scholarly journals Sleep Quality and Associated Factors among Peoples with Epilepsy Who Have a Follow-Up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019: An Institutional Based Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kemeriya Adem ◽  
Tilahun Kassew ◽  
Addis Birhanu ◽  
Ayalew Abate
Keyword(s):  
Sleep Quality ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Specialized Hospital

Background. Sleep is an active cyclic biological phenomenon and necessary for survival. Individuals who suffer from sleep disturbance are less productive, decreased performance, and negative effects on mental health. Despite there are different studies on sleep quality in Ethiopia, no studies have been conducted on magnitude and predictors of sleep quality among people with epilepsy in the study setting. Objective. To assess sleep quality and associated factors among people with epilepsy who have a follow-up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019. Method. An institution-based cross-sectional study was employed from May-June 2019. Systematic random sampling following face to face interview technique was employed. Epi-data version 3.1 and SPSS version 25 statistical packages were used for data entry and analysis, respectively. Frequencies, proportions, means, SDs, and cross-tabulations were used to summarize descriptive statistics of the data and tables, texts, and graphs were used for data presentation. To identify association and significant predictor with the outcome variable, binary logistic regression was fitted. The variable which has statistical significance was identified on the basis of p values ≤ 0.05 and AOR with 95% confident intervals. Results. A total of 423 participants have been enrolled to the study with a response rate of 98.1%. The prevalence of poor sleep quality among peoples live with epilepsy was found 65.4% (95% CI: 61.0, 69.9). Being female (AOR=2.94; (95% CI; 1.79, 4.85)), having stress full life events (AOR=2.38; (95% CI; 1.43, 3.97)), nonadherent to AED medication (AOR=1.86; (95% CI; 1.05, 2.78), poly-therapy treatment (AOR=2.24; (95% CI; 1.05, 2.78)), poor seizer control (AOR=2.4; (95% CI; 2.21, 12.46)), comorbid medical illness (AOR=2.6; (95% CI; 1.18, 5.61)), and anxiety (AOR=2.54; (95% CI; 1.52,4.24)) were factors significantly associated with poor sleep quality. Conclusion. This study revealed that more than half of the study participants were found to have poor sleep quality. So, considering the regular assessment of sleep quality and factors associated followed with appropriate intervention is recommended among peoples living with epilepsy.

scholarly journals Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tamrat Anbesaw ◽  
Habtamu Abebe ◽  
Chalachew Kassaw ◽  
Tilahun Bete ◽  
Alemayehu Molla
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Associated Factors ◽  
Medical Center ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Southwest Ethiopia

Abstract Background Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020. Methods A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association. Results The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality. Conclusion This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

scholarly journals Prevalence and Associated Factors of Sleep Quality among Adults in Jimma Town, Southwest Ethiopia: A Community-Based Cross-Sectional Study

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hiwot Berhanu ◽  
Andualem Mossie ◽  
Samuel Tadesse ◽  
Daniel Geleta
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Multivariable Logistic Regression Analysis ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Khat Chewing

Background. An estimated 150 million people worldwide and nearly 17% of the populations in the developing nations are currently suffering from sleep problems. The aim of the present study was to determine the prevalence and associated factors of sleep quality among adults in Ethiopia.Method. A cross-sectional study was conducted on 422 randomly selected adults using validated and pretested Pittsburgh Sleep Quality Index. Data were entered into EpiData and analyzed using SPSS version 20 considering bivariable (Pvalue < 0.25) and multivariable(P<0.05)logistic regression procedures at 95% confidence interval.Result. The overall prevalence of poor sleep quality (PSQI score > 5) was 65.4% with higher proportion among males (79 (63.0%)) and age group of 40–49 years (174 (28.6%)). A multivariable logistic regression analysis indicated that age category of 40–49 years (AOR = 2 [95% CI (1.1, 3.6)])(P=0.03), monthly income ≤ 1000 ETB (AOR = 2.2 [95% CI (14, 3.5)])(P=0.01), current khat chewing (AOR = 1.8 [95% CI (1.1, 3.1)])(P=0.03), daily khat chewing (AOR = 3.4 [95% CI (1.2, 11.1)])(P=0.04), and obesity (AOR = 1.2 [95% CI (1.3, 2.5)])(P=0.03)were identified as risk factors of poor sleep quality.Conclusion. The current study is informative for government to work on poverty reduction, create awareness for weight reduction, and develop legislation for khat control to prevent poor sleep quality.

