Evidence map›Paper›PMID 41315450›Full record

ArticleScientific reports2025

Supporting the behavioral health of rural left-behind children through rural education: a multi-dimensional demands-driven strategy study.

Boming Zeng, Zhaomei Deng, Li Zeng, Xing Mao

Abstract read
In one paragraph

Article in Scientific reports, 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

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.

Boming ZengSchool of Educational Science, Hunan Normal University, Changsha, 410081, Hunan, China.
Zhaomei DengSchool of Primary Education, Fuzhou Preschool Education College, Fuzhou, 344000, Jiangxi, China.
Li ZengSchool of Primary Education, Fuzhou Preschool Education College, Fuzhou, 344000, Jiangxi, China.
Xing MaoSchool of Arts and Design, Suzhou University, Suzhou, 234000, Anhui, China. maoxing@student.usm.my.

Funding

Humanities and Social Sciences Research Project of Jiangxi Provincial Universities JXJG-23-107-1
6 · The paper itself

Abstract

Rapid economic development and accelerated urbanization have prompted large numbers of rural adults to migrate to cities for better job opportunities, leaving a large population of rural school-age children behind in their hometowns. The absence of parental affection and the breakdown of family functions have created significant challenges for the behavioral health of left-behind children, placing a crucial responsibility on rural education. This study employed semi-structured interviews and questionnaires to identify the demands of rural education among left-behind children. Applying the Kano model to analyze these demands revealed that, among 25 demand indicators, 6 were classified as must-be quality, 8 as one-dimensional quality, 6 as attractive quality, and 5 as indifferent quality. Subsequently, the AHP was used to identify the weight of each demand indicator. The study results identified and ranked the key demands in rural education that support the behavioral health of left-behind children, providing a basis for rural schools and teachers to formulate targeted strategies, and offering an operational pathway for promoting the behavioral health of left-behind children from the perspective of demand, thereby advancing the sustainable development of both the behavioral health of left-behind children and the rural education system.

Indexed as

Mental HealthRural PopulationAdultChildFemaleHumansMaleSchoolsSurveys and QuestionnairesBehavioral healthKano modelLeft-behind childrenRural education

Identifiers

PMID41315450
PMCPMC12663203

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.