Sleep Quality and Fatigue Are Associated with Pain Exacerbations of Hip Osteoarthritis: An Internet-based Case-crossover Study

2019 ◽  
Vol 46 (11) ◽  
pp. 1524-1530 ◽  
Author(s):  
Kai Fu ◽  
Joanna Makovey ◽  
Ben Metcalf ◽  
Kim L. Bennell ◽  
Yuqing Zhang ◽  
...  

Objective.To evaluate the association of sleep quality, sleep duration, and fatigue with hip pain exacerbations in persons with symptomatic hip osteoarthritis (OA).Methods.Participants (n = 252) were followed for 90 days and asked to complete online questionnaires at 10-day intervals (control periods). A hip pain exacerbation (case periods) was defined as an increase of 2 points in pain intensity compared with baseline on a numeric rating scale (0–10). Subjective sleep quality and sleep duration were assessed using the Pittsburgh Sleep Quality Index, and fatigue was measured by Multidimensional Assessment of Fatigue in both periods. Univariable and multivariable conditional logistic regressions were used to assess the association.Results.Of the 252 participants, 130 (52%) were included in the final analysis. Univariate association analysis showed that both poor sleep quality and greater fatigue were associated with increased odds of pain exacerbations (OR 1.72, 95% CI 1.04–2.86; OR 1.92, 95% CI 1.21–3.05, respectively). Short sleep duration was not associated with pain exacerbations. Poor sleep quality and greater fatigue remained associated with pain exacerbations after adjustment for physical activity and night pain levels in multivariable analysis. There was no significant interaction between sleep quality and fatigue (p = 0.21).Conclusion.Poor sleep quality and greater fatigue were related to pain exacerbation in persons with symptomatic hip OA. Sleep disorders and fatigue should be considered when dealing with pain exacerbations.

SLEEP ◽  
2020 ◽  
Author(s):  
Janna Mantua ◽  
Alexxa F Bessey ◽  
Carolyn A Mickelson ◽  
Jake J Choynowski ◽  
Jeremy J Noble ◽  
...  

Abstract Experimental sleep restriction and deprivation lead to risky decision-making. Further, in naturalistic settings, short sleep duration and poor sleep quality have been linked to real-world high-risk behaviors (HRB), such as reckless driving or substance use. Military populations, in general, tend to sleep less and have poorer sleep quality than nonmilitary populations due to a number of occupational, cultural, and psychosocial factors (e.g. continuous operations, stress, and trauma). Consequently, it is possible that insufficient sleep in this population is linked to HRB. To investigate this question, we combined data from four diverse United States Army samples and conducted a mega-analysis by aggregating raw, individual-level data (n = 2,296, age 24.7 ± 5.3). A negative binomial regression and a logistic regression were used to determine whether subjective sleep quality (Pittsburgh Sleep Quality Index [PSQI], Insomnia Severity Index [ISI], and duration [h]) predicted instances of military-specific HRB and the commission of any HRB (yes/no), respectively. Poor sleep quality slightly elevated the risk for committing HRBs (PSQI Exp(B): 1.12 and ISI Exp(B): 1.07), and longer duration reduced the risk for HRBs to a greater extent (Exp(B): 0.78), even when controlling for a number of relevant demographic factors. Longer sleep duration also predicted a decreased risk for commission of any HRB behaviors (Exp(B): 0.71). These findings demonstrate that sleep quality and duration (the latter factor, in particular) could be targets for reducing excessive HRB in military populations. These findings could therefore lead to unit-wide or military-wide policy changes regarding sleep and HRB.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lieve T. van Egmond ◽  
Olga E. Titova ◽  
Eva Lindberg ◽  
Tove Fall ◽  
Christian Benedict

AbstractPreliminary findings suggest that pets may impact the owner’s sleep. By using data from the Swedish CArdioPulmonary bIoimage Study (SCAPIS) cohort, we aimed to investigate the association of pet ownership with the following self-reported sleep outcomes in 3788 to 4574 participants: (i) achieving the recommended daily sleep duration for adults (i.e., at least 7 h per day); (ii) sleep quality as measured by the Pittsburgh Sleep Quality Index (a score of > 5 indicating poor sleep quality); and (iii) difficulty falling or staying asleep. Sleep metrics were not associated with pet ownership, dog ownership, and dog walking when controlling the logistic regression for possible confounders (e.g., shift work, lack of social interaction, and chronic stress). In contrast, cat ownership was associated with a higher odds ratio of failing to achieve the recommended duration of 7 h of sleep per day (adjusted odds ratio [95% CI]:1.18 [1.02, 1.37] versus non-cat owners). Our findings suggest that certain pet groups might have a more significant impact on the owner’s sleep than others. As the observed association between cat ownership and short sleep duration might be a chance finding, this observation should be seen as hypothesis-generating only.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Loretta Cain ◽  
LáShauntá Glover ◽  
Dayna Johnson ◽  
Mario Sims

