1.Prevalence and Factors Influencing Behavioral Addictions among School Adolescents: A Study in the Gwangju-Jeonnam Region
Narae KIM ; Bo-Hyun YOON ; Hyunju YUN ; Hyoung-Yeon KIM ; Ha-Ran JUNG ; Yuran JEONG ; Suhee PARK ; Young-Hwa SEA
Mood and Emotion 2025;23(1):11-20
Background:
The aim of this study is to evaluate the prevalence and associated psychosocial factors of behavioral addictions among school adolescents living in the Gwangju and Jeonnam regions in Korea.
Methods:
A self-reported survey was conducted from December 4, 2023, to January 31, 2024, including 855 middle and high school students residing in the Gwangju-Jeonnam regions. Aside from the information on demographic characteristics, data on depression, anxiety, Internet gaming addiction, gambling problems, and resilience was obtained.
Results:
The prevalence of Internet gaming addiction among adolescents was 5.4%, while the prevalence of gambling problems was 3.3%. The male adolescents had a significantly higher risk of behavioral addiction compared with the female adolescents. The logistic regression analysis revealed that male and depression were significant risk factors for Internet gaming addiction. For gambling problems, male was identified as a significant risk factor.
Conclusion
The findings of this study suggested that the prevalence of behavioral addiction among school adolescents has been relatively higher than that of previous studies, emphasizing the need for community-based prevention and intervention strategies tailored to the sex difference and psychological factors associated with adolescent behavioral addictions.
2.Prevalence and Factors Influencing Behavioral Addictions among School Adolescents: A Study in the Gwangju-Jeonnam Region
Narae KIM ; Bo-Hyun YOON ; Hyunju YUN ; Hyoung-Yeon KIM ; Ha-Ran JUNG ; Yuran JEONG ; Suhee PARK ; Young-Hwa SEA
Mood and Emotion 2025;23(1):11-20
Background:
The aim of this study is to evaluate the prevalence and associated psychosocial factors of behavioral addictions among school adolescents living in the Gwangju and Jeonnam regions in Korea.
Methods:
A self-reported survey was conducted from December 4, 2023, to January 31, 2024, including 855 middle and high school students residing in the Gwangju-Jeonnam regions. Aside from the information on demographic characteristics, data on depression, anxiety, Internet gaming addiction, gambling problems, and resilience was obtained.
Results:
The prevalence of Internet gaming addiction among adolescents was 5.4%, while the prevalence of gambling problems was 3.3%. The male adolescents had a significantly higher risk of behavioral addiction compared with the female adolescents. The logistic regression analysis revealed that male and depression were significant risk factors for Internet gaming addiction. For gambling problems, male was identified as a significant risk factor.
Conclusion
The findings of this study suggested that the prevalence of behavioral addiction among school adolescents has been relatively higher than that of previous studies, emphasizing the need for community-based prevention and intervention strategies tailored to the sex difference and psychological factors associated with adolescent behavioral addictions.
3.Prevalence and Factors Influencing Behavioral Addictions among School Adolescents: A Study in the Gwangju-Jeonnam Region
Narae KIM ; Bo-Hyun YOON ; Hyunju YUN ; Hyoung-Yeon KIM ; Ha-Ran JUNG ; Yuran JEONG ; Suhee PARK ; Young-Hwa SEA
Mood and Emotion 2025;23(1):11-20
Background:
The aim of this study is to evaluate the prevalence and associated psychosocial factors of behavioral addictions among school adolescents living in the Gwangju and Jeonnam regions in Korea.
Methods:
A self-reported survey was conducted from December 4, 2023, to January 31, 2024, including 855 middle and high school students residing in the Gwangju-Jeonnam regions. Aside from the information on demographic characteristics, data on depression, anxiety, Internet gaming addiction, gambling problems, and resilience was obtained.
Results:
The prevalence of Internet gaming addiction among adolescents was 5.4%, while the prevalence of gambling problems was 3.3%. The male adolescents had a significantly higher risk of behavioral addiction compared with the female adolescents. The logistic regression analysis revealed that male and depression were significant risk factors for Internet gaming addiction. For gambling problems, male was identified as a significant risk factor.
Conclusion
The findings of this study suggested that the prevalence of behavioral addiction among school adolescents has been relatively higher than that of previous studies, emphasizing the need for community-based prevention and intervention strategies tailored to the sex difference and psychological factors associated with adolescent behavioral addictions.
4.Prevalence and Factors Influencing Behavioral Addictions among School Adolescents: A Study in the Gwangju-Jeonnam Region
Narae KIM ; Bo-Hyun YOON ; Hyunju YUN ; Hyoung-Yeon KIM ; Ha-Ran JUNG ; Yuran JEONG ; Suhee PARK ; Young-Hwa SEA
Mood and Emotion 2025;23(1):11-20
Background:
The aim of this study is to evaluate the prevalence and associated psychosocial factors of behavioral addictions among school adolescents living in the Gwangju and Jeonnam regions in Korea.
Methods:
A self-reported survey was conducted from December 4, 2023, to January 31, 2024, including 855 middle and high school students residing in the Gwangju-Jeonnam regions. Aside from the information on demographic characteristics, data on depression, anxiety, Internet gaming addiction, gambling problems, and resilience was obtained.
Results:
The prevalence of Internet gaming addiction among adolescents was 5.4%, while the prevalence of gambling problems was 3.3%. The male adolescents had a significantly higher risk of behavioral addiction compared with the female adolescents. The logistic regression analysis revealed that male and depression were significant risk factors for Internet gaming addiction. For gambling problems, male was identified as a significant risk factor.
Conclusion
The findings of this study suggested that the prevalence of behavioral addiction among school adolescents has been relatively higher than that of previous studies, emphasizing the need for community-based prevention and intervention strategies tailored to the sex difference and psychological factors associated with adolescent behavioral addictions.
5.Prevalence and Factors Influencing Behavioral Addictions among School Adolescents: A Study in the Gwangju-Jeonnam Region
Narae KIM ; Bo-Hyun YOON ; Hyunju YUN ; Hyoung-Yeon KIM ; Ha-Ran JUNG ; Yuran JEONG ; Suhee PARK ; Young-Hwa SEA
Mood and Emotion 2025;23(1):11-20
Background:
The aim of this study is to evaluate the prevalence and associated psychosocial factors of behavioral addictions among school adolescents living in the Gwangju and Jeonnam regions in Korea.
Methods:
A self-reported survey was conducted from December 4, 2023, to January 31, 2024, including 855 middle and high school students residing in the Gwangju-Jeonnam regions. Aside from the information on demographic characteristics, data on depression, anxiety, Internet gaming addiction, gambling problems, and resilience was obtained.
Results:
The prevalence of Internet gaming addiction among adolescents was 5.4%, while the prevalence of gambling problems was 3.3%. The male adolescents had a significantly higher risk of behavioral addiction compared with the female adolescents. The logistic regression analysis revealed that male and depression were significant risk factors for Internet gaming addiction. For gambling problems, male was identified as a significant risk factor.
Conclusion
The findings of this study suggested that the prevalence of behavioral addiction among school adolescents has been relatively higher than that of previous studies, emphasizing the need for community-based prevention and intervention strategies tailored to the sex difference and psychological factors associated with adolescent behavioral addictions.
6.Student Engagement in Student Support System Reform: A Case Study
Yena JANG ; Seo Yoon KIM ; Ji Yoon KANG ; Donghwa KANG ; Na Hyeon KWEON ; Ga Yeon KIM ; Narae KIM ; Sang Hun KIM ; Seongwoo KIM ; Juhee KIM ; Chae Yeon KIM ; Shinyoung PARK ; Ju Yeon PARK ; Ji Su PARK ; Geon Ho LEE ; Bora IM ; Bo Young YOON
Korean Medical Education Review 2023;25(2):174-183
Educational evaluation involves data collection and the analysis of various education-related factors to make decisions that improve educational quality. Systematic educational evaluation is essential for enhancing the quality of education. This study reports a case of student-conducted process evaluation of a medical school’s student support system and the procedure for devising improvement plans. Sixteen Inje University College of Medicine students participated in the Education Evaluation Committee (IUCM-EEC) to understand the educational improvement process as learners and actively achieve improvement. The Quality Improvement Committee of the Inje University College of Medicine (IUCM-QIC) decided to reform its student support system based on a previous educational evaluation in 2019. The evaluation of the student support system was conducted for 10 months in 2021 by the student subcommittee, under the guidance of the IUCM-EEC. The CIPP (context-input-process-product) evaluation model was used for a systematic evaluation. Accordingly, the subcommittee developed evaluation criteria and indicators, and analyzed relevant data collected from surveys and the previous literature. For further recommendations and revision ideas, the student subcommittee members interviewed faculty members from six other medical schools and also conducted a focus group interview with the dean and vice deans of IUCM. Finally, the student subcommittee submitted a report to the IUCM-QIC. Communication with various stakeholders is essential for a successful evaluation process. In this case, students, as key stakeholders in education, evaluated the student support system. Their active participation helped improve their understanding of the evaluation process.
7.A Study of the Reliability and Validity of the Korean Version of DSM-5 Symptom Measure–Inattention and Anger for Parent and Guardian of Child Age 6 to 17
Shin MIN-SUP ; Bung-Nyun KIM ; Minji CHO ; Mirae JANG ; Hanbyul SHIN ; Ryemi DO ; Hyungseo PARK ; Narae YOON ; Gahye NOH ; Jae-Won SONG ; Yebin AHN ; Jiyoon SHIN ; Soomin JANG ; Eunjung NOH ; Eunhwa LEE
Journal of the Korean Academy of Child and Adolescent Psychiatry 2023;34(1):59-59
8.Alterations in Social Brain Network Topology at Rest in Children With Autism Spectrum Disorder
Narae YOON ; Youngmin HUH ; Hyekyoung LEE ; Johanna Inhyang KIM ; Jung LEE ; Chan-Mo YANG ; Soomin JANG ; Yebin D. AHN ; Mee Rim OH ; Dong Soo LEE ; Hyejin KANG ; Bung-Nyun KIM
Psychiatry Investigation 2022;19(12):1055-1068
Objective:
Underconnectivity in the resting brain is not consistent in autism spectrum disorder (ASD). However, it is known that the functional connectivity of the default mode network is mainly decreased in childhood ASD. This study investigated the brain network topology as the changes in the connection strength and network efficiency in childhood ASD, including the early developmental stages.
Methods:
In this study, 31 ASD children aged 2–11 years were compared with 31 age and sex-matched children showing typical development. We explored the functional connectivity based on graph filtration by assessing the single linkage distance and global and nodal efficiencies using resting-state functional magnetic resonance imaging. The relationship between functional connectivity and clinical scores was also analyzed.
Results:
Underconnectivities within the posterior default mode network subregions and between the inferior parietal lobule and inferior frontal/superior temporal regions were observed in the ASD group. These areas significantly correlated with the clinical phenotypes. The global, local, and nodal network efficiencies were lower in children with ASD than in those with typical development. In the preschool-age children (2–6 years) with ASD, the anterior-posterior connectivity of the default mode network and cerebellar connectivity were reduced.
Conclusion
The observed topological reorganization, underconnectivity, and disrupted efficiency in the default mode network subregions and social function-related regions could be significant biomarkers of childhood ASD.
9.A Study of the Reliability and Validity of the Korean Version of DSM-5 Symptom Measure–Inattention and Anger for Parent and Guardian of Child Age 6 to 17
Min-Sup SHIN ; Bung-Nyun KIM ; Minji CHO ; Mirae JANG ; Hanbyul SHIN ; Ryemi DO ; Hyungseo PARK ; Narae YOON ; Gahye NOH ; Jae-Won SONG ; Yebin AHN ; Jiyoon SHIN ; Soomin JANG ; Eunjung NOH ; Eunhwa LEE
Journal of the Korean Academy of Child and Adolescent Psychiatry 2021;32(2):71-78
Objectives:
This study was conducted to investigate the reliability and validity of the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure–inattention [Swanson, Nolan and Pelham, version IV (SNAP-IV)] and anger [Patient-Reported Outcome Measurement Information System (PROMIS) Anger] for parents and guardians of children aged 6–17 years.
