Association of comorbid obstructive sleep apnea and insomnia with risk of major adverse cardiovascular events in sleep medicine center patients.

OBJECTIVES: To investigate the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events, including myocardial infarction, unstable angina, congestive heart failure, and stroke, in adults with suspected sleep disorders who underwent sleep apnea testing. METHODS: We conducted a retrospective analysis of electronic medical records data from patients with clinical encounters at sleep medicine centers to identify patients with comorbid obstructive sleep apnea and insomnia, obstructive sleep apnea only, insomnia only, and patients without a diagnosis of obstructive sleep apnea or insomnia (i.e., controls). Obstructive sleep apnea, insomnia, comorbidities, and new-onset major adverse cardiovascular events were ascertained by ICD-9-CM and ICD-10-CM codes. Multivariable adjusted Cox proportional regression models evaluated the risk of major adverse cardiovascular events over a 10-year follow-up period. RESULTS: A total of 3951 patients, 226 controls, 2107 with obstructive sleep apnea only, 276 with insomnia only, and 1342 with comorbid obstructive sleep apnea and insomnia, were included in the analysis. Compared to controls, comorbid obstructive sleep apnea and insomnia were associated with a significantly higher risk of developing major adverse cardiovascular events (hazard ratio 3.60, 95 CI%: 2.33-5.91) in unadjusted analyses. The relationship between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events remained after adjustment for demographic and behavioral factors, but not after further adjustment for comorbidities. The greatest risk of major adverse cardiovascular events was found among younger adults with comorbid obstructive sleep apnea and insomnia. Obstructive sleep apnea only was associated with greater risk of major adverse cardiovascular events in unadjusted analyses only (hazard ratio 2.77, 95% CI: 1.80-4.54). Insomnia only was not significantly associated with increased risk of major adverse cardiovascular events. CONCLUSIONS: Comorbid obstructive sleep apnea and insomnia may be a high-risk group for major adverse cardiovascular events, particularly younger adults. Further research is needed to better understand the association between comorbid obstructive sleep apnea and insomnia and major adverse cardiovascular events risk.

Racial/ethnic disparities in sleep health among adolescents in South Korea: The role of substance use behaviours.

AIM: To examine the relationship between racial/ethnic disparities and substance use behaviours (alcohol and tobacco use) and their impact on the sleep health of South Korean adolescents. DESIGN: Secondary analysis of cross-sectional study data from the 2021 Korea Youth Risk Behaviour Web-based Survey dataset. METHODS: Given that Korean society has historically linked its racial/ethnic identity to a shared bloodline, we categorized 2644 adolescents from the Korea Youth Risk Behaviour Web-based Survey based on their racial/ethnic status, determined by their parents' birthplaces. Using multiple linear regression, we investigated whether the impact of racial/ethnic disparities on sleep health (sleep duration, debt, and timing) varies depending on substance use behaviours (alcohol and tobacco use) after controlling for age, sex, household economic status, depressed mood, suicidal ideation, perceived excessive stress, and anxiety level. RESULTS: Despite no statistical differences in sleep health and the prevalence of substance use between racial/ethnic groups, racial/ethnic minority adolescents experienced greater sleep debt than racial/ethnic majority adolescents when consuming alcohol. Moreover, racial/ethnic minority adolescents were more likely to report psychosocial distress and had lower parental education level. CONCLUSION: Racial/ethnic minority adolescents were more vulnerable to the detrimental effects of alcohol use on sleep health compared to racial/ethnic majority adolescents. This heightened vulnerability may be attributed to the more pronounced psychosocial challenges and the lower socioeconomic status of parents in the racial/ethnic minority group. IMPACT: Racial/ethnic disparities are concerning in South Korea, particularly since the negative effects of substance use on sleep health are intensified among racial/ethnic minority adolescents. Nurses and other healthcare providers should recognize the importance of addressing the social disadvantages linked to racial/ethnic disparities. Beyond just advocating for the cessation of substance use, it is crucial to address these underlying issues to reduce sleep disparities among South Korean adolescents. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Patient-level factors associated with the self-report of trouble sleeping to healthcare providers in adults at high risk for obstructive sleep apnea.

