Evidence map›Paper›PMID 40134973›Full record

ArticleFrontiers in psychiatry2025

Exploring the relation between media usage frequency and anxiety among Chinese residents: a latent profile analysis.

Yi Guo, Zhuliu Gong, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang and 3 more

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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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

13 authors.

Yi GuoSchool of Journalism and Communication, Chongqing University, Chongqing, China.
Zhuliu GongSchool of Journalism and Communication, Chongqing University, Chongqing, China.
Ziyi ZhangSchool of Stomatology, North Sichuan Medical College, Nanchong, Sichuan, China.
Baotong MaSchool of Management, Hainan Medical University, , Haikou, China.
Ruitong XiaSchool of Humanities and Foreign Languages, Qingdao University of Technology, Qingdao, China.
Yuanwei LuSchool of Management, North Sichuan Medical College, Nanchong, China.
Jingwen LiuSchool of Nursing, Shanxi Medical University, Taiyuan, China.
Hanjia XinSchool of Nursing, Nanchang University, Nanchang, China.
Yumeng CaoDepartment of Stomatology, Jitang College of North China University of Science and Technology, Tangshan, China.
Saier YangSchool of Geriatric Nursing and Wellness, Tianfu College of Southwestern University of Finance and Economic, Chengdu, China.
Runqing LiSchool of Philosophy and Social Development, Shandong University, Jinan, China.
Yi LiuCollege of Mechanical and Electrical Engineering, Qingdao Binhai University, Qingdao, China.
Siyuan FanDepartment of Preventive Medicine, Yanjing Medical College, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the relationship between media usage patterns and anxiety levels, specifically examining how different media usage profiles influence anxiety across various demographic groups. Methodology: A total of 11,031 respondents from 120 cities across China were classified into three media usage profiles-Traditional Media-Dominant Users, New Media-Dominant Users, and Omni-Media Users-using Latent Profile Analysis (LPA) based on their media usage frequency. Demographic covariates were excluded during the initial profiling to ensure the analysis focused solely on media usage patterns. Multiple linear regression analyses were then conducted to examine the relationship between media usage types and anxiety levels. Finally, factors influencing anxiety across the different media usage profiles were explored separately. Results: The analysis revealed that both Traditional Media-Dominant and Omni-Media Users exhibited significantly higher levels of anxiety compared to New Media-Dominant Users. Factors such as geographic region, health literacy, income, debt, employment stability, and property ownership showed varying effects on anxiety across the profiles. Additionally, perceived stress and depression were identified as consistent, positive predictors of anxiety in all media usage groups. Conclusions: Compared to New Media-Dominant Users, both Traditional Media-Dominant and Omni-Media Users exhibited stronger associations with anxiety. These findings suggest that anxiety is influenced by multiple intersecting factors across media usage profiles, highlighting the need for tailored interventions that consider individuals' specific media engagement patterns.

Indexed as

anxietydepressionhealth literacymedia usepublic health

Identifiers

PMID40134973
PMCPMC11933084

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