Evidence map›Paper›PMID 41593114›Full record

ArticleScientific reports2026

A cross-sectional study exploring academic motivation among rehabilitation science students under different teaching approaches in China.

Huiling Hu, Hongmei Luo

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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

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

2 authors.

Huiling HuDepartment of Rehabilitation Medicine, Second Xiangya Hospital of Central South University, Changsha, China. hhl0628@126.com.
Hongmei LuoHealth Science Center, Hunan Normal University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese-foreign cooperative programs are increasingly important in rehabilitation education in mainland China. This study examined the academic motivation of final-year rehabilitation students and the associated factors, including teaching approach, gender, specific interests, and sleep habits. A cross-sectional online survey was conducted at Changsha Social Work College, including students from both domestic and cooperative programs. Academic motivation was assessed using the Academic Motivation Scale-College version in Chinese. In total, 79 domestic students and 32 cooperative students provided valid responses. A higher proportion of students in the cooperative program reported having specific interests (81.3% vs. 48.1%, χ² = 10.25, p < 0.01), whereas a lower proportion reported regular nap habits (53.1% vs. 75.9%, χ² = 5.58, p < 0.05) compared with students in the domestic program. Cooperative students had higher Self-Determined Index (SDI) scores than domestic students (6.38 ± 4.84 vs. 3.34 ± 4.43, T = 3.18, p < 0.01). Students with specific interests also had higher SDI scores (5.60 ± 4.74 vs. 2.33 ± 4.07, T = 3.81, p < 0.01). Multiple linear regression analysis indicated that the cooperative program (B = 2.11, 95% CI: 0.16 to 4.11, p < 0.05) and having specific interests (B = 2.69, 95% CI: 0.90 to 4.49, p < 0.01) were significantly associated with higher academic motivation. Gender, BMI, and sleep habits were not significantly associated with SDI scores.

Indexed as

MotivationRehabilitationStudentsTeachingAcademiaAdultChinaCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesYoung AdultAcademic motivationChinaEducational psychologyHigher educationRehabilitation education

Identifiers

PMID41593114
PMCPMC12848025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.