Prevalence Of Poor Sleep Research Articles

Healthier Dietary Patterns Are Associated with Better Sleep Quality among Shanghai Suburban Adults: A Cross-Sectional Study.

More is to be explored between dietary patterns and sleep quality in the Chinese adult population. A cross-sectional study including 7987 Shanghai suburban adults aged 20-74 years was conducted. Dietary information was obtained using a validated food frequency questionnaire. Adherence to a priori dietary patterns, such as the Chinese Healthy Eating Index (CHEI), Dietary Approaches to Stop Hypertension (DASH) diet and Mediterranean diet (MD), was assessed. Sleep quality was assessed from self-reported responses to the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Logistic regression models adjusting for confounders were employed to examine the associations. The overall prevalence of poor sleep (PSQI score ≥ 5) was 28.46%. Factor analysis demonstrated four a posteriori dietary patterns. Participants with a higher CHEI (ORQ4 vs. Q1: 0.81, 95% CI: 0.70-0.95), DASH (ORQ4 vs. Q1: 0.70, 95% CI: 0.60-0.82) or MD (ORQ4 vs. Q1: 0.75, 95% CI: 0.64-0.87) had a lower poor sleep prevalence, while participants with a higher "Beverages" score had a higher poor sleep prevalence (ORQ4 vs. Q1: 1.18, 95% CI: 1.02-1.27). In Shanghai suburban adults, healthier dietary patterns and lower consumption of beverages were associated with better sleep quality.

Trajectory of anxiety/depressive symptoms and sleep quality in individuals who had been hospitalized by COVID-19: The LONG-COVID-EXP multicenter study

ObjectiveTo apply Sankey plots and exponential bar plots for visualizing the evolution of anxiety/depressive symptoms and poor sleep in previously hospitalized COVID-19 survivors. MethodsA sample of 1266 subjects who were hospitalized due to a SARS-CoV-2 from March–May 2020 were assessed at 8.4 (T1), 13.2 (T2) and 18.3 (T3) months after hospitalization. The Hospital Anxiety and Depression Scale was used to determine anxiety (HADS-A) and depressive (HADS-D) symptoms. The Pittsburgh Sleep Quality Index (PSQI) evaluated sleep quality. Clinical features, onset symptoms and hospital data were collected from medical records. ResultsSankey plots revealed that the prevalence of anxiety symptomatology (HADS-A ≥ 8 points) was 22.5% (n = 285) at T1, 17.6% (n = 223) at T2, and 7.9% (n = 100) at T3, whereas the prevalence of depressive symptoms (HADS-D ≥ 8 points) was 14.6% (n = 185) at T1, 10.9% (n = 138) at T2, and 6.1% (n = 78) at T3. Finally, the prevalence of poor sleep (PSQI≥8 points) decreased from 32.8% (n = 415) at T1, to 28.8% (n = 365) at T2, and to 24.8% (n = 314) at T3. The recovery curves show a decrease trend visualizing that these symptoms recovered the following years after discharge. The regression models did not reveal medical records associated with anxiety/depressive symptoms or poor sleep. ConclusionThe use of Sankey plots shows a fluctuating evolution of anxiety/depressive symptoms and poor sleep during the first years after the infection. In addition, exponential bar plots revealed a decrease prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis.

This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep. The authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitatively. A total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24-0.36), and 0.27 (95% CI = 0.18-0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30-0.50), and score using SAS-SV was 31.11 (95%CI = 29.50-32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72-6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48-0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90-7.00) and 5.62h (95%CI = 4.87-6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear. The prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily.

WHAT IS THE EFFECTIVENESS OF EXERCISE INTERVENTIONS ON SLEEP QUALITY IN PATIENTS WITH ARTHRITIS PAIN - A SYSTEMATIC REVIEW AND META-ANALYSIS

Purpose: The prevalence of poor sleep in people with arthritis pain is high, with reported rates of up to 75%. While arthritis patients commonly describe that disturbed sleep is a major problem, it also is linked to other issues such as increased fatigue and heightened pain levels. Therefore, different interventions to specifically target sleeping difficulties in people with arthritis pain have been investigated. Unfortunately, sleep medication often has significant side effects and access to non-pharmacological interventions, such as to Cognitive behavioural therapy for insomnia, is frequently difficult.

