Skip to main content
Environment & Health logoLink to Environment & Health
. 2026 Jun 22;4(8):1587–1608. doi: 10.1021/envhealth.5c00836

Health Benefits of Air Purification: A Systematic Review

Xiaowei Xue †, Yixuan Jiang †, Weijie Qian ‡, Renjie Chen †, Haidong Kan †,§,*
PMCID: PMC13504564  PMID: 42643982

Abstract

Air pollution is a critical global public health challenge that poses a wide range of health threats. As people spend most of their time indoors, household air pollution is a significant yet often overlooked source of exposure. Existing evidence suggests that air purification is a promising intervention to mitigate these risks. This systematic review synthesized evidence from studies published between January 1990 and August 2025 on the effectiveness of air purifiers for improving the indoor air quality and mitigating health impacts. We also assess the cost-effectiveness and identify major limitations in current research. The findings demonstrate that air purifiers significantly reduce indoor pollution levels, leading to substantial respiratory and cardiovascular benefits, particularly in high-risk populations. However, evidence of neurocognitive outcomes remains limited. Despite heterogeneity in study designs, air purifiers represent a potentially cost-effective strategy for mitigating the adverse effects from air pollution. Standardized device certification, supportive policies to improve access, and continued research to optimize intervention strategies are warranted for the future.

Keywords: air purification, indoor air quality, cardiorespiratory health, neurocognitive function, cost-effectiveness


graphic file with name eh5c00836_0005.webp


graphic file with name eh5c00836_0003.webp

1. Introduction

Globally, air pollution remains a critical public health challenge. , According to the most recent Global Burden of Disease (GBD) 2023 estimates, air pollution remains a leading environmental risk factor for premature death and disability-adjusted life years (DALYs) globally. Fine particulate matter (PM2.5) continues to rank among the top risk factors for total DALYs worldwide, reportedly accounting for 8.2% (95% uncertainty interval: 6.7%, 9.7%) of DALYs, underscoring its substantial contribution to the global burden of diseases. While policy often focuses on outdoor ambient pollution, indoor air quality poses a threat that is at least as significant. Individuals spend approximately 90% of their time indoors, − where indoor air pollution levels can surpass outdoor concentrations, particularly in poorly ventilated environments. This is due to the infiltration of ambient pollutants and emissions from indoor sources such as cooking, smoking, volatile organic compounds from various products. , This “indoor penalty” is amplified in vulnerable populations, including children, pregnant individuals, and those with pre-existing conditions such as asthma or chronic obstructive pulmonary disease (COPD). Therefore, it is essential to address the health impacts of indoor air pollution by controlling indoor air quality to reduce the associated disease burden.

While various methods and approaches are available to control indoor pollutant levels, strategies such as improving ventilation systems and controlling pollution sources are often constrained by limited resources. Air purification systems, particularly portable air cleaners equipped with high-efficiency particulate air (HEPA) filters, have emerged as a viable solution. These devices are estimated to reduce indoor PM2.5 by 50–90% through mechanical filtration, electrostatic precipitation, or hybrid technologies and may show promising potential as an intervention. A growing body of research has explored the health benefits of air purifiers in mitigating air pollution but significant heterogeneity in study design, intervention duration, and technology type has made it difficult to draw consistent conclusions.

Therefore, this systematic review comprehensively assessed the effectiveness of air purifier interventions in improving indoor air quality and their associated health benefits. By synthesizing evidence from studies with different intervention durations, air purifier types, and health outcomes, this review aimed to provide recommendations regarding the most effective air purifiers for different settings as well as the optimal duration of intervention. The findings provide guidance for the large-scale implementation of air purification strategies and the reduction of air pollution-related health inequities.

