ArticleHeliyon2025
Open-source code for analysis of the lifetime total physical activity questionnaire (LTPAQ).
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.