Self-perceived quality of sleep among COPD patients in Greece: the SLEPICO study

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide accompanied by a substantial social and economic burden for the patient and the society. Poor sleep quality among COPD patients is frequently unnoticed and unaddressed by physicians and patients themselves, although it is a major source of further deterioration of these patients’ quality of life. The aim of the present study was to record the quality of sleep in COPD patients among the Greek population and correlate these findings with various features of these patients, using the COPD and Asthma Sleep Impact Scale (CASIS). This was a cross-sectional observational study. Forty different variables (demographics, vital sign measurements, COPD-related medical history parameters, comorbidities, CASIS questionnaire results, COPD assessment test, COPD severity based on spirometry measurements, COPD stage based on the ABCD assessment approach, inhaled COPD treatment report) were collected from 3454 nation-wide COPD patients (Greece). The study sample consisted of COPD patients, mainly male (73%) with a median age of 69 years and a median BMI of 27.2. More than half of COPD patients (60.6%) suffered from moderate disease severity and 23.8% from severe disease, while less than half (42.1%) suffered from at least one exacerbation of the disease over the last year prior study enrollment. About 14% reported frequent to very frequent issues affecting their sleep quality, between a fourth and a third of them reported occasional night sleep disturbances, and at least half of them reported no or very infrequent problems in their night sleep. Our study indicates that the COPD assessment test (CAT) and the spirometry-based disease severity can predict the poorness in the quality of sleep (F2,3451 = 1397.5, p < 0.001, adj. R2 = 0.45) as assessed by CASIS score, and that the latter also correlates with age (ρ = 0.122, p < 0.001) and disease duration (ρ = 0.104, p < 0.001). On the contrary, there appears to be no correlation between sleep quality and number of exacerbations. Finally, untreated patients with COPD suffer from poorer quality of sleep compared to treated subjects, independently of the use of inhaled corticosteroids (F2,3451 = 21.65, p < 0.001). The results of the SLEPICO study show that increased age, prolonged disease duration, and especially CAT score ≥ 10, and severe COPD stage, might act as important indicators for deterioration in the quality of sleep, with potential consequences in the daily routine of those patients, thus urging potentially for further pharmacological interventions or modifications.

Influence of Sleep Characteristic Changes on Nurses’ Quality of Life during Their Transition to Practice: A Prospective Cohort Study

Aim: To explore the effect of changes in sleep characteristics on changes in quality of life during the transition period of new graduate nurses. Background: Sleep problems among nurses are associated with negative physical and psychological consequences. Methods: This prospective cohort study was conducted at a tertiary hospital in South Korea. Participants included 88 newly graduated nurses. Data were collected twice, prior to shift work and after 4 months of working as a nurse, via online structured self-report questionnaires created using Survey Monkey from March 2018 to February 2020. A generalized linear mixed model was used to analyze the influence of changes in sleep characteristics on quality of life. Results: A generalized linear mixed model showed that changes in the subjective quality of sleep, subjective health perception, and daytime dysfunction influenced quality of life changes during the transition. This implies that deterioration already existed. From their undergraduate period to four months after they began working as nurses, a significant decrease was observed in the quality of sleep. Participants’ quality of life significantly decreased. Conclusions: Changes in the quality of life of new graduate nurses may show deterioration with a significant drop in subjective sleep quality. Institutions should improve existing work adaptation programs provided during new graduate nurses’ transition to practice by including information on changes in nurses’ health caused by changes in sleep characteristics and sleep quality.

ASSESSMENT OF SLEEP QUALITY IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A PROSPECTIVE OBSERVATIONAL STUDY FROM A TERTIARY CARE CENTRE

Objective: To evaluate the quality of sleep-in patients diagnosed with Type 2 Diabetes Mellitus (T2DM). Study Design: Prospective observational study. Place and Duration of Duration: Psychiatry Department and Medicine Ward of Jinnah Postgraduate Medical Centre, Karachi Pakistan, from Apr to Nov 2018. Methodology: All patients with Type 2 Diabetes Mellitus were included in the study. All cases under age 30, type I diabetes, gestational diabetes and patients with severe illness were excluded. The data of sociodemographic lifestyle factors was collected through a pre-designed semi-structured questionnaire and sleep quality of patients was assessed using Pittsburg Sleep Quality Index (PSQI). The results of the data were analyzed by using SPSS version 24. Results: Out of 260 patients with Type 2 Diabetes Mellitus, 197 (76%) were female. The mean age of the sample was 55.7 ± 9.89 years, with only 54 (20.8%) having normal body mass index. More than 50% of sample was poor sleepers and educational status was found to be strongly associated with quality of sleep (p-value <0.05). Conclusion: The present study indicates that patients with Diabetes Mellitus often experienced sleep irregularities hence poor sleep quality. There is a need to increase the awareness regarding sleep quality among patients and health professionals as well while assessing the patients with Diabetes Mellitus.

