Gender Differences in the Response to Impaired Sleep in Adults with Diabetes

Sleep quality in relation to perceived psychological stress in patients with type 2 diabetes and in age- and sex-matched control individuals

AIM

To assess sleep quality in relation to perceived stress in patients with type 2 diabetes (T2DM) and age- and sex-matched controls.

METHODS

Perceived stress level and sleep quality assessed in 154 patients with T2DM (58 men, 96 women, age 58.3 ± 11.9 years), 154 matched controls (58 men, 96 women, age 56.8 ± 12.2 years) using Perceived Stress Scale and Pittsburgh Sleep Quality Index.

RESULTS

Patients with T2DM had worse subjective sleep quality (p < 0.001), sleep latency (p = 0.047) than controls. Patients with high stress level had worse subjective sleep quality (p = 0.027), higher use of sleeping medication (p = 0.023), daytime dysfunction (p < 0.001) than those with low stress level. No significant differences in sleep quality between controls with high and low perceived stress level. Perceived stress level in patients with T2DM correlated with subjective sleep quality (r = 0.260, p = 0.002), sleep duration (r = 0.228, p = 0.005), use of sleep medication (r = 0.245, p = 0.004), daytime dysfunction (r = 0.326, p < 0.001), in age- and sex-matched controls-to daytime dysfunction (r = 0.191, p = 0.037).

CONCLUSION

Sleep quality (subjective sleep quality, sleep latency) is worse in patients with type 2 diabetes than in age- and sex-matched controls. Patients with high perceived stress level have worse subjective sleep quality, higher use of sleeping medication, daytime dysfunction than patients with low perceived stress level; no significant differences in sleep quality between controls with high and low stress level. Perceived stress level in patients with type 2 diabetes is related to subjective sleep quality, sleep duration, use of sleep medication, daytime dysfunction, in age- and sex-matched controls-to daytime dysfunction.

Is insomnia severity a moderator of the associations between obstructive sleep apnea severity with mood and diabetes-related distress?

PURPOSE

This study examined insomnia severity as a moderator of the associations between obstructive sleep apnea (OSA) severity with impaired mood and diabetes-related distress in adults with OSA and type 2 diabetes (T2D).

METHODS

This secondary analysis used pooled baseline data from two randomized controlled trials that evaluated the efficacy of treatment of OSA or insomnia in adults with T2D. Participants for this analysis had OSA (Apnea Hypopnea Index [AHI] ≥ five events/hour obtained from an in-home sleep apnea testing device) and completed questionnaires on insomnia, mood, and diabetes-related distress. Hierarchical multiple linear regression and multivariate linear regression analyses were used controlling for demographic characteristics and restless leg syndrome.

RESULTS

Of 240 participants, mean age was 57.8 ± 10.17, 50% were female, and 35% were non-White. Participants had poorly controlled diabetes (Mean HbA1C = 7.93 ± 1.62), and moderate OSA (Mean AHI = 19.3 ± 16.2). Insomnia severity significantly moderated the association between OSA severity and mood (b = -0.048, p = .017). Although insomnia severity did not moderate the relationship between OSA severity and diabetes-related distress (b = -0.009, p = .458), insomnia severity was independently associated with greater diabetes-related distress (b = 1.133, p < .001).

CONCLUSIONS

In adults with T2D and OSA, as insomnia severity increased, increasing OSA severity was associated with lower level of mood disturbances. Insomnia independently increased the level of diabetes-related distress. These findings suggest that comorbid insomnia may be more impactful than OSA on increasing mood disturbances and diabetes-related distress in adults with T2D.

Relationship satisfaction moderates links between poor sleep quality and psychological distress among couples coping with type 1 diabetes

OBJECTIVES

We examined links between sleep quality and psychological distress among couples dealing with type 1 diabetes (T1D) across cross-sectional and daily diary methods and investigated whether relationship satisfaction moderated these associations.

METHODS

199 persons with T1D and their spouses completed survey questionnaires reporting their own sleep quality, depressive symptoms, and relationship satisfaction. They also completed 14-day diaries reporting their own sleep quality and negative affect. Multi-level actor-partner interdependence models examined associations between sleep quality and psychological distress.

