scholarly journals 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

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.

scholarly journals ASSOCIATION OF SLEEP PROBLEMS AND COMMON MENTAL HEALTH PROBLEMS IN ENGINEERING STUDENTS OF SGT UNIVERSITY, GURUGRAM, INDIA

2020 ◽  
Vol 8 (12) ◽  
pp. 148-155
Author(s):  
Niyatisheokand a ◽  
◽  
Nimmi A. Jose ◽  
Abhishek Kapoor ◽  
Priya Arora ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Engineering Students ◽  
Mental Health Problems ◽  
Sleep Problems ◽  
General Health Questionnaire ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality

Introduction:Sleep is naturally recurring state of mind and body, characterized by altered consciousness, inhibition of nearly all voluntary muscles and reduced interactions with surroundings. Chronic disturbances can lead to poor sleep quality which may manifest as increased irritability, anxiety, tension, depression, confusion. The undergraduate years are a period of vulnerability when considering sleep problems and mental health may tend to worsen over time. Alcohol, tobacco, and stimulant beverages such as tea/ caffeine affect the quality of sleep. Students are more prone to adopt and practice maladaptive sleep hygiene such as irregular bedtime, academic pressure, internet addiction, electronic media exposure, alcohol consumption and smoking, which affects quality of sleep. Material and Methods:The study was a cross sectional, interview based, non-interventional studyconducted on the engineering students at SGT University, Budhera, Gurgaon, Haryana, India. Data was collected through questionnaires such as Pittsburgh Sleep Quality Index, The Epworth `Sleepiness Scale, Depression Anxiety Stress Scale, The general health questionnaire. Results:A total of 274 students were included in the study. The mean age was20.11 ± 1.30 years and there were more male (77.3%) students as compared to females (22.7%). Alcohol use was present in 43(11.7%) of students, cannabis intake was present in 11(4%), nicotine intake was reported by 39(14.2%) of students and only one student reported of taking opioid. DASS-A, DASS-S, DASS-D, GHQ-12, PSQI were positively correlated with each other when associations were studied individually. Conclusion:In our study,it was established that poor sleep quality in engineering students was significantly associated with poor mental and physical health.

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

2020 ◽  
Vol 54 (7) ◽  
pp. 470-483 ◽  
Author(s):  
Anna T Rayward ◽  
Beatrice Murawski ◽  
Mitch J Duncan ◽  
Elizabeth G Holliday ◽  
Corneel Vandelanotte ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Controlled Trial ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Wait List Control ◽  
Improve Sleep Quality ◽  
Middle Aged Adults

Abstract Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. Methods Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40–65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet “app” to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. Results Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. Conclusions PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality. Clinical Trial information Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

scholarly journals The impact of sleep, physical activity and sedentary behaviour on symptoms of depression and anxiety before and during the COVID-19 pandemic in a sample of South African participants

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
R. Lewis ◽  
L. C. Roden ◽  
K. Scheuermaier ◽  
F. X. Gomez-Olive ◽  
D. E. Rae ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
South African ◽  
Mental Health Outcomes ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Symptoms Of Depression ◽  
The Impact ◽  
Screen Use

AbstractDuring lockdowns associated with the COVID-19 pandemic, individuals have experienced poor sleep quality and sleep regularity, changes in lifestyle behaviours, and heightened depression and anxiety. However, the inter-relationship and relative strength of those behaviours on mental health outcomes is still unknown. We collected data between 12 May and 15 June 2020 from 1048 South African adults (age: 32.76 ± 14.43 years; n = 767 female; n = 473 students) using an online questionnaire. Using structural equation modelling, we investigated how insomnia symptoms, sleep regularity, exercise intensity/frequency and sitting/screen-use (sedentary screen-use) interacted to predict depressive and anxiety-related symptoms before and during lockdown. We also controlled for the effects of sex and student status. Irrespective of lockdown, (a) more severe symptoms of insomnia and greater sedentary screen-use predicted greater symptoms of depression and anxiety and (b) the effects of sedentary screen-use on mental health outcomes were mediated by insomnia. The effects of physical activity on mental health outcomes, however, were only significant during lockdown. Low physical activity predicted greater insomnia symptom severity, which in turn predicted increased depressive and anxiety-related symptoms. Overall, relationships between the study variables and mental health outcomes were amplified during lockdown. The findings highlight the importance of maintaining physical activity and reducing sedentary screen-use to promote better sleep and mental health.

