Dataset Information

State and regional prevalence of sleep disturbance and daytime fatigue.

ABSTRACT: Social and demographic influences are important for sleep attainment. Geographic location has not been previously explored.Data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS) were used (N = 157,319). Participants answered a question on Sleep Disturbance and Daytime Fatigue. Thirty-six states/regions provided data on these items. Prevalence estimates were adjusted for age, sex, ethnoracial group, education, income, employment, general health, healthcare access, and depression. Chi-squared tests were conducted across states and census regions, and pseudo-R(2) values were computed for the effect of state, relative to other predictors. To evaluate potential mediators of census region differences, an analysis of p value change associated with specific covariates and covariate groups was undertaken.Adjusted prevalence rates of Sleep Disturbance differed across states/regions overall (?(2) = 412.3, p < 0.0001), as well as separately for men (?(2) = 139.5, p < 0.0001) and women (?(2) = 350.0, p < 0.0001), as did rates of Daytime Fatigue overall (?(2) = 245.7, p < 0.0001), and separately for men (?(2) = 117.5, p < 0.0001) and women (?(2) = 181.2, p < 0.0001). Analysis of pseudo-R(2) values revealed that despite these significant findings, state differences were an overall weak predictor, representing 1.30% to 1.73% of the magnitude of the effect of the best predictor (mental health). When Census regions were compared, significant differences were found for Sleep Disturbance (p = 0.002), but after adjustment for covariates, these were no longer significant. Differences existed for Daytime Fatigue in adjusted analyses overall (p < 0.0001), with the West reporting the fewest complaints and the South reporting the most.These results demonstrate that reports of sleep related complaints vary across states, independent (at least partially) of factors that influence circadian rhythms (e.g., latitude).

SUBMITTER: Grandner MA

PROVIDER: S-EPMC3266332 | biostudies-other | 2012 Feb

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

State and regional prevalence of sleep disturbance and daytime fatigue.

Grandner Michael A MA Jackson Nicholas J NJ Pigeon Wilfred R WR Gooneratne Nalaka S NS Patel Nirav P NP

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 20120215 1

<h4>Study objectives</h4>Social and demographic influences are important for sleep attainment. Geographic location has not been previously explored.<h4>Methods</h4>Data from the 2006 Behavioral Risk Factor Surveillance System (BRFSS) were used (N = 157,319). Participants answered a question on Sleep Disturbance and Daytime Fatigue. Thirty-six states/regions provided data on these items. Prevalence estimates were adjusted for age, sex, ethnoracial group, education, income, employment, general hea ...[more]

PMID: 22334813

Similar Datasets

Project description:Importance:Sleep-wake disorders are a common and debilitating nonmotor manifestation of Parkinson disease (PD), but treatment options are scarce. Objective:To determine whether nocturnal administration of sodium oxybate, a first-line treatment in narcolepsy, is effective and safe for excessive daytime sleepiness (EDS) and disturbed nighttime sleep in patients with PD. Design, Setting, and Participants:Randomized, double-blind, placebo-controlled, crossover phase 2a study carried out between January 9, 2015, and February 24, 2017. In a single-center study in the sleep laboratory at the University Hospital Zurich, Zurich, Switzerland, 18 patients with PD and EDS (Epworth Sleepiness Scale [ESS] score >10) were screened in the sleep laboratory. Five patients were excluded owing to the polysomnographic diagnosis of sleep apnea and 1 patient withdrew consent. Thus, 12 patients were randomized to a treatment sequence (sodium oxybate followed by placebo or placebo followed by sodium oxybate, ratio 1:1) and, after dropout of 1 patient owing to an unrelated adverse event during the washout period, 11 patients completed the study. Two patients developed obstructive sleep apnea during sodium oxybate treatment (1 was the dropout) and were excluded from the per-protocol analysis (n?=?10) but included in the intention-to-treat analysis (n?=?12). Interventions:Nocturnal sodium oxybate and placebo taken at bedtime and 2.5 to 4.0 hours later with an individually titrated dose between 3.0 and 9.0 g per night for 6 weeks with a 2- to 4-week washout period interposed. Main Outcomes and Measures:Primary outcome measure was change of objective EDS as electrophysiologically measured by mean sleep latency in the Multiple Sleep Latency Test. Secondary outcome measures included change of subjective EDS (ESS), sleep quality (Parkinson Disease Sleep Scale-2), and objective variables of nighttime sleep (polysomnography). Results:Among 12 patients in the intention-to-treat population (10 men, 2 women; mean [SD] age, 62 [11.1] years; disease duration, 8.4 [4.6] years), sodium oxybate substantially improved EDS as measured objectively (mean sleep latency, +2.9 minutes; 95% CI, 2.1 to 3.8 minutes; P?=?.002) and subjectively (ESS score, -4.2 points ; 95% CI, -5.3 to -3.0 points; P?=?.001). Thereby, 8 (67%) patients exhibited an electrophysiologically defined positive treatment response. Moreover, sodium oxybate significantly enhanced subjective sleep quality and objectively measured slow-wave sleep duration (+72.7 minutes; 95% CI, 55.7 to 89.7 minutes; P?<?.001). Differences were more pronounced in the per-protocol analysis. Sodium oxybate was generally well tolerated under dose adjustments (no treatment-related dropouts), but it induced de novo obstructive sleep apnea in 2 patients and parasomnia in 1 patient, as detected by polysomnography, all of whom did not benefit from sodium oxybate treatment. Conclusions and Relevance:This study provides class I evidence for the efficacy of sodium oxybate in treating EDS and nocturnal sleep disturbance in patients with PD. Special monitoring with follow-up polysomnography is necessary to rule out treatment-related complications and larger follow-up trials with longer treatment durations are warranted for validation. Trial Registration:clinicaltrials.gov Identifier: NCT02111122.