INTRODUCTION: In adults at risk for obstructive sleep apnea, it is unclear what patient-level factors and symptoms may influence communication with healthcare providers regarding sleep difficulties. This analysis examined associations between sociodemographic characteristics, comorbidities, and obstructive sleep apnea-related symptoms and whether adults at high risk for obstructive sleep apnea reported trouble sleeping to an healthcare provider. METHODS: The sample included participants from the 2015-2018 National Health and Nutrition Examination Survey determined by a modified STOP-Bang to be at high risk for obstructive sleep apnea (n = 2009). Participants were asked if they had ever reported trouble sleeping to an healthcare provider. Self-reported comorbidities and obstructive sleep apnea-related symptoms (ie, snoring, snorting, gasping, or breathing cessation during sleep, daytime sleepiness, fatigue, insomnia, and nocturia) were assessed. RESULTS: Half of the sample (50.8%) never reported trouble sleeping to an healthcare provider. Factors associated with an increased likelihood of reporting trouble sleeping included female sex, former smoker, and prediabetes or diabetes, obstructive lung disease, daytime sleepiness, insomnia, nocturia, and symptoms of snorting, gasping, and/or breathing cessation during sleep. Factors associated with a decreased likelihood of reporting trouble sleeping included Mexican American background or Asian race and having less than a high school education. CONCLUSION: Differences in sex, race, education, comorbidities, and obstructive sleep apnea-related symptoms exist between adults at high risk for obstructive sleep apnea who have and have not reported trouble sleeping to an healthcare provider. It is important for healthcare providers to ask all adults about sleep problems, recognizing that men, minorities, and persons with lower educational attainment may be less likely to report trouble sleeping.

Menstrual disturbances and its association with sleep disturbances: a systematic review.

BACKGROUND: Menstrual disturbances harm women's health, and general well-being. As growing evidence highlights the relationship between sleep and menstrual disturbances, it is imperative to comprehensively examine the association between sleep and menstrual disturbance considering the multiple dimensions of sleep. This systematic review aims to identify the association between sleep and menstrual disturbances by evaluating using Buysse's sleep health framework. METHODS: A comprehensive search of the literature was conducted in PubMed, EMBASE, psychINFO, and CINAHL to identify publications describing any types of menstrual disturbances, and their associations with sleep published between January 1, 1988 to June 2, 2022. Quality assessment was conducted using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. The findings were iteratively evaluated menstrual disturbances and their association with sleep using Buysse's sleep health framework. This framework understands sleep as multidimensional concept and provides a holistic framing of sleep including Satisfaction, Alertness during waking hours, Timing of sleep, Efficiency, and Sleep duration. Menstrual disturbances were grouped into three categories: premenstrual syndrome, dysmenorrhea, and abnormal menstrual cycle/heavy bleeding during periods. RESULTS: Thirty-five studies were reviewed to examine the association between sleep and menstrual disturbances. Premenstrual syndrome and dysmenorrhea were associated with sleep disturbances in sleep health domains of Satisfaction (e.g., poor sleep quality), Alertness during waking hours (e.g., daytime sleepiness), Efficiency (e.g., difficulty initiating/maintaining sleep), and Duration (e.g., short sleep duration). Abnormal menstrual cycle and heavy bleeding during the period were related to Satisfaction, Efficiency, and Duration. There were no studies which investigated the timing of sleep. CONCLUSIONS/IMPLICATIONS: Sleep disturbances within most dimensions of the sleep health framework negatively impact on menstrual disturbances. Future research should longitudinally examine the effects of sleep disturbances in all dimensions of sleep health with the additional objective sleep measure on menstrual disturbances. This review gives insight in that it can be recommended to provide interventions for improving sleep disturbances in women with menstrual disturbance.

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.

Risk stratification by sex and menopausal status in the multivariable apnea prediction index.

