Association Between Sleep Quality and Recovery Following Sport-Related Concussion in Pediatrics

2019 ◽  
Vol 34 (11) ◽  
pp. 639-645 ◽  
Author(s):  
Jane S. Chung ◽  
Aaron J. Zynda ◽  
Nyaz Didehbani ◽  
Cason Hicks ◽  
Linda S. Hynan ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Symptom Severity ◽  
Early Recognition ◽  
Clinic Visit ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
North Texas ◽  
The North ◽  
Prolonged Recovery

Our objective was to determine the association between sleep quality, symptom severity, and recovery following sport-related concussion in pediatric athletes. A review of data from the North Texas Concussion Network Prospective Registry (ConTex) was performed. Participants were diagnosed with a sport-related concussion and were ≤18 years old. Participants were categorized based on their initial clinic visit Pittsburgh Sleep Quality Index composite score (0-21) into good sleep quality (GS≤5) and poor sleep quality (PS>5) groups. The PS group reported higher median total symptom scores at 3-month follow-up (3.0 vs 0.0, P < .01) and took more than a median of 2 weeks longer to recover compared to the GS group (35.0 days vs 20.0 days, P < .01). Poor sleep quality was strongly associated with greater symptom severity and longer time to recovery following sport-related concussion. Early recognition of concussed athletes with poor sleep quality at initial clinic visit may help predict prolonged recovery.

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

scholarly journals Sleep Quality and Associated Factors among Peoples with Epilepsy Who Have a Follow-Up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019: An Institutional Based Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kemeriya Adem ◽  
Tilahun Kassew ◽  
Addis Birhanu ◽  
Ayalew Abate
Keyword(s):  
Sleep Quality ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Specialized Hospital

Background. Sleep is an active cyclic biological phenomenon and necessary for survival. Individuals who suffer from sleep disturbance are less productive, decreased performance, and negative effects on mental health. Despite there are different studies on sleep quality in Ethiopia, no studies have been conducted on magnitude and predictors of sleep quality among people with epilepsy in the study setting. Objective. To assess sleep quality and associated factors among people with epilepsy who have a follow-up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019. Method. An institution-based cross-sectional study was employed from May-June 2019. Systematic random sampling following face to face interview technique was employed. Epi-data version 3.1 and SPSS version 25 statistical packages were used for data entry and analysis, respectively. Frequencies, proportions, means, SDs, and cross-tabulations were used to summarize descriptive statistics of the data and tables, texts, and graphs were used for data presentation. To identify association and significant predictor with the outcome variable, binary logistic regression was fitted. The variable which has statistical significance was identified on the basis of p values ≤ 0.05 and AOR with 95% confident intervals. Results. A total of 423 participants have been enrolled to the study with a response rate of 98.1%. The prevalence of poor sleep quality among peoples live with epilepsy was found 65.4% (95% CI: 61.0, 69.9). Being female (AOR=2.94; (95% CI; 1.79, 4.85)), having stress full life events (AOR=2.38; (95% CI; 1.43, 3.97)), nonadherent to AED medication (AOR=1.86; (95% CI; 1.05, 2.78), poly-therapy treatment (AOR=2.24; (95% CI; 1.05, 2.78)), poor seizer control (AOR=2.4; (95% CI; 2.21, 12.46)), comorbid medical illness (AOR=2.6; (95% CI; 1.18, 5.61)), and anxiety (AOR=2.54; (95% CI; 1.52,4.24)) were factors significantly associated with poor sleep quality. Conclusion. This study revealed that more than half of the study participants were found to have poor sleep quality. So, considering the regular assessment of sleep quality and factors associated followed with appropriate intervention is recommended among peoples living with epilepsy.

scholarly journals Sleep quality and associated factors among patients with chronic illness at South Wollo Zone Public Hospitals, Northeast Ethiopia

2021 ◽  
Vol 5 (1) ◽  
pp. 043-050
Author(s):  
Edmealem Afework ◽  
Ademe Sewunet ◽  
Andualem Atsedemariam
Keyword(s):  
Chronic Illness ◽  
Sleep Quality ◽  
Associated Factors ◽  
Public Hospitals ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Northeast Ethiopia ◽  
Ethical Approval ◽  
Study Participants

