The Relationship between Mother’s Smartphone Addiction and Children’s Smartphone Usage
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Objective As smartphone use is becoming more common, the age of initial exposure to devices is becoming younger. Young children’s screen use is influenced by various factors; it is more directly dependent on family environment than school-aged children. Our study aimed to examine the effect of mother’s smartphone addition on their child’s smartphone use. Methods Participants were from the Kids Cohort for Understanding of internet addiction Risk factors in early childhood (K-CURE) study. Adult smartphone addiction self-diagnosis scale was used to evaluate smartphone addiction degree of mother. Child’s smartphone use was assessed by parental questionnaire. Using logistic regression analysis, we examine the association between mother’s smartphone addiction and child’s smartphone use. Results After adjusting for other factors, mother’s smartphone addiction is related with early smartphone exposure of children. Highrisk group’s children was exposed to smartphone earlier than low risk group (adjusted OR, 0.418; p=0.021). Contrary to expectation, there is no correlation between mother’s smartphone addiction and child’s smartphone use time. Conclusion Our study explain that mother’s smartphone addiction can affect early smartphone exposure on children. Based on our findings, further study might explore the effect of early smartphone exposure on children.
Abstract
Objective As smartphone use is becoming more common, the age of initial exposure to devices is becoming younger. Young children’s screen use is influenced by various factors; it is more directly dependent on family environment than school-aged children. Our study aimed to examine the effect of mother’s smartphone addition on their child’s smartphone use. Methods Participants were from the Kids Cohort for Understanding of internet addiction Risk factors in early childhood (K-CURE) study. Adult smartphone addiction self-diagnosis scale was used to evaluate smartphone addiction degree of mother. Child’s smartphone use was assessed by parental questionnaire. Using logistic regression analysis, we examine the association between mother’s smartphone addiction and child’s smartphone use. Results After adjusting for other factors, mother’s smartphone addiction is related with early smartphone exposure of children. Highrisk group’s children was exposed to smartphone earlier than low risk group (adjusted OR, 0.418; p=0.021). Contrary to expectation, there is no correlation between mother’s smartphone addiction and child’s smartphone use time. Conclusion Our study explain that mother’s smartphone addiction can affect early smartphone exposure on children. Based on our findings, further study might explore the effect of early smartphone exposure on children.
참고문헌 (35)
- Smith A, "Smartphone Ownership-2013 Update", Pew Research Center : Washington DC;, 12, pp.2013~ (2013)
- Poushter J, "Social media use continues to rise in developing countries but plateaus across developed ones", Pew Res Center, 22, pp.2~19 (2018)
- Smartphone Overdependence in 2018, "The Survey Internet", pp.2019, ICT KMoSa
- The Survey on Smartphone Overdependence in 2019, "ICT MoSa", Korean National Information Society Agency, ~ (2020)
- 장형윤, "Electronic Media Exposure and Use among Toddlers", PSYCHIATRY INVESTIGATION, 15(6), pp.568~573 (2018), 대한신경정신의학회[DOI]
- Kabali HK, "Exposure and use of mobile media devices by young children", Pediatrics, 136, pp.1044~1050 (2015)
- Kostyrka Allchorne K, "Touchscreen generation : children’s current media use, parental supervision methods and attitudes towards contemporary media", Acta Paediatr, 106, pp.654~662 (2017)
- Extremera N, "The role of cognitive emotion regulation strategies on problematic smartphone use : comparison between problematic and non-problematic adolescent users", Int J Environ Res Public Health, 16, pp.3142~ (2019)
