753 The role of circadian activity rhythms in depressive symptoms among female nursing students

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A293-A294
Author(s):  
Xin Zhang ◽  
Shih-Yu Lee

Abstract Introduction Depression is prevalent among nursing students. Rumination and sleep-wake rhythms are associated to mental illness; however, no clear path has been found. This exploratory study aimed to examine the associations among circadian activity rhythms (CAR), rumination, and depressive symptoms in female nursing students; further, to test a hypothesized CAR conceptual model. Methods A total of 148 female nursing junior students in China completed a battery of questionnaires, including Athens Insomnia Scale (AIS), Ruminative Responses Scale (RRS), and Self-rating Depression Scale (SDS). Wrist actigraphy was used to collect total sleep time, CAR, and acrophase (time of the peak of the fitted activity curve). The path analysis was explored by using SPSS and AMOS. Results The mean age of the students was 20.64 years (SD = 0.86). About 58.8% of the participants were either mild or moderate depressed. About 93.9% of the students reported significant insomnia symptoms (AIS scores >6). Rumination was measured by the RRS (M= 2.01, SD = 0.54), and students scored higher in brooding than that of reflective pondering (2.07 vs. 1.95). The average of TST was 394.59 minutes (SD = 51.92). The CAR ranged from 0.40 to 0.98, with a mean of 0.75 (SD = 0.11). The acrophase ranged from 12:46 to 20:14 (median 16:30), with a later acrophase indicates of a more delayed circadian phase. The final model shows satisfactory fit (χ2= 2.238, p= .327); a better CAR can indirectly reduce depressive symptoms by directly reducing brooding (B = -1.149) and improving insomnia symptoms (B = -6.6443). Conclusion In order to prevent psychological problems of nursing students, ruminating and CAR should be part of health screening. The novel conceptual model provides a basis for reforming nursing education to prevent psychological problems. Support (if any) Chinese National Natural Science Foundation [71603279]

2019 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Rodrigo Marques da Silva ◽  
Ana Lucia Siqueira Costa ◽  
Fernanda Carneiro Mussi ◽  
Fernanda Michelle Santos e Silva ◽  
Keila Cristina Félis ◽  
...  

Objective: To compare the health status (stress, depressive symptoms and sleep quality), the resilience and quality of life in first and fourth year nursing students.Methods: This is a cross-sectional research conducted in 2016 with 86 students enrolled in first and fourth years of the nursing degree. We applied the instrument for Assessment of Stress in Nursing Students, the Center for Epidemiologic Studies Depression Scale, Pittsburg Sleep Quality Index, Wagnild and Young’s Resilience Scale; and the WHOQOL-BREF. ANOVA (Test F) was applied for data analysis.Results and conclusions: A total of 49 first-year and 37 fourth-year students were sampled for this study. Fourth- year nursing students showed higher levels of stress, lower intensity of depressive symptoms and higher quality of life and resilience levels. The poor sleep quality was prevalent in both groups. Conclusion: although the nursing education potentially contributes for students’ sickness, the experiences lived in this period may strength the resilience skills.Conclusions: Video indexing and retrieval are accomplished by using hashing and $k$-d tree methods, while visual signatures containing color, shape and texture information are estimated for the key-frames, by using image and frequency domain techniques. Experimental results with the dataset of a multimedia information system especially developed for managing television broadcast archives demonstrate that our approach works efficiently, retrieving videos in 0.16 seconds on average and achieving recall, precision and F1 measure values, as high as 0.76, 0.97 and 0.86 respectively.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A150-A151
Author(s):  
Jamie Walker ◽  
Rebecca Campbell ◽  
Ivan Vargas

