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Original Articles
- Smartphone dependency latent profile classification and association with emotional and behavioral difficulties among high school students in Korea
- Eunjoo Kim, Min Kyung Song
- Res Community Public Health Nurs. 2024;35(1):84-98. Published online March 29, 2024
- DOI: https://doi.org/10.12799/rcphn.2024.00465
- 727 View
- 15 Download
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Abstract
PDF - Purpose
The pervasive integration of smartphones into adolescents’ daily lives has resulted in a concerning upsurge in smartphone dependency among high school students. Due to the diverse types and severity levels of smartphone dependency, there is a critical need for research to explore its heterogeneity. This study aimed to identify latent profile of smartphone dependency in high school students based on the four subdomains of smartphone dependency: disturbance of adaptive functions, virtual life orientation, withdrawal, and tolerance. In addition, we explored how emotional and behavioral difficulties differ according to the profiles.
Methods
We used data from 2,195 Korean high school students from the Korean Children and Youth Panel Survey 2018. Latent profile analysis (LPA) was performed to identify smartphone dependency latent profile. Statistical analysis including chi-square test, Analysis of Variance (ANOVA), and ranked Analysis of Covariance (ANCOVA) confirmed differences in smartphone use characteristics and emotional-behavioral difficulties according to the classified latent profile.
Results
LPA identified four distinct latent profiles of smartphone dependency among high school students; 1) Underdependent type, 2) Moderate type, 3) Habitual user type, and 4) Virtual space dependent type. The results of ranked ANCOVA, controlling for gender, geographical location, economic status, parental smartphone dependency, and relational variables, revealed that habitual user type exhibited significantly higher rates of attention deficit hyperactivity disorder, social withdrawal, and depressive symptoms compared to other types.
Conclusion
The identification of these profiles provides a foundation for developing tailored intervention programs for adolescents with different levels and patterns of smartphone dependency.
- Factors Affecting the Quality of Sleep in Young Adults
- Ae Kyung Chang, Kyung Hye Lee, Chong Mi Chang, Jin Yi Choi
- J Korean Acad Community Health Nurs. 2021;32(4):497-505. Published online December 31, 2021
- DOI: https://doi.org/10.12799/jkachn.2021.32.4.497
- 1,415 View
- 84 Download
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Abstract
PDF
- Purpose
The study aimed to identify the effects of sleep hygiene (use of caffeine, alcohol, night eating syndrome, stress, and coping styles), social network, and smartphone-related factors on quality of sleep in young adults.
Methods
This was a descriptive research design. Participants completed a questionnaire on evidence-based variables including caffeine intake, alcohol consumption, social network, night eating syndrome, stress, coping styles, and smartphone-related factors. Stepwise multiple regression was used for data analysis to identify factors that influenced the participants’ quality of sleep. This study included 288 young adults in South Korea.
Results
This study identified the factors affecting quality of sleep in young adults. Their average weekly sleep duration was 6.86 hours with low sleep quality, indicated by a score of 59.34 points (range 17-100). The predictors of sleep quality were sleep mood, sub-items of night eating syndrome, effects of pain over the last four weeks, and social networks, which explained 33% of the variance.
Conclusion
Sleep-induced diseases in young adults could be prevented by identifying sleep mood, pain, and social networks, which is important for health and using them as a basis for intervention.
- Smartphone Addiction and Depression: The Mediating Effects of Self-esteem and Resilience among Middle School Students
- Hye Jung Park, Eun Suk Choi
- J Korean Acad Community Health Nurs. 2017;28(3):280-290. Published online September 30, 2017
- DOI: https://doi.org/10.12799/jkachn.2017.28.3.280
- 879 View
- 7 Download
- 13 Citations
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Abstract
PDF
- PURPOSE
The aim of this research is to examine the moderating effects of self-esteem and resilience in the relationship between smartphone addiction and depression among middle school students.
METHODS
Data were collected from 324 middle school students in D City during the period of July 1st-17th, 2015. Multiple regression analysis, the Baron & Kenny's mediation verification, and Sobel test were conducted to measure the mediating effects of self-esteem and resilience on depression.
RESULTS
There were significant correlations among the variables; smartphone addiction, self-esteem, resilience, and depression. Self-esteem had a complete mediating effect(β=-.40, p<.001) in the relationship between smartphone addiction and depression(Sobel test: Z=4.68, p<.001). Resilience had a partial mediating effect(β=-.15, p<.001) in the relationship between smartphone addiction and depression(Sobel test: Z=2.40, p<.001).
