Abstract 4366436: Internet Addiction and Early-Life Risk Indicators for Cardiometabolic and Mental Health Disorders

Background: 94% of US adolescents ages 9-18 experience internet use (IU), averaging 5-7 hours of entertainment use daily. Studies have linked IU and internet addiction (IA) to obesity, poor sleep, and mental health disorders, but few studies have synthesized the impact of IA on mental, cognitive, and physical health, especially in adolescence—a period when behaviors that shape long-term cardiometabolic health are established. This study assesses the impact of IA on mental and physical health, using Body Mass Index (BMI) percentile and body fat percentage (BFP) to measure adolescent obesity more accurately. Research Questions: We hypothesize that increasing IA will negatively impact adolescent health. Methods: We selected Healthy Brain Network study participants with an available parent-child internet addiction test (PCIAT) result ( n =4,260), assigning none, mild, moderate, or severe categories of IA severity (IAS). Outcomes included BMI percentile, BFP (via bioelectric impedance analysis), sleep disturbance scale (SDS) t- score, and Child Behavior Checklist (CBCL) t- score (measures behavioral, emotional, and social function). ANCOVA models adjusted for age and sex followed by Tukey-adjusted pairwise comparisons were used to compare outcomes among IAS groups. Results: Participants (mean age 10.2) were 64% male, 54% White, 13% Black, 9.3% Hispanic, 3.1% Asian, 0.9% Native American/Alaskan Native, 17% multiracial, 1.6% other race, and 0.5% unknown. Severe IA was associated with higher BMI percentile (75 th vs. 62 nd , p <0.05) and significantly higher BFP (45%) than none (18%, p <0.01), mild (24%, p <0.01), and moderate (29%, p <0.05) (Image 1) . SDS t -scores (Image 2) worsened with increasing IAS—56 (none), 59 (mild), 63 (moderate), and 70 (severe), with all comparisons significant ( p <0.001, except moderate vs. severe: p <0.01). CBCL t -score (Image 3) progressively worsened with IAS: 56 (none), 59 (mild), 64 (moderate), and 71 (severe), with all comparisons significant ( p <0.001). Conclusion: Our findings highlight the negative impact of IA during a critical developmental period. Sleep patterns, behavior, and obesity in youth often remain in adulthood, increasing long-term cardiovascular risk. Severe IA was associated with higher BMI percentile and a stepwise increase in BFP with increasing IAS. IA also worsened sleep, behavior, and mental health, with higher SDS and CBCL scores with increasing IAS. Future studies should examine different types of IU and long-term impact.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366436
Primary Topic
Impact of Technology on Adolescents
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article
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article

Abstract 4366436: Internet Addiction and Early-Life Risk Indicators for Cardiometabolic and Mental Health Disorders

Diensn Xing, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan, John A. Vanchiere et al.
Circulation
Impact of Technology on Adolescents
article

Abstract 4366436: Internet Addiction and Early-Life Risk Indicators for Cardiometabolic and Mental Health Disorders

Diensn Xing, Christopher G. Kevil, Mohammad Alfrad Nobel Bhuiyan, John A. Vanchiere, Md. Shenuarin Bhuiyan, Steven A. Conrad, C. W. Laird, Wayne Orr, Oren Rom
article en

Abstract

Background: 94% of US adolescents ages 9-18 experience internet use (IU), averaging 5-7 hours of entertainment use daily. Studies have linked IU and internet addiction (IA) to obesity, poor sleep, and mental health disorders, but few studies have synthesized the impact of IA on mental, cognitive, and physical health, especially in adolescence—a period when behaviors that shape long-term cardiometabolic health are established. This study assesses the impact of IA on mental and physical health, using Body Mass Index (BMI) percentile and body fat percentage (BFP) to measure adolescent obesity more accurately. Research Questions: We hypothesize that increasing IA will negatively impact adolescent health. Methods: We selected Healthy Brain Network study participants with an available parent-child internet addiction test (PCIAT) result ( n =4,260), assigning none, mild, moderate, or severe categories of IA severity (IAS). Outcomes included BMI percentile, BFP (via bioelectric impedance analysis), sleep disturbance scale (SDS) t- score, and Child Behavior Checklist (CBCL) t- score (measures behavioral, emotional, and social function). ANCOVA models adjusted for age and sex followed by Tukey-adjusted pairwise comparisons were used to compare outcomes among IAS groups. Results: Participants (mean age 10.2) were 64% male, 54% White, 13% Black, 9.3% Hispanic, 3.1% Asian, 0.9% Native American/Alaskan Native, 17% multiracial, 1.6% other race, and 0.5% unknown. Severe IA was associated with higher BMI percentile (75 th vs. 62 nd , p <0.05) and significantly higher BFP (45%) than none (18%, p <0.01), mild (24%, p <0.01), and moderate (29%, p <0.05) (Image 1) . SDS t -scores (Image 2) worsened with increasing IAS—56 (none), 59 (mild), 63 (moderate), and 70 (severe), with all comparisons significant ( p <0.001, except moderate vs. severe: p <0.01). CBCL t -score (Image 3) progressively worsened with IAS: 56 (none), 59 (mild), 64 (moderate), and 71 (severe), with all comparisons significant ( p <0.001). Conclusion: Our findings highlight the negative impact of IA during a critical developmental period. Sleep patterns, behavior, and obesity in youth often remain in adulthood, increasing long-term cardiovascular risk. Severe IA was associated with higher BMI percentile and a stepwise increase in BFP with increasing IAS. IA also worsened sleep, behavior, and mental health, with higher SDS and CBCL scores with increasing IAS. Future studies should examine different types of IU and long-term impact.

CirculationVol. 152(Suppl_3)
Louisiana State University in Shreveport (US), Louisiana State University Health Sciences Center Shreveport (US)
Openalex Percentile: Top 58%
Impact of Technology on Adolescents
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