scholarly journals Timing of the decline in physical activity in childhood and adolescence: Gateshead Millennium Cohort Study

2017 ◽  
Vol 52 (15) ◽  
pp. 1002-1006 ◽  
Author(s):  
Mohammed Abdulaziz Farooq ◽  
Kathryn N Parkinson ◽  
Ashley J Adamson ◽  
Mark S Pearce ◽  
Jessica K Reilly ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Childhood And Adolescence ◽  
Activity Data ◽  
Time Points ◽  
North East ◽  
Age Related ◽  
Intensity Physical Activity ◽  
Future Policy

Background and aimThere is a widely held and influential view that physical activity begins to decline at adolescence. This study aimed to identify the timing of changes in physical activity during childhood and adolescence.MethodsLongitudinal cohort study (Gateshead Millennium Study) with 8 years of follow-up, from North-East England. Cohort members comprise a socioeconomically representative sample studied at ages 7, 9, 12 and 15 years; 545 individuals provided physical activity data at two or more time points. Habitual total volume of physical activity and moderate-to-vigorous intensity physical activity (MVPA) were quantified objectively using the Actigraph accelerometer over 5–7 days at the four time points. Linear mixed models identified the timing of changes in physical activity across the 8-year period, and trajectory analysis was used to identify subgroups with distinct patterns of age-related changes.ResultsFour trajectories of change in total volume of physical activity were identified representing 100% of all participants: all trajectories declined from age 7 years. There was no evidence that physical activity decline began at adolescence, or that adolescent declines in physical activity were substantially greater than the declines during childhood, or greater in girls than boys. One group (19% of boys) had relatively high MVPA which remained stable between ages 7 and15 years.ConclusionsFuture policy and research efforts to promote physical activity should begin well before adolescence, and should include both boys and girls.

scholarly journals Impaired vision and physical activity in childhood and adolescence: findings from the Millennium Cohort Study

2021 ◽  
pp. bjophthalmol-2021-320315
Author(s):  
Lisanne Andra Horvat-Gitsels ◽  
Mario Cortina-Borja ◽  
Ameenat Lola Solebo ◽  
Jugnoo Sangeeta Rahi
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Vigorous Physical Activity ◽  
Childhood And Adolescence ◽  
Millennium Cohort Study ◽  
Impaired Vision ◽  
Age Related ◽  
High Participation ◽  
The Uk ◽  
Recommended Level

Background/aimsInvestigate if impaired vision is associated with reduced levels and differences in types of physical activity (PA) to identify barriers or enablers to achieving healthy PA levels.MethodsData from the Millennium Cohort Study of children born in the UK in 2000–2001 and followed-up to age 14 years (n=11 571). Using parental report on eye conditions coded by clinicians, children were categorised as having no, unilateral or bilateral impaired vision. Outcomes included objective accelerometer-derived time spent in moderate-to-vigorous physical activity (MVPA), and 16 PA types reported by parents, teachers and/or participants, covering physical education (PE), organised sports, self-organised sports and hobbies.ResultsOverall, 50% of 7-year-olds and subsequently 41% as 14-year-olds achieved the internationally recommended level of ≥60 MVPA min/day, irrespective of vision status, and mainly attributable to PE and organised sports. Bilateral impaired vision (vs none) was associated with parent-reported difficulties with PE (adjusted OR, 4.67; 95% CI, 2.31 to 9.41), self-rated poor ability in PE (3.21; 1.44 to 7.15) and not enjoy indoor PA (0.48; 0.26 to 0.88). Unilateral impaired vision was associated with both parent-rated difficulties (1.80; 1.26 to 2.59) and teachers’ perception of low ability in PE (2.27; 1.57 to 3.28), and reduced odds of high participation in organised sports (0.77; 0.59 to 0.99). Age-related trajectories showed suboptimal PA in childhood tracked into adolescence, with no difference by vision status.ConclusionPopulation-wide programmes to increase PA levels in children should pay special attention to those with impaired vision and include early interventions to encourage participation and confidence in PE and organised sports, starting in primary school and maintained afterwards.

scholarly journals Change in device-measured physical activity assessed in childhood and adolescence in relation to depressive symptoms: a general population-based cohort study

2020 ◽  
Vol 74 (4) ◽  
pp. 330-335 ◽  
Author(s):  
Mark Hamer ◽  
Praveetha Patalay ◽  
Steven Bell ◽  
G David Batty
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Population Based ◽  
Childhood And Adolescence ◽  
Vigorous Activity ◽  
Current Recommendation ◽  
Baseline Activity ◽  
The Uk

