Jove
Visualize
Contact Us

Related Concept Videos

Stimulants01:29

Stimulants

807
Stimulants are substances that enhance neural activity and elevate dopamine levels in the brain, leading to their highly addictive nature. These drugs include cocaine, amphetamines, MDMA, caffeine, and nicotine, each with distinct mechanisms of action and varied health implications.
Cocaine can be administered via snorting, injection, or smoking. It primarily functions by blocking the reuptake of dopamine, resulting in a euphoric high characterized by an intense sensation of happiness and...
807
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

864
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
864

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Alcohol-cancer risk communication on social media: A content analysis of alcohol-related Instagram and TikTok posts.

Alcohol, clinical & experimental research·2026
Same author

Developing Topics.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Response to the Netflix Docuseries "Big Vape: The Rise and Fall of JUUL": Mixed Methods Analysis of YouTube Comments Using Qualitative Coding and Topic Modeling.

JMIR formative research·2025
Same author

Diet-focused behavioral interventions to reduce the risk of non-communicable diseases in low- and middle-income countries: A scoping review of existing evidence.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2025
Same author

Characterizing online social support for alcohol use disorder: A mixed-methods approach.

Alcohol, clinical & experimental research·2024
Same author

Deciphering the mechanisms, hormonal signaling, and potential applications of endophytic microbes to mediate stress tolerance in medicinal plants.

Frontiers in plant science·2023
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 8, 2026

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
08:39

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies

Published on: August 25, 2018

26.3K

A mixed-methods analysis of a do-it-yourself e-cigarette community on Reddit.

Arpita Tripathi1, Kar-Hai Chu1

  • 1Department of Behavior and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, United States.

Tobacco Prevention & Cessation
|December 15, 2025
PubMed
Summary

The US Food and Drug Administration's (FDA) ban on flavored e-cigarettes increased online discussions about policy and DIY mixing. However, safety concerns remained low among youth vaping communities.

Keywords:
DIY methodse-cigarettesflavor bannicotine and tobacco policysocial media

More Related Videos

A Microcontroller Operated Device for the Generation of Liquid Extracts from Conventional Cigarette Smoke and Electronic Cigarette Aerosol
09:30

A Microcontroller Operated Device for the Generation of Liquid Extracts from Conventional Cigarette Smoke and Electronic Cigarette Aerosol

Published on: January 18, 2018

8.8K
Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

12.0K

Related Experiment Videos

Last Updated: Jan 8, 2026

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
08:39

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies

Published on: August 25, 2018

26.3K
A Microcontroller Operated Device for the Generation of Liquid Extracts from Conventional Cigarette Smoke and Electronic Cigarette Aerosol
09:30

A Microcontroller Operated Device for the Generation of Liquid Extracts from Conventional Cigarette Smoke and Electronic Cigarette Aerosol

Published on: January 18, 2018

8.8K
Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

12.0K

Area of Science:

  • Public Health
  • Digital Health
  • Behavioral Science

Background:

  • Prevalence of flavored e-cigarette use among US youth.
  • FDA's federal ban on flavored e-cigarettes effective January 2, 2020.
  • Potential for DIY e-cigarette methods to circumvent regulations.

Purpose of the Study:

  • Describe discourse in a DIY e-cigarette subreddit.
  • Examine shifts in community discussions post-FDA flavor ban.
  • Understand unintended policy effects on online communities.

Main Methods:

  • Mixed-methods study of posts from r/DIY_eJuice (January 2019-January 2021).
  • Extracted 5110 posts; randomly selected 800 for coding (400 pre-ban, 400 post-ban).
  • Coded 12 thematic categories; used chi-squared tests for period comparisons.

Main Results:

  • DIY mixing (76%) and flavors (49%) remained frequent topics.
  • Policy discussions significantly increased post-ban (3.5% to 8.3%, p=0.004).
  • Safety discussions remained infrequent; experienced user discussions increased.

Conclusions:

  • Flavor ban influenced discourse, increasing policy and DIY technique conversations.
  • Discussions on safety were not significantly affected by the ban.
  • Continued surveillance of DIY communities is vital for public health strategies.