Project description:Getting good and sufficiently long sleep at night is important for health, effective functioning, and well-being. However, insufficient or delayed sleep are important and growing social problems that can lead to fatigue, poor performance, deterioration of well-being, circadian rhythm disturbances, and health problems. One of the significant determinants of sleep deprivation is bedtime procrastination, which is understood as the individual tendency to postpone going to bed in the absence of any external circumstances that force one to do so. Nowadays, this phenomenon is widespread in various social groups, especially among students. Despite the high prevalence of bedtime procrastination, its relationship with personality characteristics has not yet been thoroughly studied. The presented research aimed to identify the possible impact of the basic dispositional personality traits and trait-like personality characteristics on bedtime procrastination and daytime fatigue resulting from a deficiency of sleep at night. The responses from 399 university students who voluntarily took part in an internet survey were analyzed. The severity of bedtime procrastination was assessed using the Bedtime Procrastination Scale. Five basic dispositional personality traits (extraversion, neuroticism, conscientiousness, agreeableness, and openness/intellect) and their components (aspects) were measured using the International Personality Item Pool - Big Five Aspects Scale. Self-esteem and general self-efficacy were assessed using the Rosenberg Self-Esteem Scale and the General Self-Efficacy Scale. Perceived locus of control was measured using the Delta Questionnaire. The direct and indirect relationships between personality variables and daytime fatigue were investigated using linear regression models with bedtime procrastination as a mediator variable. Industriousness and orderliness, both of which are aspects of conscientiousness, were found to be indirectly associated with daytime fatigue as a consequence of their impact on bedtime procrastination. Volatility and withdrawal, both of which are aspects of neuroticism, were found to be directly related to daytime fatigue without the intermediary impact of bedtime procrastination. Self-esteem was shown to be associated with experiencing daytime fatigue, both directly and indirectly through bedtime procrastination. General self-efficacy and external locus of control were associated with daytime fatigue only directly, without the intermediary role of bedtime procrastination. The results of our research indicate that personality factors may not only play an important role in shaping sleep-related health behaviors, but they also affect well-being during the day.

Project description:OBJECTIVE:To investigate the relationship between sleep disturbance, fatigue, and urinary incontinence (UI) and overactive bladder (OAB) symptoms among patients with OAB. METHODS:Patients who were diagnosed with OAB and age-matched control subjects without OAB were enrolled. Sleep disturbance and fatigue symptoms were assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) short forms. UI and OAB symptoms were assessed using the International Consultation on Incontinence Questionnaire-Urinary Incontinence (ICIQ-UI), the International Consultation on Incontinence Questionnaire-Overactive Bladder (ICIQ-OAB), the Overactive Bladder Questionnaire (OAB-q), the Urogenital Distress Inventory Short Form (UDI-6), and the Incontinence Impact Questionnaire Short Form (IIQ-7). Psychosocial health (depression, anxiety, and perceived stress level) was also assessed. RESULTS:Patients with OAB reported a significantly greater sleep disturbance compared with controls (PROMIS 8b T-scores: 54.3?±?10.3 vs 43.8?±?9.2). Patients with OAB also reported a significantly greater fatigue compared with controls (PROMIS 7a T-scores: 54.7?±?9.6 vs 46.0?±?6.4). After adjusting for nocturia, the differences in sleep disturbance between OAB and controls became insignificant (P?=?.21), whereas the differences in fatigue between OAB and controls remained significant (P?=?.014). Among patients with OAB, there were positive correlations between sleep disturbance and the severity of OAB symptoms (ICIQ-OAB), poorer health-related quality of life (OAB-q QOL), the severity of UI symptoms (ICIQ-UI), greater incontinence impact (IIQ-7), and urinary bother (UDI-6). Positive correlations were also observed between fatigue and worse UI and OAB symptoms and quality of life. Both sleep disturbance and fatigue were associated with poor psychosocial health (depression, anxiety, and higher stress level) among patients with OAB. CONCLUSION:Sleep disturbance and fatigue are present in substantial percentages of patients with OAB. Among patients with OAB, sleep disturbance and fatigue were associated with more severe UI and OAB symptoms, worse health-related quality of life, and poorer psychosocial health.

