Evidence map›Paper›PMID 37294627›Full record

ArticleJournal of behavioral addictions2023

Problematic use of the internet among adolescents: A four-wave longitudinal study of trajectories, predictors and outcomes.

Xiaomin Geng, Jialin Zhang, Yang Liu, Linxuan Xu, Yue Han, Marc N Potenza, Jintao Zhang

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
16.2field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  14. Development and validation of the while-in-bed-smartphone-use-induced sleep procrastination scale (WSPS) in Chinese undergraduates with/without problematic smartphone use.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    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

7 authors at 4 institutions in 2 countries.

Xiaomin Geng1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID 0009-0008-1571-1987
Jialin Zhang1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0002-4382-067X
Yang Liu2Department of Psychology, School of Humanities and Social Sciences (School of Public Administration), Beihang University, Beijing, China.ORCID 0000-0001-9253-5763
Linxuan Xu1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0003-4111-0575
Yue Han3Shan Dong Zibo No.17 Middle School, Shandong, China.ORCID 0000-0006-9935-4088
Marc N Potenza4Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-6323-1354
Jintao Zhang1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID 0000-0002-4807-1196
Beijing Normal University · CNBeihang University · CNShandong University of Technology · CNYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background and aims: Problematic use of the internet (PUI) among adolescents has become one of the public problems around the world. Understanding the developmental trajectory of PUI may be beneficial to develop prevention and intervention. The current study aimed to identify the developmental trajectories of PUI among adolescents, considering individual differences over time. And also explored how familial factors contributed to the identified trajectories, and the relationship between PUI changes over time and social, mental health, and academic functioning. Methods: A total of 1,149 adolescents (Mage = 15.82, SD = 0.61; 55.27% girls at Wave 1) participated in assessments at four time points, using 6-month assessment intervals. Results: Based on a latent class growth model, three trajectories of PUI were identified: Low Decreasing, Moderate Increasing, and High Increasing groups. Multivariate logistic regression analyses suggested that inter-parental conflicts and childhood maltreatment served as negative familial predictors for the risk trajectories of PUI (i.e., Moderate Increasing and High Increasing groups). Additionally, adolescents in these two groups displayed more estranged interpersonal relationships, more mental health difficulties, and poorer academic functioning. Discussion and conclusions: It is important to consider individual differences in understanding the developmental patterns of PUI among adolescents. Identifying family predictors and the behavioral outcome associated with groups with different developmental trajectories of PUI, which may help to understand better risk factors related to specific developmental patterns of PUI and its adverse correlates. The findings highlight a need to develop more specific effective intervention programs for individuals displaying different problematic developmental trajectories with PUI.

Indexed as

Adolescent BehaviorAdolescentFemaleHumansInternetLongitudinal StudiesMaleMental HealthRisk Factorsaddictive behaviorsadolescentsfamilyinternet addictionmaladjustmentproblematic use of the internet

Identifiers

PMID37294627
PMCPMC10316164
OpenAlexW4380146573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.