Sleep behaviors predicted sleep disturbances among Chinese health science students: a cross-sectional study.

PURPOSE: Healthy sleep is essential for individuals' physiological and psychological health. Health science students experience a high prevalence of sleep disturbances which may be due to maladaptive behaviors. This study aimed to examine the associations of sleep behaviors including sleep hygiene and bedtime procrastination with the associations of sleep disturbances (e.g., poor sleep quality, insomnia, and short sleep). METHODS: This cross-sectional study included health science students from a medical university in Shanghai, China. Sleep disturbances included poor sleep quality, insomnia, and short sleep. They were measured by the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and one question "How many hours of sleep did you usually get during the past week?", respectively. Sleep behaviors included sleep hygiene and bedtime procrastination measured by the Sleep Hygiene Index (SHI) and Bedtime Procrastination Scale (BPS), respectively. Logistic regression was performed while controlling for potential confounders. RESULTS: A total of 464 health science students participated. Poorer overall sleep hygiene and more bedtime procrastination were independently associated with higher odds of poor sleep quality (OR=1.065, 95% CI 1.028-1.103; OR=1.040, 95% CI 1.006-1.075, respectively) and insomnia (OR=1.059, 95% CI 1.018-1.101; OR=1.093, 95% CI 1.049-1.139, respectively). More bedtime procrastination was associated with higher odds of short sleep (OR=1.148, 95% CI 1.093-1.206). Commonly reported specific sleep behaviors, such as "Going to bed later than intended", "Doing other things than sleep at bedtime", and "Easily stopping what I am doing at bedtime", were also related to higher odds of sleep disturbances. CONCLUSIONS: Sleep hygiene and bedtime procrastination were strong predictors of sleep disturbances. Tailored interventions targeting specific sleep behaviors are warranted to clarify their effect on sleep disturbances.

Psychosocial interventions for teenagers with adolescent idiopathic scoliosis: A systematic literature review.

OBJECTIVES: Psychosocial interventions can improve teenagers' self-esteem, mental health and bracing compliance. There is a need to compile available evidence of psychosocial care in adolescent idiopathic scoliosis. This systematic review aimed to identify and evaluate the effects of existing interventional studies of psychosocial care for the adolescent idiopathic scoliosis population. METHODS: A comprehensive search of relevant literature published from the inception to March 2023 was conducted using nine databases. A google scholar search was performed on 1 July 2023, to update the searching results. Two reviewers independently assessed the methodological quality and extracted details of the included studies. Given the heterogeneity of the selected articles, the findings were synthesized narratively without conducting a meta-analysis. RESULTS: Four randomized controlled trials reported in six articles involving 385 teenagers were included. The interventions appeared acceptable with high recruitment rates and low dropout rates reported. Psychosocial interventions had shown significant positive effects on postoperative pain, engagement in daily and social activities as well as brace use, coping abilities and anxiety. CONCLUSION: Psychosocial interventions are generally feasible and acceptable among the adolescent idiopathic scoliosis population and have produced positive effects on a variety of physical and psychosocial outcomes. Study findings need to be interpreted with caution due to the limited number of available articles and the methodological concerns of the reviewed articles. PRACTICAL IMPLICATIONS: Well-designed clinical trials are warranted in people from cultural backgrounds to develop and implement effective psychosocial interventions for teenagers with adolescent idiopathic scoliosis, not only for those at the post-surgery stage but also for those receiving conservative treatment.

Maternal perception of child weight and concern about child overweight mediates the relationship between child weight and feeding practices.