The effects of a real-life lifestyle program on physical activity and objective and subjective sleep in adults aged 55+ years

Study objectivesAge related changes in sleep result in an increasing prevalence of poor sleep in mid-aged and older adults. Although physical activity has shown to benefit sleep in studies in controlled settings, this has not yet been examined in a real-life lifestyle program. The aims of this study were to: 1) examine the effects of a lifestyle program on moderate-to-vigorous physical activity and objective and subjective sleep in adults aged 55+ years; and 2) examine if the effects differed between good and poor sleepers.MethodsThis controlled pretest-posttest trial examined the effects of the 12-week group-based real-life lifestyle program ‘Lekker Actief’ on moderate-to-vigorous physical activity (measured using accelerometers) and sleep (measured using accelerometers and the Pittsburgh Sleep quality Index, PSQI). The main component of the program was a 12-week progressive walking program, complemented by an optional muscle strengthening program and one educational session on healthy nutrition. Of the 451 participants who were tested pre-intervention, 357 participants completed the posttest assessment (200 in the intervention group and 157 in the control group). Effects on moderate-to-vigorous physical activity and on objective sleep (sleep efficiency, total sleep time, wake time after sleep onset (WASO) and number of awakenings) as well as subjective sleep (sleep quality) were examined in crude and in adjusted multiple regression models. An interaction term between program (control versus intervention) and sleep category (good and poor) was included in all models.ResultsModerate-to-vigorous physical activity levels significantly increased in the intervention group compared with the control group (43,02 min per day; 95%CI: 12.83–73.22; fully adjusted model). The interaction terms revealed no differences between good and poor sleepers regarding the effect of the intervention on moderate-to-vigorous physical activity. There were no significant effects on sleep, except for good sleepers who showed an increase in number of awakenings/night by 1.44 (CI 95% 0.49; 2.24).ConclusionsAlthough this program was effective in increasing physical activity, it did not improve sleep. Lifestyle programs should be promoted to increase physical activity, but more is needed to improve sleep as well.This trial was registered at ClinicalTrials.gov (Trial registration NCT03576209).

Sleep Quality and Related Determinants among Stroke Patients: A Cross-Sectional Study.

Objective: Effective rehabilitation and better quality of life among stroke patients are functions of several factors such as quality and pattern of sleep. The present study aimed to evaluate sleep quality and related determinants in such patients. Method: The present cross-sectional study was performed from October to December 2019 among stroke patients who were admitted to Sina Hospital, Hamadan, Iran. We used the Pittsburgh Sleep Quality Index (PSQI) questionnaire to determine sleep quality in these patients. Significant determinants of the global score of PSQI were identified via multivariable linear regression. Results: A total of 97 stroke patients (age 67±79 years, 55.7% male) were enrolled into the study. Prevalence of poor sleep was 0.84 (95% CI: 0.75, 0.91) in stroke patients. Patients with nervous tension and those with surgical treatment and with Non-hemorrhagic CT scan had a predicted increase of 1.65, 2.91 and 3.25 in the mean of the global PSQI score (P ≤ 0.05), respectively. Conclusion: Nervous tension, treatment method, results of CT scan and cardiac problems may be associated with post-stroke sleep disorder.

Sleep Quality and its Lifestyle Associated Factors among Secondary School Students in an Egyptian City

The prevalence of poor sleep among participants was 72.5%. poor sleep quality was more prevalent among females, public school students, urban residents and male students who use illicit drugs. Significant Correlates of poor sleep quality by multivariate analysis were urban residence, using illicit drugs, using internet and mobile phones, irregular breakfast and dinner taking, regular eating carbohydrate and snacks, drinking caffeinated drinks and daytime napping.

