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 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.

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)

Combined Associations of Sitting Time and Physical Activity With Obesity in Young Adults

2014 ◽  
Vol 11 (1) ◽  
pp. 136-144 ◽  
Author(s):  
Verity Cleland ◽  
Michael Schmidt ◽  
Jo Salmon ◽  
Terry Dywer ◽  
Alison Venn
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Waist Circumference ◽  
Sedentary Behavior ◽  
Reference Group ◽  
Sitting Time ◽  
Step Counts ◽  
Objectively Measured ◽  
Low Activity

Background:We investigated associations of total sedentary behavior (SB) and objectively-measured and self-reported physical activity (PA) with obesity.Methods:Data from 1662 adults (26–36 years) included daily steps, self-reported PA, sitting, and waist circumference. SB and PA were dichotomized at the median, then 2 variables created (SB/self-reported PA; SB/objectively-measured PA) each with 4 categories: low SB/high PA (reference group), high SB/high PA, low SB/low PA, high SB/low PA.Results:Overall, high SB/low PA was associated with 95 –168% increased obesity odds. Associations were stronger and more consistent for steps than self-reported PA for men (OR 2.68, 95% CI 1.36–5.32 and OR 1.95, 95% CI 1.01–3.79, respectively) and women (OR 2.66, 95% CI 1.58–4.49 and OR 2.00, 95% CI 1.21–3.31, respectively). Among men, obesity was higher when daily steps were low, irrespective of sitting (low SB/low steps OR 2.07, 95% CI 1.03–4.17; high SB/low steps OR 2.68, 95% CI 1.36–5.32).Conclusions:High sitting and low activity increased obesity odds among adults. Irrespective of sitting, men with low step counts had increased odds of obesity. The findings highlight the importance of engaging in physical activity and limiting sitting.

scholarly journals Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior

2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Low Income ◽  
Multivariate Regression ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Mother And Child ◽  
Low Income Mothers ◽  
Objectively Measured ◽  
The Relationship

Purpose: The authors examined the relationship between mother and child activity. Methods: The authors compared moderate–vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother–child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. Results: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6–7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8–10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8–10 (rs = .23), aged 11–12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = −.21), children aged 8–10 (rs = −.30), aged 11–12 (rs = −.34), daughters (rs = −.26), and sons (rs = −.22). In multivariate regression, significant associations were identified between reported child–mother PA time together and child MVPA and sedentary time (accelerometry). Conclusions: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6–7 and daughters. Mother–child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

Abstract P463: Objectively Measured Moderate-to-Vigorous Physical Activity is Associated With Decreased Myosteatosis in African Caribbean Adults

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Iva Miljkovic ◽  
Allison Kuipers ◽  
Ryan Cvejkus ◽  
Victor Wheeler ◽  
Joseph Zmuda
Keyword(s):  
Physical Activity ◽  
Skeletal Muscle ◽  
Sedentary Behavior ◽  
Metabolic Diseases ◽  
Vigorous Physical Activity ◽  
Middle Aged ◽  
Fat Infiltration ◽  
Muscle Attenuation ◽  
Muscle Fat Infiltration ◽  
Objectively Measured

Increased skeletal muscle fat infiltration (i.e. myosteatosis) is now recognized as a major risk factor for cardio-metabolic diseases. Therefore, a lifestyle modification that reduces myosteatosis would be of great public health importance. However, studies examining the association of relevant lifestyle factors with this ectopic fat depot are lacking, particularly in African ancestry populations who have a very high burden of cardio-metabolic diseases. The aim of this study was to examine the relation between objectively measured physical activity and sedentary behavior with computed tomography measured calf muscle attenuation among middle-aged and elderly African-Caribbeans from the population-based Tobago Health Study. Preliminary analyses were conducted among 134 women (mean age 59 yrs, mean BMI 31.6 kg/m 2 ) and 355 men (mean age 62 yrs, mean BMI 28 kg/m 2 ). Physical activity was measured using the SenseWear Pro armband worn for 4-7 days. We calculated the mean duration of waking time engaged in light physical activity (LPA), moderate to vigorous activity (MVPA), and sedentary behavior (SB) per day. Skeletal muscle attenuation (mg/cm 3 ) reflects the fat content of the muscle such that greater skeletal muscle fat infiltration is reflected by lower attenuation. Women spent less time in LPA (146 vs. 270 min/day) and MVPA (15 vs. 41 min/day), but more time in SB (789 vs. 647 min/day) than men (all p<0.0001) after adjustments for gender differences in age. Muscle attenuation was lower among women compared with men (70.5 vs. 72.7 mg/cm3; age and BMI adjusted p<0.0001). In both women and men, muscle attenuation was positively correlated with the LPA and MVPA, and inversely with time spent in SB (spearman correlation coefficients (r) ranged from 0.21 to 0.39, all p<0.006 adjusted for age). Upon additional adjustment for BMI, in both women and men, the association of muscle attenuation with MVPA remained significant (r=0.21 and r=0.18, respectively, both p<0.03), but there was no association with LPA. Percent time spent in SB was associated with muscle attenuation only among women after additional adjustment for BMI (women: -0.16, p=0.052), and we also found a significant sex interaction effect of SB on muscle attenuation (p=0.035). Our preliminary findings suggest that there is significant association between MVPA and myosteatosis among middle-aged and elderly African Caribbeans. However, SB may only be relevant for myosteatosis among women. Future analyses will be conducted in a larger sample from this cohort to confirm our findings and to test for independence from other potential confounding factors, such as diet, sleep patterns, adiposity distribution, and diabetes.

