Evidence map›Paper›PMID 38414906›Full record

ArticlePsychology research and behavior management2024

Relationship Between Self-Esteem and Problematic Social Media Use Amongst Chinese College Students: A Longitudinal Study.

Hui Wang

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Unravelling the Association Between Trait Mindfulness and Problematic Social Media Use in Youth.International journal of environmental research and public health · 2025
    Article
  5. Review
  6. Article
  7. 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

1 author.

Hui WangXiamen University Tan Kah Kee College, Zhangzhou, 363105, People's Republic of China.ORCID 0000-0003-3238-1453

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Numerous cross-sectional investigations have delved into the association between the self-esteem of college students and problematic social media use (PSMU). Nevertheless, the debated causal sequence between the two factors persists, and their unclear developmental connection over time prevails. Methods: We used a questionnaire method to follow 321 students in Chinese college over a period of 18 months and three times, of which 137 are male and 184 are female, with an average age of 18.42 years (SD = 0.78) at time 1. Descriptive statistics were used to present the general characteristics of the study participants. Moreover, the latent growth model was used to explore the developmental trajectory of self-esteem and PSMU and to explore the interplay between the two factors from a developmental perspective. On this basis, a cross-lagged model was used to verify the causal relationship between self-esteem and PSMU. Results: In China, (a) the self-esteem levels of college students continuously decline during their academic years, whilst PSMU levels steadily increase. (b) The self-esteem of Chinese college students significantly negatively predicts PSMU. (c) The initial level of self-esteem amongst Chinese college students can significantly negatively predict the initial level of PSMU. Additionally, the rate of decline in self-esteem amongst Chinese college students can negatively predict the rate of increase in PSMU. Conclusion: Obtained results serve as a valuable resource for researchers and educators, enabling strategic intervention in addressing issues related to PSMU amongst college students from a developmental perspective.

Indexed as

cross-lagged modellatent growth modellongitudinal studyproblematic social media useself-esteem

Identifiers

PMID38414906
PMCPMC10898483

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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.