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Item Association of magnesium intake with sleep duration and sleep quality: findings from the CARDIA study(Oxford University Press, 2022) Zhang, Yijia; Chen, Cheng; Lu, Liping; Knutson, Kristen L.; Carnethon, Mercedes R.; Fly, Alyce D.; Luo, Juhua; Haas, David M.; Shikany, James M.; Kahe, Ka; Obstetrics and Gynecology, School of MedicineStudy objectives: As an antagonist of calcium (Ca), magnesium (Mg) has been implicated in the regulation of sleep. We aimed to examine the longitudinal associations of Mg intake and Ca-to-Mg intake ratio (Ca:Mg) with sleep quality and duration. Methods: The study sample consisted of 3,964 participants from the Coronary Artery Risk Development in Young Adults (CARDIA) study. Dietary and supplementary intake of Mg were obtained using the CARDIA Dietary History at baseline (1985-1986), exam years 7 and 20. Self-reported sleep outcomes were measured at years 15 and 20. Sleep quality was rating from 1 (very good) to 5 (very bad). We categorized sleep duration to <7, 7-9, and >9 h. Generalized estimating equation was used to examine the associations of interest as repeated measures at the two time points. Results: After adjustment for potential confounders, Mg intake was borderline associated with better sleep quality [highest quartile (Q4) vs. intake quartile (Q1): odds ratio (OR) = 1.23; 95% CI = 0.999, 1.50, ptrend = 0.051]. Participants in Q4 were also less likely to have short sleep (<7 h) compared to those in Q1 (OR = 0.64; 95% CI = 0.51, 0.81, ptrend = 0.012). The observed association with short sleep persisted among participants without depressive disorders (Q4 vs. Q1: OR = 0.64; 95% CI = 0.49, 0.82, ptrend < 0.001), but not among individuals with depressive disorder. Ca:Mg was not associated with either outcomes, regardless of depression status. Conclusions: Mg intake was associated with both sleep outcomes in this longitudinal analysis. Randomized controlled trials with objective measures of sleep are warranted to establish the potential causal inference.Item Objectively measured short sleep duration and later sleep midpoint in pregnancy are associated with a higher risk of gestational diabetes(Elsevier, 2017-10) Facco, Francesca L.; Grobman, William A.; Reid, Kathryn J.; Parker, Corette B.; Hunter, Shannon M.; Silver, Robert M.; Basner, Robert C.; Saade, George R.; Pien, Grace W.; Manchanda, Shalini; Louis, Judette M.; Nhan-Chang, Chia-Ling; Chung, Judith H.; Wing, Deborah A.; Simhan, Hyagriv N.; Haas, David M.; Iams, Jay; Parry, Samuel; Zee, Phyllis C.; Medicine, School of MedicineBACKGROUND: Experimental and epidemiologic data suggest that among nonpregnant adults, sleep duration may be an important risk factor for chronic disease. Although pregnant women commonly report poor sleep, few studies objectively evaluated the quality of sleep in pregnancy or explored the relationship between sleep disturbances and maternal and perinatal outcomes. OBJECTIVE: Our objective was to examine the relationship between objectively assessed sleep duration, timing, and continuity (measured via wrist actigraphy) and maternal cardiovascular and metabolic morbidity specific to pregnancy. STUDY DESIGN: This was a prospective cohort study of nulliparous women. Women were recruited between 16 0/7 and 21 6/7 weeks' gestation. They were asked to wear a wrist actigraphy monitor and complete a daily sleep log for a period of 7 consecutive days. The primary sleep exposure variables were the averages of the following over the total valid nights (minimum 5, maximum 7 nights): short sleep duration during the primary sleep period (<7 h/night), late sleep midpoint (midpoint between sleep onset and sleep offset >5 am), and top quartile of minutes of wake time after sleep onset and sleep fragmentation index. The primary outcomes of interest were a composite of hypertensive disorders of pregnancy (mild, severe, or superimposed preeclampsia; eclampsia; or antepartum gestational hypertension) and gestational diabetes mellitus. We used χ2 tests to assess associations between sleep variables and categorical baseline characteristics. Crude odds ratios and 95% confidence intervals were estimated from univariate logistic regression models to characterize the magnitude of the