scholarly journals Relationship between Physical Activity, Screen Time, and Sleep Quantity and Quality in US Adolescents Aged 16–19

2019 ◽  
Vol 16 (9) ◽  
pp. 1524 ◽  
Author(s):  
Furong Xu ◽  
Sue K. Adams ◽  
Steven A. Cohen ◽  
Jacob E. Earp ◽  
Mary L. Greaney
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Screen Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Sleep Quantity ◽  
Objectively Measured

Despite the health benefits associated with physical activity (PA), screen time reduction, and sleep quantity and quality, the relationships between PA, screen time, and sleep quantity and quality remain unclear in adolescents. The present study is a cross-sectional analysis of data from adolescents aged 16–19 years who participated in the 2005–2006 National Health and Nutrition Examination Survey (n = 542). Multivariable logistic regression models, adjusted for confounders, examined the relationship between objectively measured PA, self-reported screen time, and sleep quantity and quality. Respondents who met the current PA recommendation had 50% lower odds of having sufficient sleep (≥8 h) than those not meeting the recommendation (OR = 0.50, 95% CI: 0.26, 0.94). Respondents who met the screen time recommendation (≤2 h/day) had 55% lower odds of reporting poor sleep quality than those whose screen time exceeded the recommendation (OR = 0.45, 95% CI: 0.22, 0.91), with similar patterns observed for females and males. However, males who met both PA and screen time recommendations had 73% lower odds of reporting poor sleep quality than males who met neither recommendation (OR = 0.27, 95% CI: 0.07, 0.99). In conclusion, PA and screen time are associated with sleep quantity or sleep quality in adolescents, and there are differences in these associations by sex.

scholarly journals Associations between sleep quality and its domains and insufficient physical activity in a large sample of Croatian young adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021902 ◽  
Author(s):  
Lovro Štefan ◽  
Goran Sporiš ◽  
Tomislav Krističević ◽  
Damir Knjaz
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Smoking Status ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Insufficient Physical Activity

ObjectivesThe main purpose of the present study was to explore the associations between sleep quality and insufficient physical activity.DesignCross-sectional.SettingFaculties in Croatia.Participants2100 university students (1049 men and 1051 women) aged 18–24 years were recruited.Primary outcomeTo assess the domains of sleep quality (independent variables) and ‘insufficient’ physical activity (dependent variable), we used previously validated Pittsburgh Sleep Quality Index and International Physical Activity questionnaires. Logistic regressions were used to calculate the associations between the sleep quality and ‘insufficient’ physical activity.ResultsWhen sleep quality domains were entered separately into the model, very bad subjective sleep quality (OR 3.09; 95% CI 1.50 to 6.56), >60 min of sleep latency (OR 2.17; 95% CI 1.39 to 3.39), <7 hours of sleep (OR 1.56; 95% CI 1.24 to 1.96), <65% of habitual sleep efficiency (OR 2.26; 95% CI 1.26 to 4.05), sleep disturbances >1/week (OR 1.61; 95% CI 1.03 to 2.52), use of sleep medication >1/week (OR 3.35; 95% CI 1.83 to 6.10), very big daytime dysfunction problem (OR 2.78; 95% CI 1.57 to 4.93) and poor sleep quality (1.53; 95% CI 1.23 to 1.91) were associated with ‘insufficient’ physical activity. When all sleep quality domains were entered simultaneously into the model, the same significant associations remained, except for sleep disturbances. Both models were adjusted for gender, body mass index, self-rated health, life satisfaction, socioeconomic status, presence or absence of chronic diseases, smoking status, binge drinking and psychological distress.ConclusionsOur results show that ‘poor’ sleep quality is associated with ‘insufficient’ physical activity in young adults. In order to improve, special strategies and policies that leverage ‘good sleep’ quality are warranted.

scholarly journals Depressive symptoms, sleep patterns, and physical activity in adolescents with narcolepsy

SLEEP ◽  
2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Arpita Parmar ◽  
E Ann Yeh ◽  
Daphne J Korczak ◽  
Shelly K Weiss ◽  
Zihang Lu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Tertiary Care ◽  
Care Facility ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Tertiary Care Facility

