The Relationship Between Social Media Use, Health Applications, and Metabolic Control in Young People with Type 1 Diabetes

Aim: This research aimed to determine the characteristics of social media and mobile/web application usage in young people with type 1 diabetes (T1D) and to examine its effects on their metabolic control. Materials and Methods:We enrolled 206 young people with T1D (aged 10-25 years) in this cross-sectional study.Face-to-face interviews were used to assess the relationships between their social media use, health practices, and metabolic control. Results:The participants (55% girls) had a mean age of 13.334.40years and a median diabetes duration of 4.83 years (interquartile range=7.31).The last 1-year average hemoglobin A1c (HbA1c) values were 8.021.39%.It was observed that HbA1c increased as daily phone usage time increased (r=0.18;p=0.01).The primary reason for internet use was accessing social media (73%).Other prevalent uses included watching movies (42%), alongside using health apps, playing games, and online shopping (each at 38%), and accessing education/information (37%).Blood sugar monitoring was the most frequently used application with 67 users (27.9%).It was followed by a pedometer (60 users; 25.0%) and carbohydrates counting (56 users; 23.3%).Less common applications included continuous glucose monitoring (26 users; 10.8%), care reminders (13 users; 5.4%), and pulse rate monitoring (9 users; 3.8%).The HbA1c values of those who used a blood sugar monitoring app were lower than those who did not use it (7.711.38;8.231.36p=0.01, respectively).Participants who used a pedometer app had a higher body mass index standard deviation score than non-users (0.531.11 vs. 0.320.99,respectively); however, this difference was not statistically significant (p=0.237). Conclusion:Health applications may support diabetes management in young people with T1D, while excessive digital engagement may negatively impact metabolic outcomes.

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Publication Details

Journal
The Journal of Pediatric Research
Published
2025-12-26
DOI
https://doi.org/10.4274/jpr.galenos.2025.50336
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

The Relationship Between Social Media Use, Health Applications, and Metabolic Control in Young People with Type 1 Diabetes

Günay Demir, Samim ÖZEN, Goksen Damla, Deniz Özalp Kızılay et al.
The Journal of Pediatric Research
Mobile Health and mHealth Applications
article

The Relationship Between Social Media Use, Health Applications, and Metabolic Control in Young People with Type 1 Diabetes

Günay Demir, Samim ÖZEN, Goksen Damla, Deniz Özalp Kızılay, Yasemin Atik Altınok
article en

Abstract

Aim: This research aimed to determine the characteristics of social media and mobile/web application usage in young people with type 1 diabetes (T1D) and to examine its effects on their metabolic control. Materials and Methods:We enrolled 206 young people with T1D (aged 10-25 years) in this cross-sectional study.Face-to-face interviews were used to assess the relationships between their social media use, health practices, and metabolic control. Results:The participants (55% girls) had a mean age of 13.334.40years and a median diabetes duration of 4.83 years (interquartile range=7.31).The last 1-year average hemoglobin A1c (HbA1c) values were 8.021.39%.It was observed that HbA1c increased as daily phone usage time increased (r=0.18;p=0.01).The primary reason for internet use was accessing social media (73%).Other prevalent uses included watching movies (42%), alongside using health apps, playing games, and online shopping (each at 38%), and accessing education/information (37%).Blood sugar monitoring was the most frequently used application with 67 users (27.9%).It was followed by a pedometer (60 users; 25.0%) and carbohydrates counting (56 users; 23.3%).Less common applications included continuous glucose monitoring (26 users; 10.8%), care reminders (13 users; 5.4%), and pulse rate monitoring (9 users; 3.8%).The HbA1c values of those who used a blood sugar monitoring app were lower than those who did not use it (7.711.38;8.231.36p=0.01, respectively).Participants who used a pedometer app had a higher body mass index standard deviation score than non-users (0.531.11 vs. 0.320.99,respectively); however, this difference was not statistically significant (p=0.237). Conclusion:Health applications may support diabetes management in young people with T1D, while excessive digital engagement may negatively impact metabolic outcomes.

The Journal of Pediatric ResearchVol. 12(4)
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Mobile Health and mHealth Applications
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The Relationship Between Social Media Use, Health Applications, and Metabolic Control in Young People with Type 1 Diabetes — Günay Demir, Samim ÖZEN, et al. · The Journal of Pediatric Research (2025) | TGRS Research Map | TGRS