Sleep Quality and Correlated Factors among Retired Nurses in the North-east of Iran

2020 ◽  
Vol 22 (2) ◽  
Author(s):  
Toktam Mikaniki ◽  
Abdolghader Assarroudi ◽  
Mohammad Reza Shegarf Nakhaie ◽  
Rahim Akrami ◽  
Mohammad Sahebkar

People in occupations with an extreme amount of stress, such as nursing, suffer from poor physical and mental health after retirement. This study was aimed at evaluating sleep quality scores and their correlates among retired nurses in the north-east of Iran. This cross-sectional study was conducted on 302 retired nurses in public hospitals of north-east Iran between April and May 2018. The data were collected using the Persian Version of Pittsburgh Sleep Quality Index (PSQI), a valid and reliable scale to evaluate sleep quality among Iranian people through phone calls. The mean age of subjects was 56.6 ±4.6 and 66.9% were female. Altogether 82.7% of retired nurses had poor sleep quality. According to multiple regression analysis, males had a significantly better overall sleep quality compared to females. Participants with evening and rotational shifts had a significantly lower sleep quality as compared to those working in the morning shift. Subjects suffering from musculoskeletal diseases, cardiovascular diseases (and a combination) had substantially poorer sleep quality as compared to those with no comorbidity. Findings suggest that Iranian retired nurses do not have good sleep quality. Health systems and their managers play an important role in preparing nurses for retirement. They can reduce post-retirement complications by designing a normal employee work schedule, increasing the nursing workforce when needed, and preventing overwork and long?term overtime hours.

2021 ◽  
pp. 32-33
Author(s):  
Divina Sethi ◽  
Namrita Sachdev ◽  
Rupali Bhardwaj

Background: Sleep quality is dened as the satisfaction of the sleep experience, integrating aspects of sleep initiation, sleep maintenance, sleep quantity, and refreshment upon awakening. It is important to measure sleep quality in postgraduate medical students and this study aims to monitor it across the various years of the course. Methodology: A cross-sectional study involving medical postgraduates students at the Postgraduate Institute of Medical Sciences and Research & Dr. Ram Manohar Lohia Hospital, New Delhi was conducted. All rst- to third-year postgraduate students were invited to participate. It was a self rated questionnaire based study using the Pittsburgh Sleep Quality Index (PSQI). Results: Poor sleep quality as observed using raised global PSQI of more than 5 was seen in 104 students (74%). Of this, 39 students belonged to third year (88.6%), 37 students were from second year (74%) and 28 students were from rst year (59.6%). Only 26% of students showed an adequate sleep quality with global PSQI <5.The mean global PSQI scores for students in rst, second and third year were 6.2, 6.6 and 7.8 respectively reecting that third year students were most affected. Conclusion: Postgraduate medical students have more sleep disturbance with impaired sleep quality. Sleep quality has a strong inuence on physical and mental health. Active intervention is required to improve sleep hygiene in these students.


2021 ◽  
Vol 17 (4) ◽  
Author(s):  
Fahimeh Nikraftar ◽  
Seyed Reza Mazloum ◽  
Mostafa Dastani ◽  
Fatemeh Heshmati Nabavi

Background: Patients with coronary artery diseases (CAD) use a wide spectrum of medications; hence, strategies are needed to increase their adherence. In this line, identifying factors associated with medication self-efficacy can be useful. Objectives: The current study aimed to investigate medication self-efficacy and its related factors in patients with CAD in the north-east of Iran. Methods: In this cross-sectional study, 104 patients with CAD hospitalized in one of the largest teaching hospitals in the north-east of Iran are studied. Participants were selected by convenience sampling method. Data were collected using Demographic and clinical information form, Information Satisfaction questionnaire (ISQ), and Self-Efficacy for Appropriate Medication Use scales (SEAMS). Data were analyzed by SPSS version 22 using descriptive statistics and multiple regression test. Results: The mean age of patients was 52.3 ± 8.8 years. The mean medication self-efficacy score was 24.9 ± 9.5 (out of 39). Multiple regression showed a linear and significant association between information satisfaction, income, medications used in the last month, information about the nature of the disease, doctors as a preferred source of information, nurses, family members, internet and social networks as the most information sources used by patients, with medication self-efficacy (R = 0.907, P < 0.001). These variables could explain 82.2% of the self-efficacy variance. Conclusions: Based on the result, it can be argued that in designing and implementing educational interventions aimed to promote medication self-efficacy in patients with CAD, individuals with lower income and under long-term medication treatment should receive more support. Educational programs should emphasize more on explaining the nature of the disease to the patients, and physicians should be more involved in educating patients.


2020 ◽  
Vol 28 (3) ◽  
pp. 270-273
Author(s):  
Andrew Chen ◽  
Simon Rosenbaum ◽  
Ruth Wells ◽  
Kirrily Gould ◽  
Philip B. Ward ◽  
...  

Objective: The aim of this paper was to cross-sectionally examine the association between physical health indicators and PTSD symptomatology. Method: A cross-sectional study was conducted among inpatients of a service related trauma-focused ward. Physical and mental health indicators including sleep quality, fitness, physical activity, body mass index and PTSD symptomatology were assessed. Results: Among 60 inpatients, significant associations were found between sedentary time ( r = 0.42; p < .001) and sleep quality ( r = 0.40; p < .001) with PTSD symptomatology. The vast majority of inpatients ( n = 56; 93%) were found to be either overweight or obese according to body mass index. Conclusion: Inpatients of a PTSD treatment facility had extremely high rates of obesity, physical inactivity, poor cardiorespiratory fitness and poor sleep quality. Sedentary behaviour is a modifiable risk factor associated with symptoms and physical health.


2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.


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.


Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Ran ◽  
Qi Chen ◽  
Jingyi Zhang ◽  
Xinlong Tu ◽  
Xiaodong Tan ◽  
...  

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.


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