Study of Indoor Air Pollutants and Their Impact in Childhood Health and Wellbeing (SynAIR-G)

August 11, 2023 updated by: University Hospital, Montpellier

Disrupting Noxious Synergies of Indoor Air Pollutants and Their Impact in Childhood Health and Wellbeing, Using Advanced Intelligent Multisensing

The number and types of indoor air pollutants in schools is rising, however little is known about the impact of their potentially synergistic interactions, upon schoolchildren health. Among children, highly susceptible individuals to air pollution include allergy and asthma sufferers, and a low socioeconomic background, however no specific guidance is available.

The Syn-Air-G project will develop a comprehensive and responsive multipollutant monitoring system (in accessible and actionable formats) by constructing and deploying novel but validated and improved sensors of chemical and biological (allergens, microbes) pollutants) and advancing environmentally friendly interventions (including air purifiers). Health: A comprehensive multidisciplinary and exposome approach of health effects of multi-pollution in small children.

Study Overview

Detailed Description

Exposure to indoor air pollutants is evidently a critical issue for human health. For the paediatric population, good indoor air quality in the school's environment is an important contributor to the overall and respiratory health, attendance, and academic performance , while poor air quality is associated to a high risk for adverse health outcomes, especially in the vulnerable asthmatic population . Viruses, microbes, allergens, and chemical pollutants exhibit a complex interaction with the human immune system, depending upon several factors such as the age, predisposition (e.g., atopy) and identity of the agent . Pollen exposure increases the risk of viral infections, such as those attributed to rhinoviruses (RVs) and SARS-Cov2 , while viruses and allergens have been shown to interact with pollutants such as ozone (O3) and fine particles (PM2.5), increasing their morbidity effects. Viral infections, especially RVs, impair anti-bacterial innate immune responses , thus affecting the overall microbiome homeostasis.

There are suggestions of potential synergies between different environmental factors, including gas and particulate chemical pollutants, allergens, and viral/microbial species, particularly in the sensitive younger ages, however, such synergies have not been addressed in a real-life epidemiological, systematic, longitudinal study.

The list of indoor air pollutants associated with significant burden on health disorders and increasing social and economic costs, is long and expanding, as current knowledge evolves, on this particular subject. The detrimental effects of air pollution on several health aspects have recently been reviewed. Additionally, a joint statement by the American Thoracic Society (ATS) and the European Respiratory Society (ERS) integrated the latest scientific evidence showing that air pollution affects almost all systems of the human body, including the respiratory, cardiovascular, central nervous, and endocrine systems Studies based on google trend models have shown significant impact of pollutants on respiratory symptoms, especially during increased pollen season in sensitized individuals . Children, one of the most susceptible subgroups in the population, spend a large proportion of their time indoors such as in the school environments, thus, raising the interest in characterizing the health relevant air pollutants in this microenvironment. Studies of air quality composition in classrooms, has shown that several pollutants' levels exceed the recommended air quality standards . The detrimental health effects of exposure to school-derived pollution have been shown for certain pollutants , while a disproportionate effect has been documented in asthmatics, more so in those born prematurely. Schools also act as accumulators of airborne threats, such as viruses or allergens, which are of particular importance to a large but quite vulnerable proportion of the paediatric population: those will allergies and asthma . Allergens are well known elicitors of respiratory symptoms in sensitized individuals, although the allergen effect is person-specific and non-linear , while associations between aeroallergen exposure in schools and increased asthma morbidity has been documented . Although there is evidence suggesting potential synergies between several different factors, health effects of pollutants are more frequently assessed individually, while results on studies assessing multiple pollutants provide divergent results . The cumulative and/or synergistic exposure between chemical and biological (allergens, microbes) pollutants and how these may affect respiratory symptoms, immune, and mental health and DNA damage is barely known. Moreover, school-based environmental interventions on health outcomes studies, are small and not adequately powered.

The SynAir-Child study, within the context of the EU SynAir-G project, is an epidemiological real-life observational study, aiming to assess if there's a possible association and synergy between indoor air pollutant variability and general, respiratory, immune, and mental health outcomes in school children, based on different socioeconomic backgrounds and on different settings, in different Countries.

Previous studies, such as the European SINPHONIE study, the CAMP study on the association Between Allergen Exposure in Inner-City Schools and Asthma Morbidity Among Students, assessed in real-life settings the composition of school air quality and the impact of certain environmental elements on different health outcomes. Although the indication and aim of the studies is similar, the design of the SynAir-Child study provides a unique setting to prospectively assess the synergistic effects of pollutants at school and outdoor on several health aspects in a large and diverse cohort. In addition, outcomes that constitute an adverse health effect of air pollution on humans' health, as stated in the joint ERS/ATS policy statement, will be evaluated and included in the study. Most importantly, the continuous nature of information provided by sentinel devices set in the schools, will provide an individualized baseline of specific indicators that will be monitored during the follow-up period, to identify personalized health alterations, instead of comparing to generalized standards. It is estimated that the use of a personalized physiological profile can more accurately detect subtle changes in an individual's health markers, leading to a greater likelihood of early detection, in relation to the cumulative environmental exposures. Health outcome data, including respiratory health, immune fitness and both mental and non-mental perspectives will contribute to pollution sensing in an iterative way.

