Dataset Information

Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial.

ABSTRACT:

Aim

To characterize subjective sleep quality and examine its associations with mental health, physical health and health behaviours in a transdiagnostic sample of young adults with serious mental illness (SMI) enrolled in a lifestyle intervention trial.

Methods

Baseline data from a lifestyle intervention trial with young adults (ages 18-35 years) with SMI included the Pittsburgh Sleep Quality Index (PSQI), mental health, physical health and health behaviour outcomes. Descriptive statistics and multiple linear regression were used in analyses.

Results

Of 150 participants, 76% were categorized with poor sleep quality. Depressive symptoms were significantly associated with sleep quality (β = .438, p < .001); however, no association was found with physical health and health behaviours.

Conclusions

Young adults with SMI enrolled in lifestyle interventions may benefit from treatment that addresses sleep as part of a comprehensive approach to health promotion with attention to the role of depressive symptoms in sleep quality.

SUBMITTER: Aschbrenner KA

PROVIDER: S-EPMC10047807 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Publications

Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial.

Aschbrenner Kelly A KA Naslund John A JA Salwen-Deremer Jessica K JK Browne Julia J Bartels Stephen J SJ Wolfe Rosemarie S RS Xie Haiyi H Mueser Kim T KT

Early intervention in psychiatry 20210216 1

<h4>Aim</h4>To characterize subjective sleep quality and examine its associations with mental health, physical health and health behaviours in a transdiagnostic sample of young adults with serious mental illness (SMI) enrolled in a lifestyle intervention trial.<h4>Methods</h4>Baseline data from a lifestyle intervention trial with young adults (ages 18-35 years) with SMI included the Pittsburgh Sleep Quality Index (PSQI), mental health, physical health and health behaviour outcomes. Descriptive s ...[more]

PMID: 33594828

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Project description:Background: Deep Phenotyping is the precise and comprehensive analysis of phenotypic features in which the individual components of the phenotype are observed and described. In UK mental health clinical practice, most clinically relevant information is recorded as free text in the Electronic Health Record, and offers a granularity of information beyond what is expressed in most medical knowledge bases. The SNOMED CT nomenclature potentially offers the means to model such information at scale, yet given a sufficiently large body of clinical text collected over many years, it is difficult to identify the language that clinicians favour to express concepts. Methods: By utilising a large corpus of healthcare data, we sought to make use of semantic modelling and clustering techniques to represent the relationship between the clinical vocabulary of internationally recognised SMI symptoms and the preferred language used by clinicians within a care setting. We explore how such models can be used for discovering novel vocabulary relevant to the task of phenotyping Serious Mental Illness (SMI) with only a small amount of prior knowledge. Results: 20 403 terms were derived and curated via a two stage methodology. The list was reduced to 557 putative concepts based on eliminating redundant information content. These were then organised into 9 distinct categories pertaining to different aspects of psychiatric assessment. 235 concepts were found to be expressions of putative clinical significance. Of these, 53 were identified having novel synonymy with existing SNOMED CT concepts. 106 had no mapping to SNOMED CT. Conclusions: We demonstrate a scalable approach to discovering new concepts of SMI symptomatology based on real-world clinical observation. Such approaches may offer the opportunity to consider broader manifestations of SMI symptomatology than is typically assessed via current diagnostic frameworks, and create the potential for enhancing nomenclatures such as SNOMED CT based on real-world expressions.

Project description:BackgroundSerious mental illnesses (SMI) such as schizophrenia and bipolar disorder first develop between ages 14 and 25. Once diagnosed, young peoples' health can deteriorate, and it is therefore vital to detect this early to prevent severe outcomes including hospitalisations and deaths by suicide. The main study aim is to describe and discuss observational studies that examine signs of deterioration in young patients with SMI.MethodsA systematic review guided by the published protocol was conducted. Cumulative Index to Nursing and allied Health Literature (CINAHL), MEDLINE, Embase, PsycINFO, Health Management Information Consortium (HMIC) and Web of Science were searched against pre-defined criteria until 1 March 2021. Observational studies were extracted according to design, country, participant, indicator, outcome and main finding categories. Quality was assessed independently using the Newcastle Ottawa Scale (NOS).ResultsOf the 15,788 publications identified, 5 studies were included and subjected to narrative synthesis. Two indicators of mental health deterioration were identified: cognitive functioning (decline, worsening and poor school/academic performance) and expressed emotion status. Indicators revealed mixed views on predicting deterioration. Worsening cognitive functioning and expressed emotion status significantly predicted medication non-adherence and relapse respectively. However, a decline in cognitive functioning (poor academic performance) was not found to significantly correlate to deaths by suicide. Study quality was mostly poor and associations between indicators and varied outcomes were weak. The heterogeneous nature of the data made comparisons difficult and did not allow for further statistical analysis.ConclusionTo our knowledge, this is the first review of observational studies to identify indicators of deterioration in young patients with SMI. Worsening cognitive functioning and expressed emotion status could indicate non-adherence and relapse in young patients with SMI but larger sample sizes in good quality studies are needed. The dearth of observational studies means further research is required to ascertain other indicators of deterioration before serious outcomes occur.FundingThis work was supported by the National Institute for Health Research (NIHR) Imperial Patient Safety Translational Research Centre via an NIHR programme grant. The authors are also grateful for support from the NIHR under the Applied Health Research programme for North West London and the NIHR Imperial Biomedical Research Centre. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Trial registrationThis systematic review has been registered on PROSPERO (registration number: CRD42017075755 ).

Dataset Information

Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial.

Aim

Methods

Results

Conclusions

Publications

Sleep quality and its relationship to mental health, physical health and health behaviours among young adults with serious mental illness enrolled in a lifestyle intervention trial.

Similar Datasets

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