Introduction: Research shows that compared to non-Hispanic whites, African Americans (AAs) have poorer sleep quality, lower mean sleep duration, and a higher prevalence of sleep-disordered breathing. AAs also report more frequent exposures to certain stressors over the life course, which may impact physiological processes that may impair sleep. Goal-striving-stress (GSS), the discrepancy between aspiration and achievement, weighted by the subjective probability of success, and the level of disappointment experienced if goals are not reached, may be an important stressor among AA’s that may influence sleep; however this has yet to be explored. The objective of this study was to assess the relationship between GSS and sleep duration and sleep quality in AAs. Hypothesis: We assessed the hypothesis that high (versus low) GSS would be associated with short or long sleep duration and poor sleep quality. Methods: We utilized data from the baseline exam of the Jackson Heart Study (JHS; n=5306), an AA sample of women and men, 35-84 years old. There were a total of 5082 participants in the sample; 63.34% female with a mean age of 55.30 (± 12.75) and mean sleep duration of 6.43 hours (±1.51). The sample was categorized into GSS tertiles: low (n=2121), moderate (n=1716), high (n=1296). Participants self-reported sleep duration (hours) and rated their sleep quality. Sleep duration was categorized as short ( < 6 hours), normal (7 or 8 hours) and long ( > 9 hours). Sleep quality was categorized as high (good/very good/excellent) and low (fair/poor). Logistic regression models were used to obtain odds ratios (OR, 95% confidence interval-CI) to assess the associations of GSS levels with sleep duration and sleep quality categories. Models were adjusted for sex, age, socioeconomic status, health behaviors, discrimination, and health outcomes. Results: Significant results showed that participants who reported high (versus low) GSS had a 29% increased odds [1.29 (1.10, 1.52)] of short (versus normal) sleep after full adjustment. Participants who reported high (versus low) GSS had a 42% increased odds [1.42 (1.20, 1.67)] of low (versus high) sleep quality after full adjustment. Conclusion In conclusion, the deficit between goal aspiration and achievement is associated with short sleep duration and poor sleep quality. Potential interventions should consider the extent to which GSS may contribute to the development of short sleep duration and poor sleep quality.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A70-A70
Author(s):  
C E Kline ◽  
M J Lambiase ◽  
M B Conroy ◽  
M M Brooks ◽  
A M Kriska ◽  
...  

Abstract Introduction Short sleep duration and poor sleep quality have each been associated with obesity and weight gain. However, less is known regarding how sleep may impact attempted weight loss. The purpose of this study was to investigate the associations between sleep duration and sleep quality, both independently and in combination, with weight loss in a 12-month behavioral weight loss intervention. Methods Young to middle-aged adults who were overweight or obese (N=296) completed a 12-month behavioral weight loss intervention, with weight assessed at baseline, 6 and 12 months. Sleep duration and quality were derived from the Pittsburgh Sleep Quality Index. Analyses examined the change in sleep over time and the association between baseline sleep and changes in sleep with 6- and 12-month weight loss following adjustment for relevant covariates including age, gender, race, education, baseline body mass index, and baseline risk for sleep apnea. Results Participants (with an average baseline weight of 97.0±1.0 kg) lost 6.6±1.1 kg (6.8%) and 6.7±1.2 kg (6.9%) at 6 and 12 months relative to baseline, respectively. Global sleep quality significantly improved over the 12-month intervention (P=.03), but average sleep duration and the prevalence of short sleep duration (&lt;6 h) or poor sleep quality did not change significantly (each P≥.45). Adults with short sleep duration at baseline lost 3.3±0.9% less weight than those with ≥6 h sleep duration (P&lt;.001). Adults with poor sleep quality at baseline lost 1.6±0.8% less weight than those with good sleep quality (P=.04). When considered together, adults with both short sleep duration and poor sleep quality lost at least 5.0% less weight compared with all other sleep duration/quality group combinations (P&lt;.001). Conclusion Our findings highlight the importance of both sleep duration and sleep quality as predictors of behavioral weight loss and suggest that screening for sleep disturbance may be useful to determine who may benefit from additional counseling and resources. Support R01HL077525, K23HL118318


Hypertension ◽  
2012 ◽  
Vol 60 (suppl_1) ◽  
Author(s):  
Rosa Maria Bruno ◽  
Laura Palagini ◽  
Alessia Di Giulio ◽  
Angelo Gemignani ◽  
Stefano Taddei ◽  
...  

