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Item Mid-pregnancy sleep disturbances are not associated with mid-pregnancy maternal glycemia(medRxiv, 2023-04-26) Hawkins, Marquis; Feghali, Maisa; Abebe, Kaleab Z.; Scrifres, Christina M.; Lalama, Christina M.; Costacou, Tina; Catalano, Patrick; Simhan, Hyagriv; Orris, Steve; Mendez, Dara; Buysse, Daniel J.; Davis, Esa M.; Obstetrics and Gynecology, School of MedicineBackground: In pregnancy, epidemiological data have consistently shown strong associations between sleep quality and duration and maternal glycemia. However, other sleep disturbances such as difficulty falling asleep and staying asleep are common in pregnancy. They may contribute to impaired maternal glycemia through sympathetic nervous system activity, systemic inflammation, and hormonal pathways. However, there is little research examining associations between these specific sleep disturbances and maternal glycemia. Objective: This study aimed to investigate the associations of sleep disturbances during mid-pregnancy and mid-pregnancy maternal glycemia and gestational diabetes subtypes. Study design: This is a secondary data analysis of the Comparison of Two Screening Strategies for Gestational Diabetes trial. Participants (n = 828) self-reported the frequency of sleep disturbances (i.e., trouble falling asleep, trouble staying asleep, waking several times per night, and waking feeling tired or worn out) in mid-pregnancy. Gestational diabetes was diagnosed using either the International Associations of Diabetes and Pregnancy Study Groups or Carpenter-Coustan approach. We defined gestational diabetes subtypes based on the degree of insulin resistance and beta-cell dysfunction. We used multinomial logistic regression to examine associations of sleep disturbances with gestational diabetes status (i.e., normal, mild glycemic dysfunction, and gestational diabetes) and gestational diabetes subtypes (i.e., neither insulin resistance or beta-cell dysfunction, insulin resistance only, beta-cell dysfunction only, and insulin resistance and beta-cell dysfunction). Results: A total of 665 participants (80%) had normal glycemia, 81 (10%) mild hyperglycemia, and 80 (10%) had gestational diabetes. Among participants with gestational diabetes, 62 (78%) had both insulin resistance and beta-cell dysfunction, 15 (19 %) had insulin resistance only, and 3 had beta-cell dysfunction only or neither insulin resistance nor beta-cell dysfunction. Sleep disturbance frequency was not associated with maternal glycemia or gestational diabetes subtypes. Conclusions: Sleep disturbances in mid-pregnancy were not associated with maternal glycemia during mid-pregnancy. Future research should collect data on sleep disturbances at multiple time points in pregnancy and in combination with other sleep disturbances to determine whether sleep plays any role in maternal glycemic control.Item Predictors of Sleep-Wake Disturbances in Breast Cancer Survivors Compared to Women Without Breast Cancer(2008-08-22T13:37:48Z) Elam, Julie Lynn; Carpenter, Janet S.Current evidence shows that sleep-wake disturbances are a persistent problem in women surviving breast cancer. The purpose of this study was to refine the knowledge regarding the incidence, prevalence, and predictive factors of sleep-wake disturbances in breast cancer survivors (BCS) compared to age-matched women without breast cancer (WWBC). The cross-sectional, convenience-sample consisted of secondary data from BCS and WWBC who were recruited by two parent quality of life studies. Subjects were matched within +/- 5 years of age. The sample consisted of 246 BCS and 246 WWBC who were a mean age of 48 years old (SD=8.50), Caucasian (70%), employed (69%), married or partnered (76%), postmenopausal (59%), with a college education (56%), and with at least one concurrent medical problem (95%). Results showed that BCS had more prevalent sleep-wake disturbances (65%) compared to WWBC (55%). The poorest sleepers were BCS, women with hot flashes, poor physical functioning, depressive symptoms, or with moderate or high levels of distress related to a life event. BCS had higher PSQI scores indicating poorer sleep quality and higher sleep disturbances compared to WWBC. Predictors of the severity of poor sleep quality and sleep disturbances were BCS, women with higher number of co-morbidities, women with hot flashes, lower levels of physical functioning, higher depressive symptoms, and greater impact of a life event. Disease and treatment related factors did not predict poor sleep or sleep quality in BCS. Sleep disturbances are a problem in long-term BCS. Knowledge of contributing factors provides useful information during clinical evaluations and treatment of BCS reporting poor sleep. Additional research is needed to determine the impact of poor sleep on quality of life and develop/test effective interventions for long-term BCS.Item The Relationship Between Sleep, Cognition and Behavior in Children With Newly-Diagnosed Epilepsy Over 36 Months(Frontiers Media, 2022-07-26) Oyegbile-Chidi, Temitayo; Harvey, Danielle; Eisner, Jordan; Dunn, David; Jones, Jana; Byars, Anna; Hermann, Bruce; Austin, Joan; Psychiatry, School of MedicineIntroduction: There is substantial evidence that children with epilepsy experience more sleep, behavior and cognitive challenges than children without epilepsy. However, the literature is limited in describing the relationship between sleep, epilepsy, cognition and behavioral challenges and the interactions amongst these factors over time. This study aims to understand the nature and strength of the relationship between sleep, cognition, mood and behavior in children with new-onset epilepsy as assessed by multiple informants at multiple time periods using multiple different dependent measures. Methods: 332 participants (6-16years) were recruited within 6 weeks of their first recognized seizure. The comparison group was comprised of 266 healthy siblings. Participants underwent sleep evaluation by a parent using the Sleep Behavioral Questionnaire (SBQ), cognitive evaluation using a comprehensive neuropsychological test battery, a behavioral evaluation using the Child Behavior Checklist (CBCL from parents and TRF from teachers) and the Children's Depression Inventory (CDI). These evaluations were completed at baseline (B), at 18 months, and at 36 months. Results: Compared to siblings, children with new-onset epilepsy had more sleep disturbance (SBQ), higher rates of behavioral problems (CBCL and TRF), lower cognitive testing scores, and higher rates of depression; which persisted over the 36-month study. Sleep significantly correlated with behavioral problems, cognitive scores and depression. When divided into categories based of sleep disturbance scores, 39.7% of children with epilepsy experienced "Persistently Abnormal Sleep", while 14.8% experienced "Persistently Normal Sleep". Children with persistently abnormal sleep experienced the highest rates of behavioral problems, depression and cognitive impairment compared to those with persistently normal sleep, regardless of epilepsy syndrome. Younger age of seizure onset, younger age at testing, and lower grade level at baseline were associated with persistently abnormal sleep. Conclusions: To our knowledge, this is the first demonstration of the nature, strength, reliability, stability and persistence of the relationship between sleep, cognition, and behavioral problems over time in a large cohort of children with newly diagnosed epilepsy, as assessed by multiple informants at different timepoints. The results of this study indicate that children with epilepsy are at a high risk of significant persisting neurobehavioral multimorbidity. Therefore, early screening for these challenges may be essential for optimizing quality of life long-term.