Evidence map›Paper›PMID 32904054›Full record

ArticleJournal of exercise science and fitness2021

Cross-cultural modifications and measurement properties of the CHAMPS questionnaire among Chinese older adults.

Yanan Zhao, Qianwen Wang, Pak-Kwong Chung, Keshu Cai

Abstract read
In one paragraph

Article in Journal of exercise science and fitness, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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.

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

4 authors.

Yanan ZhaoSchool of Sports Science and Physical Education, Nanjing Normal University, Nanjing, Jiangsu, 210097, China.
Qianwen WangSchool of Sports Science and Physical Education, Nanjing Normal University, Nanjing, Jiangsu, 210097, China.
Pak-Kwong ChungDepartment of Sport and Physical Education, Hong Kong Baptist University, Hong Kong, China.
Keshu CaiDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveThe Community Health Activities Model Program for Seniors questionnaires (CHAMPS-Q) is one of the most extensively used instruments in assessing physical activity among older adults. However, no study had translated the CHAMPS-Q into Chinese, and no evaluations were made on the psychometric properties of the CHAMPS-Q among the Chinese population. Considering cultural differences in perceptions of language, cultural context and living habits, this study was of necessary to 1) translate and cross-culturally adapt the original CHAMPS-Q, and 2) examine the test-retest reliability and construct/predictive validity of the Chinese version of the CHAMPS-Q.

methodsThe English CHAMPS-Q was first translated into Chinese, synthesized, back-translated, and revised by an expert committee according to the pre-test results. The Chinese CHAMPS-Q was then assessed in a cross-sectional study consisting of 101 apparently healthy older adults. Test-retest reliability test was conducted with 7 days apart. The construct validity of the Chinese CHAMPS-Q was tested against accelerometer data, and the predictive validity was assessed against physical fitness as measured by the Senior Fitness Test.

resultsThe Chinese CHAMPS-Q has moderate to excellent test-retest reliability (

conclusionThe Chinese CHAMPS-Q has excellent test-retest reliability and acceptable construct and predictive validity in assessing the physical activity of Chinese older adults.

Indexed as

AgedEnergy metabolismExerciseReproducibility of results

Identifiers

PMID32904054
PMCPMC7452187

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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.