Prevalence and Predictors of Sleep Disturbance, Anxiety and Depression among Patients with Chronic Respiratory Diseases

Yousef S. Aldabayan (), Jaber S. Alqahtani, Ahmed M. Al Rajeh, Amal Ismael Abdelhafez, Rayan A. Siraj, Vidhya Thirunavukkarasu and Abdulelah M. Aldhahir
Additional contact information
Yousef S. Aldabayan: Department of Respiratory Care, King Faisal University, Al Ahsa 31982, Saudi Arabia
Jaber S. Alqahtani: Department of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam 34313, Saudi Arabia
Ahmed M. Al Rajeh: Department of Respiratory Care, King Faisal University, Al Ahsa 31982, Saudi Arabia
Amal Ismael Abdelhafez: Department of Nursing, King Faisal University, Al Ahsa 31982, Saudi Arabia
Rayan A. Siraj: Department of Respiratory Care, King Faisal University, Al Ahsa 31982, Saudi Arabia
Vidhya Thirunavukkarasu: Department of Nursing, King Faisal University, Al Ahsa 31982, Saudi Arabia
Abdulelah M. Aldhahir: Respiratory Therapy Department, Jazan University, Jazan 45141, Saudi Arabia

IJERPH, 2022, vol. 19, issue 19, 1-11

Abstract: Background: Poor sleep quality, depression, and anxiety are common comorbidities among individuals with chronic respiratory diseases (CRDs). However, there has been no work to estimate their prevalence and assess their associations among the CRDs population in Saudi Arabia. Methods: A cross-sectional study was conducted in primary healthcare centers and included a total of 390 patients. Structured self-administered questionnaires were completed that included the Sleep Quality Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Score (HADS). Multiple linear regression analyses were performed to assess the associations between patients’ characteristics and sleep disturbance, anxiety and depression. Results: Poor sleep quality, depression, and anxiety affect 75%, 49.2%, and 36.4% of the study participants, respectively. The PSQI was significantly correlated with anxiety (r = 0.30) and depression (r = 0.16). Furthermore, a significant correlation was found between anxiety and depression (r = 0.44). The predictors of poor sleep quality were age, gender, and family history of CRDs, education level and anxiety and these variables accounted for 0.19% of the variance in PSQI. Variables that independently predicted an increased level of depression were age, gender, marital status, family history of CRDs, diagnosis, previous hospital admission, the presence of comorbidities, dyspnea last month and anxiety. On the other hand, the variables that independently predicted an increased level of anxiety were age, BMI, family history of CRDs, previous hospital admission, the presence of comorbidities, dyspnea last month and depression. Conclusion: Healthcare providers managing patients with CRDs should be alert to the high prevalence of poor sleep quality, depression, and anxiety. Appropriate interventions to reduce the prevalence should be developed and timely applied.

Keywords: sleep quality; anxiety; depression; respiratory diseases (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/19/12819/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/19/12819/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12819-:d:935026

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().