Sleep-impaired emotional regulation, impaired cognition, and poor sleep health are associated with risky sleepy driving in young adults

Abstract Introduction The Toronto Academic Pain Medicine Institute (TAPMI) Young Adult Clinic (YAC) was developed to offer transition services for clients aged 17–25 with persistent pain. It was noticed that YAC patients had significant problems with their sleep and the program was expanded in January 2019 by including a sleep medicine specialist for systematic evaluation of sleep health. Long-term sleep disruption has been associated with increase sensitivity to pain, prolonged pain duration, and predicts chronic pain. The degree of pain relief can directly impact the quality and disruption of sleep. Methods After approval from institutional review board, we reviewed YAC medical charts from March 2018 to April 2019 and extracted information pertaining to demographics, chronic pain and sleep. We present here the preliminary data of our multidisciplinary clinic Results 55 medical charts were reviewed which included 40 females, 13 males, 2 nonbinary individuals, with a mean age of 20.3±2.4 years. 53% of the patients had chronic widespread pain. Symptoms of or disorder of sleep were reported in 72.7% of the patients. The various nighttime disorders of sleep were trouble falling asleep, insomnia, problems with sleep initiation, difficulty in maintaining sleep, poor sleep continuity, frequent night awakenings due to pain, restless leg syndrome (RLS), obstructive sleep apnea, parasomnic behavior, circadian rhythm disorder such as delayed sleep phase disorder. As assessed by Epworth Sleepiness scale, 7% of the patients had mild, 7% had moderate and 2% had severe daytime sleepiness. 42% of the youths demonstrated a low self-efficacy score as per Pain Self Efficacy Questionnaire (PSEQ). Patient Health Questionnaire (PHQ-9) was used to measure the severity of depression which showed that 5.5%, 27%, 18%, 14.5%, 22% of the YAC patients suffered from minimal, mild, moderate, moderately-severe and severe depression respectively. The information collected on Pain Catastrophizing scale (PCS) suggested that 24%, 29% and 31% were at low, moderate, and high risk respectively in having catastrophizing thoughts and feelings related to pain. There was no statistical difference in the means PSEQ, PHQ-9 and PCS scores of young adults. Conclusion Sleep disturbances may be an important modifiable risk factor for alleviating distress in young adults with chronic pain. Support (if any):

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The effects of sleep deprivation on the processing of emotional facial expressions in young adults with and without ADHD

Scientific Reports ◽

10.1038/s41598-021-93641-7 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Ami Cohen ◽

Kfir Asraf ◽

Ivgeny Saveliev ◽

Orrie Dan ◽

Iris Haimov

Keyword(s):

Young Adults ◽

Sleep Deprivation ◽

Facial Expressions ◽

Interactive Effect ◽

Control Group ◽

Experimental Session ◽

Poor Sleep ◽

Adhd Group ◽

Emotional Facial Expressions ◽

Oddball Task

AbstractThe ability to recognize emotions from facial expressions is essential to the development of complex social cognition behaviors, and impairments in this ability are associated with poor social competence. This study aimed to examine the effects of sleep deprivation on the processing of emotional facial expressions and nonfacial stimuli in young adults with and without attention-deficit/hyperactivity disorder (ADHD). Thirty-five men (mean age 25.4) with (n = 19) and without (n = 16) ADHD participated in the study. During the five days preceding the experimental session, the participants were required to sleep at least seven hours per night (23:00/24:00–7:00/9:00) and their sleep was monitored via actigraphy. On the morning of the experimental session, the participants completed a 4-stimulus visual oddball task combining facial and nonfacial stimuli, and repeated it after 25 h of sustained wakefulness. At baseline, both study groups had poorer performance in response to facial rather than non-facial target stimuli on all indices of the oddball task, with no differences between the groups. Following sleep deprivation, rates of omission errors, commission errors and reaction time variability increased significantly in the ADHD group but not in the control group. Time and target type (face/non-face) did not have an interactive effect on any indices of the oddball task. Young adults with ADHD are more sensitive to the negative effects of sleep deprivation on attentional processes, including those related to the processing of emotional facial expressions. As poor sleep and excessive daytime sleepiness are common in individuals with ADHD, it is feasible that poor sleep quality and quantity play an important role in cognitive functioning deficits, including the processing of emotional facial expressions that are associated with ADHD.

