TY - JOUR
T1 - Influence of Guideline Operationalization on Youth Activity Prevalence in the International Children's Accelerometry Database
AU - Gammon, Catherine
AU - Atkin, Andrew J.
AU - Corder, Kirsten
AU - Ekelund, U. L.F.
AU - Hansen, BjØrge Herman
AU - Sherar, Lauren B.
AU - Andersen, Lars B.O.
AU - Anderssen, Sigmund
AU - Davey, Rachel
AU - Hallal, Pedro C.
AU - Jago, Russell
AU - Kriemler, Susi
AU - Kristensen, Peter Lund
AU - Kwon, Soyang
AU - Northstone, Kate
AU - Pate, Russell
AU - Salmon, J. O.
AU - Sardinha, Luis B.
AU - Van Sluijs, Esther M.F.
N1 - Funding Information:
The pooling of the data was funded through a grant from the National Prevention Research Initiative (grant no. G0701877) ( http://www.mrc.ac.uk/research/initiatives/national-prevention-research-initiative-npri/ ). The funding partners relevant to this award are the following: British Heart Foundation; Cancer Research UK; Department of Health; Diabetes UK; Economic and Social Research Council; Medical Research Council; Research and Development Office for the Northern Ireland Health and Social Services; Chief Scientist Office; Scottish Executive Health Department; The Stroke Association; and Welsh Assembly Government and World Cancer Research Fund. This work was additionally supported by the Medical Research Council [MC_UU_12015/3; MC_UU_12015/7], The Research Council of Norway (249932/F20), Bristol University, Loughborough University and Norwegian School of Sport Sciences.
Funding Information:
The authors are extremely grateful to all the families who took part in the ALSPAC study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. The UK Medical Research Council and Wellcome (grant no. 102215/2/13/2) and the University of Bristol provide core support for ALSPAC. This publication is the work of the authors, and Catherine Gammon, Andrew J. Atkin, Kirsten Corder, Ulf Ekelund, Bjørge Herman Hansen, Lauren Sherar, and Esther van Sluijs will serve as guarantors for the contents of this article. A comprehensive list of grants funding is available on the ALSPAC Web site. This research was specifically funded by the Wellcome Trust (grant no. 086676/Z/08/Z) and NIH (grant no. 5R01HL071248-07).
Funding Information:
The ICAD was made possible thanks to the sharing of data from the following contributors (study name): Prof. L. B. Andersen, Faculty of Teacher Education and Sport, Western Norway University of Applied Sciences, Sogndal, Norway (Copenhagen School Child Intervention Study [CoSCIS]); Prof. S. Anderssen, Norwegian School for Sport Science, Oslo, Norway (European Youth Heart Study [EYHS], Norway); Prof. G. Cardon, Department of Movement and Sports Sciences, Ghent University, Belgium (Belgium Pre-School Study); Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), Hyattsville, MD (National Health and Nutrition Examination Survey [NHANES]); Dr. R. Davey, Centre for Research and Action in Public Health, University of Canberra, Australia (Children’s Health and Activity Monitoring for Schools [CHAMPS]); Dr. P. Hallal, Postgraduate Program in Epidemiology, Federal University of Pelotas, Brazil (1993 Pelotas Birth Cohort); Prof. K. F. Janz, Department of Health and Human Physiology, Department of Epidemiology, University of Iowa, Iowa City, IA (Iowa Bone Development Study); Prof. S. Kriemler, Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Switzerland (Kinder-Sportstudie (KISS)); Dr. N. Møller, University of Southern Denmark, Odense, Denmark (European Youth Heart Study [EYHS], Denmark); Dr. K. Northstone, School of Social and Community Medicine, University of Bristol, UK (Avon Longitudinal Study of Parents and Children [ALSPAC]); Dr. A. Page, Centre for Exercise, Nutrition and Health Sciences, University of Bristol, UK (Personal and Environmental Associations with Children’s Health (PEACH)); Prof. R. Pate, Department of Exercise Science, University of South Carolina, Columbia, SC (Physical Activity in Pre-school Children [CHAMPS-US] and Project Trial of Activity for Adolescent Girls [Project TAAG]); Dr. J. J. Puder, Service of Endocrinology, Diabetes and Metabolism, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland (Ballabeina Study); Prof. J. Reilly, Physical Activity for Health Group, School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK (Movement and Activity Glasgow Intervention in Children [MAGIC]); Prof. J. Salmon, Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia (Children Living in Active Neigbourhoods [CLAN] and Healthy Eating and Play Study [HEAPS]); Prof. L. B. Sardinha, Exercise and Health Laboratory, Faculty of Human Movement, Universidade de Lisboa, Lisbon, Portugal (European Youth Heart Study [EYHS], Portugal); and Dr. E. M. F. van Sluijs, MRC Epidemiology Unit and Centre for Diet and Activity Research, University of Cambridge, UK (Sport, Physical activity and Eating behavior: Environmental Determinants in Young people [SPEEDY]).
Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Introduction The United Kingdom and World Health Organization recently changed their youth physical activity (PA) guidelines from 60 min of moderate- to vigorous-intensity PA (MVPA) every day, to an average of 60 min of MVPA per day, over a week. The changes are based on expert opinion due to insufficient evidence comparing health outcomes associated with different guideline definitions. This study used the International Children's Accelerometry Database to compare approaches to calculating youth PA compliance and associations with health indicators. Methods Cross-sectional accelerometer data (n = 21,612, 5-18 yr) were used to examine compliance with four guideline definitions: daily method (DM; ≥60 min MVPA every day), average method (AM; average of ≥60 min MVPA per day), AM5 (AM compliance and ≥5 min of vigorous PA [VPA] on ≥3 d), and AM15 (AM compliance and ≥15 min VPA on ≥3 d). Associations between compliance and health indicators were examined for all definitions. Results Compliance varied from 5.3% (DM) to 29.9% (AM). Associations between compliance and health indicators were similar for AM, AM5, and AM15. For example, compliance with AM, AM5, and AM15 was associated with a lower BMI z-score (statistics are coefficient [95% CI]): AM (-0.28 [-0.33 to -0.23]), AM5 (-0.28 [-0.33 to -0.23], and AM15 (-0.30 [-0.35 to -0.25]). Associations between compliance and health indicators for DM were similar/weaker, possibly reflecting fewer DM-compliant participants with health data and lower variability in exposure/outcome data. Conclusions Youth completing 60 min of MVPA every day do not experience superior health benefits to youth completing an average of 60 min of MVPA per day. Guidelines should encourage youth to achieve an average of 60 min of MVPA per day. Different guideline definitions affect inactivity prevalence estimates; this must be considered when analyzing data and comparing studies.
AB - Introduction The United Kingdom and World Health Organization recently changed their youth physical activity (PA) guidelines from 60 min of moderate- to vigorous-intensity PA (MVPA) every day, to an average of 60 min of MVPA per day, over a week. The changes are based on expert opinion due to insufficient evidence comparing health outcomes associated with different guideline definitions. This study used the International Children's Accelerometry Database to compare approaches to calculating youth PA compliance and associations with health indicators. Methods Cross-sectional accelerometer data (n = 21,612, 5-18 yr) were used to examine compliance with four guideline definitions: daily method (DM; ≥60 min MVPA every day), average method (AM; average of ≥60 min MVPA per day), AM5 (AM compliance and ≥5 min of vigorous PA [VPA] on ≥3 d), and AM15 (AM compliance and ≥15 min VPA on ≥3 d). Associations between compliance and health indicators were examined for all definitions. Results Compliance varied from 5.3% (DM) to 29.9% (AM). Associations between compliance and health indicators were similar for AM, AM5, and AM15. For example, compliance with AM, AM5, and AM15 was associated with a lower BMI z-score (statistics are coefficient [95% CI]): AM (-0.28 [-0.33 to -0.23]), AM5 (-0.28 [-0.33 to -0.23], and AM15 (-0.30 [-0.35 to -0.25]). Associations between compliance and health indicators for DM were similar/weaker, possibly reflecting fewer DM-compliant participants with health data and lower variability in exposure/outcome data. Conclusions Youth completing 60 min of MVPA every day do not experience superior health benefits to youth completing an average of 60 min of MVPA per day. Guidelines should encourage youth to achieve an average of 60 min of MVPA per day. Different guideline definitions affect inactivity prevalence estimates; this must be considered when analyzing data and comparing studies.
KW - ACCELEROMETER
KW - COMPLIANCE
KW - ICAD
KW - PHYSICAL ACTIVITY
KW - VIGOROUS-INTENSITY PHYSICAL ACTIVITY
UR - http://www.scopus.com/inward/record.url?scp=85132453361&partnerID=8YFLogxK
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U2 - 10.1249/MSS.0000000000002884
DO - 10.1249/MSS.0000000000002884
M3 - Article
C2 - 35195101
AN - SCOPUS:85132453361
SN - 0195-9131
VL - 54
SP - 1114
EP - 1122
JO - Medicine and Science in Sports and Exercise
JF - Medicine and Science in Sports and Exercise
IS - 7
ER -