Evidence mapPaperPMID 41235280Full record

ArticleFrontiers in psychology2025

Mobile phone addiction and achievement motivation in Chinese medical students: the chain mediating effect of anxiety and depression symptoms.

Haoge Bai, Yiju Wang, Yan Jin, Zongyao Zhang, Juan Wang, Yang Meng, Hao Sun, Hui Xie

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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Haoge BaiClinical Medical College, Jining Medical University, Jining, Shandong, China.
Yiju WangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yan JinClinical Medical College, Jining Medical University, Jining, Shandong, China.
Zongyao ZhangClinical Medical College, Jining Medical University, Jining, Shandong, China.
Juan WangClinical Medical College, Jining Medical University, Jining, Shandong, China.
Yang MengCollege of Medical Imaging and Laboratory, Jining Medical University, Jining, Shandong, China.
Hao SunClinical Medical College, Jining Medical University, Jining, Shandong, China.
Hui XieClinical Medical College, Jining Medical University, Jining, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mobile phone addiction (MPA) is an escalating issue, particularly among high-pressure medical students prone to over-reliance on mobile phones, and it is closely associated with lower achievement motivation. This study aimed to explore the associations between Chinese medical students' achievement motivation, anxiety, depression, and MPA. Methods: Single-site cluster sampling was used to recruit 2,977 undergraduate medical students (Years 1-3) from a large medical university in Shandong Province. Data were collected via the Achievement Motivation Scale (AMS), Generalized Anxiety Disorder Scale-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Mobile Phone Addiction Index (MPAI), with 2,679 valid questionnaires retained. Results: Of the participants, 26.58% had MPA, with an average MPAI score of 42.97 ± 12.12. The average AMS score was 1.87 ± 0.35. Multiple linear regression showed that gender, liking one's major, MPAI, 7, and PHQ-9 scores significantly influenced achievement motivation (all Discussion: MPA correlates with lower achievement motivation in Chinese medical students, with anxiety and depression acting as mediators. Universities should take targeted measures to address MPA, in anxiety and depression, and improve medical students' achievement motivation.

Indexed as

achievement motivationanxiety symptomdepressive symptomsmediating rolemobile phone addiction

Identifiers

PMID41235280
PMCPMC12605222

What Socratic holds

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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 Socratic graph.