Evidence map›Paper›PMID 37608360›Full record

ArticleBMC psychiatry2023

The influence of media use degree on public depressive symptoms: mediating role of big five personality.

Fangmin Gong, Yuhan Jia, Xinying Sun, Hewei Min, Xiaocen Jia, Fei Wang, Xincheng Huang, Xin Lin, Zheming Li, Yibo Wu

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

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Fangmin GongSchool of Literature and Journalism Communication, Jishou University, Jishou, China.
Yuhan JiaSchool of Literature and Journalism Communication, Jishou University, Jishou, China. jiayuhan@stu.jsu.edu.cn.ORCID http://orcid.org/0000-0002-8579-5783
Xinying SunSchool of Public Health, Peking University, Beijing, China.
Hewei MinSchool of Public Health, Peking University, Beijing, China.
Xiaocen JiaSchool of Public Health, Qingdao University, Qingdao, China.
Fei WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xincheng HuangSchool of Economics and Management, Beijing Institute of Graphic Communication, Beijing, China.
Xin LinDepartment of Stomatology, North Sichuan Medical College, Sichaun, China.
Zheming LiSchool of basic medicine, Peking University Health Science Center, Beijing, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China. wuyibo@bjmu.edu.cn.ORCID http://orcid.org/0000-0001-9607-313X
Peking University · CNJishou University · CNBeijing Institute of Graphic Communication · CNBeijing Normal University · CNNorth Sichuan Medical University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMixed results have been found regarding the relationship between media use degree and depressive symptoms. The purpose of this study is to explore the relationship between media use degree, big five personality and depressive symptoms with a mediation model.

methodThis was a cross-sectional study. With 9-item Patient Health Questionnaire (PHQ-9), 10-item Big Five Inventory (BFI-10) and self-designed media usage scale, 11,031 participants aged 12 and above in 120 cities in China were collected. Pearson correlation analysis and regression analysis were performed on the data. The Process plug-in was used to construct the mediation model and explore the relationship among media use degree, big five personality and depressive symptoms. The nonparametric percentile Bootstrap method was used to test the mediating effect of personality traits.

resultsThe degree of media use was positively correlated with depressive symptoms (r = 0.20, P < 0.001), and big five personality played a mediating role between the degree of media use and depressive symptoms. Among five traits, extroversion (r=-0.12, P < 0.001), conscientiousness (r=-0.23, P < 0.001), openness (r=-0.03, P < 0.01) and agreeableness (r=-0.22, P < 0.001) were negatively correlated with depressive symptoms, and neuroticism (r = 0.25, P < 0.001) were positively correlated with depressive symptoms. In addition, extraversion (-0.004, -0.001), conscientiousness (-0.015, -0.008), agreeableness (-0.008, -0.001) and neuroticism (-0.015, -0.007) in big five personality played a mediating role between media use and depressive symptoms.

conclusionThe degree of media use positively predicted depressive symptoms, and excessive media use may bring risks to mental health. People with high neuroticism, low agreeableness, low conscientiousness and low extroversion are more likely to suffer from depressive symptoms.

Indexed as

DepressionPersonalityCross-Sectional StudiesHumansNeuroticismPersonality DisordersBig five personalityDepressive symptomsMediation modelMedia useRegression analysis

Identifiers

PMID37608360
PMCPMC10463842
OpenAlexW4386069906

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.