Sleep Quality Factors Research Articles

Relationship between social anxiety and sleep quality in depressed adolescents: the mediating role of internet addiction.

This study investigated the association between social anxiety and sleep quality and further explored the potential mediating role of internet addiction in depressed adolescents. This study included 440 Chinese depressed adolescents (mean age = 15.0 years, SD = 2.0). Participants completed questionnaires, including Social Avoidance and Social Distress Scale, Internet Addiction Test, and Pittsburgh Sleep Quality Index. A structural equation model was used to analyze the association between social anxiety and sleep quality, with internet addiction as a mediator. Gender differences were examined by multi-group analysis. Among participants, 61.8% reported poor sleep quality. The sleep quality was significantly different on the level of gender (p = 0.016), education level (p = 0.043), and family history (p = 0.002). Sleep quality was positively associated with social anxiety (p < 0.001) and internet addiction (p < 0.001). Furthermore, internet addiction partially mediated the relationship between social anxiety and sleep quality, and the mediation effect ratio was 16.1% (p < 0.001). Finally, no significant differences were found in this mechanism. We concluded that both social anxiety and internet addiction were risk factors for depressed adolescents' poor sleep quality. Social anxiety further affected sleep quality through internet addiction.

Daily Functional Characteristics and Health Among Older Adults During COVID-19: A Structural Equation Modeling Approach.

Within a few years, 1 in 6 people will be aged 60 years or older. Extreme situations, such as the COVID-19 crisis, constitute a challenge to older adults. However, the literature on the daily functional characteristics of older adults in the past and during the COVID-19 crisis and their relationships to their physical and mental health is scarce. This study aimed to examine the past and present daily functional factors associated with physical and mental health in older adults. Using an online platform, 204 Israelis aged 60 years and older reported their physical health symptoms and anxiety levels. They completed questionnaires about past (negative life events and childhood daily functional self-actualization) and present (adulthood daily functional self-actualization, functional cognition and sleep quality) factors. Structural equation modeling revealed correlations between functional cognition and childhood daily functional self-actualization (β = -.18) and anxiety (β = .15); adulthood daily functional self-actualization and past negative life events (β = -.18), anxiety (β = -.50), and physical symptoms (β = -16); and sleep quality and past childhood daily functional self-actualization (β = -.19), negative life events (β = .22), anxiety (β = .18), and physical symptoms (β = .40). These findings shed light on potential functional factors for older adults' health, indicating that these functional factors play a vital role in reducing health problems in later life.

Sleep quality and related factors among healthcare workers in designated quarantine hospital site in post-pandemic based on the health ecological model: a cross-sectional study in Nanjing, China.

This study aims to assess the status and related factors among healthcare workers (HCWs) in designated quarantine-hospital-site (DQHS) based on the model of health ecology. The cross-sectional study was conducted from April to May, 2022, which included 351 valid samples. We measured sleep quality using the Pittsburgh Sleep Quality Index, which encompasses seven dimensions: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. Each dimension is scored individually, contributing to an overall sleep quality score. Factors associated with the sleep quality of HCWs in DQHS were divided into individual, behavioral, interpersonal and social dimensions. Hierarchical linear regressions were conducted to identify the potential factors associated with sleep quality among HCWs in DQHS. HCWs in DQHS had a statistically higher sleep quality than the Chinese national norm. HCWs who were female, afraid of Coronavirus disease, had more negative emotions, frequently worked overtime, were married, and had a higher income were more likely to experience worse sleep quality (p < 0.05), while those who worked between 51 and 70 h weekly, treated over 10 patients daily, and engaged in more health behaviors may have better sleep quality (p < 0.05). This study revealed a worrying level of sleep quality among HCWs in DQHS. The government, hospital managers, and families should collaborate to ensure the sleep quality of HCWs in DQHS.

Study protocol of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA).

