Sleep disturbances and the At Risk Mental State: A systematic review and meta-analysis

Clarke, Latoya; Chisholm, Katharine; Cappuccio, Francesco P.; Tang, Nicole K. Y.; Miller, Michelle A.; Elahi, Farah; Thompson, Andrew

doi:10.1016/j.schres.2020.06.027

Cited by 27 publications

(33 citation statements)

References 80 publications

(111 reference statements)

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“…The definition and measurement of sleep duration should be more precise and objective, such as considering naps, sleep quality and other factors that may affect sleep. At the same time, researchers should focus on the effects of other chronic or psychiatric diseases (47) on both sleep duration and obesity, identifying whether these factors are confounding factors or mediations and control if it is defined as a confounding factor (15).…”

Section: Discussionmentioning

confidence: 99%

Short duration of sleep and incidence of overweight or obesity in Chinese children and adolescents: A systematic review and meta-analysis of prospective studies

Guo

Miller

Cappuccio

2021

Nutrition, Metabolism and Cardiovascular Diseases

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Section: Discussionmentioning

confidence: 99%

Short duration of sleep and incidence of overweight or obesity in Chinese children and adolescents: A systematic review and meta-analysis of prospective studies

Guo

Miller

Cappuccio

2021

Nutrition, Metabolism and Cardiovascular Diseases

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“…Here, we presented a review and meta-analysis of a large range of sleep measures in early stages of psychotic (UHR-P, FE-P, FE-SZ) and bipolar disorders (UHR-BD). The methodological novelty of the present updated meta-analysis was to combine stringent inclusion criteria similar to previous reviews (Clarke et al, 2020;Davies et al, 2017) Figure 2. Meta-analyses effect sizes (Cohen's d) of comparisons of sleep measures between individuals at early stages of psychotic and bipolar disorders and healthy controls.…”

Section: Discussionmentioning

confidence: 99%

“…Sleep disturbances can be measured as sleep complaints according to sleep questionnaires, sleep continuity, duration and initiation parameters modifications according to actigraphy or polysomnography, and sleep architecture modification according to polysomnography. High-quality reviews and meta-analyses have already demonstrated significant disturbances of these measures in UHR and FE populations (Clarke et al, 2020; Davies et al, 2017). However, no quantitative analyses to date have synthesized sleep measures differences including early stages all at once, as well as comparisons between those stages.…”

Section: Introductionmentioning

confidence: 99%

Sleep disturbances in early clinical stages of psychotic and bipolar disorders: A meta-analysis

Dondé

Jaffiol

Khouri

et al. 2021

Aust N Z J Psychiatry

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Objective: To provide a qualitative view and quantitative measure of sleep disturbances across and between early stages – clinical ultra high-risk and first episode – of psychotic and bipolar disorders. Methods: Electronic databases (PubMed, Cochrane, Embase, PsychINFO) were searched up to March 2021 for studies comparing sleep measures between individuals with an early stage and controls. Standard mean deviations (Cohen’s d effect sizes) were calculated for all comparisons and pooled with random-effects models. Chi-square tests were used for direct between-subgroups (ultra high-risk vs first episode) comparisons of standard mean deviations. The effects of age, sex ratio, symptoms and treatment were examined in meta-regression analyses. Results: A database search identified 13 studies that contrasted sleep measures between individuals with an early stage ( N = 537) and controls ( N = 360). We observed poorer subjective sleep quality (standard mean deviation = 1.32; 95% confidence interval, [1.01, 1.62]), shorter total sleep time (standard mean deviation =−0.44; 95% confidence interval, [−0.67, −0.21]), lower sleep efficiency (standard mean deviation = −0.72; 95% confidence interval, [−1.08, −0.36]), longer sleep onset latency (standard mean deviation = 0.75; 95% confidence interval, [0.45, 1.06]) and longer duration of wake after sleep onset (standard mean deviation = 0.49; 95% confidence interval, [0.21, 0.77]) were observed in early stages compared to controls. No significant differences were observed for any of the reported electroencephalographic parameters of sleep architecture. No significant between-subgroups differences were observed. Meta-regressions revealed a significant effect of the age and the antipsychotic status on subjective measures of sleep. Conclusion: The early stage population presents with significant impairments of subjective sleep quality continuity, duration and initiation. Systematic assessments of sleep in early intervention settings may allow early identification and treatment of sleep disturbances in this population.

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“…Sleep subdomain . Sleep problems are of increasing interest with respect to a broad range of psychological ill-health in clinical, non-clinical, and high-risk populations [ 25 , 90 , 91 ], and especially in adolescents at high risk for schizophrenia. Sleep problems take many forms, including sleep onset difficulty associated with anxiety, stress or rumination, early awakening, nightmares, and chronic insomnia.…”

Section: Methodsmentioning

confidence: 99%

Domains of Vulnerability, Resilience, Health Habits, and Mental and Physical Health for Health Disparities Research

Wolfe

Beck-Felts

Speakar

et al. 2022

Behavioral Sciences

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Health disparities associated with severe mental illness (SMI) have become a major public health concern. The disparities are not directly due to the SMI. They involve the same leading causes of premature death as in the general population. The causes of the disparities are therefore suspected to reflect differences in health-related behavior and resilience. As with other problems associated with SMI, studying non-clinical populations at risk for future onset provides important clues about pathways, from vulnerability to unhealthy behavior and compromised resilience, to poor health and reduced quality of life. The purpose of this study was to identify possible pathways in a sample of public university students. Four domains of biosystemic functioning with a priori relevance to SMI-related vulnerability and health disparities were identified. Measures reflecting various well-studied constructs within each domain were factor-analyzed to identify common sources of variance within the domains. Relationships between factors in adjacent domains were identified with linear multiple regression. The results reveal strong relationships between common factors across domains that are consistent with pathways from vulnerability to health disparities, to reduced quality of life. Although the results do not provide dispositive evidence of causal pathways, they serve as a guide for further, larger-scale, longitudinal studies to identify causal processes and the pathways they follow to health consequences.

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Sleep disturbances and the At Risk Mental State: A systematic review and meta-analysis

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 27 publications

References 80 publications

Short duration of sleep and incidence of overweight or obesity in Chinese children and adolescents: A systematic review and meta-analysis of prospective studies

Short duration of sleep and incidence of overweight or obesity in Chinese children and adolescents: A systematic review and meta-analysis of prospective studies

Sleep disturbances in early clinical stages of psychotic and bipolar disorders: A meta-analysis

Domains of Vulnerability, Resilience, Health Habits, and Mental and Physical Health for Health Disparities Research

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