ABSTRACT
Indoor air quality (IAQ) is influenced by a wide range of chemical, biological and physical agents that can negatively impact physical, immunological and mental health. Adverse health effects depend on the type and concentration of pollutants, duration of exposure, and individual susceptibility. The availability of data on IAQ is limited, as are standardized approaches for evaluating its health impact. This expert review aims to describe the most important indoor air determinants affecting health, and present the IDEAL cluster, which comprises seven EU‐funded scientific projects on the topic of IAQ and human health. Across the IDEAL projects, knowledge is generated on exposure to a wide range of indoor air pollutants, including well‐known hazards and more explorative chemical and microbiological determinants. The projects will also contribute to the implementation of low‐cost and/or real‐time sensors on IAQ, as well as advanced chemical and microbiological analyses, and evaluate various interventions to improve IAQ. Several of them focus on particularly vulnerable groups. Raising public awareness and implementing measures to reduce pollutant levels are essential for safeguarding health, particularly in urban areas with elevated pollution levels.
Keywords: exposure, health, indoor air quality, pollution
Abbreviations
- BPA
bisphenol A
- CH4
methane
- CO
carbon monoxide
- CO2
carbon dioxide
- COPD
chronic obstructive pulmonary disease
- ETS
environmental tobacco smoke
- H2S
hydrogen sulfide
- IAQ
indoor air quality
- NH3
ammonia
- NO2
nitrogen dioxide
- NOx
nitrogen oxides
- O3
ozone
- PAH
polycyclic aromatic hydrocarbon
- PCB
polychlorinated biphenyl
- PFAS
polyfluoroalkyl substance
- PM
particulate matter
- RH
relative humidity
- RSV
respiratory syncytial virus
- RV
rhinovirus
- SO2
sulfur dioxide
- SVOC
semi‐volatile organic compound
- T
temperature
- TVOC
total volatile organic compounds
- UFP
ultrafine particle
- VO
Crvolatile organic compound
1. Introduction
Indoor air quality (IAQ) and health are closely connected. People spend approximately 90% of their time indoors [1]. Uncontaminated indoor air sustains cognition and working capacity, reduces the spread of infectious and allergic agents, protects against pollutants, and strengthens the immune system when biodiversified [2, 3]. Conversely, low‐quality indoor air, which contains a wide range of chemical, biological, and physical agents, can cause adverse physical, immunological and mental health effects, temporarily or permanently [4, 5, 6]. Beyond the known hazards, we are faced with a large amount of uncertainty in the composition and potential impacts of chemicals in indoor environments. Today, > 350,000 chemicals are in commerce [7], and many of these chemicals are used in consumer products and building materials with the potential to be released into indoor environments, with further possibility of reaction and degradation [8]. Air pollution contributes to approximately 400,000 premature deaths and millions of disability‐adjusted life years annually in Europe [9, 10]. The economic burden related to air pollution in Europe is estimated at 100–200 billion euros per year, consisting of healthcare expenses, lost work productivity, and reduced quality of life [11].
The manifestation of health effects depends on both the magnitude of exposure and people's susceptibility (Figure 1). The most vulnerable populations to the adverse effects of indoor air pollution include children, chronically ill individuals, and the elderly [3, 12, 13, 14]. Exposure to pollutants begins during the prenatal period when the fetus is exposed to pollutants while in utero. Children are particularly at risk due to several factors: their developing respiratory and immune systems, the ratio of smaller body size and inhaled air volume, and their longer life expectancy in which the risk is expressed. Additionally, children's increased physical activity and exploratory behavior (e.g., hand‐to‐mouth activity), higher breathing rate, tendency to breathe through their mouths, and frequent interaction with ground‐level pollutants further heighten their exposure to harmful substances [3, 15].
FIGURE 1.

Risk factors and protective factors related to the health effects of air quality. Avoidable factors are shown in red, protective factors in green and others in black. The figures depict (a) poor and (b) good air quality (modified after creation by ChatGPT). RSV, respiratory syncytial virus; RV, rhinovirus.
Complex interactions between environmental factors and dynamic biological processes remain insufficiently understood, posing a challenge in developing effective strategies for monitoring and improving IAQ. The IDEAL cluster comprising seven EU‐funded scientific projects (EDIAQI, InChildHealth, INQUIRE, K‐HEALTHinAIR, LEARN, SynAir‐G, TwinAIR) addresses this need by focusing on both indoor and outdoor air pollution, their main sources and their effects on public health across Europe (Tables 1 and 2). The cluster's goal is to optimize synergies, avoid research overlaps and maximize the impact of these projects. In this expert review, we describe both chemical and biological pollutants related to air quality and the relation to human health.
TABLE 1.
The IDEAL cluster projects.
| Project | Aim | Country | Setting | Monitoring and sampling |
|---|---|---|---|---|
| EDIAQI | To validate user‐friendly IAQ monitoring solutions that can help create a long‐term Europe‐wide knowledge base for risk factors associated with standard and novel indoor air pollutants | Belgium, Austria, Croatia, Denmark, Estonia, Germany, Greece, Italy, Lithuania, Slovenia, Spain | Kindergarden, school, social care building, office, entertainment, residential building; focus on pollution sources, toxicology and health risks (200 children) |
Monitoring: low‐cost sensor, active sampling with pumps on the filter, passive sampling with solid‐state nuclear track detector, passive sampling with activated charcoal filters, passive sampling on filters, passive sampling with Radiello air quality monitoring system, active sampling on adsorption tubes with pumps Biomarkers of effect: alkaline comet assay, cytokinesis‐block micronucleus assay, buccal micronucleus assay, FeNO Biomarkers of exposure: inductively coupled plasma MS Microbiological analysis: analysis of dust samples to retrieve microbiome data from children's beddings Prospective cohort: demographic data, extensive clinical data, transcriptomics, biological samples and follow‐up data |
| InChildHealth | To identify determinants for IAQ and evaluate their health impact in environments occupied by school children, focusing on chemicals, particle concentrations, microorganisms and physical parameters | Finland, Austria, Denmark, Greece, Portugal, Spain, Switzerland, United Kingdom | School, home, sports hall, transport; 50 primary schools (≈4500 school children invited for the epidemiological study) |
Monitoring: real‐time monitoring solutions for gaseous and particulate pollutants and organisms such as bacteria and fungi, multi‐methods based on GC with tandem MS/MS and LC for non‐polar and polar compounds Microbiological analysis: passive samplers (settled dust, swab, electrostatic dust collector) and active sampling (impinger and impaction), microbial assessment by culture‐dependent and independent methods, microbial resistance profile, mycotoxins and endotoxins, standard methods for microbiology and inflammation marker detection Subjective assessment: questionnaires |
| INQUIRE | To evaluate innovative actions to reduce hazardous chemical and biological determinants in homes, positively impacting the health of residents, focusing particularly on infants and young children (< 5 years old) | Norway, Australia, Belgium, Czech Republic, Estonia, Finland, Germany, Italy, the Netherlands, Portugal, Slovenia, Sweden, United Kingdom | Home of small children; 200 homes |
Monitoring: low‐cost sensors, passive air sampling with Tenax Tubes for VOCs, passive air sampling with PDMS for SVOCs, settled dust collection for SVOCs and in vitro analyses, collection of household products for SVOCs, in vitro and in vivo bioassays Chemical characterization: broad‐scale screening of VOCs in indoor and outdoor air (HRGC–MS), broad‐scale screening of SVOCs in indoor and outdoor air (HRLC–MS, HRGC–MS), broad‐scale screening of SVOCs in settled dust and products (HRLC‐MS, HRGC–MS), emission of VOCs from products (GC‐MS) Biomarkers of exposure: targeted analyses of metabolites in urine (LC–MS/MS) Biological characterization: standard methods for endotoxins, microbials and allergens in settled dust Subjective assessment: questionnaires |
| K‐HEALTHinAIR | To increase knowledge about chemical and biological indoor air pollutants affecting human health, and to provide solutions for more accurate monitoring and improvement of IAQ | Spain, Austria, Germany, Ireland, the Netherlands Norway, Poland, Portugal | Hospital, metro station, market, senior home, canteen, students' residence, lecture hall, home, school; focus on pollution sources |
Monitoring: active and passive air samplers, for VOCs, and aldehydes, low‐cost sensors, aspirators (quartz filters and sorbent tubes), microbiological samplers (impactors, impingers), gravimetry (PM), HRMS (VOCs), GC‐FID (PAHs) Microbiological analysis: culture‐dependent techniques, 16S rRNA and internal transcribed spacer rRNA amplicons sequencing |
| LEARN | To control and evaluate IAQ at schools and its impact on children's health and cognition | Denmark, Belgium, Germany, Greece, the Netherlands, Switzerland, Portugal, Spain | School; focus on sensors |
Monitoring: active and passive air samplers, for VOCs, and aldehydes, low‐cost sensors for detecting the levels of PM, and passive and active samplers for PM to characterize the PMs, GC‐FID, GC–MS and high‐performance LC, scanning electron microscopy, transmission electron microscopy Microbiological analysis: standard bacteria and fungi methods |
| SynAir‐G | To reveal and quantify synergistic interactions between different pollutants affecting health, from mechanisms to real life, focusing on the school setting | Greece, Finland, France, Georgia, United Kingdom | School; 2000 children, prospectively followed for a school year |
Monitoring: HR aerosol MS, proton transfer reaction, MS, scanning mobility particle sizer, aethalometer, gas‐monitors, ENSENSIA‐air quality monitoring station, automated bioaerosol counts (Pollensense) Microbiological analysis: devices sensing biological pollutants, biologic samples (blood, nasal secretion, urine samples) Subjective assessment: questionnaires Objective health assessment: spirometry (lung function), microbiome |
| TwinAIR | To explore the impacts of indoor environments on acute and chronic health and wellbeing outcomes (including respiratory health, general symptoms, mental health, somatization, productivity), and the interaction between air quality and the human microbiome, and to provide practical tools to mitigate IAQ risks in urban settings | Spain, Germany, Greece, Sweden, United Kingdom |
Workplace, university lecture hall, study area, library, hospital, elderly care centre, public transport (bus); 900 adults, across 45 diverse indoor spaces used for work, study, leisure or travel |
Monitoring: low‐cost continuously measuring sensors, high volume sampler (Sibata, quartz filters) and MD8 Airport (Sartorius, gelatin filters), elemental composition analysis using inductively coupled plasma atomic emission spectroscopy and ‐MS Microbiological analysis: metagenomics shotgun sequencing, culturomics and antibiotic resistance testing Subjective assessment: questionnaires Objective health assessment: spirometry (lung function), microbiome and resistome |
Abbreviations: FeNO, fractional exhaled nitric oxide; FID, flame ionization detector; GC, gas chromatography; HR, high resolution; IAQ, indoor air quality; LC, liquid chromatography; MS, mass spectrometry; PAH, polycyclic aromatic hydrocarbon; PM, particulate matter; SVOC, semi‐volatile organic compound; VOC, volatile organic compound.
TABLE 2.
Indoor exposures investigated by the IDEAL cluster projects.
| Indoor exposures | EDIAQI | InChildHealth | INQUIRE | K‐HEALTHinAIR | LEARN | SynAir‐G | TwinAIR |
|---|---|---|---|---|---|---|---|
| PM1, PM2.5, PM10 | × | × | × | × | × | × | × |
| CO, CO2 | × | × | × | × | × | × | × |
| NO, NO2, NOx | × | × | × | × | |||
| VOCs, SVOCs, TVOCs | × | × | × | × | × | × | × |
| PAHs | × | × | × | × | |||
| O3 | × | × | × | × | |||
| SO2 | × | × | |||||
| NH3, CH4, H2S | × | ||||||
| Flame retardants, PFASs, phthalates, biocides | × | × | |||||
| Aldehydes | × | × | × | × | × | ||
| Radon | × | × | × | × | |||
| Metals | × | × | × | ||||
| Microplastics | × | ||||||
| Allergens | × | × | × | ||||
| Microbes (viruses, bacteria, fungi) | × | × | × | × | × | × | × |
| Temperature, humidity | × | × | × | × | × | × | × |
| Noise, light | × | × |
Abbreviations: CH4, methane; CO, carbon monoxide; CO2, carbon dioxide; H2S, hydrogen sulphide; NH3, ammonia; NO, nitric oxide; NO2, nitrogen dioxide; NOx, nitrogen oxides; O3, ozone; PAH, polycyclic aromatic hydrocarbon; PFAS, polyfluoroalkyl substance; PMx, particulate matter with aerodynamic diameter less than or equal to × μm; SO2, sulfur dioxide; SVOC, semi‐volatile organic compound; TVOC, total volatile organic compounds; VOC, volatile organic compound.