RESULTS

Cross-sectional and daily diary data revealed an association between poorer sleep quality and higher psychological distress for both persons with T1D and their spouses (ie, actor effects). Some partner effects were found. For example, poorer sleep quality of persons with T1D was associated with greater negative affect for spouses (within persons). Relationship satisfaction moderated the effects of sleep quality on psychological distress. For example, participants' poorer overall daily sleep quality was associated with greater negative affect for those with lower relationship satisfaction but not for those with higher relationship satisfaction (ie, actor effects). In contrast, partners' poorer overall daily sleep quality was associated with participants' greater negative affect for those with higher relationship satisfaction but not for those with lower relationship satisfaction (ie, partner-effects).

CONCLUSION

Links between sleep quality and psychological distress occur both within and between persons. Relationship satisfaction moderates the effect of poorer sleep quality on psychological distress in a nuanced way.

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

INTRODUCTION

Diabetic mellitus has a negative impact on the quality of sleep. It is one of the leading public health conditions which can result in poor sleep quality. Poor sleep quality is an unreported and unrecognized problem which can affect the prognosis of diabetes patients.

OBJECTIVE

The aim of this study is to assess the prevalence of poor sleep quality and its associated factors among patients with diabetes mellitus attending follow-up clinics at the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2019.

METHODS

An institution-based cross-sectional study was conducted among 430 diabetes mellitus patients at the University of Gondar Comprehensive Specialized Hospital from February 1, 2020 to March 28, 2020. A systematic random sampling method was used to reach the study subjects. An interviewer-administered questionnaire was used for data collection. Pittsburgh sleep quality index was used for assessing sleep quality. To explain study variables, frequency tables and percentages were used. A binary logistic regression was conducted to see the relation between dependent and independent variables.

RESULTS

A total of 430 diabetes mellitus patients participated in the study with a response rate of 100%. The overall prevalence of poor sleep quality was 47.2%. Drinking alcohol (AOR = 2.45, 95% CI: 1.28-4.69), smokers (AOR = 6.26, 95% CI: 2.04-19.21), comorbidity (AOR = 1.80, 95% CI: 1.10-2.96), BMI ≥ 30 (AOR = 4.87, 95% CI: 1.07-22.09), having type 2 diabetes mellitus (AOR = 2.16, 95% CI: 1.04-4.50), poor glycemic control (AOR = 2.61, 95% CI: 1.81-4.81) and having depression (AOR = 9.95, 95% CI: 4.85-20.38) were associated with poor sleep quality.

CONCLUSION

In this study, nearly half of the patients had poor sleep quality. Drinking alcohol, smoking, comorbidities, higher BMI, type 2 diabetes mellitus, poor glycemic control and having depression were factors in poor sleep quality. Creating awareness of the need for weight reduction, minimizing alcohol intake, cessation of smoking, and improving sleep hygiene for DM patients would be effective management for improving poor sleep quality.

Sex differences in subjectively reported symptoms of obstructive sleep apnea in community-dwelling adults with type 2 diabetes

BACKGROUND

Reports of sex differences in self-reported mood, sleep quality, daytime function, and excessive daytime sleepiness in people with obstructive sleep apnea (OSA) have been inconsistent. The purpose of this study was to investigate sex differences in these subjective sleep outcomes in participants with type 2 diabetes (T2D) either at high risk for OSA or diagnosed with OSA.

METHODS

Measures included OSA severity by apnea-hypopnea index (AHI) and self-reported questionnaires: Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), functional outcomes of sleep quality questionnaire (FOSQ), and the profile of mood states (POMS). Relevant individual, social, and health determinants were included as covariates.

RESULTS

A total of 350 participants with T2D [Mean A1C 8.0% (SD ±1.8)] had mean age 56.5 (SD ±10.5) and were balanced by sex (51% men) and race (60% white, 40% non-white). Reports of sleep quality and daytime function were worse in women than in men (p <0.05), whereas men had more severe OSA than women (p <0.05). In fully adjusted models, there was no moderation by sex in the relations between AHI and the sleep outcome measures. AHI showed a significant association with ESS but not PSQI, FOSQ, or POMS.