AimEvidence for a link between physical activity and mental health in young people is hampered by methodological shortcomings. Using repeat assessments of device-measured physical activity, we examined the association of within-individual variation in free-living activity over 7 years with depressive symptoms.MethodsThis was a prospective cohort study of a nationally representative sample of children born in the UK (n=4898). Physical activity was quantified using accelerometry at ages 7 and 14. The main outcome was depressive symptoms, based on the Short Mood and Feelings Questionnaire, assessed at age 14.ResultsAfter adjustment for socioeconomic status, body mass index and psychological problems at baseline, a higher level of light-intensity activity at age 7 in girls was associated with a lower likelihood of having depressive symptoms at follow-up (OR, 0.79; 95% CI 0.61 to 1.00), although no associations were observed for moderate to vigorous activity or sedentary behaviour. Girls who transitioned from low baseline activity to higher levels at follow-up experienced a lower risk of depressive symptoms (OR, 0.60; 95% CI 0.39 to 0.92) compared with the inactive reference category. Null associations were observed in boys. Participants who consistently met the current recommendation of 60 min/day of moderate to vigorous activity both at 7 and 14 years of age experienced the lowest risk of depressive symptoms (OR, 0.55; 95% CI 0.34 to 0.88).ConclusionTo prevent depressive symptoms in adolescence, policies to increase physical activity from mid-childhood may have utility.

Cognitive Impairment and Physical Activity in Old Age: The Impact on All-Cause Mortality in a 15-Year Follow-Up of the Bambuí Cohort Study of Aging

2020 ◽  
Author(s):  
Erico Castro-Costa ◽  
Jerson Laks ◽  
Cecilia Godoi Campos ◽  
Josélia OA Firmo ◽  
Maria Fernanda Lima-Costa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
Cognitive Impairment ◽  
Old Age ◽  
All Cause Mortality ◽  
The Impact

Accelerometry and Self-Report Are Congruent for Children’s Moderate-to-Vigorous and Higher Intensity Physical Activity

2021 ◽  
pp. 1-8
Author(s):  
Claudio R. Nigg ◽  
Xanna Burg ◽  
Barbara Lohse ◽  
Leslie Cunningham-Sabo
Keyword(s):  
Physical Activity ◽  
Repeated Measures ◽  
Vigorous Physical Activity ◽  
Fourth Grade ◽  
Assessment Method ◽  
Self Report ◽  
Upper Elementary ◽  
Upper Elementary School ◽  
Intensity Physical Activity

Purpose: This study used different analytic approaches to compare physical activity (PA) metrics from accelerometers (ACC) and a self-report questionnaire in upper elementary youth participating in the Fuel for Fun intervention. Methods: The PA questionnaire and ACC were assessed at baseline/preintervention (fall fourth grade), Follow-up 1/postintervention (spring fourth grade), and Follow-up 2 (fall fifth grade) of 564 fourth grade students from three elementary schools (50% females, 78% White, and 28% overweight or obese). Different analytic approaches identified similarities and differences between the two methods. Results: On average, self-report was higher than ACC for vigorous PA (range = 9–15 min/day), but lower than ACC for moderate PA (range = 24–30 min/day), light PA (range = 30–36 min/day), and moderate-to-vigorous physical activity (MVPA; range = 9–21 min/day). Spearman’s correlations for vigorous PA (.30, .26, and .32); moderate PA (.12, .13, and .14); and MVPA (.25, .25, and .24) were significant at each time point (all ps ≤ .01), whereas correlations for light PA were not significant (.06, .04, and .07; all ps > .05). In repeated-measures analyses, ACC and questionnaire measures were significantly different from each other across the three time points; however, change difference of the two measures over time was only 5.5 MVPA min/day. Conclusions: The PA questionnaire and ACC validated each other and can be used to assess MVPA in upper elementary school children in a similar population to the current study. However, each assessment method captures unique information, especially for light-intensity PA. Multiple PA measurement methods are recommended to be used in research and application to provide a more comprehensive understanding of children’s activity.

scholarly journals Longitudinal Changes in Sitting Patterns, Physical Activity, and Health Outcomes in Adolescents

Children ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
Ana Contardo Ayala ◽  
Jo Salmon ◽  
David Dunstan ◽  
Lauren Arundell ◽  
Kate Parker ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
Sitting Time ◽  
Linear Regression Models ◽  
Anthropometric Measures ◽  
Prolonged Sitting ◽  
Intensity Physical Activity ◽  
Changes Over Time

This study examined two-year changes in patterns of activity and associations with body mass index (BMI) and waist circumference (WC) among adolescents. Inclinometers (activPAL) assessed sitting, sitting bouts, standing, stepping, and breaks from sitting. ActiGraph-accelerometers assessed sedentary time (SED), light-intensity physical activity (LIPA, stratified as low- and high-LIPA), and moderate-to-vigorous physical activity (MVPA). Anthropometric measures were objectively assessed at baseline and self-reported at follow-up. Data from 324 and 67 participants were obtained at baseline and follow-up, respectively. Multilevel mixed-effects linear regression models examined changes over time, and associations between baseline values and BMI and WC at follow-up. There were significant increases in BMI (0.6 kg/m2) and durations of prolonged sitting (26.4 min/day) and SED (52 min/day), and significant decreases in stepping (−19 min/day), LIPA (−33 min/day), low-LIPA (−26 min/day), high-LIPA (−6.3 min/day), MVPA (−19 min/day), and the number of breaks/day (−8). High baseline sitting time was associated (p = 0.086) with higher BMI at follow-up. There were no significant associations between baseline sitting, prolonged sitting, LIPA, or MVPA with WC. Although changes in daily activity patterns were not in a favourable direction, there were no clear associations with BMI or WC. Research with larger sample sizes and more time points is needed.