2. Methodology

2.1. Search Strategy and Protocol

A systematic literature search was conducted in PubMed and Web of Science for peer-reviewed, English-language articles published between January 1, 1990, and August 31, 2025. The search utilized a combination of keywords and Medical Subject Headings (MeSH) terms related to “air purifier,” “air purification,” “air cleaner,” “air filter,” “high-efficiency particulate air filter,” “air pollution,” “health,” “cardiovascular,” “respiratory,” “cardiopulmonary,” “cardiorespiratory,” “neurocognitive,” “neurodevelopment,” “cognitive function,” “mortality,” “morbidity,” “health benefit,” “randomized intervention study,” “randomized crossover trial,” and “randomized controlled trial.” Boolean operators (AND/OR) and truncation symbols (*) were applied to capture variations in terminology.

The systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines for reporting. ,

2.2. Study Inclusion/Exclusion Criteria

The following inclusion and exclusion criteria were applied: (1) We included randomized intervention studies, as well as cost-effective or health benefit studies related to air purification, and excluded chamber-based experimental studies where air quality was not managed by a portable device. All types of randomized intervention studies were included, such as randomized crossover trials, randomized clinical trials, randomized parallel-group studies, and randomized self-controlled studies, without restriction on blind methods and intervention durations. To ensure the integrity of blinding, a “sham” condition was typically utilized to provide a controlled comparison without reducing indoor pollutant concentrations. The configuration of a sham unit depends on the underlying technology. In mechanical filtration systems, such as HEPA purifiers, researchers typically remove the internal filter. Conversely, in trials using active purification technologies such as ionizers, electrostatic precipitators (ESPs), or photocatalytic oxidation (PCO) devices, the active electrical or ionizing components are deactivated. Regardless of the technology, the device fan continues to operate at identical speeds to ensure that participants remain blinded to the intervention. (2) The study population comprised individuals across all age groups exposed to air pollution. We included both healthy populations and vulnerable subgroups, such as children, elderly individuals, and pregnant women. Additionally, specific occupational groups (e.g., office workers and taxi drivers) were also incorporated into the analysis. (3) We included interventions involving various indoor air purification technologies (HEPA, ionizers, and photocatalysis). Studies focusing on personal protective equipment (e.g., face masks) or source control (e.g., changing cookstoves) were excluded. (4) The health end points assessed in this review included clinical indicators, biomarkers, symptom scores, and disease status related to cardiovascular, respiratory, cardiopulmonary, and neurocognitive systems, as well as indicators of cost-benefit or disease burden.

2.3. Eligible Study Selection and Data Extraction

After removing duplicates, two authors independently screened all remaining studies’ titles, abstracts, and the full texts according to the inclusion and exclusion criteria. Then, they extracted the information on eligible studies independently. Discrepancies were resolved through discussion.

Using a predefined standardized form, the following key information on each study was extracted: authors, year of publication, study region, study period, study design, study population, sample size, type of air purifier, setting, intervention and washout period, pollutant type, outcomes, and study findings.

3. Results and Discussion

3.1. Summary of Included Literature

A total of 3979 records were identified through searching the database. After removing 237 duplicates, 3742 records remained for screening, and 3016 were excluded based on title and abstract screening. Of the remaining 726 records, 613 were further excluded after an in-depth review of the full text. Finally, 113 articles were included in this review (Figure ).

1.

1

Flowchart for study selection.

Specifically, the identified studies were mainly conducted in East Asia, North America, and Northern Europe (Figure ). The study population encompassed pregnant women, children, older adults, and adults, spanning a wide age range (1–103 years). Sample sizes varied from 9 to 2123 participants (median: 47), with one study including 136,000 children across 290 schools. The majority of studies incorporated into this review (n = 106) were randomized intervention studies. Seven studies calculated the cost-effectiveness or health benefits attributable to air purification by constructing mathematical models rather than conducting field research. The majority of studies (n = 96, 85%) utilized HEPA filters. Other air cleaners included ESPs (n = 5), ionization purifiers (n = 3), nonthermal plasma (NTP) purifiers (n = 1), negative ion generators (n = 1), PCO purifiers (n = 1), photoelectrochemical oxidation (PECO) purifiers (n = 1), and in-vehicle CO2 filtration systems (n = 1), with an additional 4 studies employing unspecified air purifier types. Generally, HEPA and ESP were the predominant technologies used for particulate matter reduction, while active technologies such as PCO and ionizers were primarily targeted toward gaseous pollutants or bioaerosols. Detailed technical specifications for each study are provided in Tables –. Interventions varied in duration, encompassing both short- and medium-to-long-term periods. The duration of interventions across all included studies ranged from 1.5 h to 18 months. Included studies focused on the health benefits associated with reducing levels of indoor particulate matter (primarily PM2.5), gaseous pollutants (nitrogen dioxide, NO2; carbon dioxide, CO2; volatile organic compound, VOC), black carbon, dust, various airborne allergens (e.g., dust mites, fungi, pollen, cat allergens), benzene compounds, secondhand smoke, pathogen-laden aerosols, and phthalates.