Abstract Introduction Insomnia and depression are highly comorbid and have been shown to be independently associated with lower levels of physical activity. It is not clear, however, if being less physically active is a risk factor for or consequence of depression and insomnia. The factors that explain the associations between insomnia, depression, and physical activity are likely complex and overlapping. For example, insomnia may predict inactivity by impacting one’s energy levels, leaving them too tired to exercise. Insomnia may also interfere with one’s motivation to exercise due to low mood, as insomnia is associated with the development of depressive symptoms. The purpose of the present study was to explore whether depression mediated the link between insomnia and low levels of physical activity. Methods A national online survey was conducted from April-June 2020. Participants completed surveys to assess demographics, mood, sleep, and physical activity. Depressive symptoms were estimated with the Center for Epidemiologic Studies Depression Scale (CES-D). Insomnia symptoms were estimated with the Insomnia Severity Index (ISI). Physical activity levels were estimated with the International Physical Activity Questionnaire (IPAQ). Analyses were conducted using multiple linear regression, with separate models for depression, insomnia, and the combination of the two, on levels of physical activity. Results 3,952 adults (Mage = 46.9 years) completed the survey. According to the unadjusted models, greater insomnia symptoms were associated with greater depressive symptoms (b = 0.4523, SE = 0.019593, p < .001), and lower levels of physical activity (b = -38.741, SE = 18.236, p = 0.0337). The relationship between insomnia and physical activity was no longer significant, however, when controlling for depression (b = -6.140, SE = 19.274, p = 0.75). According to the mediation analyses, there was an indirect effect of insomnia on physical activity that was explained by differences in depressive symptoms (Sobel Test = -4.895, SE = 6.518, p < .001). Conclusion Our findings support previous research indicating associations between symptoms of insomnia and depression and physical activity. Future research should examine if these same results hold using a longitudinal design. Support (if any) Vargas: K23HL141581


2019 ◽  
Vol 117 ◽  
pp. 38-44 ◽  
Author(s):  
Noah Lorenz ◽  
Janek Spada ◽  
Christian Sander ◽  
Steffie G. Riedel-Heller ◽  
Ulrich Hegerl

2020 ◽  
Author(s):  
Lei Xia ◽  
Yi Zhong ◽  
Zhiwei Liu ◽  
Yulong Zhang ◽  
Wenzheng Li ◽  
...  

Abstract Background: Sleep disturbances are common in patients with schizophrenia, with serious consequences. The purpose of this study was to investigate the prevalence and clinical correlates of insomnia symptoms, and to explore the relationship between insomnia and inflammatory markers in Chinese patients with chronic schizophrenia. Methods: A total of 328 inpatients with chronic schizophrenia were recruited. Insomnia Severity Index (ISI), Calgary Depression Scale for Schizophrenia (CDSS), and Positive and Negative Syndrome Scale (PANSS) were used to assess the severity of insomnia, depression, and psychotic symptoms. The plasma levels of several inflammatory markers (CRP, IL-6, and TNF-α) were measured.Results: The prevalence of insomnia symptoms in patients with schizophrenia was 38.4%. Depressive symptoms were significantly associated with insomnia symptoms (OR = 1.23, 95%CI: 1.13-1.33, P < 0.001). Higher CDSS score (beta = 0.55, t = 8.21, P < 0.001) and older age (beta = 0.06, t = 3.59, P < 0.001) were significantly associated with higher ISI score, while taking a single SGA (beta = -0.85, t = -1.99, P < 0.05) was independently associated with lower ISI score. There was no significant association between any inflammatory markers and insomnia or ISI score.Conclusions: Our results demonstrate that the prevalence of insomnia symptoms is high in Chinese inpatients with chronic schizophrenia. Some demographic and clinical variables, such as depressive symptoms and older age, are risk factors, while others are beneficial factor, such as taking atypical antipsychotic drug for insomnia in schizophrenia patients. No association has been found between insomnia symptoms and inflammation.


2020 ◽  
Vol 14 (1) ◽  
pp. 29-36
Author(s):  
Mohammed AlAmer ◽  
Emad Shdaifat ◽  
Amira Alshowkan ◽  
Aleya G. Eldeen ◽  
Aysar Jamama

