Evidence map›Paper›PMID 27905905›Full record

ArticleBMC public health2016

Prevalence and co-occurrence of compulsive buying, problematic Internet and mobile phone use in college students in Yantai, China: relevance of self-traits.

Zhaocai Jiang, Mingyan Shi

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
6.5field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Big Five Personality Traits, Personal Projects, and Compulsive Buying: A Causal Approach.European journal of investigation in health, psychology and education · 2025
    Article
  5. Big Five Personality Traits and Compulsive Buying: The Mediating Role of Self-Esteem.European journal of investigation in health, psychology and education · 2023
    Article
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  10. What Do We Know When We Know a Compulsive Buying Person? Looking at Now and Ahead.International journal of environmental research and public health · 2022
    Article
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  14. Life Aspirations, Generativity and Compulsive Buying in University Students.International journal of environmental research and public health · 2021
    Article
  15. Big Five Personality Traits, Coping Strategies and Compulsive Buying in Spanish University Students.International journal of environmental research and public health · 2021
    Article
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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

2 authors at 1 institution in 1 country.

Zhaocai JiangDepartment of Psychology, School of Educational Science, Ludong University, Hongqi Middle Road 186, Zhifu District, Yantai, 264025, China. jiangzhaocai456@163.com.ORCID 0000-0003-3062-0844
Mingyan ShiDepartment of Psychology, School of Educational Science, Ludong University, Hongqi Middle Road 186, Zhifu District, Yantai, 264025, China.
Ludong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUntil now, most research in the prevalence of compulsive buying (CB) has been developed from samples in western developed countries, this study aimed to estimate the prevalence and co-morbidities of CB, problematic Internet use (PIU) and problematic mobile phone use (PMPU) in college students in Yantai, China. Moreover, based on the lack of research focusing on differences between CB and addiction, we will explore whether CB and PIU/PMPU individuals are characterized by the same self-traits (i. e., self-control, self-esteem and self-efficacy) related profile.

methodsA total of 601 college students were involved in this cross-sectional study. Compulsive buying, problematic Internet and mobile phone use and self-traits were assessed by self-reported questionnaires. The demographic information and use characteristics were included in the questionnaires.

resultsThe incidence of CB, PIU and PMPU were 5.99, 27.8 and 8.99% respectively. In addition, compared with rural students, students from cities are more likely to get involved in CB. Students using mobile phone to surf the Internet displayed higher risk of PIU than counterparts using computer. Students using Internet or mobile phone longer are more prone to problematic use. Furthermore, we found the strong correlations and high co-morbidities of CB, PIU and PMPU and self-control was the most significant predictor for all three disorders. However, self-esteem and self-efficacy were significant predictors only for CB.

conclusionsOur findings indicated that with the prevalence of CB and PMPU roughly equivalent to that demonstrated in previous studies, PIU in Chinese college students is serious and deserves more attention. Furthermore, besides the impulsive aspect common with addiction, CB is also driven by painful self-awareness derived from low self-regard which implies the obsessive-compulsive aspect.

Indexed as

Self ConceptBehavior, AddictiveCell PhoneChinaCompulsive BehaviorCross-Sectional StudiesFemaleHumansInternetMalePrevalenceSelf EfficacyStudentsSurveys and QuestionnairesYoung AdultCompulsive buyingProblematic Internet useProblematic mobile phone useSelf-controlSelf-efficacySelf-esteem

Identifiers

PMID27905905
PMCPMC5131526
OpenAlexW2558011914

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.