STUDY OBJECTIVES: To determine the sensitivity of the Multivariable Apnea Prediction (MAP) index for obstructive sleep apnea (OSA) in pre- and post-menopausal women with the goal of developing a tailored scoring classification approach. METHODS: Data from two studies (N = 386); the diabetes sleep treatment trial (N = 236) and EMPOWER (N = 150) were used to assess the sensitivity and specificity of the MAP index by comparing men (n = 129) to women (n = 257), and premenopausal (n = 100) to post-menopausal women (n = 136). We evaluated participants at two cut points, apnea-hypopnea index (AHI) values of ≥ 5 and ≥ 10, using 0.5 as a predicted probability cut point to establish baseline sensitivity and specificity. Contingency tables and receiver operating characteristic (ROC) analysis were conducted to evaluate the accuracy of the MAP index in predicting OSA in men versus women, and in pre-versus post-menopausal women. To select optimal predicted probabilities for classification by sex and menopausal status, Youden's J statistic was generated from ROC coordinates. RESULTS: The MAP index was more sensitive to women in the AHI ≥ 5 group (76%) compared to AHI ≥ 10 group (30%). Among post-menopausal women with AHI ≥ 5, sensitivity was similar to men (98%), but less than men when AHI ≥ 10 (32%). Suggested probability cut points for women with an AHI ≥ 10 are 0.24 overall; 0.15 for premenopausal, and 0.38 for postmenopausal women. CONCLUSIONS: Because women's risk for OSA (AHI ≥ 10) was underestimated by the MAP index, we suggest the use of tailored cut points based on sex and menopausal status or assessing for OSA risk with an AHI of ≥ 5.

Financial Hardship and its Associations with Perceived Sleep Quality in Participants with Type 2 Diabetes and Obstructive Sleep Apnea.

OBJECTIVES: The purpose of this study was to explore social determinants of health (SDoH), and disease severity as predictors of sleep quality in persons with both Obstructive Sleep Apnea (OSA) and type 2 diabetes (T2D). METHODS: Disease severity was measured by Apnea-Hypopnea Index [(AHI) ≥ 5] and HbA1c for glycemic control. SDoH included subjective and objective financial hardship, race, sex, marital status, education, and age. Sleep quality was measured by Pittsburgh Sleep Quality Index (PSQI). RESULTS: The sample (N = 209) was middle-aged (57.6 ± 10.0); 66% White and 34% African American; and 54% men and 46% women. Participants carried a high burden of disease (mean AHI = 20.7 ± 18.1, mean HbA1c = 7.9% ± 1.7%). Disease severity was not significantly associated with sleep quality (all p >.05). Worse sleep quality was associated with both worse subjective (b = -1.54, p = .015) and objective (b = 2.58, p <.001) financial hardship. Characteristics significantly associated with both subjective and objective financial hardship included being African American, female, ≤ 2 years post high school, and of younger ages (all p < .01).Discussion: Financial hardship is a more important predictor of sleep quality than disease severity, age, sex, race, marital status, and educational attainment, in patients with OSA and T2D.

Effects of continuous positive airway pressure treatment on sleep architecture in adults with obstructive sleep apnea and type 2 diabetes.

Obstructive sleep apnea (OSA) severely impacts sleep and has long-term health consequences. Treating sleep apnea with continuous positive airway pressure (CPAP) not only relieves obstructed breathing, but also improves sleep. CPAP improves sleep by reducing apnea-induced awakenings. CPAP may also improve sleep by enhancing features of sleep architecture assessed with electroencephalography (EEG) that maximize sleep depth and neuronal homeostasis, such as the slow oscillation and spindle EEG activity, and by reducing neurophysiological arousal during sleep (i.e., beta EEG activity). We examined cross-sectional differences in quantitative EEG characteristics of sleep, assessed with power spectral analysis, in 29 adults with type 2 diabetes treated with CPAP and 24 adults undergoing SHAM CPAP treatment (total n = 53). We then examined changes in spectral characteristics of sleep as the SHAM group crossed over to active CPAP treatment (n = 19). Polysomnography (PSG) from the CPAP titration night was used for the current analyses. Analyses focused on EEG frequencies associated with sleep maintenance and arousal. These included the slow oscillation (0.5-1 Hz), sigma activity (12-16 Hz, spindle activity), and beta activity (16-20 Hz) in F3, F4, C3, and C4 EEG channels. Whole night non-rapid eye movement (NREM) sleep and the first period of NREM spectral activity were examined. Age and sex were included as covariates. There were no group differences between CPAP and SHAM in spectral characteristics of sleep architecture. However, SHAM cross-over to active CPAP was associated with an increase in relative 12-16 Hz sigma activity across the whole night and a decrease in average beta activity across the whole night. Relative slow oscillation power within the first NREM period decreased with CPAP, particularly for frontal channels. Sigma and beta activity effects did not differ by channel. These findings suggest that CPAP may preferentially enhance spindle activity and mitigate neurophysiological arousal. These findings inform the neurophysiological mechanisms of improved sleep with CPAP and the utility of quantitative EEG measures of sleep as a treatment probe of improvements in neurological and physical health with CPAP.

