Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ)
Advancing research to understand the impact of lifetime physical activity patterns on health is essential. While some progress on the topic has been made, further research is nevertheless warranted. Openly accessible operational resources for processing and analysing longitudinal physical activity d...
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Elsevier
2025-01-01
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author | Coral Sánchez-Martín Javier Leal-Martín Timo Rantalainen Irene Rodríguez-Gómez Luis M. Alegre Ignacio Ara |
author_facet | Coral Sánchez-Martín Javier Leal-Martín Timo Rantalainen Irene Rodríguez-Gómez Luis M. Alegre Ignacio Ara |
author_sort | Coral Sánchez-Martín |
collection | DOAJ |
description | Advancing research to understand the impact of lifetime physical activity patterns on health is essential. While some progress on the topic has been made, further research is nevertheless warranted. Openly accessible operational resources for processing and analysing longitudinal physical activity data would help advance the field. The Lifetime Total Physical Activity Questionnaire (LTPAQ) provides an in-depth and detailed record of occupational/volunteer, household and recreational physical activities conducted across the lifespan. Despite the authors describing a specific code for physical activity data processing, its lack of comprehensiveness hinders its implementation by researchers or health professionals with limited programming or software expertise. For this purpose, we aimed to develop an open-source MATLAB code to simplify data handling and enhance comparability between studies using the LTPAQ. The source code of the LTPAQ analysis is accessible on our Git repository (https://github.com/coralsanchezmartin/LTPAQ_MATLAB_code). This code automates data handling, ensuring efficiency and facilitating adaptability. Moreover, it interacts seamlessly with Microsoft Excel sheets, providing a user-friendly interface for data input, storage, and organisation. This approach, combined with ongoing efforts to refine the code, seeks to overcome LTPAQ's scoring complexities, and promote a standardised methodology. By facilitating the processing of physical activity data from this questionnaire, our tool is expected to encourage its application in epidemiological studies and foster new insights into the impact of lifestyle from a life course perspective, ultimately playing a crucial role in shaping public health policies and enhancing clinical practice. |
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institution | Kabale University |
issn | 2405-8440 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
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spelling | doaj-art-d05511bddf9b40a8908c30f7cc6ec2912025-02-02T05:29:02ZengElsevierHeliyon2405-84402025-01-01112e42154Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ)Coral Sánchez-Martín0Javier Leal-Martín1Timo Rantalainen2Irene Rodríguez-Gómez3Luis M. Alegre4Ignacio Ara5GENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Grupo Mixto de Fragilidad y Envejecimiento Exitoso UCLM-SESCAM, Universidad de Castilla-La Mancha-Servicio de Salud de Castilla-La Mancha, IDISCAM, Toledo, SpainGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Grupo Mixto de Fragilidad y Envejecimiento Exitoso UCLM-SESCAM, Universidad de Castilla-La Mancha-Servicio de Salud de Castilla-La Mancha, IDISCAM, Toledo, SpainGerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, FinlandGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Grupo Mixto de Fragilidad y Envejecimiento Exitoso UCLM-SESCAM, Universidad de Castilla-La Mancha-Servicio de Salud de Castilla-La Mancha, IDISCAM, Toledo, Spain; IGOID Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, SpainGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Grupo Mixto de Fragilidad y Envejecimiento Exitoso UCLM-SESCAM, Universidad de Castilla-La Mancha-Servicio de Salud de Castilla-La Mancha, IDISCAM, Toledo, SpainGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain; Centro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain; Grupo Mixto de Fragilidad y Envejecimiento Exitoso UCLM-SESCAM, Universidad de Castilla-La Mancha-Servicio de Salud de Castilla-La Mancha, IDISCAM, Toledo, Spain; Corresponding author. GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Avda. Carlos III s/n, 45071, Toledo, Spain.Advancing research to understand the impact of lifetime physical activity patterns on health is essential. While some progress on the topic has been made, further research is nevertheless warranted. Openly accessible operational resources for processing and analysing longitudinal physical activity data would help advance the field. The Lifetime Total Physical Activity Questionnaire (LTPAQ) provides an in-depth and detailed record of occupational/volunteer, household and recreational physical activities conducted across the lifespan. Despite the authors describing a specific code for physical activity data processing, its lack of comprehensiveness hinders its implementation by researchers or health professionals with limited programming or software expertise. For this purpose, we aimed to develop an open-source MATLAB code to simplify data handling and enhance comparability between studies using the LTPAQ. The source code of the LTPAQ analysis is accessible on our Git repository (https://github.com/coralsanchezmartin/LTPAQ_MATLAB_code). This code automates data handling, ensuring efficiency and facilitating adaptability. Moreover, it interacts seamlessly with Microsoft Excel sheets, providing a user-friendly interface for data input, storage, and organisation. This approach, combined with ongoing efforts to refine the code, seeks to overcome LTPAQ's scoring complexities, and promote a standardised methodology. By facilitating the processing of physical activity data from this questionnaire, our tool is expected to encourage its application in epidemiological studies and foster new insights into the impact of lifestyle from a life course perspective, ultimately playing a crucial role in shaping public health policies and enhancing clinical practice.http://www.sciencedirect.com/science/article/pii/S2405844025005341LifespanEnergy expenditureAssessmentMATLAB scriptGitHub |
spellingShingle | Coral Sánchez-Martín Javier Leal-Martín Timo Rantalainen Irene Rodríguez-Gómez Luis M. Alegre Ignacio Ara Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) Heliyon Lifespan Energy expenditure Assessment MATLAB script GitHub |
title | Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) |
title_full | Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) |
title_fullStr | Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) |
title_full_unstemmed | Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) |
title_short | Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ) |
title_sort | open source code for analysis of the lifetime total physical activity questionnaire ltpaq |
topic | Lifespan Energy expenditure Assessment MATLAB script GitHub |
url | http://www.sciencedirect.com/science/article/pii/S2405844025005341 |
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