OBJECTIVES: We aimed to study the effects of the coronavirus disease 2019 (COVID-19) pandemic on adolescents’ mental health in Korea. METHODS: We used data from the Korea Youth Risk Behavior Survey 2018-2021 with 227,139 students aged 12-18 years. We estimated the differences in depressive symptoms, suicidal ideation, and stress perception before (2018-2019) and during (2020-2021) the pandemic, as well as before (2019), the first year (2020) of, and the second year (2021) of the pandemic. We also examined whether COVID-19 is statistically associated with mental health. RESULTS: In both male and female adolescents, the prevalence of depressive symptoms, suicidal ideation, and stress perception was higher in the “not living with family,” “low household economic status,” and “self-rated unhealthy status” subgroups. The prevalence of depressive symptoms and stress perception was higher in middle school students. Adolescents were less likely to experience depressive symptoms (adjusted odds ratio [aOR], 0.86; 95% confidence interval [CI], 0.83 to 0.89), suicidal ideation (aOR, 0.80; 95% CI, 0.76 to 0.83), and stress perception (aOR, 0.76; 95% CI, 0.74 to 0.79) in 2020 than in 2019. However, there were more depressive symptoms (aOR, 1.06; 95% CI, 1.02 to 1.09), suicidal ideation (aOR, 1.15; 95% CI, 1.10 to 1.21), and stress perception (aOR, 1.19; 95% CI, 1.16 to 1.23) in 2021 than in 2020. CONCLUSIONS The COVID-19 pandemic had positive impacts on mental health of adolescents in its early stages but has had negative impacts as the pandemic continues. Attention should be paid to adolescents who are particularly vulnerable to the mental health effects of the pandemic.

OBJECTIVES: This study aimed to describe trends in health behaviours between 2011 and 2020 and compare the changes in these behaviours between the 2020 COVID-19 pandemic and previous periods according to socio-demographic variables. METHODS: This study used data from the 2011 to 2020 Korea National Health and Nutrition Examination Survey. Current cigarette smoking, high-risk drinking, and inadequate physical activity levels were used as health behaviour indicators. The age-standardized prevalence, differences in prevalence between the periods, and the annual percentage change (APC) were calculated. RESULTS: Current cigarette smoking showed a decreasing trend (APC, -2.6), high-risk drinking remained unchanged, and inadequate physical activity levels increased (APC, 3.5) during 2011-2020. There were significant differences in high-risk drinking (3.1%p; 95% confidence interval [CI], 0.3 to 5.9) and inadequate physical activity levels (4.3%p; 95% CI, 0.4 to 8.1) between 2019 and 2020 in men. Among men, increased high-risk drinking was found in those aged 40-49 years, non-single households, urban residents, and the middle and highest income groups between 2019 and 2020. The low educational group and manual workers among men aged 30-59 years also showed an increased proportion of high-risk drinking. Inadequate physical activity levels also increased among men between 2019 and 2020 in those aged 30-39 years, non-single households, urban residents, and the upper-middle-income group. CONCLUSIONS In the first year of the COVID-19 pandemic, Korean men’s high-risk drinking and inadequate physical activity levels increased. In addition to social efforts to reduce the spread of infectious diseases, active measures to positively change health behaviour are needed.