Background: Excessive internet usage is a worldwide problematic issue among young adults and college students. Previous studies showed that Saudi young adults are involved in this problem. Objectives: To determine the prevalence of Internet Addiction (IA), and to find out its relation with depressive symptoms, sleep quality, and demographic variables. Methods: This study used a cross-sectional design. Data were collected from 341 nursing students in Saudi Arabia using three scales: Young’s Internet Addiction Test, Central Epidemiologic Scale for Depression and Pittsburgh Sleep Quality Index. Results: The results showed that 35.1% of students were suffering from frequent problems and 0.9% were suffering from significant problems due to heavy internet usage. The correlation results found a positive moderate correlation between IA and depression (r = 0.401, p < 0.001) and a positive weak correlation with sleep quality (r = 0. 196, p = 0.002). Sleeping and depression were weakly correlated (r = 0.274, p < 0.001). Regression analysis revealed that IA was associated with: smoking status, high family income, duration of usage (3-6 hours and >6 hours), and depressive symptoms. The depressive level was associated with duration of usage (>6 hours), students’ grading point average (GPA), IA, and sleep quality. Sleep quality was found to be associated with duration of usage (>6 hours) and having depressive symptoms. Conclusion: The findings illustrate the need for proper management of internet usage, as well as developing plans to avoid the negative consequences of internet addiction on psychological wellbeing by incorporating nursing education programs about appropriate internet usage.


2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Hasniatisari Harun ◽  
Yusshy Kurnia Herliani ◽  
Anita Setyawati

Professional nurses could be prepared through professional nursing programs. Professional nursing program is part of the nursing education program. One of the competencies required to be professional nurses is implementing evidence-based practice (EBP) to explore the best nursing interventions for patients to get optimal outcome. Nursing students have learned EBP during bachelor degree by analysis case using the EBP method. However, evaluation related  students' understanding of the method and its application of EBP to the clinical practice was none. The purpose of this study was to determine the relationship of knowledge with student competency in the implementation of evidence based practice (EBP) to managed patients in the medical surgical nursing stage. This research is quantitative research. The sample in this study was 120 nursing students who were at professional nursing program that were recruited using total sampling technique. The instrument used is the Evidence Based Practice Questionnaire (EBPQ) questionnaire. The results showed that more than half of the respondents had high knowledge (68%), and high competence (49%). This study shows a meaningful relationship between knowledge of student competence in applying EBP (r = .6070, p <0.01). The findings of this study are important for recommendations related to developing teaching materials in nursing education related to for providing the best service for patients.


2020 ◽  
Vol 4 (1) ◽  
pp. 67-77
Author(s):  
Rohimah Ismail ◽  
Chong Mei Chan ◽  
Wan Muhammad Azly W. Zulkafli ◽  
Hasnah Zani ◽  
Zainab Mohd Shafie

                The evolution of information technology has exerted great influence on nursing education via new pedagogy of knowledge delivery without time and place restriction. Mobile technology revolutionises nursing education and clinical practice via empowering skills of critical thinking and clinical decision-making through learning. The aim of this study is to evaluate the effectiveness of using mobile messenger (Whatsapp) as an educational supporting tool among nursing students. The study design used is a Cluster Randomized Control Trail. Two nursing colleges were selected. Sample size was 93 participants, 48 from the Kuala Terengganu Nursing College Kuala Terengganu as the intervention group while the control group were recruited among 45 participants from UniSZA Nursing College. There is a significant difference in the level of knowledge between pre and posttest among intervention group (mean difference was -8.70 with a standard deviation 8.42, p-value< 0.001) and 93.8 percent of the respondents perceived the usefulness of using WhatsApp mobile messenger to enhance learning. This demonstrates that learning through mobile messenger (WhatsApp) enhances learning and is well received as a new method of learning by almost all students.   Keywords: Mobile learning, WhatsApp messenger, Social Interaction


Epigenomics ◽  
2020 ◽  
Author(s):  
Alexandra E Dereix ◽  
Rachel Ledyard ◽  
Allyson M Redhunt ◽  
Tessa R Bloomquist ◽  
Kasey JM Brennan ◽  
...  

Aim: To quantify associations of anxiety and depression during pregnancy with differential cord blood DNA methylation of the glucorticoid receptor ( NR3C1). Materials & methods: Pregnancy anxiety, trait anxiety and depressive symptoms were collected using the Pregnancy Related Anxiety Scale, State-Trait Anxiety Index and Edinburgh Postnatal Depression Scale, respectively. NR3C1 methylation was determined at four methylation sites. Results: DNA methylation of CpG 1 in the NR3C1 CpG island shore was higher in infants born to women with high pregnancy anxiety (β 2.54, 95% CI: 0.49–4.58) and trait anxiety (β 1.68, 95% CI: 0.14–3.22). No significant association was found between depressive symptoms and NR3C1 methylation. Conclusion: We found that maternal anxiety was associated with increased NR3C1 CpG island shore methylation.


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