Evidence map›Paper›PMID 36733883›Full record

ArticleFrontiers in psychology2022

Media use degree and depression: A latent profile analysis from Chinese residents.

Fangmin Gong, Pei Yi, Lian Yu, Siyuan Fan, Guangze Gao, Yile Jin, Leixiao Zeng, Yang Li, Zheng Feei Ma

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 7 institutions in 2 countries.

Fangmin GongCollege of Literature and Journalism Communication, Jishou University, Jishou, China.
Pei YiCollege of Literature and Journalism Communication, Jishou University, Jishou, China.
Lian YuCollege of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Siyuan FanDepartment of Preventive Medicine, Yanjing Medical College, Capital Medical University, Beijing, China.
Guangze GaoTongliao Clinical College, Inner Mongolia Medical University, Tongliao, China.
Yile JinBaotou Clinical College, Inner Mongolia Medical University, Baotou, China.
Leixiao ZengCollege of Journalism and Communication, Renmin University of China, Beijing, China.
Yang LiCollege of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China.
Zheng Feei MaCentre for Public Health and Wellbeing, School of Health and Social Wellbeing, College of Health, Science and Society, University of the West of England, Bristol, United Kingdom.
Inner Mongolia Medical University · CNJishou University · CNCapital Medical University · CNRenmin University of China · CNUniversity of Shanghai for Science and Technology · CNUniversity of the West of England · GBXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have emphasized the media as an essential channel for understanding information about depression. However, they have not divided groups according to the degree of media use to study their differences in depression. Therefore, this study aims to explore the influence of media use on depression and the influencing factors of depression in people with different media use degrees. Methods: Based on seven items related to media use, a total of 11, 031 respondents were categorized by the frequency of media use using latent profile analysis (LPA). Secondly, multiple linear regression analyzes were conducted to analyze the effects of depression in people with different degrees of media use. Finally, factors influencing depression among people with different degrees of media use were explored separately. Results: All respondents were classified into three groups: media use low-frequency (9.7%), media use general (67.1%), and media use high-frequency (23.2%). Compared with media use general group, media use low-frequency ( Conclusion: The government and the appropriate departments should develop targeted strategies for improving the overall health status of people with different media use degrees.

Indexed as

Big Five personalitycross-sectional studydepressionlatent profile analysismedia use

Identifiers

PMID36733883
PMCPMC9887043
OpenAlexW4316669357

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.