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Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials

International Journal of Behavioral Nutrition and Physical Activity ◽

10.1186/s12966-021-01112-z ◽

2021 ◽

Vol 18 (1) ◽

Author(s):

Mitch J. Duncan ◽

Anna T. Rayward ◽

Elizabeth G. Holliday ◽

Wendy J. Brown ◽

Corneel Vandelanotte ◽

...

Keyword(s):

Mental Health ◽

Physical Activity ◽

Trial Registration ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Sleep Health ◽

Intervention Effects ◽

Symptoms Of Depression ◽

Randomised Controlled

Abstract Background To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18–65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40–65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet “app” using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; − 0.60,-0.11), anxiety (− 0.11; − 0.27,-0.01), stress (− 0.37; − 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111–1194-2680; U1111–1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016–0181.

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Trauma, Sleep and Mental Health Problems in Low-Income Young Adults

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18031145 ◽

2021 ◽

Vol 18 (3) ◽

pp. 1145

Author(s):

Rachel A. Fusco ◽

Yan Yuan ◽

Hyunji Lee ◽

Christina E. Newhill

Keyword(s):

Mental Health ◽

Young Adults ◽

Low Income ◽

Mental Health Problems ◽

Trauma Exposure ◽

Health Problems ◽

Equation Modeling ◽

Poor Sleep ◽

Depression And Anxiety ◽

The Relationship

Low-income young adults are more likely to have exposure to trauma, which increases risk for mental health problems. Although adequate sleep promotes good health, people with histories of trauma are more likely to have sleep problems. The current study explored whether poor sleep mediated the relationship between trauma exposure and mental health. A sample of 143 low-income 18–24-year-old young adults completed depression, anxiety, and trauma exposure measures and wore sleep monitors for four nights. Structural equation modeling (SEM) was used to examine both direct and indirect effects of variables. Results showed that higher trauma exposure was associated with depression and anxiety. Mean sleep hours per night was fewer than six, far below recommended guidelines for optimal health and functioning. Fewer sleep hours partially mediated the relationship between both trauma exposure and depression and anxiety, and the direct effect from trauma remained significant after adjusting for the partial mediation from sleep.

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Poor Sleep Health and Next Day Work Impairment: The Mediating Role of Fatigue

Innovation in Aging ◽

10.1093/geroni/igaa057.1384 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 428-429

Author(s):

Breann LaRocque ◽

Christina Mu ◽

Soomi Lee

Keyword(s):

Sleep Quality ◽

Work Performance ◽

Multilevel Models ◽

Poor Sleep ◽

Sleep Health ◽

Work Impairment ◽

Mediating Role ◽

Life Threatening ◽

Healthcare Professions ◽

Ecological Momentary

Abstract Nightly sleep impacts next-day alertness and cognitive functioning. For healthcare professions, work impairment can be life-threatening for patients. Thus, understanding how sleep affects work quality is imperative to promoting medical safety and overall health of workers. The current study investigated whether nightly sleep health is associated with next-day work impairment in nurses and whether this association is mediated by daily fatigue. Sixty nurses reported their sleep characteristics, fatigue, and work impairment using ecological momentary assessment for two weeks. We used a series of multilevel models (a path: sleep→fatigue, b path: fatigue→work impairment, c path: sleep→work impairment, c′ path: sleep and fatigue→work impairment), adjusting for sociodemographics and work shift. At the between-person level, poorer sleep quality was associated with greater work impairment (βc=-23.36, p<.001). This association was mediated by fatigue such that poorer sleep quality was associated with greater fatigue (βa=-19.54, p<.01), which was further associated with greater work impairment (βb=0.79, p<.001). After including fatigue, the association of sleep quality with work impairment was reduced (βc′ =-7.07, p=.08). Similarly, fatigue mediated the relationship between sleep sufficiency and work impairment (βa=-16.49; βb=0.79; βc=-19.36; p<.001; βc′ =-6.32, p=.05). At the within-person level, on days after long sleep duration (>8hrs), nurses reported greater work impairment (βc=10.08, p<.01), however, this was not mediated by fatigue. Our results suggest that poor sleep health may impair next-day work performance, mostly through increased fatigue. Future interventions for nurses can target daily fatigue to reduce the adverse effects of poor sleep on work impairment.

