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ArticleOccupational therapy international2025

Occupational Therapy-Based Physical Activity Questionnaire (OTBPAQ) Categorization of Physical Activity Composition Ratios of Older Individuals Living in the Community.

Daisuke Tashiro, Masahiro Ogawa, Makoto Otaki, Toshimichi Nakamae, Takako Morikawa, Jumpei Oba

Abstract read
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Article in Occupational therapy international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daisuke TashiroDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0000-0002-8003-8230
Masahiro OgawaDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0000-0003-0649-3822
Makoto OtakiDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0009-0009-6177-2278
Toshimichi NakamaeDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0000-0002-3883-2836
Takako MorikawaDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0009-0009-1110-6867
Jumpei ObaDepartment of Occupational Therapy, Faculty of Rehabilitation, Kobe Gakuin University, Kobe, Hyogo, Japan, kobegakuin.ac.jp.ORCID https://orcid.org/0009-0001-3769-3897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study is aimed at calculating and categorizing the composition ratios of physical activity categories in relation to total daily physical activity among older adults living in a community using the Occupational Therapy-Based Physical Activity Questionnaire (OTBPAQ) and at examining their characteristics. Participants and Methods: The survey used the OTBPAQ to evaluate the composition of physical activity categories as well as a questionnaire on participant characteristics (sex, age, presence of family members, subjective well-being, hobbies and activities, physical pain, frailty, and physical activity). The OTBPAQ was developed as an evaluation chart concerning the "occupation" category. Subsequently, cluster analysis was conducted based on the composition ratios of physical activity categories in relation to total daily physical activity, and the relevance of the participant characteristics was confirmed for each extracted group. Results: A total of 499 participants were allocated using cluster analysis into five groups, namely, "balance-oriented group," "aerobic exercise group," "shopping group," "sports group," and "recreational gymnastics group," based on the main activity categories of each cluster. Results showed that participant characteristics, such as the amount of physical activity and number of physical activity categories, differed among the clusters. Conclusion: The OTBPAQ could extract five clusters of older adults in a community based on the composition ratio of physical activity categories. Examining the composition ratio of physical activity categories can facilitate a highly individualized approach to physical activity for each group, leading to more effective care prevention measures to increase healthy life expectancy.

Indexed as

ExerciseIndependent LivingOccupational TherapyActivities of Daily LivingAgedAged, 80 and overCluster AnalysisFemaleHumansMaleMiddle AgedSurveys and QuestionnairesfrailtyKihon checklistoccupationphysical activity

Identifiers

PMID41480251
PMCPMC12755903

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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.