Purpose: Insomnia and short sleep duration have been associated with increased incidence of hypertension. However, the relationship between sleep loss and resistant hypertension (RH), has not been ascertained yet. Methods: 270 patients at first access to our Hypertension Outpatient Unit were enrolled. RH was defined according as office BP values >140/90 mmHg with 3 or more antihypertensive drugs, or controlled BP with 4 or more drugs, including a diuretic. Pittsburgh Sleep Quality Index (PSQI), and Beck Depression Inventory (BDI) were assessed. Poor sleep quality was defined as PSQI>5, mild-to-severe depressive symptoms as BDI score >10. Patients with self-reported sleep apneas or snoring were excluded (n=21). Results: Complete data were available for 234 patients (males 51%, mean age 58±13 years, BMI 26±5 kg/mq, antihypertensive treatment 84%, previous CV events 12%, diabetes 8%, smoking 15%, hypercholesterolemia 60%). Mean sleep duration was 6.4±1.6 hours, with a 49% prevalence of short sleep duration (<6 hours) and similar in both sexes. Conversely, women had higher PSQI scores (5.2 vs 3.6, p=0.03) and prevalence of poor sleep quality (46% vs 30% in men, p=0.01). Women showed also higher BDI scores (4.5 vs 1.8, p=0.006) and prevalence of depressive symptoms than men (20% vs 7%, p=0.003). RH patients (15%) had higher PSQI (5.8 vs 4.1, p=0.03), a difference shown in women (6.8 vs 4.8, p=0.04) but not in men (4.7 vs 3.5, p=0.37). The association between BDI score and RH showed a similar behavior (overall 3.6 vs 2.8, p=0.02; women 5.1 vs 3.7, p=0.03; men: 2.0 vs 1.9, p=0.53). In a multiple logistic regression analysis (including age, sex, obesity, diabetes, previous CV events, sleep duration, use of hypnotic drugs) poor sleep quality was independently associated with RH (OR 2.2, CI95% 1.1-5.3). However this relationship lost significance when also depressive symptoms were included in the model (p=0.12). Conclusions: Short sleep duration is highly prevalent in hypertensive patients. This condition is accompanied by poor sleep quality and depressive symptoms in women. Poor sleep quality is associated with a 2-fold higher probability of having RH. This association could be mediated by the presence of depressive symptoms.


2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Tetsuji Azuma ◽  
Koichiro Irie ◽  
Kazutoshi Watanabe ◽  
Fumiko Deguchi ◽  
Takao Kojima ◽  
...  

An association between physical illness and sleep has been suggested. Disordered chewing might be a physical factor that is associated with sleep issues. This cross-sectional study aimed to determine whether chewing problems are associated with sleep in Japanese adults. Sleep and chewing issues were evaluated in 6,025 community residents using a self-reported questionnaire. The prevalence of poor sleep quality and sleeping for <6 h/day (short duration) were 15.6% and 29.4%, respectively. Multivariate logistic regression analyses showed that prevalence of poor sleep quality was significantly associated with self-reported medical history (odds ratio (OR), 1.30; p<0.001), self-reported symptoms (OR, 4.59; p<0.001), chewing problems (OR, 1.65; p<0.001), and poor glycemic control (OR, 1.43; p=0.035). The prevalence of short sleep duration was also significantly associated with female sex (OR, 1.23; p=0.001), self-reported symptoms (OR, 1.60; p<0.001), chewing problems (OR, 1.30; p=0.001), and being overweight (OR, 1.41; p<0.001). In conclusion, chewing problems were associated with poor sleep quality and short sleep duration among Japanese adults.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A270-A270
Author(s):  
Ari Shechter ◽  
Adam Rosenfeld ◽  
Bernard Chang ◽  
Allison Norful