OBJECTIVE: To examine the mediating effects of maternal perception of child weight (weight perception) and concern about overweight (weight concern) on the paths between child weight and maternal feeding practices. SETTING: Pudong District, Shanghai, China. PARTICIPANTS: A convenience sample of 1164 mothers who were primary caregivers of preschool children. RESULTS: Sixty per cent of the mothers perceived their overweight/obese children as normal weight or even underweight. The disagreement between actual child weight and maternal weight perception was statistically significant (Kappa = 0·212, P < 0·001). Structural equation modelling indicated that weight perception fully mediated the relationship between child BMI Z-scores and pressure to eat. Weight concern fully mediated the relationships between child BMI Z-scores and the other three feeding practices. The serial mediating effects of weight perception and concern were statistically significant for the paths between child BMI Z-score and monitoring (ß = 0·035, P < 0·001), restriction (ß = 0·022, P < 0·001), and food as a reward (ß = -0·017, P < 0·05). CONCLUSION: Child weight may influence maternal feeding practices through weight perception and concern. Thus, interventions are needed to increase the accuracy of weight perception, which may influence several maternal feeding practices and thereby contribute to child health.

Independent associations between sleep duration, gamma gap, and cognitive function among older adults: Results from the NHANES 2013-2014.

This study examined whether gamma gap mediated the association between sleep and cognitive function. Data from NHANES 2013-2014 were used. Three tests were used to measure cognitive function. Sleep was measured by three single questions. Gamma gap was calculated by subtracting albumin from total protein. Participants were 1392 older adults (53.2% females). Approximately 12% reported being told having sleep disorder, 1/3 reported having trouble sleeping, 25.9% had short sleep, and 12.5% had long sleep. Sleep disorders and sleep quality were not associated with cognitive function. Long sleep duration was an independent risk factor of reduced cognitive function on immediate recall, delayed recall, and executive function. Elevated gamma gap was also an independent risk factor of lower cognitive function. In a representative sample of older adults in the US, gamma gap and sleep duration were independent predictors of cognitive function. This study highlights the need for sleep assessment among older adults.

Type 1 Diabetes, Sleep, and Hypoglycemia.

PURPOSE OF REVIEW: To review the relationship between sleep and hypoglycemia, sleep characteristics, and their associations with glycemic control in persons with type 1 diabetes (T1D). The effects of sleep interventions and diabetes technology on sleep are summarized. RECENT FINDINGS: Nocturnal hypoglycemia affects objective and subjective sleep quality and is related to behavioral, psychological, and physiological factors. Sleep disturbances are common, including inadequate sleep, impaired sleep efficiency, poor subjective satisfaction, irregular timing, increased daytime sleepiness, and sleep apnea. Some have a bidirectional relationship with glycemic control. Preliminary evidence supports sleep interventions (e.g., sleep extension and sleep coach) in improving sleep and glycemic control, while diabetes technology use could potentially improve sleep. Hypoglycemia and sleep disturbances are common among persons with T1D. There is a need to develop sleep promotion programs and test their effects on sleep, glucose, and related outcomes (e.g., self-care, psychological health).

Predictors of Self-Efficacy Among People With Spinal Cord Injury During Inpatient Rehabilitation: A Cross-Sectional Study.

PURPOSE: This study aimed to investigate the predictors of self-efficacy among Chinese people with spinal cord injury (SCI). DESIGN: A cross-sectional, descriptive, correlational design was adopted. METHODS: 121 participants were recruited from two rehabilitation hospitals in Shaanxi, China, from August 2016 to June 2017. The Moorong Self-Efficacy Scale was used to assess participants' self-efficacy levels. Participants' sociodemographic or clinical characteristics, functional independence, coping ability (measured using the Brief Coping Orientations to Problems Experienced Inventory), and social support (measured using the Six-item Social Support Questionnaire) were assessed as potential predictors of self-efficacy. A multiple linear regression model was conducted to identify the factors predicting self-efficacy score. RESULTS: The mean age of the participants was 41 (SD 11.9) years and 90% were male. Participants' mean self-efficacy score was 53.9 (SD 15.7). Multiple linear regression results indicated that injury type (i.e., paraplegia or tetraplegia; ß = 0.290, p < .001) and adaptive coping (ß = 0.561, p < .001) were significant predictors, accounting for 62% of the variance in self-efficacy scores. CONCLUSIONS: Our findings imply that psychosocial interventions that target enhancing various adaptive coping strategies could have positive effects on self-efficacy in people with SCI. CLINICAL RELEVANCE: Injury type and adaptive coping ability are two key factors related to patients' self-efficacy post-SCI. Psychosocial interventions that target enhancing various adaptive coping strategies could have positive effects on self-efficacy in people with SCI.