scholarly journals The effect of mental health on sleep quality of front-line medical staff during the COVID-19 outbreak in China: A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253753
Author(s):  
Leiyu Yue ◽  
Rui Zhao ◽  
Qingqing Xiao ◽  
Yu Zhuo ◽  
Jianying Yu ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Medical Staff ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Front Line ◽  
Poor Sleep Quality ◽  
Cross Sectional

Background The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency of international concern and poses a challenge to the mental health and sleep quality of front-line medical staff (FMS). The aim of this study was to investigate the sleep quality of FMS during the COVID-19 outbreak in China and analyze the relationship between mental health and sleep quality of FMS. Methods From February 24, 2020 to March 22, 2020, a cross-sectional study was performed with 543 FMS from a medical center in Western China. A self-reported questionnaire was used to collect data anonymously. The following tests were used: The Self-Rating Anxiety Scale (SAS) for symptoms of anxiety, the Beck Depression Inventory (BDI) for depressive symptoms, and the Pittsburgh Sleep Quality Index (PSQI) for sleep quality assessment. Results Of the 543 FMS, 216 (39.8%) were classified as subjects with poor sleep quality. Anxiety (P<0.001), depression (P<0.001), and the prevalence of those divorced or widowed (P<0.05) were more common in FMS with poor sleep quality than in participants with good sleep quality. The FMS exhibiting co-occurrence of anxiety and depression were associated with worse scores on sleep quality than those medical staff in the other three groups/categories. The difference in sleep quality between the FMS with only depression and the FMS experiencing co-occurrence of anxiety and depression was statistically significant (P<0.05). However, there was no significant difference in sleep quality between the FMS experiencing only anxiety and the FMS with co-occurrence of anxiety and depression (P > 0.05). Conclusions During the COVID-19 pandemic, there was a noteworthy increase in the prevalence of negative emotions and sentiments among the medical staff, along with poor overall sleep quality. We anticipate that this study can stimulate more research into the mental state of FMS during outbreaks and other public health emergencies. In addition, particular attention must be paid to enhance the sleep quality of FMS, along with better planning and support for FMS who are continuously exposed to the existing viral epidemic by virtue of the nature of their profession.

An assessment of mental health and its associated factors in Indian population during COVID-19 crisis: A cross sectional study (Preprint)

2020 ◽  
Author(s):  
Dr. Laxmi Verma ◽  
Shailendra Chhonkar
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Indian Population ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Anxiety ◽  
Cross Sectional

BACKGROUND India has seen a tremendous surge in COVID-19 cases since past few months. This unpredictable disease has threatened people’s mental health as much as their physical health. OBJECTIVE To assess the burden of mental health amid this pandemic, we conducted a cross-sectional study in Indian population. We also assessed the predictors of mental health burden. METHODS A cross-sectional, web based study was adopted using the snowball sampling method. Participants were invited to fill a validated questionnaire that assessed the demographic characteristics, Knowledge of Covid-19, quality of sleep (PSQI), generalized anxiety disorder (GAD) and depressive symptoms (CES-D). RESULTS Findings in our study revealed that participants were having high Anxiety (43.6%), depressive symptoms (43.8%) and poor sleep quality (56.2%). Multivariable logistic regression analysis suggested that people ≥35 years were prone to have GAD, depressive symptoms and poor sleep quality. Healthcare workers were at higher risk to develop anxiety, depressive symptoms and inferior quality of sleep (P<.000) compared to the other occupations. Females tend to have high anxiety and depression (P<.000). Additionally, People having poor understanding about Covid-19 had more sleep related problems. CONCLUSIONS The study findings indicated that the Indian population amid Covid-19 crisis reported to have high anxiety, depressive symptoms and poor sleep quality. Government needs to devise a comprehensive, effective and efficient action plan to address this probing issue.

scholarly journals Sleep problems among Dutch higher educational students, working towards solutions

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
C Van Der Heijde ◽  
M Van Weeren ◽  
P Vonk
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Associated Factors ◽  
Sleep Problems ◽  
Attention Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
High Prevalence ◽  
Higher Educational