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534 Food Insecurity and Sleep Health by Race/Ethnicity and Age Group in the United States

SLEEP ◽

10.1093/sleep/zsab072.532 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A211-A211

Author(s):

Nyree Riley ◽

Dana Alhasan ◽

W Braxton Jackson ◽

Chandra Jackson

Keyword(s):

Food Security ◽

Food Insecurity ◽

Sleep Duration ◽

Sleep Disturbances ◽

The United States ◽

Poor Sleep ◽

High Food ◽

Short Sleep Duration ◽

Sleep Health ◽

Falling Asleep

Abstract Introduction Food insecurity may influence sleep through poor mental health (e.g., depression) and immune system suppression. Although prior studies have found food insecurity to be associated with poor sleep, few studies have investigated the food security-sleep association among racially/ethnically diverse participants and with multiple sleep dimensions. Methods Using National Health Interview Survey data, we examined overall, age-, sex/gender-, and racial/ethnic-specific associations between food insecurity and sleep health. Food security was categorized as very low, low, marginal, and high. Sleep duration was categorized as very short (<6 hours), short (<7 hours), recommended (7–9 hours), and long (≥9 hours). Sleep disturbances included trouble falling and staying asleep, insomnia symptoms, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographic characteristics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (95% CI) for sleep dimensions by very low, low, and marginal vs. high food security. Results The 177,435 participants’ mean age was 47.2±0.1 years, 52.0% were women, 68.4% were Non-Hispanic (NH)-White. Among individuals reporting very low food security, 75.4% had an annual income of <$35,000 and 60.3% were ≥50 years old. After adjustment, very low vs. high food security was associated with a higher prevalence of very short (PR=2.61 [95%CI: 2.44–2.80]) and short (PR=1.66 [95% CI: 1.60–1.72]) sleep duration. Very low vs. high food security was associated with both trouble falling asleep (PR=2.21 [95% CI: 2.12–2.30]) and trouble staying asleep (PR=1.98 [95% CI: 1.91–2.06]). Very low vs. high food security was associated with higher prevalence of very short sleep duration among Asians (PR=3.64 [95% CI: 2.67–4.97]), Whites (PR=2.73 [95% CI: 2.50–2.99]), Blacks (PR=2.03 [95% CI: 1.80–2.31]), and Hispanic/Latinxs (PR=2.65 [95% CI: 2.30–3.07]). Conclusion Food insecurity was associated with poor sleep in a diverse sample of the US population. Support (if any):

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The Relationship Between Childhood Trauma and Poor Sleep Health in Adulthood

Psychosomatic Medicine ◽

10.1097/psy.0000000000000542 ◽

2018 ◽

Vol 80 (2) ◽

pp. 200-207 ◽

Cited By ~ 20

Author(s):

Ryan C. Brindle ◽

Matthew R. Cribbet ◽

Laura B. Samuelsson ◽

Chenlu Gao ◽

Ellen Frank ◽

...