<p>Neuro&shy;cog&shy;nitive aging and the associated brain diseases impose a major social and economic burden. Therefore, substantial efforts have been put into revealing the lifestyle, the neurobiological and the genetic underpinnings of healthy neurocognitive aging. However, these studies take place almost exclusively in a limited number of highly-developed countries. Thus, it is an important open question to what extent their findings may generalize to neurocognitive aging in other, not yet investigated regions. The purpose of the Hungarian Longitudinal Study of Healthy Brain Aging (HuBA) is to collect multi-modal longitudinal data on healthy neurocognitive aging to address the data gap in this field in Central and Eastern Europe.</p>. <p>We adapted the Australian Ima&shy;ging, Biomarkers and Lifestyle (AIBL) study of aging study protocol to local circumstances and collected demographic, lifestyle, men&shy;tal&nbsp;and physical health, medication and medical history related information as well as re&shy;cor&shy;ded a series of magnetic resonance imaging (MRI) data. In addition, participants were al&shy;so offered to participate in the collection of blood samples to assess circulating in&shy;flam&shy;matory biomarkers as well as a sleep study aimed at evaluating the general sleep quality based on multi-day collection of subjective sleep questionnaires and whole-night elec&shy;troencephalographic (EEG) data.</p>. <p>Baseline data collection has al&shy;ready been accomplished for more than a hundred participants and data collection in the se&shy;cond<br>session is on the way. The collected data might reveal specific local trends or could also indicate the generalizability of previous findings. Moreover, as the HuBA protocol al&shy;so offers a sleep study designed for tho&shy;rough characterization of participants&rsquo; sleep quality and related factors, our extended multi-modal dataset might provide a base for incorporating these measures into healthy and clinical aging research.&nbsp;</p>. <p>Besides its straightforward na&shy;tional benefits in terms of health ex&shy;pen&shy;di&shy;ture, we hope that this Hungarian initiative could provide results valid for the whole Cent&shy;ral and Eastern European region and could also promote aging and Alzheimer&rsquo;s disease research in these countries.</p>.

A study on the differences and influencing factors of sleep quality in epilepsy patients of different genders

A study on the differences and influencing factors of sleep quality in epilepsy patients of different genders

Characterising Potential Subtypes and Influencing Factors of Sleep Quality in Psychiatric Nurses by Latent Profile Analysis

Background. Sleep is a crucial factor affecting an individual’s physical and mental health. Psychiatric nurses work under high stress and load, and it is necessary to understand the sleep quality of psychiatric nurses and the influencing factors. However, individual‐centred studies of psychiatric nurses’ sleep are limited. Aims. To explore the heterogeneity in sleep quality among psychiatric nurses, to identify the factors influencing different subtypes, and to provide targeted strategies and measures to improve their sleep quality. Methods. From August to October 2022, 298 psychiatric nurses working in a mental health centre in Liaoning Province were selected as the participants. The study involved administering the following two questionnaires: the general information questionnaire and the Pittsburgh Sleep Quality Index (PSQI). Data analyses included latent profile analysis, Kruskal–Wallis H test, and multiple logistic regression. Results. The prevalence of poor sleep quality (PSQI &gt;5) among psychiatric nurses was 54.7%. The sleep quality of psychiatric nurses could be classified into the following three distinct profiles: good sleep quality, moderate sleep quality, and poor sleep quality. Nurses who were over 40 years of age, unmarried/divorced/separated/widowed, worked more than 40 hours per week, experienced significant life events in the past year, had poor nurse‐patient relationships, and had chronic diseases were more likely to have poorer sleep quality. Conclusions. There was significant heterogeneity in sleep quality among psychiatric nurses. Age, marital status, work schedule, total weekly working hours, night shifts, special life events, nurse‐patient relationships, and chronic diseases were associated with their sleep quality. Implications. The heterogeneity and influencing factors of sleep quality in psychiatric nurses provided evidence for individualized interventions in the future. This trial is registered with ChiCTR2200062347.

