Evidence map›Paper›PMID 41762339›Full record

ArticleBehavior genetics2026

Sex Differences in Genetic and Environmental Influences on Age at Initiation of Gaming.

Yubin Kim, Yoon-Mi Hur

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Article in Behavior genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Yubin KimKookmin Twin Research Institute, Kookmin University, YBG-B301, 77, Jeongneung-ro, Seongbuk-gu, Seoul, 02707, South Korea.
Yoon-Mi HurKookmin Twin Research Institute, Kookmin University, YBG-B301, 77, Jeongneung-ro, Seongbuk-gu, Seoul, 02707, South Korea. ymhur@kookmin.ac.kr.ORCID http://orcid.org/0000-0002-1635-7974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The link between age at initiation of gaming (AAIG) and gaming addiction (GA) is well established, but the genetic and environmental etiology of AAIG remains poorly understood due to the scarcity of genetically informative studies. This study investigated genetic and environmental influences on AAIG using data from 1,394 South Korean adult twins (mean age = 23.0 ± 2.6 years; range = 19 to 30 years). Tetrachoric correlations for AAIG were 0.96 (95% CI = 0.92, 0.98) for monozygotic (MZ) male, 0.84 (95%CI = 0.69, 0.92) for dizygotic (DZ) male, 0.80 (95%CI = 0.73, 0.85) for MZ female, 0.56 (95% CI = 0.38, 0.70) for DZ female, and 0.54 (95% CI = 0.36, 0.68) for opposite-sex DZ twins. Model-fitting analysis incorporating sex differences revealed that shared environmental factors dominated (71%; 95% CI = 39%, 89%), with a smaller but significant genetic component (24%; 95% CI = 6%, 57%) in males, whereas genetic factors played a larger role (59%; 95% CI = 37%, 77%), while shared environmental (21%; 95% CI = 5%, 41%) and non-shared environmental influences (20%; 95% CI = 15%, 27%) were also significant in females. Our findings highlight sex differences in genetic and shared environmental influences in the etiology of AAIG. Effective prevention and intervention strategies for GA should consider genetic vulnerability to AAIG and family exposures, incorporating sex-specific approaches.

Indexed as

Age at initiation of gamingEnvironmental influencesGamingGeneticsTwins

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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.