scholarly journals Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study

2020 ◽  
Vol 17 (10) ◽  
pp. 3499 ◽  
Author(s):  
Moisés Grimaldi-Puyana ◽  
José María Fernández-Batanero ◽  
Curtis Fennell ◽  
Borja Sañudo
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Mood State ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Smartphone Use ◽  
Low Levels ◽  
Objectively Measured

This study assesses the associations of objectively-measured smartphone time with physical activity, sedentary behavior, mood, and sleep patterns among young adults by collecting real-time data of the smartphone screen-state. The sample consisted of 306 college-aged students (mean age ± SD: 20.7 ± 1.4 years; 60% males). Over seven days of time, the following variables were measured in the participants: objectively-measured smartphone use (Your Hour and Screen Time applications), objective and subjective physical activity (GoogleFit and Apple Health applications, and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), mood (The Profile of Mood State (POMS)), and sleep (The Pittsburgh Sleep Quality Index (PSQI)). Multiple regressions analyses showed that the number of hours sitting per day, physical activity, and the POMS Global Score significantly predicted smartphone use (adj.R2 = 0.15). Further, participants with low levels of physical activity were more likely to increase the use of smartphones (OR = 2.981). Moreover, mood state (β = 0.185; 95% CI = 0.05, 0.32) and sleep quality (β = 0.076; 95% CI = −0.06, 0.21) predicted smartphone use, with those reporting poor quality of sleep (PSQI index >5) being more likely to use the smartphone (OR = 2.679). In conclusion, there is an association between objectively-measured smartphone use and physical activity, sedentary behavior, mood, and sleep patterns. Those participants with low levels of physical activity, high levels of sedentary behavior, poor mood state, and poor sleep quality were more likely to spend more time using their smartphones.

scholarly journals Objectively-Assessed Physical Activity, Sedentary Behavior, Smartphone Use, and Sleep Patterns Pre- and during-COVID-19 Quarantine in Young Adults from Spain

2020 ◽  
Vol 12 (15) ◽  
pp. 5890 ◽  
Author(s):  
Borja Sañudo ◽  
Curtis Fennell ◽  
Antonio J. Sánchez-Oliver
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Sitting Time ◽  
Sleep Patterns ◽  
Lifestyle Modifications ◽  
Smartphone Use ◽  
Objectively Measured

This study assessed the effects of COVID-19 home confinement on physical activity, sedentary behavior, smartphone use, and sleep patterns. Data was collected in a sample of 20 young adults (mean age ± SD: 22.6 ± 3.4 years; 55% males) over seven days pre- and during the COVID-19 lockdown. Objective and subjective physical activity (Accelerometer and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), objectively-measured smartphone use (smartphone screen time applications), and objective and subjective sleep (accelerometer and the Pittsburgh Sleep Quality Index, respectively) were assessed. Results revealed significantly greater walking time and mean steps (p < 0.001, d = 1.223 to 1.605), and moderate and vigorous physical activity (p < 0.05, d = 0.568 to 0.616), in the pre- compared with the during-COVID-19 lockdown phase. Additionally, smartphone use (p = 0.009, d = 0.654), sitting time (p = 0.002, d = 1.120), and total sleep (p < 0.004, d = 0.666) were significantly greater in the during- compared with the pre-COVID-19 lockdown phase. Multiple regressions analyses showed associations between physical activity and sedentary behavior and sleep quality. The number of hours sitting per day and moderate-to-vigorous physical activity significantly predicted deep sleep (adj.R2 = 0.46). In conclusion, this study revealed that during the COVID-19 outbreak, behaviors changed, with participants spending less time engaging in physical activity, sitting more, spending more time using the smartphone, and sleeping more hours. These findings may be of importance to make recommendations, including lifestyle modifications during this time.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals Objectively-Measured Smartphone Usage, Sleep Quality, and Physical Activity Among Chinese Adolescents and Young Adults

2020 ◽  
Author(s):  
Paul H Lee ◽  
Andy C. Y. Tse ◽  
Cynthia S. T. Wu ◽  
Yim Wah Mak ◽  
Uichin Lee
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Secondary School ◽  
Sleep Quality ◽  
Secondary School Students ◽  
Adolescents And Young Adults ◽  
School Students ◽  
Sleeping Time ◽  
Hong Kong Adolescents ◽  
Objectively Measured

