Evidence map›Paper›PMID 40792009›Full record

ArticlePeerJ2025

Unveiling the mental state: validating the uBioMacpa Pro stress measurement tool among Chinese college students.

Mingzhu Pan, Xinxing Li, Liying Yao, Solomon Gbene Zaato, Yee Cheng Kueh, Garry Kuan

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingzhu PanExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Xinxing LiDepartment of Physical Education, Seoul National University, Seoul, Republic of South Korea.
Liying YaoSchool of Physical Education, Shangrao Normal University, Shangrao, China.
Solomon Gbene ZaatoAkenten Appiah, Menka University of Skills Training and Entrepreneurial Development (AAMUSTED), Kumasi, Ghana.
Yee Cheng KuehBiostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Malaysia.
Garry KuanExercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental stress is a significant contributor to various health issues, including cardiovascular disease, anxiety, and depression. Scholars have developed many tools and methods to evaluate psychological stress states. uBioMacpa Pro is one of the measuring meters that evaluates accumulated stress by measuring heart rate variability (HRV). This study uses reliability and validity tests to validate uBioMacpa Pro among Chinese college students. A total of 260 students (females = 146, males = 114) with a mean age of 21 years (SD = 1.48, 1.51) were volunteers and recruited in the reliability and validity tests, respectively. The heart rate variability parameters showed satisfactory test-retest and inter-rater reliability, with the most intraclass correlation coefficient (ICC) values exceeding the acceptable threshold of 0.75. Validity assessment was done by exploring concurrent validity that measured the psychological stress of college students by using uBioMacpa Pro and using the validated Chinese version of the Stress Scales for College Students (C-SSCS) as a reference. The result showed a significant correlation between the uBioMacpa Pro stress index and C-SSCS questionnaire scores (

Indexed as

Heart RateStress, PsychologicalStudentsAdolescentAdultChinaFemaleHumansMaleReproducibility of ResultsSurveys and QuestionnairesUniversitiesYoung AdultCollege studentsHeart rate variabilityMental stressuBioMacpa Pro

Identifiers

PMID40792009
PMCPMC12338056

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.