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STUDY OBJECTIVES: Whether the association between sleep-disordered breathing (SDB) and cardiovascular disease is independent of comorbid risk factors for cardiovascular disease is controversial. The objective of this study was to elucidate whether the association between SDB severity and the surrogate markers of cardiovascular disease events differs in relation to the number of comorbidities. METHODS: This cross-sectional study included 7,731 participants. Severity of SDB was determined by the oxygen desaturation index adjusted by actigraph-measured objective sleep time. Participants were stratified according to SDB severity and the number of comorbidities (hypertension, diabetes, dyslipidemia, and obesity), and the associations between the maximum value of intima-media thickness of the common carotid artery (CCA-IMT-max), brachial-ankle pulse wave velocity, and cardio-ankle vascular index were evaluated. RESULTS: Among participants with no risk factors, CCA-IMT-max increased according to SDB severity (n = 1022, P < .0001). Even after matching the background, the median CCA-IMT-max value was 14% higher in moderate-severe SDB patients than those without SDB (n = 45 in each group, P = .020). The difference was not significant for brachial-ankle pulse wave velocity and cardio-ankle vascular index. On the other hand, a significant difference in CCA-IMT-max was not found in those with multiple comorbidities. Consistently, multiple regression analysis revealed an independent association between CCA-IMT-max and moderate-severe SDB for all study participants (β: 0.0222, 95% confidence interval: 0.0039–0.0405, P = .017), but the association was not significant for stratified participants with multiple comorbidities. CONCLUSIONS: SDB severity is associated with the CCA-IMT-max level, but the independent association becomes weaker for those with multiple comorbidities. CITATION: Nakatsuka Y, Murase K, Matsumoto T, et al. Markers of cardiovascular disease risk in sleep-disordered breathing with or without comorbidities: the Nagahama Study. J Clin Sleep Med. 2021;17(12):2467–2475.

STUDY OBJECTIVES: Since subjective sleep duration (SSD) is considered to be longer than objective sleep duration (OSD), results of SSD minus OSD (SSD−OSD) might always be thought to be positive. Some recent reports showed different results, but exact results have not been obtained. The difference between SSD and OSD may change according to OSD. We investigated this difference and its association with sleep-disordered breathing (SDB) or nonrestorative sleep. METHODS: This cross-sectional study evaluated 6,908 community residents in Nagahama, Japan. SSD was determined by self-administered questionnaire. OSD was measured by wrist actigraphy and sleep diary. SDB was assessed according to the 3% oxygen desaturation index adjusted for OSD. RESULTS: Worthy of notice was that SSD was shorter than OSD for those with SSD longer than 6.98 hours in all participants, 7.36 hours in males, and 6.80 hours in females. However, SSD was longer than OSD (mean ± SD: 6.49 ± 1.07 vs 6.01 ± 0.96; P < .001) overall, as SSD is considered to be longer than OSD. In patients with SDB, the difference between SSD−OSD was greater when OSD was shorter. The difference also depended on SDB severity. The degree of positivity between OSD and SSD was a significant factor in nonrestorative sleep (odds ratio: 2.691; P < .001). CONCLUSIONS: When OSD was slightly less than 7 (6.98) hours, participants reported or perceived SSD > OSD. When OSD was > 6.98 hours, participants reported or perceived SSD < OSD. Patients with SDB reported longer SSD than OSD according to severity of SDB. Evaluating SSD, OSD, and their differences may be useful for managing sleep disturbances, including nonrestorative sleep. CITATION: Takahashi N, Matsumoto T, Nakatsuka Y, et al. Differences between subjective and objective sleep duration according to actual sleep duration and sleep-disordered breathing: the Nagahama Study. J Clin Sleep Med. 2022;18(3):851–859.

During the COVID-19 pandemic, informal caregivers’ mental health was more deteriorated than non-caregivers. The objective of this study was to examine the association between increased caregiver burden and severe psychological distress (SPD) during the pandemic. We used cross-sectional data from a nationwide internet survey conducted between August and September 2020 in Japan. Of 25,482 participants aged 15–79 years, 1,920 informal caregivers were analyzed (mean age, 52.3 ± 15.9 years; men, 48.8%). SPD was defined as the Kessler 6 Scale (K6) ≥ 13. The self-rated change in caregiver burden was measured with the single question item. A binary logistic regression analysis was used to examine the association between SPD and increased caregiver burden, adjusted for demographic, socioeconomic, health, and caregiving variables. To examine the differential association between increased caregiver burden and SPD, interaction terms were added and binary logistic regression was separately conducted in all variables. Of total caregivers, 56.7% reported the increased caregiver burden and 19.3% were SPD. Increased caregiver burden was significantly associated with SPD, with an adjusted odds ratio 1.90 (95% confidence interval 1.37–2.66). The association between increased caregiver burden and SPD was stronger among married caregivers, with disease treatment, and with their care-receiver’s care need level 1–2 (Japanese long term care service levels). This study demonstrated that increased caregiver burden was associated with SPD during the pandemic. Therefore, measures against mental health for the caregivers with increased caregiver burden need to be implemented immediately.

In humans, most renal functions, including urine volume and electrolyte excretions, have a circadian rhythm. Light is a strong circadian entrainment factor and daytime-light exposure is known to affect the circadian rhythm of rectal temperature (RT). The effects of daytime-light exposure on the diurnal rhythm of urinary excretion have yet to be clarified. The aim of this study was to clarify whether and how daytime exposure to bright-light affects urinary excretions. Twenty-one healthy men (21–27 years old) participated in a 4-day study involving daytime (08:00–18:00 h) exposure to two light conditions, Dim (p = 0.017) and sodium (Na), chloride (Cl), and uric acid (UA) excretion and urine volumes were greater (all p

STUDY OBJECTIVES: It is well known that a family history of diabetes (FHD) is a definitive risk factor for type 2 diabetes. It has not been known whether sleep-disordered breathing (SDB) increases the prevalence of diabetes in those with an FHD. METHODS: We assessed SDB severity in 7,477 study participants by oximetry corrected by objective sleep duration determined by wrist actigraphy. Glycated hemoglobin ≥6.5% and/or current medication for diabetes indicated the presence of diabetes. In addition to the overall prevalence, the prevalence of recent-onset diabetes during the nearly 5 years before the SDB measurements were made was investigated. RESULTS: Of the 7,477 participants (mean age: 57.9; range: 34.2–80.7; SD: 12.1 years; 67.7% females), 1,569 had an FHD. The prevalence of diabetes in FHD participants with moderate-to-severe SDB (MS-SDB) was higher than in those without SDB (MS-SDB vs without SDB: all, 29.3% vs 3.3% [P < .001]; females, 32.6% vs 1.9% [P < .001]; males, 26.2% vs 11.7% [P = .037]). However, multivariate analysis showed that MS-SDB was significantly associated with a higher prevalence of diabetes only in FHD-positive females (odds ratio [95% confidence interval]: females, 7.43 [3.16–17.45]; males, 0.92 [0.37–2.31]). Among the FHD-positive participants, the prevalence of recent-onset diabetes was higher in those with MS-SDB than those without SDB, but only in females (MS-SDB vs without SDB: 21.4% vs 1.1%; P < 0.001). CONCLUSIONS: MS-SDB was associated with diabetes risk in females with an FHD, and future studies are needed on whether treatment of SDB in females with an FHD would prevent the onset of diabetes. CITATION: Minami T, Matsumoto T, Tabara Y, et al. Impact of sleep-disordered breathing on glucose metabolism among individuals with a family history of diabetes: the Nagahama study. J Clin Sleep Med. 2021;17(2):129–140.