Evidence map›Paper›PMID 39289640›Full record

ArticleBMC psychiatry2024

The associations among type D personality and nomophobia, metacognitions about smartphone use, smartphone addiction in Chinese university freshmen: a two-wave study.

Yuntian Xie, Siyi Luo

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Yuntian XieDepartment of Applied Psychology, Changsha Normal University, Changsha, China. xieyuntian2008@163.com.
Siyi LuoDepartment of Applied Psychology, Changsha Normal University, Changsha, China.

Funding

Philosophy and Social Science Foundation of Hunan Province 23YBJ08
6 · The paper itself

Abstract

objectiveThis study aimed to examine longitudinal associations of Type D personality and smartphone addiction, while also exploring the mediating roles of nomophobia and metacognitions about smartphone use.

methodsType D Personality Scale-14 (T1), Nomophobia Questionnaire (T2), Metacognitions about Smartphone Use Questionnaire (T2) and Smartphone Addiction Scale Short Version (T2) were applied at two time points. 653 university freshmen (M

results(1) Type D personality was significantly and positively correlated with nomophobia, negative metacognition, and smartphone addiction. In contrast, the correlation between Type D personality and positive metacognition did not reach the significant level. (2) Compared with individuals with non-Type D personality, those with Type D personality scored significantly higher on nomophobia, negative metacognition, and smartphone addiction. However, the difference was not significant for positive metacognition. (3) Nomophobia and metacognitions about smartphone use fully mediated the relationship between Type D personality and smartphone addiction. While the mediating effects of nomophobia and negative metacognition were significant, the mediating effect of positive metacognition was not significant.

conclusionsType D personality can not only affect smartphone addiction directly but also indirectly through nomophobia and negative metacognition. Therefore, to prevent and intervene in smartphone addiction, we can start from both affect (nomophobia) and metacognition (negative metacognitions about smartphone use).

Indexed as

Internet Addiction DisorderMetacognitionSmartphoneStudentsType D PersonalityAdolescentAdultBehavior, AddictiveChinaFemaleHumansLongitudinal StudiesMaleSurveys and QuestionnairesUniversitiesYoung AdultMetacognitions about smartphone useNomophobiaSmartphone addictionType D personality

Identifiers

PMID39289640
PMCPMC11409663

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Registered trials

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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.