Clinical trial NCT04135404: Factors That Impact the Relationship Between Pulmonary Status and Actual Electronic Cigarette Use
Official title: Factors That Impact the Relationship Between Pulmonary Status and Actual Electronic Cigarette Use (Secondary Data Analysis)
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Electronic Cigarette Use
Pulmonary Disease
Lead sponsor: University of Alabama at Birmingham
Sponsor class: OTHER
First posted: 2019-10-22
Enrollment: 400000
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: CROSS_SECTIONAL
Sampling method: PROBABILITY_SAMPLE
Study population: * This study will use a quantitative, cross-sectional research design. The project has two phases for completion.
* This project will be achieved by using a publicly available dataset (Behavioral Risk Factor Surveillance System, 2017). The subjects from the dataset will be selected on their pulmonary status; subjects without pulmonary diseases and those who have reported any pulmonary diseases will be included in this study

Brief summary: Secondary data analysis will be performed as our approach to complete the study. A nationally representative dataset (BRFSS, 2017) will be used to answer the above hypotheses.

Detailed description: Secondary data analysis will be performed as our approach to complete the study. A nationally representative dataset (BRFSS, 2017) will be used to answer our research questions. Our rationale is that there is insufficient research assessing the relationship between pulmonary status and e-cigarette use and that some factors, such as behavioral variables or psychosocial variables, might influence this relationship. Our expectation is that this study will deepen the understanding of the relationship between pulmonary status and e-cigarette use among U.S. adults. This study will cast light on different factors that influence the relationship between pulmonary status and e-cigarette use. Also, the following secondary outcomes will be tested: Severity of COPD symptoms (COPD group) moderate the relationship between pulmonary status (COPD status) and e-cigarette use, and Severity of asthma symptoms (asthma group) moderate the relationship between pulmonary status (asthma status) and e-cigarette use.

Eligibility criteria: This is secondary data analysis, so there is no control over the data (inclusion criteria, and exclusion criteria).

Inclusion Criteria:

Group 1: Pulmonary

* 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 Group 1: Pulmonary

* Are younger than 18 years of age.
* 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)

Primary outcomes:
measure: Poor mental health mediate the relationship between pulmonary status (pulmonary vs. non-pulmonary) and e-cigarette use.
timeFrame: 1 year
measure: Smoking mediate the relationship between pulmonary status (pulmonary vs. non-pulmonary) and e-cigarette use.
timeFrame: 1 year
measure: E-cigarette use (Dependent Variable)
timeFrame: 1 year
measure: Alcohol use moderate the relationship between pulmonary status (pulmonary vs. healthy) and e-cigarette use
timeFrame: 1 year
measure: (healthy days (health-related quality of life) mediate the relationship between pulmonary status (pulmonary vs. non-pulmonary) and e-cigarette use.
timeFrame: 1 year
Secondary outcomes:
measure: Marijuana use moderate the relationship between pulmonary status (pulmonary vs. healthy) and e-cigarette use.
timeFrame: 1 year
measure: Severity of COPD symptoms (COPD group) moderate the relationship between pulmonary status (COPD, asthma) and e-cigarette use
timeFrame: 1 year
measure: asthma symptoms (asthmatic group) moderate the relationship between pulmonary status (COPD, asthma) and e-cigarette use.
timeFrame: 1 year
Other outcomes:
Locations:
Study officials:
References:
citation: 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].
citation: 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]
citation: 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.