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Magnitude of internalised stigma and associated factors among people with bipolar disorder at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e044824
Author(s):  
Shegaye Shumet ◽  
Bethlehem W/Michele ◽  
Dessie Angaw ◽  
Temesgen Ergete ◽  
Nigus Alemnew
Keyword(s):  
Social Support ◽  
Bipolar Disorder ◽  
Associated Factors ◽  
Addis Ababa ◽  
Self Esteem ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Specialized Hospital ◽  
Poor Social Support

ObjectivesTo assess the magnitude of internalised stigma and associated factors among patients with bipolar disorder attending the outpatient department of Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.DesignInstitution-based cross-sectional study design.SettingAmanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.ParticipantsWe recruited about 418 participants using systematic sampling technique for an interview during the study period.MeasurementData were collected by face-to-face interviews. Internalized Stigma of Mental Illness scale was used to measure internalised stigma. The Rosenberg Self-Esteem Scale and the Oslo-3 Social Support were instruments used to assess the associated factors. Bivariate and multivariate logistic regressions were performed to identify factors associated with the outcome variable. ORs with 95% CI were computed to determine the level of significance.ResultsThe magnitude of internalised stigma was 24.9% (95% CI: 21.2% to 28.9%). In the multivariate analysis, unemployed (adjusted OR (AOR)=2.3, 95% CI: 1.0 to 5.0), unable to read and write (AOR=3.3, 95% CI: 1.05 to 10.7), poor social support (AOR=5.3, 95% CI: 1.9 to 15.0), ≥4 previous hospitalisations due to bipolar disorder (AOR=2.6, 95% CI: 1.1 to 6.1) and low self-esteem (AOR=2.4, 95% CI: 1.1 to 5.1) had a significant association with internalised stigma.ConclusionsOne in four patients with bipolar disorder reported high internalised stigma. Unemployment, low educational status, low self-esteem, poor social support and being hospitalised more than three times before were significantly associated with internalised stigma. Thus, a stigma-reduction programme focusing on self-esteem improvement and psychological health of patients to increase their stigma resistance to counteracting effects of internalised stigma is essential.

scholarly journals Person-Centered Maternity Care During Childbirth and Associated Factors at Selected Public Hospitals in Addis Ababa, Ethiopia, 2021: A Cross-Sectional Study

2021 ◽  
Author(s):  
Azezew Ambachew Tarekegne ◽  
Berhanu Wordofa Giru ◽  
Bazie Mekonnen
Keyword(s):  
Health Care Providers ◽  
Maternity Care ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Public Hospitals ◽  
Care Providers ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background: Person-centered maternity care is respectful and responsive care to individual women’s preferences, needs, and values and ensuring that their values guide all clinical decisions during childbirth. It is recognized as a key dimension of the quality of maternity care that increases client satisfaction and institutional delivery. However, little research has been conducted about person-centered maternity care in Ethiopia. Objective: The aim of this study was to assess the status of person-centered maternity care and associated factors among mothers who gave birth at selected public hospitals in Addis Ababa city, Addis Ababa, Ethiopia, 2021.Method: A facility-based cross-sectional study was conducted at selected public hospitals in Addis Ababa city. A semi-structured questionnaire was used to collect data from post-natal mothers selected by systematic random sampling. The data was coded and entered using Epi-data version 4.6 and analyzed using SPSS version 25. Bivariate and multivariable linear regression analysis was used to identify factors associated with person-centered maternity care. The strength of association between independent and dependent variables was reported by using unstandardized β at 95% CI and p-value < 0.05 were considered statistically significant.Results: In this study 384 mothers were participated with a response rate of 99.2%. The overall prevalence of person-centered maternity care was 65.8%. Respondents who had no ANC follow-up (β= -5.39, 95% CI: -10.52, -0.26), <4 ANC follow up (β= -3.99, 95% CI: -6.63, -1.36), night time delivery (β= -3.95, 95% CI: -5.91, -1.98) and complications during delivery (β= -3.18, 95% CI: -6.01, -0.35) were factors significantly associated with person-centered maternity care.Conclusion and Recommendations: The finding of this study showed that the proportion of person-centered maternity care among mothers who gave birth in public hospitals of Addis Ababa was high as compared to previous studies. The factors affecting person-centered maternity care are manageable to interventions. Therefore, Health care providers need to provide person-centered maternity care for all mothers.

scholarly journals Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p &lt; 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

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