scholarly journals A 20-Year Follow-Up Study of Objectively Measured Physical Activity

2021 ◽  
Vol 18 (6) ◽  
pp. 3076
Author(s):  
Anders Raustorp ◽  
Andreas Fröberg
Keyword(s):  
Physical Activity ◽  
Early Adolescence ◽  
Total Sample ◽  
Short Time Span ◽  
Steps Per Day ◽  
Objectively Measured ◽  
Short Time ◽  
Objectively Measured Physical Activity

Background: The objectives of this study were to explore the effect of time, long-term tracking, and the proportion of objectively measured physical activity (PA) from early adolescence to the mid-thirties. Methods: PA was measured as mean steps per day (SPD) with pedometers during 2000 (T1), 2003 (T2), 2005 (T3), 2010 (T4), 2016 (T5) and 2020 (T6). Data from 64 participants (n = 32 males) were analysed from their early adolescence (T1) to their mid-thirties (T6). Results: SPD decreased in the total sample and among males and females (all, p < 0.001). Males took more mean SPD than females during T1 (p = 0.002), whereas females took more mean SPD during T2 (p = 0.009) and T6 (p = 0.008). Males’ mean SPD tracked between T1 and T2 (p = 0.021), T2 and T3 (p = 0.030), T3 and T4 (p = 0.015) and T4 and T5 (p = 0.003). Females’ mean SPD tracked between T3 and T4 (p = 0.024) and T5 and T6 (p < 0.001). In the total sample, more mean SPD were found on weekdays compared to weekend days at T3 (p = 0.017) and T5 (p < 0.001). Conclusions: SPD decreased between T1 and T6. Mean SPD tracked low-to-moderate in the short time span. From late adolescence to the mid-thirties, more mean SPD was observed during weekdays compared to weekend days.

Tracking of Pedometer-Determined Physical Activity: A 16-Year Follow-Up Study

2018 ◽  
Vol 15 (1) ◽  
pp. 7-12 ◽  
Author(s):  
Anders Raustorp ◽  
Andreas Fröberg
Keyword(s):  
Physical Activity ◽  
Time Span ◽  
Early Adolescent ◽  
Anthropometric Data ◽  
Follow Up Study ◽  
Short Time Span ◽  
Steps Per Day ◽  
Short Time

Background: The aims of this study were to explore the effect of time and long-termed tracking on pedometer-determined physical activity (PA) from early adolescent to the 30s. Methods: PA was measured with pedometers [Yamax™ (SW-200)] during 2000 (time 1), 2003 (time 2), 2005 (time 3), 2010 (time 4), and 2016 (time 5). Anthropometric data were collected during time 1. Data from 59 participants (n = 32 males) were analyzed from early adolescent (time 1) to the 30s (time 5). Results: There was an effect of time for males (P = .005, η2 = .76) and females (P = .002, η2 = .50) where steps per day decreased. Males steps per day tracked between time 1 and time 2 (r = .41, P = .021), time 1 and time 3 (r = .38, P = .03), time 3 and time 4 (r = .42, P = .015), and time 4 and time 5 (r = .50, P = .003). Females steps per day tracked between time 4 and time 5 (r = .39, P = .04). Males took more steps per day than females during time 1 (P = .018), whereas females took more steps per day during time 2 (P = .043) and time 3 (P = .03). Conclusion: There was a significant effect of time, where steps per day decreased between the 5 times of measurement. Steps per day tracked low to moderate in the short time span, yet tracked nonsignificantly from early adolescent to the 30s.

scholarly journals Long-Term Correlates of Objectively Measured Physical Activity and Sedentary Time in Norwegian Men and Women

