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Transitions in comorbidity patterns of depression and internet gaming disorder among adolescents: A random intercept
Fengtong Qian1, Rui Li1, Yimeng Lyu1
1School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen Clinical Research Center for Mental Disorders, Shenzhen Mental Health Center/Shenzhen Kangning Hospital, Shenzhen, Guangdong, China.
Background:
Extensive research has documented a high comorbidity prevalence between depression and Internet gaming disorder (IGD). However, the distinct comorbidity patterns in adolescents have not been thoroughly investigated. Additionally, the longitudinal dynamics of these comorbidity patterns over time and the specific factors that may drive these transitions remain poorly understood.
Methods:
A total of 3,296 adolescents (1,501 boys; age baseline: 15.17 [1.44] years) were included in the current study. Latent profile analysis (LPA) was used to identify optimal comorbidity patterns of depression and IGD, while random intercept latent transition analysis (RI-LTA) was conducted to assess transitions in the comorbidity patterns over one and a half years and to identify factors influencing these transitions.
Results:
Three patterns of comorbidity between depression and IGD symptoms were identified: no symptoms, low depression-high IGD symptoms, and high depression-low IGD symptoms. Results indicate that 72 % of individuals exhibited a stable symptom pattern trajectory. From Time 1 to Time 2, the probabilities of remaining in the three patterns were 78.3 %, 31.5 %, and 51.5 %, respectively. Findings also showed that sex, grade levels, boarding status, father's occupation as well as educational attainment, intra-week and weekend screen time, parent-child relationship, and perceived social support influenced the probabilities of transitions between comorbidity patterns in adolescents over time.
Conclusions:
Adopting targeted interventions for different comorbidity patterns and transitions, while considering specific influencing factors, provides insights into adolescent mental health dynamics and inform more effective prevention and support strategies.
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