1 |
Ministry of Science and ICT and National Information Society Agency: 2018 the survey on smart phone overdepedndence. ICT and National Information Society Agency, Daegu, pp.33-39, 2018.
|
2 |
Ha TH, Beak HG: A study on relationships between youth smart phone addiction and mind health, and parameter effect of school life adaptation. J Korean Assoc Comput Educ 17: 147-159, 2014.
DOI
|
3 |
Kim NR, Yoo KU, Kim JH, Lee KH: The concept map on smartphone stress factors based on the life-stage (adolescent, undergraduate, and office worker). Korean J Health Psychol 22: 745-777, 2017.
DOI
|
4 |
Lim HS, Kim SK: Analysis of health habit and hair mineral nutrition status of media addicted adolescent. J Nutr Health 51: 295-306, 2018. https://doi.org/10.4163/jnh.2018.51.4.295
DOI
|
5 |
No UK: Meta-analysis about relationship between adolescents' smartphone addiction and mental health. J Res Educ 31: 141-168, 2018.
|
6 |
Jeong MK, Kim GM, Jung HH, Park SK: The association between smartphone dependence trends and body mass index & health fitness in adolescents. J Sport Leis Stud 78: 461-469, 2019.
DOI
|
7 |
Park MH, Song HY: Relationship among the Korean adolescents obesity, health behavior and smart phone usage. J Korean Public Health Nurs 33: 47-58, 2019. https://doi.org/10.5932/JKPHN.2019.33.1.47
DOI
|
8 |
Hancox RJ, Milne BJ, Poulton R: Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet 364: 257-262, 2004. https://doi.org/10.1016/S0140-6736(04)16675-0
DOI
|
9 |
Blum RW, Garell D, Hodgman CH, et al.: Transition from child-centered to adult health-care systems for adolescents with chronic conditions. A position paper of the Society for Adolescent Medicine. J Adolesc Health 14: 570-576, 1993. https://doi.org/10.1016/1054-139x(93)90143-d
DOI
|
10 |
Jang MH, Park CG: Risk factors influencing probability and severity of elder abuse in community-dwelling older adults: applying zero-inflated negative binomial modeling of abuse count data. J Korean Acad Nurs 42: 819-832, 2012. https://doi.org/10.4040/jkan.2012.42.6.819
DOI
|
11 |
Caliendo M, Kopeinig S: Some practical guidance for the implementation of propensity score matching. J Econ Surv 22: 31-72, 2008. https://doi.org/10.1111/j.1467-6419.2007.00527.x
DOI
|
12 |
Rosenbaum PR, Rubin DB: The central role of the propensity score in observational studies for causal effects. Biometrika 70: 41-55, 1983.
DOI
|
13 |
Cho HS: A study on the solution for the internet, smartphone, and internet game addiction of teenagers. Korean J Youth Stud 26: 291-310, 2019. https://doi.org/10.21509/KJYS.2019.10.26.10.291
DOI
|
14 |
Kim EJ, Kim SY: Correlation between smartphone addiction and eating behaviors of elementary school students in Ansan area. J Korean Soc Food Sci Nutr 44: 1007-1015, 2015. https://doi.org/10.3746/jkfn.2015.44.7.1007
DOI
|
15 |
Do KY: Impact of health risk factors on the oral health of Korean adolescents: Korea youth risk behavior web-based survey, 2013. J Dent Hyg Sci 16: 193-199, 2016. https://doi.org/10.17135/jdhs.2016.16.3.193
DOI
|
16 |
Namkoong EJ, Ma DS: Correlation between oral health behaviors and problematic experiences associated with smartphone use in adolescents. J Korean Acad Oral Health 43: 157-162, 2019.
DOI
|
17 |
Heo HH, Che XH, Jeong WJ, Chung HJ: Evaluation of community interventions to reduce health inequity in socioeconomically vulnerable populations. Korean J Health Educ Promot 34: 1-13, 2017. https://doi.org/10.14367/kjhep.2017.34.2.1
|
18 |
Cockerham WC, Sharp K, Wilcox JA: Aging and perceived health status. J Gerontol 38: 349-355, 1983. https://doi.org/10.1093/geronj/38.3.349
DOI
|