2. Indoor Exposure
2.1. Gaseous Compounds
Carbon monoxide (CO) and dioxide (CO2), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and other gases significantly worsen IAQ [8, 14, 16, 17], as shown in Figure 2. In addition to indoor sources, outdoor air‐related emissions from transportation, domestic heating, biomass burning, industry and others influence indoor levels of these pollutants (Figure 3).
FIGURE 2.

Typical variation of concentrations of major indoor air pollutants in a classroom during the day. (a) CO2, (b) NOx, (c) O3, (d) PM1, (e) total measured VOCs, (f) percent contribution of each VOC component to the total VOCs based on carbon, (g) molecular percent contribution of each VOC component to the total VOCs. The measurements were performed during the SynAirG project in a typical Athens elementary school during January 2024. CO2, carbon dioxide; NOx, nitrogen oxides; O3, ozone; PM1, particulate matter with aerodynamic diameter less than or equal to 1 μm; VOC, volatile organic compound.
FIGURE 3.

Schematic drawing of the different sources (colored arrows) of indoor air pollutants in classrooms: Outdoor to indoor, chemical emissions from surfaces, and materials. Indoor environmental quality is also affected by co‐exposures, such as temperature, humidity, noise, light and the synergies between them and occupation density. The classroom is drawn by ChatGPT.
Indoor CO ranges from 0.5 to 5 ppm but surpasses 30 ppm when using gas stoves [18] or other sources involving incomplete combustion like unvented kerosene heaters or smoking [14, 19, 20, 21]. An insufficient supply of replacement air in relation to the number of users can also raise the CO level considerably. The risk of incomplete combustion is high in solid fuel stoves, especially if their technical condition is poor and the room is poorly ventilated.
CO2 is a natural component of indoor air, primarily produced by human respiration [14, 22]. Inadequate ventilation increases CO2 concentrations. Levels above 1000 ppm have been connected to health effects first appearing as neurological symptoms and impaired cognitive function [22, 23].
NO2 is primarily emitted indoors by combustion appliances like gas stoves and heaters and outdoors by the burning of fuel [14, 16, 18, 19, 20, 21]. SO2 is mainly emitted during the combustion of sulfur‐containing fossil fuels, such as coal and oil [16, 19, 20]. More than half is emitted by industrial activities, but it is also released by residential and business heating. Photochemically formed O3 infiltrates indoor environments [18, 20, 24]. Typical indoor concentrations range from 20% to equal outdoor levels, with increased levels during appliance use [18]. Exposure to these gases causes respiratory irritation and asthma‐related symptoms [17, 18, 19, 20].
2.2. Particulate Matter, Polycyclic Aromatic Hydrocarbons, Metals and Microplastics
Particulate matter (PM) refers to all airborne particles. More specifically PMx refers to the particle mass for all particles with diameters not exceeding × μm. PM2.5 is considered the most relevant fraction for human health and is the major focus of legislation. Many households in low‐ and middle‐income countries exceed WHO guidelines of indoor PM2.5 levels (24‐h ≤ 15 μg/m3, annual ≤ 5 μg/m3), for example, in South Asia and Sub‐Saharan Africa average indoor PM2.5 levels may frequently exceed 200–300 μg/m3, while European levels are generally below 30 μg/m3 [25].
A major source of indoor PM is outdoor air [26, 27, 28]. Road traffic, domestic heating, biomass burning, industry, dust and pollen (birch and grasses) are some of the significant outdoor sources of PM [14]. Indoor PM originates from biological sources, such as pet dander and dust mites, as well as human activities, including cooking, heating with stoves and fireplaces, burning candles, cigarettes, and incense, along with the use of chalk in classrooms [14, 16, 20, 21, 29, 30]. Additionally, cleaning products, laundry detergents and air fresheners emit indoor aerosol pollutants. Environmental tobacco smoke (ETS) remains a critical source of indoor pollutants in homes despite public smoking bans [31]. ETS, burning of fuels for heating, and candle emissions are also major sources of polycyclic aromatic hydrocarbons (PAHs) [14, 32]. Heating buildings using solid fuels significantly increases the concentrations of PAHs in the air during the winter season, and buildings located further away from residential sources are usually less affected by high PAH concentrations, as shown in Figure 4.
FIGURE 4.

Marked variations in benzo(a)pyrene equivalent (BaPeq) concentrations in 6 schools in the Warsaw area (Poland) in summer and winter seasons (a) and mean values for all schools in both seasons (b). Continuous samples of PM4 were collected on quartz filters (GilAir Plus aspirators, Sensidyne, USA) within a 7‐day period in different schools and PAHs were determined using a gas chromatograph. Outdoor samples were collected in the city, near residential blocks heated by the municipal heating system and single‐family houses using solid fuels. Buildings using solid fuels for heating significantly increase the concentrations of PAHs in the air during the winter season. Consequently, interiors of neighboring buildings (even those heated in a different way), like nearby schools, experience elevated PAH concentrations in winter (schools 2, 3 and 5). Buildings located further away from residential sources are usually less affected by high PAH concentrations (schools 1, 4 and 6). Samples were collected in summer 2023 and winter 2023/2024 as part of the K‐HEALTHinAIR project. PAH, polycyclic aromatic hydrocarbon; PM4, particulate matter with aerodynamic diameter less than or equal to 4 μm.
Particle‐bound metals can be produced during combustion processes [33] (e.g., cooking [34], smoking [35], candle and incense burning [36]), or by using consumer products, electrical components and building materials (e.g., paint). Notable examples are iron [35, 36, 37], copper [36, 37, 38], zinc [35, 36, 38], manganese [36], cadmium, often associated with cigarette smoke and combustion activities [35], and lead [33, 35], linked to historical use in paints, pipes, and combustion processes. Personal care products can contain metals and contaminants [36, 39, 40]. Microplastics, plastic particles less than 5 mm in size, are also of emerging concern due to their potential to cause respiratory and systemic health effects [41].
2.3. Volatile Organic Compounds
Volatile organic compounds (VOCs) are defined by their property of having a high vapor pressure so that under normal indoor conditions they can evaporate and are present in indoor air as gases [14, 42, 43]. VOCs are not defined by their toxicological properties. Nevertheless, many VOCs can pose a risk to human health.
Emissions from new furniture, flooring, paints, adhesives, cleaning products, personal care products, air fresheners, and ETS are common sources of VOCs [31, 42, 43]. Many different VOCs, like formaldehyde, acetaldehyde, methanol, ethanol, acetone, benzene, toluene, and xylenes, were detected in school air (Figure 5). Other relevant VOCs include vinyl chloride, isoprene, naphthalene, styrene, trimethylbenzene, phenol, dichlorobenzenes, and monoterpenes. While the composition of VOCs in indoor environments may vary depending on for example, products used and the ventilation rates, overall chronic exposure is inevitable.
FIGURE 5.

Marked variations in individual VOC levels inside (In) and outside (Out) an elementary school classroom in Athens, Greece during school or non‐school hours. The continuous measurements were performed with a Proton‐Transfer‐Reaction Mass Spectrometer during the SynAir‐G project in January 2024. Data expressed as medians, interquartile ranges and ranges (ppb, parts per billion). VOC, volatile organic compound.
Many studies have shown the health impacts of VOCs. At the EU level, the lowest concentration of interest (EU‐LCI) is a health‐based guidance value to assess VOC emissions. Of more than 90 substances assessed de novo, 40% of the EU‐LCIs are based on effects in the respiratory tract, 11% on reproductive toxicity and 37% on other types of systemic toxicity, often drawing on animal data [44].
Despite a large and growing body of research, for many VOCs data are missing, and robust data on exposures in indoor environments are lacking. Future research should standardize VOC measurement and further explore the long‐term health effects of chronic exposure to them [43, 45].
2.4. Semi‐Volatile Organic Compounds
Semi‐volatile organic compounds (SVOCs) are less volatile than VOCs. They are present in indoor air as vapors but are also present in the particulate phase and can be absorbed onto surfaces [46]. SVOCs include phthalates, PAHs, nicotine, etc. The exposure to SVOCs is via air inhalation, dust ingestion, dermal and oral exposure. Health effects associated with SVOCs are difficult to link to specific compounds, as the impacts of concern are chronic, sub‐lethal, and complicated by the presence of complex mixtures of SVOCs and the many routes of exposure in indoor environments. As a result of this challenge, few health‐based guidelines exist for SVOCs in indoor non‐occupational environments.
The diversity of SVOC chemical families and their properties, and the dynamic nature of indoor airflows make comprehensive characterization challenging. Characterization of chemicals in house dust has identified 2350 different compounds [47]. Certain categories of SVOCs have received focused attention in indoor environments, in particular plasticizers such as phthalate esters, bisphenols, flame retardants, polychlorinated biphenyls (PCBs), per‐ and polyfluoroalkyl substances (PFAS), PAHs, fragrance compounds and other personal care/cleaning product additives [48].
Certain SVOCs, including PCBs and PFAS, are known to bioaccumulate in humans and pose significant health risks [49, 50]. However, the absence of large cohort studies has hindered the establishment of clear links between exposure and adverse health effects. Other SVOCs, including flame retardants, have been associated with male reproductive effects, respiratory impacts on children, and neurological development [51, 52]. High PAH levels, particularly from coal use in indoor spaces, have been strongly associated with lung cancer [53]. Phthalates are widely used in consumer products and materials and are ubiquitous in indoor environments. Early‐life exposure to phthalates has been linked to an increased risk of developing childhood asthma and allergies [54]. Similarly, bisphenol A (BPA), commonly used in a wide range of plastics, is a well‐known endocrine disruptor with potential impacts on metabolic health [55].
Addressing such possible additive or synergistic effects from SVOC mixtures indoors remains a significant challenge in the field [56]. However, recent advancements in analytical technologies, data processing tools, and the increasing prevalence of large cohort studies offer promising avenues for addressing these complexities in the near future.
2.5. Bioaerosols
Bioaerosols, composed of microorganisms, their metabolic products, cell debris, pollen and spores, range in size within the diameter of 100 μm, with health risk increasing when a significant proportion falls within the respirable PM2.5 (diameter no greater than 2.5 μm) fractions [57, 58, 59, 60]. Airborne microorganisms are fundamental to both ecological balance and human health, contributing significantly to ecosystem stability and immune system development [61]. The ability of bioaerosols to travel over large distances due to evolved protective mechanisms underscores their significance in public health and environmental systems [57, 62, 63, 64, 65].
Air harbors a high diversity and abundance of human pathogens including bacteria, fungi, viruses, pollen, and insects [66, 67]. Young children, the elderly and allergic or immunocompromised individuals often suffer most, when concentrations of certain microbial species, allergens, mycotoxins and endotoxins become abnormally high [66, 68, 69, 70, 71, 72]. Aeroallergens (pollen, fungi) particularly affect sensitized individuals that is, those who have developed allergen‐specific IgE, mediating immediate‐type allergic diseases (e.g., rhinoconjunctivitis, asthma) [73].
The indoor bacterial microbiome is a combination of species originating from inhabitants and outdoor air, with Gram‐positive genera dominating, such as Micrococcus, Staphylococcus, Streptococcus, Kocuria, Corynebacterium, Actinobacteria, Arthrobacter and Bacillus. Less numerous Gram‐negative bacteria, including Enterobacter, Pseudomonas, Alcaligenes, Acinetobacter, Moraxella and Pantoea, are of increasing concern due to the release of endotoxins [66, 68, 74, 75, 76]. The fungal microbiome in buildings without dampness problems is largely outdoor‐derived and shaped by geography, with common genera including Cladosporium, Alternaria, Aspergillus, Trichoderma, Fusarium, Penicillium, Rhizopus and Stachybotrys [66, 74, 75, 76]. Seasonal variations (higher in warm seasons) occur in naturally ventilated spaces, as shown in Figure 6. High humidity and insufficient ventilation alter the indoor air microbiome [68, 77], promoting fungi like biocide‐tolerant and mycoparasitic Trichoderma [77] and Aspergillus, a WHO's 2022 fungal priority pathogen [78]. Each indoor setting harbors a unique microbiome fingerprint, with bacterial communities shaped by human occupancy, whereas fungi are primarily derived from the outdoor environment [27, 66, 68, 74, 75, 76, 79, 80]. Pollen grains/spores can be transported indoors with open doors/windows, ventilation ducts and residents, and the indoor concentrations of allergens can remain elevated for a long time [81, 82, 83, 84, 85].