Exploring Variables Associated with the Effects of a Self-Administered Hypnosis Intervention for Improving Sleep Quality

ABSTRACTAbout two-thirds of college students rate their sleep as suboptimal which is associated with a variety of additional issues. Poor sleep is shown to follow certain pre-sleep cognitive activity that inhibits sleep onset and reduces sleep quality. Preliminary evidence suggests that a self-administered hypnosis intervention is feasible in improving sleep within a college student population, and the current study explores potential correlating variables to inform future mechanistic research. Twenty-two college students who self-reported poor sleep quality utilized a three-week self-administered hypnosis intervention while completing baseline and endpoint measures of sleep quality, insomnia symptoms, and psychological factors. Results indicated that participants experienced significant improvement with large effects in sleep quality (d = -1.21) and significant decreases in insomnia symptoms (d = 1.05) from pre- to post-intervention. Significant improvements were also observed on measures of pre-sleep arousal and worry. The results suggest that a self-administered hypnosis intervention may modulate pre-sleep cognitive activity associated with poor sleep quality.

A protocol study on assessment of sleep cycle pattern, quality, and its determinant among Young Adults in an urban area of Wardha.

Abstract* Introduction The value of sleep in preserving health and well-being is widely understood, especially among young people. To improve cognitive abilities, especially memory retention, adequate sleep is essential. Inadequate sleep quality and the resulting daytime sleepiness can negatively affect young adults’ physical and cognitive health and performance. Objective To assess the sleep cycle pattern, quality, electronic usage at bedtime, and diet among young adults in an urban area of Wardha. Protocol An observational cross-sectional study will be carried out with young adults to evaluate sleep patterns. Sleep quality and related risk factors will be measured using self-reports by participants. The link between many risk variables and poor sleep quality will be investigated using logistic regression analysis. Study Implication The study will help understand and address sleep quality in young adults. The information gathered in the study can further help serve as data for future research. The understanding of why sleep quality is poor among young adults and how their sleep cycle pattern is disturbed.

Latent Profile Analysis of Fear of Hypoglycemia in Middle-Aged and Elderly Hospitalized Patients with Type 2 Diabetes and Its Relationship with Sleep Quality.

Hypoglycemia is an acute complication that can appear in people with type 2 diabetes treated with drugs which are associated with a risk of hypoglycemia, and it may lead to individual's fear of hypoglycemia (FoH). FoH adversely affects diabetic self-management, psychological well-being, and quality of life, and it is associated with sleep quality. Nevertheless, this problem is often underestimated. The purpose of this study was to explore the heterogeneous characteristics of FoH in middle-aged and elderly hospitalized patients with type 2 diabetes and assess its relationship with the sleeping quality. A cross-sectional study was performed on 263 middle-aged and elderly patients with type 2 diabetes hospitalized at the Zhejiang Veteran Hospital in Jiaxing, China, from May to August 2022, selected by a convenient sampling method. A questionnaire containing general information, fear of hypoglycemia scale-15 (FH-15) and the Pittsburgh sleep quality index (PSQI) was provided to the participants. Latent profile analysis was performed to examine the potential latent groups in the distribution of answers on the individual FoH items. The results identified three latent classes: Class 1 - Low FoH group (33%); Class 2 - No FoH group (61%); Class 3 - High FoH group (6%). The latent FoH class was the influencing factor of sleep quality, which was better in the No FoH group than in the Low FoH group, while the sleep quality of the Low FoH group was better than that in the High FoH group. A heterogeneity was found in the FoH of middle-aged and elderly hospitalized patients with type 2 diabetes. Health-care providers should pay more attention to these patients with high FoH and develop intervention strategies to mitigate it and improve their sleep quality.

