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NCT Number: NCT04922697

Educational Intervention for the Promotion of Knowledge and Preventive Health Behaviors Related to Personal Air Pollution Exposure, The Air Study

This clinical trial will conduct an educational intervention to promote knowledge of and preventive health behaviors related to personal air pollution exposure. Air pollution is n ubiquitous environmental exposure that is associated with harmful health effects including lung cancer. The educational intervention is comprised of 2 educational videos that include information regarding air pollution, health effects, and personal preventive health behaviors to reduce air pollution exposure and the use of a wearable air pollution sensor. The knowledge gained from this study may inform future research that will be designed to promote awareness of air pollution and its health effects.

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Key information

Conditions

Lung Carcinoma Lung Diseases Lung Neoplasms Neoplasms Neoplasms by Site Respiratory Tract Diseases Respiratory Tract Neoplasms Thoracic Neoplasms

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Fred Hutch/University of Washington Cancer Consortium

Seattle, Washington, 98109, United States

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Educational Intervention

Other

Watch educational videos and use wearable air pollution sensor

Other names: Education for Intervention, Intervention by Education, Intervention through Education, Intervention, Educational

Questionnaire Administration

Other

Complete questionnaires

Primary outcomes

  1. 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.

  2. 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.

Secondary outcomes

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. Intervention feasibility (uptake, sensor upload completion)

    Time frame: At baseline through week 5

    Will report descriptive statistics the proportion of participants completing sensor uploads.

  12. 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.

  13. 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.

Sponsors and collaborators

Lead sponsor

Fred Hutchinson Cancer Center

Other

Collaborators

  • Prevent Cancer Foundation

Registry information

Official study title

Reducing PM2.5 Exposure and Lung Cancer Risk Using Spatial Data Science (The Air Study)

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Jun 11, 2021
Registry last updated
Jul 21, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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