FIGURE 6.

Abundance of bacteria and fungi in summer (a) and winter (b) outdoors and in classrooms of a Polish school as part of the K‐HEALTHinAIR project. Marked variations are seen between classrooms and according to the seasons. Samples (10 replicates) were collected using Mas 100 Eco impactors (Merck Millipore) during lessons in a well‐ventilated classroom (open windows, classroom 1) and in classrooms with closed windows (classrooms 2 and 3). Error bars represent standard errors of the means. Bacterial and fungal colonies were cultured on tryptone soya agar and malt extract agar at 37°C and 20°C for 2 and 5 days, respectively.
Opportunistic pathogens occur in lower abundance in residential spaces compared to higher‐risk environments like hospitals [86, 87, 88]. Schools are reported as buildings with the highest bioaerosol levels due to high occupancy and insufficient ventilation [74, 77, 89, 90]. Research on SARS‐CoV‐2 and the COVID‐19 pandemic has heightened attention to bioaerosols and factors shaping the structure of indoor air microbiomes and the transmission of harmful microorganisms [91, 92, 93, 94]. In poorly ventilated, crowded spaces, higher viral loads increase the risk of airborne transmission [95]. This highlights the importance of designing healthier indoor spaces to mitigate the risks associated with airborne pathogens [96, 97].
Non‐pathogenic microorganisms originating from the environment may act as benign stimuli, promoting immune resilience and reducing susceptibility to infections and allergies [98, 99, 100, 101, 102, 103, 104]. The emerging biodiversity hypothesis is based on the concept that contact with natural environments enriches the human microbiome, promotes immune balance and protects from allergy and inflammatory disorders [2]. Our immune system is protected by microbiota of the gut, skin and airways which are shaped by the biodiversity (by definition, the variability of living organisms from all sources) of our environment. Our microbiota is based on all we eat, drink, touch or inhale. Development and maintenance of mucosal tolerance are dependent on a healthy epithelial barrier as well as environmental exposure to diverse bioparticles and microbiota [2, 105]. Efficient interaction between Toll‐like receptors and the ligands of microbes and bioparticles enhances normal mucosal function and prevents allergen‐specific type 2 inflammatory events [106, 107, 108].
2.6. Relationship Between Outdoor and Indoor Air Quality
Outdoor air pollutants significantly impact IAQ, primarily through infiltration processes and occupant behaviors. While people spend approximately 90% of their time indoors, understanding how outdoor pollutants affect IAQ is crucial for public health [1, 38, 109]. Outdoor air pollutants can enter indoor spaces through various pathways, including open windows, doors, and ventilation systems. This infiltration is influenced by factors such as building infrastructure and weather conditions. For instance, during wildfire seasons, PM2.5 concentrations indoors can be more than twice the concentrations observed outdoors [110]. Homes located near major roadways have elevated levels of black carbon, CO, and NO2, which can cause health risks for residents [111, 112].
The characteristics of a building, such as its ventilation system, building and furnishing materials, and proximity to pollution sources, play a critical role in determining IAQ. Buildings with open windows have increased indoor black carbon and PAH levels [111]. However, buildings with mechanical ventilation systems may have higher indoor/outdoor (I/O) ratios of pollutants compared to those without, indicating that the design and operation of these systems can either mitigate or increase pollutant levels [111]. The I/O ratios of bioaerosol concentration are employed to quantify the effect of outdoor sources on indoor air microbiota [27, 70, 79, 89, 113, 114, 115, 116]. The I/O ratio is usually > 1 for bacterial concentrations, indicating that the dominant sources are occupants and their activities. In contrast, the fungal I/O ratio is usually < 1 indicating that outdoor air is a major source of the fungal microbiome. For many VOCs and SVOCs, the concentrations are significantly higher indoors than outdoors (I/O > 1) and ventilation is an important measure to reduce exposure.
In summary, outdoor air pollutants can severely compromise IAQ. The location and characteristics of buildings significantly influence this impact. Climate change, air pollution, socio‐economic factors, and urban lifestyle synergistically impact IAQ. Addressing these issues is essential for protecting public health, particularly in urban areas where pollution levels are typically high.
3. Relation to Health
3.1. Mechanisms to Affect Human Health
Air pollutants are known to cause various types of cell death (apoptosis, necrosis etc.), oxidative stress on cells and the endoplasmic reticulum, translation abnormalities and DNA repair machinery malfunctions, activation of inflammatory signaling pathways, and inflammatory cytokine release [117, 118]. Certain pollutants may cause DNA damage, including DNA single‐strand breaks (SSBs) and double‐strand breaks (DSBs), DNA adducts, as well as oxidative stress which can cause additional damage to proteins and lipids [119, 120, 121]. PM is thought to generate reactive oxygen species (ROS), which induce inflammation. Activated inflammatory cells may further amplify ROS generation and oxidative DNA damage [122, 123, 124]. Persistent DNA damage can compromise genome stability, increasing the risk of mutations and chromosomal abnormalities. This instability may contribute to the development of various health conditions, developmental defects and cancer, which are usually manifested with a delay of several years or even decades [125]. In addition, air pollution impairs the immune system's ability to regulate inflammation, subsequently leading to adverse health outcomes [126, 127]. Many pollutants, like SVOCs, in indoor air have been associated with effects on fertility and cardiovascular diseases [1, 51, 109, 128]. Several pathophysiological processes related to exposure to pollutants are summarized in Figure 7, which also shows that most health effects occur through multiple mechanisms. Research in this field continues to explore the specific ways indoor air pollutants affect human health, emphasizing the importance of reducing exposure [129].
FIGURE 7.

Summarization of the most important indoor exposures, mechanisms of the pathophysiological processes related to the exposure and the most significant health effects, emphasizing multi‐pollutant synergies and chronic low‐dose exposure. The complex interactions between exposure, mechanisms and health outcomes are crucial, and most health effects occur through multiple mechanisms. Some of the mechanisms are strongly linked to specific health outcomes as core mechanisms (lines) and other mechanisms are indirectly involved as contributing or susceptibility factors. †Activation of inflammatory signaling pathways (MAPK, NF‐κB, AP‐1), inflammatory cytokine release, migration of activated inflammatory cells. ‡Cellular distress includes oxidative stress, endoplasmic reticulum stress, translation abnormalities, DNA damage and repair machinery malfunctions. §Cell death includes apoptosis, necrosis, pyroptosis, autophagy, and ferroptosis. AP‐1, activator protein 1; CO, carbon monoxide; CO2, carbon dioxide; MAPK, mitogen‐activated protein kinase; NF‐κB, nuclear factor‐κB; NO2, nitrogen dioxide; O3, ozone; PAH, polycyclic aromatic hydrocarbon; PM, particulate matter; PM2.5, particulate matter with aerodynamic diameter less than or equal to 2.5 μm; SO2, sulfur dioxide; SVOC, semi‐volatile organic compound; VOC, volatile organic compound.
Methods such as the comet and micronucleus assays are valuable tools in human biomonitoring and measuring DNA and chromosomal damage [130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142]. The application of these assays in studies on indoor air pollution will increase understanding of the genotoxic effects of pollutants at a cellular level and, in turn, shed light on the potential onset of many diseases, including cancer [143, 144].
3.2. Poor Indoor Air Quality Is Linked to Respiratory Infections
Studies in the mid‐1980s suggested for the first time that the risk of pneumonia in children is associated with IAQ at home [145]. A growing number of studies have provided evidence of a strong association between indoor air pollution and the risk of respiratory infections. In 2020, a meta‐analysis showed that household air pollution increases the risk of acute respiratory infections in both children and adults (relative risk 1.5) [128]. It showed a beneficial impact of using markedly improved cookstoves compared to traditional stoves on the risk of acute respiratory infections. Recently, a meta‐analysis showed that early life exposure to residential mold and dampness indoors increases the risk of respiratory infections in children (odds ratios [OR] 1.3–1.8) [146]. Similar to the results reported by Groot et al. [146], repairing mold‐damaged houses and offices markedly decreased respiratory infections [147].
The school environment plays a crucial role in the spread of respiratory infections, but there are only a few studies on the associations between IAQ at schools and respiratory infections. Exposure to chemical indoor air pollutants, such as formaldehyde, ethylbenzene and para‐dichlorobenzene, may increase the risk of acute respiratory infections and flu‐like symptoms (OR 1.5–2.5) [148, 149]. Studies have also shown a positive trend between high relative humidity and respiratory infections requiring antibiotic treatment [150]. Studies on school building characteristics, such as water damage and signs of moisture damage and mold odor, have shown mixed results on the occurrence of respiratory infections [151, 152, 153, 154, 155]. However, there is weak evidence that repairing mold/dampness‐damaged schools decreases the number of pupils' visits to physicians due to respiratory infections [147]. The occurrence of respiratory infections and school absenteeism due to respiratory infections has also been associated with poor ventilation in indoor settings [156, 157].
3.3. Indoor Air Quality and Asthma and Allergy Symptoms
Asthma is a long‐term inflammatory disease of the lower airways associated with bronchial hyperreactivity. Rapid urbanization, antibiotic usage, pollution, and climate change promote the loss of biodiversity and the onset of chronic non‐communicable illnesses such as asthma and allergies [2, 105, 158, 159]. Traffic‐related air pollution (PM2.5, CO, O3, NO2, and SO2) impairs lung growth and function, and may promote the development of asthma and allergic diseases by several mechanisms, including oxidative stress, altered barrier integrity, and induction of inflammation [18, 20, 21, 160, 161, 162]. Exposure to VOCs is also associated with a higher risk of developing asthma in young children [42, 163]. The complex interplay between environmental exposures (e.g., animal, pollen, mold allergens, viruses, tobacco smoke and air pollution) and the host shapes the risk of asthma and allergic disease development [160, 164, 165].
Childhood asthma is often associated with other allergic diseases, such as atopic eczema and allergic rhinitis. Airway inflammation often starts in childhood, when environmental stimuli such as viral respiratory tract infections, exposure to parental smoking, and NO2 and other airborne pollutants or allergens activate airway epithelial cells to produce type 2 inflammatory cytokines including IL‐25, IL‐33, or thymic stromal lymphopoietin [166]. This initiates a cascade that leads to chronic airway inflammation and the development of childhood asthma. Epigenetics, such as DNA methylation, is one mechanism by which environmental factors can affect gene regulation and may explain the long‐term programming of disease from early life exposures and changes in disease status over time [167, 168, 169].
Respiratory viral infections (linked to poor IAQ and human density) are the most important triggers of asthma exacerbations in children [170]. Rhinovirus (RV) infections are the main triggers and susceptibility to their infections increases with damaged airway epithelium [171]. In addition to exposure, individual susceptibility such as atopy and risk genes plays a major role [172]. For example, RV triggered early wheezing episodes are closely linked with subsequent asthma (OR up to 45 depending on cofactors such as aeroallergen sensitization or expression of 17q21 asthma risk alleles) [173, 174, 175]. Respiratory syncytial virus (RSV) bronchiolitis is associated with later non‐atopic asthma [170]. Exposure to air pollutants, such as PM and NO2, may also increase the risk of pediatric hospitalization due to RSV infections [176]. Respiratory infections also spread easily within close contact [177].
Exposure to multiple pollutants, viruses and pollens have multi‐synergistic effects on health. For instance, ozone, CO2 and NO2 increase pollen concentrations, which all disrupt the epithelial barrier to make it more vulnerable to viral infections [178, 179, 180, 181, 182]. Improved air quality can reduce asthma and allergy development and asthma exacerbations by reducing pollutants damaging the airway epithelium, allergens promoting chronic airway inflammation and infectious agents triggering respiratory attacks, and increasing biodiversity in the air and surfaces to strengthen the immune system [2, 4, 183]. A better understanding of complex interactions between environmental factors and biological processes is crucial in developing new strategies for the prevention of asthma and allergic diseases.
