ellen E Walters Journal: Arch Gen Psychiatry Date: 2005-06
Authors: David Axelson; Benjamin Goldstein; Tina Goldstein; Kelly Monk; Haifeng Yu; Mary Beth Hickey; Dara Sakolsky; Rasim Diler; Danella Hafeman; John Merranko; Satish Iyengar; David Brent; David Kupfer; Boris Birmaher Journal: Am J Psychiatry Date: 2015-03-03 Impact factor: 18.112
Authors: Kirsi Suominen; Outi Mantere; Hanna Valtonen; Petri Arvilommi; Sami Leppämäki; Tiina Paunio; Erkki Isometsä Journal: Bipolar Disord Date: 2007-11 Impact factor: 6.744
Authors: Jessica C Levenson; Brian C Thoma; Jessica L Hamilton; Sophia Choukas-Bradley; Rachel H Salk Journal: Sleep Date: 2021-03-12 Impact factor: 5.849
Authors: Jan Scott; Bruno Etain; David Miklowitz; Jacob J Crouse; Joanne Carpenter; Steven Marwaha; Daniel Smith; Kathleen Merikangas; Ian Hickie Journal: Neurosci Biobehav Rev Date: 2022-02-17 Impact factor: 8.989
Authors: Adriane M Soehner; Michele A Bertocci; Jessica C Levenson; Tina R Goldstein; Brian Rooks; John Merranko; Danella Hafeman; Rasim Diler; David Axelson; Benjamin I Goldstein; Mary Beth Hickey; Kelly Monk; Mary L Phillips; Boris Birmaher Journal: J Am Acad Child Adolesc Psychiatry Date: 2019-03-06 Impact factor: 8.829
Authors: Tilman Hensch; David Wozniak; Janek Spada; Christian Sander; Christine Ulke; Dirk Alexander Wittekind; Joachim Thiery; Markus Löffler; Philippe Jawinski; Ulrich Hegerl Journal: Transl Psychiatry Date: 2019-11-11 Impact factor: 6.222