The purpose of the current study was to examine the risk factors of young children’s smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents’ lack of control over children’s smartphone use (t = −4.523; 95% confidence interval [CI], −7.32, −1.72), and parents’ higher smartphone addiction proneness (t = 6.340;95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children.The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

The purpose of the current study was to examine the risk factors of young children’s smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents’ lack of control over children’s smartphone use (t = −4.523; 95% confidence interval [CI], −7.32, −1.72), and parents’ higher smartphone addiction proneness (t = 6.340;95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children.The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

The purpose of the current study was to examine the risk factors of young children’s smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents’ lack of control over children’s smartphone use (t = −4.523; 95% confidence interval [CI], −7.32, −1.72), and parents’ higher smartphone addiction proneness (t = 6.340;95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children.The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

The purpose of the current study was to examine the risk factors of young children’s smartphone addiction in a longitudinal study design. Data collected from 313 participants (mean age, 4.5 ± 0.82 years; male, 49.8%) over 4 years for Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood were analyzed in this study. Mixed effect models were used to evaluate the influence of various variables on the repeated measures of smartphone addiction tendency in young children over time. The multi-level analysis showed that parents’ lack of control over children’s smartphone use (t = −4.523; 95% confidence interval [CI], −7.32, −1.72), and parents’ higher smartphone addiction proneness (t = 6.340;95% CI, 0.23, 0.440) predicted higher smartphone addiction tendency in young children.The responsibility of the parents to prevent their children from becoming addicted to smartphones should start in a very early age when they start using the smartphones.

PURPOSE: This study was done to examine relationships between nurse staffing level and postsurgical patient outcomes using inpatient database from the National Health Insurance. METHODS: Records of 111,491 patients who received one of 12 types of surgery between January and December, 2009 were identified and analyzed in this study. Nurse staffing level was measured using adjusted nurse staffing grades from 0 to 7. Patient outcomes were defined as in-hospital mortality, or pneumonia, sepsis, or urinary tract infection after surgery. Logistic regression analyses estimated by Generalized Estimation Model, were used to analyze the association between nurse staffing level and patient outcomes. RESULTS: An inverse relationship was found between nurse staffing and patient mortality. Compared with patients who were cared for in hospitals with the highest nurse staffing (Grades 0-1), increases in the odds of dying were found in those with Grades 6-7 [OR (odds ratio)=2.99, 95% CI (confidence interval)=1.94-4.60], those with Grades 4-5 (OR=1.78, 95% CI=1.24-2.57) and those with Grades 2-3 (OR=1.57, 95% CI=1.25-1.98). Lower nurse staffing level was also associated with higher number of cases in pneumonia and sepsis. CONCLUSION: Policies for providing adequate nurse staffing is required to enhance quality of care and lead to better perioperative patient outcomes.
Adult ; Aged ; Aged, 80 and over ; Female ; *Hospital Mortality ; Hospitals ; Humans ; Logistic Models ; Male ; Middle Aged ; Nursing Staff, Hospital/*supply & distribution ; Odds Ratio ; Outcome Assessment (Health Care) ; Pneumonia/etiology/*mortality ; Sepsis/etiology/*mortality ; Severity of Illness Index ; Surgical Procedures, Operative/adverse effects ; Urinary Tract Infections/etiology/*mortality

OBJECTIVE: These days, young children are exposed to a wide range of smart devices and their usage of smart devices is rapidly increasing worldwide. However, the use of smart devices by young children has not been studied in detail yet because smart device is relatively recent. The purpose of this study was to investigate the exposure status of smart devices among 2–5 years old children in Korea. METHODS: Four hundred parents of 2- to 5-year-old children were invited to enroll. Data on demographic information and the frequency of media use, time of media use, age at first use of media was self-reported. RESULTS: Among 390 toddlers, 39.3% watched TV almost every day, while 12.0% of children used smartphone on a daily basis. During weekdays, 48% of the children watched TV for over an hour. On weekends, 63.1% of the children watched TV for over an hour. On weekends, 23.4% of children use their smartphones for over an hour. Children using smartphones before 24 months of age were 31.3%. CONCLUSION: Research has shown that TV and smartphones are the most popular digital devices used by toddlers. Most toddlers began using smart devices at 12–24 months. This study provides comprehensive information on children’s contemporary use of media.
Child ; Child, Preschool ; Humans ; Korea ; Parents ; Smartphone

BACKGROUND: Children today are exposed to various media devices, and their usage of these is increasing. Prior studies have outlined forms of harm this can potentially cause. However, there has been little empirical research on the use of media devices among preschool children in Asia. The aim of this study was to examine and analyze longitudinal trends in media device use among Korean preschool children, focusing on the frequency of engagement, time spent with, and ownership of media devices, delineated by sex. METHODS: Four hundred parents of children aged 2–5 years were invited to enroll. The baseline assessment, Wave 1, was conducted between December 2015 and June 2016, and follow-up assessments, Wave 2 and Wave 3, were conducted annually for the following 2 years. Time of media use, frequency of media use, and ownership of media devices (TV, tablet PCs, and smartphones) were investigated. RESULTS: Ownership of tablet PCs increased significantly between Wave 1 and Wave 3 for boys and girls (corrected P < 0.001). Frequency of media use increased significantly between Wave 1 and Wave 3 only in boys' use of tablet PCs (mean difference 0.8 day/wk). Time of media use increased significantly between Wave 1 and Wave 3 for both sexes in all devices, measured by mean difference on weekdays and weekends (TV by 0.6 and 0.7 hr/day, tablet PCs by 0.6 and 0.8 hr/day, and smartphones by 0.4 and 0.4 hr/day). Children spent more time using media devices during weekends than on weekdays. CONCLUSION: This study observed an increase in the tendency of media device use among preschool children in Korea. The patterns of use indicate that paying attention to the types of devices children use is needed, as well as vigilance on weekends.
Asia ; Child ; Child, Preschool ; Empirical Research ; Female ; Follow-Up Studies ; Humans ; Korea ; Ownership ; Parents ; Smartphone