2.

2

Global geographical distribution of included studies on effects of indoor air purifiers use on health.

1. Characteristics of Included Studies on Respiratory Systems .

author(s) study region study period study design study population sample size purifier type setting intervention duration pollutant(s) outcome(s) result(s)
Yoda et al. Hanshin, Japan 2018.11–2019.2 randomized double-blind crossover trial healthy adults 32 HEPA living room 4 weeks per phase, 4 week washout endotoxin in indoor PM2.5 and PM2.5–10 FVC, FEV1, FEV1/FVC, MMEF, PEF, FVC(V50/V25), FeNO no significant change
Yoda et al. Osaka and Hanshin, Japan 2018.11–2019.2 randomized double-blind crossover trial healthy adults 32 HEPA living room 4 weeks per phase, 4 week washout PM2.5 FVC, FEV1, FEV1/FVC MMEF, PEF, FVC(V50/V25), FeNO no significant change
Li et al. Yulin, China 2016.6–2018.9 randomized parallel-group trial patients with allergic rhinitis sensitive to artemisia pollen 90 HEPA bedroom 4 week intervention pollen VAS score, nasal symptoms, allergic symptom scores, RQLQ scores significant improvement
Zhao et al. Beijing, China 2021.11–2022.4 randomized crossover trial healthy adults 68 HEPA dormitory 4 days per phase, 16 day washout airborne microorganisms FVC, FEV1 FEF25, FEF50, FEF75, FEF25–75, PEF significant improvement
Gherasim et al. Strasbourg, France 2017.12.6–2018.2.19 randomized crossover trial patients with feline asthma 24 HEPA standardized environment intervention duration not specified, 3 week washout cat allergen early and late asthmatic responses, bronchial reactivity, FEV1 significant improvement
Skulberg et al. Oslo, Norway January to March randomized crossover trial workers with respiratory symptoms 80 electrostatic air purifier office 3 week intervention dust nasal dimensions, PEF significant improvement
Lee et al. Incheon, South Korea 2018.9.3–2018.10.27 randomized double-blind crossover trial elementary school students with asthma 30 HEPA living room 3 weeks per phase, 2 week washout PM2.5 asthma severity, lung function, PEFR, FeNO, airway inflammation, urinary microbiome and phthalate levels significant improvement
Lei et al. Mengzhou, China 2021.4–2021.12 randomized crossover trial healthy elementary school students 79 HEPA classroom, children’s bedroom 76 days per phase, 88 day washout PM2.5 FEV1, PEF, FEV1/FVC, FVC, FEF25–75, MEF75, MEF50, MEF25, FeCO, FeNO, COHb, EBC metabolome significant improvement
Warner et al. London, UK   randomized double-blind crossover trial children with allergic asthma 20 ionizing air purifier living room, bedroom 6 weeks per phase, no washout period dust mite allergen PEFR, symptom scores no significant change
James et al. Cincinnati, US 2015.10–2017.8 randomized double-blind crossover trial children with asthma 43 HEPA residence 1 month per phase, 1 month washout PM2.5, BC, UV-absorbing particulate matter, fungal spores asthma control, quality of life scores significant improvement
van der Heide et al. Groningen, Netherlands 1997.9–1998.4 randomized double-blind crossover trial children with asthma sensitive to cat or dog allergens 20 HEPA living room, bedroom 3 months per phase, no washout period animal allergens in dust lung function, airway hyperresponsiveness, peak flow variability significant improvement
Yang et al. Beijing, China 2019.3.18–2019.4.26 randomized double-blind crossover trial healthy children 125 HEPA classroom, dormitory 3 days per phase, 1 month washout PM10, PM2.5, PM1 lung function, biomarkers of inflammation and oxidative stress significant improvement
Gent et al. Connecticut and Massachusetts, US 2015.9–2019.4 randomized double-blind crossover trial children with persistent asthma 126 HEPA residence 4 weeks per phase, 1 week washout NO2, PM2.5 days with asthma symptoms no significant change
Cui et al. Shanghai, China 2017.2.14–2017.4.24 randomized double-blind crossover trial children with mild-to-moderate asthma 43 HEPA bedroom 2 weeks per phase, 2 week washout PM2.5 FeNO, spirometry, impulse oscillometry, PEF significant improvement