Keyword(s):

Childhood Trauma ◽

Poor Sleep ◽

Sleep Health ◽

The Relationship

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Emotional Regulation and Cognitive Flexibility in Young Adults

JOURNAL OF PSYCHOSOCIAL RESEARCH ◽

10.32381/jpr.2020.15.02.22 ◽

2020 ◽

Vol 15 (2) ◽

pp. 609-617

Author(s):

Surabhi Ghosh ◽

◽

Susmita Halder ◽

Keyword(s):

Young Adults ◽

Cognitive Flexibility ◽

Emotional Regulation

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Association of physical activity with sleep health: A systematic review

Revista Brasileira de Atividade Física & Saúde ◽

10.12820/rbafs.23e0057 ◽

2019 ◽

Vol 23 ◽

pp. 1-26

Author(s):

Andrea Wendt ◽

Thaynã Ramos Flores ◽

Inácio Crochemore Mohnsam Silva ◽

Fernando César Wehrmeister

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Sleep Duration ◽

Undergraduate Students ◽

Data Extraction ◽

Activity Measurement ◽

Poor Sleep ◽

Long Term Effects ◽

Sleep Health ◽

Cross Sectional

The aim of this study was to systematically examine the literature on physical activity and sleep in non-clinical and population-based settings. The inclusion criteria were original studies testing the association between physical activity (as exposure) and sleep (as outcome) in representative samples of the general population, workers, or undergraduate students. Sleep health included sleep duration, sleep quality and insomnia. Studies evaluating samples including only individuals with some disease or a health condition were excluded. A search was performed in the PubMed, Scopus, Lilacs, CINAHL, and SPORTdiscus databases in March 2018. Data extraction was performed using the following items: year, author, country, population, age group, sample size, study design, sleep measurement/definition, physical activity measurement/definition, adjustment and main results. A total of 57 studies were selected, which markedly used heterogeneous instruments to measure physical activity and sleep. The majority were conducted in high-income countries and with cross-sectional design. Physical activity was associated with lower odds of insomnia (observed in 10 of 17 studies), poor sleep quality (observed in 12 of 19 studies) and long sleep duration (observed in 7 of 11 studies). The results about short sleep or continuous sleep duration remain unclear. Physical activity seems to be associated with sleep quality and insomnia, especially among adult and elderly populations in which these outcomes are more usually measured. The short- and long-term effects of physical activity intensities and dose-response on sleep should be better evaluated.

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Factors influencing cognitive reactivity among young adults at high risk for depression in China: a cross-sectional study

10.21203/rs.2.18838/v1 ◽

2019 ◽

Author(s):

Fei Fei Huang ◽

Zhi Peng Wen ◽

Qi Li ◽

Bin Chen ◽

Wen Jie Weng

Keyword(s):

Social Support ◽

Young Adults ◽

Life Events ◽

Negative Life Events ◽

Poor Sleep ◽

Cross Sectional ◽

Cognitive Reactivity ◽

Self Compassion ◽

Factors Influencing ◽

Chinese Young Adults

Abstract BackgroundUnderstanding the factors influencing cognitive reactivity (CR) may help identify individuals at risk for first episode depression and relapse, and facilitate routine access to preventative treatments. However, few studies have examined CR to depression in Asian countries. This study was performed to ascertain the current status of CR among Chinese young adults and explore the factors that influence their CR. MethodsA national cross-sectional online study using convenience sampling was conducted among 1637 healthy young adults in China (96.29%). ResultsThe mean CR score was 1.73±0.64. Binary logistic regression showed that a low level of CR was associated with the following factors: high self-compassion, high social support, high resilience, high monthly household income, and living in a rural area, with odds ratios (ORs) ranging from 0.14 to 0.70. Young adults in full-time employment, experiencing poor sleep, with high neuroticism, who reported frequent sad mood, and who had a high intensity of negative life events had increased CR to depression, with ORs ranging from 1.18 to 6.66. The prediction probability of these factors was 75.40%. Any causal relationships among the influencing factors and CR cannot be established. ConclusionsThe self-reported CR levels among Chinese young adults were moderate. Enhancing self-compassion, resilience, and social support for young adults and reducing negative life events, neuroticism, and poor sleep may facilitate reducing CR. These findings may help healthcare providers or researchers determine how to cultivate and improve the CR of young adults by establishing documented policies and/or improving intervention efficacies.

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