Immune Function Clinical Trial
— GEOHealth-IIOfficial title:
Long Term Effects of Household Air Pollution (HAP) Reduction on Cardio-pulmonary and Immune Function Outcomes - a Household Level Randomized mHealth Intervention Trial
Almost 3 billion people worldwide, including 89% people in Bangladesh, are exposed to harmful household air pollutants (HAP) emitted from combustion of biomass (wood, agricultural residue, cow dung, etc.) fuel use for cooking. While health risks associated with air-pollution have been reasonably well-studied in developed countries, there is little evidence on health benefits achievable by HAP reduction through clean fuel use, especially in low- and middle-income countries (LMICs). Earlier the investigators showed that Liquid Petroleum Gas (LPG) for 24 months, reduced personal PM2.5 exposure by 58.17 percent which induced novel changes in immune and inflammatory responses in the participants; however cardiopulmonary markers remained relatively stable in post-intervention assessment. In this study, the investigators aim to evaluate the effects of mobile phone based (mHealth) Behavioural Change Communication (BCC) intervention on adoption and exclusive use of LPG. The investigators also aimed to observe whether long-term effects of HAP reduction can impact the subclinical measures of cardio-vascular and pulmonary dysfunction and regulate innate and inflammatory immune function among women and children in semi-rural settings in Bangladesh. The investigators will also investigate the influence of exposure to HAP on antibody response to vaccines (adaptive immunity). The BCC intervention will be provided by conducting a large household level randomized controlled trial by educational intervention using mHealth based technology. In addition, the investigators will continue following the cohort and will conduct rigorous and repeated personalized (24 hours) and area (over 5 days) assessments of PM2.5 and black carbon (BC) exposure to examine the long-term effects of HAP reduction on subclinical measures of cardio-pulmonary and immune dysfunction including effect of HAP exposure on antibody response to vaccine.
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | June 2027 |
Est. primary completion date | May 2027 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 25 Years to 70 Years |
Eligibility | Inclusion Criteria: - Participants in the previous GEOHEALTH round-I study - Aged between 25 and 70 years - Live in biomass-using home with traditional stoves - Non-smoker and live with non-smokers - Exposed to <10 µg/L of water arsenic Exclusion Criteria: - Known to have immune related illness or taking any prescription medication (particularly those that suppress or enhance immune function) - Known to have any clinical events of CVD or lung disease, including stroke or coronary heart disease. |
Country | Name | City | State |
---|---|---|---|
Bangladesh | International Centre for Diarrhoeal Diseases Research, Bangladesh | Dhaka |
Lead Sponsor | Collaborator |
---|---|
International Centre for Diarrhoeal Disease Research, Bangladesh | Mailman School of Public Health, Marquette University, University of Chicago |
Bangladesh,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Personal air pollution | Measurement of personal air pollution (PM2.5 and BC level) by personal air pollution monitoring device | Pre-intervention | |
Primary | Personal air pollution | Measurement of personal air pollution (PM2.5 and BC level) by personal air pollution monitoring device | Two-year post intervention | |
Primary | Ambient air pollution | Measurement of ambient air pollution (PM2.5) by ambient air monitoring device | Pre-intervention | |
Primary | Ambient air pollution | Measurement of ambient air pollution (PM2.5) by ambient air monitoring device | Two-year post intervention | |
Primary | Lung function assessment by spirometry | Lung function assessment by spirometry | Pre-intervention | |
Primary | Lung function assessment by spirometry | Lung function assessment by spirometry | Two-year post intervention | |
Primary | Assessment lung pathology by chest X-ray and High-resolution Computed tomography | Lung pathology will be assessed by chest X-ray for all participants and high-resolution Computed tomography of the chest (HRCT) will be performed in selected participants. | Pre-intervention | |
Primary | Assessment lung pathology by chest X-ray and High-resolution Computed tomography | Lung pathology will be assessed by chest X-ray for all participants and high-resolution Computed tomography of the chest (HRCT) will be performed in selected participants. | Two-year post intervention | |
Primary | Measurement of cardiovascular disease (CVD) markers by measuring blood pressure | Preclinical markers of CVD assessment by blood pressure | Pre-intervention | |
Primary | Measurement of cardiovascular disease (CVD) markers by measuring blood pressure | Preclinical markers of CVD assessment by blood pressure | Two-year post intervention | |
Primary | Measurement of cardiovascular disease (CVD) markers by performing EKG | Preclinical markers of CVD assessment by EKG | Pre-intervention | |
Primary | Measurement of cardiovascular disease (CVD) markers by performing EKG | Preclinical markers of CVD assessment by EKG | Two-year post intervention | |
Primary | Evaluation of metabolic markers (diabetes) in blood at baseline. | Assessment of metabolic dysfunction by measuring HbA1c | Pre-intervention | |
Primary | Evaluation of metabolic markers (diabetes) in blood after intervention. | Assessment of metabolic dysfunction by measuring HbA1c | Two-year post intervention | |
Primary | Evaluation of metabolic markers (CVD) in blood. | Assessment of metabolic dysfunction by measuring fasting lipid profile. | Pre-intervention | |
Primary | Evaluation of metabolic markers (CVD) in blood. | Assessment of metabolic dysfunction by measuring fasting lipid profile. | Two-year post intervention | |
Primary | Assessment of immune function in blood cells | Immune function will be assessed by phenotyping using flowcytometry | Pre-intervention | |
Primary | Assessment of immune function in blood cells | Immune function will be assessed by phenotyping using flowcytometry | Two-year post intervention |
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