Background: Pathological and nighttime sleep deprivations have substantial adverse effects on regulation of weight, sugar and blood pressure because of endothelial dysfunction, sympathetic nervous system stimulation, regulation and activation of systemic inflammation. Thus, this study was aimed to assess quality of sleep among patients with chronic illness and its associated factors at South Wollo Zone Public Hospitals, Northeast Ethiopia. Methods and Materials: The study was conducted at South Wollo Zone Public Hospitals, Northeast Ethiopia from February 15 2019 till April 15 2019. Institutional based cross sectional study design was employed. All patients with chronic illness who are on follow up in South Wollo Zone Public Hospitals were sources of population. Sample size was calculated by using EPI info version 7 and the total sample size was 344. The study employed stratified random sampling technique and study participants were selected by systematic sampling. After taking ethical approval from College of Medicine and Health Sciences Ethical Approval Committee, permission from selected Hospitals and informed verbal consent from patients, the data were collected by a tool which has 3 parts: Sociodemographic data, Pittsburgh Sleep Quality Index and factors affecting sleep quality. Data were entered in to Epi data version 4.1 and exported to Statistical Package for Service Product 25 for analysis. Different data presentation tools and binary logistic regression were enrolled by considering 95% confidence level and p value of 0.05. Result: Among the total study participants, near to one third (31.7%) of them got sleep after 30 minutes. More than one fourth of them slept for less than 7 hours. Less than half of the study participants had habitual sleep efficiency of more than 85% however 296(86%) of them did not face day time dysfunction Conclusion and recommendations: more than one third of patients with chronic illness had poor sleep quality. One third of study participants had sleep duration of less than the recommendations(less than 7 hours). Age, educational status, residence, and perception of prognosis of disease were factors that have associations with poor sleep quality among patients with chronic illness. Health care providers who are doing in chronic illness follow up clinic should be initiated to assess and screen those patients with poor sleep quality.

scholarly journals Decrease in Sleep Duration and Poor Sleep Quality over Time Is Associated with an Increased Risk of Incident Non-Alcoholic Fatty Liver Disease

2022 ◽  
Vol 12 (1) ◽  
pp. 92
Author(s):  
Yoo Jin Um ◽  
Yoosoo Chang ◽  
Hyun-Suk Jung ◽  
In Young Cho ◽  
Jun Ho Shin ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Alcoholic Fatty Liver ◽  
Increased Risk ◽  
Alcoholic Fatty Liver Disease ◽  
Good Sleep ◽  
Over Time

The impact of changes in sleep duration and sleep quality over time on the risk of non-alcoholic fatty liver disease (NAFLD) is not known. We investigated whether changes in sleep duration and in sleep quality between baseline and follow-up are associated with the risk of developing incident NAFLD. The cohort study included 86,530 Korean adults without NAFLD and with a low fibrosis score at baseline. The median follow-up was 3.6 years. Sleep duration and quality were assessed using the Pittsburgh Sleep Quality Index. Hepatic steatosis (HS) and liver fibrosis were assessed using ultrasonography and the fibrosis-4 index (FIB-4). Cox proportional hazard models were used to determine hazard ratios (HRs) and 95% confidence intervals (Cis). A total of 12,127 subjects with incident HS and 559 with incident HS plus intermediate/high FIB-4 was identified. Comparing the decrease in sleep duration of >1 h, with stable sleep duration, the multivariate-adjusted HR (95% CIs) for incident HS was 1.24 (1.15–1.35). The corresponding HRs for incident HS plus intermediate/high FIB-4 was 1.58 (1.10–2.29). Comparing persistently poor sleep quality with persistently good sleep quality, the multivariate-adjusted HR for incident HS was 1.13 (95% CI, 1.05–1.20). A decrease in sleep duration or poor sleep quality over time was associated with an increased risk of incident NAFLD, underscoring an important potential role for good sleep in preventing NAFLD risk.

scholarly journals A-147 Post-Concussive Symptoms in Adolescent Athletes with Premorbid Psychiatric History: A Matched Case–Control Study

