Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD)
Abstract Background Large, heterogeneous datasets are required to enhance understanding of the multi-level influences on children’s physical activity and sedentary behaviour. One route to achieving this is through the pooling and co-analysis of data from multiple studies. Where this approach is used...
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| Format: | Article |
| Language: | English |
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BMC
2017-12-01
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| Series: | International Journal of Behavioral Nutrition and Physical Activity |
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| Online Access: | http://link.springer.com/article/10.1186/s12966-017-0631-7 |
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| author | Andrew J. Atkin Stuart J. H. Biddle Stephanie T. Broyles Mai Chinapaw Ulf Ekelund Dale W. Esliger Bjorge H. Hansen Susi Kriemler Jardena J. Puder Lauren B. Sherar Esther M. F. van Sluijs On behalf of the International Children’s Accelerometry Database (ICAD) Collaborators |
| author_facet | Andrew J. Atkin Stuart J. H. Biddle Stephanie T. Broyles Mai Chinapaw Ulf Ekelund Dale W. Esliger Bjorge H. Hansen Susi Kriemler Jardena J. Puder Lauren B. Sherar Esther M. F. van Sluijs On behalf of the International Children’s Accelerometry Database (ICAD) Collaborators |
| author_sort | Andrew J. Atkin |
| collection | DOAJ |
| description | Abstract Background Large, heterogeneous datasets are required to enhance understanding of the multi-level influences on children’s physical activity and sedentary behaviour. One route to achieving this is through the pooling and co-analysis of data from multiple studies. Where this approach is used, transparency of the methodology for data collation and harmonisation is essential to enable appropriate analysis and interpretation of the derived data. In this paper, we describe the acquisition, management and harmonisation of non-accelerometer data in a project to expand the International Children’s Accelerometry Database (ICAD). Method Following a consultation process, ICAD partners were requested to share accelerometer data and information on selected behavioural, social, environmental and health-related constructs. All data were collated into a single repository for cataloguing and harmonisation. Harmonised variables were derived iteratively, with input from the ICAD investigators and a panel of invited experts. Extensive documentation, describing the source data and harmonisation procedure, was prepared and made available through the ICAD website. Results Work to expand ICAD has increased the number of studies with longitudinal accelerometer data, and expanded the breadth of behavioural, social and environmental characteristics that can be used as exposure variables. A set of core harmonised variables, including parent education, ethnicity, school travel mode/duration and car ownership, were derived for use by the research community. Guidance documents and facilities to enable the creation of new harmonised variables were also devised and made available to ICAD users. An expanded ICAD database was made available in May 2017. Conclusion The project to expand ICAD further demonstrates the feasibility of pooling data on physical activity, sedentary behaviour and potential determinants from multiple studies. Key to this process is the rigorous conduct and reporting of retrospective data harmonisation, which is essential to the appropriate analysis and interpretation of derived data. These documents, made available through the ICAD website, may also serve as a guide to others undertaking similar projects. |
| first_indexed | 2024-12-13T05:49:22Z |
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| institution | Directory Open Access Journal |
| issn | 1479-5868 |
| language | English |
| last_indexed | 2024-12-13T05:49:22Z |
| publishDate | 2017-12-01 |
| publisher | BMC |
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| series | International Journal of Behavioral Nutrition and Physical Activity |
| spelling | doaj.art-15c589a61d3149aa9eb0a537c02fea642022-12-21T23:57:36ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682017-12-0114111210.1186/s12966-017-0631-7Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD)Andrew J. Atkin0Stuart J. H. Biddle1Stephanie T. Broyles2Mai Chinapaw3Ulf Ekelund4Dale W. Esliger5Bjorge H. Hansen6Susi Kriemler7Jardena J. Puder8Lauren B. Sherar9Esther M. F. van Sluijs10On behalf of the International Children’s Accelerometry Database (ICAD) CollaboratorsSchool of Health Sciences, Faculty of Medicine and Health Sciences, University of East AngliaInstitute for Resilient Regions, University of Southern QueenslandPennington Biomedical Research CenterDepartment of Public and Occupational Health, Amsterdam Public Health research institute, VU University Medical CenterDepartment of Sport Science, Norwegian School of Sport SciencesNational Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityDepartment of Sport Science, Norwegian School of Sport SciencesEpidemiology, Biostatistics and Prevention Institute, University of ZurichService of Endocrinology, Diabetes and Metabolism & Service of Pediatric Endocrinology, Diabetology and Obesity, Lausanne University HospitalNational Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health SciencesLoughborough UniversityMRC Epidemiology Unit and UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical CampusAbstract Background Large, heterogeneous datasets are required to enhance understanding of the multi-level influences on children’s physical activity and sedentary behaviour. One route to achieving this is through the pooling and co-analysis of data from multiple studies. Where this approach is used, transparency of the methodology for data collation and harmonisation is essential to enable appropriate analysis and interpretation of the derived data. In this paper, we describe the acquisition, management and harmonisation of non-accelerometer data in a project to expand the International Children’s Accelerometry Database (ICAD). Method Following a consultation process, ICAD partners were requested to share accelerometer data and information on selected behavioural, social, environmental and health-related constructs. All data were collated into a single repository for cataloguing and harmonisation. Harmonised variables were derived iteratively, with input from the ICAD investigators and a panel of invited experts. Extensive documentation, describing the source data and harmonisation procedure, was prepared and made available through the ICAD website. Results Work to expand ICAD has increased the number of studies with longitudinal accelerometer data, and expanded the breadth of behavioural, social and environmental characteristics that can be used as exposure variables. A set of core harmonised variables, including parent education, ethnicity, school travel mode/duration and car ownership, were derived for use by the research community. Guidance documents and facilities to enable the creation of new harmonised variables were also devised and made available to ICAD users. An expanded ICAD database was made available in May 2017. Conclusion The project to expand ICAD further demonstrates the feasibility of pooling data on physical activity, sedentary behaviour and potential determinants from multiple studies. Key to this process is the rigorous conduct and reporting of retrospective data harmonisation, which is essential to the appropriate analysis and interpretation of derived data. These documents, made available through the ICAD website, may also serve as a guide to others undertaking similar projects.http://link.springer.com/article/10.1186/s12966-017-0631-7Physical activitySedentary behaviourChildrenAdolescentsRetrospective harmonisationData pooling |
| spellingShingle | Andrew J. Atkin Stuart J. H. Biddle Stephanie T. Broyles Mai Chinapaw Ulf Ekelund Dale W. Esliger Bjorge H. Hansen Susi Kriemler Jardena J. Puder Lauren B. Sherar Esther M. F. van Sluijs On behalf of the International Children’s Accelerometry Database (ICAD) Collaborators Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) International Journal of Behavioral Nutrition and Physical Activity Physical activity Sedentary behaviour Children Adolescents Retrospective harmonisation Data pooling |
| title | Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) |
| title_full | Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) |
| title_fullStr | Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) |
| title_full_unstemmed | Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) |
| title_short | Harmonising data on the correlates of physical activity and sedentary behaviour in young people: Methods and lessons learnt from the international Children’s Accelerometry database (ICAD) |
| title_sort | harmonising data on the correlates of physical activity and sedentary behaviour in young people methods and lessons learnt from the international children s accelerometry database icad |
| topic | Physical activity Sedentary behaviour Children Adolescents Retrospective harmonisation Data pooling |
| url | http://link.springer.com/article/10.1186/s12966-017-0631-7 |
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