Sleep Quality and Associated Factors Among Diabetes Mellitus Patients in a Follow-Up Clinic at the University of Gondar Comprehensive Specialized Hospital in Gondar, Northwest Ethiopia: A Cross-Sectional Study

Quality of Sleep and Its Determinants Among People with Diabetes Mellitus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

BACKGROUND

Poor sleep quality is a serious concern among diabetes mellitus patients, adversely affecting glycemic management and the prognosis of diabetic patients. Therefore, the main aim of this study was to estimate the overall pooled prevalence of poor sleep quality and its associated factors among diabetic patients in Sub-Saharan Africa.

METHODS

Several search databases were employed to retrieve the eligible studies. A standardized data extraction format was used to extract the data, and the analysis was conducted using STATA version 14. To determine heterogeneity, the I2 test was conducted, and both the funnel plot and Egger's regression test were used to assess the publication bias. A random effects model meta-analysis was performed to estimate the overall prevalence and associated factors of poor sleep quality.

RESULTS

In the current meta-analysis, a total of 11 studies with 3,766 study participants were included. The overall pooled prevalence of poor sleep quality among diabetic patients was 53.22% (95% CI: 36.26, 70.19). Poor sleep quality was significantly associated with longer duration of diabetes (OR = 2.94, 95% CI: 1.85, 4.67), poor glycemic control (OR = 2.24, 95% CI: 1.51, 3.32), depression (OR = 4.09, 95% CI: 2.07, 8.05) and comorbidity (OR = 1.94, 95% CI: 1.31, 2.88).

CONCLUSION

In this study, more than half of diabetic patients in Sub-Saharan Africa had poor sleep quality. Therefore, healthcare providers should give more attention to sleep disorders when screening diabetic patients to improve their poor sleep quality.

Relationship between sleep quality and depression in people with type 2 diabetes

Background

sleep quality disorder is both a risk factor for diabetics and a symptom of depression. This study aimed to determine the relationship between sleep quality and depression in people with type 2 diabetes in Delijan city in 2022.

Methods

The present study was a descriptive-analytical study conducted on 245 people with Type 2 Diabetes Mellitus(T2DM). The data were collected from health centers and homes, diabetes clinics in the city of Delijan. The sampling method in this study was Convenienc. Inclusion criteria include people over 30 years old, people with a history of diabetes for more than six months and and people with no known mental disorders. Data collection tools included the Pittsburgh Sleep Quality Index (PSQI), the Beck questionnaire, clinical information about diabetes(FBS, %HbA1c level and duration of diabetes), and a checklist of demographic information. SPSS 23 software was used for data analysis. Data were analyzed using independent t-tests, Chi-square, ANOVA and logistic regression. A significance level of P < 0.05 was considered significant.

Results

The mean (SD) age of the participants was 57.58 (10.58) years. Regarding gender, 162 subjects (66.1%) were female. A statistically significant relationship was observed between the quality of sleep in people with type 2 diabetes with gender, education, Family history T2DM, age, and between depression with gender and FBG. a statistically significant relationship was observed between sleep quality and depression. Also, according to the logistic regression, sleep quality (dependent variable) showed a significant relationship with depression, age, sex, and education.

Conclusion

According to the results, there is a significant relationship between sleep quality and depression In people with T2DM, so it can be used in periodic care of diabetic people to screen for depression, which could improve their sleep quality to some extent.

Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis

Background

Poor sleep quality impedes the progression of chronic illnesses, while chronic illnesses themselves are caused by poor sleep quality. Despite this fact, there is no research that has been conducted in Ethiopia that provides a thorough estimate of the self-reported sleep quality among patients with chronic illnesses. In order to present a complete picture of poor sleep quality among diabetes, hypertension, heart failure, cancer, HIV/AIDS and epilepsy patients, this systematic review and meta-analysis was carried out.

Methods

Systematic review and meta-analysis was conducted to estimate the quality of sleep among patients with chronic illness in Ethiopia. The Preferred Reporting Items for Systematic Review and Meta Analysis standard was followed in the reporting of this systematic review and meta-analysis. An extensive exploration of digital repositories, including PubMed, EMBASE, Cochrane, Africa Journal of Online, Google Scholar, and an advanced Google search, was conducted to obtain published studies until December 1st, 2023 detailing poor sleep quality of patients with chronic illness. STATA version 17 commands were used to create the pooled estimate. The I2 test and Egger's test, respectively, were used to identify the presence of heterogeneity and publication bias. To manage heterogeneity, a subgroup analysis and random effect model were used.