Kim et al. Incheon, South Korea 2018.9–2018.10 randomized double-blind crossover trial children with asthma 26 HEPA bedroom or main living space 3 weeks per phase, 1 week washout PM2.5 PEFR, FeNO significant improvement
Xu et al. New York, US 2007.10–2008.4 randomized double-blind crossover trial children with asthma 30 HEPA bedroom 6 weeks per phase, 6 week washout PM10, VOC, CO, CO2 EBC, PEF significant improvement
Khadar et al. New South Wales, Australia 2023.4.7–2023.10.26 randomized crossover trial residents of an aged care facility 135 HEPA rooms in a residential aged care facility 3 months per phase, 1 week washout pathogen-containing aerosols incidence of ARIs, time to first infection, emergency department visits, hospitalizations, medical consultations for ARI significant improvement
Reisman et al. New York and Maryland, US November to March randomized double-blind crossover trial patients with a multiyear history of rhinitis and/or asthma during fall-winter 32 HEPA bedroom 4 months per phase, no washout period particulate matter ≥ 0.3 μm symptom/medication scores significant improvement
Antonicelli et al. Ancona, Italy 1988.10–1989.2 randomized double-blind crossover trial patients with dust mite allergy 9 HEPA residence 2 months per phase, no washout period dust mites symptom scores, bronchial hyperreactivity no significant change
van der Heide et al. Groningen, Netherlands   randomized parallel-group trial patients with allergic asthma 45 HEPA living room, bedroom 6 month intervention airborne allergenic particles lung function, airway hyperresponsiveness, skin tests significant improvement
Francis et al. Manchester, UK   randomized parallel-group trial adult asthmatic patients allergic to cats and/or dogs 30 HEPA living room, Bedroom 12 month intervention dust combined asthma outcome, lung function significant improvement
Wood et al. Maryland, US   randomized parallel-group trial patients with cat allergy 35 HEPA bedroom 3 month intervention airborne allergens, dust nasal symptom score, chest symptom score, sleep disturbance, peak flow rates, rescue medication use no significant change
Sulser et al. Germany 1999.8–2000.10 randomized parallel-group trial children with asthma and cat/dog allergy with significant exposure 30 HEPA living room, bedroom 1 year intervention levels of pet allergens in filter and bulk dust samples lung function no significant change
Walker et al. Alaska, Montana and Navajo Nation; US two winters randomized parallel-group trial children ≤ 5 years old in homes with wood stoves 416 HEPA room with wood stove two winter seasons PM2.5 incidence of lower respiratory tract infections no significant change
Lanphear et al. Cincinnati, US   randomized parallel-group trial children with asthma exposed to secondhand smoke 215 HEPA main activity space, bedroom 1 year intervention secondhand smoke asthma exacerbation, asthma symptoms, FeNO significant improvement
Jhun et al. Northeast (3 cities), US 2013–2014 cluster-randomized parallel-group trial children with asthma 25 HEPA classroom 1 year intervention PM2.5, BC lung function, asthma symptoms improved peak flows no change in FEV1 and asthma symptom
Phipatanakul et al. Northeast (41 urban schools), US 2015–2020 cluster-randomized parallel-group trial students with active asthma 236 HEPA classroom 10 month intervention PM2.5, PM2.5–10, BC, allergens in air and settled dust asthma symptom days, school absence days, composite asthma severity index, healthcare utilization, lung function no significant change
Butz et al. Baltimore, US   randomized parallel-group trial children with asthma living with smokers 126 HEPA living room, bedroom 6 month intervention PM2.5, PM2.5–10, airborne nicotine, urinary cotinine asthma symptom-free days significant improvement
Luo et al. Guangzhou, China 2016.8–2017.2 randomized parallel-group trial children with mild allergic asthma 38 HEPA bedroom 6 month intervention PM, dust, mite allergens in dust asthma control status, FeNO significant improvement