Deprem sonrası erken dönemde travma belirtileri, uyku kalitesi ve ilişkili faktörler

Aim: Traumatic life events such as earthquake are frequently encountered problems both in our country and all over the world. The aim of this study was to determine sleep quality, trauma level and related factors and to evaluate the effects of gender, damage status and losses in adults who were admitted to the psychiatry outpatient clinic among individuals who were placed in Kırıkkale University student dormitories immediately after the 6 February 2023 earthquakes that affected a wide geography in our country.&#x0D; Methods: 64 volunteers were included in the study between March 2023 and June 2023. After the participants' complaints and sociodemographic characteristics were questioned, the Pittsburgh Sleep Quality Index (PSQI) and the Scale That Determines the Level of the Trauma after the Earthquake (PETLDS) were applied to the participants to determine their sleep quality and trauma levels after the earthquake.&#x0D; Results: &#x0D; The mean age of the participants was 45.5±15.5, and 75.0% of them were women. Fear/anxiety and insomnia were the most frequently reported complaints by the participants. The mean of the participants' PSQI scores was 10.5±4.4, and 43 participants (79.6%) had poor sleep quality in the last month. The mean score of the participants' PETLDS was determined as 76.6±17.9. When the subscales were examined, it was determined that the emotional limitation and cognitive restructuring scores were higher than the behavioral, affective and sleep problems. When the participants were compared in terms of damage in their homes, it was found that the participants with moderately or more damaged houses had statistically higher emotional, cognitive restructuring and sleep problems and total trauma scores compared to the participants with a solid or slightly damaged house (respectively; p=.017, p=.023, p=.010, p=.040). Individuals with moderately or more damaged houses had higher PSQI scores but this difference did not reach statistical significance (p=.061).&#x0D; Conclusion: The earthquakes that occurred in our country on and after 6 February 2023 affected a large area and resulted in millions of people being directly or indirectly affected. To minimize the physical and psychological damage that earthquakes may cause, post-disaster management should be carried out well, and it should be noted that it is a priority to support earthquake victims psychologically as well as their social and medical needs.

O069 Links between sleep outcomes and lifestyle factors in young adults who sustained traumatic brain injury in childhood

Abstract Objective We investigated the relationships between subjective and objective sleep and lifestyle factors (i.e., nap duration, screentime, chronotype, use of tobacco, alcohol, caffeine, and medications) in young adults who sustained traumatic brain injury (TBI) in childhood. Methods We report cross-sectional data collected at 20 years post-childhood TBI, as part of a prospective study. Participants included 54 young adults with TBI (Mean age, 27.7years) who were assessed at 20 years postinjury (mild (n = 14), moderate (n = 27), and severe (n = 13) TBI) and 13 healthy controls (Mean age, 26.0 years). The Pittsburgh Sleep Quality Index and actigraphy were used to assess sleep outcomes, and lifestyle factors were assessed with study-designed measures. Results Results showed that poor subjective sleep quality was significantly associated with evening chronotype (p &amp;lt; 0.001) and tobacco use (p &amp;lt; 0.001), while being a parent (p = 0.038) and alcohol use (p = 0.035) were significantly associated with poorer objective sleep efficiency in the TBI group. Discussion These preliminary findings highlight interesting associations between poor sleep quality and lifestyle factors in young adults who sustained TBI in childhood, and indicate the need to further explore these relationships in this TBI population to inform on potential avenues for sleep interventions.

Identification of sleep quality clusters among stroke patients: A multi-center Latent Profile Analysis study

BackgroundQuality sleep plays a crucial role in maintaining good health. Nevertheless, sleep disruption is a common and complex issue after a stroke. It can increase the likelihood of stroke recurrence by influencing modifiable risk factors. However, there is currently a lack of research on the latent classes or clusters of sleep quality and its predictive factors among stroke patients. ObjectivesThis study aims to identify latent classes of sleep quality and explore the predictive factors associated with different sleep quality clusters among stroke patients. MethodsA total of 500 participants were recruited through cluster random sampling from January 2023 to May 2023. Latent profile analysis was conducted to identify latent classes of sleep quality within the sample of stroke patients. Additionally, multinomial regression analyses were employed to investigate the predictors associated with the different latent classes identified in the analysis. ResultsOut of the 500 participants, 458 (91.6 %) completed the survey, and 71 % of them reported experiencing sleep problems. The analysis revealed three latent profile classes: the “good sleep quality-deficient duration” group (65.4 %), the “moderate sleep quality-more disturbances” group (14.1 %), and the “poor sleep quality-low efficiency” group (20.5 %). Factors associated with sleep quality were identified. Protective factors for sleep quality included being male, having the TOAST type of large-artery atherosclerosis, having a good education, high household income, no family history of stroke, residing in rural areas, and having better environmental and social support (all p < 0.05). Risk factors for sleep quality included smoking, high perceived stress, and a greater number of comorbidities (all p < 0.05). ConclusionsThis study has successfully identified three distinct latent profile classes of sleep quality and their associated predictors among stroke patients in China. The findings offer both theoretical guidance and practical insights for the development of targeted intervention programs aimed at enhancing the sleep quality of stroke patients.