Project description:CONTEXT:Symptom researchers have proposed a model of inflammatory cytokine activity and dysregulation in cancer to explain co-occurring symptoms including pain, fatigue, and sleep disturbance. OBJECTIVES:We tested the hypothesis that psychological stress accentuates inflammation and that stress and inflammation contribute to one's experience of the pain, fatigue, and sleep disturbance symptom cluster (symptom cluster severity, symptom cluster distress) and its impact (symptom cluster interference with daily life, quality of life). METHODS:We used baseline data from a symptom cluster management trial. Adult participants (N = 158) receiving chemotherapy for advanced cancer reported pain, fatigue, and sleep disturbance on enrollment. Before intervention, participants completed measures of demographics, perceived stress, symptom cluster severity, symptom cluster distress, symptom cluster interference with daily life, and quality of life and provided a blood sample for four inflammatory biomarkers (interleukin-1?, interleukin-6, tumor necrosis factor-?, and C-reactive protein). RESULTS:Stress was not directly related to any inflammatory biomarker. Stress and tumor necrosis factor-? were positively related to symptom cluster distress, although not symptom cluster severity. Tumor necrosis factor-? was indirectly related to symptom cluster interference with daily life, through its effect on symptom cluster distress. Stress was positively associated with symptom cluster interference with daily life and inversely with quality of life. Stress also had indirect effects on symptom cluster interference with daily life, through its effect on symptom cluster distress. CONCLUSION:The proposed inflammatory model of symptoms was partially supported. Investigators should test interventions that target stress as a contributing factor in co-occurring pain, fatigue, and sleep disturbance and explore other factors that may influence inflammatory biomarker levels within the context of an advanced cancer diagnosis and treatment.

Project description:BACKGROUND:There is limited research in advanced cancer patients (ACP) regarding association between objectively measured daytime activity and sleep (as measured by actigraphy), patient characteristics, and cancer symptoms (fatigue, sleep, anxiety, depression, cachexia, and symptom distress scores [SDSs]). OBJECTIVES:Our aim of the study was to determine the association between mean daytime activity (MDTA) and the following items: fatigue (FACIT-F), SDSs (Edmonton Symptom Assessment Scale [ESAS]), sleep quality (Pittsburg Sleep Quality Index [PSQI]), objective sleep variables (OSV) (sleep onset, sleep efficacy, wake after sleep onset, total sleep time), anxiety and depression (Hospital Anxiety and Depression Scale [HADS]), body composition scores, and overall survival (OS). We also examined the association between sleep [PSQI and OSV scores] and FACIT-F, HADS, and ESAS. METHODS:Secondary analysis of a recent clinical trial of cancer-related fatigue in advanced cancer (NCT00424099). Association between MDTA and OSV (measured by actigraphy) during the first week of the study and patient characteristics, symptoms (FACIT-F, ESAS, HADS, and PSQI), and OS were analyzed. RESULTS:Seventy-nine eligible patients were evaluable. The median age was 57 years. Median MDTA was 248.43 counts/minute. Multivariate analysis shows that low MDTA was significantly associated with age, gender, Functional Assessment of Cancer Therapy (FACT)-Functional Well-Being (FWB), ESAS dyspnea, HADS-anxiety, and total sleep time. MDTA was not associated with FACIT-F (p?=?0.997) and OS (p?=?0.18). Sleep quality (PSQI) was significantly associated with FACIT-F, HADS, ESAS anxiety, and depression, but none of these variables was associated with OSV. CONCLUSION:In ACP, lower MDTA was significantly associated with age, gender, FACT-FWB, ESAS dyspnea, HADS-anxiety, and total sleep time. Both sleep quality and cancer-related fatigue scores were strongly associated with depression and anxiety. More research is needed.

Dataset Information

State and regional prevalence of sleep disturbance and daytime fatigue.

Publications

State and regional prevalence of sleep disturbance and daytime fatigue.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure