Sleep disturbance among Type II diabetic patients and influence of glycemic control (Preprint)

2021 ◽  
Author(s):  
Turk Al Nefaie ◽  
Ghaliah Alnefaie ◽  
Shahad Alqahtani ◽  
Sarah Alqasem ◽  
Albatoul Althobaiti ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Sleep Quality ◽  
Significant Risk ◽  
Military Hospital ◽  
Considerable Proportion ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Increased Risk

BACKGROUND Experimental and observational studies have indicated that poor sleep quantity and quality are associated with an increased risk of chronic diseases including insulin resistance. Additionally, sleep disorders has been reported aggravating diabetes due to decreased glucose metabolism and elevated cortisol levels as well as it can increases the risk for the development of diabetes. OBJECTIVE To assess the sleep quality and its determinants and impact on glycemic control of type II diabetic patients. METHODS A cross sectional study was adopted among a representative sample of patients diagnosed with type II Diabetes seen in Prince Mansoure Military Hospital Diabetic Center in Taif throughout the study period (March-July 2021). A self-administered questionnaire was utilized in the present study including 5 main parts: demographic data of the patients, medical and social history, the Pittsburgh Sleep Quality Index (PSQI) to assess the subjective sleep quality, weight and height measurements and the most recent glycated hemoglobin (HbA1c) level. RESULTS The study included 270 type 2 diabetic patients out of a targeted 282 with a response rate of 95.7%. Most of them aged either between 51 and 60 years (34.8%) or over 60 years (42%). Females represent 63% of them. Majority of patients (87.8%) had HbA1c ≥7%, indicating uncontrolled blood glucose level. Overall, poor sleep quality, based on PSQI was observed among 41.1% of type II diabetic patients. Results of multivariate logistic regression analysis revealed that compared to patients whose income was lower than 5000 SR/month, those with income of 50001-1000 and >15000 SR/month were at lower significant risk for having poor sleep (Adjusted odds ratio “AOR” =0.44, 95% confidence interval “CI” =0.22-0.86, p=0.016 and AOR=0.21, 95%CI=0.06-0.77, p=0.019; respectively). Opposed to diabetic patients with duration of less than one year of DM, those with duration exceeded 10 years were at almost 6-folds higher risk for poor sleep quality (AOR=6.39, 95%CI=1.12-36.43, p=0.037). Patients with history of social stressors were at higher significant risk for poor sleep quality compared to those without such history (AOR=4.99, 95%CI=1.71-14.67, p=0.003). CONCLUSIONS A considerable proportion of type II diabetic patients attending the diabetic center, Prince Manasour Military hospital in Taif, Kingdom of Saudi Arabia expressed poor sleep quality. However, there was no association between glycemic control level and poor sleep quality.

scholarly journals The relationship between Fear of Hypoglycemia and Sleep Quality among type II Diabetic Patients

2019 ◽  
Author(s):  
Leili Yekefallah ◽  
Farzaneh Talebi ◽  
Ali Razaghpoor ◽  
Mohammmad Hossein Mafi
Keyword(s):  
Sleep Quality ◽  
Significant Relationship ◽  
Diabetic Patients ◽  
Poor Sleep ◽  
Type Ii ◽  
Poor Sleep Quality ◽  
Fear Of Hypoglycemia ◽  
The Mean ◽  
The Relationship

Abstract Introduction and Objective Fear of hypoglycemia can result in anxiety, stress, anger, depression and severe avoidance behaviors that it affects the sleep quality of diabetic patients. Therefore, the present study was conducted with the aim of investigating the relationship between fear of hypoglycemia and sleep quality among type II diabetic patients. Methods The present cross-sectional study was conducted on 400 type II diabetic patients referred to endocrinology clinic of Velayat Hospital and Boali Hospital in Qazvin, in 2018. Data were collected using a checklist for demographic variables, the Fear of Hypoglycemia Survey (FHS-W), and the Pittsburgh sleep quality index (PSQI). Descriptive statistics and Spearman correlation test were performed for data analysis using SPSS v24. Results In this study, the mean age of diabetic patients was 55.75±10.31. The majority of the participants were female (n=299, 74.8%) and were treated with oral anti-diabetic drugs (n=174, 43.5%). The mean score of sleep quality in patients was 8.98±3.64 and the fear of hypoglycemia was 21.27±11.92. The results of this study showed that there was a significant relationship between the fear of hypoglycemia and the poor sleep quality among patients (p<0.001, r=0.305). Conclusion The fear of hypoglycemia has a direct and significant relationship with poor sleep quality in diabetic patients; so that this fear reduces the quality of sleep in diabetic patients. Therefore, in order to provide adequate sleep to prevent inappropriate sleep complications, great attention should be paid to the issue of fear of hypoglycemia, and consider some actions to reduce this fear.

scholarly journals The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

scholarly journals Association between maternal sleep duration and quality, and the risk of preterm birth: a systematic review and meta-analysis of observational studies

2020 ◽  
Author(s):  
ling wang ◽  
Feng Jin
Keyword(s):  
Systematic Review ◽  
Preterm Birth ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Meta Analysis ◽  
Controlled Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk ◽  
Study Heterogeneity

Abstract Background : To assess the association of sleep duration and quality with the risk of preterm birth. Methods : Relevant studies were retrieved from the PubMed and Web of Science databases up to September 30, 2018. The reference lists of the retrieved articles were reviewed. Random effects models were applied to estimate summarized relative risks (RRs) and 95% confidence intervals (CIs). Results : Ten identified studies (nine cohort studies and one case-controlled study) examined the associations of sleep duration and quality with the risk of preterm birth. As compared with women with the longest sleep duration, the summary RR was 1.23 (95% CI = 1.01–1.50) for women with the shortest sleep duration, with moderate between-study heterogeneity ( I 2 = 57.4%). Additionally, as compared with women with good sleep quality, the summary RR was 1.54 (95% CI = 1.18–2.01) for women with poor sleep quality (Pittsburgh Sleep Quality Index > 5), with high between-study heterogeneity ( I 2 = 76.7%). Funnel plots as well as the Egger’s and Begg’s tests revealed no evidence of publication bias. Conclusions : This systematic review and meta-analysis revealed that short sleep duration and poor sleep quality may be associated with an increased risk of preterm birth. Further subgroup analyses are warranted to test the robustness of these findings as well as to identify potential sources of heterogeneity.

scholarly journals Acne Severity and Sleep Quality in Adults

2019 ◽  
Vol 1 (4) ◽  
pp. 510-516 ◽  
Author(s):  
Kory P. Schrom ◽  
Sayeeda Ahsanuddin ◽  
Michelle Baechtold ◽  
Raghav Tripathi ◽  
Amy Ramser ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk ◽  
Patient Health ◽  
The Usa ◽  
Grading Scale ◽  
Psychiatric Conditions

Poor sleep quality is extremely prevalent, with about one third of adults in the USA obtaining less than the recommended amount of sleep. In addition, poor sleep quality has been linked to an increased risk of many conditions, including diabetes, hypertension, psychiatric conditions, and overall all-cause mortality. Research has shown that sleep disturbance does impact skin disease, although many details of this relationship are still unclear. The goal of this study is to determine if there is a relationship between acne severity and sleep quality in adults. Forty subjects with acne were recruited from dermatology clinics in Cleveland, OH, to participate in this study. Acne severity was assessed using the Global Acne Grading Scale (GAGS). To assess sleep quality, subjects completed the Pittsburgh Sleep Quality Index (PSQI) and completed a seven-day sleep journal. Subjects also completed the Dermatology Life Quality Index (DLQI), the Patient Health Questionnaire-2 (PHQ-2), and provided information about current and past acne treatments as well as their opinion regarding their own acne severity and exacerbating factors. Our findings support the hypothesis that there is a potential relationship between sleep quality and acne.

scholarly journals FREQUENCY AND CORRELATES OF POOR SLEEP QUALITY AMONG PATIENTS OF PARKINSON’S DISEASE

2020 ◽  
Vol 70 (6) ◽  
pp. 1640-44
Author(s):  
Syed Sakhawat Kazmi ◽  
Zahid Hassan ◽  
Waseem Alamgir ◽  
Asif Hashmat ◽  
Muhammad Ali Yousaf ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Military Hospital ◽  
Poor Sleep ◽  
Motor Disorder ◽  
Poor Sleep Quality ◽  
Duration Of Illness

Objective: To determine the frequency of poor sleep quality among the patients of Parkinson’s disease (PD) and analyze its relationship with the socio-demographic factors.Study Design: Correlational study. Place and Duration of Study: Pak Emirates Military Hospital Rawalpindi, from Jan 2019 to Jun 2019. Methodology: One hundred and fifty patients of Parkinson’s disease were approached to participate in this study. Pittsburgh sleep quality index (PSQI) was the psychometric tool used to assess the study parameter for the patients. Age, gender, duration of illness, poly pharmacy and tobacco smoking were corelated with presence of poor quality of sleep among the patients of Parkinson’s disease. Results: Out of 150 patients of Parkinson’s disease screened through Pittsburgh sleep quality index, 85 (56.7%)showed the presence of poor sleep quality while 65 (43.3%) had good sleep quality. Mean age of the patients was 66.2 ± 4.648 years. After applying the logistic regression, we found that increasing age and longer duration of illness had significant association with the presence of poor sleep quality among the patients of Parkinson disease. Conclusion: Previously considered a pure motor disorder, Parkinsonism has a lot of other neuro-psychiatricmanifestations as well. Poor sleep quality turned out to be one of these non-motor problems associated with this chronic debilitating illness. Increasing age and longer duration of illness among these patients emerged asindependent risk factors for poor sleep quality in Parkinsonism.

scholarly journals Effect of Electronic Device Addiction on Sleep Quality and Academic Performance Among Health Care Students: Cross-sectional Study (Preprint)

