Relationship between Physical Activity and Subjective Quality of Sleep in Korean High School Students, The 11th Korea Youth Risk Behavior Web-Based Survey

2017 ◽  
Vol 7 (4) ◽  
pp. 557-562 ◽  
Author(s):  
Sang Ah Sok ◽  
Seon Mee Kim ◽  
Jin Hyung Jung ◽  
So Yang An ◽  
Han Eol Kang
Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 169
Author(s):  
Seung-Hoo Lee ◽  
Jong-Ho Lee

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.


2020 ◽  
Vol 69 (1) ◽  
pp. 64-76
Author(s):  
Caitlin L. Merlo ◽  
Sherry Everett Jones ◽  
Shannon L. Michael ◽  
Tiffany J. Chen ◽  
Sarah A. Sliwa ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Eun-Sil Choi ◽  
Hyun-Sun Jeon ◽  
So-Jung Mun

Abstract Background This cross-sectional study aimed to examine the relationship between sleep habits and oral disease symptoms in adolescents. Methods Among 62,276 adolescents who participated in the 13th Korea Youth Risk Behavior Web-based Survey (2017), we selected a total of 54,766 adolescents (age, 12–18 years; male, 49.9%) for the final analysis, after excluding those who did not report their sleep duration. The 13th Korea Youth Risk Behavior Web-based Survey data were obtained from a stratified, multistage, clustered sample. Independent variables included general characteristics, oral health behavior, sleep types, sleep duration, and sleep quality; dependent variables comprised oral disease symptoms. Sleep was categorized according to bedtime astype A (bedtime < 1 a.m.) and type B (bedtime ≥ 1 a.m.). Data were analyzed using logistic regression analysis. Statistical significance was set at p < 0.05. Results After adjusting for all covariates, adolescents with type A sleep had a higher risk of toothache on chewing (OR = 1.08, 95% CI 1.02–1.15) than adolescents with type B. Adolescents who slept for 6 h or less each night had a higher risk of pain in the tongue and buccal mucosa (OR = 1.35, 95% CI 1.18–1.54), gingival pain, and bleeding (OR = 1.31, 95% CI 1.19–1.45) than those who slept for more than 8 h. Adolescents with low quality of sleep had a higher risk of toothache or throbbing (OR = 1.70, 95% CI 1.60–1.81), toothache on chewing (OR = 1.73, 95% CI 1.65–1.82), and halitosis (OR = 1.51, 95% CI 1.41–1.59) than those with high quality of sleep. Conclusions Our findings indicate that some oral symptoms are related to sleep duration and quality. It is essential to inculcate good sleeping habits in adolescents by emphasizing the effects of inadequate sleep duration and quality.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Amanda Luken ◽  
Johannes Thrul ◽  
Renee M. Johnson

Abstract Objective To determine the relationship between lifetime e-cigarette use and current cannabis use among youth. Our analyses accounted for county variability, in addition to student-level covariates. Methods This study examined responses from high school students on a state-level population survey, the 2018 Maryland Youth Risk Behavior Survey/Youth Tobacco Survey, a cross-sectional, complex survey sample. Of participating students, final analyses included an unweighted sample of 41,091 9th to 12th grade students who provided complete reports for measured variables. Analyses with survey weights were conducted between August 2019 and May 2020. A multivariable logistic regression was conducted to investigate the association between lifetime e-cigarette use and current (past 30-day) cannabis use, after controlling for county, lifetime cigarette use, current (past 30-day) alcohol use, emotional distress, and demographics. Results Lifetime e-cigarette use significantly increased the odds of current cannabis use among Maryland high school students (aOR = 6.04; 95% CI 5.27, 6.93). Other significant risk factors for current cannabis use included lifetime cigarette use (aOR 2.23, 95% CI 1.86, 2.68) and current alcohol use (aOR 5.21, 95% CI 4.42, 6.14). Significantly higher odds of current cannabis use were also found among older high school students, males, non-Hispanic Blacks and students identifying as other race, and those reporting emotional distress. Conclusions Lifetime e-cigarette use among Maryland high school students is strongly associated with current cannabis use when including counties as a covariate. Non-significant county differences, however, suggest smaller geographical units may be required to control for variability. Efforts should focus on reducing youth e-cigarette use to decrease cannabis use. Maryland’s recent implementation of Tobacco 21 and a ban on flavored e-cigarettes will be of interest for future evaluations.


The purpose is to allow us to observe and evaluate the sleep quality and presence of sleep deprivation in high school students from the 16th and 22nd establishment under the University of Guadalajara with the objective of allowing us to observe if there is a relationship between their schoolwork activies, daily basis day to day, bodyweight and mood with the presence of sleeping during daytime using the pediatric daytime sleepiness scale. Methods: This is an observational, retropesctive, logitudinal and descriptive study with PubMed and NCBI Articles as variables. Findings: We will evaluate with sleepiness daytime scale the quality of sleep in 100 students. Conclusion: During this research 100 students comprised of 61 female and 39 male students all in freashmen or first year of high school were evaluated. All of them between ages 14 to 17 years of old.


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