Developmental Trajectories of Adolescent Internet Addiction: Interpersonal Predictors and Adjustment Outcomes

Pan, Heng; Zhou, Yueyue; Li, Dongping; Jia, Jinping; Xiao, Jiale; Liu, Yu-Xiao; Zhang, Haiyan

doi:10.1007/s10802-022-00987-1

Cited by 3 publications

(7 citation statements)

References 57 publications

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“…Limited studies have examined the heterogeneous growth trajectories of Internet addiction over time (21)(22)(23)(24). These studies identified four to six trajectory subgroups of Internet addiction.…”

Section: Distinct Trajectories Of Internet Addiction and Depressive S...mentioning

confidence: 99%

“…Substantial studies have reported on the predictive factors associated with Internet addiction and depressive symptoms (22,(31)(32)(33). In this study, based on the results of our previous studies on the prevalence and predictors of Internet addiction and depressive Regarding individual factors, gender and positive youth development were chosen.…”

Section: Predictive Factors Associated With Internet Addiction and De...mentioning

confidence: 99%

“…Substantial studies have reported on the predictive factors associated with Internet addiction and depressive symptoms ( 22 , 31–33 ). In this study, based on the results of our previous studies on the prevalence and predictors of Internet addiction and depressive symptoms ( 3 , 34 ), we selected a set of robust predictors for the current study, and those influential factors were classified as individual, family, and school variables.…”

Section: Introductionmentioning

confidence: 99%

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Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Zhang,

Wang,

Zhang

et al. 2024

Front. Public Health

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ObjectiveInternet addiction and depressive symptoms are common mental health problems in adolescents. Due to the comorbidity of Internet addiction and depressive symptoms, their mutual relationship influences their developmental trajectories over time. Thus, this study aimed to identify the joint trajectories of Internet addiction and depressive symptoms, and examined the individual, family, and school antecedents of these trajectories among Chinese adolescents.MethodsUsing a battery of self-report scales, three waves of data collection were conducted in a Chinese adolescent sample (N = 1,301). The co-developmental trajectories of Internet addiction and depressive symptoms were extracted by adopting parallel-process latent class growth modeling (PPLCGM). Multinomial logistic regression was performed to assess predictive factors.ResultsFour unique joint trajectory classes were detected: the Health Group (n = 912, 70.1%), Comorbidity-Worsening Group (n = 85, 6.5%), Asymptomatic-Comorbid Risk Group (n = 148, 11.4%), and Prominent Depressive Symptoms-Remission Group (n = 156, 12.0%). Individual, family, and school factors (e.g., gender, positive youth development, family function, academic performance) significantly predicted the membership in these distinct co-developmental trajectories.ConclusionOur findings illustrate that the joint development of Internet addiction and depressive symptoms among adolescents presents a heterogeneous distribution, which could better inform prevention and intervention strategies since each co-developmental trajectory may represent unique experience for adolescents who need targeted treatment. Various individual, family, and school factors are important predictors that play different roles in distinguishing the joint trajectories of Internet addiction and depressive symptoms during this critical developmental transition period.

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Section: Distinct Trajectories Of Internet Addiction and Depressive S...mentioning

confidence: 99%

Section: Predictive Factors Associated With Internet Addiction and De...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Zhang,

Wang,

Zhang

et al. 2024

Front. Public Health

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“…Friendship is an important social resource for preventing psychological distresses among rural left-behind adolescents. Studies have identified that Internet addiction can negatively affect adolescents' interpersonal relationships (Huang et al, 2023;Lepp et al, 2016).…”

Section: Key Messagesmentioning

confidence: 99%

“…Friendship is an important social resource for preventing psychological distresses among rural left‐behind adolescents. Studies have identified that Internet addiction can negatively affect adolescents' interpersonal relationships (Huang et al, 2023; Lepp et al, 2016). Internet addiction will cause fewer conversations and disagreement with peers in actual relationships, resulting in alienation or detachment from the connections with peers (Adorjan & Ricciardelli, 2021).…”

Section: Introductionmentioning

confidence: 99%

Internet addiction and depressive and anxious symptoms among Chinese rural left‐behind adolescents: Mediating roles of resilience and friendship quality

Shang,

Pang,

Jiang

et al. 2023

Child

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BackgroundRural left‐behind adolescents are more vulnerable to Internet addiction and depressive and anxious symptoms due to the lack of family support and parental supervision. This study was the first to investigate the longitudinal relationships between Internet addiction and depressive and anxious symptoms and to examine the mediating roles of resilience and friendship quality in rural left‐behind adolescents.MethodsIncluded in this study, which was from a longitudinal study conducted five times over 2 years, were 1001 rural left‐behind adolescents. The internationally used scales for depressive and anxious symptoms, Internet addiction, resilience and friendship quality were administered. A structural equation model was used for analysis.ResultsThe prevalence of Internet addiction, depressive and anxious symptoms among rural left‐behind adolescents were 17.7%, 35.8% and 27.6%, respectively. Internet addiction predicted the later depressive and anxious symptoms (β = 0.200, 95% confidence interval [CI]: 0.116–0.274 and β = 0.263, 95% CI: 0.188–0.330). Resilience acted as an independent mediator in the relationships between Internet addiction and depressive and anxious symptoms (β = 0.037 and 0.034, P < 0.01). Resilience and friendship quality played a chain‐mediating role on the longitudinal relationships between Internet addiction and depressive and anxious symptoms (β = 0.011 and 0.010, P < 0.001). The mediating effects accounted for 24.0% and 16.7% of the total effects, respectively.ConclusionResilience and friendship quality play an independent or chain‐mediating role in longitudinal relationships between Internet addiction and depressive and anxious symptoms. The findings inform targeted intervention strategies to improve the mental health of left‐behind adolescents.

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Developmental trajectories and predictors of Internet gaming disorder across the university years: A person-centered five-wave cohort study

Qiao,

Chen,

Zhu

et al. 2024

Addictive Behaviors

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Developmental Trajectories of Adolescent Internet Addiction: Interpersonal Predictors and Adjustment Outcomes

Cited by 3 publications

References 57 publications

Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Internet addiction and depressive and anxious symptoms among Chinese rural left‐behind adolescents: Mediating roles of resilience and friendship quality

Developmental trajectories and predictors of Internet gaming disorder across the university years: A person-centered five-wave cohort study

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