relationship between sleep characteristics and hypertensive disorders of pregnancy and gestational diabetes. For associations significant in univariate analysis, multiple logistic regression was used to explore further the association of sleep characteristics with pregnancy outcomes. RESULTS: In all, 901 eligible women consented to participate; 782 submitted valid actigraphy studies. Short sleep duration and a later sleep midpoint were associated with an increased risk of gestational diabetes (odds ratio, 2.24; 95% confidence interval, 1.11-4.53; and odds ratio, 2.58; 95% confidence interval, 1.24-5.36, respectively) but not of hypertensive disorders. A model with both sleep duration and sleep midpoint as well as their interaction term revealed that while there was no significant interaction between these exposures, the main effects of both short sleep duration and later sleep midpoint with gestational diabetes remained significant (adjusted odds ratio, 2.06; 95% confidence interval, 1.01-4.19; and adjusted odds ratio, 2.37; 95% confidence interval, 1.13-4.97, respectively). Additionally, after adjusting separately for age, body mass index, and race/ethnicity, both short sleep duration and later sleep midpoint remained associated with gestational diabetes. No associations were demonstrated between the sleep quality measures (wake after sleep onset, sleep fragmentation) and hypertensive disorders or gestational diabetes. CONCLUSION: Our results demonstrate a relationship between short sleep duration and later sleep midpoint with gestational diabetes. Our data suggest independent contributions of these 2 sleep characteristics to the risk for gestational diabetes in nulliparous women.Item Poor Sleep and Obesity: Concurrent Epidemics in Adolescent Youth(Frontiers Media, 2018-07-10) Gohil, Anisha; Hannon, Tamara S.; Pediatrics, School of MedicinePoor sleep and obesity are both extraordinarily common in the US adolescent population and often occur simultaneously. This review explores the links between obesity and sleep, outlining what is known about the relationships between sleep characteristics, obesity, and cardiometabolic risk factors in youth. Sleep duration is less than optimal in teens, and decreases as age increases. This is detrimental to overall well-being and is associated with obesity in children, adolescents, and young adults. Accordingly, inadequate sleep duration is associated with poor diet quality, decreased insulin sensitivity, hyperglycemia, and prevalent cardiometabolic risk factors. Evidence suggests that poor sleep quality and altered circadian timing characterized by a preferred later sleep onset, known as "adolescent chronotype," contributes to shortened sleep duration. Obstructive sleep apnea (OSA) occurs more frequently among youth with obesity, and is associated with autonomic nervous system activity promoting higher blood pressure, increased markers of cardiovascular disease risk, and insulin resistance. While there is a clear association between OSA and type 2 diabetes in adults, whether or not this association is prevalent in youth is unclear at this time. Interventions to improve both sleep duration and quality, and obesity in adolescents are scarce and more evidence is needed to determine if such interventions can improve obesity-related health outcomesItem Relationships Between Remote Learning Modalities and Nursing Students' Perceptions of Their Sleep Quality During the COVID-19 Pandemic(Wolters Kluwer, 2023) Ngo, Thye Peng; Antisdel, J’Andra L.; Xing, Kuan; Reising, Deanna L.; School of NursingBackground: The relationship between learning modalities and nursing students' sleep quality during the coronavirus disease (COVID-19) pandemic is unknown. Purpose: This study examined the relationships between remote learning and the sleep quality of nursing students during the COVID-19 pandemic. Methods: Using a cross-sectional descriptive design, 890 nursing students were surveyed online to identify sleeping habits and learning modalities. Results: There were no significant correlations between remote learning hours, self-reported sleep hours, and sleep quality. The asynchronous-only group reported better sleep quality than the in-person and online hybrid group after controlling for health conditions and