Unraveling the Nexus: Exploring the Relationship between Exercise Habits and Sleep Quality in Older Adults.

The objective of this study is to investigate the impact of exercise habits on enhancing the sleep quality of older adults. The Pittsburgh Sleep Quality Scale and other questionnaires were utilized to assess the sleep quality of older adults aged 60 years and above in the H district. The sampling method employed was stratified random sampling. To analyze the influencing factors of sleep quality, the average treatment effect was estimated, the robustness of the results was assessed and statistical methods such as Logit regression and propensity score matching were employed. The study revealed that exercise habits strongly correlated with improved sleep quality in the older adult (p < 0.05), with the average total sleep quality score being 6.22 (±3.53). It was observed that older adults who engaged in exercise habits experienced a significant 12.66% increase in the likelihood of achieving good sleep. This investigation highlights the positive association between exercise habits and enhanced sleep quality among older adults. Additionally, age, physical pain and self-rated health statuses were identified as significant factors influencing sleep quality in this population. To enhance the sleep quality of older adults, this article recommends promoting relevant exercise habits, thus contributing to their overall well-being and quality of life.

Sleep Quality and Associated Factors Among Older Adults in Tabriz, Iran: Tabriz Older People Health Survey (TOPS-2019)

Objectives: The study aimed to investigate the sleep quality of aged people in Tabriz and identify its associated factors. Design: Cross-sectional study. Setting(s): Tabriz, the capital of the East Azerbaijan province in northwest Iran. Participants: A total of 1362 participants were selected from a representative sample of community-dwelling older people aged≥60 years who were living in Tabriz, using the probability proportional to size (PPS) sampling method. Outcome measures: Blood pressure (BP), sleep quality, depression, anxiety, loneliness, physical activity, daily activities, living independently, and social support were assessed using a standard mercury sphygmomanometer, Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), the 6-item De Jong Gierveld Loneliness Scale, Physical Activity Scale for the Elderly (PASE), Activity of Daily Living (ADL), Instrumental Activity of Daily Living (IADL), respectively. Results: The mean score of total PSQI was 5.39±2.91. The multivariable logistic regression model showed that being female (Odds ratio [OR]=1.68, 95% confidence interval [CI]=1.29 to 2.18), hypertensive (OR=2.12, 95% CI=1.52 to 2.95), diabetes mellitus (DM) (OR=1.29, 95% CI=0.96 to 1.72), abnormal anxiety level (OR=2.38, 95% CI=1.67 to 3.38), and low PASE score (OR=0.99, 95% CI=0.99 to 1) were significantly associated with a higher risk of poor sleep quality. Conclusions: Low physical activity is a modifiable risk factor for low sleep quality in older adults. Hence, the development of physical activity programs can be effective in improving sleep quality. Furthermore, women are the priority in designing interventions.

A - 30 Risk Factors for Poor Sleep Quality and Subjective Cognitive Decline during the COVID-19 Pandemic in an Ethnoracially Diverse US Sample.