The Effects of Concussion on Quantity and Quality of Sleep in Football Athletes

ObjectiveThe objective was to observe the quantity and quality of sleep of collegiate athletes following a concussion.BackgroundPatients diagnosed with a concussion report a disruption or change in their sleep with 46% of patients still having sleep disturbances 3 months after the event. Research is lacking on the sleep disruption or sleep changes in athletes who have experienced a concussion.Design/MethodsThis IRB-approved convenient cohort study involved athletes from 2 local universities. 27 (20 non-concussed and 7 concussed) male collegiate football players (19.93 ± 1.14 years old, 1.82 ± 0.08 m, and 96.42 ± 21.26 kg) wore a Readiband device for 7–10 days or throughout concussion recovery. Concussed participants completed a symptom score sheet each day. Participants returned the Readiband device and completed the Pittsburgh Sleep Quality Index Questionnaire (PSQIQ) after 7–10 days or on return to play. The sleep parameters, and PSQIQ scores were analyzed using non-parametric & independent t-tests with the alpha level set at 0.05.ResultsThe t-tests indicated a difference between the total minutes in bed at the initial measurement (F = 11.839, df = 1, p = 0.037) between the concussed (353.29 ± 110.48 minutes) and non-concussed (471.5 ± 125.09 minutes) groups. There was also a difference between the total minutes asleep at the initial measurement (F = 12.662, df = 1, p = 0.032) between the concussed (286.43 ± 86.73) and non-concussed groups (383.7 ± 104.86). The last measurement that indicated a difference was the calculated minutes in bed at the initial measurement (F = 11.916, df = 1, p = 0.023) between the concussed (326.4 3 ± 97.01) and non-concussed groups (441.60 ± 110.55).ConclusionsThe study results indicate that concussion affects the quantity of sleep, with concussed athletes spending less time in bed and fewer minutes asleep. Changes in sleep occur post-concussion, which may delay concussion recovery.

Acute Stress in Health Workers during Two Consecutive Epidemic Waves of COVID-19

The COVID-19 pandemic has provoked generalized uncertainty around the world, with health workers experiencing anxiety, depression, burnout, insomnia, and stress. Although the effects of the pandemic on mental health may change as it evolves, the majority of reports have been web-based, cross-sectional studies. We performed a study assessing acute stress in frontline health workers during two consecutive epidemic waves. After screening for trait anxiety/depression and dissociative experiences, we evaluated changes in acute stress, considering resilience, state anxiety, burnout, depersonalization/derealization symptoms, and quality of sleep as cofactors. During the first epidemic wave (April 2020), health workers reported acute stress related to COVID-19, which was related to state anxiety. After the first epidemic wave, acute stress decreased, with no increase during the second epidemic wave (December 2020), and further decreased when vaccination started. During the follow-up (April 2020 to February 2021), the acute stress score was related to bad quality of sleep. However, acute stress, state anxiety, and burnout were all related to trait anxiety/depression, while the resilience score was invariant through time. Overall, the results emphasize the relevance of mental health screening before, during, and after an epidemic wave of infections, in order to enable coping during successive sanitary crises.

Hubungan Penggunaan Gagdget terhadap Kualitas Tidur Remaja: Literature Review

Abstract80% of the use og gadgets in Indonesia is dominated by teenagers. Teenagers can spend their time just playing with their gadgets. Meanwhile, research data show that 63% of adolescents have inadequate sleep quality. This study aimed to determine the correlation between gadget use and adolescent sleep quality using a literature review study. Using a literature review design with the PEO (population, exposure, outcame) method ang using five articles from Google Scholar, Pubmed, Proquest published in 2010-2021. It showed that most of the respondents were male (52.42%) and 13 years old (30,52%). On the use of gadgets, most respondents were in the category of low use or not addicted (71.97%). Most of the respondents also had good quality of sleep (75.30%). The five articles obtained a p-value less than 0,05. There is a correlation between the use of gadgets with adolescents sleep quality.Keywords: Adolescents; gadgets; sleep quality AbstrakPenggunaan gadget di Indonesia 80% didominasi oleh usia remaja. Remaja bisa menghabiskan waktunya hanya untuk bermain gadget. Sedangkan data penelitian menunjukkan 63% remaja memiliki kualitas tidur kurang terpenuhi. Penelitian ini bertujuan untuk mengetahui hubungan penggunaan gadget terhadap kualitas tidur remaja menggunakan studi literature review. Menggunakan desain literature review dengan menggunakan metode PEO (population, exposure, outcame) dan menggunakan 5 artikel dari database dengan penelusuran elektronik pada Google Scholar, PubMed, Proquest yang dipublikasikan pada tahun 2010-2021. Karakteristik responden dari kelima artikel didapatkan jumlah responden terbanyak berjenis kelamin laki-laki (52,42%), responden terbanyak berusia 13 tahun (30,52). Pad penggunaan gadget sebagian besar responden pada kategori penggunaan rendah atau tidak kecanduan (71,97%) dan pada kualitas tidur sebagian besar responden memiliki kualitas yang baik (75,30%). Kelima artikel diperoleh hasil p-value < 0,05. Terdapat hubungan antara penggunaan gadget dengan kualitas tidur remaja.Kata kunci: Gadget; kualitas tidur; remaja