scholarly journals Left superior temporal sulcus morphometry mediates the impact of anxiety and depressive symptoms on sleep quality in healthy adults

2021 ◽  
Author(s):  
Yanlin Wang ◽  
Ping Jiang ◽  
Shi Tang ◽  
Lu Lu ◽  
Xuan Bu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Superior Temporal Sulcus ◽  
Healthy Adults ◽  
Poor Sleep ◽  
Emotional Symptoms ◽  
Neural Basis ◽  
Poor Sleep Quality ◽  
The Impact

Abstract Anxiety and depressive symptoms may predispose individuals to sleep disturbance. Understanding how these emotional symptoms affect sleep quality, especially the underlying neural basis, could support the development of effective treatment. The aims of the present study were therefore to investigate potential changes in brain morphometry associated with poor sleep quality and whether this structure played a mediating role between the emotional symptoms and sleep quality. One hundred and forty-one healthy adults (69 women, mean age = 26.06 years, SD = 6.36 years) were recruited. A structural magnetic resonance imaging investigation was performed, and self-reported measures of anxiety, depressive symptoms and sleep quality were obtained for each participant. Whole-brain regression analysis revealed that worse sleep quality was associated with thinner cortex in left superior temporal sulcus (STS). Furthermore, the thickness of left STS mediated the association between the emotional symptoms and sleep quality. A subsequent commonality analysis showed that physiological component of the depressive symptoms had the greatest influence on sleep quality. In conclusion, thinner cortex in left STS may represent a neural substrate for the association between anxiety and depressive symptoms and poor sleep quality and may thus serve as a potential target for neuromodulatory treatment of sleep problems.

scholarly journals THE MODERATING EFFECT OF RAISING ONE’S GRANDCHILDREN ON THE RELATION BETWEEN SLEEP AND DEPRESSION

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S678-S678
Author(s):  
Melanie Stearns ◽  
Danielle K Nadorff
Keyword(s):  
Older Adults ◽  
Risk Factor ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Depression Scale ◽  
Poor Sleep ◽  
Older Individuals ◽  
Poor Sleep Quality ◽  
Custodial Grandparents

Abstract Recent evidence has shown that poor quality sleep is associated with depression, particularly among older individuals (Bao et al., 2017; Nadorff, Fiske, Sperry, & Petts, 2012). Moreover, given the high prevalence of depressive symptoms among older adults, it is important to identify possible risk factors of poor sleep quality. One possible risk factor is being a custodial grandparent (raising one’s grandchildren), as increased caregiving responsivities are associated with increased depressive symptoms (Brand-Winterstein, Edelstein, & Bachner, 2018). Based upon these previous findings, the current study examines the effect of custodial status on the relation between sleep quality and depressive symptoms. The sample (N = 466) was a subset of individuals recruited in the second wave of the MIDUS biomarkers project completed in 2009 who answered the sleep, caregiving, and depressive symptoms variables of interest. Measures included the Center for Epidemiological Studies Depression Scale (CESD), the Pittsburgh Sleep Quality Index (PSQI), and a question regarding custodial grandparent status. The current study aimed to examine whether poor sleep quality might serve as a risk factor for experiencing depressive symptoms and how custodial grandparents might differ from other older adults. Moderation analyses were conducted using SPSS’ Process macro on the sample. The interaction between global sleep quality and custodial grandparent status was significant in predicting depressive symptoms, t (1, 465) = 3.90, p = .04, such that custodial grandparents reported a stronger positive correlation between greater global sleep problems and depressive symptoms than non-custodial grandparents. Implications, future directions, and limitations are discussed.

scholarly journals The Impact of Sleep Timing, Sleep Duration, and Sleep Quality on Depressive Symptoms and Suicidal Ideation amongst Japanese Freshmen: The EQUSITE Study

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Atin Supartini ◽  
Takanori Honda ◽  
Nadzirah A. Basri ◽  
Yuka Haeuchi ◽  
Sanmei Chen ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Poor Sleep Quality ◽  
The Impact

