| Sunhee Park | 3 Articles |
Purpose
Based on the health belief model and theory of planned behavior, this study investigated how age group (adolescence and emerging adulthood) moderated the relative effects of perceived susceptibility, perceived severity, and subjective norms on preventive behavior against coronavirus disease 2019 (COVID-19). Methods This secondary data analysis utilized data from adolescents (n=272) and emerging adults (n=239). Hierarchical multiple regression analysis was performed to test the moderating effect of age group on the relationships among variables. Results Higher perceived susceptibility (β=.21, p<.001), perceived severity (β=.14, p=.002), subjective norms (friends) (β=.26, p<.001), subjective norms (parents) (β=.44, p<.001), and subjective norms (schools) (β=.28, p<.001) enhanced COVID-19 preventive behaviors. Moderated regression analysis showed that subjective norms (friends and school) impacted preventive behavior in adolescents more than in emerging adults. Conclusion Given the need to increase perceived susceptibility and severity among adolescents and emerging adults, these findings provide baseline data for designing effective COVID-19 prevention interventions that consider the developmental characteristics of different age groups. Interventions by health centers at universities can strengthen COVID-19 preventive behavior among emerging adults. As adolescents are influenced by friends, their peer roles must be strengthened to enhance adherence to COVID-19 preventive guidelines. Citations Citations to this article as recorded by
PURPOSE
Because it is important to prevent adolescents from becoming involved in smoking, this study was done to explore important factors influencing cigarette use and the increase in smoking frequency. METHOD For this study the Korea Youth Panel Survey (KYPS) was analyzed. Because the KYPS is longitudinal, a fixed effect regression method was used to control for the effects of time-independent factors. More specifically, a logistic regression was used to explore factors affecting cigarette use, and a Poisson regression was used to explore smoking frequency. RESULT As the adolescents got older, the number of male adolescents who tried smoking increased, while the number of female adolescents who tried smoking decreased. Also, the frequency of cigarette use among male and female smokers increased over time. Significant factors affecting cigarette use were friends who smoked, delinquent behavior, and loneliness at schools. Important factors affecting the increase in smoking frequency were grade (e.g., the 2nd- and 3rd-year of middle school), friends who smoked, delinquent behavior, monthly pocket money, expectation for the highest level of education, and attack tendency. CONCLUSIONS To solve the problems linked to adolescent smoking, it is critical to develop intervention programs that target specific homogeneous subgroups of smokers, and that take into consideration gender difference in smoking and factors affecting levels of smoking behavior.
BACKGROUND
Adolescent risk behaviors are of concern because they are dangerous in themselves and have negative influences on adult health. Objectives: This study explored six health risk behaviors of a sample representing the adolescent population in Jeju. METHODS Frequency and percentage of risk behaviors were calculated. Additionally, the chi-square test was used to explore whether differences in experimentation with risk behaviors exist relative to gender and schooling levels. RESULTS There were six major findings in this study: (a) a lower rate of lifetime and current cigarette use among female students compared to male students, (b) a substantial portion of heavy drinkers, (c) a higher rate of lifetime drug use among female students than among male students, (d) a higher prevalence of suicide ideation among female students than among male students, (e) substantial percentages of students who did not usually wear seatbelts, motorcycle helmets, or bicycle helmets, and (f) a substantial portion of students who were not involved in vigorous physical activities. CONCLUSIONS Since a substantial portion of adolescents have been involved with diverse risk behaviors, it is urgent to implement effective intervention strategies to reduce the rates of these behaviors.
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, Sumi Oh