scholarly journals Development and Evaluation of an Accelerometer-Based Protocol for Measuring Physical Activity Levels in Cancer Survivors: Development and Usability Study

10.2196/18491 ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. e18491
Author(s):  
Tracy E Crane ◽  
Meghan B Skiba ◽  
Austin Miller ◽  
David O Garcia ◽  
Cynthia A Thomson
Keyword(s):  
Physical Activity ◽  
Ovarian Cancer ◽  
Data Collection ◽  
Cancer Survivors ◽  
Accelerometer Data ◽  
Activity Tracking ◽  
Activity Data ◽  
Convenience Sample ◽  
Time Points ◽  
Activity Measurements

Background The collection of self-reported physical activity using validated questionnaires has known bias and measurement error. Objective Accelerometry, an objective measure of daily activity, increases the rigor and accuracy of physical activity measurements. Here, we describe the methodology and related protocols for accelerometry data collection and quality assurance using the Actigraph GT9X accelerometer data collection in a convenience sample of ovarian cancer survivors enrolled in GOG/NRG 0225, a 24-month randomized controlled trial of diet and physical activity intervention versus attention control. Methods From July 2015 to December 2019, accelerometers were mailed on 1337 separate occasions to 580 study participants to wear at 4 time points (baseline, 6, 12, and 24 months) for 7 consecutive days. Study staff contacted participants via telephone to confirm their availability to wear the accelerometers and reviewed instructions and procedures regarding the return of the accelerometers and assisted with any technology concerns. Results We evaluated factors associated with wear compliance, including activity tracking, use of a mobile app, and demographic characteristics with chi-square tests and logistic regression. Compliant data, defined as ≥4 consecutive days with ≥10 hours daily wear time, exceeded 90% at all study time points. Activity tracking, but no other characteristics, was significantly associated with compliant data at all time points (P<.001). This implementation of data collection through accelerometry provided highly compliant and usable activity data in women who recently completed treatment for ovarian cancer. Conclusions The high compliance and data quality associated with this protocol suggest that it could be disseminated to support researchers who seek to collect robust objective activity data in cancer survivors residing in a wide geographic area.

scholarly journals Classroom Standing Desks and Time-Series Variation in Sedentary Behavior and Physical Activity among Primary School Children

2019 ◽  
Vol 16 (11) ◽  
pp. 1892 ◽  
Author(s):  
Tetsuhiro Kidokoro ◽  
Yasuo Shimizu ◽  
Kanako Edamoto ◽  
Michael Annear
Keyword(s):  
Physical Activity ◽  
Time Series ◽  
Primary School ◽  
Sedentary Behavior ◽  
School Children ◽  
Primary School Children ◽  
Control Group ◽  
School Time ◽  
Intensity Physical Activity

The purpose of the present study was to examine the effects of height-adjustable standing desks on time-series variation in sedentary behavior (SB) among primary school children. Thirty-eight children aged 11–12 years (22 boys and 16 girls) from two classes at a primary school in Nagano, Japan, participated in this study. One class was allocated as the intervention group and provided with individual standing desks for 6 months, and the other was allocated as the control group. Time spent in SB, light-intensity physical activity (LPA), and moderate-to-vigorous-intensity physical activity (MVPA) was measured using accelerometers (ActiGraph) at baseline and follow-up. Time spent in SB was significantly lower by 18.3 min/day on average in the intervention class at follow-up (interaction effects: F(1, 36) = 4.95, p = 0.035, η2 = 0.082). This was accompanied by a significant increase in time spent in MVPA (+19.9 min/day on average). Our time-series analysis showed significant decreases in SB during school time, while no change in SB was found during non-school time. This result indicates that the use of standing desks promotes an overall reduction in SB with no compensatory increase during non-school time.

Doing more than Just Acknowledging Attrition at Follow-Up: A Comment on Lu, Cheng, and Chen (2013)

2014 ◽  
Vol 115 (2) ◽  
pp. 419-426 ◽  
Author(s):  
Steve Amireault
Keyword(s):  
Physical Activity ◽  
Theory Of Planned Behavior ◽  
Longitudinal Studies ◽  
Selection Bias ◽  
Scientific Paper ◽  
Prospective Design ◽  
Activity Data ◽  
Behavioral Outcome ◽  
Study Results

Lu, Cheng, and Chen (2013) faced one of the most common challenges encountered in longitudinal studies: follow-up attrition. Using a correlational prospective design, 464 volunteers completed a questionnaire that measured the constructs of the theory of planned behavior, and subsequently 154 of them provided physical activity data at a 6-month follow-up. The proportion of participants (66.8%) for whom the investigators were not able to gather information on the behavioral outcome at follow-up may reflect a form of selection bias that may affect both the validity and generalizability of study results. Lu, et al.'s (2013) study is used here to explore the implication of follow-up attrition on the results and inference, to review what information should be reported in a scientific paper in such situations, and to give practical tips to handle follow-up attrition.

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