scholarly journals Sleep Characterization of Adolescent and Young Adult Patients with Sickle Cell Disease Using the Pittsburgh Sleep Quality Index

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1954-1954
Author(s):  
Gabrielle F Gloston ◽  
S. Justin Thomas ◽  
Sarah Maxwell ◽  
Jeffrey D. Lebensburger ◽  
Julie Kanter ◽  
...  
Keyword(s):  
Young Adults ◽  
Young Adult ◽  
Sleep Quality ◽  
Board Of Directors ◽  
Adolescents And Young Adults ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Advisory Committees ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Abstract Introduction: Poor sleep quality is common across the lifespan in patients with sickle cell disease (SCD) and has been associated with pain, mood disruption, and fatigue. The Pittsburgh Sleep Quality Index (PSQI) examines sleep quality in both pediatric and adult patients with chronic health conditions, including in adolescents and young adults (AYAs) with SCD. The AYA period is particularly salient for patients with SCD given the potential onset of chronic pain during this developmental period and increased risk for complications during transition. Previous studies have relied on the PSQI total score rather than examining specific domains of sleep quality. In addition, prior studies have mostly focused on either pediatric or adult patients rather than examining AYAs as a group. This study examined specific PSQI sleep domains to identify characteristics that may be impaired in AYAs with SCD. This approach may allow for a multidimensional understanding of sleep in AYAs with SCD and may identify specific targets for intervention. Methods : We performed a retrospective chart review of AYA patients with SCD who completed the PSQI as part of a clinical pilot program. Patients included all types of SCD between 13-25 years. We recorded the PSQI and demographic and medical characteristics (age, sex, SCD type, CBC, and SCD treatments). Descriptive data from PSQI subdomains (sleep duration, latency, efficiency, needing medication to sleep, subjective sleep quality, and mid-sleep time [mid-point between sleep onset and offset]) were examined for adolescents (ages 13 to 18) and young adults (ages 19 to 25) to identify sleep characteristics (table 1). A mean PSQI score > 5 is categorized as having poor sleep quality. Chi-square and Fisher's exact test were used to compare age differences in characteristics for adolescents versus young adults. Results : Eighty-nine AYAs with SCD (mean age: 18.9±3.5 years; 51 female, 38 male) completed the PSQI. Patients were evenly distributed across adolescent (n = 46) and young adult groups (n = 43). SCD genotypes included: HbSS (n = 58), HbSC (n = 15), HbSb + (n = 9), HbSb 0 (n = 3), HbSO-Arab (n = 2), and unknown (n = 2). Adolescents and young adults did not significantly differ for sex, SCD genotype, CBC, or current therapies (all p .3). Average total PSQI scores for adolescents and young adults were 6.26 and 9.02, respectively. Most adolescents (52%) and young adults (84%) reported poor sleep quality (total PSQI score > 5). Thirty nine percent of adolescents rated their sleep duration as less than 7 hours compared to over half of young adults (56%). Many adolescents (59%) and young adults (44%) endorsed a mild to moderate amount of sleep disturbance, with many young adults (47%) also reporting a high amount of sleep disturbance. A large percentage of young adults (68%) and some adolescents (37%) reported prolonged sleep latency and subsequent daytime dysfunction due to sleepiness [adolescents (63.0%) and young adults (77%)]. Sleep efficiency was inadequate in 59% of adolescent and 72% of young adults. More young adults (35%) than adolescents (7%) reported needing medication to sleep. Despite noted sleep deficiencies, subjective sleep quality was frequently rated as "very good" or "fairly good" by adolescents (91%) and young adults (72%). Midsleep time serves as a proxy for chronotype (morning or night person). Mean midsleep time was 4.75 and 4.95 in young adult and adolescent participants, indicating a late chronotype. Among sleep domains, sleep latency, subjective sleep quality, needing medication to sleep, and overall sleep quality were worse among young adults versus adolescents (p = .002 to .012). Conclusion : Adolescents and young adults with SCD had poor sleep quality across multiple PSQI domains. Young adults also reported poorer sleep quality in certain domains versus adolescents, suggesting that some sleep characteristics may worsen during transition. Results highlight the need to be vigilant for sleep problems and the need for sleep education for AYAs with SCD. Future studies focused on the efficacy of behavioral sleep medicine interventions that target sleep deficiencies in AYAs with SCD are also important. This study was limited by using a convenience sample rather than a random sample of patients from the clinic. This study is also cross-sectional and longitudinal efforts are needed to better understand the evolution of sleep difficulties during the AYA developmental period. Figure 1 Figure 1. Disclosures Lebensburger: Bio Products Laboratory: Consultancy; Novartis: Consultancy. Kanter: Fulcrum Therapeutics, Inc.: Consultancy; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Forma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees; Beam: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Graphite Bio: Consultancy; GuidePoint Global: Honoraria; Fulcrum Tx: Consultancy.

