TY - JOUR
T1 - Harmonising data on the correlates of physical activity and sedentary behaviour in young people
T2 - Methods and lessons learnt from the international Children's Accelerometry database (ICAD)
AU - Atkin, Andrew J.
AU - Biddle, Stuart J.H.
AU - Broyles, Stephanie T.
AU - Chinapaw, Mai
AU - Ekelund, Ulf
AU - Esliger, Dale W.
AU - Hansen, Bjorge H.
AU - Kriemler, Susi
AU - Puder, Jardena J.
AU - Sherar, Lauren B.
AU - van Sluijs, Esther M.F.
AU - Andersen, L. B.
AU - Anderssen, S.
AU - Cardon, G.
AU - Davey, R.
AU - Hallal, P.
AU - Janz, K. F.
AU - Møller, N.
AU - Molloy, L.
AU - Page, A.
AU - Pate, R.
AU - Reilly, J.
AU - Salmon, J.
AU - Sardinha, L. B.
AU - Timperio, A.
N1 - Funding Information:
The pooling of the data was funded through a grant from the National Prevention Research Initiative (Grant Number: G0701877) (http:// www.mrc.ac.uk/research/initiatives/national-prevention-research-initiative-npri/). The funding partners relevant to this award are: 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; 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 (249,932/F20), Bristol University, Loughborough University and the Norwegian School of Sport Sciences. The work of Andrew J Atkin and Esther M F van Sluijs was supported, wholly or in part, by the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence (RES-590-28-0002). Funding from the British Heart Foundation, Department of Health, Economic and Social Research Council, Medical Research Council, and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged. The work of Esther MF van Sluijs was supported by the Medical Research Council (MC_UU_12015/7).
Funding Information:
A collaboration between the Medical Research Council (MRC) Epidemiology Unit and the universities of Bath and Bristol, ICAD was established in 2008 with funding from the UK National Prevention Research Initiative. Building upon the increasing use of accelerometry in physical activity research, ICAD was devised to enhance understanding in 3 key areas: 1) Levels and patterns of physical activity in children from diverse, social and geographic backgrounds; 2) social, cultural, ethnic and geographical determinants of physical activity; 3) dose-response relationships between components of physical activity and a range of health outcomes. Twenty studies were recruited to join ICAD and deposited data for processing between September 2008 and May 2010. All provided a signed agreement for the inclusion of study data in ICAD. The pooling strategy required all contributors to submit raw (unprocessed) accelerometer data and related non-accelerometer files, along with accompanying questionnaires and protocols, to a single location for processing and merging. As a minimum, partners were required to share their accelerometer data and information on participants’ sex, age, height and weight, but were free thereafter to submit as much or as little additional data as they wished. Background information and details on the processing of accelerometer data for this iteration of ICAD has been reported previously. [31] Currently, day to day management and administration of ICAD is undertaken by the Working Group (AJA, UE, DWE, BHH, LBS, EMFvS), comprising representatives from the University of East Anglia, Loughborough University, the Norwegian School of Sport Sciences and the MRC Epidemiology Unit. Scientific oversight is provided by the Steering Committee, which comprises representatives from all contributing partners and the Working Group. The MRC Epidemiology Unit (University of Cambridge, UK) manages the database and data releases. Through a managed application process, ICAD data are available for use by any bona fide researcher. [35] Further details on the management of ICAD, contributing partners and the application process are available on the ICAD website (http://www.mrc-epid.cam.ac.uk/research/ studies/icad/).
Publisher Copyright:
© 2017 The Author(s).
PY - 2017/12/20
Y1 - 2017/12/20
N2 - 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.
AB - 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.
KW - Adolescents
KW - Children
KW - Data pooling
KW - ICAD
KW - Physical activity
KW - Retrospective harmonisation
KW - Sedentary behaviour
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U2 - 10.1186/s12966-017-0631-7
DO - 10.1186/s12966-017-0631-7
M3 - Article
C2 - 29262830
AN - SCOPUS:85038626012
SN - 1479-5868
VL - 14
JO - International Journal of Behavioral Nutrition and Physical Activity
JF - International Journal of Behavioral Nutrition and Physical Activity
IS - 1
M1 - 174
ER -