Browsing by Subject "sleep quality"

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    Effect of Depression Treatment on Health Behaviors and Cardiovascular Risk Factors Among Primary Care Patients with Depression: Data from the eIMPACT Trial
    (2023-12) Schuiling, Matthew D.; Stewart, Jesse; Hirsh, Adam; Wu, Wei
    Background. Although depression is a risk factor for cardiovascular disease (CVD), few clinical trials in people without CVD have examined the effect of depression treatment on CVD-related outcomes. It’s unknown if successful depression treatment improves indicators of CVD risk, such as CVD-relevant health behaviors, traditional CVD risk factors, and CVD events. Methods. We examined data from eIMPACT trial, a phase II randomized controlled trial conducted from 2015-2020. Depressive symptoms, CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed. Incident CVD events over four years were identified using a statewide health information exchange. Results. The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). CVD-relevant health behaviors did not mediate any intervention effects on traditional CVD risk factors. Twenty-two participants (10%) experienced an incident CVD event. The likelihood of an CVD event did not differ between the intervention group (12.1%) and the usual care group (8.3%; HR = 1.45, 95% CI: 0.62-3.40, p = 0.39). Conclusions. Successful depression treatment alone improves self-reported sleep quality but is not sufficient to lower CVD risk of people with depression. Alternative approaches may be needed reduce CVD risk in depression. Trial Registration: ClinicalTrials.gov Identifier: NCT02458690
  • Thumbnail Image
    Item
    Relationship Between Sleep Quality, Depression Symptoms, and Blood Glucose in Pregnant Women
    (Sage, 2019-09) Ahmed, Azza; Sun, Hui; Crodian, Jennifer; Plaut, Karen; Haas, David; Zhang, Lingsong; Casey, Theresa; Obstetrics and Gynecology, School of Medicine
    Sleep quality during pregnancy affects maternal/child health. We aimed to assess changes in sleep quality during pregnancy and determine its relationship to maternal mood, blood glucose, and work schedule among primiparous women. We conducted a prospective/longitudinal/observational study. Ninety-two pregnant women were recruited from Midwestern hospital. Mood and sleep quality data were collected using Edinburgh Postnatal Depression Scale/Pittsburgh Sleep Quality Index at Gestational Weeks 22 and 32. Forty-three women completed the study. Twenty-six women (63%) were African American and the mean age was 23.64 (SD = 3.82) years. Rate of poor sleep quality increased during pregnancy with 25% of women had scores indicative of depression symptoms. Poor sleep quality score was related to mood scores (p < .05) and work schedule. Blood glucose was not significantly related to sleep duration. In conclusion, poor sleep quality during pregnancy was associated with poor mood and work schedule, suggesting that interventions targeting mental health and lifestyles are needed.
  • Thumbnail Image
    Item
    Sleep in children with type 1 diabetes and their parents in the T1D Exchange
    (Elsevier, 2017-11) Jaser, Sarah S.; Foster, Nicole C.; Nelson, Bryce A.; Kittelsrud, Julie M.; DiMeglio, Linda A.; Quinn, Maryanne; Willi, Steven M.; Simmons, Jill H.; Pediatrics, School of Medicine
    Objectives Sleep has physiological and behavioral impacts on diabetes outcomes, yet little is known about the impact of sleep disturbances in children with type 1 diabetes. The current study sought to characterize sleep in children with type 1 diabetes and in their parents and to examine the associations between child sleep, glycemic control and adherence, parent sleep and well-being, parental fear of hypoglycemia, and nocturnal caregiving behavior. Methods Surveys were emailed to parents of 2- to 12-year-old participants in the Type 1 Diabetes (T1D) Exchange clinic registry. Clinical data were obtained from the registry for the 515 respondents. Results In our sample, 67% of children met criteria for poor sleep quality. Child sleep quality was related to glycemic control (HbA1c of 7.9% [63 mmol/mol] in children with poor sleep quality vs 7.6% [60 mmol/mol] in children with non-poor sleep quality; P < 0.001) but not mean frequency of blood glucose monitoring (BGM) (7.6 times/day vs 7.4 in poor/non-poor quality; P = 0.56). Associations were similar for sleep duration. Children with poor sleep quality were more likely to experience severe hypoglycemia (4% in children with poor sleep quality vs 1% in children with non-poor sleep quality; P = 0.05) and more likely to experience DKA (7% vs 4%, respectively; P < 0.001). Poorer child sleep quality was associated with poorer parental sleep quality, parental well-being, and fear of hypoglycemia (P < 0.001 for all). Child sleep was not related to the use of diabetes-related technology (CGM, insulin pump). Conclusions Sleep may be a modifiable factor to improve glycemic control and reduce parental distress.
  • Thumbnail Image
    Item
    What are key characteristics of adults with advanced heart failure discharged from ICU?
    (Wiley, 2024-05) Edmiston, Elizabeth A.; Hardin, Heather K.; Dolansky, Mary A.; School of Nursing
    Background As the number of people with heart failure and treatment complexity increases, many hospitals are implementing Advanced Heart Failure Intensive Care Units (AHFICU). However, little evidence concerning the clinical characteristics of people admitted to AHFICUs exists. Understanding the clinical characteristics of people admitted to the AHFICU will assist nurses with implementing tailored interventions to ensure high-quality care delivery. Aim The purpose of this study was to describe the clinical characteristics of people who are admitted to and discharged from an AHFICU. Study Design Baseline data from a longitudinal descriptive study were collected on adults (N = 43) admitted to an AHFICU. Heart failure severity, self-management ability, cognition, sleep quality, and other clinical characteristics were assessed. Results Most study participants were New York Heart Association functional class IV (n = 24) or class III (n = 14), indicating poor functional capacity. Over half had mild cognitive impairment and poor sleep quality was prevalent (92.7%). Participants had adequate levels of heart failure knowledge, but low levels of heart failure self-management decision-making and ability. Conclusions Interventions to address the unique clinical characteristics of AHFICU patients include sleep hygiene, integration of cognitive, sleep, and self-management assessments into the electronic medical record. Addressing the unique clinical needs of people with heart failure will lead to patient-centered, evidence-based, and safe care.