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 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.

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 Are Older Adults without a Healthy Diet Less Physically Active and More Sedentary?

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1119 ◽  
Author(s):  
Ming-Chun Hsueh ◽  
Ru Rutherford ◽  
Yi-Hsuan Huang ◽  
Hung-Yu Chang Chien ◽  
Chia-Hui Chang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Healthy Diet ◽  
Sitting Time ◽  
Time Duration ◽  
Sedentary Breaks ◽  
Sedentary Bouts ◽  
Objectively Measured

Few studies on older populations consider several energy balance-related behaviors together. This cross-sectional study compared subjectively and objectively measured physical activity (PA) and sedentary behavior (SB) patterns between older adults with and without a healthy diet. We recruited 127 community-dwelling older Taiwanese adults (69.9 ± 5.0 years); data were collected during April and September 2018. Objectively measured total PA, moderate-to-vigorous PA, light PA, step count, total sedentary time, duration of sedentary bouts, number of sedentary bouts, and number of sedentary breaks were assessed using activity monitors. Subjectively measured PA and SB were measured using the International Physical Activity Questionnaire and Sedentary Behavior Questionnaire for Older Adults. Chi-square tests and independent sample t-tests were performed. For subjective measures, older adults without a healthy diet spent significantly less total leisure time on PA and more leisure sitting time than those with a healthy diet. For objective measures, older adults without a healthy diet spent less time on light PA and had a higher total sedentary time, duration of sedentary bouts, times of sedentary bouts, and times of sedentary breaks than those with a healthy diet. Regardless of the use of objective or subjective measurements, older adults without a healthy diet engaged in a more inactive and sedentary lifestyle. These findings have implications for health promotion practitioners in designing tailored interventions.

Abstract P248: Objectively Measured Physical Activity and Sedentary Behavior Change During a Lifestyle Intervention in Overweight Adults: Does Season Matter?

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Bonny Rockette-Wagner ◽  
Andrea M Kriska ◽  
Qianheng Ma ◽  
Susan M Sereika ◽  
Christopher C Imes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Lifestyle Intervention ◽  
Disease Risk ◽  
Lifestyle Interventions ◽  
Accelerometer Data ◽  
Wear Time ◽  
Step Counts ◽  
Valid Assessment ◽  
Objectively Measured

Introduction: Lifestyle interventions, with physical activity (PA) as a key component, are important to reducing cardiometabolic disease risk. In our work in both efficacy and effectiveness clinical trials, we have shown that season has a significant impact on subjectively determined moderate-vigorous (MV) PA levels, both at baseline and during the intervention. However, the effect of season in these lifestyle interventions has not yet been examined utilizing objective measurements of PA so that time spent in all PA intensities and sedentary behavior(SB) can be quantified. Hypothesis: Our hypothesis is that PA would increase and SB would decrease due to the intervention but that season would have an additional effect on both. Methods: We enrolled 150 overweight/obese adults (51.1±10.2 y; 79% Caucasian; 91% female) in a 12-month lifestyle intervention for weight loss that provided regular feedback to participants on diet and PA goal achievement. Six cohorts were recruited from 2012-2014. The PA goal was to achieve and maintain 150 minutes/week of MVPA. ActiGraph GT3x accelerometers, worn on the waist, were used to assess average daily step counts and time spent in PA and SB. Accelerometer recordings with 10 hours/day of wear time on ≥4 days were considered a valid assessment of typical PA and SB. Changes in activity variables at 6 months and 12 months were examined using linear mixed models. We also examined the season (winter, spring, summer, or autumn) when the intervention was implemented and if this affected changes in PA and SB. Results: Baseline accelerometer data were valid for 149 participants. Mean (SD) baseline values were 6132 (1873) steps counts/day, 11 (11) MVPA min/day, 245 (64) light intensity (L)PA min/day, 635 (85) SB min/day. Season was significantly related to step counts, LPA, MVPA, and SB with significantly lower PA and higher SB in the winter (p<0.05). Changes in LPA and SB were not significant over the entire follow-up (p>0.05). When adjusted (for monitor wear time/day and season) mean (SD) increases in step counts from baseline were 1128 (208) and 742(209) steps/day at 6 and 12 months, respectively (both p<0.0001). For MVPA adjusted mean (SD) increases from baseline were 7(1) and 6(1) min/day at 6 and 12 months, respectively (both p<0.0001). Conclusions: Relevant improvements in steps counts and MVPA were recorded at 6 and 12 months. This was true even after controlling for the effect of differences in the season of implementation. When considering the effect of lifestyle interventions on activity, future studies should consider the effect of seasonal changes on PA levels.

scholarly journals Objectively Measured Sedentary Time, Physical Activity and Markers of Body Fat in Preschool Children