Park et al. Seoul and Gwangju, South Korea October to November randomized double-blind crossover trial adults with allergic rhinitis 44 HEPA living room, bedroom 6 week intervention PM2.5, PM10 improvement in allergic rhinitis symptoms, medication scores, quality of life, VAS scores significant improvement
Kadalayil et al. Isle of Wight, UK 2019.9–2021.7 randomized parallel-group trial adults with mild-to-moderate persistent, uncontrolled asthma 50 HEPA living room, bedroom 18 month intervention PM2.5 asthma and rhinitis symptom, sleep quality of life significant improvement
Woo et al. Baltimore, US 2014.4–2019.1 randomized parallel-group trial former-smoking adult COPD patients 94 HEPA living room, bedroom 6 month intervention PM2.5, NO2 SGRQ score significant improvement
Hansel et al. Baltimore, US 2014.4–2019.1 randomized parallel-group trial former-smoking adult COPD patients 94 HEPA living room, bedroom 6 month intervention PM2.5, NO2 changes in SGRQ over six months significant improvement
Fawzy et al. Baltimore, US 2014.4–2019.1 randomized parallel-group trial former-smoking adult COPD patients 116 HEPA living room, bedroom 6 month intervention PM2.5, PM10, UFP IL-8, IL-6, IL-1β, TNF-α, IFN-γ, VCAM-1, ICAM-1, P-selectin, sCD40L, 8-OHdG, 8-iso-PGF2α no significant change
Kouis et al. Cyprus and Greece 2021.2–2021.6 2021.9–2021.12 randomized crossover trial children with asthma 182 HEPA classroom, home 3 months per phase PM10 asthma control status significant improvement
Drieling et al. Yakima Valley, US 2015.7–2019.2 randomized parallel-group trial rural latino children with asthma 75 HEPA living room, bedroom 1 year intervention PM2.5 ACT score, asthma symptoms, unscheduled clinical care use significant improvement
Park et al. Fresno, US 2015.4–2015.7 randomized parallel-group trial children with asthma and/or allergic rhinitis 17 HEPA living room, bedroom 12 week intervention PM2.5 asthma control level, peak expiratory flow, nasal symptom scores significant improvement
Morgan et al. Boston, Chicago, Dallas, New York City, Seattle, Tacoma, Tucson; US 1998.8–1999.7 randomized parallel-group trial children with atopic asthma 937 HEPA bedroom 1 year intervention dust, various airborne allergens, secondhand smoke, mold days of most severe symptoms in the 2 weeks preceding the interview, spirometry, PEF, medication and healthcare use significant improvement
Kaviany et al. Baltimore, US 2018.9–2020.1 randomized parallel-group trial children with asthma 127 HEPA main activity space, bedroom 12 week intervention PM2.5 asthma severity, asthma control level significant improvement
Fong et al. Isle of Wight, UK 2019.9–2021.7 randomized parallel-group trial adults with mild-to-moderate persistent, uncontrolled asthma 50 HEPA living room, bedroom 18 month intervention PM2.5, PM10, benzene, NO2 change in ACQ-6 and AQLQ scores, lung function, bronchial hyperreactivity, FeNO, PEF no significant change
Huang et al. Florida, US 1993.7–1994.6 randomized parallel-group trial children with perennial rhinitis due to mold allergy 75 air purifier bedroom 2 year intervention mold symptom scores significant improvement
Luo et al. Guangzhou, China 2015.10–2016.2 randomized parallel-group trial patients with allergic rhinitis 32 HEPA bedroom 4 month intervention allergens in dust, PM1, PM2.5, PM10 allergic rhinitis quality of life scores significant improvement
Rao et al. Austin, US 2015.3–2017.4 randomized double-blind crossover trial adults with varying degrees of nasal or ocular allergy symptoms, some with asthma 46 PECO bedroom 4 week intervention airborne organic compounds and microorganisms total nasal and ocular allergy symptom score significant improvement
Moreno-Rangel et al. McAllen, US 2019.6–2019.11 randomized crossover trial children with asthma 13 HEPA bedroom 7 day intervention PM2.5 overall health, asthma control level significant improvement
Weisboeck-Erdheim et al. Salzburg and Upper Austria, Austria 2022.11–2023.3 cluster-randomized parallel-group trial office workers 150 NTP office 5 month intervention airborne microorganisms upper respiratory tract infections incidence and severity significant improvement
a

