Michele L Okun1,2, Vanessa Obetz3, Leilani Feliciano3. 1. BioFrontiers Center, University of Colorado, Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO, 80918, USA. mokun@uccs.edu. 2. Department of Psychology, University of Colorado, Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO, 80918, USA. mokun@uccs.edu. 3. Department of Psychology, University of Colorado, Colorado Springs, 1420 Austin Bluffs Parkway, Colorado Springs, CO, 80918, USA.
Abstract
BACKGROUND: It is unclear whether subjective or objective measures of sleep during pregnancy are more pertinent to pregnancy outcomes. Moreover, it is unclear as to whether subjective indices (i.e., those likely influenced by psychological thoughts and emotions) are more likely than objective measures to modify inflammatory cytokines. METHOD: Subjective and objective measures of sleep were collected from 166 pregnant women. Sleep data, both aggregate and variability measures, from diary and actigraphy, were ascertained for three 2-week periods during early gestation (10-20 weeks). A fasting morning blood sample was assayed for the cytokines (IL-6, IFN-γ, and TNF-α). Sleep, stress, and depression questionnaires were also collected. Repeated measures ANOVAs, regression models, and independent t tests were used to analyze the data. RESULTS: Diary-assessed total sleep time (p < .05) and actigraphy-assessed sleep latency (p = .05) were negatively associated with gestational age. Variability in actigraphy-assessed sleep latency (p < .01) was negatively associated with infant weight. None of the cytokines was associated with any of the outcomes. t tests revealed that those with a complication were older (p < .05) and had higher pre-pregnancy BMI (p < .05), higher self-reported stress (p < .05), and lower IFN-γ (p < .05). CONCLUSION: Findings suggest that longer and more variable sleep latency, as well as shorter sleep duration, is associated with shorter gestational age or a lower birth weight infant. Overall, the findings suggest that among a low-risk, healthy sample of pregnant women, sleep disturbance does not pose a substantial risk for adverse delivery outcomes.
BACKGROUND: It is unclear whether subjective or objective measures of sleep during pregnancy are more pertinent to pregnancy outcomes. Moreover, it is unclear as to whether subjective indices (i.e., those likely influenced by psychological thoughts and emotions) are more likely than objective measures to modify inflammatory cytokines. METHOD: Subjective and objective measures of sleep were collected from 166 pregnant women. Sleep data, both aggregate and variability measures, from diary and actigraphy, were ascertained for three 2-week periods during early gestation (10-20 weeks). A fasting morning blood sample was assayed for the cytokines (IL-6, IFN-γ, and TNF-α). Sleep, stress, and depression questionnaires were also collected. Repeated measures ANOVAs, regression models, and independent t tests were used to analyze the data. RESULTS: Diary-assessed total sleep time (p < .05) and actigraphy-assessed sleep latency (p = .05) were negatively associated with gestational age. Variability in actigraphy-assessed sleep latency (p < .01) was negatively associated with infant weight. None of the cytokines was associated with any of the outcomes. t tests revealed that those with a complication were older (p < .05) and had higher pre-pregnancy BMI (p < .05), higher self-reported stress (p < .05), and lower IFN-γ (p < .05). CONCLUSION: Findings suggest that longer and more variable sleep latency, as well as shorter sleep duration, is associated with shorter gestational age or a lower birth weight infant. Overall, the findings suggest that among a low-risk, healthy sample of pregnant women, sleep disturbance does not pose a substantial risk for adverse delivery outcomes.
Authors: T Leigh Signal; Philippa H Gander; Michel R Sangalli; Noémie Travier; Ridvan T Firestone; Jeremy F Tuohy Journal: Aust N Z J Obstet Gynaecol Date: 2007-02 Impact factor: 2.100
Authors: Marci Lobel; Dolores Lacey Cannella; Jennifer E Graham; Carla DeVincent; Jayne Schneider; Bruce A Meyer Journal: Health Psychol Date: 2008-09 Impact factor: 4.267
Authors: Mary E Coussons-Read; Marci Lobel; J Chris Carey; Marianne O Kreither; Kimberly D'Anna; Laura Argys; Randall G Ross; Chandra Brandt; Stephanie Cole Journal: Brain Behav Immun Date: 2012-03-07 Impact factor: 7.217
Authors: Michele L Okun; Kerith Kiewra; James F Luther; Stephen R Wisniewski; Katherine L Wisner Journal: Depress Anxiety Date: 2011-05-23 Impact factor: 6.505
Authors: Linnea Karlsson; Niko Nousiainen; Noora M Scheinin; Mikael Maksimow; Marko Salmi; Soili M Lehto; Mimmi Tolvanen; Heikki Lukkarinen; Hasse Karlsson Journal: Arch Womens Ment Health Date: 2016-10-04 Impact factor: 3.633
Authors: Laura Palagini; Alessandra Bramante; Chiara Baglioni; Nicole Tang; Luigi Grassi; Ellemarije Altena; Anna F Johann; Pierre Alexis Geoffroy; Giovanni Biggio; Claudio Mencacci; Verinder Sharma; Dieter Riemann Journal: Arch Womens Ment Health Date: 2022-04-13 Impact factor: 4.405