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Mendeley readers
| Title |
High Resolution Examination of the Role of Sleep Disturbance in Predicting Functioning and Psychotic Symptoms in Schizophrenia: A Novel Experience Sampling Study
|
|---|---|
| Published in |
Journal of Psychopathology and Clinical Science, August 2016
|
| DOI | 10.1037/abn0000180 |
| Pubmed ID | |
| Authors |
Lee D. Mulligan, Gillian Haddock, Richard Emsley, Sandra T. Neil, Simon D. Kyle |
| Abstract |
Sleep disturbance is common in schizophrenia, but its role in predicting functioning and psychotic symptoms has yet to be rigorously examined. The purpose of this study was to conduct a prospective, high-resolution examination of the relationship between nightly sleep and next-day functioning and psychotic symptoms in people with a diagnosis of schizophrenia. Experience sampling methodology was integrated with actigraphy and sleep diaries across 7 days in 22 patients with a diagnosis of schizophrenia. Momentary assessments of mood, psychotic symptoms, and functioning were gathered at 5 points each day following pseudorandom schedules. Multilevel modeling was performed to evaluate the links between variables. Objective and subjective sleep disturbance predicted reduced next-day functioning, which remained significant after controlling for psychotic symptom severity. Increased sleep fragmentation and reduced subjective and objective sleep efficiency predicted greater next-day auditory hallucinations, whereas increased objective sleep fragmentation and reduced subjective sleep quality predicted greater paranoia and delusions of control. Negative affect on awakening mediated a proportion of these relationships (range: 17.9-57.3%). For the first time, we show that sleep disturbance is a predictor of next-day impaired functioning and psychotic symptom severity in people with a diagnosis of schizophrenia. Therefore, interventions targeting sleep may have the potential to directly and indirectly enhance functional and symptomatic recovery in those experiencing psychosis. (PsycINFO Database Record |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 158 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 19% |
| Student > Ph. D. Student | 22 | 14% |
| Student > Doctoral Student | 18 | 11% |
| Researcher | 17 | 11% |
| Student > Bachelor | 15 | 9% |
| Other | 20 | 13% |
| Unknown | 37 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 69 | 43% |
| Medicine and Dentistry | 19 | 12% |
| Nursing and Health Professions | 5 | 3% |
| Neuroscience | 5 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Other | 15 | 9% |
| Unknown | 43 | 27% |