Evidence map›Paper›PMID 42724092›Full record

ArticleFrontiers in psychology2026

Algorithmic short-video music consumption and academic related functions: a three-wave longitudinal study of university students.

Jia Dong, Hailong Zhang, Jianjian Zhao, Ruikai Yuan

Abstract read
In one paragraph

Article in Frontiers in 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.

Jia DongNanjing Normal University, Nanjing, China.
Hailong ZhangLinzhou College of Architectural Technology, Linzhou, China.
Jianjian ZhaoAnshan Vocational and Technical College, Anshan, China.
Ruikai YuanSoutheast Univeristy, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Short-video platforms have become deeply embedded in Chinese university students' daily routines, and the music delivered through algorithmically curated short clips differs in important ways from traditional, self-selected music listening. Methods: The present study tested whether algorithm-driven short-video music consumption is prospectively associated with attentional control, academic procrastination, and academic flow across one academic term. A three-wave longitudinal survey was conducted across one academic term, with measurement intervals of approximately 6 weeks. Chinese university students ( Results: The results indicated that higher short-video music consumption prospectively predicted lower attentional control across both intervals ( Discussion: The findings highlight the value of distinguishing intentional music listening from algorithmically delivered short-video music consumption when considering students' academic self-regulation in contemporary digital media environments.

Indexed as

academic flowacademic procrastinationattentional controlChinesecross-lagged panel modelshort-video music consumptionuniversity students

Identifiers

PMID42724092
PMCPMC13558422

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.