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Associations between sleep quality and its domains and insufficient physical activity in a large sample of Croatian young adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021902 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Sporiš ◽  
Tomislav Krističević ◽  
Damir Knjaz
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Smoking Status ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Insufficient Physical Activity

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.

scholarly journals Partners of patients with sleep apnoea/hypopnoea syndrome: effect of CPAP treatment on sleep quality and quality of life

Thorax ◽  
2001 ◽  
Vol 56 (7) ◽  
pp. 513-518
Author(s):  
N McArdle ◽  
R Kingshott ◽  
H M Engleman ◽  
T W Mackay ◽  
N J Douglas
Keyword(s):  
Health Status ◽  
Sleep Quality ◽  
Sleep Apnoea ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Cpap Treatment ◽  
Reported Health ◽  
Self Reported Health Status

BACKGROUNDThe sleep apnoea/hypopnoea syndrome (SAHS) causes snoring, apnoeas, and restlessness during sleep which partners frequently complain about. A study was undertaken to determine the impact on partners of SAHS and of treatment of the patient with continuous positive airway pressure (CPAP).METHODSForty nine partners and patients with SAHS booked for CPAP treatment completed in house and validated questionnaires (Pittsburgh sleep quality index, Short Form 36 self-reported health status) before the patient started treatment. Twenty three couples in whom the index SAHS patient had no driving problems were recruited to a randomised crossover trial with 1 month limbs of CPAP and placebo capsule. At the end of each limb the partners' sleep was monitored by home polysomnography (PSG) and questionnaires were completed.RESULTSBefore treatment partners frequently reported moderate to severe disturbance from patient snoring/apnoeas/restlessness and had poor sleep quality and self-reported health status. In the crossover study (22 completed) the partners' objective sleep quality did not differ between CPAP and placebo, but they reported benefit from treatment of the patients with CPAP in subjective sleep quality (p=0.05) and disturbance to sleep (p=0.03). The reported change in partners' sleep quality between pre-study and following CPAP treatment correlated positively with CPAP use (r=0.5, p=0.01).CONCLUSIONSPartners of patients with SAHS have poor sleep quality and self-reported health status but only subjective sleep quality benefits from treatment of the patient with CPAP.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

Sleep quality in caregivers of patients with Alzheimer's disease and Parkinson's disease and its relationship to quality of life

2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.

scholarly journals The Association between Cardiorespiratory Fitness and Reported Physical Activity with Sleep Quality in Apparently Healthy Adults: A Cross-Sectional Study

2021 ◽  
Vol 18 (8) ◽  
pp. 4263
Author(s):  
Ahmad M. Osailan ◽  
Ragab K. Elnaggar ◽  
Saud F. Alsubaie ◽  
Bader A. Alqahtani ◽  
Walid Kamal Abdelbasset
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Cardiorespiratory Fitness ◽  
Quality Index ◽  
Poor Sleep ◽  
Inverse Association ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Apparently Healthy

Background: Recently, poor cardiorespiratory fitness (CRF) has been postulated as an adverse health outcome related to poor sleep quality. However, studies investigating the relationship between CRF and a subjective sleep quality index are scarce. Thus, the current study aimed to investigate the association between CRF and the Pittsburgh Sleep Quality Index (PSQI) in apparently healthy people. The secondary aim was to investigate the association between reported physical activity (PA) and PSQI. Methods: Thirty-three healthy male participants volunteered to participate. CRF (VO2PEAK) was measured via cardiopulmonary exercise testing on a treadmill. A short form of the International Physical Activity Questionnaire (IPAQ) was used to measure PA, and PSQI was used for the sleep quality index. Results: There was no correlation between CRF and PSQI total score or any component of the PSQI. There was a significant inverse correlation between IPAQ and PSQI total score (r = −0.36, p = 0.04). Categorical data analysis of the two questionnaires revealed that 42.4% of the participants who reported low physical activity also had poor sleep quality. Conclusions: The current study showed no association between CRF and the subjective sleep quality index but demonstrated a moderate inverse association between reported PA and subjective sleep quality index. The findings suggest that the more reported PA, the better the overall sleep quality.

