Sleep quality among youngster in Danang city, Vietnam: A cross-sectional study

2021 ◽  
Vol 05 (02) ◽  
pp. 31-40
Author(s):  
Nguyen Nhat Linh Hoang ◽  
◽  
Vuong Diem Khanh Doan ◽  
Thi Dang Thu Nguyen ◽  
Thi Hong Nhi Nguyen

Objectives: Sleep is a normal physiological process of the body. Sleep impacts on many aspects of health and quality of life at all ages. There are many risk factors associated with sleep deprivation or poor sleep quality: physical health problems such as diabetes and cardiovascular disease; mental health issues like depression; traffic and occupational accident. The study was conducted with the aims of understanding the sleep quality situation of youngster aged 16-30 years in Da Nang City, Vietnam, and determining the factors related to the sleep quality of the study participants. Methods: A descriptive cross-sectional study was conducted on adolescents living in Da Nang City, Vietnam. The information was collected by using a structured questionnaire. Multivariate logistic regression analysis was used to identify the risk factors associated with the sleep quality among adolescents. Results: The proportion of the adolescents who suffered from poor sleep quality was 31.1%. The results of multivariate logistic regression analysis indicated that there were the relationships between sleep quality and living in Hoa Vang District; occupations were student, worker, or officer; finishing working/studying time after 7 pm; regularly use and dependent on the internet; having stress; having pressure on study/work, overeating before going to bed, rarely or sometimes staying up late, lying postures were laying up, lie on the left side and other postures; hand posture when sleeping. Conclusion: The proportion of adolescents living in Da Nang City with good sleep quality was not high. The government needs to propagandize and mobilize people, especially young people in terms of the impacts of sleep quality on health, thereby improving sleep quality to help young people in good condition, helping the country and defending the country. Keywords: Sleep quality, adolescents, Da Nang City

2019 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Andréia Ferreira dos Santos ◽  
Fernanda Carneiro Mussi ◽  
Cláudia Geovana da Silva Pires ◽  
Melissa Almeida Santos Paim ◽  
Fernanda Michelle Santos e Silva ◽  
...  

Objective: To describe the sleep quality of nursing students according to the Pittsburgh Sleep Quality Index.Methods: This is a cross-sectional study conducted with 286 nursing students from a public institution in Salvador, Bahia. Data gathering instruments were applied in classrooms and data were assessed in absolute and relative frequencies, means and standard deviation.Results: The mean age of participants was 23.48 years (SD = 4.421). Most of students were female (90.2%), single with partner (90.9%), afro descendent (87.8%), unemployed (81.5%), total Family income below than four minimum wages (47.2%), enrolled between 6th and 10th  semester (54.5%), attending academic activities in two or three shifts (80.8%). Sample showed poor sleep quality (86.4%), especially due to the sleep duration, sleep disturbances and daytime disfunction.Conclusions: Poor sleep quality was prevalent in the sample, what rises the need of further analysis of the associated factors and interventions to change this reality.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S43-S43
Author(s):  
Syed Muhammad Jawad Zaidi ◽  
Mehwish Kaneez ◽  
Javeria Awan ◽  
Hamza Waqar Bhatti ◽  
Muhammad Hamza ◽  
...  