2015 ◽  
Vol 12 (11) ◽  
pp. 1500-1507 ◽  
Author(s):  
Ane Kristiansen Solbraa ◽  
Ulf Ekelund ◽  
Ingar M. Holme ◽  
Sidsel Graff-Iversen ◽  
Jostein Steene-Johannessen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Perceived Health ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Background:Sex, age, body mass index (BMI), perceived health and health behavior are correlates known to affect physical activity and sedentary time. However, studies have often been cross-sectional, and less is known about long-term correlates. Thus, the aims were to investigate 1) the associations between a set of characteristics (demographic, biological, psychological, and behavioral) and objectively measured physical activity and sedentary time at 13-year follow-up, and 2) the association between changes in these characteristics over time and physical activity and sedentary time.Methods:Baseline characteristics were collected in 40-year-olds in 1996, and follow-up data on objectively measured physical activity and sedentary time were obtained in 2009 (n = 240). Data were analyzed by multiple linear regressions.Results:Self-reported physical activity (P < .001) and improved perceived health (P = .046) were positively associated with moderate-to-vigorous physical activity (MVPA) whereas BMI (P = .034) and increased BMI (P = .014) were negatively associated with MVPA at follow-up. Women spent less time being sedentary than men (P = .019). Education (P < .001) was positively associated and improved perceived health (P = .010) was negatively associated with sedentary time at follow-up.Conclusions:MVPA and sedentary time at follow-up were associated with behavioral, biological and demographic correlates. However, the nature of our analyses prevents us from inferring causality.

scholarly journals Association between objectively measured physical activity and longitudinal changes in body composition in adolescents: the Tromsø study fit futures cohort

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e036991
Author(s):  
Nils Abel Aars ◽  
Sigurd Beldo ◽  
Bjarne Koster Jacobsen ◽  
Alexander Horsch ◽  
Bente Morseth ◽  
...  
Keyword(s):  
Physical Activity ◽  
High School ◽  
Body Composition ◽  
Vigorous Physical Activity ◽  
First Year ◽  
Upper Secondary ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Secondary High School

ObjectivesPhysical activity may be important in deterring the obesity epidemic. This study aimed to determine whether objectively measured physical activity in first year of upper secondary high school predicted changes in body composition over 2 years of follow-up in a cohort of Norwegian adolescents (n=431).DesignA longitudinal study of adolescents (mean age of 16 (SD 0.4) at baseline, 60.3% girls) participating in the Fit Futures studies 1 (2010–2011) and 2 (2012–2013).SettingAll eight upper secondary high schools in two municipalities in Northern Norway.ParticipantsStudents participating in both studies and under the age of 18 at baseline and with valid measurement of physical activity at baseline and body composition in both surveys.Primary and secondary outcomesChange in objectively measured body mass index and waist circumference and change in dual-energy X-ray absorptiometry measured fat mass index, lean mass index (LMI) and appendicular LMI (aLMI) between baseline and follow-up.ResultsAt baseline, boys had significantly higher physical activity volume (p=0.01) and spent on average of 6.4 (95% CI 2.1 to 10.6) more minutes in moderate-to-vigorous physical activity (MVPA) than girls (p<0.01). In girls, multivariate regression analyses showed that more sedentary time was negatively associated with changes in LMI (p<0.01) and aLMI (p<0.05), whereas more light activity had opposite effects on these measures (p<0.01 and p<0.05, respectively). No significant associations between measures of baseline physical activity and changes in body composition parameters were observed in boys.ConclusionsIn this cohort of Norwegian adolescents, sedentary and light physical activity was associated with changes in LMI and aLMI in girls, but not boys. Minutes spent in MVPA in first year of upper secondary high school was not associated with changes in measures of body composition in neither sex after 2 years.

scholarly journals User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial (Preprint)

2019 ◽  
Author(s):  
Sarah Edney ◽  
Jillian C Ryan ◽  
Tim Olds ◽  
Courtney Monroe ◽  
François Fraysse ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mixed Models ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
User Engagement ◽  
User Characteristics ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Super Users