CONCLUSION

In participants with T2D at high risk for or diagnosed with OSA, excessive daytime sleepiness was independently associated with OSA severity, but not self-reported sleep quality, daytime function, or mood. While women reported worse outcomes associated with sleep, these outcomes were not associated with OSA severity.

Poor sleep quality and its predictors among type 2 diabetes mellitus patients attending Jimma University Medical Center, Jimma, Ethiopia

Objectives

The aim of this study is to determine the prevalence of poor sleep quality and its associated factors among people with type 2 diabetes mellitus at Jimma University Medical Center, Jimma, Ethiopia 2018. Comparative cross-sectional study was employed on 198 participants (99 cases and 99 controls). Data were collected using Pittsburgh Sleep Quality Index (PSQI) and analyzed using SPSS version 20. Variables with p value ≤ 0.05 in multivariable logistic regression were treated as significant predictors of poor sleep quality.

Results

The prevalence of poor sleep quality was 55.6% among people with type 2 diabetes mellitus and 32.3% among controls. Longer duration of diabetes since diagnosis (> 10 years) [AOR = 4.88 CI (1.27, 18.66) p = 0.021], co-morbid hypertension [AOR = 3.2, CI (1.16, 8.84) p = 0.025], poor glycemic control [AOR = 3.16 CI (1.2, 8.27), p = 0.02] and current khat chewing [AOR = 3.06, CI (1.04, 8.98), p = 0.042] were factors significantly associated with poor sleep quality. The prevalence of poor sleep quality was significantly higher among people with diabetes than those who didn’t have diabetes (controls). Poor sleep quality may bring about mental impairment and reduce working capacity of individuals with diabetes mellitus. Therefore, diabetes mellitus patients need to have heath education about risk factors for poor sleep quality.

Sleep Disturbance in Adjustment Disorder and Depressive Episode

Background: In this paper, we aimed to examine the patterns of sleep disturbance in adjustment disorder (AD) and depressive episode (DE), to examine the variables associated with sleep disturbance in AD and DE and associated impairment in functioning. Methods: This is a multi-centre case-control study of 370 patients: 185 patients with AD and 185 patients with a diagnosis of DE, recruited from the liaison psychiatry services of three Dublin hospitals. We examined the participants' sleep pathology using the sleep disturbance items on the Schedule for Clinical Assessment in Neuropsychiatry, and the Inventory of Depressive Symptoms-Clinician-rated-30. Results: Patients with a diagnosis of AD were less likely to report disturbed sleep than those with a diagnosis of DE (p = 0.002). On multivariate analysis, sleep disturbance was significantly associated with greater severity of certain depressive symptoms: decreased appetite (p < 0.001) and psychomotor agitation (p = 0.009). Decreased appetite, younger age and single marital status were significantly associated with sleep disturbance in male patients, and decreased appetite and psychomotor agitation were significantly associated with sleep disturbance in female participants. Conclusions: This is the largest study to date which has examined sleep disturbance in adjustment disorder. Disturbance of sleep is a significant symptom in AD and may represent a potential target for treatment. With further research, patterns of sleep disturbance may be useful in differentiating AD from DE.

Does sleep duration, napping, and social jetlag predict hemoglobin A1c among college students with type 1 diabetes mellitus?

AIMS

The first aim examined the relationship between sleep behaviors (duration, napping, and social jetlag) and hemoglobin A1c (HbA1c) among emerging young adults (EYAs) with T1DM between 18 and 25 years old, who are living on a college campus. The second aim characterized the gender differences in glucose management, sleep behaviors, caffeine intake, and nighttime technology.

METHODS

A cross-sectional study of eligible participants used a convenience sample of eligible participants. Using Research Electronic Data Capture (REDCap), participants completed surveys about diabetes management, caffeine intake, nighttime technology use, and sleep-related behaviors. Data were analyzed using correlation and multiple linear regression to predict HbA1c from sleep behaviors, adjusting for covariates.

RESULTS

Participants (N = 76) average years with T1DM was 10.25 ± 5.70. Compared to females, males had a longer sleep duration lower HbA1c levels. HbA1c levels were negatively correlated with weekday sleep (r = -0.24, p = 0.03) and positively correlated with napping (r = 0.34, p = 0.003). After adjusting for covariates, participants who napped had a higher HbA1c level (β = 0.74, p = 0.03) compared with non-nappers.

