Assessment of sleep quality and its predictors among newly diagnosed psychiatric patients

© 2021 Walter de Gruyter GmbH, Berlin/Boston..

OBJECTIVES: Poor sleep is a vital symptom observed in many psychiatric conditions and is the most neglected and underdiagnosed. The current study aims at assessment of sleep quality among psychiatric patients using the Pittsburgh Sleep Quality Index (PSQI) scale and to identify the predictors of sleep quality.

METHODS: A hospital-based cross-sectional observational study conducted in the Psychiatry department with a sample size of 256 patients for six months. PSQI scale was used to assess sleep quality and multiple logistic regression was used (to identify) the predictors for poor sleep quality.

RESULTS: The mean age of the study population was 37.95 ± 14.11 years, with 148 (58%) male study participants. 192 (75%) of the study population had poor sleep quality with respect to PSQI scale with a mean score of 9.05 ± 4.65 that was well above the expected range (0-5) suggestive of compromised quality of sleep (p=0.001). Poor sleep satisfaction, waking up after the sleep onset, anorexia, day time drowsiness and at least one completely sleepless night in the past one week of admission were identified as good predictors for poor sleep quality.

CONCLUSIONS: Our study addresses the importance of assessing sleep quality regardless of the psychiatric conditions. We recommend screening patients if they have Poor sleep satisfaction, waking up after the sleep onset, anorexia, day time drowsiness or at least one completely sleepless night in the past one week of admission predictors for comorbid sleep disorders.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:33

Enthalten in:

Journal of basic and clinical physiology and pharmacology - 33(2021), 4 vom: 19. Apr., Seite 439-444

Sprache:

Englisch

Beteiligte Personen:

Singh, Hemendra [VerfasserIn]
Shreyash, Gandlamandakal [VerfasserIn]
Ramappa, Sureshbabu Angondahalli [VerfasserIn]
Kanneganti, Sri Prathima [VerfasserIn]
Subeesh, Viswam [VerfasserIn]

Links:

Volltext

Themen:

Insomnia
Journal Article
Observational Study
PSQI scale
Predictors
Sleep disorders

Anmerkungen:

Date Completed 30.08.2022

Date Revised 30.08.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1515/jbcpp-2020-0319

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM324213654