Bagheri-Nesami, Masoumeh;Goudarzian, Amir Hossein;Babaei, Ghasem Jan;Badiee, Milad;Mousavi, Mostafa;Sharifi, Mohammad Sadegh
Asian Pacific Journal of Cancer Prevention
/
제17권sup3호
/
pp.107-111
/
2016
This study aimed to determine sleep disorders and associated risk factors in leukemia patients undergoing chemotherapy in Imam Khomeini Hospital of Sari, Iran. This cross-sectional study was conducted in 2015 with 100 patients selected. Inclusion criteria included complete mental and psychological health and being over 18 years old, and exclusion criteria included suffering other cancers, other chronic diseases, concurrent radiotherapy, and chemotherapy. The Pittsburgh Sleep Quality standard questionnaire was used to collect data. The questionnaire consisted of mental sleep quality, sleep latency, sleep duration, sleep quality, sleep disturbances, use of sleeping drugs, and impaired daily functioning. Data were analyzed by software SPSS 18 and by using descriptive and inferential tests (Pearson, Spearman, T-test and chi-square). Totals of 47 men (47%) and 53 women (53%) with a mean age of $44.1{\pm}1.7$, participated in the study. The mean overall score of sleep quality was $9.3{\pm}3.9$, which represents the average sleep quality in most participants. T-test shows that males have better sleep quality than females (t=2.1; 95%CI:0.004-0.25; P<0.01). Also the sleep quality increased with age (r=0.22, P=0.03). Results show that the amount of sleep quality was only moderate in most patients, so it is necessary to take coping strategies to improve their quality of sleep.
Schizophrenia is a chronic, currently incurable, and devastating syndrome. Although sleep disturbances are not primary symptoms of schizophrenia, they are important aspects of schizophrenia. Difficulties initiating or maintaining sleep are frequently encountered in patients with schizophrenia. Many schizophrenics report low subjective sleep quality. Measured by polysomnography, increased sleep latency as well as reduced total sleep time, sleep efficiency, slow wave sleep, and rapid eye movement sleep latency (REM latency), are found in most patients with schizophrenia and appear to be an important aspect of the pathophysiology of this disorder. Some literatures suggest that worsening sleep quality precedes schizophrenic exacerbations. Co-morbid sleep disorders such as obstructive sleep apnea (OSA) and restless legs syndrome (RLS), and sleep-disrupting behaviors associated with schizophrenia may lead to sleep disturbances. Clinicians should screen the patient with sleep complaints for primary sleep disorders like OSA and RLS, and carefully evaluate sleep hygiene behaviors of all patients with schizophrenia who complain of sleep disturbances.
Purpose: The purpose of this study was to compare the quality of sleep with the serum lipid profile in patients who have restless legs syndrome (RLS). Methods: The data were obtained from 116 patients with RLS through questionnaires and blood sampling. Results: The results of this study showed correlations between lower quality of sleep and serum lipid profile (LDL Cholesterol) in patients with RLS (r=.19, p=.040). There were correlations for scores of quality of sleep from the, Pittsburgh Sleep Quality Index (PSQI) sub-region between lower subjective sleep quality and serum lipid profile (LDL Cholesterol) (r=.20, p=.026), between fewer hours of sleep duration and serum lipid profile (Total Cholesterol) (r=-.21, p=.024), and, between higher daytime dysfunction and serum lipid profile (LDL Cholesterol) (r=.42, p<.001) of patients with RLS. Conclusion: Pati-ents with RLS have sleep disorders with lower quality of sleep and changes in the serum lipid profile for total cholesterol and LDL cholesterol. That is, patients with RLS have lower quality of sleep and dyslipidemia compared to persons without RLS. Further research is needed to monitor serum the lipid profile in early stage symptoms of midlife adult patients with RLS and especially older women.
