Educational Intervention for the Promotion of Knowledge and Preventive Health Behaviors Related to Personal Air Pollution Exposure, The Air Study
Reducing PM2.5 Exposure and Lung Cancer Risk Using Spatial Data Science (The Air Study)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
OUTLINE:
Participants watch 2 educational videos during week 3 regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure. Participants complete questionnaires at weeks 1 and 5.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Washington
-
Seattle, Washington, United States, 98109
- Fred Hutch/University of Washington Cancer Consortium
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Adults 18 years or older: The evidence for personal strategies to reduce air pollution exposure has been focused on adults
- Live in Seattle, WA: The study is designed to focus on Seattle, WA such as using EnviroFlash alerts
- Own a smartphone: The participant requires a smartphone to setup the Flow app for the air pollution sensor
- Not traveling in the near-term: The study is designed to assess air pollution patterns in the local Seattle area
- Leave your home for at least 7 hours per week: Participants will use a wearable air pollution sensor to measure air pollutant levels from indoor and outdoor sources
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Prevention (educational videos, questionnaires)
Participants watch 2 educational videos during week 3 regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure.
Participants will use wearable air pollution sensors.
Participants will complete questionnaires at weeks 1 and 5.
|
Complete questionnaires
Watch educational videos and use wearable air pollution sensor
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in knowledge regarding air pollution
Time Frame: At baseline and week 5
|
Will calculate the proportion of the items that were answered correctly.
McNemar's tests will be used to calculate differences in the proportion of participants answering air pollution knowledge items correctly at baseline and at week 5.
|
At baseline and week 5
|
|
Changes in air pollution preventive health behaviors
Time Frame: At baseline and week 5
|
Will calculate summary scores for air pollution preventive health behaviors and paired t-test to determine intervention effectiveness at baseline and at week 5.
|
At baseline and week 5
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Changes in perceived barriers
Time Frame: At baseline and week 5
|
Summary scores for perceived barriers (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale.
Paired t-tests will determine changes in perceived barriers at baseline and week 5.
|
At baseline and week 5
|
|
Changes in perceived benefits
Time Frame: At baseline and week 5
|
Summary scores for perceived benefits (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale.
Paired t-tests will determine changes in perceived benefits at baseline and week 5.
|
At baseline and week 5
|
|
Changes in perceived susceptibility
Time Frame: At baseline and week 5
|
Summary scores for perceived susceptibility (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale.
Paired t-tests will determine changes in perceived susceptibility at baseline and week 5.
|
At baseline and week 5
|
|
Changes in perceived severity
Time Frame: At baseline and week 5
|
Summary scores for perceived severity (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale.
Paired t-tests will determine changes in perceived severity at baseline and week 5.
|
At baseline and week 5
|
|
Changes in self-efficacy
Time Frame: At baseline and week 5
|
Summary scores for self-efficacy (guided by the Health Belief Model) will be calculated from participant questionnaire responses by summing the scores across the relevant scale.
Paired t-tests will determine changes in self-efficacy at baseline and week 5.
|
At baseline and week 5
|
|
Changes in cues to action
Time Frame: At baseline and week 5
|
Will calculate frequencies for each cue to action (guided by the Health Belief Model).
McNemar's tests will be used to calculate differences in the proportion of participants regarding each cue to action at baseline and week 5.
|
At baseline and week 5
|
|
Changes in air pollutant levels measured using the Flow 2 personal air quality sensor
Time Frame: At baseline and week 2 vs. week 4 and week 5
|
Paired t-tests will determine changes in air pollutant levels at baseline and week 2 vs. week 4 and week 5.
|
At baseline and week 2 vs. week 4 and week 5
|
|
Intervention feasibility (accessibility)
Time Frame: At week 5
|
Will report descriptive statistics for intervention accessibility based on responses to the relevant questionnaire items at week 5.
|
At week 5
|
|
Intervention feasibility (acceptability)
Time Frame: At week 5
|
Will report descriptive statistics for intervention acceptability based on responses to the relevant questionnaire items at week 5.
|
At week 5
|
|
Intervention feasibility (demand)
Time Frame: At week 5
|
Will report descriptive statistics for intervention demand based on responses to the relevant questionnaire items at week 5.
|
At week 5
|
|
Intervention feasibility (uptake, sensor upload completion)
Time Frame: At baseline through week 5
|
Will report descriptive statistics the proportion of participants completing sensor uploads.
|
At baseline through week 5
|
|
Intervention feasibility (uptake, educational video viewing)
Time Frame: At week 3
|
Will report descriptive statistics for the proportion of viewing educational videos at week 3.
|
At week 3
|
|
Intervention feasibility (uptake, questionnaire completion)
Time Frame: At baseline and week 5
|
Will report descriptive statistics for the proportion of completing the questionnaires at baseline and week 5.
|
At baseline and week 5
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Trang VoPham, Fred Hutch/University of Washington Cancer Consortium
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- RG1121435
- NCI-2021-04399 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
- 10685 (Other Identifier: Fred Hutch/University of Washington Cancer Consortium)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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