Abstract Background Lately, attention for the role of sleep in health and wellbeing has increased. Short sleep duration and poor quality of sleep are associated with a higher chance at several (mental) health issues, including a higher mortality risk. Furthermore it is associated with attention problems and lower academic achievement. Poor sleep has a high prevalence, especially among students. We aim to provide (policy) recommendations from studying the associated factors on an individual and social level with poor sleep and its consequences. Methods In a cross-sectional survey design (N = 493), the extent of sleep problems and its associated factors was studied amongst a group of Dutch students. The Pittsburg Sleep Quality Index (PSQI) was used. Linear regression analysis was performed. Participants were recruited through social media and e-mail (Male 43%; Female 57%; mean age, 22 years). Additionally, experts were questioned in a small survey to come up with solutions (N = 24). Results 59% of higher educational students suffer from poor sleep quality. Factors that were significantly associated with worse sleep quality were: sleep need, behavior and psychology (effects stress overload), having a paid job in the evening/night, loneliness, having the Chinese and other ethnicity and having a sleep-related disorder. Sleep was significantly associated with worse mental health, vitality and drug use. Additionally, sleep was a significant predictor for attention problems and worse academic performance in the current academic year. Conclusions Nearly 2 out of 3 students suffered from poor sleep quality, reconfirming the high prevalence amongst higher educational students in other studies. Universities can contribute to better sleep quality of their students by educating their students more about sleep hygiene (including effects of drugs and how to deal with high work pressures), and make them more aware of the availability of student psychologists and student general practitioners. Key messages Students in higher education are a population at high risk for poor sleep quality. More attention for the importance of sleep for health, wellbeing and academic achievements should be implemented in the university institutional context.

scholarly journals Changes in the Health of Adolescent Athletes: A Comparison of Health Measures Collected Before and During the CoVID-19 Pandemic

2021 ◽  
Author(s):  
Timothy A. McGuine ◽  
Kevin Biese ◽  
Scott J. Hetzel ◽  
Labina Petrovska ◽  
Stephanie Kliethermes ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Physical Activity ◽  
Online Survey ◽  
Depression Symptoms ◽  
List Type ◽  
Adolescent Athletes ◽  
Symptoms Of Depression ◽  
Health Measures

ABSTRACTContextIn the spring of 2020, schools closed to in-person teaching and sports were cancelled to control the transmission of CoVID-19. The changes that took place to the physical and mental health among young athletes during this time remain unknown, however.ObjectiveIdentify changes in the health (mental health, physical activity and quality of life) of athletes that occurred during the CoVID-19 pandemic.DesignCross sectional study.SettingSample recruited via social media.Patients or Other Participants3243 Wisconsin adolescent athletes (age=16.2±1.2 yrs., female=58% female) completed an online survey in May 2020 (DuringCoVID-19). Health measures for this cohort were compared with previously reported data for Wisconsin adolescent athletes (n=5231, age=15.7±1.2, 47% female) collected in 2016–2018 (PreCoVID-19).Main Outcome Measure(s)Demographic information included: sex, grade and sports played. Health assessments included the Patient Health Questionnaire-9 Item (PHQ-9) to identify depression symptoms, the Pediatric Functional Activity Brief Scale (PFABS) for physical activity, and the Pediatric Quality of Life Inventory 4.0 (PedsQL) for health related quality of life (HRQoL). Univariable comparisons of these variables between groups were made via t-tests or chi-square tests. Means and 95% confidence intervals (CI) for each group were estimated by survey weighted ANOVA models.RESULTSCompared to PreCoVID-19, a larger proportion of the During-CoVID-19 participants reported rates of moderate to severe levels of depression (9.7% vs 32.9%, p<0.001). During-CoVID-19 participants reported 50% lower (worse) PFABS scores (mean:12.2 [95%CI: 11.9, 12.5] vs 24.7 [24.5, 24.9] p<0.001) and lower (worse) PedsQL total scores compared to the PreCoVID-19 participants (78.4 [78.0, 78.8] vs. 90.9 [90.5, 91.3] p<0.001).CONCLUSIONSDuring the CoVID-19 pandemic, adolescent athletes reported increased symptoms of depression, decreased physical activity and decreased quality of life compared to adolescent athletes in previous years.Key pointsAdolescent athletes during CoVID-19 were three times more likely to report moderate to severe symptoms of depression compared to data collected prior to CoVID-19.Adolescent athletes during CoVID-19 reported significantly lower physical activity and quality of life scores compared to high school athletes prior to the CoVID-19 pandemicPost CoVID-19 policies should be implemented to improve the health of adolescent athletes in the US.