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Occitanie
      • Montpellier, Occitanie, France, 34295
        • University Hospital of Montpellier
        • Contact:
          • Davide P CAIMMI, MD,PHD
          • Phone Number: +33467 336 107

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

A maximum of 500 schoolchildren at CM1 level (French education system), equally distributed between males and females, will derive from a maximum of eight primary schools and 2-3 classes of CM1 in each school, when available. Therefore, two-three classrooms per schools, in no more than 8 schools, each year, over 2 consecutive school years will be monitored, and children will be followed-up during 10 months.

The selection of schools will be based on socioeconomic and air pollution criteria (differences between different regions of the participating centres) and whenever possible on annual reports on air quality (if available) from the respectively Directorate of Climate Change and Atmospheric Quality of the Ministry of Environment.

Description

Inclusion Criteria:

  • Child attending CM1 level at the beginning of the school year
  • Child in a classroom selected for the project
  • Child and caregiver(s) willing to follow the study procedures.

Exclusion Criteria:

Child or child's parents/guardian's who:

  • Refuse to participate to the project / to give informed consent
  • Do not want to use the application to fill the questionnaire and follow the protocol procedures.
  • Do not read or/and write in French
  • Plan a long stay outside the region that does not allow them to follow the visit plan

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Indoor classroom air concentrations of Pollutants and dust
Time Frame: For 10 Months
Classrooms concentrations (mean with standard deviation SD) of Viruses, Microbe, Allergens, Chemical Air Pollutants (particulate mater PM , NO2, VOCs, phthalates) (ppm part per million) in air and dust.
For 10 Months
Prevalence for respiratory disease
Time Frame: For 10 Months

Health outcomes measures by the prevalence (%) for allergic and respiratory health reported physician-based diagnosis of asthma and/or allergies.

Questionnaires about respiratory health disease based on validated International Study of Asthma and Allergies in Childhood (ISAAC) and PreDicta respiratory

  • Asthma Control Test (ACT) composed of 7 items with a Score 20 to 25 means a well-controlled asthma, Score 15 - 19: partially controlled asthma and a Score < 15 means an uncontrolled asthma
  • Asthma control questionnaire (ACQ) composed of 7 items and Scores range between 0 (totally controlled asthma) and 6 (severely uncontrolled).)
  • Visual Analogic Scale (VAS) Questionnaire on the App (a score of 0 no symptoms and 100 the most respiratory symptoms)
For 10 Months
Association between asthma and indoor air contaminants
Time Frame: For 10 Months
Significant association of indoor air quality contaminants and their interactions with health outcomes in schoolchildren: odds-ratio and 95% confidence interval between active asthma and indoor air total Volatile Organic Compound (VOCs) and dust phthalates.
For 10 Months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
prevalence of children presenting airways obstruction
Time Frame: Between baseline and 10 Months
In children, the severity of airway obstruction can be graded according to Forced expiratory volume in one second (FEV1) measured by spirometry, percentage predicted measured by spirometry: FEV1 <100% to 80% indicates mild obstruction in children; FEV1 <80% to 50% indicates moderate obstruction; FEV1 <50% to 30% indicates severe airway obstruction; and FEV1 <30% indicates very severe obstruction.
Between baseline and 10 Months
Prevalence of children with an abnormal FeNO
Time Frame: Between baseline and 10 Months

Percentages of children with an abnormal FeNO. In clinical practice, a normal FeNO test in children is any number less than 20 parts per billion (ppb) in patients without lung inflammation.

The FeNO will be measured with a handheld device (NIOX Vero®).

Between baseline and 10 Months
Quality of life and wellbeing
Time Frame: At 10 months
General health outcomes will be measured with the use of a subset of questions from the Child Health Questionnaire (CHD) with 13 items, height (centimeter) and weight (kilogram) Quality of life will be measured with the validated Pediatric Quality of Life (PedsQL) questionnaire composed of 23 items and score on a reverse scale of 100 points. ("Never") = 100 = better quality of life, ("Almost Never") = 75("Sometimes") = 50("Often") = 25 ("Almost Always") = 0 = worst quality of life.
At 10 months
diagnosis of any disease and respiratory diseases
Time Frame: At 10 months
General health confirmed by questionnaire and physicians based diagnosis VAS Questionnaire on the app Through Quality of life and wellbeing questionnaires based on validated International Study of Asthma and Allergies in Childhood (ISAAC), PreDicta respiratory, ACT, ACQ
At 10 months
Environmental source of pollutants
Time Frame: Baseline
Children and their caregivers will answer standardized questionnaires on sources and exposures of pollutant. (qualitative questionnaire, no scoring)
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2023

Primary Completion (Estimated)

September 1, 2025

Study Completion (Estimated)

September 1, 2026

Study Registration Dates

First Submitted

June 23, 2023

First Submitted That Met QC Criteria

August 11, 2023

First Posted (Actual)

August 18, 2023

Study Record Updates

Last Update Posted (Actual)

August 18, 2023

Last Update Submitted That Met QC Criteria

August 11, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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