scholarly journals 1019 Subjective Sleep Quality and Sleep Recommendations Received by Patients with Cancer and Depression

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A387-A387
Author(s):  
S N Price ◽  
J I Trejo ◽  
L M Halaby ◽  
D Guzman ◽  
Y Liu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Physical Health ◽  
Poor Sleep ◽  
Cancer Type ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Patients With Cancer ◽  
Adult Cancer Survivors

Abstract Introduction Diagnoses of cancer and depression are independent predictors of poor sleep, but less is known about subjective sleep quality among patients with both of these potential risk factors or about recommendations made by physicians for improving sleep among this population. This study examines correlates of poor subjective sleep quality and sleep recommendations received by patients with cancer enrolled in the Collaborative Oncology Project to Enhance Depression Care (COPE-D), a collaborative care intervention to treat depression among patients with cancer. Methods Participants were 74 adult cancer survivors. Demographic and clinical characteristics, subjective sleep quality, and provider sleep recommendations were obtained by patient self-report prior to intervention. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), general health status was measured using the PROMIS Global-10, and depressive symptoms were measured using the PHQ-9. Results 81% of patients reported significantly poor sleep quality (PSQI global scores &gt;8) and 75.3% reported poor sleep efficiency (&lt;85%). The strongest correlates of poor sleep quality were worse global mental (r=-.431, p&lt;.01) and physical health (r=-.40, p=&lt;.01). 63% reported pain interference with sleep at least once per week. Cancer type and stage, current cancer treatment, and depressive symptoms were not significantly associated with poor sleep quality (p’s&gt;.05). 12% of those reporting sleep disturbances since their cancer diagnosis had not discussed these problems with a medical provider. Among those who talked to their provider, 41.8% reported receiving sleep hygiene recommendations, 40.5% anti-depressants, 14.9% sedative-hypnotic medication (e.g. zolpidem, benzodiazepines), 10.8% cognitive behavioral therapy, 9.6% antihistamines, 6.8% melatonin, and 4.1% were recommended meditation or hypnosis. Conclusion Cancer patients seeking treatment for depression report very high rates of poor subjective sleep quality, which was most strongly associated with global mental and physical health. Improved screening and patient-provider communication about sleep may be especially beneficial for this at-risk population. Support Merck Foundation Alliance to Advance Patient-Centered Cancer Care

scholarly journals Does bedtime music listening improve subjective sleep quality and next-morning well-being in young adults? A randomized cross-over trial

2021 ◽  
Author(s):  
Nadyanna M. Majeed ◽  
Verity Y. Q. Lua ◽  
Jun Sen Chong ◽  
Zoey Lew ◽  
Andree Hartanto
Keyword(s):  
Young Adults ◽  
Sleep Quality ◽  
Well Being ◽  
Poor Sleep ◽  
Pink Noise ◽  
Noise Condition ◽  
Subjective Sleep Quality ◽  
Practical Applications ◽  
Subjective Sleep ◽  
Sad Music

Previous research has found that young adults exhibit patterns of poor sleep, and that poor sleep is associated with a host of negative psychological consequences. One potential intervention to improve sleep quality is listening to music at bedtime. While there exist previous works investigating the efficacy of listening to music as a form of sleep aid, these works have been hindered by statistically weak designs, a lack of systematic investigation of critical characteristics of music which may affect its efficacy, and limited generalizability. In light of the limitations in the existing literature, a 15-day randomized cross-over trial was carried out with 62 young adults. Participants completed five nights of bedtime listening to each condition (happy music vs. sad music vs. pink noise, which acted as an active control condition) over three weeks. Upon awakening each morning, participants rated their subjective sleep quality, current stress, positive and negative affective states, and current life satisfaction. Frequentist and Bayesian multilevel modeling revealed that happy and sad music was both beneficial for subjective sleep quality and next-morning well-being, compared to the pink noise condition; potential nuances are discussed. The current study bears potential practical applications for healthcare professionals and lay individuals.

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