Association Between Subjective Sleep Quality and Depression on Immunocompetence in Low-Income Women at Risk for Cervical Cancer

1999 ◽  
Vol 61 (4) ◽  
pp. 496-507 ◽  
Author(s):  
Josee Savard ◽  
Suzanne M. Miller ◽  
Megan Mills ◽  
Ann O'Leary ◽  
Heather Harding ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
At Risk ◽  
Sleep Quality ◽  
Low Income ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Low Income Women

scholarly journals Greenspace redevelopment, pressure of displacement, and sleep quality among Black adults in Southwest Atlanta

2021 ◽  
Author(s):  
Patrice C. Williams ◽  
Robert Krafty ◽  
Terrence Alexander ◽  
Zipporah Davis ◽  
Akil-Vuai Gregory ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Environmental Stressors ◽  
Financial Strain ◽  
Linear Regression Models ◽  
Black Adults ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Social Environmental ◽  
Block Groups

Abstract Background Little is known on how greenspace redevelopment—creating or improving existing parks and trails—targeted for low-income and/or majority Black neighborhoods could amplify existing social environmental stressors, increase residents’ susceptibility to displacement, and impact their sleep quality. Objective To examine the relationship between social environmental stressors associated with displacement and sleep quality among Black adults. Methods Linear regression models were employed on survey data to investigate the association between social environmental stressors, independently and combined, on sleep quality among Black adults residing in block groups targeted for greenspace redevelopment (i.e., exposed) and matched with block groups that were not (i.e., unexposed). Results The independent associations between everyday discrimination, heightened vigilance, housing unaffordability, and subjective sleep quality were not modified by greenspace redevelopment, controlling for other factors. The association between financial strain and subjective sleep quality was different for exposed and unexposed participants with exposed participants having a poorer sleep quality. The combined model revealed that the association between financial strain and sleep quality persisted. However, for different financial strain categories exposed participants slept poorer and/or better than unexposed participants. Significance Our findings suggest a nuanced relationship between social environmental stressors, pressure of displacement related to greenspace redevelopment, and sleep quality among Black adults.

Low-income minority women at risk for cervical cancer: a process to improve adherence to follow-up recommendations

2001 ◽  
Vol 116 (6) ◽  
pp. 608-616 ◽  
Author(s):  
Virginia A Cardin ◽  
Richard M Grimes ◽  
Zhi Dong Jiang ◽  
Nancy Pomeroy ◽  
Luther Harrell ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
At Risk ◽  
Low Income ◽  
Minority Women

scholarly journals Physical Activity and Inhibitory Control: The Mediating Role of Sleep Quality and Sleep Efficiency

2021 ◽  
Vol 11 (5) ◽  
pp. 664
Author(s):  
Lin Li ◽  
Qian Yu ◽  
Wenrui Zhao ◽  
Fabian Herold ◽  
Boris Cheval ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Inhibitory Control ◽  
Sleep Efficiency ◽  
Equation Modeling ◽  
Control Performance ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Sleep Parameters ◽  
The Relationship

Objectives: the current study aimed to investigate the relationship between physical activity (PA) level and inhibitory control performance and then to determine whether this association was mediated by multiple sleep parameters (i.e., subjective sleep quality, sleep duration, sleep efficiency, and sleep disturbance). Methods: 180 healthy university students (age: 20.15 ± 1.92 years) from the East China Normal University were recruited for the present study. PA level, sleep parameters, and inhibitory control performance were assessed using the International Physical Activity Questionnaire (IPAQ), the Pittsburgh Sleep Quality Index Scale (PSQI), and a Stroop test, respectively. The data were analyzed using structural equation modeling. Results: A higher level of PA was linked to better cognitive performance. Furthermore, higher subjective sleep quality and sleep efficiency were associated with better inhibitory control performance. The mediation analysis revealed that subjective sleep quality and sleep efficiency mediated the relationship between PA level and inhibitory control performance. Conclusion: our results are in accordance with the literature and buttress the idea that a healthy lifestyle that involves a relatively high level of regular PA and adequate sleep patterns is beneficial for cognition (e.g., inhibitory control performance). Furthermore, our study adds to the literature that sleep quality and sleep efficiency mediates the relationship between PA and inhibitory control performance, expanding our knowledge in the field of exercise cognition.

