Subjective-Objective Sleep Discrepancy in Schizophrenia

Chung, Ka Fai; Poon, Yvonne Patricia Yuan-Ping; Ng, Ting-Kin; Kan, Chui-Kwan

doi:10.1080/15402002.2019.1656077

Cited by 14 publications

(5 citation statements)

References 46 publications

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“…Few studies have objectively employed physiological measures of chronotype, such as wrist accelerometry, body temperature, and hormone measurement ( Kivela et al, 2018 ), because objective measures are not feasible within a large population sample ( Evans et al, 2021 ). In particular, there is a discrepancy between subjective and objective measures, which may obstruct the experimental results ( Chung et al, 2020 ). The third is the variability of chronotypes.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Chronotype, circadian rhythm, and psychiatric disorders: Recent evidence and potential mechanisms

et al. 2022

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The circadian rhythm is crucial for physiological and behavioral functions. Chronotype, which represents individual preferences for activity and performance, is associated with human health issues, particularly psychiatric disorders. This narrative review, which focuses on the relationship between chronotype and mental disorders, provides an insight into the potential mechanism. Recent evidence indicates that (1) the evening chronotype is a risk factor for depressive disorders and substance use disorders, whereas the morning chronotype is a protective factor. (2) Evening chronotype individuals with bipolar disorder tend to have more severe symptoms and comorbidities. (3) The evening chronotype is only related to anxiety symptoms. (4) The relationship between chronotype and schizophrenia remains unclear, despite increasing evidence on their link. (5) The evening chronotype is significantly associated with eating disorders, with the majority of studies have focused on binge eating disorders. Furthermore, the underlying mechanisms or influence factors are described in detail, including clock genes, brain characteristics, neuroendocrinology, the light/dark cycle, social factors, psychological factors, and sleep disorders. These findings provide the latest evidence on chronotypes and psychiatric disorders and serve as a valuable reference for researchers.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Chronotype, circadian rhythm, and psychiatric disorders: Recent evidence and potential mechanisms

et al. 2022

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“…[33][34][35][36] Sleep quantification by subjective diary and by the objective accelerometer is quite different, as previously reported. 37,38 The location for placement of the accelerometer for PA measurement may be another reason. The accelerometer was worn on the nondominant wrist in the current study as well as in the previous study, 33 and it was worn on the waist in the other 3 studies.…”

Section: Discussionmentioning

confidence: 99%

Fluctuations in Self-Reported Symptoms Predict Objective Physical Activity in Adults With Type 2 Diabetes

Zhu

Chen

Kim

et al. 2021

The Science of Diabetes Self-Management and Care

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Purpose The purpose of this study was to examine the association between self-reported symptoms including fatigue and sleep disturbance with moderate-intensity physical activity among adults with type 2 diabetes. Methods This report was a secondary analysis of a cross-sectional study. Data from 53 participants with at least 6 days of repeated measures were used. Daytime physical activity and energy expenditure were assessed using a wrist-worn accelerometer at the free-living setting. Fatigue upon awakening was measured using a 0 to 10 scale. Sleep (eg, restorative sleep, sleep duration, and sleep efficiency) was measured using the Consensus Sleep Diary for Morning. Data were analyzed using linear mixed models by including within- and between-person effects. Results Participants were predominantly females (54.7%) with a mean age of 60.3 years. Controlling for the covariates, at the individual level (within-person), fluctuations in restorative sleep and fatigue upon awakening predicted moderate-intensity PA. Similarly, at the individual level, fluctuations in restorative sleep and fatigue upon awakening predicted average hourly energy expenditure. However, at the group level (between-person), no significant associations were found between fatigue and restorative sleep with moderate-intensity physical activity. Conclusions The study findings suggest that within-person fluctuations in fatigue and restorative sleep upon awakening predict daytime moderate-intensity physical activity. At the individual level, reducing fluctuations in fatigue and restorative sleep might encourage participation in physical activity. More research is warranted to uncover the underlying causes of fluctuations in fatigue and restorative sleep. Meanwhile, diabetes care and education specialists should pay attention to the within-person fluctuations of fatigue and sleep.

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“… 32 Dyssomnia is a broad symptom that can be assessed subjectively or objectively using various psychometric tests, and also electrophysiological examination using polysomnography. 37 , 38 Thus, further research is warranted to assess sleep parameters deeply and set cut-off scores that may be used as prognosticators for the risk of relapse among other mental disorders.…”

Section: Discussionmentioning

confidence: 99%

Polysomnographic Correlates for the Risk of Relapse in Detoxified Opiate-Misuse Patients

Rady¹,

Mekky²,

Moulokheya³

et al. 2020

NDT

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Introduction Substance abuse is a complex issue requiring multi-disciplinary management. Protracted abstinence syndrome leads to persistent discomfort even after detoxification lasting months, resulting in poor sleep duration and quality. Despite being a major contributor to relapse and sleep disturbances, no objective assessment procedures to monitor sleep after the detoxification have been reported. The study aims to assess sleep structure after detoxification via polysomnography and psychometrically assess sleep over the next 6 months in abstinent and relapsing patients. Methods Sixty successfully detoxified males (35.8 ± 7.3 years) with a history of heroin abuse (DSM-V) (mean composite scores (ASI): 1.3 ± 0.06, 3.48 ± 0.38, 5.45 ± 0.63, 1.2 ± 0.19, 3.93 ± 0.9, and 2.61 ± 0.8 for medical status, employment/support status, alcohol/drugs status, legal status, family/social relationships, and psychiatric status, respectively) were recruited immediately following their detoxification, without giving additional psychoactive substances or medications. Polysomnography was done in the second week following detoxification to allow washout of medications, followed by a monthly sleep assessment through sleep diary and daytime sleepiness using a visual analog scale. Relapse was proved by a urine test. Polysomnographic parameters and ASI subscales for relapsing and non-relapsing participants were compared using a 2-tailed Student’s t -test (p<0.05). Results Eighteen participants relapsed by 6 months (12 by 3 months). Only the ASI legal problems score was significantly different for the two groups (p=0.001). The differences were significant for NREM stages I (p=0.001) and II (p=0.002), bilateral limb movement (p=0.009), and arousal indices (p=0.001). Conclusion Measuring polysomnographic parameters (percentage of NREM I and II, arousal index, and limb movement index) for sleep disturbance in detoxified heroin-abuse patients can be potential predictors for relapse in a 6-month follow-up.

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Subjective-Objective Sleep Discrepancy in Schizophrenia

Cited by 14 publications

References 46 publications

Chronotype, circadian rhythm, and psychiatric disorders: Recent evidence and potential mechanisms

Chronotype, circadian rhythm, and psychiatric disorders: Recent evidence and potential mechanisms

Fluctuations in Self-Reported Symptoms Predict Objective Physical Activity in Adults With Type 2 Diabetes

Polysomnographic Correlates for the Risk of Relapse in Detoxified Opiate-Misuse Patients

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