scholarly journals Sleep Quality, Sleep Structure, and PER3 Genotype Mediate Chronotype Effects on Depressive Symptoms in Young Adults

2020 ◽  
Vol 11 ◽  
Author(s):  
Chloe Weiss ◽  
Kerri Woods ◽  
Allan Filipowicz ◽  
Krista K. Ingram
Keyword(s):  
Young Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Structure ◽  
Quality Sleep

scholarly journals Resilience And Mental Health Among Young Adults In The Context of Lockdown Due To The COVID-19 Pandemic

2021 ◽  
Author(s):  
Darío Guerrero-Vaca ◽  
Valeria Carpio-Arias ◽  
Andrés Rodríguez-Betancourt ◽  
Patricio Inca Ruiz ◽  
Andrés Fernando Vinueza-Veloz ◽  
...  
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Psychological Resilience ◽  
Negative Effects ◽  
Highly Educated ◽  
Show Evidence ◽  
Preventive Public Health

Abstract Purpose: Psychological resilience is defined as the ability of an individual to adapt to adverse situations and in a certain way regulate mental health. Currently, the COVID-19 pandemic and lockdown measures implemented to avoid infection are considered risk agents for the development of mental disorders. The objective of this study is to explore the relationship between resilience capacity and the presence of depressive symptoms and poor sleep quality in the context of lockdown due to the pandemic. Methods: The sample consisted of n = 8,426 young adults who were recruited via convenience sampling. Sociodemographic and mental health data was collected through online surveys. Previously validated test were used to collect information on depression and sleep quality. Restriction of mobility was evaluated using information from Google Mobility Reports. Results: Most of participants were highly educated women. Independently from sex, age and other confounders, individuals with psychological resilience were less likely to develop depressive symptoms or sleep disorders during confinement due to the COVID-19 pandemic. Moreover, higher mobility restriction was associated with depression but not with bad sleep quality. In this way, a longest stay at home and a higher restriction of mobility to groceries and pharmacies were related to depression. Conclusions: These results show evidence of the importance of psychological resilience on mental health, and can contribute to the development of preventive public health interventions to face the negative effects of confinement on mental health.

scholarly journals Exploring Associations between Internet Addiction, Depressive Symptoms, and Sleep Disturbance among Saudi Nursing Students

2020 ◽  
Vol 14 (1) ◽  
pp. 29-36
Author(s):  
Mohammed AlAmer ◽  
Emad Shdaifat ◽  
Amira Alshowkan ◽  
Aleya G. Eldeen ◽  
Aysar Jamama
Keyword(s):  
Young Adults ◽  
Nursing Education ◽  
Depressive Symptoms ◽  
Nursing Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Family Income ◽  
Smoking Status ◽  
Internet Usage ◽  
Negative Consequences

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.

scholarly journals The Big Three Health Behaviors and Mental Health and Well-Being Among Young Adults: A Cross-Sectional Investigation of Sleep, Exercise, and Diet

2020 ◽  
Vol 11 ◽  
Author(s):  
Shay-Ruby Wickham ◽  
Natasha A. Amarasekara ◽  
Adam Bartonicek ◽  
Tamlin S. Conner
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Young Adults ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Health Behaviors ◽  
Well Being ◽  
Higher Order ◽  
Cross Sectional ◽  
Health And Well Being

BackgroundSleep, physical activity, and diet have been associated with mental health and well-being individually in young adults. However, which of these “big three” health behaviors most strongly predicts mental health and well-being, and their higher-order relationships in predictive models, is less known. This study investigated the differential and higher-order associations between sleep, physical activity, and dietary factors as predictors of mental health and well-being in young adults.MethodIn a cross-sectional survey design, 1,111 young adults (28.4% men) ages 18–25 from New Zealand and the United States answered an online survey measuring typical sleep quantity and quality; physical activity; and consumption of raw and processed fruit and vegetables, fast food, sweets, and soda, along with extensive covariates (including demographics, socioeconomic status, body mass index, alcohol use, smoking, and health conditions) and the outcome measures of depressive symptoms [measured by the Center for Epidemiological Depression Scale (CES-D)] and well-being (measured by the Flourishing Scale).ResultsControlling for covariates, sleep quality was the strongest predictor of depressive symptoms and well-being, followed by sleep quantity and physical activity. Only one dietary factor—raw fruit and vegetable consumption—predicted greater well-being but not depressive symptoms when controlling for covariates. There were some higher-order interactions among health behaviors in predicting the outcomes, but these did not survive cross-validation.ConclusionSleep quality is an important predictor of mental health and well-being in young adults, whereas physical activity and diet are secondary but still significant factors. Although strictly correlational, these patterns suggest that future interventions could prioritize sleep quality to maximize mental health and well-being in young adults.

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 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 Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

scholarly journals Thermal Comfort and Sleep Quality of Indonesian Students Living in Japan during Summer and Winter

Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 326
Author(s):  
Wiwik Budiawan ◽  
Kazuyo Tsuzuki
Keyword(s):  
Sleep Quality ◽  
Thermal Comfort ◽  
Thermal Sensation ◽  
Thermal Conditions ◽  
Physical Conditions ◽  
Subjective Sleepiness ◽  
Adaptive Action ◽  
Quality Sleep ◽  
Sleep Parameters

Thermal comfort is crucial in satisfaction and maintaining quality sleep for occupants. In this study, we investigated the comfort temperature in the bedroom at night and sleep quality for Indonesian students during summer and winter. Eighteen male Indonesian students aged 29 ± 4 years participated in this study. The participants had stayed in Japan for about six months. We evaluated the sleep parameters using actigraphy performed during summer and winter. All participants completed the survey regarding thermal sensation, physical conditions, and subjective sleepiness before sleep. The temperature and relative humidity of participants’ bedrooms were also measured. We found that the duration on the bed during winter was significantly longer than that during summer. However, sleeping efficiency during winter was significantly worse than that during summer. The bedroom temperature of the participants was in the range of comfort temperature in Indonesia. With the average bedroom air temperature of 22.2 °C, most of the participants still preferred “warm” and felt “slightly comfortable” during winter. The average comfort temperature each season calculated using the Griffiths method was 28.1 °C during summer and 23.5 °C during winter. In conclusion, differences in adaptive action affect bedroom thermal conditions. Furthermore, habits encourage the sleep performance of Indonesian students.

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