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Na-Hye Kim; Jae-Moo Lee; Seo-Hyung Yang (et al.)
This study aimed to examine the relationship between smartphone dependency (SD) and mental health (MH) in adolescents in order to develop and implement plans pertaining to SD control. Raw data from the 16th Online Adolescent Health Behavior Survey in 2020 were analyzed. A total of 482 respondents were selected as study subjects based on their experience of smartphone overdependence (SO), specifically, 241 participants whose score for SO was 37 or higher (Group 2) and age- and gender-matched 241 participants whose score was lower than 10 (Group 1).
Min-Su Kim; Mi Ah Han; So Yeon Ryu (et al.)
Hyowon Choi; Eun Jung Lee; Yeon-Soon Ahn (et al.)
Research of coronavirus disease (COVID-19) effects on newborns is ongoing. But the research of specific variant’s effects is none. This study analyzed the effects of the Omicron variant on the perinatal outcomes of full-term newborns during the Omicron wave period. Between December 2021 and April 2022, this study was conducted on all newborns who visited a single center. We investigated due to the Omicron maternal infection maternal pregnancy complications, delivery methods, birth week, Apgar scores, neonatal resuscitation program requirement, whether respiratory support was required until 12 h after childbirth, suspicious infectious status, and mortality depending on maternal Omicron infection.
This study aimed to collect information on national or government-led distance learning programmes that were established in response to the educational disruption caused by COVID-19. The key objective is to enable reflection on these policy responses and their effectiveness in minimizing the disruption and learning loss, and maintaining continuity, quality, inclusiveness and equity. This case study is on the Republic of Korea. It is based on information and relevant documents supplied by the Korean Government for scrutiny, and reflects a centralized model where the execution of policy is devolved to 17 metropolitan and provincial offices of education.Korea was well-prepared for pandemic-related school closures in terms of infrastructure with almost 100 per cent of its population having access to high-speed broadband and an excellent mobile network. Ownership of digital devices stands at 118 per cent, and all teachers have access to devices both at home and in school (Kemp, 2021). Collaboration among teachers was widely encouraged for the production of resources. Several important lessons were learnt, which have resulted in further plans to strengthen online learning.
Jung-Hoon Lee; Seri Maeng; Jeong-Seop Lee (et al.)
This study identified factors related to adolescent obesity during the COVID-19 pandemic by using machine learning techniques and developed a model for predicting high-risk obesity groups among South Korean adolescents based on the result. This study analyzed 50,858 subjects (male: 26,535 subjects, and female: 24,323 subjects) between 12 and 18 years old. Outcome variables were classified into two classes (normal or obesity) based on body mass index (BMI). The explanatory variables included demographic factors, mental health factors, life habit factors, exercise factors, and academic factors. This study developed a model for predicting adolescent obesity by using multiple logistic regressions that corrected all confounding factors to understand the relationship between predictors for South Korean adolescent obesity by inputting the seven variables with the highest Shapley values found in categorical boosting (CatBoost).
Eun-Yeob Kim; Chilhwan Oh; Hwa-Jung Sung (et al.)
Sanggu Kang; Yeri Jeong; Eun Hye Park (et al.)
Hong Kyu Park; Jung Sub Lim
Hyun Sik Kim
Do Hee Kim; Bomgyeol Kim; Suk-Yong Jang (et al.)
Sou Hyun Jang; Hyesun Hwang
Coronavirus disease 2019 (COVID-19)-necessitated lockdowns and school closures have limited social interactions among adolescents, which result in unhealthy behaviors. This study compared the multilevel factors associated with obesity among adolescents in South Korea before and during the pandemic. It applied the social-ecological model and analyzed the 2019 and 2020 Korea Youth Risk Behavior Web-based Survey (KYRBS), including middle and high school students. It considered factors at the individual, family, and community levels in the logistic regression. Age and gender-adjusted obesity (body mass index ≥ the 95th percentile) was the dependent variable.
Honey Kim; Min Jhon; Ju-Wan Kim (et al.)
This study developed a model to predict groups vulnerable to suicidal ideation after the declaration of the COVID-19 pandemic based on nomogram techniques targeting 54,948 adolescents who participated in a national survey in South Korea. This study developed a model to predict suicidal ideation by using logistic regression analysis. The model aimed to understand the relationship between predictors associated with the suicidal ideation of South Korean adolescents by using the top seven variables with the highest feature importance confirmed in XGBoost (extreme gradient boosting). The regression model was developed using a nomogram so that medical workers could easily interpret the probability of suicidal ideation and identify groups vulnerable to suicidal ideation.
Jaewon Lee; Jennifer Allen; Hyejung Lim (et al.)
Given that the period from middle to high school is important to develop and cultivate self-efficacy, reduced support in low-income families might negatively influence the development of self-efficacy among low-income students since COVID-19. This study aims to investigate the association between family satisfaction and self-efficacy among low-income students since COVID-19 and the moderating effect of parents' educational attainment on the relationship. 255 low-income students in South-Korea were selected for the final sample. The PROCESS macro 3.4 for Statistical Product and Service Solutions was used to analyze the data.
UNICEF Innocenti's Children and COVID-19 Library is a database collecting research from around the world on COVID-19 and its impacts on children and adolescents.
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