Incidence and risk factors of symptomatic thrombosis related to peripherally inserted central catheter in patients with lung cancer.

AIMS: To determine the incidence and risk factors associated with peripherally inserted central catheter-related thrombosis (PICC-RT) in patients with lung cancer. DESIGN: A retrospective cross-sectional design. METHODS: Patients with lung cancer receiving PICC insertion during 1 March 2014-31 May 2019 at a tertiary hospital in Shanghai, China were enrolled (N = 748). Symptomatic PICC-RT was confirmed by Doppler ultrasonography in the presence of clinical symptoms and signs. Univariate and multivariate logistic regression analyses were performed to identify risk factors of symptomatic PICC-RT. RESULTS: Among the patients (mean age, 60.7 years; males, 67.1%), 55 (7.35%) had symptomatic PICC-RT. Based on the multivariate analysis, history of smoking [OR 2.49 (1.13-5.46), p < .05], use of Carboplatin [OR 2.23 (1.19-4.17), p < .05] or Docetaxel [OR 7.23 (1.65-31.56), p < .05], PICC size [OR 3.52 (1.78-6.99), p < .001], and level of D-dimer [OR 5.32 (2.39-11.83), p < .001] were significant risk factors of PICC-RT. CONCLUSION: Several modifiable factors (e.g., PICC size and level of D-dimer) were related to PICC-RT. In the future, prospective studies are warranted to examine whether those factors could increase the risk of PICC-RT. Meanwhile, healthcare professionals are recommended to perform a comprehensive assessment of the patients receiving PICC insertion. Close attention should be paid to those at risk for PICC-RT. IMPACT: Identification of risk factors associated with PICC-RT is an important step towards individualizing the care plan for patients receiving PICC. Our findings provided evidence for the management of PICC-RT in patients with lung cancer. In clinical practice, nurses could deliver appropriate interventions against modifiable risk factors to reduce the risk of PICC-RT.

Subjective cognitive decline in diabetes: Associations with psychological, sleep, and diabetes-related factors.

AIMS: To determine whether psychological, sleep, and diabetes-related factors were associated with subjective cognitive decline (SCD) in adults with type 2 diabetes (T2D). DESIGN: A secondary analysis with a cross-sectional, correlational design. METHODS: Data from two parent studies were combined. A total of 105 adults with diabetes were recruited from a Midwestern city in the United States from September 2013-March 2014 and September 2016-September 2017. Subjective cognitive decline was measured with the psychological-cognitive symptom subscale of the Diabetes Symptom Checklist-Revised. Psychological factors (diabetes distress, fatigue, and depressive symptoms) and sleep were measured using the Diabetes Distress Scale and Patient-Reported Outcomes Measurement Information System. Diabetes-related factors were measured with body mass index and glycaemia control. Quantile regression was used to examine the associations. RESULTS/FINDINGS: The mean age of the participants was 58.10 (SD 7.92) years and 58.1% were women. The participants' mean psychological-cognitive symptom score was 1.41 (SD 1.13). After controlling for age and gender, sleep disturbance, sleep-related impairment, and body mass index were associated with SCD in lower cognitive symptom quantile groups (5th to 30th percentiles). In contrast, fatigue and depressive symptoms were more strongly associated with SCD in higher quantile groups (70th to 95th percentiles). CONCLUSION: In adults with T2D, SCD was differentially associated with psychological, sleep, and diabetes-related factors depending on cognitive symptom percentiles. Adults with T2D require regular screening for SCD. If they complain of cognitive symptoms at clinical visits, different underlying factors should be assessed according to their symptom severity. IMPACT: Findings from this study provided evidence for early identification of SCD and its influencing factors, which may help to develop nursing interventions to recognize and/or delay the onset of cognitive impairment in adults with T2D.

Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data.

Traffic speed prediction plays an important role in intelligent transportation systems, and many approaches have been proposed over recent decades. In recent years, methods using graph convolutional networks (GCNs) have been more promising, which can extract the spatiality of traffic networks and achieve a better prediction performance than others. However, these methods only use inaccurate historical data of traffic speed to forecast, which decreases the prediction accuracy to a certain degree. Moreover, they ignore the influence of dynamic traffic on spatial relationships and merely consider the static spatial dependency. In this paper, we present a novel graph convolutional network model called FSTGCN to solve these problems, where the model adopts the full convolutional structure and avoids repeated iterations. Specifically, because traffic flow has a mapping relationship with traffic speed and its values are more exact, we fused historical traffic flow data into the forecasting model in order to reduce the prediction error. Meanwhile, we analyzed the covariance relationship of the traffic flow between road segments and designed the dynamic adjacency matrix, which can capture the dynamic spatial correlation of the traffic network. Lastly, we conducted experiments on two real-world datasets and prove that our model can outperform state-of-the-art traffic speed prediction.

Fatigue and Sleep Quality Predict Eating Behavior Among People With Type 2 Diabetes.

BACKGROUND: People with Type 2 diabetes frequently report increased fatigue and sleep disturbance. These symptoms might put them at a higher risk for unhealthy eating behavior-detrimental to diabetes control. OBJECTIVES: The aim of the study was to examine the effect of fatigue and sleep on eating behavior in people with Type 2 diabetes by using a daily diary approach. METHODS: Data from 56 patients were collected during a baseline interview and an 8-day ambulatory assessment period in the free-living setting. Each day, participants completed one diary upon awakening to assess their sleep duration and sleep quality during the previous night and morning fatigue. They also completed one diary before going to bed to assess their eating behavior during the day (e.g., uncontrolled eating, cognitive restraint, emotional eating, and snacking). Data from 7 days were analyzed using generalized estimating equations. RESULTS: During the 7 days, controlling for age, gender, and body mass index, between-person fatigue was a significant predictor of uncontrolled eating, emotional eating, and snacking. Similarly, controlling for the covariates, between-person sleep quality was a significant predictor of uncontrolled eating and emotional eating. No associations were found between sleep duration and eating behavior. DISCUSSIONS: At the between-person level, reporting higher fatigue or poorer sleep quality was associated with higher levels of unhealthy eating behavior. Patients with Type 2 diabetes with high fatigue or poor sleep quality may require additional attention to support their healthy eating.

Intra-individual variability in sleep is related to glycaemic control in adults with type 2 diabetes.

AIMS: To examine whether there were significant differences in sleep during weekdays/weekends and whether the intra-individual variability in sleep was related to glycaemic control in patients with type 2 diabetes. DESIGN: Correlational, longitudinal design. METHODS: Data were collected between February 2017-January 2018. In all, 56 adults with type 2 diabetes were included (60.7 years, 55.4% female). Sleep was measured using the Consensus Sleep Diary over 8 days. Intra-individual variability of sleep was calculated as the standard deviation of sleep variables. Standard deviations of sleep duration, sleep efficiency, sleep quality, and mid-sleep time were obtained. Glycaemic control was measured by haemoglobin A1C. Paired t test and multiple regression analysis were used. RESULTS: Overall, there were no differences in sleep parameters between weekdays and weekends. Participants slept 20 min more over the weekends than during weekdays. The mid-sleep time during weekends was about 35 min later than during weekdays. Intra-individual variability of sleep duration and mid-sleep ranged from 27.6-167.4 min and 13-137 min, respectively. Controlling for covariates (e.g., distress, symptoms, and self-care), larger variability in sleep duration, and mid-sleep were significantly related to higher A1C levels. CONCLUSION: Diabetes educators are recommended to include the assessment of intra-individual variability in sleep. Maintaining a regular sleep habit (e.g., sleep duration and sleep timing) should be highlighted during patient education. IMPACT: Intra-individual variability in sleep is an alternative dimension for sleep assessment. This study examined whether intra-individual variability in sleep was related to glycaemic control in an older sample of type 2 diabetes patients using a sleep diary across 8 days. This sample had a similar sleep pattern during weekdays and weekends. Larger intra-individual variabilities in sleep duration and mid-sleep time were independently related to worse glycaemic control. Diabetes patients are recommended to maintain a regular sleep routine.