3.4. Respiratory Health and Other Morbidity
The accumulation of PM and PAHs over time makes chronic exposure inevitable. Long‐term exposure to these pollutants is associated with an increased risk of cancer [184, 185], impaired lung function [186] and can lead to respiratory health outcomes such as asthma and chronic obstructive pulmonary disease (COPD) [117, 187]. Even healthy people exposed to elevated concentrations of PM and PAHs may develop respiratory symptoms [188]. Higher PAH levels also increase proinflammatory serum cytokines [188]. Studies indicate that short‐term PM exposure also increases respiratory problems, coughing and reduced lung function [45], enhancing the risk of hospital admissions due to asthma [189] and COPD [190] exacerbations. Especially PM2.5 is small enough to reach the alveoli [16, 18, 30, 191], where it may cause inflammation and oxidative stress, and consequently, worsen respiratory conditions and increase cardiovascular risks [19].
Exposures to VOCs have been found to increase wheezing, coughing, and reduce lung function [45, 192]. Children exposed to VOCs in daycares, schools, and homes are facing higher risks of asthma and other respiratory conditions [42]. Elderly individuals in long‐term care facilities have been found to experience worsened respiratory conditions when exposed to high VOC levels [193]. For individuals with asthma, exposure to specific VOCs, such as aromatic and aliphatic compounds, worsens symptoms [45]. Exposure to limonene, a common fragrance, was shown to increase the risk of new‐onset asthma [45]. Moreover, poor IAQ is linked to cardiovascular diseases, cancer, cognitive and fertility problems, and reduced life expectancy [51, 53, 109, 111, 128].
3.5. Indoor Air Quality Affects Cognitive Function and Developing Brains
Elevated CO2 concentrations (> 1000 ppm) can cause symptoms such as headaches, dizziness, fatigue, and impaired cognitive function [22]. Prolonged exposure to very high concentrations (> 5000 ppm) may lead to more severe effects, including shortness of breath and increased heart rate [23]. CO binds to hemoglobin and impairs oxygen delivery, causing headaches, dizziness, and even coma or death [16, 19, 20, 21, 194]. Chronic exposure, even at low levels, also increases cardiovascular risks and hospitalizations, particularly in the elderly [16].
IAQ has been increasingly linked to cognitive and behavioral development outcomes, particularly in children, who are more vulnerable to environmental factors due to their developing brains. Poor IAQ, characterized by high levels of pollutants such as, PM, VOCs, SVOCs, CO2 and NO2, is associated with lower cognitive performance, reduced memory, shorter attention span, and slower cognitive processing, particularly in children [195, 196]. Chronic exposure to indoor air pollutants may affect language development and intelligence quotient scores [197].
Pollutants like ultrafine particles can cross the blood–brain barrier, leading to neuroinflammation and oxidative stress, which are implicated in neurodevelopmental delays and disorders in children [198]. Poor IAQ is also connected to behavioral issues such as attention‐deficit/hyperactivity disorder (ADHD), anxiety, and social interaction problems [199]. Prenatal and early life exposure to higher levels of indoor air pollutants may predispose children to behavioral disturbances, including impulsivity and emotional dysregulation [200].
Adequate ventilation plays a crucial role in improving IAQ, which in turn can mitigate some of these adverse cognitive and behavioral developmental effects. Improved ventilation, air filtration systems, and reducing sources of indoor air pollutants (like tobacco smoke and chemical cleaners) are essential interventions and can be regulated with healthy public policy‐making. Maintaining high IAQ is vital for supporting healthy cognitive and behavioral development, especially in young children, where environmental exposure can have long‐term consequences.
4. Summary and Gaps for Further Research
Several studies have shown an association between poor IAQ and physical, mental as well as immunological health problems. PMs, PAHs, CO, NO2, and O3 from transportation, industry, smoking and indoor heating stoves significantly worsen IAQ and cause inflammation, oxidative stress, cardiovascular and cognitive problems, cancer and exacerbate asthma and COPD [14, 18, 19, 20, 160]. Indoor VOCs and SVOCs from furniture, flooring, paints, adhesives, cleaning products and other chemicals pose risks for respiratory, cognitive and reproductive health [44]. Bioaerosols of bacteria, viruses and molds shape immune system development [61]. While pathogenic microorganisms cause infections and exacerbate allergies, non‐pathogenic microorganisms act as benign stimuli and enhance resilience [98, 99, 100, 101, 102, 103, 104]. Poor IAQ can negatively affect health in general and increase absenteeism [60, 68, 77, 90, 195, 196]. Even at “acceptable” levels, chronic low‐dose exposure to indoor air pollutants may impair epithelial integrity, microbiota balance, inflammatory regulation, and long‐term human health.
The IDEAL cluster identified several gaps for future research:
Complex interactions between environmental factors and dynamic biological processes are not sufficiently understood, requiring further mechanistic and multi‐disciplinary research.
Robust data for toxicity and exposure‐response relationships, in particular for long‐term health effects are missing.
Standardization of IAQ measurements is vital, both for comparability across primary studies and for implementation of IAQ guidelines.
Assays detecting DNA damage and genome instability caused by indoor air pollutants will be useful for detecting genotoxic effects on a cellular level.
Tailoring IAQ, by air purifiers, green walls or other biomaterials, to strengthen the immune system, needs more research.
A better overview of the actual hazardous chemical and biological determinants in indoor environments is needed.
Understanding multi‐pollutant synergies is crucial for improving IAQ, as combined pollutant effects can be more harmful than individual exposures and require integrated mitigation strategies.
The data on the effects and mechanisms of IAQ on health is limited and this was the reason for launching the IDEAL cluster projects, which aim to promote knowledge of all the aforementioned gaps. IAQ is a matter of public concern. Effective prevention and management of indoor air exposure involve source control, ventilation, and regular monitoring of pollutant levels. Strategies like improved ventilation, air purification, low‐emission materials, and public education are essential for protecting public health and need to be based on scientific research. Recent advances in analytical technologies and data processing, and the increasing prevalence of large cohort studies offer promising tools for addressing these complex questions. Public awareness is crucial in reducing pollutant concentrations linked to everyday products and activities and improving legislation.
Author Contributions
Study conception and design: All authors. Critical revision of the manuscript: All authors.
Funding
This work was supported by Next Generation EU; European Regional Development Fund; Croatian Science Foundation; UK Research and Innovation; National Health and Medical Research Council; UK Research and Innovation; State Secretariat for Education, Research and Innovation; Horizon Europe.
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgments
The project was funded by the Horizon Europe project SynAir‐G, grant agreement ID: 101057271. This work was co‐funded by the Horizon Europe INQUIRE project (grant agreement number 101057499) and by the UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee (grant number 10042425). This work is part of the TwinAIR project, funded by the EU’s Horizon Europe program (grant agreement number 101057779). InChildHealth is receiving funding from the European Union's Horizon Europe research under grant agreement 101056883, from the State Secretariat for Education, Research and Innovation (SERI grant agreement 22.00324), from the UK Research and Innovation (UKRI grant agreement 10040524), and from the Australian National Health and Medical Research Council (NHMRC grant agreements APP2017786 and APP2008813). This work has received financial support from the K‐HEALTHinAIR project, grant agreement number 101057693, under a European Union's Call on Environment and Health (HORIZON‐HLTH‐2021‐ENVHLTH‐02). This work was supported by the affiliated institutions, European Regional Development Fund project KK.01.1.1.02.0007 (Rec‐IMI), the Croatian Science Foundation (HUMNap project #1192), the Horizon Europe (EDIAQI project #101057497), Next Generation EU 533‐03‐23‐0006 (BioMolTox). The authors wish to acknowledge Tanzeela Hanif for their expertise concerning the graphic design of this manuscript. Open access publishing facilitated by Turun yliopisto, as part of the Wiley ‐ FinELib agreement.
The IDEAL Consortium (idealcluster.eu): EDIAQI: Evidence Driven Indoor Air Quality Improvement (ediaqi.eu); InChildHealth: Improving indoor air quality to bring about a healthier future for our children (inchildhealth.eu); INQUIRE: Improving indoor air quality for a healthier home and Europe (inquire‐he.eu); K‐HEALTHinAIR: Knowledge for improving indoor air quality and health (k‐healthinair.eu); LEARN: Controlling and evaluating indoor air quality at schools and its impact on children's health (learnproject‐heu.eu); SynAir‐G: Disrupting Noxious Synergies of Indoor Air Pollutants and their Impact in Childhood Health and Wellbeing, using Advanced Intelligent Multisensing and Green Interventions (synair.eu); TwinAIR: Digital Twins Enabled Indoor Air Quality Management for Healthy Living (twinair‐project.eu).
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1. Jenkins P. L., Phillips T. J., Mulberg E. J., and Hui S. P., “Activity Patterns of Californians: Use of and Proximity to Indoor Pollutant Sources,” Atmospheric Environment Part A General Topics 26, no. 12 (1992): 2141–2148. [Google Scholar]
- 2. Haahtela T., “A Biodiversity Hypothesis,” Allergy 74, no. 8 (2019): 1445–1456. [DOI] [PubMed] [Google Scholar]
- 3. Moya J., Bearer C. F., and Etzel R. A., “Children's Behavior and Physiology and How It Affects Exposure to Environmental Contaminants,” Pediatrics 113, no. Supplement_3 (2004): 996–1006. [PubMed] [Google Scholar]
- 4. Brunekreef B. and Holgate S. T., “Air Pollution and Health,” Lancet 360, no. 9341 (2002): 1233–1242. [DOI] [PubMed] [Google Scholar]
- 5. Van T. V., Park D., and Lee Y. C., “Indoor Air Pollution, Related Human Diseases, and Recent Trends in the Control and Improvement of Indoor Air Quality,” International Journal of Environmental Research and Public Health 17, no. 8 (2020): 2927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Samet J., Holguin F., and Buran M., “The Health Effects of Indoor Air Pollution,” in Handbook of Indoor Air Quality, ed. Zhang Y., Hopke P. K., and Mandin C. (Springer Nature Singapore, 2022), 1141–1187. [Google Scholar]
- 7. Wang Z., Walker G. W., Muir D. C. G., and Nagatani‐Yoshida K., “Toward a Global Understanding of Chemical Pollution: A First Comprehensive Analysis of National and Regional Chemical Inventories,” Environmental Science & Technology 54, no. 5 (2020): 2575–2584. [DOI] [PubMed] [Google Scholar]
- 8. Sonne C., Xia C., Dadvand P., Targino A. C., and Lam S. S., “Indoor Volatile and Semi‐Volatile Organic Toxic Compounds: Need for Global Action,” Journal of Building Engineering 62 (2022): 105344. [Google Scholar]
- 9. EEA , “Air Pollution,” (2024), https://www.eea.europa.eu/en/topics/in‐depth/air‐pollution.
- 10. EEA , “Harm to Human Health From Air Pollution in Europe: Burden of Disease 2023,” (2023), https://www.eea.europa.eu/publications/harm‐to‐human‐health‐from‐air‐pollution.