Abbreviations: HEPA, high-efficiency particulate air; PECO, photoelectrochemical oxidation; NTP, nonthermal plasma; PM2.5, particulate matter with an aerodynamic diameter ≤2.5 μm; PM10, particulate matter with an aerodynamic diameter ≤ 10 μm; PM1, particulate matter with an aerodynamic diameter ≤ 1 μm; PM2.5–10, particulate matter with an aerodynamic diameter between 2.5 and 10 μm; BC, black carbon; UV, ultraviolet; VOC, volatile organic compound; CO, carbon monoxide; CO2, carbon dioxide; NO2, nitrogen dioxide; UFP, ultrafine particles; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 s; FEV1/FVC, the ratio of FEV1 to FVC; MMEF, maximal midexpiratory flow; PEF/PEFR, peak expiratory flow (rate); V50, flow rates at 50% of FVC; V25, flow rates at 25% of FVC; FEF25, forced expiratory flow at 25% of FVC; FEF50, forced expiratory flow at 50% of FVC; FEF75, forced expiratory flow at 75% of FVC; FEF25–75, forced expiratory flow at 25–75% of FVC; MEF25, maximal expiratory flow at 25% of vital capacity; MEF50, maximal expiratory flow at 50% of vital capacity; MEF75, maximal expiratory flow at 75% of vital capacity; FeNO, fraction of exhaled nitric oxide; FeCO, fraction of exhaled carbon monoxide, COHb, carboxyhemoglobin; EBC, exhaled breath condensate; VAS score, visual analogue scale score; RQLQ, rhinoconjunctivitis quality of life questionnaire; ARI, acute respiratory infection; SGRQ, St. George’s respiratory questionnaire; ACT score, asthma control test score; ACQ-6, asthma control questionnaire-6; AQLQ, asthma quality of life questionnaire; IL-8, interleukin-8; IL-6, interleukin-6; IL-1β, interleukin-1β; TNF-α, tumor necrosis factor-α; IFN-γ, interferon-γ; VCAM-1, vascular cell adhesion molecule-1; ICAM-1, intercellular adhesion molecule-1; sCD40L, soluble CD40 ligand; 8-OHdG, 8-hydroxy-2′-deoxyguanosine; 8-iso-PGF2α, 8-iso-prostaglandin F2α.