Results

A total 21 articles with a total of 7393 participants were included in the final systematic review and meta-analysis. The pooled estimate of poor sleep quality among patients with chronic illness was 52% (95% of CI: 48%, 59%; I2 = 97.26%). In subgroup analysis, the highest pooled estimate of poor sleep quality was observed in cancer patients 63% (95% CI: (95% CI: 45% - 80%). Regarding to data collection period, the highest pooled estimate of poor sleep quality was seen during spring 68% (95% CI: 42% - 94%).

Conclusions

Patients with chronic illnesses in Ethiopia had a high pooled estimate of poor sleep quality. Patients with cancer had the highest pooled estimate of poor-quality sleep compared with other patients. Patients with chronic illnesses had trouble sleeping in the spring, according to this systematic review and meta-analysis. Therefore, attention and intervention should be given to enhance the quality of sleep for patients with chronic illnesses.

Effects of diabetes mellitus complications on sleep quality among Saudi Arabian patients-A national study

Introduction

In diabetes mellitus (DM) patients, obtaining a good night's sleep is crucial for maintaining body caloric intake, controlling insulin levels, and reducing the likelihood of engaging in unhealthy behavior. Patients with poor sleep quality may experience impaired glycemia, playing a significant role in the development of chronic complications. This study aims to explore the effects of DM complications on sleep quality among Saudi Arabian patients.

Patient and Methods

This is a cross-sectional study conducted among patients with diabetes. A self-administered, validated questionnaire translated into Arabic was distributed among diabetic patients using an online survey. The questionnaire includes sociodemographic characteristics (i.e. age, gender, marital status, etc.), the medical history of the patients, and a questionnaire about sleep quality.

Results

Out of 4171 patients involved, 52.7% were females and 27.7% were aged between 40 and 60 years old. The prevalence of patients with perceived poor sleep quality was 24.1%. Significant predictors of poor sleep quality were the gender female, having social stressors, comorbid sleep disorders, associated comorbidities, increasing HbA1c levels, being overweight/obese, and diabetes complications. Furthermore, sleep disturbance, taking sleep medications, daytime sleepiness, and having bad dreams during sleep were also identified as prognostic factors for poor sleep quality.

Conclusion

The subjective poor sleep quality of patients with diabetes was 24.1%. Poor sleep quality was significantly demonstrated by females who were having social stressors, comorbid sleep disorders, comorbidities, uncontrolled HbA1c levels, elevated BMI levels, and complications of diabetes. However, regular physical activity and adequate sleep were estimated to be the protective factors against poor sleep quality. Further research is needed to establish the effect of sleep quality among patients with DM.

Sleep health and quality of life in the Detroit Research on Cancer Survivors cohort

PURPOSE

Sleep disturbances represent a modifiable target to improve quality of life and longer-term outcomes in cancer survivors. However, the association between sleep health and overall quality of life in African American cancer survivors has been poorly assessed, a population at increased risk for morbidity and mortality.

METHODS

Seven hundred and eighteen Detroit Research on Cancer Survivors (ROCS) cohort participants completed a supplemental sleep survey at the time of enrollment, which included the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI). Linear and logistic regression was used to evaluate the association between sleep and mental health, while block regression models were used to estimate the contribution of clustered factors to Health-Related Quality of Life (HRQOL).

RESULTS

Nearly 60% of the cohort reported symptoms indicative of poor sleep quality on the PSQI, 15% reported excessive daytime sleepiness on the ESS, and 12% reported moderate to severe insomnia on the ISI. Survivors with elevated ISI scores reported FACT-G scores that were 17 points lower than those without symptoms of insomnia (95% CI: - 13.1, - 21.2). Poor sleep health accounted for the largest proportion of variability in FACT-G scores (R2 = 0.27) and change in R2 value (0.18) when compared to comorbidities, health behaviors, cancer-related factors, and demographics.

CONCLUSIONS

Overall sleep health was significantly associated with poorer HRQOL and variability in FACT-G scores. Additional studies investigating a causal relationship between sleep and HRQOL are needed to determine whether sleep quality could affect disparities in cancer outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

Addressing sleep quality in cancer survivors may improve long-term health and HRQOL.

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

OBJECTIVES

Type 2 diabetes mellitus (T2DM) is a serious public health issue. Compared with the general population, patients with T2DM have a higher risk of poor sleep quality, which could ultimately result in poor prognosis. Therefore, this study aimed to evaluate sleep quality and its associated factors among patients with T2DM in Hunan, China.

DESIGN

This was a cross-sectional study.

SETTING

A tertiary hospital in Hunan, China.

PARTICIPANTS

Patients with T2DM hospitalised at the Endocrinology Department were consecutively enrolled between March 2021 and December 2022. Sociodemographic characteristics, lifestyle factors and T2DM-related information were collected retrospectively.

PRIMARY AND SECONDARY OUTCOME MEASURES

Sleep quality was evaluated using the Pittsburgh Sleep Quality Index, with a cut-off value of >7 suggesting poor sleep quality. Multivariate logistic regression analysis was used to determine factors associated with poor sleep quality.

RESULTS

Of the 1039 participants included, 1001 provided complete data. The mean age of the study sample was 60.24±10.09 years, and 40.5% (95% CI 37.5% to 43.5%) of patients had poor sleep quality. Multivariate logistic regression analysis showed that female sex (adjusted OR (aOR) 1.70, 95% CI 1.25 to 2.29), unmarried status (aOR 1.72, 95% CI 1.05 to 2.83), diabetic retinopathy (aOR 1.38, 95% CI 1.04 to 1.83), diabetic foot (aOR 1.80, 95% CI 1.11 to 2.93) and a per capita monthly household income of >5000 RMB (aOR 0.66, 95% CI 0.47 to 0.93) were associated with poor sleep quality.

CONCLUSIONS

Nearly two-fifths of patients with T2DM reported poor sleep quality in Hunan, China. Sex, marital status, diabetic retinopathy, diabetic foot and household income were independently associated with sleep quality among patients with T2DM in Hunan, China.

Effect of a Single Light-intensity Walking Session on Sleep Quality of Patients with Bladder Cancer: A Randomized Cross-Over Study

OBJECTIVES

Exercise has been recommended to enhance sleep. However, there is a paucity of studies investigating the relationships between exercise and sleep problems in patients with bladder cancer. The authors explored the effects of a single bout of light-intensity walking on the sleep quality of patients with bladder cancer who have sleep disorders.

DATA SOURCES

A total of 14 patients with bladder cancer with sleep disorders were recruited for this trial. The participants were randomly assigned to the walking or control condition in a cross-over design to explore the effects of a single light-intensity walking session on objectively measured sleep quality. A two-way repeated measures analysis of variance and a nonparametric permutation test were used to examine intervention effects. Twelve participants (85.7%) completed the trial. A significant group × time interaction for sleep latency (P = .023) was identified. The pairwise comparison showed significant results (P = .012) for the difference between the post-test sleep latency and the pre-test. No significant group × time interactions were observed for the remaining seven sleep parameters. Additionally, only the main effects of time on length of awakening and time in bed were significant (P < .001).

CONCLUSION

A single bout of light-intensity walking has a positive effect on shortening the sleep latency of patients with bladder cancer who have sleep disorders.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses can encourage patients with bladder cancer to exercise, even light-intensity walking, which may improve sleep quality.

Factors associated with poor sleep quality among construction workers in Arba Minch town, Ethiopia: A cross-sectional study

Background and Aims

Sleep is critical for human physical and cognitive health. Even though poor sleep quality had a major negative impact on workers' health and safety, there is a scarcity of study that attempts to demonstrate its magnitude and causative factors in labor-intensive environments.

Methods

A cross-sectional study design was employed. A total of 423 individuals were selected using a simple random sampling technique, starting from April 1, 2020 to May 1, 2020. Interviews were administered using the validated and pretested Pittsburgh Sleep Quality Index (PSQI) tool. EpiData version 4.4.3.1 was used for data entry and SPSS version 25 for analysis. To associate factors with poor sleep quality binary logistic regression model was fitted at 95% confidence interval (CI). A p < 0.25 and p < 0.05 were used to declare association in bivariable and multivariable analysis, respectively.