- 11. Delft C. E., Health Costs of Air Pollution in European Cities and the Linkage With Transport (Publication Code 20.190272.134) (CE Delft, 2020). [Google Scholar]
- 12. Liu W. Y., Jiesisibieke Z. L., and Tung T. H., “Effect of Asthma Education on Health Outcomes in Children: A Systematic Review,” Archives of Disease in Childhood 107, no. 12 (2022): 1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Arif A. A. and Shah S. M., “Association Between Personal Exposure to Volatile Organic Compounds and Asthma Among US Adult Population,” International Archives of Occupational and Environmental Health 80, no. 8 (2007): 711–719. [DOI] [PubMed] [Google Scholar]
- 14. World Health Organization Regional Office for Europe , WHO Guidelines for Indoor Air Quality: Selected Pollutants (WHO, 2010). [PubMed] [Google Scholar]
- 15. Sugeng E. J., de Cock M., Leonards P. E. G., and van de Bor M., “Toddler Behavior, the Home Environment, and Flame Retardant Exposure,” Chemosphere 252 (2020): 126588. [DOI] [PubMed] [Google Scholar]
- 16. Vardoulakis S., Giagloglou E., Steinle S., et al., “Indoor Exposure to Selected Air Pollutants in the Home Environment: A Systematic Review,” International Journal of Environmental Research and Public Health 17, no. 23 (2020): 8972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Goshua A., Akdis C. A., and Nadeau K. C., “World Health Organization Global Air Quality Guideline Recommendations: Executive Summary,” Allergy 77, no. 7 (2022): 1955–1960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Kumar P., Singh A. B., Arora T., Singh S., and Singh R., “Critical Review on Emerging Health Effects Associated With the Indoor Air Quality and Its Sustainable Management,” Science of the Total Environment 872 (2023): 162163. [DOI] [PubMed] [Google Scholar]
- 19. Manisalidis I., Stavropoulou E., Stavropoulos A., and Bezirtzoglou E., “Environmental and Health Impacts of Air Pollution: A Review,” Frontiers in Public Health 8 (2020): 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Bernstein J. A., Alexis N., Bacchus H., et al., “The Health Effects of Nonindustrial Indoor Air Pollution,” Journal of Allergy and Clinical Immunology 121, no. 3 (2008): 585–591. [DOI] [PubMed] [Google Scholar]
- 21. Jones A. P., “Indoor Air Quality and Health,” Atmospheric Environment 33, no. 28 (1999): 4535–4564. [Google Scholar]
- 22. Usha S., Mendell M. J., Krishnamurthy S., et al., “Is CO2 an Indoor Pollutant? Direct Effects of Low‐To‐Moderate CO2 Concentrations on Human Decision‐Making Performance,” Environmental Health Perspectives 120, no. 12 (2012): 1671–1677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Fan Y., Cao X., Zhang J., Lai D., and Pang L., “Short‐Term Exposure to Indoor Carbon Dioxide and Cognitive Task Performance: A Systematic Review and Meta‐Analysis,” Building and Environment 237 (2023): 110331. [Google Scholar]
- 24. Huang Y., Yang Z., and Gao Z., “Contributions of Indoor and Outdoor Sources to Ozone in Residential Buildings in Nanjing,” International Journal of Environmental Research and Public Health 16, no. 14 (2019): 2587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. WHO , WHO Global Air Quality Guidelines: Particulate Matter (PM2.5 and PM10), Ozone, Nitrogen Dioxide, Sulfur Dioxide and Carbon Monoxide (WHO, 2021), https://www.who.int/publications/i/item/9789240034228. [PubMed] [Google Scholar]
- 26. Alves C., Nunes T., Silva J., and Duarte M., “Comfort Parameters and Particulate Matter (PM10 and PM2.5) in School Classrooms and Outdoor Air,” Aerosol and Air Quality Research 13, no. 5 (2013): 1521–1535. [Google Scholar]
- 27. Badyda A., Muszyński A., Affek K., et al., “Schools and Indoor Air Quality: Seasonal Variation,” European Journal of Public Health 34, no. Supplement_3 (2024): 797. [Google Scholar]
- 28. Dovrou E., Kaltsonoudis C., Androulakis S., Apostolopoulos I., Simonati A., and Pandis S. N., “Evaluation of Air Quality in a Primary School Classroom During Wintertime,” Indoor Air 2024, no. 1 (2024): 7888273. [Google Scholar]
- 29. Amato F., Rivas I., Viana M., et al., “Sources of Indoor and Outdoor PM2.5 Concentrations in Primary Schools,” Science of the Total Environment 490 (2014): 757–765. [DOI] [PubMed] [Google Scholar]
- 30. Li Z., Wen Q., and Zhang R., “Sources, Health Effects and Control Strategies of Indoor Fine Particulate Matter (PM2.5): A Review,” Science of the Total Environment 586 (2017): 610–622. [DOI] [PubMed] [Google Scholar]
- 31. Madureira J., Mendes A., and Teixeira J. P., “Evaluation of a Smoke‐Free Law on Indoor Air Quality and on Workers' Health in Portuguese Restaurants,” Journal of Occupational and Environmental Hygiene 11, no. 4 (2014): 201–209. [DOI] [PubMed] [Google Scholar]
- 32. Wang M., Jia S., Lee S. H., Chow A., and Fang M., “Polycyclic Aromatic Hydrocarbons (PAHs) in Indoor Environments Are Still Imposing Carcinogenic Risk,” Journal of Hazardous Materials 409 (2021): 124531. [DOI] [PubMed] [Google Scholar]
- 33. Fappiano L., Caracci E., Iannone A., et al., “Emission Rates of Particle‐Bound Heavy Metals and Polycyclic Aromatic Hydrocarbons in PM Fractions From Indoor Combustion Sources,” Building and Environment 265 (2024): 112033. [Google Scholar]
- 34. Rosales C. M. F., Jung J., and Cayetano M. G., “Emissions and Chemical Components of PM2.5 From Simulated Cooking Conditions Using Traditional Cookstoves and Fuels Under a Dilution Tunnel System,” Aerosol and Air Quality Research 21, no. 7 (2021): 200581. [Google Scholar]
- 35. Drago G., Perrino C., Canepari S., et al., “Relationship Between Domestic Smoking and Metals and Rare Earth Elements Concentration in Indoor PM2.5 ,” Environmental Research 165 (2018): 71–80. [DOI] [PubMed] [Google Scholar]
- 36. Rasmussen P. E., Levesque C., Chénier M., and Gardner H. D., “Contribution of Metals in Resuspended Dust to Indoor and Personal Inhalation Exposures: Relationships Between PM10 and Settled Dust,” Building and Environment 143 (2018): 513–522. [Google Scholar]
- 37. Guo H., Li M., Lyu Y., Cheng T., Xv J., and Li X., “Size‐Resolved Particle Oxidative Potential in the Office, Laboratory, and Home: Evidence for the Importance of Water‐Soluble Transition Metals,” Environmental Pollution 246 (2019): 704–709. [DOI] [PubMed] [Google Scholar]
- 38. Wierzbicka A., Omelekhina Y., Saber A. T., et al., “Indoor PM2.5 From Occupied Residences in Sweden Caused Higher Inflammation in Mice Compared to Outdoor PM2.5 ,” Indoor Air 32, no. 12 (2022): e13177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Borowska S. and Brzóska M. M., “Metals in Cosmetics: Implications for Human Health,” Journal of Applied Toxicology 35, no. 6 (2015): 551–572. [DOI] [PubMed] [Google Scholar]
- 40. Meng Y., Li Y., Zheng N., et al., “Potential Health Risks of Metals in Skin Care Products Used by Chinese Consumers Aged 19–29 Years,” Ecotoxicology and Environmental Safety 216 (2021): 112184. [DOI] [PubMed] [Google Scholar]
- 41. Ardicli S., Ardicli O., Yazici D., et al., “Epithelial Barrier Dysfunction and Associated Diseases in Companion Animals: Differences and Similarities Between Humans and Animals and Research Needs,” Allergy 79, no. 12 (2024): 3238–3268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Liu N., Bu Z., Liu W., et al., “Health Effects of Exposure to Indoor Volatile Organic Compounds From 1980 to 2017: A Systematic Review and Meta‐Analysis,” Indoor Air 32, no. 5 (2022): e13038. [DOI] [PubMed] [Google Scholar]
- 43. Alford K. L. and Kumar N., “Pulmonary Health Effects of Indoor Volatile Organic Compounds – A Meta‐Analysis,” International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. EU‐LCU Subgroup , “EU‐LCI Values Summary Fact Sheets, Available Online: Documents and Glossary – European Commission (europa.eu),” (2023).
- 45. Paterson C. A., Sharpe R. A., Taylor T., and Morrissey K., “Indoor PM2.5, VOCs and Asthma Outcomes: A Systematic Review in Adults and Their Home Environments,” Environmental Research 202 (2021): 111631. [DOI] [PubMed] [Google Scholar]
- 46. Abbatt J. P. D. and Wang C., “The Atmospheric Chemistry of Indoor Environments,” Environmental Science: Processes & Impacts 22, no. 1 (2020): 25–48. [DOI] [PubMed] [Google Scholar]
- 47. Rostkowski P., Haglund P., Aalizadeh R., et al., “The Strength in Numbers: Comprehensive Characterization of House Dust Using Complementary Mass Spectrometric Techniques,” Analytical and Bioanalytical Chemistry 411, no. 10 (2019): 1957–1977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Lucattini L., Poma G., Covaci A., de Boer J., Lamoree M. H., and Leonards P. E. G., “A Review of Semi‐Volatile Organic Compounds (SVOCs) in the Indoor Environment: Occurrence in Consumer Products, Indoor Air and Dust,” Chemosphere 201 (2018): 466–482. [DOI] [PubMed] [Google Scholar]
- 49. Eichler C. M. A. and Little J. C., “A Framework to Model Exposure to Per‐ and Polyfluoroalkyl Substances in Indoor Environments,” Environmental Science: Processes & Impacts 22, no. 3 (2020): 500–511. [DOI] [PubMed] [Google Scholar]
- 50. Andersen H. V., Kolarik B., Nielsen N. S., et al., “Indoor Air Concentrations of PCB in a Contaminated Building Estate and Factors of Importance for the Variance,” Building and Environment 204 (2021): 108135. [Google Scholar]
- 51. Meeker J. D. and Stapleton H. M., “House Dust Concentrations of Organophosphate Flame Retardants in Relation to Hormone Levels and Semen Quality Parameters,” Environmental Health Perspectives 118, no. 3 (2010): 318–323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Mendy A., Percy Z., Braun J. M., et al., “Exposure to Dust Organophosphate and Replacement Brominated Flame Retardants During Infancy and Risk of Subsequent Adverse Respiratory Outcomes,” Environmental Research 235 (2023): 116560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Lan Q., He X., Shen M., et al., “Variation in Lung Cancer Risk by Smoky Coal Subtype in Xuanwei, China,” International Journal of Cancer 123, no. 9 (2008): 2164–2169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Navaranjan G., Diamond M. L., Harris S. A., et al., “Early Life Exposure to Phthalates and the Development of Childhood Asthma Among Canadian Children,” Environmental Research 197 (2021): 110981. [DOI] [PubMed] [Google Scholar]
- 55. Liu M., Jia S., Dong T., et al., “The Occurrence of Bisphenol Plasticizers in Paired Dust and Urine Samples and Its Association With Oxidative Stress,” Chemosphere 216 (2019): 472–478. [DOI] [PubMed] [Google Scholar]
- 56. Zhu L., Hajeb P., Fauser P., and Vorkamp K., “Endocrine Disrupting Chemicals in Indoor Dust: A Review of Temporal and Spatial Trends, and Human Exposure,” Science of the Total Environment 874 (2023): 162374. [DOI] [PubMed] [Google Scholar]
- 57. Tastassa A. C., Sharaby Y., and Lang‐Yona N., “Aeromicrobiology: A Global Review of the Cycling and Relationships of Bioaerosols With the Atmosphere,” Science of the Total Environment 912 (2024): 168478. [DOI] [PubMed] [Google Scholar]
- 58. Poh T. Y., Ali N. A. B. M., Mac Aogáin M., et al., “Inhaled Nanomaterials and the Respiratory Microbiome: Clinical, Immunological and Toxicological Perspectives,” Particle and Fibre Toxicology 15, no. 1 (2018): 46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Bin J. S., Ko H. S., Heo K. J., Shin J. H., and Jung J. H., “Size Distribution and Concentration of Indoor Culturable Bacterial and Fungal Bioaerosols,” Atmospheric Environment: X 15 (2022): 100182. [Google Scholar]