Using Research Electronic Data Capture for Longitudinal Assessment Among Older Adults With Diabetes Enhances Real-Time Data Collection.

The aim of this study was to provide evidence on the application of Research Electronic Data Capture for collecting repeated data during a 7-day period among older adults. Fifty-seven adults (≥50 years) with type 2 diabetes were recruited. Participants completed one sleep diary upon awaking and one self-care diary before going to bed each day for 7 days. The diaries were administered via the Research Electronic Data Capture Web-based system and were completed via participants' own electronic devices. Objective compliance rate, time used to complete each diary, and participant experience were described. Approximately 80% (n = 45) of the participants used Research Electronic Data Capture. Among these participants, the noncompliance rate ranged between 0% and 8.9% for the sleep diary and 0% and 13.1% for the self-care diary. Participants spent 4.2 to 8.7 minutes on the sleep diary and 3.5 to 7.1 minutes on the self-care diary. It took the participants a longer time to complete the diaries during the first day than during the following 6 days. Few participants reported technical issues or felt inconvenient or stressful with completing the Research Electronic Data Capture diaries. Overall, the compliance rates were high. Completing the diaries was not time-consuming and participants were largely satisfied with the Research Electronic Data Capture data collection. Research Electronic Data Capture has aided the longitudinal data collection. With adequate training, Research Electronic Data Capture is an efficient tool to collect repeated data among older adults and thus is recommended for future research.

The prevalence of obstructive sleep apnea and its association with pregnancy-related health outcomes: a systematic review and meta-analysis.

PURPOSE: Obstructive sleep apnea (OSA) is common during pregnancy. Nevertheless, prevalence estimates of OSA have varied widely due to variabilities in the assessment methods. This meta-analysis aimed to examine the prevalence of objectively assessed OSA and its association with pregnancy-related health outcomes in pregnant women. METHODS: This review was developed following the PRISMA guideline. A systematic search was conducted in major electronic databases to identify studies conducted from inception to January 2018. The pooled estimates with 95% confidence interval were calculated using the inverse variance method. Forest plots were used to present the results of individual studies and the pooled effect sizes. RESULTS: Thirty-three studies were included. The mean gestational age was between 21.2 (8.5) and 37.3 (2.1) weeks. The pooled worldwide prevalence of OSA was 15% (95% CI 12-18%). The prevalence estimates ranged from 5% in the European Region to 20% in the Region of Americas. The prevalence estimates for different trimesters ranged from 15 to 19%. OSA was related to an increased risk for gestational hypertension, gestational diabetes, pre-eclampsia, C-section, postoperative wound complication, and pulmonary edema. The pooled adjusted odds ratio (aOR) values were 1.97, 1.55, 2.35, 1.42, 1.87, and 6.35, respectively. OSA was also related to an increased risk for preterm birth (aOR = 1.62) and neonatal intensive care unit admission (aOR = 1.28). CONCLUSIONS: OSA is a common health issue in pregnant women. OSA is associated with various pregnancy-related health outcomes. Routine screening, early diagnosis, and effective treatment of OSA are recommended in pregnant women, particularly during mid and late pregnancy.

Obstructive sleep apnea in pregnancy: performance of a rapid screening tool.

