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LeBlanc AG, Katzmarzyk PT, Barreira TV, et al. Are participant characteristics from ISCOLE study sites comparable to the rest of their country?. Int J Obes Suppl. 2015;5:S9-S16doi: 10.1038/ijosup.2015.13.
LeBlanc, A. G., Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Chaput, J. P., Church, T. S., Fogelholm, M., Harrington, D. M., Hu, G., Kuriyan, R., Kurpad, A., Lambert, E. V., Maher, C., Maia, J., Matsudo, V., Olds, T., Onywera, V., Sarmiento, O. L., Standage, M., Tudor-Locke, C., Zhao, P., Tremblay, M. S. (2015). Are participant characteristics from ISCOLE study sites comparable to the rest of their country?. International journal of obesity supplements, 5S9-S16. https://doi.org/10.1038/ijosup.2015.13
LeBlanc, A G, et al. "Are participant characteristics from ISCOLE study sites comparable to the rest of their country?." International journal of obesity supplements vol. 5 (2015): S9-S16. doi: https://doi.org/10.1038/ijosup.2015.13
LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput JP, Church TS, Fogelholm M, Harrington DM, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Maia J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tudor-Locke C, Zhao P, Tremblay MS. Are participant characteristics from ISCOLE study sites comparable to the rest of their country?. Int J Obes Suppl. 2015 Dec;5:S9-S16. doi: 10.1038/ijosup.2015.13. Epub 2015 Dec 08. PMID: 27152192; PMCID: PMC4850614.
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Int J Obes Suppl. 2015 Dec;5:S9-S16. doi: 10.1038/ijosup.2015.13. Epub 2015 Dec 08.

Are participant characteristics from ISCOLE study sites comparable to the rest of their country?.

International journal of obesity supplements

A G LeBlanc, P T Katzmarzyk, T V Barreira, S T Broyles, J-P Chaput, T S Church, M Fogelholm, D M Harrington, G Hu, R Kuriyan, A Kurpad, E V Lambert, C Maher, J Maia, V Matsudo, T Olds, V Onywera, O L Sarmiento, M Standage, C Tudor-Locke, P Zhao, M S Tremblay,

Affiliations

  1. Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada; University of Ottawa, Ottawa, Ontario, Canada.
  2. Pennington Biomedical Research Center , Baton Rouge, LA, USA.
  3. Pennington Biomedical Research Center, Baton Rouge, LA, USA; University of Syracuse, Syracuse, New York, USA.
  4. Department of Food and Environmental Sciences, University of Helsinki , Helsinki, Finland.
  5. University of Leicester , Leicester, UK.
  6. St Johns Research Institute , Bangalore, India.
  7. Department of Human Biology, Division of Exercise Science and Sports Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa.
  8. Alliance for Research in Exercise Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia , Adelaide, South Australia, Australia.
  9. CIFI2D, Faculdade de Desporto, University of Porto , Porto, Portugal.
  10. Centro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul (CELAFISCS) , Sao Paulo, Brazil.
  11. Department of Recreation Management and Exercise Science, Kenyatta University , Nairobi, Kenya.
  12. School of Medicine, Universidad de los Andes , Bogota, Colombia.
  13. Department for Health, University of Bath , Bath, UK.
  14. Pennington Biomedical Research Center, Baton Rouge, LA, USA; Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA, USA.
  15. Department of Kinesiology, University of Massachusetts Amherst , Amherst, MA, USA.
  16. Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute , Ottawa, Ontario, Canada.

PMID: 27152192 PMCID: PMC4850614 DOI: 10.1038/ijosup.2015.13

Abstract

OBJECTIVES: The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) provides robust, multi-national information on physical activity, diet and weight status in 9-11-year-old children around the world. The purpose of this analysis was to examine the similarities and differences between participant characteristics from ISCOLE sites and data from nationally representative surveys from ISCOLE countries (Australia, Brazil, Canada, China, Colombia, Finland, Kenya, India, Portugal, South Africa, the United Kingdom and the United States).

METHODS: Distributions of characteristics were assessed within each ISCOLE country-level database, and compared with published data from national or regional surveys, where available. Variables of comparison were identified a priori and included body mass index (BMI), physical activity (accelerometer-determined steps per day) and screen time (child-report).

RESULTS: Of 12 countries, data on weight status (BMI) were available in 8 countries, data on measured physical activity (steps per day) were available in 5 countries and data on self-reported screen time were available in 9 countries. The five ISCOLE countries that were part of the Health Behaviour in School-aged Children Survey (that is, Canada, Finland, Portugal, the United Kingdom (England) and the United States) also provided comparable data on self-reported physical activity. Available country-specific data often used different measurement tools or cut-points, making direct comparisons difficult. Where possible, ISCOLE data were re-analyzed to match country-level data, but this step limited between-country comparisons.

CONCLUSIONS: From the analyses performed, the ISCOLE data do not seem to be systematically biased; however, owing to limitations in data availability, data from ISCOLE should be used with appropriate caution when planning country-level population health interventions. This work highlights the need for harmonized measurement tools around the world while accounting for culturally specific characteristics, and the need for collaboration across study centers and research groups.

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