Author’s information (optional)
Url Link
The hyperlink to my paper’s website.
Methods
Participants were undergraduates aged 18–25 at the University of Surrey who completed the survey during a lecture (opportunity sampling). The study was approved by the University of Surrey Ethics Committee. N = 316 individuals completed the survey (61 males, 245 females, and 10 preferred not to say). The mean age was 20.0 (SD = 1.5 years)… These indicated that assumptions of normality and homogeneity of variance were valid for these data, so a one-way ANOVA was used to test for differences between groups on the measures collected (IV: Vape use, DVs: FFMQ, Rumination, Diurnal preference, Self-compassion, HADS–Anxiety, HADS–Depression, Sleep Quality, Loneliness, and Alcohol use (units/wk).
316 participants, aged 18-25, completed a survey on measurements of vape usage, rumination, sleep quality, anxiety/depression, and self-compassion that was then statistically analyzed.
Introduction
To address the inconsistencies and knowledge gaps outlined above, the current study sets out to better characterize the personality risk factors for vape use amongst young adults. We also explore how vape use associates with mental health symptoms, sleep quality and chronotype, loneliness, and alcohol use.
To better understand the factors that increase the likelihood of youth to partake in vaping nicotine and how vape use may impact mental health, sleep quality and patterns, personality traits, and alcohol use.
Results
The vape-user group was found to have significantly lower levels of trait mindfulness as measured by the FFMQ, as well as significantly higher levels of rumination. The vape-user group also scored significantly lower on self-compassion. In terms of diurnal preference, the vape-user group scored significantly higher on the rMEQ, indicating a greater tendency towards evening preference… The vape-user group was found to have significantly higher levels of anxiety as measured by the HADS, but no effect was observed for depression… The vape-user group was found to have significantly lower sleep quality as measured by the PSQI… The vape-user group was found to have higher levels of self-reported loneliness (at trend). Further, the vape-user group reported significantly higher levels of alcohol consumption in terms of units consumed per week.
The group composed of students who vaped scored significantly lower on self-compassion and mindfulness, but higher on rumination. Vape users also tended to be more evening-type chronotypes, displaying lower sleep quality and higher anxiety, loneliness, and alcohol-use.
Discussion
Thus, the current study adds important novel insights into the traits associated with vape use, pointing to a significant role for mindfulness, rumination, and self-compassion as trait-level factors that might predispose young adults to use vape products. These findings are in line with the notion that vape use, like cigarette use, might serve as a means to self-regulate negative affect.
The study found that predisposition to partaking in vaping may be significantly influenced by patterns of mindfulness, rumination, and self-compassion. These findings suggest that vape-use may be used a tool to self-regulate negative sensations.
Future Directions
Future research should examine the physiological effects stimulants, such as nicotine, have upon sleep patterns and rumination. I think further research into the effects of socioeconomic status and the availability of nicotine-containing vapes within the youth’s environment (i.e. prevalence of vapes within social groups or ease of purchase) may provide further insight and reduce interaction effects between variables.
Difficult Material
I found the integration of all the scales/indexes to convey statistically significant correlations between each variable as it pertains to vape usage confusing. I understood an ANOVA test was used to examine between the control (non-vaping/smoking group) and the experimental group, but some variables such as sleep quality and its association with diurnal preferences were not fully explained.
BIOL 1593 – Assignment 1 Worksheet
Your Name: Temitope Bello
URL link:
· Paste the hyperlink to the website containing the original posting about the paper, NOT to the scientific paper itself (provide hyperlink to either the public posting webpage, or the Moodle forum webpage): https://www.mdpi.com/2227-9032/12/4/423
Additional Translation:
· From which section of the paper is this passage?
Introduction
· Paste quoted text on the next line. Do not include quotation marks or a bullet mark:
Evidence suggests that many do not know that nicotine is a tobacco derivative; the flavouring commonly found in vapes enhances their appeal, with US and UK adolescents erroneously believing that fruit-flavoured vapes are less harmful. Thus, given their rising popularity amongst young adults in particular, it is important that we gain a more thorough understanding of the inter-individual factors that can increase the likelihood of a young person taking up vape use, as well as a fuller understanding of its consequences for physical and mental health.
· Write your translation on the next line:
Reports shows that a lot of people who vapes are not aware that nicotine which is added to vapes is a byproduct of tobacco. With so many different Flavors some which are fruit-like, it is pleasing to these UK and US adolescents who mistaken this fruity Flavors as being harmless. Hence, with the growing trend amongst youngster, there is a need to know the personal factors that allows youth more prone to vaping and also deeper insights on the repercussion on total wellbeing.
Additional Future Directions:
· What future research do you think should follow up on this work?
More studies on looking into other factors like income level, access to vapes, and whether stress influences the growth trend of vaping.
