Influences of physical activity environments on obesity among adolescents

Yoon, Nan-He

doi:10.14367/kjhep.2018.35.2.25

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…In this study, the rate of obesity among those engaged in physical activity was higher than that among those involved in non-physical activity. This result is similar to that of Im et al ( 2017 ) but contrasts with the result that obesity decreases as physical activity increases (Yoon, 2018 ). In particular, adolescents may lead a sedentary lifestyle by playing games or watching videos, and physical activity and lack of exercise can cause obesity (Im et al, 2017 ).…”

Section: Discussionsupporting

confidence: 88%

Health behaviors and mental health among adolescents: A comparison based on BMI using the 2021 Korea Youth Risk Behavior Survey

Park,

Kim

2023

Belitung Nurs J

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Background: Obesity and underweight can have adverse effects on adolescents. However, previous obesity management program conducted in Korea for adolescents with obesity showed low effectiveness, and there are few studies on underweight Korean adolescents. Objective: This study aims to analyze differences in the health behaviors and mental health of adolescents based on their body mass index (BMI). Methods: Data from the 2021 Korea Youth Risk Behavior Survey were examined. The health behaviors and mental health of 53,445 adolescents were analyzed according to BMI using SAS version 9.4 with the Rao-Scott χ2 test and logistic regression analysis. Results: Regarding the difference in health behaviors according to BMI, a higher proportion of participants who are drinking alcohol and are exposed to secondhand smoke were in the underweight group than in the obesity group. The rate of obesity among those engaged in physical activity was higher than that among those involved in non-physical activity. In addition, the obesity group used smartphones more than the underweight group, while the quality of sleep was better among the underweight group than the obesity group. Conclusion: While the health behaviors and mental health of adolescents according to BMI are similar to those of previous studies, there are also distinct aspects. Consequently, further exploration of health behaviors and mental health based on BMI is crucial for developing and implementing targeted nursing intervention programs for adolescents with different weights.

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Section: Discussionsupporting

confidence: 88%

Health behaviors and mental health among adolescents: A comparison based on BMI using the 2021 Korea Youth Risk Behavior Survey

Park,

Kim

2023

Belitung Nurs J

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“…Finally, the results of the comparison based on the degree of stress showed that the higher the rate of obesity in the group, regardless of gender, was higher. If you look at the previous study on physical activity and obesity, a study by Yoon [42] found that teenagers who are actually doing physical activities through physical education classes at school more than three times a week were less obese than those who were not. Therefore, the results were similar to this study.…”

Section: Discussionmentioning

confidence: 99%

“…This means that the compilation and reinforcement of physical education within the regular curriculum will not be effective. Indeed, it emphasizes that the content of education should be structured in a way that improves both the amount and intensity of physical activity so that meaningful effects can be expected [42]. In this study, the number of physical activities, number of muscle movements, number of physical training hours, and degree of stress awareness were used for the analysis as factors indicating the degree of physical activity in the KYRBS.…”

Section: Physical Activitymentioning

confidence: 99%

Analysis on the Relationship between Eating Behavior, Physical Activities and Youth Obesity: Based on the Korea Youth Risk Behavior Survey for High School Students in 2016~2018

Lee

2020

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In this study, a total of 94,511 surveys were used for the analysis, using raw data from the recent 3 years (2016–2018) of the Korea Youth Risk Behavior Survey (KYRBS) to compare differences in obesity rates based on eating behavior and physical activity among high school students. The cross-analysis and logistic regression were performed in the composite sample design using the SPSS 25.0 statistical package. The results are as follows. First, the more physical activity male students have, the lower the obesity rate. Female students, however, showed a minor difference. Second, the group that drinks the soda was 1158 times more likely to be obese than the group that does not drink the soda, and third, the group that eats the fast food was 1129 times more likely to be obese than the group that does not. Fourth, students belonging to male or female schools had a 1230 times higher obesity rate than coeducational students. Fifth, the obesity rate was 1150 times higher for second grade and 1263 times higher for third grade compared to the first grade. Finally, there was no significant difference related to the nutrition education. It is suggested that, to fight youth obesity in high school students, institutions need to raise public awareness of this problem through information campaigns aimed at improving and fostering potentially existing educational measures.

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Multilevel factors associated with adolescents’ obesity: Analysis of 2017-2019 Korea Youth Risk Behavior Survey data

Kim¹,

Choi²,

Kim³

2021

kjhep

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Influences of physical activity environments on obesity among adolescents

Cited by 4 publications

References 32 publications

Health behaviors and mental health among adolescents: A comparison based on BMI using the 2021 Korea Youth Risk Behavior Survey

Health behaviors and mental health among adolescents: A comparison based on BMI using the 2021 Korea Youth Risk Behavior Survey

Analysis on the Relationship between Eating Behavior, Physical Activities and Youth Obesity: Based on the Korea Youth Risk Behavior Survey for High School Students in 2016~2018

Multilevel factors associated with adolescents’ obesity: Analysis of 2017-2019 Korea Youth Risk Behavior Survey data

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