Abstract Objectives: We studied the association between objectively-measured smartphone usage and objectively-measured sleep quality and physical activity for seven consecutive days among Hong Kong adolescents and young adults aged 11–25 (n = 357, 67% female).Methods: We installed an app that tracked the subjects’ smartphone usage and had them wear an ActiGraph GT3X accelerometer on their wrist to measure their sleep quality and physical activity level. Smartphone usage data were successfully obtained from 187 participants (52.4%).Results: The participants on average spent 2 hours 46 minutes per day on their smartphone. Multilevel regression showed that, among secondary school students, one minute of daytime smartphone usage was associated with 0.12 minute decrease in total sleeping time that night (p = 0.042, 95% CI: -0.23, -0.007). One minute of bedtime smartphone usage was associated with 0.32 minute increase in wake after sleep onset that night (p = 0.04, 95% CI: 0.02, 0.62). One minute of smartphone usage during sleep was associated with sleep efficiency (β = 0.013%, p = 0.01, 95% CI: 0.003%, 0.023%) and WASO (β=-0.05, p = 0.04, 95% CI: -0.10, -0.005). One minute of daytime smartphone usage was associated with 7.15 steps increase in the number of steps (p = 0.02, 95% CI: 1.02, 13.28) among secondary school students and 3.52 steps increase in the number of steps (p = 0.03, 95% CI: 0.37, 6.66) among university students on the next day.Conclusion: Time spent on smartphone was associated with total sleeping time, the number of steps, and MVPA among Hong Kong adolescents and young adults.

scholarly journals Lifestyle behaviors trend and their relationship with fear level of COVID-19: Cross-sectional study in Saudi Arabia

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257904
Author(s):  
Shaima A. Alothman ◽  
Abdullah F. Alghannam ◽  
Alaa A. Almasud ◽  
Arwa S. Altalhi ◽  
Hazzaa M. Al-Hazzaa
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Saudi Arabia ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Dietary Habits ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Distress Scale

Introduction COVID-19 pandemic cautionary measures have affected the daily life of people around the globe. Further, understanding the complete lifestyle behaviors profile can help healthcare providers in designing effective interventions and assessing overall health impact on risk of disease development. Thus, this study aims to assess the complete spectrum of lifestyle behaviors (physical activity, sedentary behavior, sleep, distress, social support, dietary habits, and smoking) prevalence and its association with fear of COVID-19 in people living in Saudi Arabia. Methods Self-administered survey consisted of seven sections was used to collect data on fear of COVID-19 using Fear of COVID-19 Scale (FCV-19S), physical activity and sedentary behavior using the Global Physical Activity Questionnaire (GPAQ), sleep quality using the Pittsburgh Sleep Quality Index (PSQI), psychosocial distress using Kessler Psychological Distress Scale (K-10), social support using the MOS social support survey, and dietary habits using a short version of food frequency questionnaire (FFQ). The online survey was distributed via social media platforms during lockdown period of COVID-19 pandemic (May–June 2020). Each section consisted of validated questionnaire examining one of aforementioned lifestyle behaviors. Associations were analyzed using multiple linear regression. Results A total of 669 individuals attempted to complete the online survey, 554 participants completed at least 2 sections of the survey (82.8%), and 41.3% (n = 276) completed the whole online survey. The majority of the sample were female (83%), not smokers (86.5%), had sufficient sleep duration (7.5 hrs ± 2.1), and only indicated mild level of distress (21.4 ± 8.9); they also reported high level of sedentary behavior (7.7 hrs ± 4.5), poor sleep quality (5.4 ± 2.4), were not engaged in healthy eating habits, and moderate level of perceived social support (62.0% ± 27). Only physical activity results indicated that about half of the sample were engaged in moderate to vigorous level of physical activity (54.3%). Further, being female (β = 0.12; 95% CI: 0.45, 2.94) and married (β = 0.13; 95% CI: 0.3, 2.63) were associated with fear of COVID-19 level (β = 0.21; 95% IC: 0.05, 0.19) with a confidence interval level of 95%. In addition, distress was associated with fear. Conclusion The trend of lifestyle behaviors measured during lockdown period changed from previously published rates. Future research needs to establish the short-term and long-term effect of lifestyle behaviors complete profile on physical and mental health.