PURPOSE: The Sleep Apnea Symptom Score (SASS) has been commonly used to assess obstructive sleep apnea (OSA). The aim of this study was to examine the psychometric properties of the SASS and the predictive value of SASS incorporating bedpartner-reported information in identifying OSA in pregnant women. METHODS: A cohort of healthy pregnant women completed the SASS and Pittsburgh Sleep Quality Index. Participants underwent overnight laboratory polysomnography (PSG) monitoring. Reliability and validity of the SASS were evaluated. A multivariable predictive model, incorporating the SASS score along with BMI, age, and bedpartner-reported information, was developed to assess the risk for OSA (AHI ≥ 5 events/h). Receiver operating characteristic curves for OSA were constructed to evaluate the sensitivity and specificity of the predictive model. RESULTS: A total of 126 and 105 participants completed the PSG during the first and third trimester, respectively. The SASS demonstrated adequate validity and acceptable reliability (Cronbach's α = 0.72 during the third trimester). When the combined model consisting of SASS, age, BMI, and bedpartner-reported information was used, the area under the curve for AHI ≥ 5 for the first and third trimester was 0.781 (95%CI 0.648, 0.914) and 0.842 (95%CI 0.732, 0.952), respectively; the sensitivity/specificity was 76.9%/72.4% and 82.4%/78.0%, respectively. CONCLUSIONS: The SASS alone has acceptable reliability and validity, but limited predictive values. A new tool, combining the SASS and other patient characteristics (i.e., age, BMI, and bedpartner-reported snoring and breathing pauses), demonstrated improved sensitivity and specificity, and thus may have greater utility in clinical practice for predicting OSA in pregnant women.

Associations between fatigue, sleep disturbance and eating style in adults with type 2 diabetes: A correlational study.

AIMS AND OBJECTIVES: To test the hypothesis that fatigue and sleep disturbance account for a significant amount of variation in eating styles among people with type 2 diabetes (T2D). BACKGROUND: Healthy eating is an important component of diabetes self-care but remains a major challenge. In people with T2D, symptoms of fatigue and sleep disturbance are pervasive. However, there is limited understanding of whether fatigue and sleep disturbance are associated with eating style in people with T2D. DESIGN: Correlational design. METHODS: This study was reported following the STROBE checklist. Data were collected between February 2017 and January 2018. A convenience sample of 64 T2D adults completed the Three-Factor Eating Questionnaire-R18V2 to measure eating style (e.g., emotional eating, cognitive restraint and uncontrolled eating). Diabetes distress, fatigue and sleep disturbance were measured using validated questionnaires. Hierarchical regression analyses were performed. RESULTS: Only age was a significant predictor (ß = -0.344) of cognitive restraint. Participant demographics, psychological factor and health-related factors contribute significantly to the model predicting emotional eating, but only diabetes distress was a significant predictor (ß = 0.433). Introducing fatigue and poor sleep quality explained an additional 12.0% of the variation in emotional eating. The final model explained 24.9% of the variation in emotional eating; both diabetes distress (ß = 0.294) and fatigue (ß = 0.360) were significant predictors. CONCLUSION: There is a strong, independent relationship of fatigue and diabetes distress with emotional eating T2D patients. The effect of improving fatigue and diabetes distress on eating style should be explored. RELEVANCE TO CLINICAL PRACTICE: In clinical practice, nurses are recommended to include a detailed assessment of fatigue and distress in patients with diabetes. Additional to the conventional nutrition therapy focusing on diet advice, eating style should also be incorporated in diet education by diabetes nurses.

Development of an in vivo mouse model of discogenic low back pain.

