Evidence map›Paper›PMID 26309680›Full record

ArticleInternational journal of clinical and experimental medicine2015

Relationship between peripheral blood dopamine level and internet addiction disorder in adolescents: a pilot study.

Min Liu, Jianghong Luo

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
9.7field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 50 citations in OpenAlex.

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  14. Digital Addiction and Sleep.International journal of environmental research and public health · 2022
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. mRNA Levels of MAOA and 5-HTFrontiers in psychiatry · 2021
    Article
  20. 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

2 authors at 1 institution in 1 country.

Min LiuGannan Medical University Ganzhou, Jiangxi 341000, China.
Jianghong LuoGannan Medical University Ganzhou, Jiangxi 341000, China.
Gannan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the association between peripheral blood dopamine level and internet addiction disorder (IAD) in adolescents, this could be used to explain the neurobiological mechanism of Internet addiction disorder.

methods33 adolescents with IAD diagnosed by Young's Internet Addiction Test (IAT) and 33 healthy controls matched by gender and age were investigated in the present study. Peripheral blood dopamine levels of the all subjects were determined by Enzyme Linked Immunosorbent Assay (ELISA).

resultsThe difference of peripheral blood dopamine level between adolescents with IAD and their controls had reached significant level (t = 2.722, P < 0.05). Furthermore, the plasma dopamine level was significantly correlated with the Internet Addiction Test score (r = 0.457, P < 0.001). The result of rank correlation analysis showed a significant positive correlation between the plasma dopamine level and the weekly online time (r = 0.380, P < 0.01) and there was no significant correlation between the duration of Internet use and the plasma dopamine level (r = 0.222, P > 0.05). Binary logistic regression analysis showed that DA level and weekly online time were significant variables which contribute to internet addiction.

conclusionsThe peripheral blood dopamine level is associated with adolescents' internet addiction. The present study provided new evidence in favor of the hypothesis that dopamine played an important role in IAD.

Indexed as

adolescentsdopamineInternet addiction disorder (IAD)weekly online time

Identifiers

PMID26309680
PMCPMC4538113
OpenAlexW2399244822

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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.