Evaluation of nurse-led social media intervention for diabetes self-management: A mixed-method study.

AIMS: This study aimed to investigate the effectiveness and understand the process of a nurse-led social media intervention for health behavior and glucose control for diabetes self-management among patients with type 2 diabetes mellitus. DESIGN: This study had an explanatory sequential mixed methods design, with a randomized controlled trial and qualitative interviews. METHODS: A total of 89 patients diagnosed with type 2 diabetes mellitus were randomly assigned to an intervention or a control group. Patients in the intervention group were invited to join the closed nurse-led social media platform that included diabetes information, action planning, unmoderated chat, and questions and answers. The outcomes of diabetes self-care behavior, hemoglobin A1c (HbA1c) percentage, fasting blood sugar level (FBS), systolic and diastolic blood pressure, and triglyceride (TG) and total cholesterol levels were measured at baseline, 3 months, and 6 months. A linear mixed model was used to analyze the effectiveness of the intervention over time. Qualitative data were collected from interviews with seven patients engaged in the intervention and analyzed using qualitative content analysis. FINDINGS: After 6 months, insulin users who were provided with the social media intervention had significantly lower FBS and TG levels than those with usual care (135.80 ± 12.37 vs. 175.82 ± 15.34 mg/dL, p = 0.049; 206.85 ± 38.26 vs. 387.50 ± 56.19 mg/dL, p = 0.013; respectively). Although a similar rate of decrease in the HbA1c level over time was observed among insulin and noninsulin users after the social media intervention, this decrease was significantly greater among noninsulin users at 3 and 6 months compared with the control group (6.38 ± 0.34 vs. 7.25 ± 0.24, p = 0.040; 6.31 ± 0.37 vs. 7.28 ± 0.26, p = 0.036; respectively). Interview with seven patients who engaged in the intervention revealed that their engagement in the intervention was primarily determined by their acceptance of the role of managing their diabetes. Being engaged in the intervention, patients benefited from information sharing and interactive support to motivate their self-care, nurses' professional advice to modify their behaviors, and action planning to make progress toward behavioral change. CONCLUSIONS: The positive outcomes of the nurse-led social media intervention indicate that the social media platform is an effective strategy to implement diabetes self-management in clinical nursing practice. CLINICAL RELEVANCE: The social media intervention would be successfully implemented by nurses to facilitate patients accepting their role in diabetes management and employing key services for diabetes information, support, professional advice, and action planning.

Sleep problems and associations with cardiovascular disease and all-cause mortality in asthma-chronic obstructive pulmonary disease overlap: analysis of the National Health and Nutrition Examination Survey (2007-2012).

STUDY OBJECTIVES: The impact of sleep problems (ie, sleep duration and presence of sleep disorders) on cardiovascular morbidity and all-cause mortality in adults with asthma-chronic obstructive pulmonary disease overlap (ACO) is unknown. METHODS: Using the National Health and Nutrition Examination Survey database (2007-2012 cycles) and National Death Index data, we identified 398 persons with ACO. Data on self-reported physician-diagnosed sleep disorders and cardiovascular disease were collected. Sleep duration in hours was categorized as short (≤ 5 hours), normal (6-8 hours), and long (≥ 9 hours). Associations between sleep duration and presence of sleep disorders and cardiovascular disease and all-cause mortality were analyzed in regression models adjusted for age, sex, race, smoking status, and body mass index. RESULTS: Presence of sleep disorders was more commonly reported in the ACO group (24.7%) compared to all other groups. The ACO group had a higher proportion of short sleepers (27.6%) compared to controls (11.7%) and chronic obstructive pulmonary disease (19.2%) and a higher proportion of long sleepers (6.9%) compared to chronic obstructive pulmonary disease (5.5%). Presence of sleep disorders was associated with increased risk for cardiovascular disease (odds ratio = 2.48; 95% confidence interval, 1.65-3.73) and death (hazard ratio = 1.44; 95% confidence interval, 1.03-2.02); risk did not vary between groups. A stronger association existed between sleep duration and increased risk for cardiovascular and all-cause mortality in ACO compared to chronic obstructive pulmonary disease and controls. CONCLUSIONS: These results suggest that persons with ACO may represent a high-risk group that should be targeted for more aggressive intervention for sleep problems, a modifiable risk factor. CITATION: Baniak LM, Scott PW, Chasens ER, et al. Sleep problems and associations with cardiovascular disease and all-cause mortality in asthma-chronic obstructive pulmonary disease overlap: analysis of the National Health and Nutrition Examination Survey (2007-2012). J Clin Sleep Med. 2022;18(6):1491-1501.