Effect of Elimination Games on Physical Activity and Psychosocial Responses in Children

2010 ◽  
Vol 7 (4) ◽  
pp. 475-483 ◽  
Author(s):  
Karla E. Foster ◽  
Timothy K. Behrens ◽  
Abigail L. Jager ◽  
David A. Dzewaltowski
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Peer Victimization ◽  
Self Efficacy ◽  
Vigorous Physical Activity ◽  
Preliminary Evidence ◽  
Before And After ◽  
Psychosocial Responses ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Background:This study evaluated the effect of elimination and nonelimination games on objectively measured physical activity and psychosocial responses in children.Methods:A total of 29 children in grades 4 to 6 (65.5% male; 10.5 ± 1.0 years old) wore an accelerometer while participating in 2 elimination and 2 nonelimination games. Activity counts were collected using a 30-second epoch and converted to METs to determine minutes spent in sedentary behavior and light, moderate, vigorous, and moderate-to-vigorous physical activity. Self-efficacy, enjoyment, and peer-victimization were assessed on 4 occasions (before and after 2 elimination and 2 nonelimination games).Results:Overall, girls spent more time in sedentary behavior compared with boys. Children engaged in significantly more moderate-to-vigorous physical activity during nonelimination games compared with elimination games. Furthermore, children significantly increased self-efficacy after playing both game sessions. A significant interaction between type of game and time of measurement in the prediction of enjoyment showed that enjoyment modestly increased after elimination games and slightly decreased after nonelimination games. There were no differences in peer-victimization.Conclusion:This study provides preliminary evidence that nonelimination games provide more moderate-to-vigorous physical activity compared with elimination games, but elimination games may be more enjoyable.

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 Objectively Measured Physical Activity, Sedentary Behavior, and Incident Fracture in Older Women: The OPACH Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 168-169
Author(s):  
Steve Nguyen ◽  
John Bellettiere ◽  
Michael LaMonte ◽  
Carolyn Crandall ◽  
Andrea LaCroix
Keyword(s):  
Physical Activity ◽  
Fracture Risk ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Osteoporotic Fractures ◽  
Cox Models ◽  
Increase Fracture Risk ◽  
Clinical Fractures ◽  
Race Ethnicity ◽  
Objectively Measured

Abstract Women aged 65 and older experience nearly three-fourths of the 2 million osteoporotic fractures annually in the US, yet whether accelerometer-measured volumes and intensities of physical activity and sedentary behavior (SB) are associated with reduced fracture risk is understudied. We investigated associations of accelerometer-measured light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sedentary time (ST), and mean sedentary bout duration (MBD) with incident clinical fractures (hip, vertebral, pelvis, lower leg, upper arm, forearm, and wrist) in the WHI OPACH cohort. Participants (N=6248; mean±SD age=78.6±6.7; 34% Black, 17% Hispanic) without prior hip fracture wore the ActiGraph GT3X+ for 7 days between May 2012-April 2014 and were followed through March 2020 for incident clinical fracture (N=711). Cox models estimated hazard ratios (HR) and 95% confidence intervals (CI), adjusting for age, race-ethnicity, education, alcohol, smoking, height, weight, falls history, RAND-36 physical function, diabetes, thiazide use, prescription osteoporotic therapy, and age at menopause. The HR(95% CI) across MVPA quartiles was 1.00(reference), 1.15(0.93-1.41), 0.90(0.72-1.13), and 0.79(0.61-1.02); p-trend=0.01. The HR(95% CI) for a one-interquartile range increment in MVPA (42 minutes/day) was 0.86(0.76-0.97). Associations were modified by prescription osteoporotic therapy [no: HR=0.77(0.66-0.89), yes: HR=1.03(0.85-1.25); p-interaction=0.01] and varied in magnitude by age[&lt;80: HR=0.78(0.64-0.96), ≥80: HR=0.92(0.79-1.07); p-interaction=0.09], BMI [&lt;30 kg/m2: HR=0.85(0.75-0.97), ≥30 kg/m2: HR=0.90(0.67-1.19); p-interaction=0.08], and race-ethnicity [Black: HR =0.63(0.44-0.89), Hispanic: HR =0.78(0.56-1.09), White: HR =0.92(0.80-1.06); p-interaction=0.16]. LPA, ST, or MBD were not associated with incident fractures. These data suggest that MVPA may reduce and not increase fracture risk and that LPA and SB do not increase fracture risk.

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