Sleep Quality and Associated Factors Among Adult Cancer Patients on Treatments at Tikur Anbessa Specialized Hospital Oncology Unit, Addis Ababa, Ethiopia, 2021

Abstract

Background Patients with cancer frequently reported sleep problems during their treatments which can affect their sleep quality have an impact on patients’ quality of life (QOL). Objective to assess the prevalence of sleep quality and associated factors in adult cancer patients on treatment in the Oncology unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, 2021 Methods institutional-based cross-sectional study design was used and data was collected by using face-to-face structured interview questionnaires from March 1 to April 1, 2021. Sleep Quality Index (PSQI) consisted of 19 items, the social support scale (OSS-3) consisted of 3 items, and the Hospital Anxiety and Depression Scale (HADS) consisted of 14 items were applied. Logistic regression including bivariate and multivariate analysis was done to examine the association between dependent and independent variables, and P< 0.05 was considered the level of significance for associations. Results A total of 264 sampled adult cancer patients on treatments were included in this study, with a response rate of 93.61%. About 26.5% of the participants’ age distribution was between 40 to 49 years, and 68.6% were female. 59.8% of the study participants were married. Concerning education, about 48.9% of participants attended primary and secondary school and 45% of participants were unemployed. Overall, 53.79% of individuals had poor sleep quality. Low income ((AOR=5.36 CI 95% (2.23, 12.90), fatigue (AOR=2.89 CI 95(1.32, 6.33), pain (AOR 3.82 C I95 % (1.84, 7.93), poor of social support (AOR =3.20 CI 95% (1.43, 6.74), anxiety (AOR=3.48 CI 95% (1.44, 8.38) and depression (AOR 2.87 CI 95 % (1.05-7.391) were all associated with poor sleep quality. Conclusion This study revealed a high prevalence of poor sleep quality, which was significantly associated with factors like low income, fatigue, pain, poor social support, anxiety, and depression among cancer patients on treatments.

Anxiety and depression among cancer patients in Ethiopia: a systematic review and meta-analysis

“…Among the 17 studies included in this analysis, one study reported anxiety alone ( 28 ), five studies reported depression alone ( 15 , 16 , 29 – 31 ), while the remaining 11 studies reported both depression and anxiety ( 6 , 17 , 18 , 20 , 22 , 32 – 37 ). Correspondingly, the magnitudes of anxiety and depression were determined by pooling findings of 12 ( 6 , 17 , 18 , 20 , 22 , 28 , 32 – 37 ) and 16 ( 6 , 15 – 18 , 20 , 22 , 29 – 37 ) studies respectively. All included studies utilized institutional based cross-sectional study design with a sample size ranging from 77 ( 34 ), to 428 ( 31 ).…”

“…All included studies utilized institutional based cross-sectional study design with a sample size ranging from 77 ( 34 ), to 428 ( 31 ). Two studies included breast cancer patients only ( 31 , 33 ), while others included all malignancies ( 6 , 15 – 18 , 20 , 22 , 28 – 30 , 32 , 34 – 37 ). All included primary studies involved cancer patients who were receiving care.…”

“…All included primary studies involved cancer patients who were receiving care. Regarding the methods of diagnosis, 12 studies utilized the hospital anxiety and depression scale ( 6 , 17 , 18 , 20 , 22 , 28 , 32 – 37 ), while five studies used the patient health questionnaire ( 15 , 16 , 29 – 31 ). Nine of the studies were conducted in the national capital, Addis Ababa ( 15 , 18 , 22 , 28 – 33 ), whereas eight of the included studies were conducted in different regions of the country ( 6 , 16 , 17 , 20 , 34 – 37 ) ( Table 1 ).…”

Sleep quality and its associated factors among patients with type 2 diabetes mellitus in Hunan, China: a cross-sectional study

“…Furthermore, Das et al 44 found that unmarried individuals had a 5.01-fold higher risk of poor sleep quality (aOR 6.01, 95% CI 2.18 to 16.53). In addition, previous studies have shown that high household income is a protective factor against poor sleep quality 45 46. Specifically, Abebe et al 45 reported that low income (aOR 5.36, 95% CI 2.23 to 12.90) was associated with poor sleep quality, and Bedaso et al 46 found that those with an average monthly income of <1656 Ethiopian Birr had a twofold higher risk of poor sleep quality compared with their counterparts.…”

“…In addition, previous studies have shown that high household income is a protective factor against poor sleep quality. 45 46 Specifically, Abebe et al 45 reported that low income (aOR 5.36, 95% CI 2.23 to 12.90) was associated with poor sleep quality, and Bedaso et al 46 found that those with an average monthly income of <1656 Ethiopian Birr had a twofold higher risk of poor sleep quality compared with their counterparts. This could be explained by the negative emotions caused by the survival pressure on low-income earners, which may ultimately result in poor sleep quality.…”