Impact of Treatment for Nasal Cavity Disorders on Sleep Quality: Systematic Review and Meta-analysis

2021 ◽  
pp. 019459982110295
Author(s):  
Jacob Fried ◽  
Erick Yuen ◽  
Kathy Zhang ◽  
Andraia Li ◽  
Nicholas R. Rowan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Sleep Quality ◽  
Nasal Obstruction ◽  
Meta Analysis ◽  
Mean Difference ◽  
Cochrane Library ◽  
Life Questionnaire ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
The Impact

Objective To determine the impact of treatment for patients with nasal obstruction secondary to allergic rhinitis (AR) and nasal septal deviation (NSD) on sleep quality. Data Sources Primary studies were identified though PubMed, Scopus, Cochrane Library, and Web of Science. Review Methods A systematic review was performed by querying databases for articles published through August 2020. Studies were included that reported on objective sleep parameters (apnea-hypopnea index) and sinonasal and sleep-specific patient-reported outcome measures: Rhinoconjunctivitis Quality of Life Questionnaire, Nasal Obstruction Symptom Evaluation, Epworth Sleepiness Scale (EpSS), and Pittsburgh Sleep Quality Index (PSQI). Results The database search yielded 1414 unique articles, of which 28 AR and 7 NSD studies were utilized for meta-analysis. A total of 9037 patients (8515 with AR, 522 with NSD) were identified with a mean age of 35.0 years (35.3 for AR, 34.0 for NSD). Treatment for AR and NSD significantly improved subjective sleep quality. For AR, the EpSS mean difference was −1.5 (95% CI, –2.4 to –0.5; P = .002) and for the PSQI, –1.7 (95% CI, –2.1 to –1.2; P < .00001). For NSD, the EpSS mean difference was −3.2 (95% CI, –4.2 to –2.2; P < .00001) and for the PSQI, –3.4 (95% CI, –6.1 to –0.6; P = .02). Conclusion Subjective sleep quality significantly improved following treatment for AR and NSD. There were insufficient data to demonstrate that objective metrics of sleep quality similarly improved.

Subjective sleep quality and sleep architecture in aging

2019 ◽  
Vol 64 ◽  
pp. S231-S232
Author(s):  
D. Lorrain ◽  
D. Bélisle ◽  
I. Viens
Keyword(s):  
Sleep Quality ◽  
Sleep Architecture ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals 192 Self-reported sleep features in the Italian population across the first and second wave of the COVID-19 pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A77-A78
Author(s):  
Oreste De Rosa ◽  
Nicola Cellini ◽  
Francesca Conte ◽  
Serena Malloggi ◽  
Fiorenza Giganti ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Linear Mixed Model ◽  
Negative Impact ◽  
Italian Population ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Time Points ◽  
Time In Bed ◽  
Second Wave

Abstract Introduction Several studies have shown the negative impact of COVID-19-related confinement measures (spring 2020) on sleep features and quality. Here we aim to follow-up on these data by assessing self-reported sleep characteristics during the second wave of the pandemic (autumn 2020) in Italy, where the government responded with a second, partial, lockdown. Methods Using a longitudinal approach, 214 participants (Mage=36.78±14.2y; 159F) who had participated in a previous survey (April 2020 – Total Lockdown, TL) completed the same online survey from November 10th to December 1st (Partial Lockdown, PL). In each survey, participants had to respond to a set of questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), referring to their current situation and, retrospectively, to their situation before the lockdown, resulting in four time-points (pre-TL, TL, pre-PL, PL). Results Linear mixed-model analysis showed that bedtime was delayed from pre-TL (23:46) to TL (24:42) and then linearly advanced in pre-PL (24:02) and PL (23:56). The same pattern emerged for rise time (pre-TL: 07:48, TL: 9:05, pre-PL: 8:28, PL: 7:58) and time in bed, which increased from pre-TL (8h4min) to TL (8h24min) and then linearly decreased (pre-PL: 8h15m, PL: 8h2m). Subjective sleep quality decreased in the two lockdowns compared to the period with no restrictions. The proportion of poor sleepers (PSQI&gt;5) increased from 39.7% (pre-TL) to 48.6% in TL and again from 36.9% (pre-PL) to 47.7% in PL. Conclusion Sleep habits and quality showed different profiles across four time-points of the COVID-19 pandemic and related restrictive measures. Sleep timing alterations appeared during the first lockdown, recovered after the confinement period, and almost returned to baseline during the second lockdown (likely due to a normalization of working schedules). Instead, subjective sleep quality markedly worsened during both lockdowns relative to the preceding respective months. These data suggest that subjective sleep quality is particularly sensitive to changes in life habits and psychological factors, independently of sleep habits. Considering that the pandemic situation may continue for several months, there is a need for interventions targeting sleep quality. Support (if any) N/A

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