- 60. Brągoszewska E. and Mainka A., “Assessment of Personal Deposited Dose and Particle Size Distribution of Bacterial Aerosol in Kindergarten Located in Southern Poland,” Environmental Pollution 343 (2024): 123208. [DOI] [PubMed] [Google Scholar]
- 61. Rook G. A. W., “The Old Friends Hypothesis: Evolution, Immunoregulation and Essential Microbial Inputs,” Frontiers in Allergy 4 (2023): 1220481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Lappan R., Thakar J., Molares Moncayo L., et al., “The Atmosphere: A Transport Medium or an Active Microbial Ecosystem?,” ISME Journal 18, no. 1 (2024): wrae092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Smets W., Moretti S., Denys S., and Lebeer S., “Airborne Bacteria in the Atmosphere: Presence, Purpose, and Potential,” Atmospheric Environment 139 (2016): 214–221. [Google Scholar]
- 64. Tignat‐Perrier R., Dommergue A., Thollot A., Magand O., Vogel T. M., and Larose C., “Microbial Functional Signature in the Atmospheric Boundary Layer,” Biogeosciences 17, no. 23 (2020): 6081–6095. [Google Scholar]
- 65. Rodó X., Pozdniakova S., Borràs S., et al., “Microbial Richness and Air Chemistry in Aerosols Above the PBL Confirm 2,000‐Km Long‐Distance Transport of Potential Human Pathogens,” National Academy of Sciences of the United States of America 121, no. 38 (2024): e2404191121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Carrazana E., Ruiz‐Gil T., Fujiyoshi S., et al., “Potential Airborne Human Pathogens: A Relevant Inhabitant in Built Environments but Not Considered in Indoor Air Quality Standards,” Science of the Total Environment 901 (2023): 165879. [DOI] [PubMed] [Google Scholar]
- 67. Li T., Feng K., Wang S., et al., “Beyond Water and Soil: Air Emerges as a Major Reservoir of Human Pathogens,” Environment International 190 (2024): 108869. [DOI] [PubMed] [Google Scholar]
- 68. Chawla H., Anand P., Garg K., et al., “A Comprehensive Review of Microbial Contamination in the Indoor Environment: Sources, Sampling, Health Risks, and Mitigation Strategies,” Frontiers in Public Health 11 (2023): 1285393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Fakunle A. G., Jafta N., Bossers A., et al., “Childhood Lower Respiratory Tract Infections Linked to Residential Airborne Bacterial and Fungal Microbiota,” Environmental Research 231 (2023): 116063. [DOI] [PubMed] [Google Scholar]
- 70. Hassan A., Zeeshan M., and Bhatti M. F., “Indoor and Outdoor Microbiological Air Quality in Naturally and Mechanically Ventilated University Libraries,” Atmospheric Pollution Research 12, no. 8 (2021): 101136. [Google Scholar]
- 71. Isa K. N. M., Jalaludin J., Elias S. M., et al., “Metagenomic Characterization of Indoor Dust Fungal Associated With Allergy and Lung Inflammation Among School Children,” Ecotoxicology and Environmental Safety 221 (2021): 112430. [DOI] [PubMed] [Google Scholar]
- 72. Sharpe R. A., Bearman N., Thornton C. R., Husk K., and Osborne N. J., “Indoor Fungal Diversity and Asthma: A Meta‐Analysis and Systematic Review of Risk Factors,” Journal of Allergy and Clinical Immunology 135, no. 1 (2015): 110–122. [DOI] [PubMed] [Google Scholar]
- 73. Shamji M. H., Valenta R., Jardetzky T., et al., “The Role of Allergen‐Specific IgE, IgG and IgA in Allergic Disease,” Allergy 76, no. 12 (2021): 3627–3641. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Jabeen R., Kizhisseri M. I., Mayanaik S. N., and Mohamed M. M., “Bioaerosol Assessment in Indoor and Outdoor Environments: A Case Study From India,” Scientific Reports 13, no. 1 (2023): 18066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Shin S. K., Kim J., Ha S., et al., “Metagenomic Insights Into the Bioaerosols in the Indoor and Outdoor Environments of Childcare Facilities,” PLoS One 10, no. 5 (2015): e0126960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Rejc T., Kukec A., Bizjak M., and GodičTorkar K., “Microbiological and Chemical Quality of Indoor Air in Kindergartens in Slovenia,” International Journal of Environmental Health Research 30, no. 1 (2020): 49–62. [DOI] [PubMed] [Google Scholar]
- 77. Vornanen‐Winqvist C., Järvi K., Andersson M. A., et al., “Exposure to Indoor Air Contaminants in School Buildings With and Without Reported Indoor Air Quality Problems,” Environment International 141 (2020): 105781. [DOI] [PubMed] [Google Scholar]
- 78. van Rhijn N., Arikan‐Akdagli S., Beardsley J., et al., “Beyond Bacteria: The Growing Threat of Antifungal Resistance,” Lancet 404, no. 10457 (2024): 1017–1018. [DOI] [PubMed] [Google Scholar]
- 79. Ye J., Qian H., Zhang J., et al., “Concentrations and Size‐Resolved I/O Ratios of Household Airborne Bacteria and Fungi in Nanjing, Southeast China,” Science of the Total Environment 774 (2021): 145559. [Google Scholar]
- 80. Sadrizadeh S., Yao R., Yuan F., et al., “Indoor Air Quality and Health in Schools: A Critical Review for Developing the Roadmap for the Future School Environment,” Journal of Building Engineering 57 (2022): 104908. [Google Scholar]
- 81. Yli‐Panula E., “Allergenicity of Grass Pollen in Settled Dust in Rural and Urban Homes in Finland,” Grana 36, no. 5 (1997): 306–310. [Google Scholar]
- 82. Sauliene I., Valiulis A., Keriene I., et al., “Airborne Pollen and Fungi Indoors: Evidence From Primary Schools in Lithuania,” Heliyon 9, no. 1 (2023): e12668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Wang W., Kikumoto H., Lin C., Oh W., Han M., and Ooka R., “Relationship Between Natural Ventilation Modes and Indoor/Outdoor Ratio of Japanese Cedar Pollen and Cry j 1 Allergen,” Building and Environment 265 (2024): 111961. [Google Scholar]
- 84. Jantunen J. and Saarinen K., “Intrusion of Airborne Pollen Through Open Windows and Doors,” Aerobiologia (Bologna) 25, no. 3 (2009): 193–201. [Google Scholar]
- 85. Jantunen J. and Saarinen K., “Pollen Transport by Clothes,” Aerobiologia (Bologna) 27, no. 4 (2011): 339–343. [Google Scholar]
- 86. Tringe S. G., Zhang T., Liu X., et al., “The Airborne Metagenome in an Indoor Urban Environment,” PLoS One 3, no. 4 (2008): e1862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Madsen A. M., Moslehi‐Jenabian S., Frankel M., White J. K., and Frederiksen M. W., “Airborne Bacterial Species in Indoor Air and Association With Physical Factors,” UCL Open Environ 5, no. 1 (2023): e056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Atalay Y. A., Mengistie E., Tolcha A., et al., “Indoor Air Bacterial Load and Antibiotic Susceptibility Pattern of Isolates at Adare General Hospital in Hawassa, Ethiopia,” Frontiers in Public Health 11 (2023): 1194850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Guo K., Qian H., Zhao D., et al., “Indoor Exposure Levels of Bacteria and Fungi in Residences, Schools, and Offices in China: A Systematic Review,” Indoor Air 30, no. 6 (2020): 1147–1165. [DOI] [PubMed] [Google Scholar]
- 90. Wargocki P., Porras‐Salazar J. A., Contreras‐Espinoza S., and Bahnfleth W., “The Relationships Between Classroom Air Quality and Children's Performance in School,” Building and Environment 173 (2020): 106749. [Google Scholar]
- 91. Ciric L., “Microbes in the Built Environment,” Scientific Reports 12, no. 1 (2022): 8732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Kembel S. W., Meadow J. F., O'Connor T. K., et al., “Architectural Design Drives the Biogeography of Indoor Bacterial Communities,” PLoS One 9, no. 1 (2014): e87093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Toyoda A., Shibata Y., Matsuo Y., et al., “Diversity and Compositional Differences of the Airborne Microbiome in a Biophilic Indoor Environment,” Scientific Reports 13, no. 1 (2023): 8179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Rai S., Singh D. K., and Kumar A., “Microbial, Environmental and Anthropogenic Factors Influencing the Indoor Microbiome of the Built Environment,” Journal of Basic Microbiology 61, no. 4 (2021): 267–292. [DOI] [PubMed] [Google Scholar]
- 95. Tang S., Mao Y., Jones R. M., et al., “Aerosol Transmission of SARS‐CoV‐2? Evidence, Prevention and Control,” Environment International 144 (2020): 106039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Piscitelli P., Miani A., Setti L., et al., “The Role of Outdoor and Indoor Air Quality in the Spread of SARS‐CoV‐2: Overview and Recommendations by the Research Group on COVID‐19 and Particulate Matter (RESCOP Commission),” Environmental Research 211 (2022): 113038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. National Academies of Sciences, Engineering, and Medicine , Microbiomes of the Built Environment: A Research Agenda for Indoor Microbiology, Human Health, and Buildings (National Academies Press, 2017). [PubMed] [Google Scholar]
- 98. Robinson J. M. and Breed M. F., “The Aerobiome‐Health Axis: A Paradigm Shift in Bioaerosol Thinking,” Trends in Microbiology 31, no. 7 (2023): 661–664. [DOI] [PubMed] [Google Scholar]
- 99. Gilbert J. A. and Hartmann E. M., “The Indoors Microbiome and Human Health,” Nature Reviews. Microbiology 22, no. 12 (2024): 742–755. [DOI] [PubMed] [Google Scholar]
- 100. Rook G. A. W., Adams V., Hunt J., Palmer R., Martinelli R., and Brunet L. R., “Mycobacteria and Other Environmental Organisms as Immunomodulators for Immunoregulatory Disorders,” Springer Seminars in Immunopathology 25, no. 3 (2004): 237–255. [DOI] [PubMed] [Google Scholar]
- 101. Rook G. A. W., Lowry C. A., and Raison C. L., “Microbial ‘Old Friends’, Immunoregulation and Stress Resilience,” Evol Med Public Health 2013, no. 1 (2013): 46–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. von Hertzen L., Hanski I., and Haahtela T., “Natural Immunity,” EMBO Reports 12, no. 11 (2011): 1089–1093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103. Saarenpää M., Roslund M. I., Nurminen N., et al., “Urban Indoor Gardening Enhances Immune Regulation and Diversifies Skin Microbiota – A Placebo‐Controlled Double‐Blinded Intervention Study,” Environment International 187 (2024): 108705. [DOI] [PubMed] [Google Scholar]
- 104. Hanski I., von Hertzen L., Fyhrquist N., et al., “Environmental Biodiversity, Human Microbiota, and Allergy Are Interrelated,” National Academy of Sciences of the United States of America 109, no. 21 (2012): 8334–8339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Akdis C. A., “Does the Epithelial Barrier Hypothesis Explain the Increase in Allergy, Autoimmunity and Other Chronic Conditions?,” Nature Reviews. Immunology 21, no. 11 (2021): 739–751. [DOI] [PubMed] [Google Scholar]
- 106. Rakoff‐Nahoum S., Paglino J., Eslami‐Varzaneh F., Edberg S., and Medzhitov R., “Recognition of Commensal Microflora by Toll‐Like Receptors Is Required for Intestinal Homeostasis,” Cell 118, no. 2 (2004): 229–241. [DOI] [PubMed] [Google Scholar]
- 107. Taylor R. C., Richmond P., and Upham J. W., “Toll‐Like Receptor 2 Ligands Inhibit TH2 Responses to Mite Allergen,” Journal of Allergy and Clinical Immunology 117, no. 5 (2006): 1148–1154. [DOI] [PubMed] [Google Scholar]
- 108. Ege M. J., Bieli C., Frei R., et al., “Prenatal Farm Exposure Is Related to the Expression of Receptors of the Innate Immunity and to Atopic Sensitization in School‐Age Children,” Journal of Allergy and Clinical Immunology 117, no. 4 (2006): 817–823. [DOI] [PubMed] [Google Scholar]
- 109. US EPA: Report on the Environment , “Indoor Air Quality; What Are the Trends in Indoor Air Quality and Their Effects on Human Health?” https://www.epa.gov/report‐environment/indoor‐air‐quality#note1.
