Factors That Impact the Relationship Between Pulmonary Status and Actual Electronic Cigarette Use
NCT ID: NCT04135404
Last Updated: 2019-10-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
400000 participants
OBSERVATIONAL
2017-01-01
2017-12-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Factors That Impact the Relationship Between Pulmonary Status and Susceptibility to Electronic Cigarette Use
NCT04151784
Early Withdrawal Exposure and Negative Affect Withdrawal (NAW) Regulation Training for Smoking Cessation
NCT03912194
Pulmonary and Cardiac Effects of E-Cigarette Use in Pulmonary Patients Who Smoke Cigarettes
NCT05610514
E-Cigarettes: Dynamic Patterns of Use and Health Effects
NCT02527980
Withdrawal Exposure With Withdrawal Regulation Training for Smoking Cessation
NCT02192762
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
CROSS_SECTIONAL
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Pulmonary Group
This project will be achieved by using a publicly available data set (Behavioral Risk Factor Surveillance System, 2017). The subjects from the data set will be selected on their pulmonary status; pulmonary group are those who have reported any pulmonary diseases and they will be included in this study as pulmonary group.
health-related telephone surveys
The Behavioral Risk Factor Surveillance System (BRFSS) is a health-related telephone surveys that collect state data about United States residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services (Secondary-data analysis).
Control Group
This project will be achieved by using a publicly available data set (Behavioral Risk Factor Surveillance System, 2017). The subjects from the data set will be selected on their pulmonary status; The control group are subjects without pulmonary diseases and they will be included as (control group).
health-related telephone surveys
The Behavioral Risk Factor Surveillance System (BRFSS) is a health-related telephone surveys that collect state data about United States residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services (Secondary-data analysis).
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
health-related telephone surveys
The Behavioral Risk Factor Surveillance System (BRFSS) is a health-related telephone surveys that collect state data about United States residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services (Secondary-data analysis).
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Are 18 years of age or older.
* Reported any of the pulmonary disease (Asthma, COPD). Group 2: Control Group
* Are 18 years of age or older.
* Free from any pulmonary disease (asthma, COPD).
Exclusion Criteria
* Did not report any of the pulmonary disease (Asthma, COPD). Group 2: Control Group
* Are younger than 18 years of age.
* Reported any pulmonary disease (asthma, COPD
The Behavioral Risk Factor Surveillance System (BRFSS) is health-related telephone surveys that collect state data about United States residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services. This database contains data to help determine e-cigarette use in individuals with pulmonary disease in the US which little is known.
Note: The Behavioral Risk Factor Surveillance System (BRFSS) is a public dataset, and the data is publicly available online at (https://www.cdc.gov/brfss/annual\_data/annual\_2017.html)
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University of Alabama at Birmingham
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Mohammed Alqahtani
Ph.D. Candidate, Rehabilitation Science Program
References
Explore related publications, articles, or registry entries linked to this study.
Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [2017].
Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Questionnaire. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [2017]
Alqahtani MM, Alanazi AM, Pavela G, Dransfield MT, Wells JM, Lein DH Jr, Hendricks PS. Binge Drinking Moderates the Association Between Chronic Lung Disease and E-Cigarette Use. Respir Care. 2021 Jun;66(6):936-942. doi: 10.4187/respcare.08559. Epub 2021 Mar 9.
Related Links
Access external resources that provide additional context or updates about the study.
This a comprehensive description of this data set
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
IRB 300003376
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.