Associations Between Chrononutrition With Sleep Quality and Melatonin Rhythm of Pregnant Women

Abstract Objectives Chrononutrition is referred to as a zeitgeber for its ability to synchronize the circadian rhythm. In addition to the role as circadian marker, sleep and melatonin are important factors for optimal maternal and infant outcomes. Understanding the chrononutrition factors associated with sleep quality and melatonin rhythm during pregnancy has practical importance for preventive care. Hence, this study aimed to examine the association between chrononutrition with sleep quality and melatonin rhythm during pregnancy. Methods A total of 114 primigravidas were recruited at randomly selected government maternal and child clinics in Kuala Lumpur, Malaysia. Gestational age and pre-pregnancy body mass index (BMI) were extracted from clinic records. Components of chrononutrition including meal timing, meal frequency, eating window, breakfast skipping, and night eating were assessed using 3-day food record. Sleep quality in the third trimester was determined using Pittsburgh Sleep Quality Index (PSQI). Subsample (n = 48) provided salivary samples at 4 time-points (9:00, 15:00, 21:00 and 3:00 h) over 24 hours for melatonin assay. Results The mean gestational age of participants was 33.0 (2.1) weeks; 13% were underweight and 22% were overweight/obese before pregnancy. Average daily meal frequency was 4.1 (0.9). The majority (68%) practiced a shorter eating window (≤12 hours); 25% skipped breakfast and 19% ate within 2 hours pre-bedtime. The prevalence of poor sleep among the participants was 56%. Mean salivary melatonin level was 19.6 (16.3) pmol/L. In the adjusted linear regression model, lower meal frequency and fat intake during dinner were significant predictors of poor sleep quality (β = −0.266, P = 0.035 and β = −0.232, P = 0.026, respectively). Eating nearer to bedtime was significantly associated with greater deviation of melatonin acrophase from mid-sleep clock time (β = −0.339, P = 0.043). Conclusions Findings suggested that unfavorable characteristics of chrononutrition may contribute to poor sleep and misalignment of melatonin phase. Components of chrononutrition may be incorporated into meal intervention to improve maternal sleep quality and circadian health. Funding Sources Research relating to this abstract was funded by the Ministry of Education Malaysia Fundamental Research Grant.

The impact of nocturnal road traffic noise, bedroom window orientation, and work-related stress on subjective sleep quality: results of a cross-sectional study among working women

ObjectiveTo examine the effect of work-related stress and road noise exposure on self-rated sleep and potential additive interaction effects.MethodsSleep and predictor variables were surveyed within two subsamples with 2191 and 1764 working women in a cross-sectional study. Sleep was assessed using a single question on general sleep quality and four questions on specific sleep problems and subsequently dichotomized (poor sleep vs. no poor sleep). Work-related stress was operationalized by job strain and effort-reward imbalance. Nocturnal exposure to road traffic noise was assessed as (a) the orientation of the bedroom window to a quiet façade vs. a low-, medium- or high-trafficked street and (b) energy-equivalent sound pressure levels for night-time modelled at the most exposed façade (Lnight). We distinguished between low (< 45 dB(A)), medium (45–50 dB(A)) and high exposure (> 50 dB(A)).ResultsPoor sleep was associated with job strain and effort-reward imbalance. The prevalence of poor sleep did not increase with increasing Lnight, but bedroom window orientation showed a non-significant trend. A quiet façade had a protective effect on sleep in each Lnight category. We found a non-significant trend for an additive interaction between bedroom window orientation and job strain.ConclusionNoise levels modelled for the most exposed façade likely overestimate the actual exposure and thus may not be a precise predictor of poor sleep. Bedroom window orientation seems more relevant. Potential additive interaction effects between bedroom window orientation and job strain should be considered when interpreting epidemiological study results on noise-induced sleep disturbances.

Prevalence of Depression and Sleep Disorders in Patients on Dialysis: A Cross-Sectional Study in Qatar.