BACKGROUND The success of a mobile phone app in changing health behavior is thought to be contingent on engagement, commonly operationalized as frequency of use. OBJECTIVE This subgroup analysis of the 2 intervention arms from a 3-group randomized controlled trial aimed to examine user engagement with a 100-day physical activity intervention delivered via an app. Rates of engagement, associations between user characteristics and engagement, and whether engagement was related to intervention efficacy were examined. METHODS Engagement was captured in a real-time log of interactions by users randomized to either a gamified (n=141) or nongamified version of the same app (n=160). Physical activity was assessed via accelerometry and self-report at baseline and 3-month follow-up. Survival analysis was used to assess time to nonuse attrition. Mixed models examined associations between user characteristics and engagement (total app use). Characteristics of super users (top quartile of users) and regular users (lowest 3 quartiles) were compared using <italic>t</italic> tests and a chi-square analysis. Linear mixed models were used to assess whether being a super user was related to change in physical activity over time. RESULTS Engagement was high. Attrition (30 days of nonuse) occurred in 32% and 39% of the gamified and basic groups, respectively, with no significant between-group differences in time to attrition (<italic>P</italic>=.17). Users with a body mass index (BMI) in the healthy range had higher total app use (mean 230.5, 95% CI 190.6-270.5; <italic>F</italic><sub>2</sub>=8.67; <italic>P</italic>&lt;.001), compared with users whose BMI was overweight or obese (mean 170.6, 95% CI 139.5-201.6; mean 132.9, 95% CI 104.8-161.0). Older users had higher total app use (mean 200.4, 95% CI 171.9-228.9; <italic>F</italic><sub>1</sub>=6.385; <italic>P</italic>=.01) than younger users (mean 155.6, 95% CI 128.5-182.6). Super users were 4.6 years older (t<sub>297</sub>=3.6; <italic>P</italic>&lt;.001) and less likely to have a BMI in the obese range (χ<sup>2</sup><sub>2</sub>=15.1; <italic>P</italic>&lt;.001). At the 3-month follow-up, super users were completing 28.2 (95% CI 9.4-46.9) more minutes of objectively measured physical activity than regular users (<italic>F</italic><sub>1,272</sub>=4.76; <italic>P</italic>=.03). CONCLUSIONS Total app use was high across the 100-day intervention period, and the inclusion of gamified features enhanced engagement. Participants who engaged the most saw significantly greater increases to their objectively measured physical activity over time, supporting the theory that intervention exposure is linked to efficacy. Further research is needed to determine whether these findings are replicated in other app-based interventions, including those experimentally evaluating engagement and those conducted in real-world settings.

scholarly journals User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial

10.2196/14645 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e14645 ◽  
Author(s):  
Sarah Edney ◽  
Jillian C Ryan ◽  
Tim Olds ◽  
Courtney Monroe ◽  
François Fraysse ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mixed Models ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
User Engagement ◽  
User Characteristics ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Super Users

Background The success of a mobile phone app in changing health behavior is thought to be contingent on engagement, commonly operationalized as frequency of use. Objective This subgroup analysis of the 2 intervention arms from a 3-group randomized controlled trial aimed to examine user engagement with a 100-day physical activity intervention delivered via an app. Rates of engagement, associations between user characteristics and engagement, and whether engagement was related to intervention efficacy were examined. Methods Engagement was captured in a real-time log of interactions by users randomized to either a gamified (n=141) or nongamified version of the same app (n=160). Physical activity was assessed via accelerometry and self-report at baseline and 3-month follow-up. Survival analysis was used to assess time to nonuse attrition. Mixed models examined associations between user characteristics and engagement (total app use). Characteristics of super users (top quartile of users) and regular users (lowest 3 quartiles) were compared using t tests and a chi-square analysis. Linear mixed models were used to assess whether being a super user was related to change in physical activity over time. Results Engagement was high. Attrition (30 days of nonuse) occurred in 32% and 39% of the gamified and basic groups, respectively, with no significant between-group differences in time to attrition (P=.17). Users with a body mass index (BMI) in the healthy range had higher total app use (mean 230.5, 95% CI 190.6-270.5; F2=8.67; P<.001), compared with users whose BMI was overweight or obese (mean 170.6, 95% CI 139.5-201.6; mean 132.9, 95% CI 104.8-161.0). Older users had higher total app use (mean 200.4, 95% CI 171.9-228.9; F1=6.385; P=.01) than younger users (mean 155.6, 95% CI 128.5-182.6). Super users were 4.6 years older (t297=3.6; P<.001) and less likely to have a BMI in the obese range (χ22=15.1; P<.001). At the 3-month follow-up, super users were completing 28.2 (95% CI 9.4-46.9) more minutes of objectively measured physical activity than regular users (F1,272=4.76; P=.03). Conclusions Total app use was high across the 100-day intervention period, and the inclusion of gamified features enhanced engagement. Participants who engaged the most saw significantly greater increases to their objectively measured physical activity over time, supporting the theory that intervention exposure is linked to efficacy. Further research is needed to determine whether these findings are replicated in other app-based interventions, including those experimentally evaluating engagement and those conducted in real-world settings. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12617000113358; https://www.anzctr.org.au/ACTRN12617000113358.aspx

scholarly journals Relationship between Objectively and Subjectively Measured Physical Activity in Adolescents during and after COVID-19 Restrictions

