scholarly journals The quality and characteristics of sleep of hypertensive patients

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.

2017 ◽  
Vol 56 (5) ◽  
pp. 272 ◽  
Author(s):  
Arie Taufansyah P. Nasution ◽  
Rafita Ramayati ◽  
Sri Sofyani ◽  
Oke RRna Ramayani ◽  
Rosmayanti Siregar

Background Adolescents with hypertension are at risk of morbidity and mortality due to cardiovascular problems in later life. Hypertension may be influenced by poor quality of sleep, so early detection of hypertension and ensuring good quality of sleep in adolescence is needed.Objective To assess for a possible association between poor sleep quality and hypertension in adolescents.Methods We conducted a cross-sectional study from January to March 2013 in Mustafawiyah Boarding School, Mandailing Natal, North Sumatera. Subjects’ quality of sleep was assessed by the Pittsburgh Sleep Quality Index (PSQI) questionnaire and their systolic and diastolic blood pressures were measured. Quality of sleep was categorized as either good or poor. Blood pressure was categorized as either normotensive or hypertensive. An association between poor sleep quality and hypertension was analyzed by Chi-square test.Results Two hundred forty adolescents participated in this study, of whom 210 (87.5%) subjects were normotensive and 30 (12.5%) subjects were hypertensive. We found higher systolic blood pressure [114.9 (SD 11.7) vs. 109.5 (SD 10.5) mmHg as well as diastolic blood pressure [74 (SD 9.1) vs. 69.9 (SD 7.5) mmHg in adolescents with poor sleep quality compared to  those with good sleep quality (P=0.001).Conclusion Poor sleep quality is associated with hypertension in adolescents.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Tirusew Wondie ◽  
Alemayehu Molla ◽  
Haregewoin Mulat ◽  
Woynabeba Damene ◽  
Mengistu Bekele ◽  
...  

Abstract Purpose Poor quality of sleep has a negative effect on academic performance of medical students. Quantity and quality of sleep in addition to average sleep time are strongly linked with students’ learning abilities, poor academic performance and poor interpersonal relationship which predispose them to mental illnesses. This study is aimed to assess magnitude and correlates of sleep quality among medical students in Ethiopia. Method An institutional based cross-sectional study was conducted among 576 undergraduate medical students. Data was collected by using interviewer administered structured questionnaires. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. The collected data were entered in to Epi-data version 3.1and analyzed using SPSS version 20. Logistic regression was used to identify the potential determinants of quality of sleep among undergraduate medical students. P-values less than 0.05 were considered statistically significant and strength of the association was presented by adjusted odds ratio with 95% C.I. Result The prevalence of poor sleep quality among undergraduate medical students was 62% (95%CI, 57.9, 65.3). The mean age (±SD) of the respondents was 21.5(±2.4), with age ranging from 18 to 28 and about 310 (53.8%) were males. Factors like, being depressed (AOR = 1.92,95%CI 1.16,3.19), poor social support (AOR = 5.39,95%CI 2.33,2.49), being stressed (AOR = 2.04,95%CI 1.26,3.31), and poor sleep hygiene (AOR = 3.01,95%CI 1.75,5.18) were associated with poor sleep quality at p-value < 0.05. Findings also showed that, one unit increase in grade point average was associated with 81.5% decrease (AOR = 0.185, 95%CI 0.13, 0.28) in poor sleep quality. Conclusion A substantial proportion of medical students are affected by poor sleep quality. Routine screening of sleep quality, sleep hygiene, depression and stress is warranted. Moreover, it is better to educating medical students about proper sleep hygiene and the consequences of poor sleep.


Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief

AbstractBackgroundMid-adolescents dominate the number of gadget users in Indonesia. The use of gadgets to a high intensity can cause various problems such as poor sleep quality and decreased social interaction. The purpose of this study was to analyze the relationship between the intensity of the use of gadgets and the quality of sleep and social interaction in adolescents.MethodThe research design used was a correlational research study with a cross-sectional approach. Through the calculation of the sample, the respondents were 250 adolescents who met the inclusion criteria, namely (1) adolescents aged 15–18 years and (2) teens who owned and used gadgets. The sampling method used simple random sampling by conducting a lottery system in each class. The independent variable was the intensity of using the gadget, while the dependent variable was the quality of sleep and social interaction. Data collection focused on the intensity of gadget use using questionnaires and it was analyzed using the Pittsburgh Sleep Quality Index (PSQI) and the Social Interaction Anxiety Scale (SIAS). The data was analyzed using Spearman’s rank correlation with α = 0.05.ResultsThe results showed that the intensity of gadget use was positively related to poor sleep quality in adolescents (p = <0.001; r = 0.555). The intensity of the use of gadgets was also related to social interaction with a negative direction. The higher the intensity of the use of gadgets, the lower the social interaction in adolescents (p = 0.001; r = –293).ConclusionThe use of gadgets in the mid-adolescent years is related to sleep disorders as regards the latency and duration of sleep. Adolescents are more likely to engage in social interaction and communication through gadgets than face to face.


2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.


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.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Juan Carlos Vélez ◽  
Aline Souza ◽  
Samantha Traslaviña ◽  
Clarita Barbosa ◽  
Adaeze Wosu ◽  
...  