2020 ◽  
Vol 35 (6) ◽  
pp. 941-941
Author(s):  
Presley C ◽  
Caze T ◽  
Tarkenton T ◽  
Stokes M ◽  
Miller S ◽  
...  
Keyword(s):  
Symptom Severity ◽  
Control Sample ◽  
Psychiatric History ◽  
Adolescent Athletes ◽  
Symptom Scale ◽  
North Texas ◽  
The North ◽  
Matched Case ◽  
Domain Scores

Abstract Objective To examine sport-related concussion (SRC) symptoms in adolescent athletes with premorbid psychiatric history (PPH+) compared to a matched control sample without such history (PPH-). It was hypothesized that adolescents with PPH+ would report higher symptom severity both initially and at 3-month follow-up. Method Participants aged 13–18 (M age = 14.9) who reported a psychiatric history (N = 29) presented to clinic within 7 days of sustaining a SRC. Subjects were matched to those without premorbid psychiatric history (N = 29) by age, sex, race, sport, and time to clinic ( 1 day). All participants (N = 58) completed the Post-Concussion Symptom Scale (PCSS) at initial visit and 3-month follow-up as part of the North Texas Concussion Registry (ConTex). Independent sample T tests compared PCSS total and cognitive/fatigue, vestibular, ocular, posttraumatic migraine, and anxiety/mood domain scores between groups across time points. Results Consistent with our hypothesis, the PPH+ group reported significantly higher PCSS total (M = 41.0/132 vs. M = 27.7/132; p = .02), posttraumatic migraine domain (M = 3.5/6 vs. M = 2.5/6; p = .03), and anxiety domain (M = 1.1/6 vs. M = 0.4/6; p = .002) severity at the initial evaluation. However, there were no significant differences in PCSS total (PPH+ M = 4.1/132 vs. PPH- M = 3.3/132) or domain scores at 3-month follow-up. Conclusion(s) After matching by age, sex, race, sport, and time to clinic, adolescents with self-endorsed PPH+ reported higher total symptom, posttraumatic migraine, and anxiety domain symptom severity immediately following SRC but not at 3-month follow-up. Findings suggest that adolescents with PPH+ may experience higher subjective levels of distress following SRC, although further research is needed to understand the role of recovery in this population.

Poor Sleep Quality in Crohn's Disease is Associated with Antibiotic Use and Gerd Symptom Severity

2017 ◽  
Vol 152 (5) ◽  
pp. S799 ◽  
Author(s):  
Mark A. Sofia ◽  
Anna M. Lipowska ◽  
Edgar Y. Perez ◽  
Nada Zmeter ◽  
Robert Kavitt ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Sleep Quality ◽  
Symptom Severity ◽  
Gerd Symptom ◽  
Antibiotic Use ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals Prevalence of poor psychiatric status and sleep quality among frontline healthcare workers during and after the COVID-19 outbreak: a longitudinal study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yifang Zhou ◽  
Hailong Ding ◽  
Yifan Zhang ◽  
Baoyan Zhang ◽  
Yingrui Guo ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Healthcare Workers ◽  
Multiple Logistic Regression Analysis ◽  
Liaoning Province ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psychiatric Status ◽  
Novel Coronavirus ◽  
Frontline Healthcare Workers

AbstractPoor psychiatric status and sleep quality were common among frontline healthcare workers (FHWs) during the outbreak of the 2019 novel coronavirus disease (COVID-19), but the change in these mental health outcomes overtime remained unknown. This study compared the psychiatric status and sleep quality of FHWs during and after the COVID-19 outbreak in China. FHWs who volunteered to work in Hubei province (the COVID-19 epicenter) were assessed at baseline during the COVID-19 outbreak and re-assessed when they returned to their place of origin (Liaoning province) after the COVID-19 outbreak. Participants’ psychiatric status and sleep quality were measured with the Symptom CheckList-90 (SCL-90) and the Pittsburgh Sleep Quality Index (PSQI), respectively. A total of 494 FHWs was assessed at baseline and 462 at follow-up assessments. The prevalence of poor psychiatric status was 10.5% at baseline and increased to 14.9% at the follow-up assessment (P = 0.04). The corresponding figures of poor sleep quality at baseline and follow-up assessment were 16.4% and 27.9%, respectively (P < 0.001). Multiple logistic regression analysis found that severe fatigue (p = 0.003, OR = 1.266, 95% CI = 1.081–1.483), poor sleep quality (p < 0.001, OR = 1.283, 95% CI = 1.171–1.405), and history of pre-existing psychiatric disorders (p < 0.001, OR = 5.085, 95% CI = 2.144–12.06) were independently associated with higher odds of poor psychiatric status among the FHWs. Poor psychiatric status and sleep quality were common among FHWs during the COVID-19 outbreak, and the prevalence increased following their volunteer experiences. This suggests a critical need for longer-term psychological support for this subpopulation.