Patients with end-stage renal disease treated with dialysis have poor quality of life (QOL). Improving QOL in these patients with multiple comorbidities is a large challenge. We performed a cross-sectional study to evaluate the prevalence and associated factors of depression and sleep disorders in this population. Our primary aim was to evaluate QOL measures in dialysis patients in Qatar through a series of validated questionnaires mainly concerning depression and sleep disorders. Our secondary aim was to study the associations of age, sex, and comorbid conditions with the QOL measures. We hypothesized that end-stage renal disease (ESRD) patients on dialysis would have disturbed QOL due to both ESRD and dialysis and comorbidities. This prospective cross-sectional study included adult ESRD patients receiving either hemodialysis (HD) or peritoneal dialysis (PD) in the main tertiary dialysis unit in Qatar. We administered two surveys to evaluate depression (the Center for Epidemiologic Studies Depression Scale, http://www.bmedreport.com/archives/7139) and sleep disorders (the Pittsburgh Sleep Quality Index, https://www.sleep.pitt.edu/instruments/). We also reviewed patient demographics, comorbidities, and laboratory test results to evaluate any associated factors. We randomly studied 253 patients (62% on HD and 38% on PD). Overall, 48% of patients had depression, while 83.8% had sleep disorders. The PD had more poor sleepers than the HD group (89.1% versus (vs.) 75%, p=0.003). Most of our dialysis patients had poor sleep, but it was more significant in the elderly group 109 (90%) than in the young group 103 (78%) (p=0.009). Patients with diabetes mellitus (DM) had significantly more prevalence of poor sleep (131 (88.5%)) than those without DM (81 (77.1%), p=0.01). More female patients had depression than male patients (52% vs. 25%, p < 0.0001; odds ratio: 3.27 (95% confidence interval: 1.9–5.6), p < 0.0001). This is the first study in Qatar to evaluate depression and sleep disorders in patients on dialysis therapy.

Prevalence of Poor Sleep and Relationship of Physical Exercise with Sleep among Male Adult Exercisers

Physical exercise has been suggested to show beneficial effects for various diseases and also for sleep. This study aims to assess the prevalence of sleep problems, and the relationship of physical exercise with sleep health among adult male exercisers. A total of 199 randomly selected athletes (all males) took part in this study. All participants responded to a questionnaire consisted of items related to demographic information that also included sports participation level, and playing experience. Self-reported sleep quality and physical exercise were using PQSI and three items concerning exercise frequency, intensity, and duration. The analysis revealed following main findings: 1) a significant negative correlation between physical exercise and sleep medication, 2) a significantly negative relationship between sports/ exercise participation level and sleep disturbance, 3) an 3.7 average global score of PSQI in total sample, 4) Exercise frequency was negatively correlated with daytime dysfunction whereas exercise intensity was negatively correlated with sleep disturbance and sleep efficiency but positively correlated with daytime dysfunction, 5) and prevalence of poor sleep in 22 % participants. There is some possibility to suggest that exercise may improve sleep health among adult male exercisers. The increased exercise frequency more positive impact to improve sleep but the relationship between exercise intensity and sleep remains inconclusive. existence of sleep problems in athletic population essentially require further attention for reducing the prevalence of poor sleep using other approaches along with continue doing exercise for good sleep.

Comparing the Prevalence of Poor Sleep and Stress Metrics in Basic versus Advanced Life Support Emergency Medical Services Personnel

Background: Emergency medical services (EMS) personnel frequently encounter occupational factors that increase the risk of poor sleep and stress. The national prevalence of poor sleep and stress in EMS personnel is unclear, especially differences between personnel at the basic (BLS) versus advanced (ALS) life support levels. The objectives of this study were to: (1) estimate the prevalence of sleep and stress metrics in EMS personnel; and (2) compare these metrics between BLS and ALS-certified personnel. Methods: This study was a survey of recertifying nationally-certified EMS personnel working in civilian settings. Respondents completed an electronic questionnaire assessing their sleep quality; workday, non-workday, and average sleep duration; sleep debt; perceived stress; and chronic stress. Survey-weighted Poisson regression models were used to estimate adjusted prevalence ratios (PR) comparing BLS (emergency medical technician) to ALS (advanced emergency medical technician and paramedic) for each metric. Models were adjusted for age, sex, minority status, education level, EMS agency type, service type, EMS role, and significant interactions. Results: A total of 17,913 (response rate = 19%) responses were received with 17,522 included in the analysis. Adjusted PRs were significantly higher for ALS-certified personnel compared to BLS-certified for poor sleep quality (PR: 1.23, 95% CI: 1.20–1.27) and short (<7 hours) or long (≥9 hours) workday sleep duration (PR: 1.17, 95% CI: 1.15–1.19). Significant interactions were found between certification level and sex (average sleep duration) or age category (sleep debt, perceived stress, and chronic stress). The highest prevalence of short or long average sleep duration was among ALS men. Sleep debt, perceived stress, and chronic stress differed by age group between certification levels with higher PRs for ALS regardless of age group. Conclusions: There is a high prevalence of poor sleep and stress in EMS personnel, with evidence of the highest prevalence among ALS-certified personnel. Evidence of effect modification by age category and among BLS and ALS personnel suggests that interventions could target certain subgroups, such as older ALS personnel, to be most effective. Continued focus on sleep health and stress reduction is needed to improve the health and well-being of the EMS workforce.