4. Characteristics of Included Studies on Neurocognition and Children Development, Cost-Effectiveness, and Others .

author(s) study region study period study design study population sample size purifier type setting intervention duration pollutants outcome(s) result(s)
Lamport et al. Reading, UK 2021.5–2021.9 randomized double-blind crossover trial healthy adults 30 HEPA residence 2 weeks per phase, 2 week washout PM2.5, PM10, VOC, NO2 daily sleep outcomes and mood, ISI, PSQI, symptoms of anxiety and depression significant improvement
Xu et al. Tianjin, China 2019.11.30–2019.12.7 randomized crossover trial healthy adults 162 HEPA classroom intervention throughout each exam period, 1 week washout PM10, PM2.5, PM1, BC English exam scores significant improvement
Zhou et al. Beijing, China 2022 randomized double-blind crossover trial healthy adults 55 HEPA office 1 day per phase (5–7h), no washout PM2.5 cognitive test outcomes significant improvement
Wargocki et al. Copenhagen, Denmark Lund, Sweden winter and early spring in 2005 randomized crossover trial healthy children 190 electrostatic air purifier classroom 1 week per phase, no washout PM2.5, UFP homework performance no significant change
Wang et al. Beijing, China 2017.12–2018.4 randomized double-blind crossover trial healthy adults 24 HEPA dormitory pollution wave, >2 week washout PM2.5 plasma metabolome significant improvement
Chen et al. Shanghai, China 2015.11–2015.12 randomized double-blind crossover trial healthy adults 45 HEPA dormitory 9 days per phase, 12 day washout PM2.5 urinary metabolome significant improvement
Brugge et al. Chelsea and Boston, US 2013 randomized double-blind crossover trial low-income Puerto Rican adults 23 HEPA living room or bedroom 3 weeks per phase, no washout UFP TNF-RII, IL-6, hsCRP no significant change
Ke et al. Beijing, China   randomized double-blind crossover trial healthy adults 93 HEPA fitness center 2 h intervention PM2.5 cognitive function, transcriptomics, metabolomics IgG, IgA, IgM, TP, GLB, total Tau, and BDNF levels, proteomics significant improvement
Gignac et al. Barcelona, Spain 2018.11–2019.6 randomized crossover trial adolescents 2123 cartridge filter purifier classroom 1.5 h intervention PM2.5, BC response speed consistency; impulsivity, selective attention, alerting, orienting, and conflict scores no significant change
Ulziikhuu et al. Ulaanbaatar, Mongolia 2014.1.9–2020.1.8 randomized parallel-group trial children 242 HEPA main living area, bedroom deployed during pregnancy at median 10 weeks gestation PM2.5 cognitive performance, IQ significant improvement susceptible population: mothers who did not use vitamin supplements, experienced higher levels of stress, or had lower educational attainment.
Enkhbat et al. Ulaanbaatar, Mongolia 2014.1.9–2020.1.8 randomized parallel-group trial children 387 HEPA main living area, bedroom deployed during pregnancy at median 11 weeks gestation PM2.5 SRS score no significant change
Enkhbat et al. Ulaanbaatar, Mongolia 2014.1.9–2017.12 randomized parallel-group trial children 407 HEPA main living area, bedroom deployed during pregnancy at median 11 weeks gestation PM2.5 behavior problem scores no significant change
Tamana et al. Ulaanbaatar, Mongolia 2014.1.9–2017.12 randomized parallel-group trial children 480 HEPA main living area, bedroom deployed during pregnancy at median 11 weeks gestation PM2.5 BMI z-score significant improvement
Barn et al. Ulaanbaatar, Mongolia 2014.1.9–2015.5.1 randomized parallel-group trial children 463 HEPA main living area, bedroom deployed during pregnancy at median 11 weeks gestation PM2.5 birth weight significant improvement
Ulziikhuu et al. Ulaanbaatar, Mongolia 2014.1.9–2020.1.8 randomized parallel-group trial children 383 HEPA main living area, bedroom deployed during pregnancy at median 11 weeks gestation PM2.5 full scale IQ significant improvement
Rosén et al. Uddevalla, Sweden   randomized parallel-group trial preschool children 93 electrostatic air purifier daycare center 1 year intervention very fine particles, fine particles sick-day absenteeism rate significant improvement
Kwag et al. Seoul and Ulsan, South Korea 2017–2020 randomized double-blind crossover trial housewives 40 HEPA residence 12 week intervention PM2.5, PM10 hemoglobin, MCV, MCH, MCHC significant improvement
Zhang et al. China 2019 modeling study all-age population     residence long-term intervention PM2.5 annual operating cost of an air purifier, DALYs significant cost-effectiveness
Fisk et al. Elizabeth, Los Angeles, Houston; US 2010–2013 modeling study all-age population   HVAC system, HEPA residence long-term intervention PM2.5 estimated potential mortality reductions from filtration improvements significant cost-effectiveness
Fisk et al. six counties in Southern California, US 2003 modeling study all-age population   HVAC system, HEPA residence a 10 day period of wildfire smoke exposure wildfire-generated PM2.5 estimated reductions in hospitalizations (overall respiratory, asthma, bronchitis, COPD, pneumonia) and premature deaths significant cost-effectiveness
Martenies et al. Detroit and adjacent cities, US 2011–2015 modeling study children 136,000 enhanced HVAC filters (MERV 8–14), HEPA bedroom, living room, classroom long-term intervention PM2.5 incidence of asthma-related outcomes (hospitalizations, ED visits and symptom days), DALYs, monetized impacts significant cost-effectiveness in schools
Cooper et al. UK 2019 modeling study all-age population   HEPA residence long-term intervention PM2.5 mortality and life expectancy life expectancy increase
Liu et al. China 2016 modeling study all-age population the population of mainland China in 2016 HEPA residence 1 year intervention PM2.5 avoidable mortality under each intervention scenario (S1–S4) significant cost-effectiveness
Socolovsky et al. Boston, US school year modeling study students with asthma in urban schools 154 HEPA classroom 166 day evaluation period particulate air, Indoor allergens QALYs, healthcare utilization, costs significant cost-effectiveness
a