Purpose: This study aimed to explore the subjective sleep quality of depressed and non-depressed mothers in the late postpartum period and to determine the relationship with their health promoting behaviors, family functioning, parenting stress. Method: A non-probability sample of 128 mothers completed a self-administered questionnaires at 4-6weeks postpartum. The Edinburgh postnatal Depression Scale (EPDS) and Pittsburgh Sleep Quality Index were used to measure mother's experiences of depression symptoms and sleep. Related factors of sleep quality were measured by the Korean Family Functioning Scale, Health Promoting Lifestyle Profile, and Parenting Stress Index. The data was analysed using t-test, one-way ANOVA, and the Pearson's correlation coefficients. Result: The results indicated that the depressed mothers (EPDS$\geq$ 10) had poorer sleep quality than the non-depressed mothers(EPDS < 10), reported shortened sleep duration, and experienced more daytime dysfunctions. Depressed mothers who had no job, did not drink coffee, and were primipara tended to report poorer sleep quality. There were significant correlation between poorer sleep quality and lower health promoting behaviors, higher family intimacy and lower family communication, and higher parenting stress among depressed mothers. Conclusion: Our findings support the view that depressed mothers' experiences of poor sleep are much higher than non-depressed mothers and multi-faced. Nurse professionals should screen for sleep problems in the depressed mothers with a different biopsychosocial and behavioral aspect from the non-depressed mothers in the late postpartum period.
PURPOSE: To investigate the correlation between sleep quality, neck and shoulder pain, neck and shoulder disability, headache, and smartphone addiction in adults, as well as factors affecting sleep disorders in adults. METHODS: A total of 112 adults in their 20s were recruited for participation in this study. This study measured Pearson's correlation of sleep quality, neck and shoulder pain, neck and shoulder disability, headache and smartphone addiction. Logistic regression analysis (sleep disorder, without sleep disorder adults), was performed to analyze factors affecting sleep disorders. RESULTS: Sleep quality index was positively correlated with shoulder pain and disability index(SPADI)-pain score, SPADI-global score and smartphone addiction score. There was a significant difference in SPADI-pain score between the group with sleep disorders and the group without sleep disorders. Shoulder pain and disability were identified as factors affecting sleep disorders. The group with sleep disorders showed 1.088 times more shoulder pain than the group without sleep disorders, and the group with sleep disorders showed 1.006 times higher frequency of shoulder disorders than the group without sleep disorders. CONCLUSION: The results of the present study indicate that as sleep quality worsens, shoulder pain, disability, and smartphone addiction get worse. The group with sleep disorders had significantly increased shoulder pain compared to the group without sleep disorders. We also found that shoulder pain and disability were factors affecting sleep quality. Comparison between intervention method is warranted to better understand adults with sleep disorders.
Purpose: This study was conducted to evaluate quality of sleep and to assess the factors that influence quality of sleep in surgical ICU. Methods: The subject of the study were consisted 109 adult patients who admitted to surgical ICU. The data were collected from May 20 to December 10, 2007 by structured questionnaires. The data were analyzed with descriptive analysis, paired t-test, Pearson correlation coefficient and stepwise multiple regression. Results: The score of quality of sleep was 4.57 point. The main sleep disturbance factors related to quality of sleep in surgical ICU inpatient were sleep time, machinery alarm and noise(adjusted $R^2$=33.2). Conclusion: Based on the finding of this study, it is needed to develop a nursing intervention program that including to promote quality of sleep and to decrease machinery alarm and noise in surgical ICU.
Purpose : This descriptive research study aimed to investigate the relationship among academic self-efficacy, sleep quality, and quality of life(QoL) and to identify the factors that affect quality of life(QoL) in nursing students during the COVID-19 pandemic. Method : A total of 214 nursing students from three South Korean colleges were included in the study. Collected data were analyzed using the SPSS/WIN 21.0 program. Independent t-test and one-way analysis of variance were used to analyze the differences in academic self-efficacy, sleep quality, and quality of life(QoL) according to general characteristics. In addition, post-hoc Scheffè test and Pearson's correlation coefficient were used to examine the relationship among the three parameters. Stepwise multiple regression analysis was conducted to identify influential factors on the nursing students' quality of life(QoL). Results : The average academic self-efficacy, sleep quality, and quality of life(QoL) scores were 3.15±0.27, 32.28±7.54, and 81.12±13.11, respectively. Quality of life(QoL) positively correlated with academic self-efficacy but negatively correlated with sleep quality. Academic self-efficacy negatively correlated with sleep quality. Sleep quality, satisfaction with major, sex, average income, and academic self-efficacy influenced quality of life(QoL), whose explanatory power was 34.9 %. Conclusion : Sleep quality was the most influential factor of quality of life(QoL). However, further studies to validate our findings and studies focusing on developing intervention programs to improve nursing students' sleep quality and quality of life(QoL) are warranted.