OBJECTIVES: We examined the prevalence of tobacco use and exposure to secondhand smoke among middle-school students in Korea using the Global Youth Tobacco Survey (GYTS) in 2013. METHODS: The GYTS in Korea was conducted between July and August 2013 by the Korea Centers for Disease Control and Prevention. Data were collected using a self-administered anonymous questionnaire from a nationally representative sample of middle-school students aged 13-15 years in sampled classrooms. RESULTS: The GYTS in Korea was completed by 4235 students aged 13-15 years in 43 middle schools. Approximately one in five of the students (17.8%) reported that they had tried cigarettes in the past, while 5.2% reported currently being cigarette smokers. Current cigarette smoking was higher in boys (7.5%) than in girls (2.6%). Of the students, 29.7% had been exposed to secondhand smoke at home, 47.4% inside enclosed public places, and 53.9% in outdoor public places. Of the current cigarette smokers, 25.7% bought their cigarettes from a store despite a law prohibiting this. Additionally, 58.0% of students noticed point-of-sale tobacco advertisements or promotions, 66.8% of current cigarette smokers wanted to stop smoking, and 70.9% of students had been taught about the dangers of tobacco use in school. CONCLUSIONS: These findings provide an opportunity to develop, implement, and evaluate a comprehensive tobacco control policy. The results suggest that youth have relatively easy access to cigarettes and are regularly exposed to secondhand smoke in public places, as well as to point-of-sale tobacco advertisements and promotions. Strict enforcement of the ban on tobacco sales to youth, expanding smoke-free areas, and advertising bans are needed to reduce tobacco use among youth.
Adolescent* ; Anonyms and Pseudonyms ; Centers for Disease Control and Prevention (U.S.) ; Commerce ; Female ; Humans ; Jurisprudence ; Korea* ; Prevalence ; Republic of Korea ; Smoke ; Smoking ; Tobacco Products ; Tobacco Smoke Pollution ; Tobacco Use* ; Tobacco*

OBJECTIVES: This report is to examine changes in the smoking rates among adults and adolescents and provide basic data for national health policies. METHODS: Centers for Disease Control and prevention analyzed Korea National Health and Nutrition Examination Survey (KNHANES) from 1998 to 2013 and Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2013 data to describe cigarette smoking status among adults and adolescents. RESULTS: In 2013, current cigarette smoking among adult male and female were 42.1 and 6.2%, decreases of 1.6% compared to 2012. Among adolescents, current cigarette smoking were 14.4 and 4.6% for male and female students, decreases of 1.9 and 1.3%p compared to 2012. High current cigarette smoking among adults were associated with lower income and education levels; among adolescents, high current cigarette smoking were associated with a lower perceived family economic status and lower perceived academic records. CONCLUSION: Current cigarette smoking among adult male have decreased since 2011, whereas among adult female did not a statistically significant annual changes; however, income level differences were distinct. Among adolescents, both male and female students showed decreasing trends, although current cigarette smoking increased in upper grades and the differences between general and vocational high schools remained high. The cigarette smoking statuses of adults and adolescents did not approach the Health Plan 2020 (HP2020) target.
Adolescent* ; Adult* ; Centers for Disease Control and Prevention (U.S.) ; Education ; Female ; Health Policy ; Humans ; Korea ; Male ; Nutrition Surveys ; Risk-Taking ; Smoke ; Smoking*

OBJECTIVES: This study aimed to investigate changes in health behaviors, including cigarette smoking, alcohol drinking, physical activity, dietary behaviors, and obesity, before and during the coronavirus disease 2019 (COVID-19) pandemic using the Korea Youth Risk Behavior Survey (KYRBS) database. METHODS: KYRBS data from 2015 to 2021 were used in this study. Differences in health behaviors between before (pre-pandemic period: 2018-2019) and during (pandemic period: 2020-2021) the pandemic were examined. Differences were compared using linear regression and the chi-square test considering the complex survey design after adjusting for grade level. RESULTS: The prevalence of current cigarette smoking and current alcohol drinking significantly decreased in both male and female students during the pandemic compared to the pre-pandemic period. However, the prevalence of obesity significantly increased in both male and female students during the same period. When examining physical activity and dietary behaviors closely related to obesity, fast food consumption increased and fruit consumption decreased during the pandemic in both male and female students, whereas no significant changes in physical activity were observed in either male or female students. CONCLUSIONS The deterioration of adolescent dietary behaviors and an increase in the prevalence of obesity can increase the future disease burden, and concerted efforts at the individual and national levels are needed to reduce obesity and promote healthy dietary behaviors.

