Evidence map›Paper›PMID 36763335›Full record

ArticleJournal of behavioral addictions2023

Bridging the links between Big Five personality traits and problematic smartphone use: A network analysis.

Chang Liu, Lei Ren, Kristian Rotaru, Xufeng Liu, Kuiliang Li, Wei Yang, Ye Li, Xinyi Wei, Murat Yücel, Lucy Albertella

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

24 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Chang Liu1BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.ORCID 0000-0003-0324-8151
Lei Ren2School of Military Medical Psychology, Fourth Military Medical University, Xi'an, China.ORCID 0000-0002-5770-3271
Kristian Rotaru1BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.ORCID 0000-0003-2570-2044
Xufeng Liu2School of Military Medical Psychology, Fourth Military Medical University, Xi'an, China.
Kuiliang Li4School of Psychology, Army Medical University, Chongqing, China.ORCID 0000-0002-1653-5419
Wei Yang5Psychological Counselling Centre, Xijing University, Xi'an, China.
Ye Li5Psychological Counselling Centre, Xijing University, Xi'an, China.
Xinyi Wei6Department of Psychology, Renmin University of China, Beijing, China.
Murat Yücel1BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.ORCID 0000-0002-4705-452X
Lucy Albertella1BrainPark, Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, Australia.ORCID 0000-0001-5232-6414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Existing research has demonstrated that problematic smartphone use (PSU) may reflect a composition of heterogeneous symptoms, with individual PSU symptoms uniquely related to predisposing variables. The Big Five personality traits represent one of the most frequently examined predisposing variables in relation to PSU. However, no studies to date have examined the trait-to-symptom association between the Big Five personality traits and PSU. Using a network analysis approach, we aimed to understand: 1) specific pathways linking each of the Big Five personality traits to PSU symptoms and 2) the bridging effects of each Big Five personality trait on the PSU symptom cluster. Methods: A regularised graphical Gaussian model was estimated among 1,849 Chinese university students. PSU symptoms were assessed with items from the Problematic Smartphone Use Scale. Facets of the Big Five personality traits were assessed with the subscales of the Chinese Big Five Personality Inventory-15. An empirical index (i.e., bridge expected influence) was used to quantify bridge nodes. Results: Results revealed specific and distinct pathways between the Big Five personality traits and PSU symptoms (e.g., Neuroticism-Escapism/Avoidance, Conscientiousness-Preoccupation and Extraversion-Escapism/Avoidance). Further, Neuroticism showed the highest positive bridge centrality among the Big Five personality traits, while Conscientiousness had the highest negative bridge centrality. Discussion and conclusions: The current study provided direct empirical evidence concerning specific pathways between the Big Five personality traits and PSU symptoms and highlighted the influential role of Neuroticism and Conscientiousness as potential targets for early detection and treatment of PSU.

Indexed as

PersonalitySmartphoneExtraversion, PsychologicalHumansNeuroticismPersonality InventoryBig Five personality traitsnetwork analysisproblematic smartphone use

Identifiers

PMID36763335
PMCPMC10260210

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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.