Discogenic low back pain (DLBP) is extremely common and costly. Effective treatments are lacking due to DLBP's unknown pathogenesis. Currently, there are no in vivo mouse models of DLBP, which restricts research in this field. The aim of this study was to establish a reliable DLBP model in mouse that captures the pathological changes in the disc and allows longitudinal pain testing. The model was generated by puncturing the mouse lumbar discs (L4/5, L5/6, and L6/S1) and removing the nucleus pulposus using a microscalpel under the microscope. Histology, molecular pathways, and pain-related behaviors were examined. Over 12 weeks post-surgery, animals displayed the mechanical, heat, and cold hyperalgesia along with decreased burrowing and rearing. Histology showed progressive disc degeneration with loss of disc height, nucleus pulposus reduction, proteoglycan depletion, and annular fibrotic disorganization. Immunohistochemistry revealed a substantial increase in inflammatory mediators at 2 and 4 weeks. Nerve growth factor was upregulated from 2 weeks to the end of the experiment. Nerve fiber ingrowth was induced in the injured discs after 4 weeks. Disc-puncture also produced an upregulation of neuropeptides in dorsal root ganglia neurons and an activation of glial cells in the spinal cord dorsal horn. These findings indicate that the cellular and structural changes in discs, as well as peripheral and central nervous system plasticity, paralleled persistent, and robust behavioral pain responses. Therefore, this mouse DLBP model could be used to investigate mechanisms underlying discogenic pain, thereby facilitating effective drug screening and development of treatments for DLBP.

Effect of continuous positive airway pressure on glucose metabolism in adults with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials.

Obstructive sleep apnea (OSA) has many serious consequences, and one of these may be the exacerbation of type 2 diabetes mellitus (T2DM). Reports on the effect of continuous positive airway pressure (CPAP) on glucose metabolism in people with T2DM and OSA are conflicting. Therefore, the purpose of this review was to examine the effect of CPAP treatment on glucose metabolism by synthesizing findings from randomized controlled trials. The PRISMA review protocol was developed and registered in PROSPERO. A systematic search of PubMed, CINAHL, Embase, Web of Science, PsycInfo, and Cochrane was conducted from inception to March 2017. The Cochrane risk of bias tool was used to assess the study quality. Review Manager (v5.2) was used for the meta-analyses, and the standardized mean difference was calculated. Six studies consisting of 496 participants were included in this review. The meta-analyses indicated that CPAP treatment did not have significant impact on glucose metabolism measured by A1C (mean difference = 0.05, 95% CI - 0.14 to 0.24, P = 0.61), fasting insulin level (mean difference = - 2.34, 95% CI - 8.19 to 3.51, P = 0.43), and fasting glucose (mean difference = - 0.05, 95% CI - 0.52 to 0.42, P = 0.84). As expected, CPAP treatment can improve daytime sleepiness (mean difference = - 2.68, 95% CI - 3.91 to - 1.54, P < 0.001). Findings of this meta-analysis do not substantiate a positive effect of CPAP on glucose metabolism in people with T2DM and coexisting OSA. Future large-scale clinical trials with a longer treatment duration and better CPAP compliance are warranted.

Relationship and variation of diabetes related symptoms, sleep disturbance and sleep-related impairment in adults with type 2 diabetes.

AIM: The objective of this study was to examine whether diabetes-related symptoms (e.g. fatigue, neuropathic pain, diabetes distress and depressive symptoms) were related to sleep disturbance and sleep-related impairment in adults with type 2 diabetes while controlling for potential covariates. BACKGROUND: In people with type 2 diabetes, sleep disturbance and sleep-related impairment are common and likely associated with diabetes-related symptoms. However, limited research has investigated the predictive ability of diabetes-related symptoms on sleep. DESIGN: A correlational, cross-sectional design was used. METHODS: Data were collected at a large university in the Midwestern United States from September 2013-March 2014. Multiple linear regression analyses were used to examine the relationship of diabetes-related symptoms (fatigue, neuropathic pain, distress and depressive symptoms) to sleep disturbance and sleep-related impairment. The instruments included Patient-Reported Outcomes Measurement Information System instruments, Diabetes Symptom Checklist and Diabetes Distress Scale. FINDINGS: In this study of adults with type 2 diabetes (N = 90; 52.2% female, mean age 57.4 years), gender, A1C, neuropathic pain and fatigue were significantly related to sleep disturbance when age, diabetes duration, depressive symptoms and distress were controlled. Those variables collectively explained 52% of the variation in sleep disturbance. Fatigue was significantly associated with sleep-related impairment when the same covariates were controlled. CONCLUSION: Findings suggested that diabetes-related symptoms, including neuropathic pain and fatigue, are strongly related to sleep disturbance and sleep-related impairment in adults with type 2 diabetes, underscoring the need to include detailed assessments of neuropathic pain and fatigue when evaluating sleep.