- Demirci K, "Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students", J Behav Addict, 4, pp.85~92 (2015)
- McDonald SW, "Risk factors for delayed social emotional development and behavior problems at age two : Results from the All Our Babies", Families(AOB, Health Sci Rep, pp.2018, 1[DOI]
- Lin LY, "Effects of television exposure on developmental skills among young children", Infant Behva Develop, 38, pp.20~26 (2015)
- Canadian Paediatric Society DHTFOO, "Screen time and young children : promoting health and development in a digital world", Paediatr Child Health, 22, pp.461~477 (2017)
- Reid Chassiakos YL, "Children and adolescents and digital media", Pediatrics, 138, pp.e20162593~ (2016)
- 이주영, "Psychosocial Risk Factors Associated with Internet Addiction in Korea", PSYCHIATRY INVESTIGATION, 11(4), pp.380~386 (2014), 대한신경정신의학회[DOI]
- Lam LT, "Parental mental health and Internet Addiction in adolescents", Addict Behav, 42, pp.20~23 (2015)
- Zhang H, "Young adults’ internet addiction : prediction by the interaction of parental marital conflict and respiratory sinus arrhythmia", Int J Psychophysiol, 120, pp.148~156 (2017)
- 이동윤, "Trends in Digital Media Use in Korean Preschool Children", Journal of Korean Medical Science, 34(41), pp.1~10 (2019), 대한의학회
- Development of Korean Smart Phone Addiction Proneness Scale for Youth and Adults, "Shin K", Korean National Information Society Agency, ~ (2011)
- Perez-Padilla J, "Validity of the Parenting Stress Index Short Form in a sample of at-risk mothers", Eval Rev, 39, pp.428~446 (2015)
- Beck AT, "An inventory for measuring depression", Arch Gen Psychiatry, 4, pp.561~571 (1961)
- 성형모, "한국어판 백 우울 설문지 2판의 신뢰도 및 타당도 연구", 생물치료정신의학, 14(2), pp.201~212 (2008), 대한생물치료정신의학회
- Beck AT, "An inventory for measuring clinical anxiety : psychometric properties", J Consult Clin Psychol, 56, pp.893~897 (1988)
- Perez-Padilla J, "Validity of the Parenting Stress Index Short Form in a aample of at-risk mothers", Eval Rev, 39, pp.428~446 (2015)
- 이은호, "Reliability and Validity of the Beck Depression Inventory-II among Korean Adolescents", PSYCHIATRY INVESTIGATION, 14(1), pp.30~36 (2017), 대한신경정신의학회[DOI]
- Beck AT, "An inventory for measuring clinical anxiety : psychometric properties", J Consult Clin Psychol, 56, pp.893~897 (1988)
- Younes F, "Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students : A cross-sectional designed study", PLoS one, 11, pp.e0161126~ (2016)
- Bernardi S, "Internet addiction : a descriptive clinical study focusing on comorbidities and dissociative symptoms", Compr Psychiatry, 50, pp.510~516 (2009)
- Ko CH, "Factors predictive for incidence and remission of internet addiction in young adolescents : a prospective study", CyberPsychol Behav, 10, pp.545~551 (2007)
- Milani L, "Quality of interpersonal relationships and problematic Internet use in adolescence", CyberPsychol Behav, 12, pp.681~684 (2009)
- Beard CL, "Age of initiation and internet gaming disorder : the role of self-esteem", Cyberpsychol Behav Soc Netw, 20, pp.397~401 (2017)
- Carson V, "Associations between factors within the home setting and screen time among children aged 0-5 years : a cross-sectional study", BMC Public Health, 12, pp.539~ (2012)
- Schoeppe S, "How is adults’ screen time behaviour influencing their views on screen time restrictions for children? A cross-sectional study", BMC Public Health, 16, pp.201~ (2016)
- Hwang Y, "Predictors of parental mediation regarding children’s smartphone use", Cyberpsychol Behav Soc Netw, 18, pp.737~743 (2015)
- Boumosleh JM, "Depression, anxiety, and smartphone addiction in university students-A cross sectional study", PLoS one, 12, pp.e0182239~ (2017)
- Kim HJ, "Relationship among family environment, self-control, friendship quality, and adolescents’ smartphone addiction in South Korea : findings from nationwide data", PLoS one, 13, pp.e0190896~ (2018)