Background: Coronavirus disease 2019 (COVID-19) is different from previous disasters in that it continues to the present and has affected all aspects of family life. During epidemics, psychosocial support is not less important than infection control. During COVID-19-related school closures, prolonged partial closures of schools could have detrimental social and health consequences for children and may increase the burden on the family. Based on a community sample in Korea, this study identified parental concerns, children's media usage, other various factors and examined whether parental stress level or depression were positively associated with problem behaviors, media exposure, and sleep problems of the primary school children during school closure under COVID-19. Methods: Participants were 217 parents residing in Suwon, South Korea, who had primary school children and responded to a web-based questionnaire on parental concerns from school closure under COVID-19, subjective stress, depression, whether having received mental health services, and family characteristics; children's sleep patterns, problem behaviors, media usage during the online-only class period, and changes in activity level following the pandemic. Results: During school closure, children gained body weight, spent less time in physical activities and more in media usage. Besides online learning content (97.2%), YouTube was highly used content (87.6%), and games followed (78.3%). Parental subjective stress index was highly associated with parental depression (Pearson correlation 0.439, P < 0.001), children's sleep problems (0.283, P < 0.001), tablet time (0.171, P = 0.012) and behavior problems (0.413, P < 0.001). Parental depression was associated with children's sleep problems (0.355, P < 0.001), TV time (0.153, P = 0.024), tablet time (0.159, P = 0.019), and behavior problems (0.524, P < 0.001). Parents who previously received mental services seemed to be more concerned about the problems their children already have getting worse because of COVID-19 than the disease itself. Children's sleep problem was associated with tablet (0.172, P = 0.011) and smartphone time (0.298, P < 0.001), but not its frequency. Conclusion During COVID-19-related school closures, many parents and children had various difficulties relating to mental health. Ongoing monitoring of mental health of highrisk groups and multiple support systems may need to be expanded to cover those parents having difficulty in caring for their children.

Background: Coronavirus disease 2019 (COVID-19) is different from previous disasters in that it continues to the present and has affected all aspects of family life. During epidemics, psychosocial support is not less important than infection control. During COVID-19-related school closures, prolonged partial closures of schools could have detrimental social and health consequences for children and may increase the burden on the family. Based on a community sample in Korea, this study identified parental concerns, children's media usage, other various factors and examined whether parental stress level or depression were positively associated with problem behaviors, media exposure, and sleep problems of the primary school children during school closure under COVID-19. Methods: Participants were 217 parents residing in Suwon, South Korea, who had primary school children and responded to a web-based questionnaire on parental concerns from school closure under COVID-19, subjective stress, depression, whether having received mental health services, and family characteristics; children's sleep patterns, problem behaviors, media usage during the online-only class period, and changes in activity level following the pandemic. Results: During school closure, children gained body weight, spent less time in physical activities and more in media usage. Besides online learning content (97.2%), YouTube was highly used content (87.6%), and games followed (78.3%). Parental subjective stress index was highly associated with parental depression (Pearson correlation 0.439, P < 0.001), children's sleep problems (0.283, P < 0.001), tablet time (0.171, P = 0.012) and behavior problems (0.413, P < 0.001). Parental depression was associated with children's sleep problems (0.355, P < 0.001), TV time (0.153, P = 0.024), tablet time (0.159, P = 0.019), and behavior problems (0.524, P < 0.001). Parents who previously received mental services seemed to be more concerned about the problems their children already have getting worse because of COVID-19 than the disease itself. Children's sleep problem was associated with tablet (0.172, P = 0.011) and smartphone time (0.298, P < 0.001), but not its frequency. Conclusion During COVID-19-related school closures, many parents and children had various difficulties relating to mental health. Ongoing monitoring of mental health of highrisk groups and multiple support systems may need to be expanded to cover those parents having difficulty in caring for their children.

Objectives: This study identified the association between excessive exposure to screen media and behavioral and emotional problems in elementary school students. Methods: A total of 331 parents of children aged 7–10 years were recruited from “The Kids Cohort for Understanding of Internet Addiction Risk Factors in Early Childhood (K-CURE)” study. Children’s demographics, household media ownership, screen time, and behavioral/emotional problems were assessed using a parental questionnaire. Children’s behavior/emotional problems were measured using the Korean version the of Child Behavior Checklist (K-CBCL) score. Results: The total K-CBCL score in the screen overuse group was 51.18±9.55, significantly higher than 47.28±10.09 in the control group (t=2.14, p=0.05). For each subscale, the externalization score (51.65±10.14, 48.33±8.97, respectively; t=2.02, p<0.05), social problem score (55.41±6.11, 53.24±5.19, respectively; t=2.27, p<0.05), and rule breaking behavior score (55.71±6.11, 53.24±5.19, respectively; t=2.27, p<0.05) were significantly higher in the screen overuse group than in the control group. In addition, the screen overuse group also had a significantly higher usage rate than the control group, even if limited to smartphones, not only on weekdays (3.56±2.08, 1.87±2.02, respectively; t=-4.597, p<0.001) but also weekends (1.62±0.74, 1.19±0.83, respectively; t=-3.14, p=0.003). Conclusion The study suggested that screen media overuse patterns in children in Korea are particularly relevant to the excessive use of smartphones and are related to higher risks of emotional and behavioral problems.