Sleep disturbance in people with diabetes: A concept analysis.

AIMS AND OBJECTIVES: To clarify the meaning of sleep disturbance in people with diabetes and examine its antecedents, attributes and consequences through concept analysis. BACKGROUND: Sleep is crucial for health, and people with diabetes are frequently beset with disturbances in their sleep. The concept of sleep disturbance in people with diabetes has not been clearly defined. The inconsistent use of sleep disturbance has created confusion and impeded our understanding of the sleep in people with diabetes. This analysis will provide a conceptual foundation of sleep disturbance in diabetes, thereby facilitating more effective means for assessment and treatment. DESIGN: Concept analysis. METHODS: A systematic search without time restriction on the publication year was carried out using PubMed, CINAHL, PsycINFO, Web of Science and ProQuest Dissertations and Theses. Rodgers's method of evolutionary concept analysis guided the analysis. Inductive thematic analysis was conducted to identify the attributes, antecedents and consequences. RESULTS: Based on the 26 eligible studies, two major attributes are that sleep disturbance is a symptom and is characterised by impaired sleep quality and/or abnormal sleep duration. Two antecedents are diabetes-related physiological change and psychological well-being. Sleep disturbance can result in impaired daytime functioning, glucose regulation and quality of life. CONCLUSIONS: Defining the concept of sleep disturbance in people with diabetes facilitates consistent use and effective communication in both practice and research. Sleep disturbance in people with diabetes is a complex symptom that includes impaired sleep quality and/or abnormal sleep duration. This paper contributes to the current knowledge of sleep in people with diabetes. Future research on antecedents and consequences of sleep disturbance is necessary for further clarifications. RELEVANCE TO CLINICAL PRACTICE: Findings from this paper underscore the need for nursing education, clinical assessment and effective management of sleep disturbance in people with diabetes.

The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review.

AIMS AND OBJECTIVES: To explore and synthesise current research to assess the state of science about the relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes. BACKGROUND: Sleep disturbance is suggested a risk factor for type 2 diabetes. Diabetes alone is a leading cause of death, but when coupled with sleep disturbance poses additional health risks. However, little is known about the relationship between sleep disturbance and glycaemic control in people with overt diabetes. DESIGN: An integrative review. METHODS: Whittemore and Knafl's methodology guided this integrative review. Original studies published before October 2016 were identified through systematic searches of seven databases using terms: diabet*; sleep or insomnia; glycem* or glucose or A1C or HbA1c or sugar; and their combinations. The matrix and narrative synthesis were employed to organise and synthesise the findings, respectively. The Crowe Critical Appraisal Tool was used to evaluate the study quality. RESULTS: A total of 26 studies were identified; 17 of which reported significant relationships between sleep measures and glycaemic control. In 13 studies, sleep duration was associated with glycaemic control in both linear (n = 2) and nonlinear (n = 3) relationships; however, eight studies reported no significant relationships. Sleep quality was significantly related to glycaemic control in 14 of 22 studies. Nine studies found no relationship between any measure of sleep and glycaemic control. CONCLUSIONS: There is strong evidence supporting the relationship between sleep quality and glycaemic control but further examination of the relationship between sleep duration and glycaemic control is warranted. Sleep disturbance, particularly impaired sleep quality, could potentially influence glycaemic control in adults with type 2 diabetes. RELEVANCE TO CLINICAL PRACTICE: Nurses who treat patients with diabetes should include assessment of sleep, education for healthy sleep, and referral for treatment of sleep disturbance in order to maximise the potential for achieving good glycaemic control.