CONCLUSION
This study suggests to apply self-esteem and resilience in developing nursing intervention programs for adolescent depression caused by smartphone addiction. -
Citations
Citations to this article as recorded by
- Impact of COVID-19 on Adolescents’ Smartphone Addiction in South Korea
JongSerl Chun, Hae Kook Lee, HyeSook Jeon, Jinyung Kim, Serim Lee
Social Work in Public Health.2023; 38(4): 268. CrossRef - Investigation Psychological Factors Effecting the Phubbing Behavior of Young Adults with Different Structural Equation Models
Faruk Caner YAM, Hatice KUMCAĞIZ
MANAS Sosyal Araştırmalar Dergisi.2023; 12(3): 1087. CrossRef - The Effect of Children’s Smartphone Overdependence on Problem Behaviors: The Mediating Effect of Sleep Problems
Bokyung Park, Seolheui Yoo
Korean Journal of Child Studies.2023; 44(3): 309. CrossRef - Mediating Effect of Stress Recognition on the Effect of Generalized Anxiety Disorder on Smartphone Dependence
Se Ryeon Lee, Eun-Yeob Kim, Seunghan Ha, Jaeyoung Kim
Journal of Clinical Medicine.2023; 12(23): 7359. CrossRef - ERGENLERDE DUYGU DÜZENLEME, PSİKOLOJİK SAĞLAMLIK VE OKULDA ÖZNEL İYİ OLUŞUN AKILLI TELEFON BAĞIMLILIĞI ÜZERİNDEKİ YORDAYICI ROLÜ
Mehmet Enes SAĞAR
Elektronik Sosyal Bilimler Dergisi.2022; 21(83): 926. CrossRef - Prospective Association Between Problematic Mobile Phone Use and Eating Disorder Symptoms and the Mediating Effect of Resilience in Chinese College Students: A 1-Year Longitudinal Study
Shaojie Li, Guanghui Cui, Yongtian Yin, Kaixuan Tang, Lei Chen, Xinyao Liu
Frontiers in Public Health.2022;[Epub] CrossRef - Mediating role of psychological resilience in the relationship between mindfulness and nomophobia
Ibrahim Arpaci, Selim Gundogan
British Journal of Guidance & Counselling.2022; 50(5): 782. CrossRef - Effects of a group mindfulness-based cognitive programme on smartphone addictive symptoms and resilience among adolescents: study protocol of a cluster-randomized controlled trial
Anson Chui Yan Tang, Regina Lai Tong Lee
BMC Nursing.2021;[Epub] CrossRef - Exploring psychosocial factors that influence smartphone dependency among Korean adolescents
Hyeon Sik Chu, Young Ran Tak, Hanyi Lee, Geilson Lima Santana
PLOS ONE.2020; 15(5): e0232968. CrossRef - Psychometric Properties of the Smartphone Addiction Scale – Short Version (SAS-SV) in a Sample of Iranian Adolescents
Sadeq Fallahtafti, Nikzad Ghanbaripirkashani, Seyed Shahram Alizadeh, Ramin Safiyari Rovoshi
International Journal of Developmental Science.2020; 14(1-2): 19. CrossRef - Predicting the Time Spent Playing Computer and Mobile Games among Medical Undergraduate Students Using Interpersonal Relations and Social Cognitive Theory: A Cross-Sectional Survey in Chongqing, China
Li Chen, Ruiyi Liu, Huan Zeng, Xianglong Xu, Rui Zhu, Manoj Sharma, Yong Zhao
International Journal of Environmental Research and Public Health.2018; 15(8): 1664. CrossRef - Short version of the Smartphone Addiction Scale in Chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates
Tzu Tsun Luk, Man Ping Wang, Chen Shen, Alice Wan, Pui Hing Chau, John Oliffe, Kasisomayajula Viswanath, Sophia Siu-chee Chan, Tai Hing Lam
Journal of Behavioral Addictions.2018; 7(4): 1157. CrossRef - The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder
Bernd Lachmann, Cornelia Sindermann, Rayna Y. Sariyska, Ruixue Luo, Martin C. Melchers, Benjamin Becker, Andrew J. Cooper, Christian Montag
Frontiers in Psychology.2018;[Epub] CrossRef
- Impact of COVID-19 on Adolescents’ Smartphone Addiction in South Korea
- The Effect of Depression and Smartphone Dependency on Female College Students' Career Decision-making Self Efficacy
- Hee Jung Choi, Jang Hak Yoo
- J Korean Acad Community Health Nurs. 2016;27(1):43-50. Published online March 31, 2016
- DOI: https://doi.org/10.12799/jkachn.2016.27.1.43
- 570 View
- 2 Download
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Abstract
PDF
- PURPOSE
The purpose of this study was to investigate the relationship of depression and smartphone dependency with female college students' career decision-making self efficacy.
METHODS
This was a descriptive study. The survey participants were 497 female college students in M City and S City. Data were collected from November 16 to December 4, 2015 using self-report questionnaires including BDI (Beck Depression Inventory), Smartphone Dependency Scale, and CDMSES-SF (Career Decision-Making Self Efficacy Scale-Short Form). Data were analyzed through descriptive statistics, independent-samples t-test, ANOVA, and stepwise multiple regression.
RESULTS
Career decision-making self efficacy showed significant differences according to religion. Smartphone dependency was found to have a statistically significant negative correlation with career decision-making self efficacy and a positive correlation with depression. Depression was found to have a statistically significant negative correlation with career decision-making self efficacy. Stepwise multiple regression analysis revealed that the predictors of career decision-making self efficacy were depression (7.1%), religion (1.8%), and smartphone dependency (1.3%), accounting for a total of 10.6% of the variance.
CONCLUSION
This study suggests that interventions to promote female college students' career decision-making self efficacy should consider their depression, religion, and smartphone dependency.
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