grade point average. Students who reported that remote learning had impacted their sleep had poorer sleep quality. Conclusions: This study provides insight into how different learning modalities impact nursing students' sleep quality during the pandemic.Item Sleep During Pregnancy: The nuMoM2b Pregnancy and Sleep Duration and Continuity Study(Oxford University Press, 2017-05-01) Reid, Kathryn J.; Facco, Francesca L.; Grobman, William A.; Parker, Corette B.; Herbas, Marcos; Hunter, Shannon; Silver, Robert M.; Basner, Robert C.; Saade, George R.; Pien, Grace W.; Manchanda, Shalini; Louis, Judette M.; Nhan-Chang, Chia-Lang; Chung, Judith H.; Wing, Deborah A.; Simhan, Hyagriv N.; Haas, David M.; Iams, Jay; Parry, Samuel; Zee, Phyllis C.; Medicine, School of MedicineStudy Objectives: To characterize sleep duration, timing and continuity measures in pregnancy and their association with key demographic variables. Methods: Multisite prospective cohort study. Women enrolled in the nuMoM2b study (nulliparous women with a singleton gestation) were recruited at the second study visit (16-21 weeks of gestation) to participate in the Sleep Duration and Continuity substudy. Women <18 years of age or with pregestational diabetes or chronic hypertension were excluded from participation. Women wore a wrist activity monitor and completed a sleep log for 7 consecutive days. Time in bed, sleep duration, fragmentation index, sleep efficiency, wake after sleep onset, and sleep midpoint were averaged across valid primary sleep periods for each participant. Results: Valid data were available from 782 women with mean age of 27.3 (5.5) years. Median sleep duration was 7.4 hours. Approximately 27.9% of women had a sleep duration of <7 hours; 2.6% had a sleep duration of >9 hours. In multivariable models including age, race/ethnicity, body mass index, insurance status, and recent smoking history, sleep duration was significantly associated with race/ethnicity and insurance status, while time in bed was only associated with insurance status. Sleep continuity measures and sleep midpoint were significantly associated with all covariates in the model, with the exception of age for fragmentation index and smoking for wake after sleep onset. Conclusions: Our results demonstrate the relationship between sleep and important demographic characteristics during pregnancy.Item Subjective cognitive impairment and its relationship to sleep impairment, anxiety severity, and depressive symptoms in individuals with bipolar disorder(Elsevier, 2022) Siegel-Ramsay, Jennifer E.; Wu, Bryan; Bond, Mark; Spelber, David; Chiang, Karl S.; Lanza di Scalea, Teresa; Collier, Sam J.; Smith, Tawny; Nunez, Leyna; Fuller, Ersten; Strakowski, Stephen M.; Lippard, Elizabeth; Almeida, Jorge R. C.; Psychiatry, School of MedicineObjectives: Individuals with bipolar disorder commonly report cognitive impairment which is associated with several psychosocial factors (e.g., mood symptoms). Within this study, we investigated the relationship between these psychosocial factors and the perception of cognitive impairment in individuals with bipolar disorder. Methods: We measured the relationship between subjective cognitive impairment and mood symptoms, quality of life, age, gender, bipolar disorder subtype, anxiety and sleep disturbance in 140 individuals with bipolar disorder with a mixed linear regression model. Our primary outcome measures were obtained via National Institute of Health (NIH)-sponsored PROMIS cognition scores. Results: Results from the model suggest that both the PROMIS Cognitive Function and Cognitive Function-Abilities scores were significantly negatively correlated with sleep disturbance and depression symptoms (p≤0.05). PROMIS Cognitive Function was also significantly negatively correlated with anxiety (p≤0.05). Limitations: Limitations of this study include the absence of a healthy control group, limited demographic diversity, and cross-sectional study design. Conclusions: Perceived cognitive impairment in individuals with bipolar disorder is associated with increased sleep disturbance, depression, and anxiety. Future studies with objective cognitive measures combined with PROMIS self-report scores might further clarify the expression of cognitive impairment in bipolar disorder.