- 110. Liang Y., Sengupta D., Campmier M. J., Lunderberg D. M., Apte J. S., and Goldstein A. H., “Wildfire Smoke Impacts on Indoor Air Quality Assessed Using Crowdsourced Data in California,” National Academy of Sciences of the United States of America 118, no. 36 (2021): e2106478118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Shrestha P. M., Humphrey J. L., Carlton E. J., et al., “Impact of Outdoor Air Pollution on Indoor Air Quality in Low‐Income Homes During Wildfire Seasons,” International Journal of Environmental Research and Public Health 16, no. 19 (2019): 3535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Baeza‐Romero M. T., Dudzinska M. R., Amouei Torkmahalleh M., et al., “A Review of Critical Residential Buildings Parameters and Activities When Investigating Indoor Air Quality and Pollutants,” Indoor Air 32, no. 11 (2022): e13144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Wang S., Gao C. X., Ye J., Zheng X., and Qian H., “Indoor‐Outdoor Microbial Exchange: Quantifying the Contribution of Outdoor Sources to Indoor Microbiota Across Seasons,” Journal of Building Engineering 92 (2024): 109806. [Google Scholar]
- 114. Wang S., Qian H., Sun Z., Cao G., Ding P., and Zheng X., “Comparison of Airborne Bacteria and Fungi in Different Built Environments in Selected Cities in Five Climate Zones of China,” Science of the Total Environment 860 (2023): 160445. [DOI] [PubMed] [Google Scholar]
- 115. Li Y., Ge Y., Wu C., Guan D., Liu J., and Wang F., “Assessment of Culturable Airborne Bacteria of Indoor Environments in Classrooms, Dormitories and Dining Hall at University: A Case Study in China,” Aerobiologia (Bologna) 36, no. 3 (2020): 313–324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Chegini F. M., Baghani A. N., Hassanvand M. S., et al., “Indoor and Outdoor Airborne Bacterial and Fungal Air Quality in Kindergartens: Seasonal Distribution, Genera, Levels, and Factors Influencing Their Concentration,” Building and Environment 175 (2020): 106690. [Google Scholar]
- 117. Kazensky L., Matković K., Gerić M., Žegura B., Pehnec G., and Gajski G., “Impact of Indoor Air Pollution on DNA Damage and Chromosome Stability: A Systematic Review,” Archives of Toxicology 98, no. 9 (2024): 2817–2841. [DOI] [PubMed] [Google Scholar]
- 118. Wāng Y., “Ambient Fine Particulate Matter Provokes Multiple Modalities of Cell Death via Perturbation of Subcellular Structures,” Environment International 195 (2025): 109193. [DOI] [PubMed] [Google Scholar]
- 119. Pizzino G., Irrera N., Cucinotta M., et al., “Oxidative Stress: Harms and Benefits for Human Health,” Oxidative Medicine and Cellular Longevity 2017, no. 1 (2017): 8416763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Juan C. A., de la Lastra J. M., Plou F. J., and Pérez‐Lebeña E., “The Chemistry of Reactive Oxygen Species (ROS) Revisited: Outlining Their Role in Biological Macromolecules (DNA, Lipids and Proteins) and Induced Pathologies,” International Journal of Molecular Sciences 22, no. 9 (2021): 4642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Aramouni K., Assaf R., Shaito A., et al., “Biochemical and Cellular Basis of Oxidative Stress: Implications for Disease Onset,” Journal of Cellular Physiology 238, no. 9 (2023): 1951–1963. [DOI] [PubMed] [Google Scholar]
- 122. Møller P., Danielsen P. H., Karottki D. G., et al., “Oxidative Stress and Inflammation Generated DNA Damage by Exposure to Air Pollution Particles,” Mutation Research, Reviews in Mutation Research 762 (2014): 133–166. [DOI] [PubMed] [Google Scholar]
- 123. Lim E. Y. and Kim G. D., “Particulate Matter‐Induced Emerging Health Effects Associated With Oxidative Stress and Inflammation,” Antioxidants 13, no. 10 (2024): 1256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Leni Z., Künzi L., and Geiser M., “Air Pollution Causing Oxidative Stress,” Current Opinion in Toxicology 20‐21 (2020): 1–8. [Google Scholar]
- 125. Viegas S., Ladeira C., Costa‐Veiga A., Perelman J., and Gajski G., “Forgotten Public Health Impacts of Cancer – An Overview,” Archives of Industrial Hygiene and Toxicology 68, no. 4 (2017): 287–297. [DOI] [PubMed] [Google Scholar]
- 126. Lim Y. H., Hersoug L. G., Lund R., et al., “Inflammatory Markers and Lung Function in Relation to Indoor and Ambient Air Pollution,” International Journal of Hygiene and Environmental Health 241 (2022): 113944. [DOI] [PubMed] [Google Scholar]
- 127. Fandiño‐Del‐Rio M., Kephart J. L., Williams K. N., et al., “Household Air Pollution and Blood Markers of Inflammation: A Cross‐Sectional Analysis,” Indoor Air 31, no. 5 (2021): 1509–1521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128. Lee K. K., Bing R., Kiang J., et al., “Adverse Health Effects Associated With Household Air Pollution: A Systematic Review, Meta‐Analysis, and Burden Estimation Study,” Lancet Global Health 8, no. 11 (2020): e1427–e1434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Lovrić M., Gajski G., Fernández‐Agüera J., et al., “Evidence Driven Indoor Air Quality Improvement: An Innovative and Interdisciplinary Approach to Improving Indoor Air Quality,” BioFactors 51, no. 1 (2025): e2126. [DOI] [PubMed] [Google Scholar]
- 130. Fenech M., “Cytokinesis‐Block Micronucleus Cytome Assay,” Nature Protocols 2, no. 5 (2007): 1084–1104. [DOI] [PubMed] [Google Scholar]
- 131. Collins A., Møller P., Gajski G., et al., “Measuring DNA Modifications With the Comet Assay: A Compendium of Protocols,” Nature Protocols 18, no. 3 (2023): 929–989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Gajski G., Kašuba V., Milić M., et al., “Exploring Cytokinesis Block Micronucleus Assay in Croatia: A Journey Through the Past, Present, and Future in Biomonitoring of the General Population,” Mutation Research, Genetic Toxicology and Environmental Mutagenesis 895 (2024): 503749. [DOI] [PubMed] [Google Scholar]
- 133. Ladeira C., Møller P., Giovannelli L., et al., “The Comet Assay as a Tool in Human Biomonitoring Studies of Environmental and Occupational Exposure to Chemicals – A Systematic Scoping Review,” Toxics 12, no. 4 (2024): 270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Sommer S., Buraczewska I., and Kruszewski M., “Micronucleus Assay: The State of Art, and Future Directions,” International Journal of Molecular Sciences 21, no. 4 (2020): 1534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Gajski G., Langie S., and Zhanataev A., “Recent Applications of the Comet Assay: A Report From the International Comet Assay Workshop 2019,” Toxicology Letters 333 (2020): 1–3. [DOI] [PubMed] [Google Scholar]
- 136. Azqueta A., Ladeira C., Giovannelli L., et al., “Application of the Comet Assay in Human Biomonitoring: An hCOMET Perspective,” Mutation Research, Reviews in Mutation Research 783 (2020): 108288. [DOI] [PubMed] [Google Scholar]
- 137. Milić M., Ceppi M., Bruzzone M., et al., “The hCOMET Project: International Database Comparison of Results With the Comet Assay in Human Biomonitoring. Baseline Frequency of DNA Damage and Effect of Main Confounders,” Mutation Research, Reviews in Mutation Research 787 (2021): 108371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Nersesyan A., Mišík M., Cherkas A., et al., “Use of Micronucleus Experiments for the Detection of Human Cancer Risks: A Brief Overview,” Proceeding of the Shevchenko Scientific Society Medical Sciences 65, no. 2 (2021): 50–58. [Google Scholar]
- 139. Gerić M., Pehnec G., Matković K., et al., “Air Pollution and Primary DNA Damage Among Zagreb (Croatia) Residents: A Cross‐Sectional Study,” Journal of Xenobiotics 14, no. 1 (2024): 368–379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Møller P., Azqueta A., Boutet‐Robinet E., et al., “Minimum Information for Reporting on the Comet Assay (MIRCA): Recommendations for Describing Comet Assay Procedures and Results,” Nature Protocols 15, no. 12 (2020): 3817–3826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Gajski G., Gerić M., Oreščanin V., and Garaj‐Vrhovac V., “Cytokinesis‐Block Micronucleus Cytome Assay Parameters in Peripheral Blood Lymphocytes of the General Population: Contribution of Age, Sex, Seasonal Variations and Lifestyle Factors,” Ecotoxicology and Environmental Safety 148 (2018): 561–570. [DOI] [PubMed] [Google Scholar]
- 142. Nersesyan A., Kundi M., Fenech M., et al., “Recommendations and Quality Criteria for Micronucleus Studies With Humans,” Mutation Research, Reviews in Mutation Research 789 (2022): 108410. [DOI] [PubMed] [Google Scholar]
- 143. Bonassi S., Znaor A., Ceppi M., et al., “An Increased Micronucleus Frequency in Peripheral Blood Lymphocytes Predicts the Risk of Cancer in Humans,” Carcinogenesis 28, no. 3 (2007): 625–631. [DOI] [PubMed] [Google Scholar]
- 144. Bonassi S., Ceppi M., Møller P., et al., “DNA Damage in Circulating Leukocytes Measured With the Comet Assay May Predict the Risk of Death,” Scientific Reports 11, no. 1 (2021): 16793. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. Pandey M. R., “Domestic Smoke Pollution and Chronic Bronchitis in a Rural Community of the Hill Region of Nepal,” Thorax 39, no. 5 (1984): 337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Groot J., Nielsen E. T., Nielsen T. F., et al., “Exposure to Residential Mold and Dampness and the Associations With Respiratory Tract Infections and Symptoms Thereof in Children in High Income Countries: A Systematic Review and Meta‐Analyses of Epidemiological Studies,” Paediatric Respiratory Reviews 48 (2023): 47–64. [DOI] [PubMed] [Google Scholar]
- 147. Sauni R., Verbeek J. H., Uitti J., Jauhiainen M., Kreiss K., and Sigsgaard T., “Remediating Buildings Damaged by Dampness and Mould for Preventing or Reducing Respiratory Tract Symptoms, Infections and Asthma,” Cochrane Database of Systematic Reviews 2 (2015): CD007897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Neamtiu I. A., Lin S., Chen M., Roba C., Csobod E., and Gurzau E. S., “Assessment of Formaldehyde Levels in Relation to Respiratory and Allergic Symptoms in Children From Alba County Schools, Romania,” Environmental Monitoring and Assessment 191, no. 9 (2019): 591. [DOI] [PubMed] [Google Scholar]
- 149. Norbäck D., Hashim Z., Ali F., and Hashim J. H., “Asthma Symptoms and Respiratory Infections in Malaysian Students‐Associations With Ethnicity and Chemical Exposure at Home and School,” Environmental Research 197 (2021): 111061. [DOI] [PubMed] [Google Scholar]
- 150. Takaoka M., Suzuki K., and Norbäck D., “Current Asthma, Respiratory Symptoms and Airway Infections Among Students in Relation to the School and Home Environment in Japan,” Journal of Asthma 54, no. 6 (2017): 652–661. [DOI] [PubMed] [Google Scholar]
- 151. Taskinen T., Hyvärinen A., Meklin T., Husman T., Nevalainen A., and Korppi M., “Asthma and Respiratory Infections in School Children With Special Reference to Moisture and Mold Problems in the School,” Acta Paediatrica 88, no. 12 (1999): 1373–1379. [DOI] [PubMed] [Google Scholar]
- 152. Putus T., Tuomainen A., and Rautiala S., “Chemical and Microbial Exposures in a School Building: Adverse Health Effects in Children,” Archives of Environmental Health: An International Journal 59, no. 4 (2004): 194–201. [DOI] [PubMed] [Google Scholar]
- 153. Borràs‐Santos A., Jacobs J. H., Täubel M., et al., “Dampness and Mould in Schools and Respiratory Symptoms in Children: The HITEA Study,” Occupational and Environmental Medicine 70, no. 10 (2013): 681. [DOI] [PubMed] [Google Scholar]
- 154. Palumbo J. R., Lin S., Lin Z., et al., “Assessing Associations Between Indoor Environment and Health Symptoms in Romanian School Children: An Analysis of Data From the SINPHONIE Project,” Environmental Science and Pollution Research 25, no. 9 (2018): 9186–9193. [DOI] [PubMed] [Google Scholar]
- 155. Lin Z., Lin S., Neamtiu I. A., et al., “Predicting Environmental Risk Factors in Relation to Health Outcomes Among School Children From Romania Using Random Forest Model – An Analysis of Data From the SINPHONIE Project,” Science of the Total Environment 784 (2021): 147145. [DOI] [PubMed] [Google Scholar]