Comorbid obstructive sleep apnea and insomnia and its associations with mood and diabetes-related distress in type 2 diabetes mellitus.

STUDY OBJECTIVES: Previous research suggests that obstructive sleep apnea (OSA) and insomnia frequently coexist and are prevalent in persons with type 2 diabetes mellitus. This study compared mood and diabetes-related distress among OSA, insomnia, and comorbid OSA and insomnia groups in persons with type 2 diabetes mellitus. METHODS: A secondary analysis was conducted with baseline data from 2 independent randomized controlled trials evaluating the efficacy of OSA and insomnia treatment. The pooled sample (n = 224) included participants with OSA only (n = 68 [30.4%]), insomnia only (n = 107 [47.8%]), and OSA and insomnia (OSA+insomnia; n = 49 [21.9%]). OSA was defined as an apnea-hypopnea index ≥ 15 events/h; insomnia was defined as an Insomnia Severity Index score ≥ 15. Mood was measured by the Profile of Mood States total and subscale scores; diabetes-related distress was assessed by the Problem Areas in Diabetes questionnaire. One-way analysis of covariance and multivariate analysis of covariance were conducted, controlling for demographic characteristics and restless legs syndrome. RESULTS: The insomnia group had on average significantly higher scores for total mood disturbance (insomnia vs OSA = 45.32 vs 32.15, P = .049), tension-anxiety (insomnia vs OSA = 12.64 vs 9.47, P = .008), and confusion-bewilderment (insomnia vs OSA = 9.45 vs 7.46, P = .036) than the OSA group. The OSA+insomnia group had on average significantly greater diabetes-related distress than the OSA group (OSA+insomnia vs OSA = 40.61 vs 30.97, P = .036). CONCLUSIONS: Insomnia may have greater impact on mood disturbance and diabetes-related distress than OSA in persons with type 2 diabetes mellitus. In particular, comorbid insomnia may contribute to greater diabetes-related distress in persons with type 2 diabetes mellitus and OSA. CITATION: Jeon B, Luyster FS, Sereika SM, DiNardo MM, Callan JA, Chasens ER. Comorbid obstructive sleep apnea and insomnia and its associations with mood and diabetes-related distress in type 2 diabetes mellitus. J Clin Sleep Med. 2022;18(4):1103-1111.

Objective Assessment of Sleep Patterns among Night-Shift Workers: A Scoping Review.

In this scoping review of the literature, we identified the types and the parameters of objective measurements to assess sleep patterns among night-shift workers. We conducted a literature search using electronic databases for studies published from 1991 to 2020 and charted and summarized key information. We included 32 studies in the review. Polysomnography was used in 6 studies and wearable sleep detection devices were utilized in 26 studies. The duration of sleep assessment using the wearable devices ranged from 1 day to ≥4 weeks, and more than half of the studies collected data for >2 weeks. The majority of the studies used subjective questionnaires, such as the Karolinska Sleepiness Scale, Epworth Sleepiness Scale, and Pittsburgh Sleep Quality Index, in addition to objective sleep measurements. Total sleep time was the most common parameter, followed by sleep efficiency, sleep onset latency, and time or frequency of being awake. As the utilization of wearable devices to assess the sleep patterns of night-shift workers is expected to increase, further evaluation of device accuracy and precision, optimal data collection period, and key parameters is warranted.

Sleep and Metabolic Syndrome.