AimsDepression is a fairly common finding among end-stage renal disease (ESRD) patients on hemodialysis and is an independent risk factor for morbidity and mortality. The psychiatric manifestations of the disease may affect their compliance to medications and alter sleep quality that is often overlooked by nephrologists. This translates into poor quality of life and poorer disease prognosis. Thus, Our study aims to assess the prevalence of depression and its association with compliance to medical therapy and sleep quality among ESRD patients on hemodialysis.MethodIn this cross-sectional study, a total of 288 hemodialysis patients with a confirmed diagnosis of ESRD were evaluated for depression using Patient Health Questionnaire-9 (PHQ-9) scale. Only the patients with moderate to severe depressive symptoms on PHQ-9 were further evaluated for sleep quality and compliance to medications using the Pittsburgh Sleep Quality Index (PSQI) and Drug Attitude Inventory-10 (DAI-10) respectively. The characteristics of ESRD patients with depression were also assessed. Median PHQ-9, DAI-10, and PSQI scores were calculated and the correlation between study variables was assessed using spearman's correlation.ResultOf the 288 included participants, 188 (65.27%) had depression as evaluated via PHQ-9. Of these 188 patients, 114 were males while 74 were females. A total of 113 (60.01%) of the depressed patients had poor compliance with medication while 137 (72.87%) patients had poor sleep quality. Higher PHQ-9 scores were positively correlated with disease duration, dialysis years, and time between diagnosis and therapy (r = 0.41, 0.39, and 0.43 respectively) and negatively with marital and employment status (r = −0.32 and −0.49 respectively). Spearman's correlation matrix showed that PHQ-9 scores were negatively correlated with DAI-10 but positively correlated with PSQI scores.ConclusionThe study indicates a high prevalence of depression among ESRD patients on hemodialysis. Poor sleep quality and non-adherence to medications are extremely common among ESRD patients with depression. These psychiatric components must be considered to optimize medical treatment and improve the quality of life in this subset of patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

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.


2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kemeriya Adem ◽  
Tilahun Kassew ◽  
Addis Birhanu ◽  
Ayalew Abate

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.


2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng

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 < 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.


2021 ◽  
Author(s):  
Naveen Siddique Sheikh ◽  
Aiza Anwar ◽  
Iqra Pervaiz ◽  
Zunaira Arshad ◽  
Huma Saeed Khan ◽  
...  

Background and objectives: The COVID-19 pandemic has been recognized as a cause of direct and indirect psychological consequences that impact mental health such as acute stress disorders, anxiety, irritability, poor concentration, and insomnia. This study was planned to evaluate the sleep quality and mental health of undergraduate students amidst the COVID-19 lockdown of 2021. Materials and Methods: This observational cross-sectional study was conducted in Lahore, Pakistan, where 261 undergraduate medical and dental students enrolled at a private medical and dental school were approached from March to May 2021. The Pittsburg Sleep Quality Index (PSQI) was used to identify the sleep quality along with the Generalized Anxiety Disorder Scale (GAD-7) to establish anxiety symptoms and the Physical Health Questionnaire (PHQ-9) for depression symptoms. Results: The results show that 212 (81.2%) female and 49 (18.8%) male students participated in the study. Of the participants 75.1% experienced poor sleep quality, 90% had symptoms of depression, and 85.4% had symptoms of anxiety. The mean score on the PSQI scale was 8.59+4.10, on the GAD-7 scale was 11.36+5.94 and on the PHQ-9 scale was 13.70+6.81. Multiple regression analysis showed that anxiety symptoms (β = 0.315, p = 0.000) and depression symptoms (β = 0.398, p = 0.000) were significant predictors of sleep quality amongst the undergraduate medical and dental students. Conclusion: A high majority of the study participants are experiencing poor sleep quality along with suffering from depression and anxiety amidst the COVID-19 lockdown. It is concluded from the analysis that anxiety and depression symptoms are significant predictors of sleep quality. Relevant authorities need to set up systems that help undergraduate medical students in alleviating and coping with these symptoms midst the COVID-19 pandemic.


2020 ◽  
Author(s):  
Sultan Qanash ◽  
Faisal Al-Husayni ◽  
Haneen Falata ◽  
Ohud Halawani ◽  
Enas Jahra ◽  
...  

BACKGROUND Sleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns. OBJECTIVE This study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia. METHODS A descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents–short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA). RESULTS The median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score >31 males and >33 females) was significantly associated with poor sleep quality (PSQI >5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (<4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA. CONCLUSIONS Electronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tamrat Anbesaw ◽  
Habtamu Abebe ◽  
Chalachew Kassaw ◽  
Tilahun Bete ◽  
Alemayehu Molla

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.


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