2020 ◽  
Author(s):  
Sultan Qanash ◽  
Faisal Al-Husayni ◽  
Haneen Falata ◽  
Ohud Halawani ◽  
Enas Jahra ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Odds Ratio ◽  
Electronic Device ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Health Care Students ◽  
Increased Risk

BACKGROUND Sleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns. OBJECTIVE This study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia. METHODS A descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents–short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA). RESULTS The median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score &gt;31 males and &gt;33 females) was significantly associated with poor sleep quality (PSQI &gt;5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (&lt;4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA. CONCLUSIONS Electronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA.

scholarly journals Decrease in Sleep Duration and Poor Sleep Quality over Time Is Associated with an Increased Risk of Incident Non-Alcoholic Fatty Liver Disease

2022 ◽  
Vol 12 (1) ◽  
pp. 92
Author(s):  
Yoo Jin Um ◽  
Yoosoo Chang ◽  
Hyun-Suk Jung ◽  
In Young Cho ◽  
Jun Ho Shin ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Alcoholic Fatty Liver ◽  
Increased Risk ◽  
Alcoholic Fatty Liver Disease ◽  
Good Sleep ◽  
Over Time

The impact of changes in sleep duration and sleep quality over time on the risk of non-alcoholic fatty liver disease (NAFLD) is not known. We investigated whether changes in sleep duration and in sleep quality between baseline and follow-up are associated with the risk of developing incident NAFLD. The cohort study included 86,530 Korean adults without NAFLD and with a low fibrosis score at baseline. The median follow-up was 3.6 years. Sleep duration and quality were assessed using the Pittsburgh Sleep Quality Index. Hepatic steatosis (HS) and liver fibrosis were assessed using ultrasonography and the fibrosis-4 index (FIB-4). Cox proportional hazard models were used to determine hazard ratios (HRs) and 95% confidence intervals (Cis). A total of 12,127 subjects with incident HS and 559 with incident HS plus intermediate/high FIB-4 was identified. Comparing the decrease in sleep duration of >1 h, with stable sleep duration, the multivariate-adjusted HR (95% CIs) for incident HS was 1.24 (1.15–1.35). The corresponding HRs for incident HS plus intermediate/high FIB-4 was 1.58 (1.10–2.29). Comparing persistently poor sleep quality with persistently good sleep quality, the multivariate-adjusted HR for incident HS was 1.13 (95% CI, 1.05–1.20). A decrease in sleep duration or poor sleep quality over time was associated with an increased risk of incident NAFLD, underscoring an important potential role for good sleep in preventing NAFLD risk.

scholarly journals 1077 The Association Between Sleep Problems And Risk-taking Behavior Differs Between Racial Majority And Minority Groups

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A410-A410
Author(s):  
A I Burns ◽  
A Bullock ◽  
E Taylor ◽  
M A Grandner ◽  
A Alkozei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Risk Taking ◽  
Racial Group ◽  
Poor Sleep ◽  
Functional Impairments ◽  
Poor Sleep Quality ◽  
Significant Group ◽  
Increased Risk ◽  
Risk Taking Behavior ◽  
Racial Ethnic

Abstract Introduction Individuals with Post-Traumatic Stress Disorder (PTSD) often experience poor sleep quality and elevated self-destructive behaviors. Among healthy individuals, poor sleep quality can lead to increased risk-taking behavior through decreased inhibition and/or increased willingness to take risks. However, it is unclear whether racial/ethnic background may influence this relationship, in particular among individuals with PTSD. We examined whether the relationship between sleep quality and risk propensity would differ between majority and minority racial groups in individuals with PTSD. Methods Seventy-six individuals (61.8% female; mean age=31.7, SD=8.8) with a clinical diagnosis of PTSD were administered the Functional Outcomes of Sleep Questionnaire (FOSQ) as a measure of sleep-related functional impairment of daily activities, and the Evaluation of Risk (EVAR) Scale as a measure of risk-taking propensity. Forty-seven individuals identified with the majority racial group (Caucasian) and 29 individuals identified themselves within the minority. Results There were no significant group differences for FOSQ and total EVAR risk-taking scores. However, the strength of association between measures differed significantly between groups (Z=1.95, p=.051). For the racial/ethnic majority, functional impairments due to lack of sleep were positively associated with risk-taking propensity (r=.460, p=.001); this relationship was not present for the minority group (r=.016, p=.936). Conclusion Self-reported functional impairments due to sleep loss significantly correlated with risk-taking propensity for those who identified themselves as part of the majority racial group but not for individuals who identified as part of a racial minority. Findings suggest that broad conclusions regarding the association between sleep disruption and risk-taking may not apply equally across racial/ethnic groups and such factors should be considered when evaluating studies of sleep and risk behaviors. Whether these differing effects are due to cultural factors or stable differences in biology is not known and will require additional research. Support W81XWH-14-1-0570

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