收藏切换
Relationship between attention deficit hyperactivity disorder symptoms and internet gaming addiction in students based on latent profile analyses
收藏切换
PDF
Wei-sen KONG1, Yang HAN1, Kai-lun WANG2, Bin LI3, An-xie TUO2
Modern Preventive Medicine | 2024, 51(8) : 1425 - 1430
Less
收藏切换
Modern Preventive Medicine | 2024, 51(8): 1425-1430
Child and Adolescent health, Maternal and Child Health
Relationship between attention deficit hyperactivity disorder symptoms and internet gaming addiction in students based on latent profile analyses
Full
Wei-sen KONG1, Yang HAN1, Kai-lun WANG2, Bin LI3, An-xie TUO2
Affiliations
  • Key Laboratory of Environmental Pollution and Disease Surveillance, Ministry of Education, School of Public Health and Wellness, Guizhou Medical University, Guiyang, Guizhou 561113, China
Published: 2024-04-25 doi: 10.20043/j.cnki.MPM.202312075
Outline
收藏切换
Objective

To identify potential subtypes of attention deficit hyperactivity disorder (ADHD) symptoms among middle school students and further explore the association between these subtypes and internet gaming addiction.

Methods

A stratified random sampling method was used to select 2 100 students from six middle schools in Bijie City, Guizhou Province. The Internet Gaming Disorder Scale (IGDS) and the Barkley Current Symptom Scale (BCSS) were administered for assessment. Latent Profile Analysis (LPA) was employed to determine the latent classifications of ADHD symptoms, followed by the application of a robust three-step approach to analyze the relationship between these classifications and internet gaming addiction. To assess the relationship between ADHD symptom classifications and the risk of internet gaming addiction, binary Logistic regression analysis was conducted, controlling for demographic variables such as gender and age, to clarify the predictive effect of ADHD symptoms on the risk of internet gaming addiction.

Results

The prevalence rate of internet gaming addiction among middle school students was found to be 4.57% (n=96). Latent profile analysis identified three potential subtypes of ADHD symptoms: low symptom subtype (n=1 058, 50.4%), moderate symptom subtype (n=829, 39.5%), and high symptom subtype (n=213, 10.1%). Further analysis indicated statistically significant differences in internet gaming addiction scores among the ADHD symptom subtypes (χ2=547.438, P<0.001), with the high symptom subtype scoring the highest, followed by the moderate symptom subtype, and the low symptom subtype(scores were 26.79±0.54, 19.47±0.26, 14.75±0.19, respectively). After adjusting for demographic variables such as gender and ethnicity and conducting multiple comparisons, the association between moderate and high levels of ADHD symptoms and the risk of internet gaming addiction remained significant (OR values respectively were (1.25, 95% CI:1.58-1.35) and (1.14, 95% CI:1.08-1.20)), while the impact of the low symptom level was not significant.

Conclusion

There is significant heterogeneity in ADHD symptoms among middle school students and different latent subtypes of ADHD symptoms are significantly associated with internet gaming addiction. Students with higher levels of ADHD symptoms are more likely to have higher internet gaming addiction scores. Schools and families should pay more attention to middle school students exhibiting more severe ADHD symptoms to promote mental health development.

ADHD symptoms  /  Internet gaming addiction  /  Middle school students  /  Latent profile analysis
Wei-sen KONG, Yang HAN, Kai-lun WANG, Bin LI, An-xie TUO. Relationship between attention deficit hyperactivity disorder symptoms and internet gaming addiction in students based on latent profile analyses[J]. Modern Preventive Medicine, 2024 , 51 (8) : 1425 -1430 . DOI: 10.20043/j.cnki.MPM.202312075
Year 2024 volume 51 Issue 8
PDF
61
27
Cite this Article
BibTeX
Article Info
doi: 10.20043/j.cnki.MPM.202312075
  • Receive Date:2023-12-05
  • Online Date:2026-03-16
  • Published:2024-04-25
Article Data
Affiliations
History
  • Received:2023-12-05
Funding
Affiliations
    Key Laboratory of Environmental Pollution and Disease Surveillance, Ministry of Education, School of Public Health and Wellness, Guizhou Medical University, Guiyang, Guizhou 561113, China
References
Share
https://castjournals.cast.org.cn/joweb/xdyfyx/EN/10.20043/j.cnki.MPM.202312075
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT