• KACHN
  • Contact us
  • E-Submission
ABOUT
BROWSE ARTICLES
EDITORIAL POLICY
FOR CONTRIBUTORS

Page Path

10
results for

"Cell phone"

Filter

Article category

Keywords

Publication year

Authors

Funded articles

"Cell phone"

Original Articles

Smartphone Use Patterns of Smartphone-dependent Children
Jeong Hye Park
Child Health Nurs Res 2020;26(1):47-54.   Published online January 31, 2020
DOI: https://doi.org/10.4094/chnr.2020.26.1.47
Purpose
The purpose of this study was to identify the smartphone use patterns of smartphone-dependent children.
Methods
The study design was a cross-sectional descriptive study. The data were derived from the 2017 survey on smartphone overdependence conducted by the Ministry of Science and ICT and the National Information Society Agency. The study sample was 595 elementary school students identified as being smartphone-dependent. The data were analyzed by frequency, percentage, mean, standard deviation, the independent t-test, the x2 test, the Pearson correlation coefficient, and multiple regression analysis.
Results
The frequency of smartphone use was the factor strongly associated with more severe smartphone dependence in participants. Games were the most commonly used application type among participants, regardless of their degree of dependence. More severe smartphone dependence was associated with greater use of applications such as learning and television/video.
Conclusion
As smartphone dependence becomes more severe, children tend to use their smartphones more frequently and to use applications that involve solitary play for the purposes of entertainment and pleasure. The findings suggest that the parents should attentively monitor their children’s smartphone use patterns and provide consistent discipline in a way that ensures appropriate smartphone use.

Citations

Citations to this article as recorded by  
  • Parental Smartphone Dependency and Its Impact on Child Smartphone Use: Insights From a National Survey
    Hyeon Jo, Pil‐Tae Hong, Xin‐Ran Li
    Child Abuse Review.2026;[Epub]     CrossRef
  • FACTORS ASSOCIATED WITH SMARTPHONE OVERDEPENDENCE IN PRESCHOOL CHILDREN AND ITS EFFECT ON SOCIAL BEHAVIORAL PROBLEMS
    Leyla Çakmak, Fikriye Aksoy Boğanak, Nurettin Menteş, Mustafa Volkan
    Sağlık ve Sosyal Refah Araştırmaları Dergisi.2025; 7(1): 43.     CrossRef
  • Tiny but functional? Unpacking the role of smartphones in driving digital transformation in school administration and teaching practices
    Mehmet Durnali
    Education and Information Technologies.2025; 30(16): 23111.     CrossRef
  • Does meeting physical activity guidelines mitigate smartphone dependence? Evidence from Korean elementary students using propensity score matching and difference-in-differences analysis
    Kyoungjin Yang, Sungho Kwon, Juhyeong Kim
    International Journal of Sport and Exercise Psycho.2025; : 1.     CrossRef
  • Influence of the Policy of Prohibiting the Use of Mobile Phones in Schools on the Situation of Cyberbullying in Russia and Abroad
    A. A. Bateeva
    Discourse.2025; 11(5): 88.     CrossRef
  • From temperament to YouTube: exploring the link between childhood temperament, YouTube usage patterns, and emotional/behavioral problems among children
    Donghee Kim, Sangha Lee, Hyojin Kim, Yunmi Shin
    BMC Public Health.2024;[Epub]     CrossRef
  • Predicting Smartphone Addiction Trajectories in Korean Adolescents: A Longitudinal Analysis of Protective and Risk Factors Based on a National Survey from 2018 to 2020
    Kyung-Yi Do, Chun-Bae Kim
    Asia Pacific Journal of Public Health.2024; 36(6-7): 550.     CrossRef
  • Evidence for and against banning mobile phones in schools: A scoping review
    Marilyn Campbell, Elizabeth J Edwards, Donna Pennell, Shiralee Poed, Victoria Lister, Jenna Gillett-Swan, Adrian Kelly, Dajana Zec, Thuy-Anh Nguyen
    Journal of Psychologists and Counsellors in School.2024; 34(3): 242.     CrossRef
  • Padrão de uso de smartphones e tablets em crianças de até cinco anos de idade na Espanha: um estudo transversal
    Sonia de Paz-Cantos, Adrián González-Marrón, Cristina Lidón-Moyano, Maria Cerrato-Lara, Ana Díez-Izquierdo, Jose M Martínez-Sánchez
    Revista Latino-Americana de Enfermagem.2024;[Epub]     CrossRef
  • Patrón de uso de smartphones y tablets en niños de hasta 5 años en España: estudio transversal
    Sonia de Paz-Cantos, Adrián González-Marrón, Cristina Lidón-Moyano, Maria Cerrato-Lara, Ana Díez-Izquierdo, Jose M Martínez-Sánchez
    Revista Latino-Americana de Enfermagem.2024;[Epub]     CrossRef
  • Smartphone and tablet use pattern in children up to 5 years old in Spain: a cross-sectional study
    Sonia de Paz-Cantos, Adrián González-Marrón, Cristina Lidón-Moyano, Maria Cerrato-Lara, Ana Díez-Izquierdo, Jose M Martínez-Sánchez
    Revista Latino-Americana de Enfermagem.2024;[Epub]     CrossRef
  • Improvement of Presbyopia, Dry Eye, Intraocular Pressure, and Near Vision Through Cassiae Tea Consumption
    Mei Fan, Jen-Lin Hung, Shao-Huan Hung, Li-Chai Chen, Chi-Ting Horng
    Medicina.2024; 61(1): 35.     CrossRef
  • Special Issue: Rethinking educational practices and responsibilities in the light of digitalisation
    Lisa Paleczek, Eva Pölzl-Stefanec, Katrhin Otrel-Cass
    International Journal of Educational Research.2023; 119: 102075.     CrossRef
  • The impact of smartphone use on learning effectiveness: A case study of primary school students
    Jen Chun Wang, Chia-Yen Hsieh, Shih-Hao Kung
    Education and Information Technologies.2023; 28(6): 6287.     CrossRef
  • Relationship Between Obesogenic Family Environment, Children’s Smartphone Usage, and Depressive Symptoms
    Betül Orhan Kılıç, Serhat Kılıç, Eylem Gül Ateş, Abduljabar Adı, Sami Dalati, Luai Shaaban, Efe Sevim, Dilek Konuksever
    Turkish Journal of Pediatric Disease.2023; 17(4): 279.     CrossRef
  • Beyond Screen Time: The Different Longitudinal Relations between Adolescents’ Smartphone Use Content and Their Mental Health
    Shunsen Huang, Xiaoxiong Lai, Yajun Li, Yang Cui, Yun Wang
    Children.2023; 10(5): 770.     CrossRef
  • Rethinking classifications and metrics for problematic smartphone use and dependence: Addressing the call for reassessment
    Saqib Nawaz
    Computers in Human Behavior Reports.2023; 12: 100327.     CrossRef
  • Behavior Analysis of Social Media Use Among Adolescents
    Ardi Maulana Nugraha, Ichsan Ichsan, Mustika Wati Alfia Ningtyas, Abdul Samad Arief, Pandu adi Cakranegara
    SinkrOn.2022; 7(2): 399.     CrossRef
  • Pengasuhan Digital Keluarga Nelayan terhadap Penggunaan Smartphone pada anak usia 3-7 tahun
    Inas Bilqis Nusaibah, Ainin Shofiyah
    Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini.2022; 6(3): 2215.     CrossRef
  • Correlation between Smartphone Addiction Risk with Anxiety Level of Elementary Schooler in Surabaya
    M Ahda Naufal Aflahudin, Nining Febriyana, Lilik Djuari, Rizal
    Jurnal Psikiatri Surabaya.2022; 11(1): 25.     CrossRef
  • Development of educational media in assessing the growth and development of toddlers
    G. L. Handayani, V. Dewi, S. Elrifda, T. Rihiantoro, M. Rusdi, Haryanto
    International Journal of Science Annals.2021; 4(2): 9.     CrossRef
  • 38,452 View
  • 310 Download
  • 21 Crossref
Relationships Among Preschoolers’ Smartphone Addiction Tendency, Their Problem Behaviors, and Parenting Efficacy of Their Mothers
Hyun-Joo Lee, Sun-Mi Chae, Kyung-Sook Bang, Heeseung Choi
Child Health Nurs Res 2015;21(2):107-114.   Published online April 30, 2015
DOI: https://doi.org/10.4094/chnr.2015.21.2.107
Purpose
The purpose of this study was to explore the relationships among preschoolers’ smartphone addiction tendency, problem behaviors, and parenting efficacy of the mothers of these children.
Methods
A cross-sectional, descriptive study design was used with self-administered questionnaires. A total of 83 mothers of preschoolers aged 4-6 years and their preschool teachers from a kindergarten participated in the study.
Results
Mean daily time spent by the preschoolers on smartphones was about 45 minutes/day. About 40% spent more than 60 minutes/day on smartphones. The majority (69.8%) used smartphones without adult supervision. The level of smartphone addiction tendency among the pre-schoolers was 1.52±0.45 on a 4-point scale. Preschoolers whose mothers use smartphones for more than 60 minutes/day showed a higher level of smartphone addiction tendency than preschoolers whose mothers use smartphones for less than 60 minutes/day. Also smartphone addiction tendency among preschoolers had a positive correlation with hyperactive-distractible behavior (r = .228, p = .038) and a negative correlation with parenting efficacy of their mothers (r = -.299, p = .006).
Conclusion
Our findings demonstrated that preschooler’s smartphone addiction tendency is significantly associated with hyperactive-distractible behaviors of the children and low parenting efficacy among their mothers. Therefore well-designed care plans for these populations should be provided to decrease smartphone addiction tendency.

Citations

Citations to this article as recorded by  
  • Types and contexts of child mobile screen use and associations with early childhood behavior
    Sumudu R. Mallawaarachchi, Jeromy Anglim, Sharon Horwood
    Early Childhood Research Quarterly.2025; 70: 274.     CrossRef
  • Addressing the impact of smartphone use on children’s health: a comprehensive analysis of physical, psychological, social, and behavioral effects
    Mohammed Said Obeidat, Faten Hani AL-Shalabi
    Theoretical Issues in Ergonomics Science.2025; 26(5): 690.     CrossRef
  • Parent-Child Relationships and Children’s Addiction to Smartphones: A Review of International Studies
    Victor P. Sheinov
    RUDN Journal of Psychology and Pedagogics.2025; 22(1): 75.     CrossRef
  • Prevalence, determinants and consequences of problematic smartphone use among preschoolers (3–5 years) from Dhaka, Bangladesh: A cross-sectional investigation
    Faruq Abdulla, Md. Moyazzem Hossain, Mohammed Nazmul Huq, Abdul Hai, Azizur Rahman, Russell Kabir, Farhana Jahan Peya, Sinigdha Islam, Hafiz T.A. Khan
    Journal of Affective Disorders.2023; 329: 413.     CrossRef
  • Associations of smartphone and tablet use in early childhood with psychosocial, cognitive and sleep factors: a systematic review and meta-analysis
    Sumudu R. Mallawaarachchi, Jeromy Anglim, Merrilyn Hooley, Sharon Horwood
    Early Childhood Research Quarterly.2022; 60: 13.     CrossRef
  • Parental Factors Associated with Smartphone Overuse in Preschoolers: A Systematic Review and Meta-Analysis
    Gumhee Lee, Sungjae Kim, Heajin Yu
    Journal of Korean Academy of Nursing.2020; 50(3): 349.     CrossRef
  • Pathway from Maternal Parenting Efficacy, Inappropriate Motives for Allowing Smart Devices, and Smart Device Dependency to Preschoolers’ Ability to Understand Minds
    Yun Mi Park, Min Ju Kang
    Korean Journal of Child Studies.2020; 41(6): 9.     CrossRef
  • Factors associated with Smartphone Overdependency in Preschool Children
    MinJung Lee, SungHee Park
    Child Health Nursing Research.2018; 24(4): 383.     CrossRef
  • Effects of the Age at First Use of Smart Devices and the Amount of Time to Use Smart Devices on the Externalizing Problem Behavior of Infants and the Moderating Roles of Maternal Managing Behavior
    Yoon Kyung Kim, Ho Jung Kim, Mi Kyung Yoon, Ju Hee Park
    Family and Environment Research.2018; 56(6): 541.     CrossRef
  • Effects of Hyperactivity Tendency and Ego-Resiliency on Smartphone Game Overflow Among Young Children
    Ha Ra Ban, Nary Shin
    Korean Journal of Child Studies.2017; 38(4): 117.     CrossRef
  • 14,010 View
  • 259 Download
  • 10 Crossref
PURPOSE
This study was done to develop an education program on cell phone use for elementary school students, and examine its effects on their knowledge, attitude, self-efficacy, and self-control in cell phone use.
METHODS
The study was designed using a nonequivalent control group pretest-posttest design. The participants were 64 elementary school students (31 in the experimental group and 33 in the control group). Students in the experimental group were given the education program on cell phone use. The data were analyzed using the SPSS/WIN 19.0 program.
RESULTS
Students in the experimental group reported increased knowledge and attitude regarding cell phone use which were significantly higher than students in the control group (p<.001, p<.001). But, self-efficacy and self-control for students in the experimental group were not different from those in the control group.
CONCLUSION
The study results indicate that the education program for cell phone use is effective in increasing knowledge and attitude regarding cell phone use in elementary school students.

Citations

Citations to this article as recorded by  
  • Effects of a Prevention Program for Media Addiction on Television Addiction, Internet Addiction, Cellular Addiction, and Impulsiveness in Elementary School Students.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(4): 270.     CrossRef
  • 5,094 View
  • 66 Download
  • 1 Crossref

Validation Studies

Development and Validation Study of a Cell Phone Addiction Scale for Korean Children.
Hyun Young Koo, Myung Sook Yoo
J Korean Acad Child Health Nurs 2012;18(2):76-84.
DOI: https://doi.org/10.4094/jkachn.2012.18.2.76
PURPOSE
This study was done to develop a cell phone addiction scale for Korean children.
METHODS
The process included construction of a conceptual framework, generation of initial items, verification of content validity, selection of secondary items, preliminary study, and extraction of final items. The participants were 268 children from grades 4 to 6 in two urban elementary schools. Construct validity, internal consistence reliability, and split-half reliability were used to analyze the data.
RESULTS
Nine items were categorized into 2 factors explaining 61.29% of total variance. The factors were labeled as obsessive compulsion (6 items) and dependency (3 items). Cronbach's alpha coefficient for the 9 items was .87, and Spearman-Brown coefficient was .83. Scale scores identified children as high risk users, at risk users, or average users by standard scores.
CONCLUSION
The above findings indicate that the cell phone addiction scale for children has good validity and reliability when used with Korean children.

Citations

Citations to this article as recorded by  
  • Development of a Cell Phone Addiction Scale for Korean Parents of Young Children.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(1): 29.     CrossRef
  • Effects of a Prevention Program for Media Addiction on Television Addiction, Internet Addiction, Cellular Addiction, and Impulsiveness in Elementary School Students.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(4): 270.     CrossRef
  • 4,560 View
  • 30 Download
  • 2 Crossref
Original Articles
PURPOSE
This study was done to develop a cell phone addiction prevention program for middle school students, and to examine the effects of the program on self-esteem, self-efficacy, impulsiveness, and cell phone use.
METHODS
The study was designed using a nonequivalent control group pre-test-post-test design. The participants were 63 middle school students (31 in the experimental group and 32 in the control group). Students in the experimental group were given the cell phone addiction prevention program. The data were analyzed using the SPSS/WIN 14.0 program.
RESULTS
Students in the experimental group reported a significant increase in self-esteem compared to students in the control group. Students in the experimental group also reported a significant decrease in cell phone use compared to students in the control group.
CONCLUSION
The results of the study indicate that the cell phone addiction prevention program was effective in increasing self-esteem and decreasing cell phone use in middle school students.

Citations

Citations to this article as recorded by  
  • Self-concept clarity and Internet addiction disorder among junior high school students: A moderate mediation model
    Yue Wang, Weiyi Tang, Lei Cao, Ying Li
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • A Systematic Review of Prevention and Intervention Strategies for Smartphone Addiction in Students: Applicability During the COVID-19 Pandemic
    Xiao-xia Liu Liu
    Journal of Evidence-Based Psychotherapies.2021; 21(2): 1.     CrossRef
  • Problematic cell phone use, depression, anxiety, and self-regulation: Evidence from a three year longitudinal study from adolescence to emerging adulthood
    Sarah M. Coyne, Laura Stockdale, Kjersti Summers
    Computers in Human Behavior.2019; 96: 78.     CrossRef
  • Relationship between Knowledge, Attitude and Practice of Breast-Self Examination among Middle and High School Girls
    Shin Jeong Kim, Jung Min Lee, Hae Young Min, Hye Young Min
    Child Health Nursing Research.2017; 23(2): 147.     CrossRef
  • Effects of Self Esteem, Impulsive Behavior and Mental Health on Cellular Phone Addiction of Adolescents
    Hea-Shoon Lee
    The Journal of the Korea Contents Association.2014; 14(6): 200.     CrossRef
  • Effects of a Prevention Program for Media Addiction on Television Addiction, Internet Addiction, Cellular Addiction, and Impulsiveness in Elementary School Students.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(4): 270.     CrossRef
  • Effects of a Cell Phone Use Education Program on Knowledge, Attitude, Self-efficacy, and Self-control of Cell Phone Use in Elementary School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2012; 18(3): 109.     CrossRef
  • 6,596 View
  • 153 Download
  • 7 Crossref
Educational Needs for Prevention of Cell Phone Addiction in Korean Adolescents.
Hyun Young Koo, Hyun Sook Park
J Korean Acad Child Health Nurs 2010;16(4):304-313.
DOI: https://doi.org/10.4094/jkachn.2010.16.4.304
PURPOSE
This study was done to develop an educational needs scale for the prevention of cell phone addiction and to investigate the educational needs for prevention of cell phone addiction in Korean adolescents.
METHODS
The participants were 609 adolescents in one middle school and two high schools. Data were collected through self-report questionnaires, and analyzed using the SPSS program.
RESULTS
Twenty items regarding the educational needs for prevention of cell phone addiction were selected for the final scale, and categorized into 3 factors (diagnosis and management, properties, and definition and actual condition) which explained 61.09% of the total variance. The educational needs for the prevention of cell phone addiction in adolescents were moderate, with items related to diagnosis and management ranked as most important. The educational needs for prevention of cell phone addiction varied by gender, grade, academic achievement, perception of health status, satisfaction with school, and text messaging participants.
CONCLUSION
The findings indicate that educational needs for diagnosis and management of cell phone addiction ranked as most important in adolescents. Therefore, programs related to the prevention and management of cell phone addiction based on the educational needs of adolescents should be provided.

Citations

Citations to this article as recorded by  
  • Development and Effects of a Prevention Program for Cell Phone Addiction in Middle School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2011; 17(2): 91.     CrossRef
  • 4,898 View
  • 30 Download
  • 1 Crossref
Cell Phone Addiction in Highschool Students and Its Predictors.
Hyun Young Koo
J Korean Acad Child Health Nurs 2010;16(3):203-210.
DOI: https://doi.org/10.4094/jkachn.2010.16.3.203
PURPOSE
This study was done to identify cell phone addiction in high school students and variables predicting this addiction.
METHODS
The participants were 469 adolescents from four high schools. Data were collected through self-report questionnaires, and analyzed using the SPSS program.
RESULTS
Of the high school students, 88.4% reported being average users, 7.5%, heavy users, and 4.1%, cell phone addicted. Cell phone addiction was significantly correlated with immediate self-control, self-efficacy, depression, and peer support. Predictors of cell phone addiction were the following: receiving text message on weekends, immediate self-control, main use (text message), minute per call on weekdays, listening to music, gender (female), monthly call charges, depression, person called (friends), and self-efficacy. These factors explained 39% of variance in cell phone addiction.
CONCLUSION
The above findings indicate that cell phone addiction in high school students was influenced by gender, cell phone use, and psychological factors. Therefore the approach to effective cell phone addiction management for high school students is to consider these variables when developing programs for these students.

Citations

Citations to this article as recorded by  
  • The relationship between problematic internet use, WhatsApp and personality
    Cristina Bernal-Ruiz, Ana Isabel Rosa-Alcázar
    Europe’s Journal of Psychology.2022; 18(1): 6.     CrossRef
  • Smartphone addiction in students: A qualitative examination of the components model of addiction using face-to-face interviews
    Sayma Jameel, Mohammad Ghazi Shahnawaz, Mark D. Griffiths
    Journal of Behavioral Addictions.2019; 8(4): 780.     CrossRef
  • Cell Phone Use Habits Among the Spanish Population: Contribution of Applications to Problematic Use
    José De-Sola, Gabriel Rubio, Hernán Talledo, Luis Pistoni, Henk Van Riesen, Fernando Rodríguez de Fonseca
    Frontiers in Psychiatry.2019;[Epub]     CrossRef
  • Fatal Attractions: Attachment to Smartphones Predicts Anthropomorphic Beliefs and Dangerous Behaviors
    Jessica E. Bodford, Virginia S.Y. Kwan, David S. Sobota
    Cyberpsychology, Behavior, and Social Networking.2017; 20(5): 320.     CrossRef
  • Prevalence of problematic cell phone use in an adult population in Spain as assessed by the Mobile Phone Problem Use Scale (MPPUS)
    José de-Sola, Hernán Talledo, Fernando Rodríguez de Fonseca, Gabriel Rubio, Aviv M. Weinstein
    PLOS ONE.2017; 12(8): e0181184.     CrossRef
  • Development of a Brief Multicultural Version of the Test of Mobile Phone Dependence (TMDbrief) Questionnaire
    Mariano Chóliz, Lourdes Pinto, Sukanya S. Phansalkar, Emily Corr, Ayman Mujjahid, Conni Flores, Pablo E. Barrientos
    Frontiers in Psychology.2016;[Epub]     CrossRef
  • Cell-Phone Addiction: A Review
    José De-Sola Gutiérrez, Fernando Rodríguez de Fonseca, Gabriel Rubio
    Frontiers in Psychiatry.2016;[Epub]     CrossRef
  • Cell Phone Addiction in School-Age Children and Related Factors.
    Hyun Young Koo, Eun Jung Kim
    Child Health Nursing Research.2015; 21(1): 55.     CrossRef
  • Effects of Self-Control and School Adjustment on Smartphone Addiction among Elementary School Students
    Jeongmin Lee, Boram Cho
    International Journal of Contents.2015; 11(3): 1.     CrossRef
  • Development of a Cell Phone Addiction Scale for Korean Parents of Young Children.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(1): 29.     CrossRef
  • Effects of a Cell Phone Use Education Program on Knowledge, Attitude, Self-efficacy, and Self-control of Cell Phone Use in Elementary School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2012; 18(3): 109.     CrossRef
  • Development and Effects of a Prevention Program for Cell Phone Addiction in Middle School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2011; 17(2): 91.     CrossRef
  • 9,048 View
  • 141 Download
  • 12 Crossref
Factors Influencing Cell Phone Addiction in Adolescents.
Hyun Young Koo, Hyun Sook Park
J Korean Acad Child Health Nurs 2010;16(1):56-65.
DOI: https://doi.org/10.4094/jkachn.2010.16.1.56
PURPOSE
This study was done to identify factors influencing cell phone addiction in adolescents.
METHODS
The participants were 548 adolescents in two middle schools and four high schools. Data were collected through self-report questionnaires which were constructed to include a cell phone addiction scale, an impulsiveness scale, media specific factors, and cell phone use. The data were analyzed using the SPSS program.
RESULTS
Of the adolescents, 88.7% reported being average users, 8.4%, heavy users, and 2.9%, cell phone addicted. Cell phone addiction was significantly correlated with impulsiveness and media specific factors. Significant factors influencing cell phone addiction were gender, sending and receiving text messages on weekends, monthly call charges, impulsiveness, recreational reasons, and cultural reasons.
CONCLUSION
The above findings indicate that cell phone addiction in adolescents is influenced by gender, text message use, call charges, impulsiveness and media specific factors. Therefore the development of prevention and management programs for cell phone addiction in adolescents should be based on these factors which influence cell phone addiction.