AbstractStudy ObjectivesTo evaluate the association between depressive symptoms, sleep patterns (duration and quality), excessive daytime sleepiness (EDS), and physical activity (PA) in adolescents with narcolepsy.MethodsThis cross-sectional study included adolescents (ages 10–18 years) with narcolepsy attending a tertiary care facility (The Hospital for Sick Children, Toronto, Canada). Adolescents with narcolepsy completed questionnaires evaluating depressive symptoms (Children’s Depression Inventory-2nd edition [CDI-2]), sleep quality (Pittsburgh Sleep Quality Index), EDS (Epworth Sleepiness Scale), and PA (Godin Leisure-Time Exercise Questionnaire). Wrist-based actigraphy was worn by adolescents for 1 week to measure total sleep time (over 24 hr) and sleep efficiency percentage.ResultsThirty adolescents with narcolepsy (mean age = 13.8 ± 2.2 years, 76.7% male) participated. In this cohort of adolescents with narcolepsy, 23.3% had CDI-2 total scores in the elevated range. Greater CDI-2 total scores were associated with poor sleep quality (ρ = 0.571; p = 0.02), EDS (ρ = 0.360; p = 0.05), and lower self-reported PA levels (ρ = −0.512; p < 0.01).ConclusionsAdolescents with narcolepsy report experiencing depressive symptoms, which are associated with poor sleep quality, EDS, and low PA levels. Strategies to improve nocturnal sleep quality and symptoms of EDS as well as promoting increased PA levels in adolescents with narcolepsy may provide an opportunity to improve depressive symptoms in this population. Multidisciplinary care with mental health and sleep specialists for adolescents with narcolepsy is needed.

Abstract P109: The Cross-sectional and Longitudinal Association of Dispositional Optimism with Sleep Duration and Quality: Findings form the Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rosalba Hernandez ◽  
Thanh-Huyen T Vu ◽  
Kiarri N Kershaw ◽  
Mercedes Carnethon ◽  
Kristen L Knutson ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Lower Odds ◽  
Short Sleep ◽  
Long Sleep

Background: Sleep disturbance is associated with multiple adverse cardiovascular-related health outcomes. Little is known about the relationship between psychological well-being, an independent modifiable risk factor for cardiovascular disease, and sleep disruptions. This study examines cross-sectional and longitudinal associations of optimism with sleep duration and quality. Methods: Data were collected from 3,549 Black and White adults aged 33-45 years who participated in the Coronary Artery Risk Development in Young Adults (CARDIA) study during follow-up years 15 (2000-2001) and 20 (2005-2006). Optimism was assessed in 2000-2001 using the Life-Orientation Test—Revised, with possible scores ranging from 6 (least optimistic) to 30 (most optimistic). Single-item questions on sleep quality and duration in the past month were assessed during 2000-2001 and 2005-2006. Cross-sectional analyses considered optimism and sleep measures at follow-up year 15. Longitudinal analyses considered 5-year incidence of poor sleep quality (fairly/very bad) and duration (short/long sleep) in 2005-2006 by optimism in 2000-2001 (participants with poor sleep quality and duration in 2000-2001 were excluded). Results: Among 3,549 participants (56% female, 46% Black) with complete data on optimism in 2000-2001, 15.9% reported fairly/very bad sleep quality. Sleep duration was distributed as follows: short-sleep (47.9%), sufficient sleep (31.6%), and long-sleep (20.5%). In unadjusted and fully adjusted models, a 1-unit higher optimism score was cross-sectionally associated with 11% lower odds of having fairly/very bad sleep quality and 3-5% lower odds of having short-sleep duration (Table 1). Cross-sectional associations were attenuated after adjustment for depressive symptoms (not shown). Incidence of poor sleep quality in 2005-2006 was 7% lower with each unit higher optimism score, after full adjustment. Conclusion: Optimism is associated with lower incidence of poor self-reported sleep quality over a 5-year period.