OBJECTIVES: This study aimed to examine the trends in health behaviors in Korean population using data from the Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: The subjects were 96,408 adults aged 19 years or older who participated in the first (1998) through seventh (2016-2018) KNHANES health interview. The prevalence of health behaviors (cigarette smoking, alcohol drinking, and physical activity) and annual percent change (APC) were estimated using SAS and the Joinpoint program. RESULTS: The prevalence of current cigarette smoking in men decreased by 2.8%p (APC= -2.8, p< 0.001) annually over the 20-year period, and the prevalence of exposure to secondhand smoke at home substantially decreased compared to 2005 (APC= -8.8, p< 0.001). Compared to 2005, the prevalence of current alcohol drinking in women, but not men, increased (APC= 2.0, p< 0.001), and the prevalence of binge drinking decreased in men (APC= -0.7, p< 0.001) and increased in women (APC= 2.4, p< 0.001). The prevalence of aerobic physical activity decreased from 2014 in both gendersd (p< 0.001). The prevalence of healthy behaviors practice (non-smoking, alcohol abstinence, and aerobic physical activity) was down-trending (APC= -5.3, p< 0.001), especially among women (APC= -6.4, p< 0.001). CONCLUSIONS Over the past 20 years, smoking behaviors improved. However, drinking behavior was unchanged and physical activity indicators markedly decreased. More active programs are necessary for improving health behaviors, which are major risk factors linked to chronic diseases.

OBJECTIVES: This study aimed to examine the trends in health behaviors in Korean population using data from the Korea National Health and Nutrition Examination Survey (KNHANES). METHODS: The subjects were 96,408 adults aged 19 years or older who participated in the first (1998) through seventh (2016-2018) KNHANES health interview. The prevalence of health behaviors (cigarette smoking, alcohol drinking, and physical activity) and annual percent change (APC) were estimated using SAS and the Joinpoint program. RESULTS: The prevalence of current cigarette smoking in men decreased by 2.8%p (APC= -2.8, p< 0.001) annually over the 20-year period, and the prevalence of exposure to secondhand smoke at home substantially decreased compared to 2005 (APC= -8.8, p< 0.001). Compared to 2005, the prevalence of current alcohol drinking in women, but not men, increased (APC= 2.0, p< 0.001), and the prevalence of binge drinking decreased in men (APC= -0.7, p< 0.001) and increased in women (APC= 2.4, p< 0.001). The prevalence of aerobic physical activity decreased from 2014 in both gendersd (p< 0.001). The prevalence of healthy behaviors practice (non-smoking, alcohol abstinence, and aerobic physical activity) was down-trending (APC= -5.3, p< 0.001), especially among women (APC= -6.4, p< 0.001). CONCLUSIONS Over the past 20 years, smoking behaviors improved. However, drinking behavior was unchanged and physical activity indicators markedly decreased. More active programs are necessary for improving health behaviors, which are major risk factors linked to chronic diseases.

OBJECTIVES: This study aimed to determine an effective survey method for the accurate calculation of obesity prevalence by comparing the self-reported and measured height, weight, and body mass index (BMI) using the 2018 Korea Community Healthy Survey (CHS) data. METHODS: Raw data from the 2018 CHS were used to analyze the differences, correlation, and agreement between self-reported and measured height, weight, and BMI. RESULTS: The self-reported height was over-reported than the measured height (0.59 cm greater for men and 0.71 cm greater for women), while the self-reported weight was under-reported than the measured weight (0.55 kg less for men and 0.67 kg less for women). Subsequently, the self-reported BMI was under-estimated (0.35 kg/m2 lower for men and 0.49 kg/m2 lower for women) compared with the measured BMI. The kappa statistic and agreement between measured and self-reported values per BMI category (underweight, normal, overweight, and obesity) were 0.82 and 79.6%, respectively. CONCLUSIONS The prevalence of obesity should be calculated using the measured values provided in the CHS in order to promote local health projects based on accurate evidence.