scholarly journals The Impact of Work Organization, Job Stress, and Sleep on the Health Behaviors and Outcomes of U.S. Long-Haul Truck Drivers

2019 ◽  
Vol 46 (4) ◽  
pp. 626-636 ◽  
Author(s):  
Adam Hege ◽  
Michael K. Lemke ◽  
Yorghos Apostolopoulos ◽  
Sevil Sönmez
Keyword(s):  
Mental Health ◽  
Health Behaviors ◽  
Job Stress ◽  
Work Organization ◽  
Truck Drivers ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Sleep Health ◽  
Haul Truck ◽  
Health Diagnosis

Background. Compared with other occupations, long-haul truck drivers (LHTD) engage in excessively unhealthy behaviors and experience disproportionately poor health outcomes. Health promotion efforts targeting LHTDs focus on improving individual-level behaviors; however, this occupation is replete with adverse work organization characteristics, high job stress, and compromised sleep health, which are hypothesized to cause poor health behaviors and outcomes among LHTDs. Therefore, the purpose of this study was to explore the connections between work characteristics, job stress, and sleep outcomes, and health behaviors and physical and mental health outcomes among LHTDs. Method. This was a cross-sectional study, using interviewer-administered surveys with LHTDs ( n = 260). Bivariate correlation analysis was used to explore the associations among work organization, job stress, sleep health, and health behaviors and outcomes. Logistic regression analyses were used to determine whether these work organization, job stress, and sleep factors predicted health behaviors and outcomes. Results. Long work hours of more than 11 hours daily (odds ratio [OR] = 2.34) resulted in increased odds of high caffeine consumption. High job stress (OR = 0.48) and poor sleep quality (OR = 0.42) led to decreased odds for spending at least 1 hour daily for cooking/eating. Low sleep duration, less than 7 hours daily (OR = 2.55), led to increased odds of a physical health diagnosis. Both high job stress (OR = 3.58) and poor sleep quality (OR = 2.22) resulted in increased odds of a mental health diagnosis. Conclusion. Health promotion efforts targeting LHTDs need to be coupled with upstream policy, environmental, and systems-level change, especially at the governmental and trucking industry levels.

scholarly journals Faktor yang Mempengaruhi Kualitas Tidur Mahasiswa Fakultas Kedokteran Universitas Halu Oleo

2020 ◽  
Vol 5 (2) ◽  
pp. 22-33
Author(s):  
Haryati Haryati ◽  
Siti Patma Yunaningsi ◽  
Junuda RAF
Keyword(s):  
Physical Activity ◽  
Medical Students ◽  
Sleep Quality ◽  
Emotional Stress ◽  
Psychological Health ◽  
P Value ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality

Sleep is one of the basic human needs that can affect the quality of life and health. Poor sleep quality can result in decreased physiological and psychological health. Purpose: This study aims to determine the factors that affect the sleep quality of medical students of Halu Oleo University. The study design was using quantitative research with a cross-sectional approach. The sample of this study were 174 medical students of Halu Oleo University in the second and third academic years. The sampling technique was using Proportional Random Sampling. Data on sleep quality obtained by using the Pittsburgh Sleep Quality Index (PSQI) questionnaire and data analysis was using a chi-square statistical test with a confident interval of 95% (alpha = 0.05). The median age of respondents was 20 (range 18-21) years and 127 (73%) of the participants were females. A student with high physical activity was 112 (64.4%), sleep pattern in the good category as much as 98 (56.3%), and students with emotional stress in the low category were 120 (69.0%). More than half of students (89.1%) have poor sleep quality. The bivariate analysis showed that the factors that affect sleep quality were sleep patterns (p-value = 0.019) and emotional stress (p-value = 0.021). Student physical activity was not statistically affected sleep quality (p-value = 0.519). The sleep quality of medical students of Halu Oleo university were affected by sleep patterns and emotional stress.

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