Difficult Material (from original poster or subsequent student):
· What did the previous poster state was difficult to understand? (Copy and paste their statement here.):
I found the integration of all the scales/indexes to convey statistically significant correlations between each variable as it pertains to vape usage confusing. I understood an ANOVA test was used to examine between the control (non-vaping/smoking group) and the experimental group, but some variables such as sleep quality and its association with diurnal preferences were not fully explained.
· Try to explain the difficult materials to the original poster as best as you can. (This is where you can help them understand what they found difficult.)
Although in the study, they found links between certain personality traits, sleep patterns, and vaping, it was not certain if those traits actually lead to vaping. Similarly, poor mental health and sleep problems could also cause vaping or are a result of vaping itself.
New Difficult Material (according to you):
· What did you not understand about this paper that someone else may be able to help you with? Or, if you understood everything, what did you find most challenging to understand?
I find the close correlations between cigarette smoking and alcohol in young adult populations confusing as there are not enough evidence points that analyse the risk factors for tobacco and alcohol consumption.
BIOL 1593 – Assignment 2 Worksheet
Your Name: Sienna Lalonde
URL link:
Paste the hyperlink to the website containing the original posting about the paper, NOT to the scientific paper itself (provide hyperlink to either the public posting webpage, or the Moodle forum webpage):
https://biol1592.trubox.ca/2024/11/06/evans-alkan-2024/
Additional Translation:
From which section of the paper is this passage?
Discussion
Paste quoted text on the next line. Do not include quotation marks or a bullet mark:
In terms of trait risk factors, the vape use group scored lower on mindfulness, higher on rumination, and lower on self-compassion. These relationships were predicted, as there is some precedent for them in the literature around combustible cigarette use.
Write your translation on the next line:
People who vape tend to be less mindful, ruminate more, and have lower self-compassion. These findings were expected based on similar patterns seen in cigarette smokers.
Additional Future Directions:
What future research do you think should follow up on this work?
Future research on this topic could explore the effectiveness of mindfulness- and self-compassion-based interventions in reducing vape use and improving sleep and mental health outcomes among young adults. Since the study identified low mindfulness and self-compassion as risk factors, a longitudinal intervention study could test whether enhancing these traits through structured programs (e.g., mindfulness training, compassion-focused therapy) leads to reductions in vaping behavior and associated anxiety or sleep issues.
Difficult Material (from original poster or subsequent student):
What did the previous poster state was difficult to understand? (Copy and paste their statement here.):
I found the integration of all the scales/indexes to convey statistically significant correlations between each variable as it pertains to vape usage confusing. I understood an ANOVA test was used to examine between the control (non-vaping/smoking group) and the experimental group, but some variables such as sleep quality and its association with diurnal preferences were not fully explained.
Try to explain the difficult materials to the original poster as best as you can. (This is where you can help them understand what they found difficult.)
Basically, the researchers looked at each trait or factor (like sleep quality, mindfulness, etc.) and asked, “Do vape users score differently than non-users on this one thing?” They used ANOVA for that. But they didn’t test how those variables relate to each other (like if poor sleep is caused by being an evening type). They just found that vape users tend to score worse on several things, and they talked about how those might all be linked in the discussion.
New Difficult Material (according to you):
What did you not understand about this paper that someone else may be able to help you with? Or, if you understood everything, what did you find most challenging to understand?
One challenge I had while reading the study was understanding the different psychological questionnaires used and what each one specifically measured. The study used several scales like the FFMQ for mindfulness, RRQ-R for rumination, SCS for self-compassion, PSQI for sleep quality, rMEQ for chronotype, and HADS for anxiety and depression. Since each of these tools measures a different psychological trait, I found it difficult to keep track of what each scale assessed, how the scoring worked, and how something abstract like self-compassion could be turned into a number. It made interpreting the results more confusing, especially when trying to understand the significance of the group differences.
BIOL 1593 – Assignment 2 Worksheet
Your Name: Blessing Nkereuwem Umoh
Student Number: T00788550
URL link:
• Paste the hyperlink to the website containing the original posting about the paper –
NOT to the scientific paper itself (either the public posting webpage, or the Moodle
forum webpage):
https://www.mdpi.com/2668974
Additional Translation:
• From which section of the paper is this passage?
Discussion
• Paste quoted text on the next line. Do not include quotation marks or a bullet mark:
While a couple of previous studies have examined links between vape use and the Big Five
personality traits (since the combustible cigarette literature also implicates these),
association have not been consistent. Thus, the current study adds important novel insights
into the traits associated with vape use, pointing to a significant role for mindfulness,
rumination, and self-compassion as trait-level factors that might predispose young adults to
use vape product.
• Write your translation on the next line:
Although, the previous studies have not consistently determined the relationship between
vape use and the five big personality traits (overview of cigarette combustible supports
these). Consequently, this study gives a clearer view on the traits associated with the use of
vape, considering the role of mindfulness, rumination and self-compassion as a trait factor
that may expose youngsters to vape use.