It is unknown whether using different published thresholds (PTs) for classifying physical activity (PA) impacts upon activity-health relationships. This study explored whether relationships between PA (sedentary [SED], light PA [LPA], moderate PA [MPA], moderate-to-vigorous PA, vigorous PA [VPA]) and health markers differed in children when classified using three different PTs

AR Gaya

AV Rowlands

B Gutin

C Mattocks

C Riddoch

Catherine J. Kerr

CJ Riddoch

Conrad P. Earnest

D Jimenez-Pavon

Daniel P. Bailey

DP Bailey

E Stamatakis

ES Ford

EY Chu

HD McCarthy

I Ferreira

I Janssen

J Hussey

J Vanhelst

JP Chaput

JV Freeman

L Aires

LB Andersen

LC Masse

Louise A. Savory

Lynne M. Boddy

M Krekoukia

MR Stone

P Parikh

S Vahlkvist

Sarah J. Denton

SM Camhi

SN Blair

T Shemesh

TJ Cole

U Ekelund

PLoS ONE

English

PubMed

BACKGROUND: It is unknown whether using different published thresholds (PTs) for classifying physical activity (PA) impacts upon activity-health relationships. This study explored whether relationships between PA (sedentary [SED], light PA [LPA], moderate PA [MPA], moderate-to-vigorous PA, vigorous PA [VPA]) and health markers differed in children when classified using three different PTs. METHODS: 104 children (63 girls) aged 10-14 years wore an RT3 triaxial accelerometer for seven days and measures of adiposity and cardiometabolic risk markers were taken. RESULTS: Significant associations (p< .05) in boys were found between LPA and body mass index z-score and waist circumference z-score for the Rowlands et al PT only (β =  .459 and.401, respectively) and body fat% (BF%) for the Chu et al PT only (β = .322) and in girls with BF% for the Rowlands et al PT only (β =  .303) and systolic BP and blood glucose for the Vanhelst et al PT only (β = -.298 and -.283, respectively). MPA was significantly (p<.05) associated with BF%, diastolic BP, and cardiorespiratory fitness (CRF) for the Chu et al PT only in girls (β = -.436, -.529, and .446, respectively). SED was significantly (p<.05) associated with triglycerides (β = .492) for the Rowlands et al PT only in boys and VPA with CRF (p<.05) for the Rowlands et al and Vanhelst et al PTs only in girls (β = .416 and .352, respectively). CONCLUSIONS: The choice of PT impacted upon activity-health relationships. A consensus on appropriate accelerometer thresholds for quantifying PA intensity and sedentary behaviour is needed in order to make accurate evidence-based recommendations for health promotion

Daniel P Bailey

Lynne M Boddy

Louise A Savory

Sarah J Denton

Catherine J Kerr

Directory of Open Access Journals

Choice of activity-intensity classification thresholds impacts upon accelerometer-assessed physical activity-health relationships in children.

It is unknown whether using different published thresholds (PTs) for classifying physical activity (PA) impacts upon activity-health relationships. This study explored whether relationships between PA (sedentary [SED], light PA [LPA], moderate PA [MPA], moderate-to-vigorous PA, vigorous PA [VPA]) and health markers differed in children when classified using three different PTs.This work was funded by the Bedford Charity (grant number 166/308; http://www.bedfordcharity.org.uk). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Bailey, Daniel Paul

Boddy, Lynne M.

Savory, Louise A.

Denton, Sarah J.

Kerr, Catherine J.

Earnest, Conrad P.

University of Bedfordshire Repository

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Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.

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Associations between cardiorespiratory fitness, physical activity and clustered cardiometabolic risk in children and adolescents: the HAPPY study.

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Body fat reference curves for children.

Body mass index reference curves for the UK,

Calibration of the RT3 accelerometer for ambulation and nonambulation in children.

Calibration of the RT3 accelerometer for various patterns of physical activity in children and adolescents.

Childhood obesity and overweight prevalence trends in England: evidence for growing socioeconomic disparities.

Clinical utility of a fingerstick technology to identify individuals with abnormal blood lipids and high-sensitivity C-reactive protein levels.

Cross sectional stature and weight reference curves for the UK,

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Independent associations of physical activity and cardiorespiratory fitness with metabolic risk factors in children: the European Youth Heart study.

Intensity of physical activity, cardiorespiratory fitness, and body mass index in youth.

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Is physical activity or physical fitness more important in defining health benefits?

Patterns of habitual activity across weekdays and weekend days in 9–11-year-old children.

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Relations of moderate and vigorous physical activity to fitness and fatness in adolescents.

Relationship between the intensity of physical activity, inactivity, cardiorespiratory fitness and body composition in 7–10-year-old Dublin children.

Relationships between accelerometer-assessed physical activity and health in children: impact of the activityintensity classification method.

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Systematic review of the health benefits of physical activity and fitness in school-aged children and youth.

The development of waist circumference percentiles in British children aged 5.0–16.9 y.

The European Youth Heart study - cardiovascular disease risk factors in children: rationale, aims, study design, and validation of methods.

Tracking of cardiometabolic risk factor clustering from childhood to adulthood.

Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision.

Validation of the RT3 triaxial accelerometer for the assessment of physical activity.

What proportion of youth are physically active? Measurement issues, levels and recent time trends.

Choice of activity-intensity classification thresholds impacts upon accelerometer-assessed physical activity-health relationships in children

Crossref

Choice of Activity-Intensity Classification Thresholds Impacts upon Accelerometer-Assessed Physical Activity-Health Relationships in Children

It is unknown whether using different published thresholds (PTs) for classifying physical activity (PA) impacts upon activity-health relationships. This study explored whether relationships between PA (sedentary [SED], light PA [LPA], moderate PA [MPA], moderate-to-vigorous PA, vigorous PA [VPA]) and health markers differed in children when classified using three different PTs.104 children (63 girls) aged 10–14 years wore an RT3 triaxial accelerometer for seven days and measures of adiposity and cardiometabolic risk markers were taken.<.05) for the Rowlands et al and Vanhelst et al PTs only in girls (β = .416 and .352, respectively).The choice of PT impacted upon activity-health relationships. A consensus on appropriate accelerometer thresholds for quantifying PA intensity and sedentary behaviour is needed in order to make accurate evidence-based recommendations for health promotion

Bailey Daniel P.

Boddy Lynne M.

Savory Louise A.

Denton Sarah J.

Kerr Catherine J.

Public Library of Science (PLOS)

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Choice of activity-intensity classification thresholds impacts upon accelerometer-assessed physical activity-health relationships in children

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