- 156. Toyinbo O., Matilainen M., Turunen M., Putus T., Shaughnessy R., and Haverinen‐Shaughnessy U., “Modeling Associations Between Principals' Reported Indoor Environmental Quality and Students' Self‐Reported Respiratory Health Outcomes Using GLMM and ZIP Models,” International Journal of Environmental Research and Public Health 13, no. 4 (2016): 385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Edwards R. T., Neal R. D., Linck P., et al., “Enhancing Ventilation in Homes of Children With Asthma: Cost‐Effectiveness Study Alongside Randomised Controlled Trial,” British Journal of General Practice 61, no. 592 (2011): e733–e741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Jutel M., Mosnaim G. S., Bernstein J. A., et al., “The One Health Approach for Allergic Diseases and Asthma,” Allergy 78, no. 7 (2023): 1777–1793. [DOI] [PubMed] [Google Scholar]
- 159. Ruokolainen L., von Hertzen L., Fyhrquist N., et al., “Green Areas Around Homes Reduce Atopic Sensitization in Children,” Allergy 70, no. 2 (2015): 195–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Murrison L. B., Brandt E. B., Myers J. B., and Hershey G. K. K., “Environmental Exposures and Mechanisms in Allergy and Asthma Development,” Journal of Clinical Investigation 129, no. 4 (2019): 1504–1515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Waring M. S. and Wells J. R., “Volatile Organic Compound Conversion by Ozone, Hydroxyl Radicals, and Nitrate Radicals in Residential Indoor Air: Magnitudes and Impacts of Oxidant Sources,” Atmospheric Environment 106 (2015): 382–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Weschler C. J., “Ozone's Impact on Public Health: Contributions From Indoor Exposures to Ozone and Products of Ozone‐Initiated Chemistry,” Environmental Health Perspectives 114, no. 10 (2006): 1489–1496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Rumchev K., Spickett J., Bulsara M., Phillips M., and Stick S., “Association of Domestic Exposure to Volatile Organic Compounds With Asthma in Young Children,” Thorax 59, no. 9 (2004): 746–751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Jartti T., Bønnelykke K., Elenius V., and Feleszko W., “Role of Viruses in Asthma,” Seminars in Immunopathology 42, no. 1 (2020): 61–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165. Agache I., Canelo‐Aybar C., Annesi‐Maesano I., et al., “The Impact of Indoor Pollution on Asthma‐Related Outcomes: A Systematic Review for the EAACI Guidelines on Environmental Science for Allergic Diseases and Asthma,” Allergy 79, no. 7 (2024): 1761–1788. [DOI] [PubMed] [Google Scholar]
- 166. Fahy J. V., “Type 2 Inflammation in Asthma – Present in Most, Absent in Many,” Nature Reviews. Immunology 15, no. 1 (2015): 57–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Xu C. J., Söderhäll C., Bustamante M., et al., “DNA Methylation in Childhood Asthma: An Epigenome‐Wide Meta‐Analysis,” Lancet Respiratory Medicine 6, no. 5 (2018): 379–388. [DOI] [PubMed] [Google Scholar]
- 168. Forno E., Wang T., Qi C., et al., “DNA Methylation in Nasal Epithelium, Atopy, and Atopic Asthma in Children: A Genome‐Wide Study,” Lancet Respiratory Medicine 7, no. 4 (2019): 336–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169. Legaki E., Taka S., and Papadopoulos N. G., “The Complexity in DNA Methylation Analysis of Allergic Diseases,” Current Opinion in Allergy and Clinical Immunology 23, no. 2 (2023): 172–178. [DOI] [PubMed] [Google Scholar]
- 170. Jartti T. and Gern J. E., “Role of Viral Infections in the Development and Exacerbation of Asthma in Children,” Journal of Allergy and Clinical Immunology 140, no. 4 (2017): 895–906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171. Jakiela B., Brockman‐Schneider R., Amineva S., Lee W. M., and Gern J. E., “Basal Cells of Differentiated Bronchial Epithelium Are More Susceptible to Rhinovirus Infection,” American Journal of Respiratory Cell and Molecular Biology 38, no. 5 (2008): 517–523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Bønnelykke K., Coleman A. T., Evans M. D., et al., “Cadherin‐Related Family Member 3 Genetics and Rhinovirus C Respiratory Illnesses,” American Journal of Respiratory and Critical Care Medicine 197, no. 5 (2017): 589–594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Rubner F. J., Jackson D. J., Evans M. D., et al., “Early Life Rhinovirus Wheezing, Allergic Sensitization, and Asthma Risk at Adolescence,” Journal of Allergy and Clinical Immunology 139, no. 2 (2017): 501–507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174. Calışkan M., Bochkov Y. A., Kreiner‐Møller E., et al., “Rhinovirus Wheezing Illness and Genetic Risk of Childhood‐Onset Asthma,” New England Journal of Medicine 368, no. 15 (2024): 1398–1407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Lukkarinen M., Koistinen A., Turunen R., Lehtinen P., Vuorinen T., and Jartti T., “Rhinovirus‐Induced First Wheezing Episode Predicts Atopic but Not Nonatopic Asthma at School Age,” Journal of Allergy and Clinical Immunology 140, no. 4 (2017): 988–995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176. Wrotek A., Badyda A., Czechowski P. O., Owczarek T., Dąbrowiecki P., and Jackowska T., “Air Pollutants' Concentrations Are Associated With Increased Number of RSV Hospitalizations in Polish Children,” Journal of Clinical Medicine 10, no. 15 (2021): 3224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177. Peltola V., Waris M., Österback R., Susi P., Ruuskanen O., and Hyypiä T., “Rhinovirus Transmission Within Families With Children: Incidence of Symptomatic and Asymptomatic Infections,” Journal of Infectious Diseases 197, no. 3 (2008): 382–389. [DOI] [PubMed] [Google Scholar]
- 178. Gilles S., Blume C., Wimmer M., et al., “Pollen Exposure Weakens Innate Defense Against Respiratory Viruses,” Allergy 75, no. 3 (2020): 576–587. [DOI] [PubMed] [Google Scholar]
- 179. Beck I., Jochner S., Gilles S., et al., “High Environmental Ozone Levels Lead to Enhanced Allergenicity of Birch Pollen,” PLoS One 8, no. 11 (2013): e80147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Celebi Sozener Z., Ozdel Ozturk B., Cerci P., et al., “Epithelial Barrier Hypothesis: Effect of the External Exposome on the Microbiome and Epithelial Barriers in Allergic Disease,” Allergy 77, no. 5 (2022): 1418–1449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181. Sun N., Ogulur I., Mitamura Y., et al., “The Epithelial Barrier Theory and Its Associated Diseases,” Allergy 79, no. 12 (2024): 3192–3237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182. Agache I., Akdis C., Akdis M., et al., “Immune‐Mediated Disease Caused by Climate Change‐Associated Environmental Hazards: Mitigation and Adaptation,” Frontiers in Science 2 (2024): 1279192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183. Chen T., Shi S., Li X., et al., “Improved Ambient Air Quality Is Associated With Decreased Prevalence of Childhood Asthma and Infancy Shortly After Weaning Is a Sensitive Exposure Window,” Allergy 79, no. 5 (2024): 1166–1179. [DOI] [PubMed] [Google Scholar]
- 184. Moorthy B., Chu C., and Carlin D. J., “Polycyclic Aromatic Hydrocarbons: From Metabolism to Lung Cancer,” Toxicological Sciences 145, no. 1 (2015): 5–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Badyda A. J., Rogula‐Kozłowska W., Majewski G., et al., “Inhalation Risk to PAHs and BTEX During Barbecuing: The Role of Fuel/Food Type and Route of Exposure,” Journal of Hazardous Materials 440 (2022): 129635. [DOI] [PubMed] [Google Scholar]
- 186. Wu L., Lu X., Zhang S., et al., “Co‐Exposure Effects of Urinary Polycyclic Aromatic Hydrocarbons and Metals on Lung Function: Mediating Role of Systematic Inflammation,” BMC Pulmonary Medicine 24, no. 1 (2024): 386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. Låg M., Øvrevik J., Refsnes M., and Holme J. A., “Potential Role of Polycyclic Aromatic Hydrocarbons in Air Pollution‐Induced Non‐Malignant Respiratory Diseases,” Respiratory Research 21, no. 1 (2020): 299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188. Chciałowski A., Dąbrowiecki P., Jaskóła‐Polkowska D., Rzeszotarska A., and Korsak J., “Particulate Matter and Polycyclic Aromatic Hydrocarbons Influence on Respiratory Function and the Possibility of Allergy in Healthy Adults,” Austin Environmental Sciences 9, no. 1 (2024): id1103. [Google Scholar]
- 189. Dąbrowiecki P., Chciałowski A., Dąbrowiecka A., and Badyda A., “Ambient Air Pollution and Risk of Admission due to Asthma in the Three Largest Urban Agglomerations in Poland: A Time‐Stratified, Case‐Crossover Study,” International Journal of Environmental Research and Public Health 19, no. 10 (2022): 5988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Dąbrowiecki P., Chciałowski A., Dąbrowiecka A., Piórkowska A., and Badyda A., “Air Pollution and Long‐Term Risk of Hospital Admission due to Chronic Obstructive Pulmonary Disease Exacerbations in Poland: A Time‐Stratified, Case‐Crossover Study,” Polish Archives of Internal Medicine 133, no. 7‐8 (2023): 16444. [DOI] [PubMed] [Google Scholar]
- 191. Ferro A. R., Kopperud R. J., and Hildemann L. M., “Elevated Personal Exposure to Particulate Matter From Human Activities in a Residence,” Journal of Exposure Science & Environmental Epidemiology 14, no. 1 (2004): S34–S40. [DOI] [PubMed] [Google Scholar]
- 192. Rufo J. C., Annesi‐Maesano I., Carreiro‐Martins P., et al., “Issue 2 – “Update on Adverse Respiratory Effects of Indoor Air Pollution” Part 1: Indoor Air Pollution and Respiratory Diseases: A General Update and a Portuguese Perspective,” Pulmonology 30, no. 4 (2024): 378–389. [DOI] [PubMed] [Google Scholar]
- 193. Bentayeb M., Billionnet C., Baiz N., Derbez M., Kirchner S., and Annesi‐Maesano I., “Higher Prevalence of Breathlessness in Elderly Exposed to Indoor Aldehydes and VOCs in a Representative Sample of French Dwellings,” Respiratory Medicine 107, no. 10 (2013): 1598–1607. [DOI] [PubMed] [Google Scholar]
- 194. Ali M. U., Yu Y., Yousaf B., et al., “Health Impacts of Indoor Air Pollution From Household Solid Fuel on Children and Women,” Journal of Hazardous Materials 416 (2021): 126127. [DOI] [PubMed] [Google Scholar]
- 195. Sunyer J., Esnaola M., Alvarez‐Pedrerol M., et al., “Association Between Traffic‐Related Air Pollution in Schools and Cognitive Development in Primary School Children: A Prospective Cohort Study,” PLoS Medicine 12, no. 3 (2015): e1001792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Forns J., Dadvand P., Esnaola M., et al., “Longitudinal Association Between Air Pollution Exposure at School and Cognitive Development in School Children Over a Period of 3.5 Years,” Environmental Research 159 (2017): 416–421. [DOI] [PubMed] [Google Scholar]
- 197. Midouhas E., Kokosi T., and Flouri E., “Outdoor and Indoor Air Quality and Cognitive Ability in Young Children,” Environmental Research 161 (2018): 321–328. [DOI] [PubMed] [Google Scholar]
- 198. Kuntić M., Hahad O., Münzel T., and Daiber A., “Crosstalk Between Oxidative Stress and Inflammation Caused by Noise and Air Pollution – Implications for Neurodegenerative Diseases,” Antioxidants 13, no. 3 (2024): 266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199. Thygesen M., Holst G. J., Hansen B., et al., “Exposure to Air Pollution in Early Childhood and the Association With Attention‐Deficit Hyperactivity Disorder,” Environmental Research 183 (2020): 108930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Margolis A. E., Herbstman J. B., Davis K. S., et al., “Longitudinal Effects of Prenatal Exposure to Air Pollutants on Self‐Regulatory Capacities and Social Competence,” Journal of Child Psychology and Psychiatry 57, no. 7 (2016): 851–860. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