Sleep quality of Shanghai residents: population-based cross-sectional study.

To estimate the prevalence of poor sleep and its risk factors for adults living in a suburban area of Shanghai with rapid urbanization. A total of 37,545 residents who were aged 20 to 74years and from the "Peak Program," a community-based natural population cohort study, were included. Data on demographics, lifestyle, and physical health-related factors were collected using a face-to-face questionnaire interview. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep was defined as a PSQI score above 7. The overall mean of PSQI score was 3.69 ± 2.57 while the prevalence of poor sleep was 8.3%. The prevalence of poor sleep quality was higher in participants who were older than 40years, had less education, smoked tobacco, had anxiety, and had a chronic disease (p < 0.05 for all comparisons). After adjustment for confounding, a logistic regression model indicated that poor sleep was associated with advanced age, smoking, anxiety, cardiovascular and cerebrovascular diseases, respiratory diseases, and other chronic diseases (p < 0.05 for all comparisons). In addition, compared to women who were premenopausal, the naturally postmenopausal women (OR 1.675, 95% CI 1.44-1.94) and induced menopausal women (OR 2.26, 95% CI 1.81-2.82) were more likely to report poor sleep. The prevalence of poor sleep among individuals who lived in the Songjiang District of Shanghai and were aged 20 to 74years was remarkably lower than in the general population of China. Poor sleep was generally more common in middle-aged and elderly residents and in those suffering from anxiety and chronic diseases. Regular exercise, anxiety relieving, and treatment improvement of different chronic diseases may help sleep better.

Prevalence, correlates, and impact of sleep disturbance in Chinese patients with primary Sjögren’s syndrome

Sleep disturbances are common in primary Sjögren's syndrome (pSS) patients and may lead to disease aggravation and decreased health-related quality of life (HRQoL). There are currently no known reported studies related to the prevalence, correlates, and impact of sleep disturbance in pSS patients from China. Therefore, this study aims to assess the sleep quality in Chinese pSS patients and evaluate its relationship with the disease activity, quality of life and mood disorders. A self-report survey was administered to 221 pSS patients and 198 healthy individuals using the Pittsburgh Sleep Quality Index (PSQI) for sleep quality. Disease activity and damage were evaluated with the European League Against Rheumatism Sjögren's syndrome disease activity index (ESSDAI). Independent samples t tests, Chi-square analysis, logistic regression were used to analyze these data. Our results found that the prevalence of poor sleep (PSQI≥6) was 57.5% and the mean global score of PSQI was 6.57 (SD 3.19) in patients, which were significantly higher than the controls (32.3% and 4.93 [SD 2.86], respectively). When trying to fall asleep, patients with pSS had some sleep disturbances, reduced sleep efficiency, increased number of awakenings than controls. There were significant correlations among dryness, ocular surface disease, HRQoL, pain, disease activity, anxiety/depression and sleep quality in pSS patients. Meanwhile, logistic regression models identified depression and Short Form-36 mental composite score as predictors of poor sleep quality. Sleep disturbances are commonly reported in pSS patients and sleep quality is lower in pSS patients than in healthy controls. The data suggested the need for holistic assessment and management of pSS patients.

Factors affecting sleep among Thai people with dementia attending an outpatient psychiatric department.