Results

A total of 415 building construction workers take part in this study, with a response rate of 98.1%. A PSQI global score showed 66.3% (95% CI: [0.63, 0.71]) of construction workers suffering from poor sleep quality. Working hours, work experience, previous injury status, managerial support on occupational safety and health, cigarette smoking, and job satisfaction were the factors that were associated with poor sleep quality significantly.

Conclusions

Two-thirds of construction workers suffer from poor sleep quality. Risk factors include shorter working years, longer working hours, prior injury, lack of managerial support, cigarette smoking, and low job satisfaction. Efficient health education and promotion through taking the identified associated factors into account could help reduce poor sleep quality.

Sleep and Circadian Rhythm Disturbances in Diabetes: A Narrative Review

Sleep and circadian rhythm disturbances are less-known risk factors for the development and suboptimal outcomes of diabetes. The goal of this narrative review is to highlight the importance of sleep and circadian rhythm disturbances in the development and outcomes of type 1 diabetes (T1D) and type 2 diabetes (T2D), assess current treatment options and the possible mediating mechanisms. We performed a literature search using PubMed and selected relevant English and Dutch papers. Disturbances of sleep and circadian rhythm are common in people with diabetes. They are associated with an increased risk of developing T2D as well as with suboptimal diabetes outcomes (including higher HbA1c levels and reduced quality of life) for T1D and T2D. Preliminary data suggest that treatment of sleep and circadian rhythm disturbances could improve diabetes outcomes in people with T1D and T2D. Finally, the association with medical parameters appears to be mediated by disturbance in hormones, and by suboptimal self-care including forgetting or postponing glucose monitoring or medication use as well as higher consumption of high fat/high sugary foods. Diabetes may also disturb sleep, for example through nocturnal hypoglycemia and nocturia. We concluded that sleep and circadian rhythm disturbances are closely linked with diabetes. More attention to sleep in regular diabetes care is warranted, while further research is needed on treatment of sleep and circadian rhythm disturbances in the prevention of diabetes and its suboptimal outcomes.

Risk factors for the prevalence of poor sleep quality in lecturers during COVID-19 pandemic in Ethiopia: an institution-based cross-sectional study

OBJECTIVE

This study was conducted to assess the prevalence and risk factors of poor sleep quality (SQ) among the academic staff at the University of Gondar, Northwestern Ethiopia.

DESIGN

An institution-based cross-sectional study was conducted from March to April 2021. A validated, self-administered, standardised Pittsburgh Sleep Quality Index (PSQI) was used to quantify the amount of self-reported poor SQ. The collected data were entered into EpiData V.4.6 and analysed using Stata V.14 software. Binary logistic regressions were computed to determine the association between variables. The association was determined using an adjusted OR (AOR) with a 95% CI at a p value of <0.05.

SETTING

The study was conducted at the University of Gondar, Northwestern Ethiopia.

PARTICIPANTS

A total of 607 lecturers participated in this study.

OUTCOME MEASURES

The primary outcome is the prevalence of poor SQ, which was measured using the PSQI.

RESULTS

Overall response rate was 95.60% (N=607). The age of the participants ranges from 21 to 70 with a mean of 32.39 (SD±6.80) years. The magnitude of poor SQ during the COVID-19 pandemic in the last month was 60.30% (95% CI (56.28% to 64.21%)). Working greater than 10 hours per day (AOR=2.19, 95% CI (1.16 to 4.27)), electronic device use before bedtime (AOR=1.53, 95% CI (1.04 to 2.27)), high-risk perception of COVID-19 infections (AOR=1.60, 95% CI (1.04 to 2.46)) and perceived job stress (AOR=2.15 (95% CI (1.50 to 3.08)) were risk factors for poor SQ.

CONCLUSION

The study revealed that the prevalence of poor SQ was high during the COVID-19 pandemic. The finding highlights the importance of optimising the working hours per day, minimising electronic device use before bedtime, promoting risk perception toward COVID-19 infection and developing workplace coping strategies for stress, which play a substantial role in minimising poor SQ.