scholarly journals Screening for Poor Self-Reported Sleep Quality at 12 Weeks in Post-Mild Traumatic Brain Injury Patients Using the HF–Age–Gender (HAG) Index

2021 ◽  
Vol 11 (11) ◽  
pp. 1369
Author(s):  
Hon-Ping Ma ◽  
Ju-Chi Ou ◽  
Kai-Yun Chen ◽  
Kuo-Hsing Liao ◽  
Shuo-Jhen Kang ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Sleep Quality ◽  
Mild Traumatic Brain Injury ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Non Invasive ◽  
Patient Will ◽  
Improve Sleep Quality

To identify a screening tool for poor self-reported sleep quality at 12 weeks according to non-invasive measurements and patients’ characteristics in the first week after mild traumatic brain injury (mTBI), data from 473 mTBI participants were collected and follow-ups were performed at 12 weeks. Patients with previous poor self-reported sleep quality prior to the injury were excluded. Patients were then divided into two groups at 12 weeks according to the Pittsburgh Sleep Quality Index based on whether or not they experienced poor sleep quality. The analysis was performed on personal profiles and heart rate variability (HRV) for 1 week. After analyzing the non-invasive measurements and characteristics of mTBI patients who did not complain of poor sleep quality, several factors were found to be relevant to the delayed onset of poor sleep quality, including age, gender, and HRV measurements. The HRV–age–gender (HAG) index was proposed and found to have 100% sensitivity (cut-off, 7; specificity, 0.537) to predicting whether the patient will experience poor sleep quality after mTBI at the 12-week follow-up. The HAG index helps us to identify patients with mTBI who have no sleep quality complaints but are prone to developing poor self-reported sleep quality. Additional interventions to improve sleep quality would be important for these particular patients in the future.

Self-Reported Perceptions of Sleep Quality and Resilience Among Dance Students

2018 ◽  
Vol 125 (2) ◽  
pp. 351-368 ◽  
Author(s):  
F. Arbinaga
Keyword(s):  
Sleep Quality ◽  
Odds Ratio ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Resilience Scale ◽  
Personal Resilience ◽  
Perceived Sleep Quality ◽  
Good Sleep

This study examined relationships between self-perceived sleep quality and resilience among 116 dance students (Mean age = 21.6 years; SD = 4.348). who self-reported sleep quality with the Pittsburgh Sleep Quality Index (PSQI) and personal resilience with the Resilience Scale (RS). Most participants (59.5%) reported poor sleep quality on the PSQI, with 62.9% of the women and 42.1% of the men ( p = .092) scoring higher than five points on this instrument. On the RS, a large majority of the participants (75%) obtained scores less than 147, indicating low resilience, with no significant gender differences observed. Those reporting poor sleep quality (PSQI scores > 5) obtained lower resilience scores (RS < 147) than those reporting good sleep quality (PSQI scores ≤ 5; p = .025), and participants with poorer sleep quality were at higher risk of low resilience (Odds Ratio = 3.273) relative to those with good sleep quality ( p = .006). Those with shorter duration sleep (claiming they slept <7 hours/night) were also at higher risk for low resilience (Odds Ratio = 3.266), relative to those with longer duration sleep (>7 hours/night). These findings can help students and dance professionals improve their performance and face pressures inherent in dance practice. Follow-up research should verify these findings in varied populations with objective sleep measures and observational data from multiple respondents.

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