Sleep Quality and Associated Factors in Older Turkish Adults With Hypertension: A Pilot Study

2015 ◽  
Vol 28 (3) ◽  
pp. 296-305 ◽  
Author(s):  
Belgüzar Kara ◽  
Elif Gökçe Tenekeci
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Personal Information ◽  
Female Gender ◽  
Well Being ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Effective Interventions

Purpose: The purpose of this study was to evaluate sleep quality and to explore its associations with participant characteristics, anemia, excessive daytime sleepiness, and physical activity in older Turkish adults with hypertension. Method: This cross-sectional study included 128 adults aged 60 years or older with hypertension. Data were collected by using a personal information form, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, and the International Physical Activity Questionnaire. Anemia was assessed by hemoglobin levels. Results: Eighty-one patients (63.3%) reported poor sleep quality. Anemia was present in 35.2% of the patients (defined as hemoglobin <13 g/dL for males and <12 g/dL for females). Female gender, the presence of anemia, and low levels of physical activity were associated with poor sleep quality. Conclusion/Implication: The majority of the participants had poor sleep quality. Better understanding of risk factors associated with poor sleep quality may contribute to more effective interventions to improve health and well-being.

scholarly journals Association between Physical Frailty and Sleep Quality among Saudi Older Adults: A Community-Based, Cross-Sectional Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12741
Author(s):  
Bader A. Alqahtani
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Community Based ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Frailty Status

(1) Background: Prevalence of poor sleep quality and its association with frailty status among the aging population of Saudi Arabia has not been studied. Therefore, the main objective of the current study was to estimate the prevalence of poor sleep quality and investigate the association between poor sleep quality and frailty in Saudi older adults; (2) Methods: A total of 270 (mean age 69.9 ± 6.2) older adults from the Riyadh region were involved in the study. To measure sleep quality, the Arabic version of the Pittsburgh Sleep Quality Index (PSQI) was used. The Fried’s frailty index was utilized to assess frailty. Using multiple logistic regression models, the association between sleep quality and frailty status was evaluated using the Odds Ratio and confidence intervals (CI 95%); (3) Results: The pre-frailty and frailty status were prevalent among older adults who had poor sleep quality, 37% and 37.6% (p < 0.001), retrospectively. Poor sleep quality (PSQI > 5) was independently associated with both frailty (OR = 2.13) and prefrailty groups (OR = 1.67); (4) Conclusions: our study demonstrated a significant association between frailty and poor sleep quality. However, a longitudinal future study needs to be established to confirm this association and establish the causality relationship.

scholarly journals The Relationship Between Sleep Characteristics and Unmet Physical Activity Need in Older Women

2018 ◽  
Vol 32 (3-4) ◽  
pp. 199-207 ◽  
Author(s):  
Lotta Palmberg ◽  
Anne Viljanen ◽  
Taina Rantanen ◽  
Jaakko Kaprio ◽  
Merja Rantakokko
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older Women ◽  
Poor Sleep ◽  
Third Wave ◽  
Regression Analyses ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Physically Active ◽  
The Relationship

Objective: We examined among older women the association of sleep quality, daytime tiredness, and sleep duration with unmet physical activity need, that is, wishing to be more physically active but perceiving no opportunity for it. Method: Cross-sectional logistic regression analyses among women aged 74 to 86 years (Finnish Twin Study on Aging, third wave, n = 302). Results: Thirty-one participants reported unmet physical activity need. Short sleepers had fivefold and long sleepers threefold odds for unmet physical activity need compared with normative sleepers, while for daytime tiredness the odds were double. Presence of daytime tiredness and unmet physical activity coincided with higher prevalence of chronic diseases, depressive symptoms and walking difficulties, which partly explains the observed associations. Poor sleep quality was not associated with unmet physical activity need. Discussion: Older women with nonoptimal sleep characteristics who perceive unmet physical activity need may benefit from solutions that improve their perceived opportunities for physical activity.

scholarly journals Higher amounts of sedentary time are associated with short sleep duration and poor sleep quality in postmenopausal women