Sleep quality is a well-studied aspect of overall health, especially for those who have other compounded health issues like dementia. This study identified what factors affected sleep quality among Thai people with dementia who attended an outpatient psychiatric department. While we considered factors associated with poor sleep quality, we discussed the impact that family relationship specifically has on sleep quality for this population. A cross-sectional study was conducted among 80 patient-caregiver dyads. All patients were assessed by the TMSE, a neuropsychiatric assessment (Thai Mental State Examination). The PSQI (Pittsburgh Sleep Quality Index) was administered and multiple factors affecting sleep were investigated through face-to-face interviews with each patient and caregiver dyad. Interviews were conducted by a psychiatric nurse at a hospital offering outpatient psychiatric care. A chi-square test, t test, Spearman correlation, Pearson's correlation, and logistic regression were applied to identify statistically significant associations. Overall, we found that the prevalence of poor sleep in our target population was 70%, with a high sleep score (8.14 ± 4.20). Factors affecting sleep included mental health problems, night-time cough and urinary frequency, pain and fever during the night, sleep environment problems, and stimulant use (63.8%, 57.5%, 47.5%, 20%, and 7.5%, respectively). Other factors previously associated with poor sleep quality in other studies were not associated in this study. Those with perceived poor family relationships are at a 5.57 times greater risk for poor sleep than those with perceived good family relationships. On the contrary, those without mental health problems significantly decreased their overall risk for poor sleep. Further investigation into these associations should be studied. In conclusion, health-care providers are encouraged to consider the impact of family context on sleep quality for people with dementia.

Relations Among Poor Sleep, Anxiety and Depression Among the Students of Health Sciences

AbstractThe research in the area of health sciences students’ sleep quality and mood disorders is lacking in Lithuania, as well as other European countries. The aim of this study was to compare prevalence of poor sleep, anxiety and depression among the students according to the study programmes and to assess the relations among poor sleep, depression and anxiety. The study sample consisted of 672 Klaipeda State University of Applied Sciences students (95.5% were female), from 18 to 46 years of age. Sleep quality was evaluated by Pittsburgh Sleep Quality Index, anxiety by Hospital Anxiety and Depression Scale, sociodemographic questions were used. The chi-square test or Fisher exact test was used to estimate association between categorical variables. P-values less than 0.05 were interpreted as statistically significant. Poor sleep was more prevalent among Beauty Therapy (26.4%, 95% CI 22.2-30.56) and Nursing (21.3%, 95% CI 17.42 – 25.17) students, as compared with persons studying in Oral Health programmes (14.8%, 95% CI 11.46 – 18.17), p&lt;0.05. Depression mean score was higher in Beauty Therapy students (4.76), as compared to Oral Health (3.69) students, p&lt;0.05. Beauty Therapy (9.99) or Physiotherapy students (8.24) had higher anxiety mean score, as compared to Oral Health students (7.14), p&lt;0.05. Anxiety mean score was significantly higher (8.45) among the ones with disturbed sleep, as compared to normally sleeping students (5.86), p&lt;0.001. Depression mean score (4.77) was higher among the students having disturbed sleep, as compared to the students which sleep was not disturbed (2.87), p&lt;0.001. Poor sleep and anxiety were more prevalent among the students aged 20 years and older as compared to the students, aged 18 and 19 years. Second and third year students more often had poor sleep or anxiety as compared to the first-year students. Poor sleep and anxiety were more common among Beauty Therapy and Physiotherapy students than among Oral Health Students. Among the students who slept poorly, symptoms of anxiety and depression were statistically significantly more frequent than those students whose sleep was not disturbed. Depression and anxiety mean scores were statistically significantly higher among the students who had poor sleep, as compared to the ones who had normal sleep, in all age and year of studying groups.

Functional Gastrointestinal Disorders Common Among Nurses With Poor Sleep Quality in Shanghai, China: A Pilot Study.

This study aimed to determine whether functional gastrointestinal disorders are more common among nurses with self-reported poor sleep. In total, 468 nurses working the day shift or rotating shifts completed two questionnaires: the questionnaire for irritable bowel syndrome (IBS) using Rome III criteria and the Pittsburgh Sleep Quality Index (PSQI). The prevalence of poor sleep was 41.04% (95% confidence interval, CI: [36.23, 45.85]), and poor sleep was significantly more common among rotating-shift nurses than among day-shift nurses (50.70% vs. 29.95%; p < .05). Among nurses with poor sleep, the prevalence of IBS and functional constipation was 35.15% (95% CI: [27.86, 42.44]) and 11.52% (95% CI: [6.65, 16.39]), respectively. After adjusting for age, work schedule, night pain, and psychological factors, IBS (odds ratio, OR: 1.88; 95% CI: [1.03, 2.49]) and functional constipation (OR: 1.77; 95% CI: [0.64, 2.57]) were significantly more common in nurses with poor sleep. We conclude that IBS and functional constipation are prevalent in nurses with poor sleep. Poor sleep was independently associated with IBS and functional constipation among nurses in Shanghai, China.