Methods:
We included 104 children and adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD), ADHD with anxiety and depression, depressive disorder, anxiety disorder, and tic disorder with somatic symptoms (ADHD=41, depression=9, anxiety=14, ADHD+anxious depression=11, tic+somatic symptoms=29). Their ages ranged from 8 years to 15 years. The participants’ mothers completed the SNAP-IV, PROMIS Anger scale, Korean version of the IOWA Conners Rating Scale (K-IOWA), and Korean ADHD Rating Scale (K-ARS) so that the reliability and validity of the SNAP-IV and PROMIS Anger scales, which are DSM-5 scales for assessing inattention and anger of children and adolescents, could be examined.
Results:
The reliability coefficient of SNAP-IV (Cronbach’s α) was 0.94. The correlation coefficients between SNAP-IV, K-IOWA inattention, and K-ARS inattention scores ranged from 0.73 to 0.86. The mean SNAP-IV scores of the ADHD and the ADHD+anxious depression groups were significantly higher than those of the anxiety and the tic+somatic symptoms groups. The reliability coefficient of the PROMIS Anger was 0.91. The correlation coefficient between PROMIS Anger and K-IOWA oppositional/defiant scores was 0.75.The PROMIS Anger mean score of the ADHD+anxious depression group tended to be higher than that of the other groups.
Conclusion
These results suggest that the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure–inattention and anger for parent and guardian of child age 6–17 might be a reliable and valid test and may be useful for screening children and adolescents with ADHD.
10.A Study of the Reliability and Validity of the Korean Version of DSM-5 Symptom Measure–Inattention and Anger for Parent and Guardian of Child Age 6 to 17
Min-Sup SHIN ; Bung-Nyun KIM ; Minji CHO ; Mirae JANG ; Hanbyul SHIN ; Ryemi DO ; Hyungseo PARK ; Narae YOON ; Gahye NOH ; Jae-Won SONG ; Yebin AHN ; Jiyoon SHIN ; Soomin JANG ; Eunjung NOH ; Eunhwa LEE
Journal of the Korean Academy of Child and Adolescent Psychiatry 2021;32(2):71-78
Objectives:
This study was conducted to investigate the reliability and validity of the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure–inattention [Swanson, Nolan and Pelham, version IV (SNAP-IV)] and anger [Patient-Reported Outcome Measurement Information System (PROMIS) Anger] for parents and guardians of children aged 6–17 years.
Methods:
We included 104 children and adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD), ADHD with anxiety and depression, depressive disorder, anxiety disorder, and tic disorder with somatic symptoms (ADHD=41, depression=9, anxiety=14, ADHD+anxious depression=11, tic+somatic symptoms=29). Their ages ranged from 8 years to 15 years. The participants’ mothers completed the SNAP-IV, PROMIS Anger scale, Korean version of the IOWA Conners Rating Scale (K-IOWA), and Korean ADHD Rating Scale (K-ARS) so that the reliability and validity of the SNAP-IV and PROMIS Anger scales, which are DSM-5 scales for assessing inattention and anger of children and adolescents, could be examined.
Results:
The reliability coefficient of SNAP-IV (Cronbach’s α) was 0.94. The correlation coefficients between SNAP-IV, K-IOWA inattention, and K-ARS inattention scores ranged from 0.73 to 0.86. The mean SNAP-IV scores of the ADHD and the ADHD+anxious depression groups were significantly higher than those of the anxiety and the tic+somatic symptoms groups. The reliability coefficient of the PROMIS Anger was 0.91. The correlation coefficient between PROMIS Anger and K-IOWA oppositional/defiant scores was 0.75.The PROMIS Anger mean score of the ADHD+anxious depression group tended to be higher than that of the other groups.
Conclusion
These results suggest that the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure–inattention and anger for parent and guardian of child age 6–17 might be a reliable and valid test and may be useful for screening children and adolescents with ADHD.

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