Evidence map›Paper›PMID 34010148›Full record

ArticleJournal of behavioral addictions2021

Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder.

Tao Luo, Lixia Qin, Limei Cheng, Sheng Wang, Zijun Zhu, Jiabing Xu, Haibo Chen, Qiaosheng Liu, Maorong Hu, Jianqin Tong and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
31.8field-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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it, 141 citations in OpenAlex.

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12 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 1 country.

Tao Luo1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Lixia Qin3Department of Psychology, Hospital of Tsinghua University, Beijing, 100084, P. R. China.
Limei Cheng4Department of Psychology Yingtan People's Hospital, Yingtan, 335000, P. R. China.
Sheng Wang1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Zijun Zhu1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Jiabing Xu1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Haibo Chen1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Qiaosheng Liu5Department of Psychology, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.
Maorong Hu6Department of Psychiatry, the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, P. R. China.
Jianqin Tong4Department of Psychology Yingtan People's Hospital, Yingtan, 335000, P. R. China.
Wei Hao7Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, P. R. China.
Bo Wei1The Treatment Center for Addiction, Jiangxi Mental Hospital, Nanchang, Jiangxi, 330029, P. R. China.ORCID 0000-0002-1908-3729
Yanhui Liao8Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310016, P. R. China.ORCID 0000-0003-4735-3252
Jiangxi Mental Health Center · CNCentral South University · CNYingkou Institute of Technology · CNNanchang University · CNSir Run Run Shaw Hospital · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSocial media disorder (SMD) is an increasing problem, especially in adolescents. The lack of a consensual classification for SMD hinders the further development of the research field. The six components of Griffiths' biopsychosocial model of addiction have been the most widely used criteria to assess and diagnosis SMD. The Bergen social media addiction scale (BSMAS) based on Griffiths' six criteria is a widely used instrument to assess the symptoms and prevalence of SMD in populations. This study aims to: (1) determine the optimal cut-off point for the BSMAS to identify SMD among Chinese adolescents, and (2) evaluate the contribution of specific criteria to the diagnosis of SMD.

methodStructured diagnostic interviews in a clinical sample (n = 252) were performed to determine the optimal clinical cut-off point for the BSMAS. The BSMAS was further used to investigate SMD in a community sample of 21,375 adolescents.

resultsThe BSMAS score of 24 was determined as the best cut-off score based on the gold standards of clinical diagnosis. The estimated 12-month prevalence of SMD among Chinese adolescents was 3.5%. According to conditional inference trees analysis, the criteria "mood modification", "conflict", "withdrawal", and "relapse" showed the higher predictive power for SMD diagnosis.

conclusionsResults suggest that a BSMAS score of 24 is the optimal clinical cut-off score for future research that measure SMD and its impact on health among adolescents. Furthermore, criteria of "mood modification", "conflict", "withdrawal", and "relapse" are the most relevant to the diagnosis of SMA in Chinese adolescents.

Indexed as

Behavior, AddictiveSocial MediaAdolescentHumansInternet Addiction DisorderPrevalenceBergen social media addiction scale (BSMAS)cut-off scorelatent profile analysissocial media disorder (SMD)

Identifiers

PMID34010148
PMCPMC8996805
OpenAlexW3162555763

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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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.