Energy drinks and energy shot use associated with non- medical prescription opioid use among adolescents

2017 ◽  
Vol 32 (4) ◽  
Author(s):  
Jeff M. Housman ◽  
Ronald D. Williams ◽  
Conrad L. Woolsey
Keyword(s):  
High School ◽  
Logistic Regression ◽  
High School Students ◽  
Energy Drinks ◽  
Prescription Opioid ◽  
Opioid Use ◽  
Medical Prescription ◽  
School Students ◽  
Prescription Opioid Use ◽  
The Relationship

We investigated the relationship between energy drinks (ED), energy shot (ES) and non-medicalopioid use among high school students. Logistic regression indicated ED use was a significant predictor ofnon-medical Vicodin (OR = 1.314, P < 0.05) use but not non-medical Oxycontin use (OR = 1.050 P= 0.073) and ES use was a statistically significant predictor of non-medical use of Vicodin (OR = 1.545,P < 0.01) and Oxycontin use (OR = 1.590 P < 0.001). Mann-Whitney U tests indicated significantlygreater non-medical opioid use among students who used ED and ES than those who did not.

scholarly journals Heroin and nonmedical prescription opioid use among high school students in urban school districts

2019 ◽  
Vol 205 ◽  
pp. 107664 ◽  
Author(s):  
Abenaa A. Jones ◽  
Kristin E. Schneider ◽  
Sherri-Chanelle Brighthaupt ◽  
Julie K. Johnson ◽  
Sabriya L. Linton ◽  
...  
Keyword(s):  
High School ◽  
High School Students ◽  
School Districts ◽  
Urban School ◽  
Urban School Districts ◽  
Prescription Opioid ◽  
Opioid Use ◽  
School Students ◽  
Prescription Opioid Use

The relationship between social phobia and internet addiction in adolescents (Preprint)

2021 ◽  
Author(s):  
Ramazan Saglan ◽  
Tulin Fidan ◽  
Muhammed Fatih Onsuz ◽  
Selma Metintas
Keyword(s):  
High School ◽  
Logistic Regression ◽  
Regression Analysis ◽  
High School Students ◽  
Social Phobia ◽  
Logistic Regression Analysis ◽  
Internet Addiction ◽  
The Internet ◽  
School Students ◽  
The Relationship

BACKGROUND Adolescence is a risky stage for internet addiction and social phobia. Internet addiction is a major public health problem, especially among adolescents. OBJECTIVE The study was conducted to determine the frequency of internet addiction and social phobia, to evaluate the relationship between them among high school students in Eskişehir. METHODS The study is a cross-sectional study conducted on high school students studying in Eskişehir during the 2017-2018 academic year. In the study, two stage cluster sampling method was used according to settlement units and school types. The study group consisted of 3353 students who are found in selected schools for sampling and agreed to participate in the study. Multivariate logistic regression analysis was performed to determine the independent variables associated with social phobia and internet addiction. RESULTS In the study, the prevalence rates of internet addiction, social phobia, internet addiction and social phobia among the students was 13.8%, 8.7% and 2.7% respectively. Logistic regression analysis shows that internet addiction can be predicted by family type, tool for connecting to internet, age of first internet use, time to access the internet after waking up in the morning, total duration of internet use, self-limitation on the use of the internet and social phobia. CONCLUSIONS Internet addiction and social phobia are important health problems which are found to be related to each other in adolescents. Prevention and intervention studies should be planned about social phobia and internet addiction. CLINICALTRIAL 80558721/G-312

scholarly journals Relationship between internet addiction and sleep disturbance in high school students: a cross-sectional study

2019 ◽  
Author(s):  
Mikiko Tokiya ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yoshitaka Kaneita
Keyword(s):  
High School ◽  
Logistic Regression ◽  
Regression Analysis ◽  
High School Students ◽  
Sleep Disturbance ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
School Students ◽  
Male And Female ◽  
The Relationship

Abstract Background: As the number of Internet users around the world increases, so does the dependency on the Internet. In adolescents this dependence interferes with sleep, which is important for the development of their psychophysiological capabilities. However, few large-scale surveys have examined the relationship between internet addiction (IA) and sleep disturbance in detail using standardized questionnaires. This study aimed to determine the relationship between sleep disturbance in adolescents and IA according to the categories of the Young Diagnostic Questionnaire (YDQ) through a complete survey of one prefecture in Japan. Methods: In 2016, a self-administered questionnaire was used to survey high school students (n=10,405) in all 54 daytime high schools in one prefecture. In this study, “sleep disturbance” was defined as achieving over 5.5 points on the Japanese version of the Pittsburgh Sleep Quality Index. IA was evaluated using the YDQ: “IA,” when 5 of the 8 YDQ items were applied; “at-risk,” when either 3 or 4 YDQ items were applied; and “non-IA,” when less than 2 YDQ items were applied. Multiple logistic regression analysis was performed, with sleep disturbance as the dependent variable, IA as the explanatory variable, and adjustments made for 8 items, including the frequency of skipped meals. Results: High YDQ scores were associated with high prevalence rates of sleep disturbance in both male and female participants; the higher the score, higher was the rate. On multiple logistic regression analysis for both male and female participants, higher YDQ scores showed higher adjusted odds ratios for sleep disturbances. Conclusions: For high school students within one prefecture in Japan, higher YDQ scores, which indicate internet dependency, were significantly related to sleep disturbance, suggesting that the likelihood of sleep disturbance increases with YDQ scores.

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