Affiliations 

  • 1 School of Psychological Sciences and Health, University of Strathclyde, UK; Centre for Social Research, University of Malawi, Malawi. Electronic address: tawonga.mwase-vuma@strath.ac.uk
  • 2 School of Psychological Sciences and Health, University of Strathclyde, UK
  • 3 Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Australia
  • 4 CHEO Research Institute, Canada; Department of Pediatrics, University of Ottawa, Canada; Department of Health Sciences, Carleton University, Canada
  • 5 SAMRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, South Africa
  • 6 School of Arts, Sciences, and Humanities, University of Sao Paulo, Brazil
  • 7 Department of Human Nutrition, Tokyo Kasei Gakuin University, Japan
  • 8 Centre of Community Education & Wellbeing, Faculty of Education, Universiti Kebangsaan Malaysia, Malaysia
  • 9 Department of Early Childhood Development, Capital Institute of Pediatrics, China
  • 10 Department of Epidemiology, Faculty of Public Health, Pham Ngoc Thach University of Medicine, Viet Nam
  • 11 Department of Biosciences and Nutrition, Karolinska Institutet, Sweden
  • 12 Department of Emerging and Neglected Diseases, Biomedical Research Foundation, Bangladesh
  • 13 Department of Paediatrics, Faculty of Medicine, University of Colombo, Sri Lanka
J Sci Med Sport, 2022 Dec;25(12):1002-1007.
PMID: 36270900 DOI: 10.1016/j.jsams.2022.10.003

Abstract

OBJECTIVES: To validate parent-reported child habitual total physical activity against accelerometry and three existing step-count thresholds for classifying 3 h/day of total physical activity in pre-schoolers from 13 culturally and geographically diverse countries.

DESIGN: Cross-sectional validation study.

METHODS: We used data involving 3- and 4-year-olds from 13 middle- and high-income countries who participated in the SUNRISE study. We used Spearman's rank-order correlation, Bland-Altman plots, and Kappa statistics to validate parent-reported child habitual total physical activity against activPAL™-measured total physical activity over 3 days. Additionally, we used Receiver Operating Characteristic Area Under the Curve analysis to validate existing step-count thresholds (Gabel, Vale, and De Craemer) using step-counts derived from activPAL™.

RESULTS: Of the 352 pre-schoolers, 49.1 % were girls. There was a very weak but significant positive correlation and slight agreement between parent-reported total physical activity and accelerometer-measured total physical activity (r: 0.140; p = 0.009; Kappa: 0.030). Parents overestimated their child's total physical activity compared to accelerometry (mean bias: 69 min/day; standard deviation: 126; 95 % limits of agreement: -179, 316). Of the three step-count thresholds tested, the De Craemer threshold of 11,500 steps/day provided excellent classification of meeting the total physical activity guideline as measured by accelerometry (area under the ROC curve: 0.945; 95 % confidence interval: 0.928, 0.961; sensitivity: 100.0 %; specificity: 88.9 %).

CONCLUSIONS: Parent reports may have limited validity for assessing pre-schoolers' level of total physical activity. Step-counting is a promising alternative - low-cost global surveillance initiatives could potentially use pedometers for assessing compliance with the physical activity guideline in early childhood.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.