Metabolic syndrome (MetS) refers to the clustering of risk factors for cardiovascular disease and diabetes, including central adiposity, hypertension, dyslipidemia, and hyperglycemia. During the past 20 years, there have been parallel and epidemic increases in MetS and impaired sleep. This article describes evidence on the association between MetS and short sleep duration, circadian misalignment, insomnia, and sleep apnea. Potential mechanisms where impaired sleep desynchronizes and worsens metabolic control and interventions to improve sleep and potentially improve MetS are presented.

Depressive Symptoms in Comorbid Obstructive Sleep Apnea and Insomnia: An Integrative Review.

The purpose of this integrative review was to synthesize evidence concerning the relationship between comorbid obstructive sleep apnea and insomnia (OSA+I), and depressive symptoms. OSA and insomnia are common sleep disorders, recently comorbid OSA+I has been recognized as prevalent in adults. Although each sleep disorder increases the risk and severity of depressive symptoms, the effect of comorbid OSA+I on depressive symptoms remains unclear. A systematic search of PubMed, CINAHL, and PsycINFO identified 15 data-based studies. All the studies were observational with either a cross-sectional (n = 14) or a case-control design (n = 1). Study quality was assessed. Most of the studies (n = 14) indicated that comorbid OSA+I had an additive role on depressive symptoms. Insomnia appeared to have a more important role than OSA in increasing the severity of depressive symptoms in persons with comorbid OSA+I.

Age-Related Differences in Mood, Diabetes-Related Distress, and Functional Outcomes in Adults With Type 2 Diabetes Mellitus and Comorbid Obstructive Sleep Apnea and Insomnia.

PURPOSE: The purpose of this study was to examine age-related differences in mood, diabetes-related distress, and functional outcomes in activities sensitive to impaired sleep in adults with type 2 diabetes mellitus (T2DM) and comorbid obstructive sleep apnea (OSA) and insomnia. This study also evaluated the associations of age, insomnia severity, and OSA severity on outcome variables. METHODS: This study was a secondary analysis of pooled baseline data from 2 randomized controlled trials among adults with T2DM with symptoms of sleep disorders (N = 145,109 younger adults, 36 older adults; 46.2% male; 67.6% white). Comorbid OSA and insomnia was defined as Apnea-Hypopnea Index ≥5 events per hour and Insomnia Severity Index ≥10. Outcome variables included mood, diabetes-related distress, and functional outcomes. RESULTS: Older adults reported better mood, lower diabetes-related distress, and higher functional outcomes relative to younger adults (all Ps < .05). Insomnia severity was associated with worse mood (b = 2.59, P < .001) and diabetes-related distress (b = 1.40, P < .001) and lower functional outcome (b = -0.22, P < .001). Older age was associated with lower diabetes-related distress (b = -0.44, P = .040). CONCLUSION: Older age was a protective factor of mood disturbance, diabetes-related distress, and functional impairment in adults with T2DM and comorbid OSA and insomnia. Insomnia severity was associated with greater mood disturbance, diabetes-related distress, and functional impairment when OSA and insomnia coexist. The results suggest that diabetes care and education specialists should assess patients for impaired sleep.

Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study.

OBJECTIVES: The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using International Classification of Diseases, tenth revision (ICD-10) Y codes. METHODS: We used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). We relied on medical treatment databases to extract information on ICD-10 Y codes from each participant in the NHIS-NSC. We classified adverse events in the ICD-10 Y codes into 6 types: those related to drugs, transfusions, and fluids; those related to vaccines and immunoglobulin; those related to surgery and procedures; those related to infections; those related to devices; and others. RESULTS: Over 12 years, a total of 20 817 adverse events were identified using ICD-10 Y codes, and the estimated total adverse event rate was 0.20%. Between 2002 and 2013, the total number of such events increased by 131.3%, from 1366 in 2002 to 3159 in 2013. The total rate increased by 103.9%, from 0.17% in 2002 to 0.35% in 2013. Events related to drugs, transfusions, and fluids were the most common (19 446, 93.4%), followed by those related to surgery and procedures (1209, 5.8%) and those related to vaccines and immunoglobulin (72, 0.3%). CONCLUSIONS: Based on a comparison with the results of other studies, the total adverse event rate in this study was significantly underestimated. Improving coding practices for ICD-10 Y codes is necessary to precisely monitor the scale of adverse events in Korea.