2013 ◽  
Vol 25 (1) ◽  
pp. 154-163 ◽  
Author(s):  
Vanesa España-Romero ◽  
Jonathan A. Mitchell ◽  
Marsha Dowda ◽  
Jennifer R. O’Neill ◽  
Russell R. Pate
Keyword(s):  
Physical Activity ◽  
Preschool Children ◽  
Waist Circumference ◽  
Quantile Regression ◽  
Sedentary Behavior ◽  
Parental Education ◽  
Vigorous Physical Activity ◽  
Positive Association ◽  
Z Score ◽  
Objectively Measured

The purpose of this study was to examine the associations between sedentary behavior and moderate to vigorous physical activity (MVPA), measured by accelerometry, with body mass index (BMI) and waist circumference in 357 preschool children. Linear mixed models were used adjusting for race/ethnicity, parental education, and preschool. Follow-up analyses were performed using quantile regression. Among boys, MVPA was positively associated with BMI z-score (b = 0.080, p = .04) but not with waist circumference; quantile regression showed that MVPA was positively associated with BMI z-score at the 50th percentile (b = 0.097, p < .05). Among girls, no associations were observed between sedentary behavior and MVPA in relation to mean BMI z-score and mean waist circumference. Quantile regression indicated that, among girls at the 90th waist circumference percentile, a positive association was found with sedentary behavior (b = 0.441, p < .05), and a negative association was observed with MVPA (b = −0.599, p < .05); no associations were found with BMI z-score. In conclusion, MVPA was positively associated with BMI z-score among boys, and MVPA was negatively associated and sedentary behavior was positively associated with waist circumference among girls at the 90th percentile.

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 Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

scholarly journals Physical activity and mental well-being under COVID-19 lockdown: a cross-sectional multination study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Costas I. Karageorghis ◽  
Jonathan M. Bird ◽  
Jasmin C. Hutchinson ◽  
Mark Hamer ◽  
Yvonne N. Delevoye-Turrell ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Electronic Device ◽  
Well Being ◽  
Middle Aged ◽  
Steps Per Day ◽  
Western Nations

Abstract Background COVID-19 lockdowns have reduced opportunities for physical activity (PA) and encouraged more sedentary lifestyles. A concomitant of sedentariness is compromised mental health. We investigated the effects of COVID-19 lockdown on PA, sedentary behavior, and mental health across four Western nations (USA, UK, France, and Australia). Methods An online survey was administered in the second quarter of 2020 (N = 2541). We measured planned and unplanned dimensions of PA using the Brunel Lifestyle Physical Activity Questionnaire and mental health using the 12-item General Health Questionnaire. Steps per day were recorded only from participants who used an electronic device for this purpose, and sedentary behavior was reported in hours per day (sitting and screen time). Results In the USA and Australia samples, there was a significant decline in planned PA from pre- to during lockdown. Among young adults, Australians exhibited the lowest planned PA scores, while in middle-aged groups, the UK recorded the highest. Young adults exhibited the largest reduction in unplanned PA. Across nations, there was a reduction of ~ 2000 steps per day. Large increases in sedentary behavior emerged during lockdown, which were most acute in young adults. Lockdown was associated with a decline in mental health that was more pronounced in women. Conclusions The findings illustrate the deleterious effects of lockdown on PA, sedentary behavior, and mental health across four Western nations. Australian young and lower middle-aged adults appeared to fare particularly badly in terms of planned PA. The reduction in steps per day is equivalent to the non-expenditure of ~ 100 kcal. Declines in mental health show how harmful lockdowns can be for women in particular.

A Longitudinal Study of Objectively Measured Built Environment as Determinant of Physical Activity in Young Adults: The European Youth Heart Study

2015 ◽  
Vol 12 (7) ◽  
pp. 909-914 ◽  
Author(s):  
Jasper Schipperijn ◽  
Mathias Ried-Larsen ◽  
Merete S. Nielsen ◽  
Anneli F. Holdt ◽  
Anders Grøntved ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Longitudinal Study ◽  
Built Environment ◽  
Cross Sectional ◽  
Environmental Indices ◽  
Domain Specific ◽  
Objectively Measured ◽  
European Youth

Background:This longitudinal study aimed to examine if a Movability Index (MI), based on objectively measured built environment characteristics, was a determinant for objectively measured physical activity (PA) among young adults.Methods:Data collected from 177 persons participating in the Danish part of the European Youth Hearth Study (EYHS) was used to examine the effect of the built environment on PA. A MI was developed using objectively measured built environment characteristics, and included residential density, recreational facilities, daily destinations and street connectivity.Results:Results showed a positive cross-sectional association between MI and PA. PA decreased from baseline to follow-up. MI increased, primarily due to participants relocating to larger cities. An increase in MI from baseline to follow-up was associated with a reduced decrease in PA for females.Conclusions:Our findings suggest that the built environment is a determinant for PA, especially for females. The found gender differences might suggest the need to develop gender specific environmental indices in future studies. The validity of the measures can be further improved by creating domain specific PA measures as well as domain specific environmental indices and this can potentially reveal more specific built environment determinants for PA.

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