Prevalence of Sleep Disturbance in Patients With Cancer: A Systematic Review and Meta-Analysis

Sleep disturbance is one of the most common and troubling symptoms that harm the quality of life throughout all phases of treatment and stages of the illness among patients with cancer. The aim of this meta-analysis is to examine the present status of sleep disturbance prevalence in patients with cancer. The following databases were searched: PubMed, CINAHL, MEDLINE, EMBASE, PsycINFO, from inception to April 2021. Prevalence rates were pooled with meta-analysis using a random-effects model. A total of 160 studies (N = 46,279) published between 1998 and 2021 met the inclusion criteria. The overall prevalence of sleep disturbance was 60.7% (26,448/46,279 participants, 95% CI 58.1-63.3%) with significant heterogeneity between studies (p < .000, τ2 = .0000, I2 = 96.4%). This meta-analysis highlights the importance of developing optimal monitoring strategies to reduce sleep disturbance and improve the quality of life of cancer patients.

Type 2 Diabetes in Women: Differences and Difficulties

BACKGROUND

Lifestyle modification, along with medication, has improved the quality of life of patients with type 2 diabetes (T2D), but the treatment of diabetes in women still lacks a gender-centric approach.

METHODS

Expert opinions to improve diabetes management in women were collated from the open discussion forum organized by the sixth Jothydev's Professional Education Forum Diabetes Convention, which included global diabetes care experts and the general public. The review is also based on the studies published in electronic databases such as PubMed and Google Scholar that discussed the problems and challenges faced by the Indian diabetes care sector in treating women with diabetes.

RESULTS

The complex interplay of biological, socioeconomic, psychosocial, and physiological factors in women with type 2 diabetes has not been well addressed to date. Biological factors such as neurohumoral pathways, sex hormones, genetic predisposition as well as gender-based environmental and behavioural differences must be considered for modern personalized diabetes treatment. Most importantly, pregnant women with diabetes deserve special attention. This vulnerable phase has a marked impact on the future health of both the mother and the offspring.

CONCLUSION

The review provides an overview of the challenges and issues that exist in the clinical management of diabetes and its complications among women in India. Women-centric clinical approaches should be encouraged for the effective management of diabetes in Indian women.

Sleep Quality and Its Determinants Among Type 2 Diabetes Patients with Comorbid Metabolic Syndrome

PURPOSE

The prevalence of poor sleep quality in patients with diabetes was higher than the general population. This study aimed to explore risk factors for not only poor sleep quality, but also long sleep latency, short sleep duration and low sleep efficiency, in type 2 diabetes patients (T2DM) with comorbid metabolic syndrome (MS).

PATIENTS AND METHODS

A total of 281 patients aged 18-75 years were enrolled from Ningbo First Hospital during October 2021 to March 2022. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Sleep latency, sleep duration and sleep efficiency were obtained by a response to the questionnaire. Descriptive, independent two-sample t-test, Chi-square test and multiple logistic regression were conducted using SPSS Version 28.

RESULTS

The prevalence of poor sleep quality in T2DM with comorbid MS patients was 59.10%. The factors significantly associated with poor sleep quality were depression symptoms (OR = 3.10, 95% CI: 1.38 to 6.96, P = 0.006), poor quality of life (OR = 2.49, 95% CI: 1.24 to 4.99, P = 0.010), and age (OR = 1.07, 95% CI: 1.04 to 1.10, P < 0.001). The factor significantly associated with long sleep latency was depression symptoms (OR = 2.19, 95% CI: 1.15 to 4.16, P = 0.017). The factors significantly related to short sleep duration were depression symptoms (OR = 2.56, 95% CI: 1.31 to 5.00, P = 0.006) and age (OR = 1.05, 95% CI: 1.02 to 1.08, P = 0.002). The factor significantly related to short sleep efficiency was age (OR = 1.03, 95% CI: 1.01 to 1.06, P = 0.019).

CONCLUSION

This study found that depression symptoms, together with poor quality of life, and increasing age were associated with poor sleep quality. Symptoms of depression were related to long sleep latency and short sleep duration. The increasing age was associated with short sleep duration and low sleep efficiency.