2021 ◽  
Vol 11 (12) ◽  
pp. 177
Author(s):  
Armando Cocca ◽  
Klaus Greier ◽  
Clemens Drenowatz ◽  
Gerhard Ruedl
Keyword(s):  
Physical Activity ◽  
International Physical Activity Questionnaire ◽  
Potential Threat ◽  
Highly Active ◽  
Short And Long Term ◽  
Objectively Measured ◽  
The Relationship ◽  
Objectively Measured Physical Activity ◽  
Activity Questionnaire

Background: Studying the relationship between subjectively and objectively measured physical activity (PA) can provide viable information on youths’ behaviors. However, the restrictions due to COVID-19 pandemic, which reduced children’s possibilities to be active, may negatively affect it. The aim of this study was to assess the relationship between subjectively and objectively measured PA levels (light, moderate, vigorous, and moderate-to-vigorous) during COVID-19-based restrictions and after they were lifted, and to determine whether such relationships changed in these two periods. Methods: A total of 26 adolescents (58% girls; mean age = 12.4 ± 0.5) wore accelerometers during public restrictions and after they were removed. Participants also completed the International Physical Activity Questionnaire during the same periods. Results: High significant correlations were found at all levels of PA (r = 0.767–0.968) in both time periods, except for moderate PA during restrictions. Comparing the two periods, significantly higher correlations were found for moderate PA (p < 0.001) and moderate-to-vigorous PA (p = 0.003) after restrictions were lifted. Conclusions: In this highly active cohort of adolescents, results emphasize the potential threat of lockdown conditions for youths’ ability to accurately perceive their behaviors, with possible detrimental consequences on the short- and long-term health.

scholarly journals Bi-directional Prospective Associations Between Objectively Measured Physical Activity And Fundamental Motor Skills In Children: A Two-year Follow-up

2020 ◽  
Vol 52 (7S) ◽  
pp. 197-197
Author(s):  
Ada Kristine Ofrim Nilsen ◽  
Sigmund A. Anderssen ◽  
Kjersti Johannessen ◽  
Katrine N. Aadland ◽  
Einar Ylvisaaker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Motor Skills ◽  
Fundamental Motor Skills ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Associations of Objectively Measured Physical Activity With Lower Limb Function in Older Men and Women: Findings From the Older People and Active Living (OPAL) Study

2014 ◽  
Vol 22 (1) ◽  
pp. 34-43 ◽  
Author(s):  
Tanya Trayers ◽  
Debbie A. Lawlor ◽  
Kenneth R. Fox ◽  
Jo Coulson ◽  
Mark Davis ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lower Limb ◽  
Odds Ratio ◽  
Limb Function ◽  
Steps Per Day ◽  
Low Levels ◽  
Objectively Measured ◽  
Older Men And Women ◽  
Objectively Measured Physical Activity ◽  
Lower Limb Function

Associations of objectively measured physical activity (PA) with objectively measured lower limb function in adults age 70 and older were studied. Lower limb function was assessed using the Short Physical Performance Battery (SPPB) and PA by an accelerometer providing mean daily counts per minute (CPM), mean daily steps and minutes of moderate or vigorous PA (MVPA) per day. A minority (32 [13%]) scored low (≤6 out of a maximum of 12) on the SPPB, but only 3 (1%) achieved recommended PA levels. Adjusting for confounders, the odds ratio of low SPPB (≤6) comparing those in the lowest one third to highest two thirds of mean CPM was 55 (95%CI: 6, 520); for mean steps per day it was 23 (95%CI: 4, 137) and for minutes of MVPA per day 56 (95%CI: 6, 530). Low levels of PA are common and are associated with poor levels of lower limb function in older adults.

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