Evidence map›Paper›PMID 42169102›Full record

ArticleBMC psychology2026

Classroom demands and resources and emotional labour strategies in Chinese after-school programs.

Aonan Peng, Yue Song, Jiayan Zeng, Chenggang Wu

Abstract read
In one paragraph

Article in BMC psychology, 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

4 authors.

Aonan Peng *School of Education, Central China Normal University, Hubei, China.
Yue Song *School of Teacher Education, Dali University, Room 502, Unit 2, Building4, Heyuan, Hongsheng Road NO2, Gucheng Campus, Yunnan, Dali, China.
Jiayan Zeng *School of Teacher Education, Dali University, Room 502, Unit 2, Building4, Heyuan, Hongsheng Road NO2, Gucheng Campus, Yunnan, Dali, China. friendly972005@sina.com.
Chenggang WuKey Laboratory of Multilingual Education with AI, School of Education, Shanghai International Studies University, Room 1332,1550 Wenxiang Road, Songjiang, Shanghai, China. chenggangwu@shisu.edu.cn.

Funding

2023 National Social Science Fund Education West Project BMX2303449th Education and Teaching Reform Project of Dali University JG09232Scientific Research Startup Fund of Dali University KY2396123040
6 · The paper itself

Abstract

Using the Classroom Appraisal of Resources and Demands (CARD), this study investigated the relationships between classroom demands and resources and emotional labor strategies among 259 full-time teachers participating in after-school programs in mainland China. Results showed that these teachers generally perceived higher demands than resources. Administrative demands emerged as the primary stressors, while general program resources offered the most support. Furthermore, emotional labor strategies differed significantly based on perceived demands and resources. Higher demands correlated with increased surface acting and reduced genuine expression, whereas greater resources was associated with more authentic emotional expression. Further analysis indicated that children with special needs, administrative demands, and the presence of additional adult predicted deep acting. These findings emphasize the importance of providing adequate resources and reducing administrative demands to support teachers' emotional well-being in after-school programs. Practical implications and directions for future research are discussed.

Indexed as

EmotionsSchoolsSchool TeachersStress, PsychologicalChinaCoping SkillsHumansAfter-school programsClassroom appraisal of resources and demandsTeacher emotional labor strategies

Identifiers

PMID42169102
PMCPMC13366954

What OpenQuestion holds

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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.