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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Authors: Sánchez Martín, Coral, Rantalainen , Timo, Rodríguez Gómez, Irene, Leal Martín, Javier, Alegre Durán, Luis María, Ara Royo, Ignacio
Format: article
Publication Date:2025
Country:España
Institution:Universidad de Castilla-La Mancha
Repository:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/41346
Online Access:https://hdl.handle.net/10578/41346
Access Level:Open access
Keyword:Assessment
Energy expenditure
GitHub
Lifespan
MATLAB script
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spelling Open-source code for analysis of the Lifetime Total Physical Activity Questionnaire (LTPAQ).Sánchez Martín, CoralRantalainen , TimoRodríguez Gómez, IreneLeal Martín, JavierAlegre Durán, Luis MaríaAra Royo, IgnacioAssessmentEnergy expenditureGitHubLifespanMATLAB scriptAdvancing 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. 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 LTPAQs 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.Elsevier202520252025info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://hdl.handle.net/10578/41346reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/413462026-05-27T07:36:41Z
dc.title.none.fl_str_mv Open-source code for analysis of the Lifetime Total Physical Activity Questionnaire (LTPAQ).
title Open-source code for analysis of the Lifetime Total Physical Activity Questionnaire (LTPAQ).
spellingShingle Open-source code for analysis of the Lifetime Total Physical Activity Questionnaire (LTPAQ).
Sánchez Martín, Coral
Assessment
Energy expenditure
GitHub
Lifespan
MATLAB script
title_short 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_sort Open-source code for analysis of the Lifetime Total Physical Activity Questionnaire (LTPAQ).
dc.creator.none.fl_str_mv Sánchez Martín, Coral
Rantalainen , Timo
Rodríguez Gómez, Irene
Leal Martín, Javier
Alegre Durán, Luis María
Ara Royo, Ignacio
author Sánchez Martín, Coral
author_facet Sánchez Martín, Coral
Rantalainen , Timo
Rodríguez Gómez, Irene
Leal Martín, Javier
Alegre Durán, Luis María
Ara Royo, Ignacio
author_role author
author2 Rantalainen , Timo
Rodríguez Gómez, Irene
Leal Martín, Javier
Alegre Durán, Luis María
Ara Royo, Ignacio
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Assessment
Energy expenditure
GitHub
Lifespan
MATLAB script
topic Assessment
Energy expenditure
GitHub
Lifespan
MATLAB script
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. 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 LTPAQs 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.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10578/41346
url https://hdl.handle.net/10578/41346
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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