Aim. The aim of this study was to identify the impact of bedtime, wake time, sleep duration, sleep-onset latency, and sleep quality on depressive symptoms and suicidal ideation amongst Japanese freshmen.Methods. This cross-sectional data was derived from the baseline survey of the Enhancement of Q-University Students Intelligence (EQUSITE) study conducted from May to June, 2010. A total of 2,631 participants were recruited and completed the following self-reported questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression Scale (CES-D), and the original Health Support Questionnaires developed by the EQUSITE study research team.Results. Of 1,992 participants eligible for analysis, 25.5% (n=507) reported depressive symptoms (CES-D total score ≥ 16), and 5.8% (n=115) reported suicidal ideation. The present study showed that late bedtime (later than 01:30), sleep-onset latency (≥30 minutes), and poor sleep quality showed a marginally significant association with depressive symptoms. Poor sleep quality was seen to predict suicidal ideation even after adjusting for depressive symptoms.Conclusion. The current study has important implications for the role of bedtime in the prevention of depressive symptoms. Improving sleep quality may prevent the development of depressive symptoms and reduce the likelihood of suicidal ideation.

scholarly journals Sleep among gender minority adolescents

SLEEP ◽  
2020 ◽  
Author(s):  
Jessica C Levenson ◽  
Brian C Thoma ◽  
Jessica L Hamilton ◽  
Sophia Choukas-Bradley ◽  
Rachel H Salk
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Online Survey ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Gender Minority ◽  
Minority Adolescents ◽  
Inadequate Sleep

Abstract Study Objectives Stigmatized youth experience poorer sleep than those who have not experienced stigma. However, no studies have examined the sleep of gender minority adolescents (GMAs). Examining sleep disparities between GMAs and non-GMAs is critical because poor sleep is associated with mental health outcomes experienced disproportionately by GMAs. We examined sleep duration, sleep problems, and sleep quality among our sample and compared these parameters between GMAs and non-GMAs. Methods Adolescents aged 14–18 years (n = 1,027 GMA, n = 329 heterosexual non-GMA, n = 415 sexual minority non-GMA; mean age = 16 years; 83% female sex at birth) completed a cross-sectional online survey, reporting sex assigned at birth and current gender identity, sleep duration, sleep problems (too much/too little sleep and inadequate sleep), sleep quality, and depressive symptoms. Results Accounting for demographic covariates, GMAs were more likely to report inadequate sleep and shorter sleep duration and had higher odds of reporting poor sleep quality and getting too little/too much sleep than heterosexual non-GMAs. After also adjusting for depressive symptoms, the finding that GMAs more often reported poor sleep quality remained significant. Conclusions This first large, nationwide survey of sleep among GMAs suggests that GMAs may be more likely to have poor sleep than non-GMAs. The significance of our results was reduced when adjusting for depressive symptoms, suggesting that poorer sleep may occur in the context of depression for GMAs. Future work should include objective measures of sleep, examine the emergence of sleep disparities among GMAs and non-GMAs, and explore pathways that increase risk for poor sleep among GMAs.

scholarly journals Persistence of the Effects of the COVID-19 Lockdown on Sleep: A Longitudinal Study

2021 ◽  
Vol 11 (11) ◽  
pp. 1520
Author(s):  
Maurizio Gorgoni ◽  
Serena Scarpelli ◽  
Anastasia Mangiaruga ◽  
Valentina Alfonsi ◽  
Maria R. Bonsignore ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Online Survey ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Final Sample ◽  
Sleep Arousal ◽  
Related Stress ◽  
Restrictive Measures

The effects of the COVID-19 pandemic on sleep have been widely documented, but longitudinal evaluations during different phases of the “COVID-19 era” are needed to disentangle the specific consequences of the r145estrictive measures on sleep variables. The aim of this study was to assess the immediate effect of the lockdown’s end on sleep and sleep-related dimensions in an Italian sample, also considering the stress and depressive symptoms. We used an online survey to longitudinally collect data on sociodemographic, environmental, clinical, sleep, and sleep-related variables in two time points: during and immediately after the lockdown. The final sample included 102 participants. The large prevalence of poor sleep quality, clinically relevant pre-sleep arousal, and depressive symptoms, as well as poor sleep quality and pre-sleep arousal score observed during the lockdown, remained stable after its end. On the other hand, the prevalence of moderate-to-severe event-related stress and intrusive symptom scores exhibited a drastic reduction after the end of home confinement. Both bedtime and rise time were anticipated after the lockdown, while sleep quality exhibited only a trend of post-lockdown sleep disturbance reduction. Our findings point to a reduced stress level (specific for the intrusive symptomatology) after the end of the lockdown and persistence of sleep problems, suggesting two non-mutually exclusive hypotheses: (a) the strict restrictive measures are not the main cause of sleep problems during the pandemic and (b) home confinement induces long-lasting effects on sleep observable after its end, and a longer period of time might be needed to observe an improvement.

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 Gambling Problems Are Associated with Alcohol Misuse and Insomnia: Results from a Representative National Telephone Survey

2021 ◽  
Vol 18 (13) ◽  
pp. 6683
Author(s):  
Hannah Briony Thorne ◽  
Matthew Justus Rockloff ◽  
Sally Anne Ferguson ◽  
Grace Elizabeth Vincent ◽  
Matthew Browne
Keyword(s):  
At Risk ◽  
Alcohol Consumption ◽  
Sleep Quality ◽  
Problem Gambling ◽  
Alcohol Misuse ◽  
Sleep Problems ◽  
Online Gambling ◽  
Poor Sleep ◽  
Gambling Problems ◽  
Poor Sleep Quality

Gambling has significant costs to the community, with a health burden similar in scale to major depression. To reduce its impact, it is necessary to understand factors that may exacerbate harm from gambling. The gambling environment of late-night licensed venues and 24/7 online gambling has the potential to negatively impact sleep and increase alcohol consumption. This study explored gambling, alcohol, and sleep problems to understand whether there is a relationship between these three factors. Telephone interviews were conducted with a representative sample of Australian adults (n = 3760) combined across three waves of the National Social Survey. Participants completed screening measures for at-risk gambling, at-risk alcohol consumption, insomnia (2015 wave only), and sleep quality. There were small but significant positive correlations between problem gambling and alcohol misuse, problem gambling and insomnia, and problem gambling and poor sleep quality. A regression model showed that gambling problems and alcohol misuse were significant independent predictors of insomnia. A separate regression showed gambling problems (and not alcohol misuse) were a significant predictor of poor sleep quality, but only in one survey wave. Findings suggest that gambling, alcohol, and sleep problems are related within persons. Further research should examine the mechanisms through which this relationship exists.

scholarly journals The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

scholarly journals 1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A435-A435
Author(s):  
T J Braley ◽  
A L Kratz ◽  
D Whibley ◽  
C Goldstein
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Extreme Values ◽  
Sleep Onset ◽  
External Support ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Historical Cohort ◽  
The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (&gt;10 and &gt;1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep &lt;=426.25 minutes (18%), long sleep &gt;515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of &gt;10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

Differential Diagnosis of Sluggish Cognitive Tempo Symptoms in College Students

2020 ◽  
pp. 108705471989685
Author(s):  
Benjamin J. Lovett ◽  
Whitney L. M. Wood ◽  
Lawrence J. Lewandowski
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Substance Misuse ◽  
Sleep Problems ◽  
Sluggish Cognitive Tempo ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Poor Sleep Quality ◽  
Clinically Significant ◽  
Cognitive Tempo

Objective: Sluggish cognitive tempo (SCT) refers to a set of symptoms that prior research has found to be related to several different psychological disorders, especially the predominantly inattentive presentation of ADHD. This study collected evidence relevant to the question of whether SCT is a distinct disorder. Method: College students ( N = 910) completed measures of SCT, ADHD, depression, anxiety, sleep quality, and substance misuse. Results: Students reporting clinically high SCT (reporting at least five symptoms often or very often) had significantly higher levels and rates of other types of psychopathology. Moreover, when students reporting clinically significant levels of ADHD, depression, and anxiety symptoms, poor sleep quality, or hazardous levels of alcohol or cannabis use were removed, very few students reporting high SCT remained (only 4.8% of the original high-SCT group). Conclusion: SCT may be best thought of as a symptom set common to many types of psychopathology, and it may be caused by sleep problems or substance misuse as well.

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