Poor sleep quality is associated with subjective cognitive decline (SCD), a risk factor for developing Alzheimer's disease and Mild Cognitive Impairment. These relationships are understudied in ethnoracially diverse groups. We examined associations between sociodemographic characteristics, sleep changes during the COVID-19 pandemic (i.e., increased problems/poorer quality), and SCD in ethnoracially diverse older individuals in the US. 870 older adults (126 Latino, 74 Black, 33 Asian, and 637 White; Mage = 67.0 [7.6]) completed an online survey including sociodemographic information, the Everyday Cognition scale (ECog), which measures SCD, and a question inquiring about increased sleep problems/worsened sleep quality during the pandemic. Chi-square tests and analyses of variance assessed sociodemographic and SCD differences between groups. Regression and correlation analyses assessed relationships among sociodemographic factors, changes in sleep quality, and SCD. White participants were older (p < 0.001), and White and Asian groups had higher education levels (p = 0.009) than Latinos. There were more female (p = 0.016) and middle-income (p = 0.019) White respondents. There were no group differences in ECog ratings (p = 0.143) or the proportion of respondents endorsing changes in sleep during the pandemic (p = 0.197). Changes in sleep were associated with greater SCD (β= 0.214, p < 0.001). Younger age (p < 0.001), female sex (p = 0.001), and lower income (p = 0.016) were significant predictors of changes in sleep. Poorer sleep quality resulting from the COVID-19 pandemic was associated with SCD concerns. Notably, younger, female, and lower-income adults may have been at greater risk for increased sleep problems. Future work is needed to comprehensively examine sleep quality, SCD, and objective cognitive functioning in more representative samples.

Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study

ObjectiveThis study aimed to investigate the prevalence and associated factors of poor sleep quality among Bole Lemi Industrial Park workers in Addis Ababa, the capital of Ethiopia.DesignAn institution-based cross-sectional study...

Chinese Medicine Constitution that Influences Sleep Quality and Fatigue among Chinese Nurses Working in Shifts in Japan and China

Nurses who work in shifts may face poor sleep quality and oppressive fatigue. The purpose of this study was to clarify Chinese medicine constitution that influences sleep quality and fatigue among Chinese nurses engaged in shift work. Considering that these conditions might differ according to living environments, studies were conducted both in Japan and China. Data were gathered using the attributes of nurses, the Pittsburgh Sleep Quality Index to evaluate sleep quality, the Jikaku-sho shirabe to evaluate fatigue, and the Constitution in Chinese Medicine Questionnaire, which evaluates Chinese medicine constitution according to nine criteria. The survey was conducted via internet, with data analyzed from 100 Chinese subjects in Japan and 100 Chinese subjects in China. Increase in age, living in China, Qi-deficiency constitution and Blood-stasis constitution were causal factors for lower sleep quality. Sleep quality was significantly lower among nurses in China than those in Japan. The following factors were observed to be causal factors for increased fatigue: longer histories of working in shifts, living in Japan, poorer quality sleep, Qi-deficiency constitution, Yang- and Yin-deficiency constitution, Qi-stagnation constitution and Inherited special constitution. Nurses in Japan showed significantly greater fatigue at the end of a night shift than did those in China. It is suggested that adjustments of Qi-deficiency constitution and Blood-stasis constitution can improve sleep quality in nurses who work in shifts. We believe that improving sleep quality and making adjustments to the five types of Chinese medicine constitution can work to reduce fatigue.

A Cross-Sectional Study on the Assessment of Sleep Quality and Associated Factors Among Diabetes Mellitus Patients

Background: Sleep is a fundamental factor associated with chronic illness. Lack of quality sleep and the extent of sleep may affect several aspects of physical, emotional, and cognitive health. Aim and objective: The study aims to assess sleep quality and associated factors in subjects diagnosed with diabetes mellitus using Pittsburgh Sleep Quality Index Questionnaire (PSQI). Materials and methods: An eight-month prospective cross-sectional study involving 356 patients with diabetes mellitus was carried out. The patient data collection form was prepared per the study's needs. Patients' responses to questionnaires about their sleep quality, anxiety, depression possibility, and physical activity were recorded. The data were analysed using a statistical tool for the social sciences (SPSS) version 28.0. Results: Among 356 subjects enrolled, 43 (12%) had poor sleep quality, rest of the 313 (88%) patients had good sleep quality. Poor sleep quality was observed between the age group of 51-70 years. When compared to women, men were generally shown to have poor sleep quality. When compared to patients with mild and moderate anxiety, it was observed that most of the subjects with severe anxiety had poor sleep quality. Poor sleep quality was reported by the majority of patients who tested positive for depression and inadequate physical activity. Conclusion: The study concluded that diabetes mellitus does not significantly affect sleep quality in most patients. However, patients with low physical activity, severe anxiety and depression had poor sleep.

Poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia: systematic review and meta-analysis.

COVID-19 has profoundly impacted the mental health and well-being of pregnant women worldwide. In Ethiopia, the poor sleep quality and suicidal ideation among pregnant women has increased due to the COVID-19 pandemic. This study aimed to provide comprehensive evidence on the prevalence and associated factors of poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia. This study is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendation. Data were searched from PubMed, Google Scholar, and African Journals Online from the occurrence of the COVID-19 pandemic to February 2023. Two researchers extracted the data and performed the methodological quality assessment independently. Random-effect model was used to estimate the pooled effect size and I2was used to check heterogeneity. Stata 14.0 (StataCorp, Collage Station, Texas, USA) was used for statistical analysis. From six studies the pooled prevalence of poor sleep quality was 55% (95% CI [0.42-0.69], I2 = 98.1%, p<0.001). Age ≥ 30 years pooled AOR = 1.95, 95% CI (0.85, 3.06), 3rd trimester pooled AOR = 3.20, 95% CI (1.82, 4.58), substance use pooled AOR = 2.51, 95% CI (0.99, 4.04), depression pooled AOR = 2.97, 95% CI (0.92, 5.02) and stress pooled AOR 2.14, 95% CI (0.24, 4.03) were associated factors of poor sleep quality. Three studies reported about suicidal ideation and pooled prevalence was 11% (95% CI: 0.09, 0.13, I2 = 48.2%, p=0.145). Depression pooled AOR = 3.19, 95% CI (1.68, 4.71) was the only associated factor of suicidal ideation. Due to COVID-19 pregnant women in Ethiopia were affected by poor sleep quality and suicidal ideation. Thus, suitable and well designed programs proposing awareness of COVID-19, mental health counseling and involvement should be designed to improve the general mental health of pregnant women. PROSPERO registration number CRD42023389896.

Influence of Regional Analgesia on Self-Reported Quality of Sleep After Gynecological Abdominal Surgery: A Secondary Analysis of a Randomized Trial

ObjectivesTo determine whether intrathecal morphine (ITM) analgesia in abdominal surgery for presumed gynecological malignancy was associated with better self-reported sleep quality postoperatively compared with epidural analgesia (EDA), and to evaluate risk factors for bad sleep quality. MethodsA secondary analysis of a randomized open controlled trial, comparing ITM and EDA as postoperative analgesia in 80 women undergoing laparotomy under general anaesthesia in an enhanced recovery after surgery framework. A total of 38 women allocated to ITM and 39 to EDA completed the study. The Swedish Postoperative Symptoms Questionnaire assessed symptoms and sleep quality during the first postoperative week. Multiple logistic regression models evaluated risk factors. The results are presented as adjusted odds ratios with 95% CIs. ResultsThe sleep quality night-by-night did not differ significantly between the women who had ITM or EDA. Risk factors for bad sleep quality for night 1 were age (0.91; 0.84–0.99), operation time (1.02; 1.00–1.03), and opioid consumption (0.96; 0.91–0.99). For night 2, regular use of hypnotics preoperatively (15.81; 1.52–164.27) and opioid consumption (1.07; 1.00–1.14) were independent risk factors for bad sleep. After the second night, no risk factors were disclosed. ConclusionsITM and EDA did not appear to affect the sleep quality postoperatively differently in women undergoing laparotomy for presumed gynecological malignancy. Risk factors for self-reported bad sleep quality varied during the first 3 days after surgery. Younger age, longer operation time, and preoperative use of hypnotics were associated with bad sleep quality, whereas the effect of opioid consumption on sleep quality varied depending on the time since surgery. These findings merit further studies.