SLEEP ◽  
2019 ◽  
Vol 42 (7) ◽  
Author(s):  
Seth A Creasy ◽  
Tracy E Crane ◽  
David O Garcia ◽  
Cynthia A Thomson ◽  
Lindsay N Kohler ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Postmenopausal Women ◽  
Sedentary Time ◽  
Moderate Intensity ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Lower Odds ◽  
Short Sleep ◽  
Insomnia Symptoms

Abstract Study Objectives To evaluate the associations between sedentary time, total (total-PA), light (light-PA), moderate (MOD-PA), and vigorous (VIG-PA) physical activity with indices of sleep in postmenopausal women. Methods Baseline self-reported data from the Women’s Health Initiative Observational Study (n = 75 074) were used in this cross-sectional analysis. Total-PA, light-PA, MOD-PA, and VIG-PA were categorized by metabolic equivalents of the activity (MET-hour [hr]/week [wk]) and were estimated using validated questionnaires. Sedentary time was categorized by hr/day and was estimated via questionnaire. Logistic regression was used to examine the associations between these variables and short sleep (≤6 hr/night), long sleep (≥10 hr/night), poor sleep quality, and insomnia symptoms after adjustment for age, race, socioeconomic status, body mass index, health status, depressive symptoms, smoking status, alcohol use, hormone therapy, and comorbidities. Results Higher sedentary time (>11 hr/day) was associated with higher odds of short sleep (odds ratio [OR] = 1.80, 95% confidence interval [CI]: 1.72–1.88), poor sleep quality (OR = 1.85, 95% CI: 1.74–1.97), and insomnia symptoms (OR = 1.56, 95% CI: 1.49–1.64). Light-PA (>0 MET-hr/wk) was associated with lower odds of short sleep (OR = 0.96, 95% CI: 0.92–1.00), and higher amounts of total-PA (OR = 0.90, 95% CI: 0.84–0.97), light-PA (OR = 0.94, 95% CI: 0.89–1.00), and MOD-PA (OR = 0.91, 95% CI: 0.86–0.97) were associated with lower odds of poor sleep quality. Conclusions Our findings suggest that higher levels of light and moderate intensity physical activity are associated with better sleep quality, whereas higher amounts of sedentary time are associated with short sleep and lower quality sleep. Future studies should investigate the directionality of these associations and potential causal pathways.

scholarly journals Child and parent physical activity, sleep and screen time during COVID-19 compared to pre-pandemic nationally representative data and associations with mental health

2020 ◽  
Author(s):  
Lisa Olive ◽  
Emma Sciberras ◽  
Tomer S Berkowitz ◽  
Erin Hoare ◽  
Rohan.Telford ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Sleep Quality ◽  
Screen Time ◽  
Sleep Problems ◽  
Self Report ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Parents And Children ◽  
Nationally Representative

Objective: To investigate differences in movement behaviors (physical activity, sleep, screen time) in both parents and children during the early stages of COVID-19 pandemic in Australia, compared to pre-COVID-19 national data; and, estimate associations between these movement behaviors with parent and child mental health. Methods: We used cross-sectional baseline data from the COVID-19 Pandemic Adjustment Study (CPAS; N=2,365). Participants were parents of children aged ≤18 years, residing in Australia. We drew on nationally representative pre-COVID data from the Longitudinal Study of Australian Children (LSAC; N=9,438). In both studies, parents provided the same self-report measures of physical activity, sleep quality, as well as measures of child physical activity and screen time. Parents reported on their own and their child’s mental health. Results: Compared to LSAC, children in CPAS had more sleep problems (17.4% vs 8.9%, p&lt;.001) and more weekend screen time (3.98 hours vs 3.35 hours, p&lt;.001), while more parents had poor sleep quality (56.7% vs 21.0%, p&lt;.001) despite increased weekly physical activity (3.86 days vs 2.85 days, p&lt;.001). Children’s sleep problems were associated with increased depression, anxiety and irritability symptoms, after accounting for physical activity and screen time (all p&lt;.001). Poorer parent sleep quality and lower levels of physical activity were associated with poorer mental health across all indicators (all p≤.001).Conclusion: Government funded mental health programs to implement evidence-based sleep interventions for children and their parents, along with targeted messaging around physical activity should be considered to promote mental health within the family context during lockdown restrictions.

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.

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