Evidence map›Paper›PMID 41168725›Full record

ArticleBMC public health2025

The recovery function of parasocial relationships for hopelessness on short-form video platforms: a moderated mediation study.

Xinzhou Xie, Yanjun Lin, Qiyu Bai

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Xinzhou Xie *School of New Media, Peking University, Beijing, 100871, China.
Yanjun Lin *State Key Laboratory of Media Convergence and Communication, Communication University of China, 100024, Beijing, China.
Qiyu BaiSchool of New Media, Peking University, Beijing, 100871, China. baiqiyu_pku@163.com.

Funding

National Natural Science Foundation of China 71633001National Natural Science Foundation of China 72304018Postdoctoral Research Support Program at the Communication University of China CUC24BH05
6 · The paper itself

Abstract

backgroundResearchers have long examined the relationship between media use and negative psychological states. However, the correlation between hopelessness, parasocial relationships, and self-identity/ well-being on short-form video platforms is unknown. Additionally, the perceived similarity's role in moderating these relationships has not been established.

methodsDrawing on the theoretical model for the development of parasocial relationships, we tested and confirmed the validity of a moderated mediation model, demonstrating how individuals experiencing hopelessness may obtain self-identity and well-being via the mediation of parasocial relationships and the moderation of perceived similarities on short-form video platforms.

resultsThe results of a survey among 2,902 users of short-form video platforms in China indicated that parasocial relationships mediated the relationship between hopelessness and self-identity/well-being. Perceived similarities had a significant moderation effect on the relationship between hopelessness and PSR and the indirect effect of perceived similarities on self-identity (or well-being).

conclusionUsers on short-form video platforms can autonomously derive positive health effects (self-identity/well-being) via PSRs. Perceived similarity exerted a moderating effect on the relationship between hopelessness and PSRs among individuals on short-form video platforms: the positive relationship between hopelessness and PSR is stronger for individuals with higher perceived similarities.

Indexed as

Interpersonal RelationsSelf ConceptSocial MediaAdolescentAdultChinaFemaleHumansMaleMediation AnalysisMiddle AgedSurveys and QuestionnairesYoung AdultHopelessnessParasocial relationshipPerceived similaritySelf-identityWell-being

Identifiers

PMID41168725
PMCPMC12573904

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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.