scholarly journals Poor sleep quality and unhealthy lifestyle during the lockdown: an Italian study

2022 ◽  
Author(s):  
S. Bruno ◽  
A. Bazzani ◽  
S. Marantonio ◽  
F. Cruz-Sanabria ◽  
D. Benedetti ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Unhealthy Lifestyle ◽  
Italian Study

scholarly journals The relationship between nutritional habits and sleep quality in adolescents of Yazd, Iran

2019 ◽  
Author(s):  
Hassan Mozaffari-Khosravi ◽  
Majid Karandish ◽  
Ali Mohammad Hadianfard ◽  
Maryam Azhdari ◽  
Leila Sheikhi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Significant Relationship ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Unhealthy Lifestyle ◽  
Nutritional Habits ◽  
Breakfast Skipping ◽  
The Relationship

Abstract BackgroundLifestyle and its relationship to aspects of sleep quality have been reported in many studies. An unhealthy lifestyle is associated with less sleep duration and sleep patterns. Breakfast skipping is as an important part of unhealthy lifestyle. Poor sleep quality and skipping breakfast are common in adolescents. The aim of this study was to investigate the relationship between nutritional habits (breakfast and midmorning snack) and sleep quality in Yazd adolescents.MethodsThis study was conducted among 569 students aged 12–16 years. They were selected by multistage random-cluster sampling method. Information such as demographic characteristics, anthropometric measurements, students' nutritional habits, physical activity and sleep quality were collected from all adolescents. All data were assessed by interview, 7-day food record, short form of the International Physical Activity, and Questionnaire and Pittsburgh Sleep Quality Index. The data were analyzed by SPSS software (version 22).ResultsThe prevalence of breakfast skipping and semi-skipping (57.2%), overweight and obesity (37.8%), and insufficient sleep duration (38.9%) were high. The sleep score was significantly better in boys (p = 0.02). Sleep quality score of 63.7 % of the students was poor, but a significant relationship was not illustrated between sleep quality with breakfast frequency, abnormal weight, breakfast time, morning snack intake. A significant relationship was found between poor sleep quality with late bedtime and low physical activity (p <0.0001), late dinner (p <0.004), and female gender (p <0.02).ConclusionsThis cross-sectional study supported the association between having dinner soon and no late bedtime with good sleep quality. But no significant difference was shown between sleep quality with weight and breakfast habits. This study suggested paying more attention to nutritional and sleeping status in this age group by employing skilled nutritionists and mental health professional in high schools.

Poor sleep quality and its relationship to attentional-executive dysfunctioning in depressive inpatients

2017 ◽  
Author(s):  
B Kundermann ◽  
S Fockenberg ◽  
M Müller ◽  
N Cabanel
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

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.

scholarly journals Impact and Correlates of Poor Sleep Quality in Japanese White-Collar Employees

SLEEP ◽  
2003 ◽  
Vol 26 (4) ◽  
pp. 467-471 ◽  
Author(s):  
Yuriko Doi ◽  
Masumi Minowa ◽  
Toshiro Tango
Keyword(s):  
Sleep Quality ◽  
White Collar ◽  
Poor Sleep ◽  
Poor Sleep Quality

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

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.

scholarly journals Measuring Subjective Sleep Quality: A Review

2021 ◽  
Vol 18 (3) ◽  
pp. 1082
Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  
Keyword(s):  
Construct Validity ◽  
Sleep Quality ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Self Report ◽  
Measurement Properties ◽  
Poor Sleep ◽  
Daily Routine ◽  
Factorial Structure ◽  
Poor Sleep Quality

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

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