Abstract Introduction Clinicians have faced unprecedented challenges in care delivery during the COVID-19 pandemic due to increases in patient volume/acuity, alongside fears of COVID-19 exposure. Increased burnout rates are associated with chronic health condition risk and adverse organizational outcomes. It remains unclear whether sleep is associated to burnout in clinicians treating COVID-19 patients. Methods A cross-sectional electronic survey was distributed via email across 3 hospital listserves from September to November, 2020. Clinicians delivering direct care to COVID-19 patients were eligible. Clinician burnout was measured using a single item from AHRQ’s Mini-Z survey. We assessed sleep using the Pittsburgh Sleep Quality Index (PSQI). Binary logistic regressions were used to determine the relationship between PSQI global score (global sleep quality) and burnout, controlling for age, race/ethnicity, gender, length of time employed, whether clinical role changed during COVID-19, and anxiety. In a separate model, we investigated the association between burnout and independent PSQI subcomponents: 1) sleep duration (“Hours of sleep per night”), and 2) subjective sleep quality (“How would you rate your sleep quality overall”) entered together, with the above covariates. Results The final sample included 315 clinicians, predominantly nurses (57% White, 15% Hispanic/Latino, 89% female). Burnout symptoms were reported by 61.6%, and poor global sleep quality (PSQI global score &gt;5) in 84.4% of participants. Poor global sleep quality (PSQI global score &gt;5 vs. ≤5) was significantly associated with the presence of burnout symptoms (OR: 2.52, 95% CI: 1.20–5.28, p=0.015). In the secondary model, self-reported sleep quality (rating of fairly or very bad vs. rating of fairly or very good) was significantly associated with burnout (OR: 4.13, 95% CI: 2.33–7.32, p&lt;0.05), whereas short sleep duration (&lt;6 h vs. ≥6 h) was not (OR: 0.726, 95% CI: 0.41–1.30, p=0.28). Conclusion Poor sleep quality is common and associated with increased burnout in clinicians delivering care to COVID-19 patients. Interestingly, sleep quality appears to be more strongly related to burnout than sleep duration. Increased evidence about the negative implications of poor sleep and burnout are emerging. Interdisciplinary efforts aimed at promoting effective sleep quality in clinicians during this pandemic may lead to improvements in long-term clinician physical and psychological health. Support (if any):


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e041995
Author(s):  
Yazan A Al-Ajlouni ◽  
Su Hyun Park ◽  
Jude Alawa ◽  
Ghaith Shamaileh ◽  
Aziz Bawab ◽  
...  

Background Jordan, a Middle Eastern country, declared a state of national emergency due to COVID-19 and a strict nationwide lockdown on 17 March 2020, banning all travel and movement around the country, potentially impacting mental health. This study sought to investigate the association between mental health (eg, anxiety and depressive symptoms) and sleep health among a sample of Jordanians living through a state of COVID-19-induced nationwide lockdown. Methods Using Facebook, participants (n=1240) in Jordan in March 2020 were recruited and direct to a web-based survey measuring anxiety (items from General Anxiety Disorder 7-item (GAD-7) scale instrument), depressive symptoms (items from Center for Epidemiologic Studies Depression Scale), sleep health (items from the Pittsburgh Sleep Quality Index) and sociodemographic. A modified Poisson regression model with robust error variance. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated to examine how anxiety and depressive symptoms may affect different dimensions of sleep health: (1) poor sleep quality, (2) short sleep duration, (3) encountering sleep problems. Results The majority of participants reported having experienced mild (33.8%), moderate (12.9%) or severe (6.3%) levels of anxiety during lockdown, and nearly half of respondents reported depressive symptoms during lockdown. Similarly, over 60% of participants reported having experienced at least one sleep problem in the last week, and nearly half reported having had short sleep duration. Importantly, anxiety was associated with poor sleep health outcomes. For example, corresponding to the dose–response relationship between anxiety and sleep health outcomes, those reporting severe anxiety were the most likely to experience poor sleep quality (aPR =8.95; 95% CI=6.12 to 13.08), short sleep duration (aPR =2.23; 95% CI=1.91 to 2.61) and at least one problem sleep problem (aPR=1.73; 95% CI=1.54 to 1.95). Moreover, depressive symptoms were also associated with poor sleep health outcomes. As compared with scoring in the first quartile, scoring fourth quartile was associated with poor sleep quality (aPR=11.82; 95% CI=6.64 to 21.04), short sleep duration (aPR=1.87; 95% CI=1.58 to 2.22), and experiencing at least one sleep problem (aPR=1.90; 95% CI=1.66 to 2.18). Conclusions Increased levels of anxiety and depressive symptoms can negatively influence sleep health among a sample of Jordanian adults living in a state of COVID-19-induced nationwide lockdown.


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