Impact of the COVID-19 pandemic on objectively measured physical activity and sedentary behavior among overweight young adults: A year-long longitudinal analysis (Preprint)

2021 ◽  
Author(s):  
Victoria Costello ◽  
Guillaume Chevance ◽  
David Wing ◽  
Shadia J, Assi ◽  
Sydney Sharp ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Daily Living ◽  
Structural Changes ◽  
Vigorous Physical Activity ◽  
Mitigation Strategies ◽  
Steps Per Day ◽  
Objectively Measured ◽  
The Impact

BACKGROUND The COVID-19 pandemic impacted multiple aspects of daily living, including behaviors associated with occupation, transportation, and health. It is unclear how these changes to daily living impacted physical activity and sedentary behavior. OBJECTIVE To examine the impact of the COVID-19 mitigation strategies on physical activity and sedentary behavior among young adults enrolled in an ongoing weight loss trial using longitudinal data acquired from wrist-worn activity monitors over the course of 1 year in San Diego, CA. METHODS Date were collected in 315 participants between 11/01/2019 and 10/30/2020 using the Fitbit Charge 3. After strict filtering for valid consistent wear (more than 10 hours per day for 250+ days), data from 97 participants were analyzed to detect multiple structural changes in time series of physical activity and sedentary behavior. RESULTS After initiation of the shelter-in-place order in CA on 03/19/2021, there were significant decreases in step counts (-2872 steps per day, 95% CI [-2734; -3010]), light physical activity (-41·9 minutes, 95% CI [39·5, 44·3]), and moderate-to-vigorous physical activity (-12·2 minutes, 95% CI [10·6, 13·8]), as well as significant increases in sedentary behavior (+52·8 minutes, 95% CI [47.0, 58.5]). Decreases were greater than expected declines observed during winter holidays, and as of 10/30/2020, they had not returned to levels observed prior to shelter-in-place orders. CONCLUSIONS In young adults, physical activity decreased and sedentary behavior increased concurrent with COVID-19 mitigation strategies. Health conditions associated with sedentary lifestyle may be additional unintended costs of the COVID-19 pandemic. CLINICALTRIAL NIH 5R01HL136769-03)

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.

297 The Relationship Between Sleep and Objectively Measured Sedentary Behavior in Adults with Desk Jobs

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A118-A119
Author(s):  
Mara Egeler ◽  
Andrew Kubala ◽  
Subashan Perera ◽  
Sanjay Patel ◽  
Martica Hall ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Sleep Efficiency ◽  
Poor Sleep ◽  
Global Score ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Sit To Stand ◽  
Objectively Measured

Abstract Introduction Both poor sleep and sedentary behavior lead to negative health outcomes. While some previous studies have observed an association between poor sleep and greater sedentary behavior, few studies have assessed this relationship using an objective measure of sedentary behavior. We examined the association of both self-reported and objectively-measured sleep with objectively-measured sedentary behavior. Methods In a secondary analysis of baseline data from an ongoing clinical trial, the present analysis included 157 physically inactive adults with elevated blood pressure (120–159 mmHg systolic or 90–99 diastolic) and desk jobs (82.8% white, 65.6% female, age 45.5±12.0). To assess sedentary behavior, participants wore an accelerometer/inclinometer (activPAL3 micro) on the upper thigh continuously for 7 days. Variables included total sedentary time, prolonged sedentary time (≥30 minute bouts), and sit-to-stand transitions; these were averaged across all waking hours as well as the workday. To assess sleep, participants completed the Pittsburgh Sleep Quality Index (PSQI) and a subsample (n=57) wore an Actiwatch Spectrum for 7 nights. Variables examined included the PSQI global score, actigraphy-based total sleep time (TST) and sleep efficiency (SE). Linear regression examined associations between sleep and sedentary behavior, with adjustments for age, gender, race, body mass index, and activPAL3 wear time. Results Participants had (mean±standard deviation) 11.1±1.5 hours sedentary time per day, with 6.3±2.0 occurring in ≥30 minute bouts, and 51.3±13.4 sit-to-stand transitions. During the workday, participants had 6.6±1.3 hours sedentary time with 3.8±1.7 occurring in ≥30 minute bouts and 27.2±11.2 sit-to-stand transitions. PSQI global score was 4.9±2.9; 32.5% were classified as poor sleepers. Actigraphic TST was 6.7±0.8 hours, with SE of 85.4±6.3%.Greater SE was associated with less sit-to-stand transitions during the workday (β=-0.36, p=0.01) and during the full day (β=-0.37, p=0.01). Subjective sleep quality and actigraphic TST were not associated with sedentary behavior. Conclusion We did not find a cross-sectional association between sedentary behavior and sleep in insufficiently active adults, potentially due to restricted range of sedentary behavior and physical activity in the sample. The association between greater sleep efficiency with fewer sit-to-stand transitions is counterintuitive and warrants further exploration. Support (if any) This study was funded by National Institutes of Health (NIH) grants R01HL134809 and R01HL147610.

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.

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