Objectives. (1) To assess sleep patterns and parameters of sleep quality among Chilean college students and (2) to evaluate the extent to which stimulant beverage use and other lifestyle characteristics are associated with poor sleep quality.Methods. A cross-sectional study was conducted among college students in Patagonia, Chile. Students were asked to complete a self-administered questionnaire to provide information about lifestyle and demographic characteristics. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. In addition, students underwent a physical examination to collect anthropometric measurements.Results. More than half of students (51.8%) exhibited poor sleep quality. Approximately 45% of study participants reported sleeping six hours or less per night and 9.8% used medications for sleep. In multivariate analysis, current smokers had significantly greater daytime dysfunction due to sleepiness and were more likely to use sleep medicines. Students who reported consumption of any stimulant beverage were 1.81 times as likely to have poor sleep quality compared with those who did not consume stimulant beverages (OR:1.81, 95% CI:1.21–2.00).Conclusions.Poor sleep quality is prevalent among Chilean college students, and stimulant beverage consumption was associated with the increased odds of poor sleep quality in this sample.


2014 ◽  
Vol 23 (1) ◽  
pp. 176-184 ◽  
Author(s):  
Márcio Flávio Moura de Araújo ◽  
Adman Câmara Soares Lima ◽  
Thiago Moura de Araújo ◽  
Vivian Saraiva Veras ◽  
Maria Lúcia Zanetti ◽  
...  

The aim of this study was to analyze relationship between sociodemographic factors and poor sleep quality in Brazilian university students. Cross-sectional study, surveyed 701 students in Fortaleza, Ceará, Brazil. We applied a questionnairre with sociodemographic questions and Pittsburgh Sleep Quality Index. We did not identify associations and/or statistically significant linear trends between sleep quality and sociodemographic analyzed factors. However, the analysis found that the relative risk in college aged > 31 years, in those who lived alone and with relatives (other than parents) there is greater vulnerability to poor sleep quality.


2020 ◽  
Vol 37 (1) ◽  
Author(s):  
Betul Ozcan ◽  
Nurhan Meydan` Acimis

Objective: Research shows that poor sleep quality and smartphone addiction are common problems among university students. This study was planned to evaluate the quality of sleep in students at Pamukkale University and to investigate its relationship with smartphone addiction. Methods: This cross-sectional study was carried out at the university campus in 2017-2018. Its dependent variable was low sleep quality. Independent variables were smartphone addiction, features related to smartphone addiction, socio-demographic features and other questioned features. The total number of students attending normal education in seven faculties and two colleges for four years was 20862. The minimum sample size of the study was calculated as 1088. Smartphone Addiction Scale-Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) were used. The data were analyzed with the SPSS program. Results: The mean age was of the participants 21.39 ± 2.21. The sleep quality of students with a PSQI total score of more than five was defined as ‘poor’. The frequency of poor sleep quality was 52.4%. The frequency of smartphone addiction was 34.6% according to the SAS-SV scale. It was found that the frequency of poor sleep quality was significantly higher in students with smartphone addiction compared to others. Conclusion: Smartphone addiction was found as one of the risk factors for poor sleep quality. doi: https://doi.org/10.12669/pjms.37.1.3130 How to cite this:Ozcan B, Acimis NM. Sleep Quality in Pamukkale University Students and its relationship with smartphone addiction. Pak J Med Sci. 2021;37(1):206-211. doi: https://doi.org/10.12669/pjms.37.1.3130 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253753
Author(s):  
Leiyu Yue ◽  
Rui Zhao ◽  
Qingqing Xiao ◽  
Yu Zhuo ◽  
Jianying Yu ◽  
...  

Background The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern and poses a challenge to the mental health and sleep quality of front-line medical staff (FMS). The aim of this study was to investigate the sleep quality of FMS during the COVID-19 outbreak in China and analyze the relationship between mental health and sleep quality of FMS. Methods From February 24, 2020 to March 22, 2020, a cross-sectional study was performed with 543 FMS from a medical center in Western China. A self-reported questionnaire was used to collect data anonymously. The following tests were used: The Self-Rating Anxiety Scale (SAS) for symptoms of anxiety, the Beck Depression Inventory (BDI) for depressive symptoms, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. Results Of the 543 FMS, 216 (39.8%) were classified as subjects with poor sleep quality. Anxiety (P<0.001), depression (P<0.001), and the prevalence of those divorced or widowed (P<0.05) were more common in FMS with poor sleep quality than in participants with good sleep quality. The FMS exhibiting co-occurrence of anxiety and depression were associated with worse scores on sleep quality than those medical staff in the other three groups/categories. The difference in sleep quality between the FMS with only depression and the FMS experiencing co-occurrence of anxiety and depression was statistically significant (P<0.05). However, there was no significant difference in sleep quality between the FMS experiencing only anxiety and the FMS with co-occurrence of anxiety and depression (P > 0.05). Conclusions During the COVID-19 pandemic, there was a noteworthy increase in the prevalence of negative emotions and sentiments among the medical staff, along with poor overall sleep quality. We anticipate that this study can stimulate more research into the mental state of FMS during outbreaks and other public health emergencies. In addition, particular attention must be paid to enhance the sleep quality of FMS, along with better planning and support for FMS who are continuously exposed to the existing viral epidemic by virtue of the nature of their profession.


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.


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