Objectives: Using as a sleep evaluation tool the Pittsburgh Sleep Quality Index (PSQI), this paper studied the effects of earthing on the amount and quality of sleep by examining a patient population of people who used and did not use earthing mats and a group of general healthy people. Methods: From September to November 2019, 30 patients who voluntarily used an earthing mat, 40 patients who did not use an earthing mat, and 40 healthy people who did not use an earthing mat were selected. A questionnaire applying the PSQI (Pittsburgh Sleep Quality Index) after being translated into Korean was distributed starting November 29, 2019 to 110 subjects. Out of them, 101 subjects who completed the questionnaire were examined. All statistics used SPSS 25.0. Results: The first overall score showed that all three groups had problems sleeping, with five points or more, but the general population had better sleep quality than the patient group. It also showed that the using matgroup had better quality of sleep than the ones that did not use the earthing mat In addition, the analysis of the third group through the variance analysis showed significance at >0.05 for the general population and the patient group. Based on this, a multi-comparison analysis of the third group showed significantly less than 0.05 in patients who do not use an earthing mat compared to the public. First of all, there are no statistically significant differences between the three groups in subjective sleep quality, sleep latency, and sleep time, but an analysis of multiple comparison analysis with the general population group showed that the quality of sleep was worse compared to those that used the mat. In addition, sleep efficiency, sleep disorder, sleeping pills, and daytime dysfunction were found to be less than >0.05 in the three groups. Conclusions: These results suggest that if you ground your body to Earth during sleep, the secretion of cortisol will decrease night levels, sync more with the natural 24-hour circulation rhythm profile, and that when you sleep, sleep is better and pain and stress are associated with the study. While the preceding study cannot confirm that contact with the ground affects the quality of sleep, it suggests that it is relevant as shown in this paper.
Purpose: The purpose of this study was to identify quality of sleep and health-promoting behaviors in rotating-shift nurses and to explore the influence of health promoting behaviors on quality of sleep. Method: Participants were 161 staff nurses working in an irregular three shift system in one of three general hospitals located in Kyungpook province. Data were collected using the Pittsburgh Sleep Quality Index and the Health Promoting Lifestyle Profile-IIand were analyzed using hierarchical multiple regression analysis. Results: The majority of the participants had very poor quality of sleep and performed a low level of health promoting behaviors. In terms of health promoting behaviors, nutrition and stress management significantly influenced quality of sleep of these nurses. Conclusion: Results indicate the importance of encouraging rotating-shift nurses to enhance their health promoting behaviors in order to improve quality of sleep.
Purpose: The purpose of this study was to identify the quality of sleep and its influencing factors on the institutionalized elderly. Methods: The respondents were 145 institutionalized elderly in Daegu and a structured questionnaire was used for data collection, which was conducted from February 10 to 28, 2007. The questionnaire was the Yi(2004) quality of sleep scale. All the information was collected through face-to-face interviews, using the questionnaire. The data were analyzed by SPSS/WIN 12.0. Results: The results of this research were as follows: First, the mean for the quality of sleep in the institutionalized elderly was 83.92. Second, in the subscales of the quality of sleep scale, the mean for daytime dysfunction was 40.35; for restoration after sleep it was 10.43; for difficulty in falling asleep it was 11.00; for difficulty in getting up it was 8.88; for satisfaction with sleep it was 8.62; for difficulty in maintaining sleep it was 4.75. Third, the factors influencing the quality of sleep were economic status, perceived health status, and pain. Conclusion: Based upon the findings above, this study provides useful information that could assist in improving the quality of sleep among institutionalized elderly, and indicates that nursing intervention is needed.
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