CONCLUSIONS

Higher HbA1c levels were found among EYAs with T1DM in college who were nappers and had a longer sleep duration. Modifying sleep behaviors may be an appropriate target to improve glycemic control.

Gender differences in the prevalence and clinical correlates of sleep disturbance in general hospital outpatients

This study investigated gender differences in the prevalence of sleep disturbance and related demographic and clinical characteristics, including quality of life (QOL), in Chinese outpatients. Up to 4399 adult outpatients (2896 females, 1503 males) who visited the neurological, cardiovascular, gastrointestinal, and gynaecological outpatient clinics in four general hospitals were recruited. Demographic and clinical data including QOL were collected by using self-report questionnaires. The prevalence of sleep disturbance in female outpatients (671/2896, 23.2%) was significantly higher than in male outpatients (302/1503, 20.1%) and remained significant after adjusting for significant confounders in the regression analysis. In the regression analysis, divorced/widowed and unemployed status were independently associated with a higher frequency of sleep disturbance in females, while educational level was independently associated with males only. Among these factors, depressive symptoms and older age were the most common risk factors for sleep disturbance in both genders. Sleep disturbance was not associated with the mental domains of the QOL assessments in both genders. This study suggests that sleep disturbance is more frequent in female outpatients and is associated with multiple factors in both genders. A longitudinal study is warranted to confirm the current findings.

Sex Differences in the Psychometric Properties of the Pittsburgh Sleep Quality Index

BACKGROUND

The Pittsburgh Sleep Quality Index (PSQI) is a well-known, validated, and reliable instrument used to measure the clinical construct of sleep quality. Little research has been done to measure its psychometric properties by sex. Previous researchers have established the validity of a three-factor structure, but it is unknown whether it applies to both men and women equally.

MATERIALS AND METHODS

This study examined 198 participants; women (n = 104), men (n = 94) who were participants in the Diabetes Sleep Treatment Trial, an ongoing study examining the effect of continuous positive airway pressure on glycemic control in people with type 2 diabetes. A principal components analysis with varimax rotation, scree plots, parallel analysis, and Eigenvalues confidence intervals were all computed to determine factor structure using the seven components measured in the PSQI.

RESULTS

Component one, a question about perceived sleep quality, loaded with "sleep efficiency" and "sleep duration" in men and with "daytime dysfunction" and "sleep disturbances" in women.

CONCLUSION

This study confirms a three-factor structure as previously suggested; however, "perceived sleep quality" may load differently depending on the sex being examined. This result suggests that men and women may interpret what is meant by "overall sleep quality" differently.

Sleep and diabetic retinopathy

PURPOSE

To investigate the association between sleep duration and diabetic retinopathy (DR).

METHODS

A population-based cross-sectional study using a nation-wide, systemically stratified, multistage, clustered sampling method included a total of 1670 subjects aged ≥40 years with diabetes who participated in the Korean National Health and Nutrition Examination Survey during 2008-2012. All participants performed standardized interviews, including self-reported sleep duration, and comprehensive ophthalmic examinations. Seven standard retinal fundus photographs were obtained from both eyes after pupil dilatation. Diabetic retinopathy (DR) was graded and classified as any DR and vision-threatening DR. Participants were stratified into men and women.

RESULTS

The mean sleep duration was 6.71 hr/day. In men, adjusted OR of any DR was 1.88 [95% confidence interval (OR), 1.01-3.59] in those with ≤5 hr sleep, and 2.19 (95% CI, 1.01-4.89) in those with ≥9 hr sleep, compared to in subjects with 6-8 hr sleep, after adjusting for potential confounders including age, body mass index (BMI), diabetes duration, fasting glucose level, haemoglobin A1c levels and hypertension. In women, however, no significant association between sleep duration and DR was found. The vision-threatening DR was not significantly associated with sleep duration in either men or women.

CONCLUSIONS

Short and long sleep was associated with high prevalence of DR in men. Sleep deprivation may be involved in the pathogenesis of DR development.