scholarly journals Bedtime and Sleep Duration in Relation to Depressive Symptoms among Japanese Workers

2013 ◽  
Vol 55 (6) ◽  
pp. 479-486 ◽  
Author(s):  
Nobuaki Sakamoto ◽  
Akiko Nanri ◽  
Takeshi Kochi ◽  
Hiroko Tsuruoka ◽  
Ngoc Minh Pham ◽  
...  
Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 361
Author(s):  
Su Jeong Yi ◽  
Yoo Mi Jeong ◽  
Jae-Hyun Kim

Physically disabled persons can have sleep problems, which affects their mental health more than those in non-disabled people. However, there are few studies on the relationship between sleep duration and mental health targeting physically disabled people in South Korea, and existing studies on the disabled have mostly used data collected from convenience rather than nationally representative samples, limiting the generalization of the results. This study used data from the second wave of the Panel Survey of Employment for the Disabled (PSED, 2016–2018, 1st–3rd year). Participants included 1851 physically disabled individuals. The Chi-square test and generalized estimating equation (GEE) were used and the Akaike information criterion (AIC) value and the AIC log Bayes factor approximation were used to select sleep trajectories. This is the first study to elucidate multiple sleep trajectories in physically disabled people in Korea, and the relationship between sleep duration trajectories and self-rated depressive symptoms. People with physical disabilities who sleep more than 9 h have the highest risk of depression and need more intensive management as a priority intervention.


2007 ◽  
Vol 42 (5) ◽  
pp. 410-413 ◽  
Author(s):  
Koji Wada ◽  
Katsutoshi Tanaka ◽  
Gilles Theriault ◽  
Mio Moriyama ◽  
Toshihiko Satoh ◽  
...  

2020 ◽  
Vol 58 (5) ◽  
pp. 414-422
Author(s):  
Tomoko SUZUKI ◽  
Koichi MIYAKI ◽  
Akizumi TSUTSUMI

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A322-A323
Author(s):  
Bao-Peng Liu ◽  
Zhen-Zhen Liu ◽  
Ze-Ying Wang ◽  
Di An ◽  
Yan-Xin Wei ◽  
...  

Author(s):  
S. S. Deschênes ◽  
R. J. Burns ◽  
E. Graham ◽  
N. Schmitz

Abstract Aims The goals of the present study were to examine the associations between depressive symptoms, sleep problems and the risk of developing heart disease in a Canadian community sample. Methods Baseline data were from the CARTaGENE study, a community health survey of adults aged 40–69 years in Quebec, Canada. Incidence of heart disease was examined in N = 33 455 participants by linking survey data with administrative health insurance data. Incident heart disease was identified using the World Health Organization's International Classification of Diseases, 9th or 10th edition (ICD-9 and ICD-10) diagnostic codes for heart disease. Sleep problems were assessed with diagnostic codes for sleep disorders within the 2 years preceding the baseline assessment. Average sleep duration was assessed by self-report. Depressive symptoms were assessed with the nine-item Patient Health Questionnaire. Results In total, 2448 (7.3%) participants developed heart disease over an average follow-up period of 4.6 years. Compared to those without depressive symptoms and with no sleep disorders, those with elevated depressive symptoms and a sleep disorder (HR = 2.60, 95% CI 1.83–3.69), those with depressive symptoms alone (HR = 1.40, 95% CI 1.25–1.57) and those with sleep disorders alone (HR = 1.33, 95% CI 1.03–1.73) were more likely to develop heart disease. Test of additive interaction suggested a synergistic interaction between depressive symptoms and sleep disorders (synergy index = 2.17 [95% CI 1.01–4.64]). When sleep duration was considered, those with long sleep duration and elevated depressive symptoms were more likely to develop heart disease than those with long sleep alone (HR = 1.77, 95% CI 1.37–2.28; and HR = 1.16, 95% CI 0.99–1.36, respectively). Conclusions Depression and diagnosed sleep disorders or long sleep duration are independent risk factors for heart disease and are associated with a stronger risk of heart disease when occurring together.


2011 ◽  
Vol 28 (3) ◽  
pp. 268-276 ◽  
Author(s):  
Jen Jen Chang ◽  
Joanne Salas ◽  
Katherine Habicht ◽  
Grace W. Pien ◽  
Katherine A Stamatakis ◽  
...  

2018 ◽  
Vol 28 (2) ◽  
pp. 94-98 ◽  
Author(s):  
Keisuke Kuwahara ◽  
Toru Honda ◽  
Tohru Nakagawa ◽  
Shuichiro Yamamoto ◽  
Takeshi Hayashi ◽  
...  

2017 ◽  
Vol 40 ◽  
pp. e114
Author(s):  
M. Gonçalves ◽  
A. Henrique ◽  
E. Ramos ◽  
C. Guilleminault ◽  
H. Barros

2020 ◽  
Author(s):  
Laura M. Lyall ◽  
Natasha Sangha ◽  
Cathy Wyse ◽  
Elaine Hindle ◽  
Dawn Haughton ◽  
...  

AbstractChildren and adolescents commonly suffer from sleep and circadian rhythm disturbances, which may contribute to poorer mental health and wellbeing during this critical developmental phase. Many studies however rely on self-reported sleep measures. This study assessed whether accelerometry data collection was feasible within the school setting as a method for investigating the extent of sleep and circadian disruption, and associations with subjective wellbeing, in Scotland. Fourteen days of wrist-worn accelerometry data were collected from 69 pupils, aged 10-14 years. Objective measures of sleep timing, sleep duration and circadian rest-activity patterns were derived. Questionnaires assessed subjective sleep timing, depressive symptoms, and experiences of wearing the accelerometer. Pupils slept on average less than 8 hours per night, failing to meet standard age-specific recommendations. Sleep timing was later and duration longer on weekends compared to weekdays (B = 0.87, 95% confidence interval (CI) 0.70, 1.04; B = 0.49, 95% CI 0.29, 0.69), indicating social jetlag. Lower daytime activity was correlated with higher depressive symptoms (r = -0.84, p = 0.008). Compared to primary school pupils, secondary pupils had shorter sleep window duration and lower circadian relative amplitude. Over half of participants reported some discomfort/inconvenience wearing the accelerometer. These data highlight that inadequate sleep is prevalent in this sample of schoolchildren. Future, larger scale investigations will examine in more detail the associations between sleep, circadian function and physical activity with mental health and wellbeing.


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