Longitudinal Analysis of Behavioral Addictions Among Children and Adolescents in the Context of the COVID-19 Pandemic

The COVID-19 pandemic has been linked to a significant increase in behavioral addiction symptoms among children and adolescents, with exercise, gambling, and shopping addictions showing notable upticks. A comprehensive three-wave longitudinal study, conducted over approximately three years, has revealed these trends, offering critical insights into the lasting impact of pandemic-related disruptions on youth mental health and behavior. The research, involving 1,665 Israeli students aged 9 to 16.7 years, tracked addiction symptoms from before the pandemic’s onset through its various waves and into the return to regular schooling, highlighting the complex interplay between risk and protective factors.

Pandemic’s Shadow: Escalating Behavioral Addictions in Youth

The study, initiated in October 2019 and concluding in April 2022, provides a stark picture of how the unprecedented challenges of the COVID-19 pandemic may have fostered the development or exacerbation of behavioral addictions in young people. While the medical impact of COVID-19 on children and adolescents was generally less severe than in older populations, the indirect consequences—such as prolonged lockdowns, school closures, social isolation, and heightened emotional distress—created a fertile ground for maladaptive behavioral patterns.

Researchers found that symptoms of exercise, gambling, and shopping addictions increased significantly across the three assessment points. Eating addiction symptoms, however, remained relatively stable. These findings underscore a growing concern within public health circles regarding the understudied area of behavioral addictions in youth, particularly those extending beyond digital media consumption. The pandemic’s disruption of daily routines, social interactions, and emotional well-being appears to have amplified vulnerabilities in this demographic.

The study’s methodology was robust, employing a longitudinal design to capture changes over time. Participants completed validated questionnaires assessing a wide range of factors, including addiction symptoms, general psychiatric symptoms, emotional states (negative and positive affect), sensation-seeking tendencies, life satisfaction, social support, attachment styles, hope, future orientation, grit, and gratitude. This multi-faceted approach allowed for a deep dive into the psychological landscape associated with these evolving behaviors.

Key Findings: A Shifting Landscape of Youth Behavior

The results paint a complex picture. While negative affect, psychiatric symptoms, and sensation-seeking were identified as significant predictors of higher addiction symptom levels, the role of social support was unexpectedly associated with increased exercise, gambling, and eating addiction symptoms. This counterintuitive finding may reflect the unique context of the pandemic, where limited social outlets could have channeled support into activities that became problematic.

Conversely, protective factors such as future orientation, life satisfaction, hope, positive emotions, and secure attachment were linked to fewer addiction symptoms. Crucially, the study’s structural equation modeling revealed that these protective factors exerted their influence indirectly, primarily by mitigating negative affect and psychiatric symptoms. This suggests that bolstering mental health is a key pathway to preventing behavioral addictions in this age group.

Demographic analysis also yielded important distinctions. Girls reported higher levels of shopping and eating addiction symptoms, aligning with some previous research. Boys, on the other hand, showed higher rates of gambling and exercise addiction symptoms. Age also played a role, with older adolescents reporting fewer shopping, exercise, and eating addiction symptoms, but a notable increase in gambling addiction symptoms.

A Deep Dive into the Data: Pre-Pandemic Baseline to Post-Pandemic Recovery

The study’s timeline is critical to understanding the observed trends. The initial assessment in October 2019 provided a pre-pandemic baseline. The subsequent measurements in November 2020 (after the first wave) and April 2022 (after the fifth wave and return to regular schooling) allowed researchers to track changes during and after the most disruptive phases of the pandemic.

At baseline, before the pandemic’s widespread impact, 1.8% of participants reported frequent shopping addiction symptoms, 3.4% for eating addiction, 3.2% for exercise addiction, and a mere 0.3% for gambling addiction. By the third data collection point in April 2022, a year after returning to more normal routines, the prevalence of frequent symptoms had shifted, although not all reached clinical levels of addiction. The study noted that by the third evaluation, a minority of participants experienced these symptoms frequently, with 2.4% in shopping, 3% in gambling, and 2.9% in eating behaviors. This suggests that while the symptoms increased, they largely remained subclinical for the majority.

The growth curve analyses revealed significant linear increases in exercise addiction symptoms (coefficient = 0.62, p < 0.001), gambling addiction symptoms (coefficient = 0.23, p < 0.001), and shopping addiction symptoms (coefficient = 0.03, p < 0.05) between the first and third measurement points. Eating addiction symptoms showed a smaller, though statistically significant, increase (coefficient = 0.05, p < 0.01). These increases highlight a sustained trend rather than a temporary pandemic-induced spike.

