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Prevalence and associations of fatigue in psychosis: A systematic review and meta-analysis

  • Department of Psychological Medicine
  • Psychology and Neuroscience
  • King's College London
  • National Psychosis Unit
  • Professor of Molecular Psychiatry, MRC London Institute for Medical Sciences; and Institute of Psychiatry, Psychology and Neuroscience, Kings College London; and the South London and Maudsley NHS Foundation Trust, UK.
  • Department of Psychosis Studies

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: There is increasing interest in fatigue in people with psychotic illnesses. This systematic review and meta-analysis reviewed the evidence concerning the prevalence of fatigue and associated factors in adults with psychotic illnesses.

METHODS: Embase, PsycINFO, Medline and CINAHL were systematically searched for articles in English published between January 1946 to 9 October 2023. Inclusion criteria was 'fatigue' in adults (≥18 years old) with a confirmed ICD11 or DSM5 diagnosis of a psychotic disorder. Risk of bias was assessed with the JBI and the Newcastle-Ottawa Scale. Pooled proportions for fatigue with 95 % CI were calculated using random effects models. Heterogeneity was assessed using Cochran's Q and I 2 statistic and Egger's tests were conducted for publication bias.

RESULTS: A total of 57 articles met the inclusion criteria and 7 articles (n = 1161 participants) were included for the meta-analysis of fatigue. Fatigue prevalence was 55 % (95 % CI: 37-71 %, I 2 = 94 %). A sensitivity analysis of the 6 studies using a valid scale (n = 711 participants) found a fatigue proportion of 59 % (95 % CI: 41-76, I 2 = 93 %). Eighteen studies (n = 4569 participants) were included for an analysis exploring the prevalence of antipsychotic-related fatigue, which was 20.5 % (95 % CI: 11-34 %). We found no significant difference in antipsychotic-related fatigue between studies using a valid scale (27 %, 95 % CI: 14-46, k = 7) and studies using a clinical interview (17 %, 95 % CI: 7-35 %, k = 11) p = 0.302. An Egger's test indicated no publication bias. Quality assessments for included studies revealed that 16 % were at low risk of bias, 9 % at high risk and 75 % at moderate risk. Reported associations with fatigue included sex, age, antipsychotics, distress and depression, sleep, and some negative symptoms.

CONCLUSIONS: Our study revealed that a majority of people with psychosis experience fatigue. Antipsychotics, sex, and functioning may contribute to tiredness symptoms, but further research is needed.

Original languageEnglish
Pages (from-to)59-70
Number of pages12
JournalSchizophrenia Research
Volume279
DOIs
Publication statusPublished - May 2025

Keywords

  • Humans
  • Fatigue/epidemiology
  • Psychotic Disorders/epidemiology
  • Prevalence

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