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

PURPOSE: This study was conducted to develop an empowering education program for Maternal-Fetal Intensive Care Unit (MFICU) nurses who provide intensive care to high-risk mother and fetus at hospitals, to test effects of the education program on nursing care confidence and nursing knowledge, and to examine program satisfaction. METHODS: This study comprised of 2 phases: program development and evaluation. First, we have followed a process of program development to develop and refine an empowering education program for MFICU nurses through collaborative works among clinical obstetrics and gynecology doctors and nurses and academic nursing professors. Second, the empowering education program was provided to 49 nurses and evaluated from July 5 to 6, 2019. Levels of MFICU nursing care confidence and knowledge were measured. RESULTS: The empowering education program included 18 hours of lectures, discussion, and Q & A, which continued for 2 days. This program significantly improved high-risk maternal-fetal nursing care confidence and knowledge of nurses. The program was well met with nurses' education need and goals, and found to be highly satisfactory. CONCLUSION: The empowering education program was observed to be effective in terms of improve nursing care confidence and knowledge of nurses in MFICU. It is proposed that this program should be open regularly for nurses to obtain and improve their clinical knowledge, confidence, and competency. Further study is needed to develop and run 2-levels of education such as basic and advanced levels based on nurses' clinical background and competency.
Critical Care ; Education ; Fetus ; Gynecology ; Humans ; Intensive Care Units ; Lectures ; Mothers ; Nursing ; Nursing Care ; Obstetrics ; Pregnancy, High-Risk ; Program Development

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

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: It is known that there are various factors associated with children's screen overuse. The aim of this study was to examine the effect of maternal depression on 2–5-year-old children's overuse of various household screen devices. METHODS: Participants were from the Internet-Cohort for Understanding of internet addiction Risk factors/Rescue in Early livelihood (I-CURE) study, an observational prospective cohort study in Korea. Screen time for six types of screen devices (smartphone, television, computer, tablet, video gaming console, and portable gaming console) were assessed by parental questionnaire. Maternal depression was measured by the Korean version of the Beck Depression Inventory II. Logistic regression models were run to determine the association between maternal depression and children's screen overuse. RESULTS: Maternal depression was associated with children's television overuse after adjusting for other factors (odds ratio, 1.954; P = 0.034). Contrary to expectation, the relationship between maternal depression and screen time was not present on other devices such as smartphones, computers and tablets. CONCLUSION: Maternal depression is related with 2–5-year-old children's television overuse. Interventions in maternal depressive symptoms and the associated changes in parent-child relationship can be useful for preventing children's television overuse.
Cohort Studies ; Computers, Handheld ; Depression* ; Family Characteristics ; Humans ; Internet ; Korea ; Logistic Models ; Parent-Child Relations ; Parents ; Prospective Studies ; Smartphone ; Tablets ; Television

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has led to a decrease in face-to-face classes worldwide, affecting the mental health of children and their parents. The global pandemic has increased children’s overall use of electronic media. This study analyzed the effect of children’s screen time on problematic behaviors during the COVID-19 pandemic. Methods: A total of 186 parents from Suwon, South Korea, were recruited to participate in an online survey. The mean age of the children was 10.14 years old, and 44.1% were females. The questionnaire included questions on children’s screen time, problematic behaviors, and parental stress. Children’s behavioral problems were evaluated using the Behavior Problem Index, whereas the Parental Stress Scale was used to estimate parental stress. Results: The mean smartphone usage frequency of the children was 5.35 days per week, and the mean smartphone screen time was 3.52 hours per day. Smartphone screen time (Z=4.49, p<0.001) and usage frequency (Z=2.75, p=0.006) were significantly correlated with children’s behavioral problem scores. The indirect effect of parental stress on this relationship was also statistically significant (p=0.049, p=0.045, respectively). Conclusion This study suggests that children’s smartphone screen time has affected problematic behaviors during the COVID-19 pandemic. Furthermore, parental stress is related to the relationship between children’s screen time and problematic behaviors.