Citations

Citations to this article as recorded by  
  • Nomophobia and Health Hazards: Smartphone Use and Addiction Among University Students
    Azra Daei, Hasan Ashrafi-rizi, Mohammad Reza Soleymani
    International Journal of Preventive Medicine.2019;[Epub]     CrossRef
  • Disability and haptic mobile media
    Gerard Goggin
    New Media & Society.2017; 19(10): 1563.     CrossRef
  • Development of a Brief Multicultural Version of the Test of Mobile Phone Dependence (TMDbrief) Questionnaire
    Mariano Chóliz, Lourdes Pinto, Sukanya S. Phansalkar, Emily Corr, Ayman Mujjahid, Conni Flores, Pablo E. Barrientos
    Frontiers in Psychology.2016;[Epub]     CrossRef
  • Effects on mobile phone functional use of ego resilience, peer attachment and mobile phone-related characteristics in male and female middle school students - focused on uses of SNS & messenger, music and internet in era of convergence-
    Eun-Ju Kim
    Journal of Digital Convergence.2016; 14(8): 383.     CrossRef
  • Comparison of Factors associated with SmartPhone over-Usage: Focusing on Self-Control, Mental health and Interrelationship
    Hee-Jung Jang, Youn-Kyoung Kwag
    Journal of the Korea Academia-Industrial cooperati.2015; 16(1): 146.     CrossRef
  • Relationships between Self-Control and Addictive Mobile Phone Use by Nursing Students
    Mi Sook Kim, Sue Kyung Sohn
    Journal of the Korea Academia-Industrial cooperati.2014; 15(11): 6719.     CrossRef
  • Factors Affecting Smartphone Addiction among University Students
    Gyoo-Yeong Cho, Yun-Hee Kim
    Journal of the Korea Academia-Industrial cooperati.2014; 15(3): 1632.     CrossRef
  • The influence of internet addiction on health behavior, sexual behavior and mental health of college student
    Mun-Hee Nam, Jeoung-Mi Kim
    Journal of Digital Convergence.2014; 12(4): 367.     CrossRef
  • Effects of Self Esteem, Impulsive Behavior and Mental Health on Cellular Phone Addiction of Adolescents
    Hea-Shoon Lee
    The Journal of the Korea Contents Association.2014; 14(6): 200.     CrossRef
  • Effects of a Prevention Program for Media Addiction on Television Addiction, Internet Addiction, Cellular Addiction, and Impulsiveness in Elementary School Students.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(4): 270.     CrossRef
  • Analysis of Gender Difference in Time Perspectives and Relationship with Self-Efficacy about Mobile Phone Addiction of Adolescent
    Jung-Suk Hyun, Chan-Jung Park, Hwan-Ho Ha
    The Journal of the Korea Contents Association.2013; 13(6): 412.     CrossRef
  • Development of a Cell Phone Addiction Scale for Korean Parents of Young Children.
    Hyun Young Koo
    Child Health Nursing Research.2013; 19(1): 29.     CrossRef
  • The Janus Face of the 'New Ways of Work': Rise, Risks and Regulation of Nomadic Work
    Jan Popma
    SSRN Electronic Journal.2013;[Epub]     CrossRef
  • Effects of a Cell Phone Use Education Program on Knowledge, Attitude, Self-efficacy, and Self-control of Cell Phone Use in Elementary School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2012; 18(3): 109.     CrossRef
  • Development and Validation Study of a Cell Phone Addiction Scale for Korean Children
    Hyun-Young Koo, Myung-Sook Yoo
    Journal of Korean Academy of Child Health Nursing.2012; 18(2): 76.     CrossRef
  • Factors related to the Overuse of Mobile Phone in Elementary School Students
    Kyoung Sook Lee, Hwang Ran Ahn, Kyung Hee Lee
    Journal of Korean Academy of Psychiatric and Menta.2011; 20(3): 271.     CrossRef
  • Development and Effects of a Prevention Program for Cell Phone Addiction in Middle School Students
    Hyun-Young Koo
    Journal of Korean Academy of Child Health Nursing.2011; 17(2): 91.     CrossRef
  • Cell Phone Addiction in Highschool Students and Its Predictors
    Hyun Young Koo
    Journal of Korean Academy of Child Health Nursing.2010; 16(3): 203.     CrossRef
  • Educational Needs for Prevention of Cell Phone Addiction in Korean Adolescents
    Hyun Young Koo, Hyun Sook Park
    Journal of Korean Academy of Child Health Nursing.2010; 16(4): 304.     CrossRef
  • 21,349 View
  • 271 Download
  • 19 Crossref
Cell Phone Addiction in School-Age Children and Related Factors.
Hyun Young Koo, Eun Jung Kim
Child Health Nurs Res 2015;21(1):55-63.
DOI: https://doi.org/10.4094/CHNR.2015.21.1.55
PURPOSE
The purpose of this study was to identify cell phone addiction in school-age children and factors influencing addiction.
METHODS
The participants were 163 parents of elementary school students in the 1st to 4th grades. Data were collected through self-report questionnaires completed by the parents, and analyzed using the SPSS/WIN 19.0 IBM program.
RESULTS
Of the children, 86.5% were reported as being average users, 9.2%, at risk users, and 4.3%, at high risk users. Cell phone addiction in the children was significantly different according to games played by the children and parents' monthly income. Significant factors influencing cell phone addiction in the children were children's self-control, games played by the children, parents' cell phone addiction and parental control for children's cell phone use, explaining 24% of variance in cell phone addiction.
CONCLUSION
The findings indicate that cell phone addiction in school-age children is influenced by parent-related factors as well as personal factors. Therefore approaches to education programs on cell phone use in school-age children should include parent-related factors as well as personal factors of the children.