Risk and Protective Factors: A Complex Equation

The structural equation model confirmed that protective factors, such as future orientation, grit, hope, social support, life satisfaction, and positive affect, were negatively associated with behavioral addiction symptoms. However, their impact was predominantly indirect, mediated by a reduction in risk factors like psychiatric symptoms, negative affect, and sensation seeking. This mediation was found to be "full," meaning the direct link between protective factors and addiction symptoms was negligible once the influence on risk factors was accounted for.

The findings regarding social support were particularly noteworthy. While generally considered a buffer against addiction, in this study, higher perceived social support was associated with increased exercise, gambling, and eating addiction symptoms. Researchers suggest this anomaly might stem from the pandemic context, where limited social opportunities may have channeled support into activities that became problematic. For example, engaging in physical activities or sharing meals with friends, while supported, could have inadvertently fostered addictive patterns due to the constrained environment.

On the other hand, risk factors such as sensation-seeking, psychiatric symptoms (measured by the Brief Symptom Inventory 18, BSI-18), and negative affect (measured by the Positive and Negative Affect Schedule for Children, PANAS-C) were strongly linked to higher levels of addiction symptoms across various categories. The General Severity Index (GSI) of the BSI-18, indicating overall psychological distress, showed a significant increase from a mean of 8.30 (SD=10.35) at baseline to 13.00 (SD=10.01) at the third assessment, correlating with escalating addiction symptoms.

Demographic Differentiations in Addiction Patterns

The study also shed light on how these trends varied across demographic groups. Girls exhibited higher levels of shopping (t = 5.18, p < 0.001) and emotional eating addiction symptoms (t = 3.19, p < 0.001). Conversely, boys reported more engagement in sports participation (t = 4.42, p < 0.001) and gambling (t = 3.19, p < 0.001).

Age also emerged as a significant factor. Older adolescents (ages 14-16.7) showed a decrease in shopping, exercise, and eating addiction symptoms compared to younger participants. However, this age group also reported a greater propensity for gambling addiction symptoms. This suggests a developmental shift, where adolescent maturation might confer greater self-regulation in some areas while increasing susceptibility to risk-taking behaviors like gambling.

Broader Implications: A Call for Mental Health-Focused Interventions

The findings from this longitudinal study carry significant implications for public health and clinical practice. The observed increases in behavioral addiction symptoms during and after the COVID-19 pandemic, even when remaining subclinical for many, highlight a critical need for proactive interventions.

The research strongly suggests that emotional and social resources act as resilience factors primarily by shaping mental health. This underscores the importance of targeting negative affect and psychiatric distress as key intervention points to prevent the development and escalation of behavioral addictions in children and adolescents.

"These findings suggest that youth behavioral addictions intensified during and after the pandemic, even when most symptoms remained subclinical," the study’s discussion section notes. "Emotional and social resources functioned as resilience factors primarily by shaping mental health, highlighting negative affect and psychiatric distress as key intervention targets to prevent behavioral addictions in children and adolescents."

The study’s authors emphasize that interventions should focus on strengthening protective factors such as future orientation, hope, life satisfaction, positive emotions, and secure attachment. These elements can serve as a "compass guiding them through uncertainty," enabling foresight and planning that counteracts the immediate gratification sought through addictive behaviors. Simultaneously, addressing risk factors like sensation-seeking, psychiatric symptoms, and negative emotions through therapeutic support and healthier coping mechanisms is paramount.

The unexpected link between social support and increased addiction symptoms warrants further investigation, particularly in understanding how the unique constraints of the pandemic may have influenced this relationship. Future research should explore moderation effects, examining how protective factors might buffer the impact of risk factors and provide a more nuanced understanding of tailored prevention and intervention strategies.

While the study provides valuable insights, it acknowledges limitations, including reliance on self-report measures and the dynamic nature of the pandemic, which may not be fully captured by the study’s time points. The absence of specific COVID-19 context variables, such as direct family impact or detailed social isolation measures, also presents an area for future exploration. Nonetheless, the research offers a robust longitudinal perspective on a critical public health issue, providing a foundation for developing effective strategies to support the mental well-being and behavioral health of young people in the wake of global crises.