Effects of daily maladaptive coping on nightly sleep in mothers

Objective: We examined effects of daily rumination and suppression in response to stressors on objective and subjective sleep among mothers.Design: Participants were 183 mothers, including chronically stressed mothers of children with an autism spectrum disorder (M-ASD; n = 92) and age-matched mothers of neurotypical children (M-NT; n = 91). In an intensive longitudinal design, participants provided reports of daily rumination and suppression, nightly objective actigraphy-defined sleep and nightly subjective sleep quality for seven consecutive days at baseline, 9 months and 18 months.Main Outcome Measures: Total sleep time, sleep fragmentation, sleep onset latency, and subjective sleep quality.Results: Among M-NT with above average depressive symptoms, higher daily rumination was associated with shorter total sleep time. Rumination was associated with more sleep fragmentation among M-NT at the trend level. Rumination was not associated with sleep onset latency among M-NT, or with any sleep outcomes among M-ASD. Suppression was not associated with any sleep outcomes.Conclusion: We provide novel evidence of the effect of rumination on objectively measured sleep duration among M-NT. Coping was not related to sleep among M-ASD. Given the prevalence of poor sleep among mothers, future work should examine modifiable factors perpetuating sleep disturbance.

Sleep Health is Our Priority

Recently, a study conducted by Shockey et al. [1] provided information about sleep quality in the United States. From the findings, it was concluded that sleep quality varies by occupation and location of state, in general. In terms of occupations, Healthcare Practitioners ranked the as the most group commonly experiencing poor sleep. The major occupation group with high prevalence of poor sleep was the firefighters and prevention workers. A second major general point of the Shockey et al. [1] was the locations in the United States where sleep quality was poorest in southeastern United States and in states along the Appalachian Mountains. These regions have been identified as areas with higher estimates of obesity, diabetes, and death rates from heart disease and stroke [1]. Collectively, these findings, I believe, will provide both practitioners and researchers with a myriad of paths with which to investigate and intervene.

Poor Sleep, Anxiety And Depression Among The Maritime And Health Sciences Higher School Students

Aim of the study was to evaluate the associations among poor sleep, anxiety and depression in relation to age and year of studying among the students. Methods. The study sample consisted of 400 Klaipeda State University of Applied Sciences students (96.8% female) and 393 The Lithuanian Maritime Academy students (78.9% male), from 18 to 46 years of age. Pittsburgh Sleep Quality Index (PSQI) was used for subjective sleep quality evaluation. Hospital Anxiety and Depression (HAD) scale was used to identify depression and anxiety. PSQI score ≤ 5 was evaluated as good sleep quality; &gt; 5 – poor sleep. HAD score from 0 to 7 was evaluated as no depression or anxiety, score &gt;7 indicated depression and/or anxiety. Additional questions about respondents’ age, gender, study programme and year of the studying were used. The Chi-square test or Fisher exact tests were used to estimate association between categorical variables. Student’s t test was used to compare means and z criteria was used to test the difference in two population proportions. Binary logistic regression analysis was performed to evaluate the factors influencing poor sleep. Results. Health sciences students, as compared to maritime students, had higher prevalence of poor sleep (69.8% vs 45.0%) and anxiety (55.5% vs 41.7%). Depression score was higher among the students with poor sleep, as compared to good sleep, respectively 4.38 vs 3.20 (20 yrs), 5.16 vs 3.29 (21 yrs), 5.38 vs 3.22 (≥ 22 yrs). Anxiety score was higher among the students with poor sleep, as compared to good sleep, respectively 7.89 vs 6.11 (18-19 yrs), 8.73 vs 6.12 (20 yrs), 10.40 vs 6.51 (21 yrs), 10.58 vs 6.40 (≥ 22 yrs). The risk of poor sleep was significantly decreased by the studying marine sciences (OR=0.365) and increased by anxiety (OR=1.172), p&lt;0.001. Conclusions. Poor sleep and anxiety were more prevalent among the students of Health Sciences, as compared to students of Lithuanian Maritime Academy. Anxiety and depression mean scores were significantly higher among the students who had poor sleep, as compared to the ones who had good sleep in all age groups, during the first, second and third year of studies. Risk of poor sleep was increased by anxiety, however maritime studies had positive effect on sleep quality.