Citations

Citations to this article as recorded by  
  • Development and psychometric analysis of the smombie scale for adolescents
    Sunhee Park, Sumi Oh
    Journal of Pediatric Nursing.2024; 75: 89.     CrossRef
  • Smartphone Use Patterns of Smartphone-dependent Children
    Jeong Hye Park
    Child Health Nursing Research.2020; 26(1): 47.     CrossRef
  • A Study on the Longitudinal Relation Between Early Adolescents' Mobile Phone Dependency and Self-Regulated Learning Using an Autoregressive Cross-Lagged Modeling: Multigroup Analysis Across Gender
    Yea-Ji Hong, Soon-Hyung Yi
    Korean Journal of Child Studies.2016; 37(4): 17.     CrossRef
  • Influence of Parental Media Use, Educational Needs, and Media Guidance for Children on Children’s Media Use
    Hyun-Young Koo, Eun-Jung Kim
    Child Health Nursing Research.2015; 21(2): 183.     CrossRef
  • Longitudinal Relationship between Addictive Use of Mobile Phones and Learning Activities for Elementary School Students : Multiple and Complex Group Analysis across Gender
    Sang-Min Jun
    Journal of Digital Convergence.2015; 13(8): 267.     CrossRef
  • 13,254 View
  • 362 Download
  • 5 Crossref
PURPOSE
This study was done to develop a cell phone addiction scale for Korean parents of young children, and to evaluate the reliability and validity of the developed scale.
METHODS
The scale was developed through construction of a conceptual framework, generation of initial items, verification of content validity, selection of secondary items, preliminary study, and extraction of final items. Participants were 465 parents and 178 children. Data were analyzed using item analysis, factor analysis, criterion related validity, internal consistency, and split-half reliability.
RESULTS
Twenty items were categorized into three factors explaining 60.3% of total variance. Factors were named as withdrawal - 4 items, loss of control - 9 items, and persistence - 7 items. Scores for the scale were significantly correlated with self-control, impulsiveness, cell phone use, and cell phone addiction of children as measured by a scale for Korean children. Cronbach's alpha coefficient for the 20 items was .94, and Guttman coefficient was .87. Scale scores identified children as high risk users, at risk users, or average users by standard scores.
CONCLUSION
The results suggest that the cell phone addiction scale for Korean parents is a reliable and valid instrument to measure cell phone addiction in young children.

Citations

Citations to this article as recorded by  
  • Development and Validation of an Ego Strength Scale for Early School-Age Children
    Se Young Kim
    Korean Journal of Child Studies.2018; 39(6): 175.     CrossRef
  • Cell Phone Addiction in School-Age Children and Related Factors.
    Hyun Young Koo, Eun Jung Kim
    Child Health Nursing Research.2015; 21(1): 55.     CrossRef
  • Development of Korean Smartphone Addiction Proneness Scale for Youth
    Dongil Kim, Yunhee Lee, Juyoung Lee, JeeEun Karin Nam, Yeoju Chung, Amanda Bruce
    PLoS ONE.2014; 9(5): e97920.     CrossRef
  • 9,812 View
  • 93 Download
  • 3 Crossref
TOP