The Use of Pedometers for Monitoring Physical Activity in Children and Adolescents: Measurement Considerations

Clemes, Stacy A.; Biddle, Stuart J. H.

doi:10.1123/jpah.10.2.249

Cited by 94 publications

(116 citation statements)

References 79 publications

(109 reference statements)

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“…Despite heterogeneity across studies in the meta-analyses and the lack of association in some statistically tested comparisons, confidence in this finding has been strengthened by the relative consistency of evidence for both MVPA and TPA. Results are also consistent with studies that have assessed physical activity by pedometer and other objective methods [17–19]. …”

Section: Discussionsupporting

confidence: 90%

A Systematic Literature Review with Meta-Analyses of Within- and Between-Day Differences in Objectively Measured Physical Activity in School-Aged Children

et al. 2014

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BackgroundTargeting specific time periods of the day or week may enhance physical activity (PA) interventions in youth. The most prudent time segments to target are currently unclear.ObjectivesTo systematically review the literature describing differences in young people’s objectively measured PA on weekdays vs. weekends, in school vs. out of school, weekends vs. out of school and lesson time vs. break time.MethodsElectronic databases were searched for English-language, cross-sectional studies of school-aged children (4–18 years) reporting time-segment-specific accelerometer-measured PA from 01/1990 to 01/2013. We meta-analysed standardised mean differences (SMD) between time segments for mean accelerometer counts per minute (TPA) and minutes in moderate-to-vigorous PA (MVPA). SMD is reported in units of standard deviation; 0.2, 0.5 and 0.8 represent small, moderate and large effects. Heterogeneity was explored using meta-regression (potential effect modifiers: age, sex and study setting).ResultsOf the 54 included studies, 37 were eligible for meta-analyses. Children were more active on weekdays than weekends [pooled SMD (95 % CI) TPA 0.14 (0.08; 0.20), MVPA 0.42 (0.35; 0.49)]. On school days, TPA was lower in school than out of school; however, marginally more MVPA was accumulated in school [TPA −0.24 (−0.40; −0.08), MVPA 0.17 (−0.03; 0.38)]. TPA was slightly lower on weekends than out of school on school days, but a greater absolute volume of MVPA was performed on weekends [TPA −0.10 (−0.19; −0.01), MVPA 1.02 (0.82; 1.23)]. Heterogeneity between studies was high (I2 73.3–96.3 %), with 20.3–53.1 % of variance between studies attributable to potential moderating factors.ConclusionsSchool-aged children are more active on weekdays than weekend days. The outcome measure influences the conclusions for other comparisons. Findings support the tailoring of intervention strategies to specific time periods.Electronic supplementary materialThe online version of this article (doi:10.1007/s40279-014-0215-5) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 90%

A Systematic Literature Review with Meta-Analyses of Within- and Between-Day Differences in Objectively Measured Physical Activity in School-Aged Children

et al. 2014

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“…activity changes as a result of wearing the pedometer) could influence the validity of the study results. To improve the chances of valid results, a seven-day study design was used as no reactivity was reported in a meta-analysis by Clemes et al 15 No reactivity was observed in the statistical analysis.…”

Section: Limitations and Commentsmentioning

confidence: 99%

Physical activity of children from a small rural town, South Africa

Minnaar¹,

Grant

Fletcher

2016

South African Family Practice

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“…Additionally, they are a very effective tool for self-monitoring and motivation. Pedometers are easily interpretable and accessible as they provide an immediately visible display of accumulated step counts, a function not available in accelerometers (Clemes and Biddle 2013). However, only one study used the pedometer to assess the physical activity of children with ASD (Kodish et al 2006).…”

Section: Measurement Toolsmentioning

confidence: 99%

Methods and Procedures for Measuring Comorbid Disorders: Motor Movement and Activity

Liu

Breslin

ElGarhy

2015

Comorbid Conditions Among Children With Autism Spectrum Disorders

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The Use of Pedometers for Monitoring Physical Activity in Children and Adolescents: Measurement Considerations

Abstract: Additional Information:• As accepted for publication.

Cited by 94 publications

References 79 publications

A Systematic Literature Review with Meta-Analyses of Within- and Between-Day Differences in Objectively Measured Physical Activity in School-Aged Children

A Systematic Literature Review with Meta-Analyses of Within- and Between-Day Differences in Objectively Measured Physical Activity in School-Aged Children

Physical activity of children from a small rural town, South Africa

Methods and Procedures for Measuring Comorbid Disorders: Motor Movement and Activity

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