Future Analysis. The findings of this thesis represent an observed association between ENDS use and low academic achievement in the high school population in 2017, however that year represents a reduction in current ENDS use compared to previous and subsequent years. According to YRBS data, 24.1% of students were current ENDS users in 2015, while only 13.2% of students reported current ENDS use in 2017 [35, 37]. Past ENDS use however, did not adhere to this trend, and remained relatively stable during this time (around 44%) [35, 37]. The National Youth Tobacco Study (NYTS) also observed this trend in current ENDS use reduction in 2017. As the NYTS is conducted on an annual basis however, data from subsequent years shows that this reduction in current ENDS use quickly reversed from 2017-2019. By 2019, current ENDS use had increased to nearly 30% [16]. Therefore, future studies are needed to examine the association between ENDS use and low academic achievement, especially among current male users, who showed a marginal association in the current analysis, when there is a larger sample size. In order to address potential information bias, future studies should examine biomarkers (such as cotinine, a metabolite of nicotine) in order to validate self-report measures of ENDS use, in order to address under or overreporting of the behavior [29]. Further, the creators of the YRBS questionnaire should also consider the rise in adolescent THC vaping, when designing subsequent years survey questions [90]. While the questions pertaining to ENDS use in the 2017 survey are in the section of the survey addressing tobacco use, the questions do not differentiate between vaping nicotine and THC products [37]. Additionally, studies should be considered to validate student self-reported academic achievement measures with official academic records, in order to address a potential underreporting of low academic achievement. As the results of this study are only representative of high school students in the US, future studies should examine ENDS use and its association using a sample of adolescents of the same age. While the YRBS is a nationally representative sample of 9th- 12th grade high school students in the US, it does not represent all adolescent of the same age group, as students who have dropped out of school are excluded from participating [35]. In 2018, 2.2% of 16-year-olds, 3.2% of 17-year-olds, and 4.5% of 18-year-olds were not enrolled in high schools. Disparities also existed in dr...
Future Analysis. More than verifying and discussing the hypothesis below, the questionnaire data analysis should allow to state about some user preferences about possible constraints, convenience, notification frequencies, privacy doubts and devices’ designs. Thanks to questions about the different applications, we extract from the results the relevant features to consult data coming from the HR sensors: - The time the user accept to take - The way to present information - The number of times per day the user would like to consult data - If the user wants to receive notification - When he would like to receive it in the day - Which data the user want to share - If the user is afraid about the respect of his privacy.
Future Analysis. The questionnaire data analysis should allow to give information about some user preferences: constraints, notification frequencies, privacy doubts and devices’ designs. Thanks to questions about sensors, we will extract from the results the relevant features (c.f.
Future Analysis. The questionnaire data analysis should allow to give information about some user preferences: notification, privacy doubts and devices’ designs of a body weight scale. Thanks to questions, we will extract from the results the relevant features (c.f. hypothesis): the way to present the weight, if the user wants to receive notification, when he would like to receive it, etc.