Abbreviations: HEPA, high-efficiency particulate air; HVAC system, heating, ventilation, and air conditioning system; PM2.5, particulate matter with an aerodynamic diameter ≤ 2.5 μm; PM10, particulate matter with an aerodynamic diameter ≤ 10 μm; PM1, particulate matter with an aerodynamic diameter ≤ 1 μm; UFP, ultrafine particles; BC, black carbon; VOC, volatile organic compounds; NO2, nitrogen dioxide; IQ, intelligence quotient; BMI, body mass index; MCV, mean corpuscular volume; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; ED, emergency department; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; IL-6, interleukin-6; TNF-RII, tumor necrosis factor receptor II; IgG, immunoglobulin G; IgA, immunoglobulin A; IgM, immunoglobulin M; TP, total protein; GLB, globulin; BDNF, brain-derived neurotrophic factor; DALYs, disability-adjusted life years; QALYs, quality-adjusted life years; PSQI, Pittsburgh sleep quality index; ISI, insomnia severity index; SRS, social responsiveness scale.

3.2. Respiratory Health Benefits from Indoor Air Pollution Reduction via an Air Purifier

Research investigating the respiratory effects of air purifier use has been extensively conducted across diverse populations, involving healthy individuals and those with respiratory diseases, to ascertain whether air purifier can serve as an adjunctive measure for symptom amelioration and disease management (detailed study characteristics shown in Tables and ).

2. Characteristics of Included Studies on Cardiopulmonary Systems .

author(s) study region study period study design study population sample size purifier type setting intervention duration pollutant(s) outcome(s) result(s)
Sun et al. Beijing, China 2017.12–2018.4 randomized double-blind crossover trial healthy adults 29 HEPA dormitory pollution waves, >2 week washout PM2.5 BP, FeNO, lung function, inflammatory cytokines, DNA methylation significant improvement
Wang et al. Beijing, China 2017.11–2018.4 randomized double-blind crossover trial healthy adults 54 HEPA dormitory 1 week per phase, 2 week washout PM2.5 BP, lung function, FeNO, circulating biomarkers of platelet activation and blood coagulation, systemic oxidative stress significant improvement
Zhao et al. Beijing, China 2017.11–2018.4 randomized double-blind crossover trial healthy adults 29 HEPA dormitory pollution waves, >2 week washout PM2.5 BP, lung function, FeNO, circulating biomarkers of platelet activation and blood coagulation, systemic oxidative stress significant improvement
Wang et al. Beijing, China 2017.11–2018.4 randomized double-blind crossover trial healthy adults 57 HEPA dormitory 1 week per phase, >2 week washout PAEs BP, lung function, FeNO, circulating biomarkers of platelet activation and blood coagulation, systemic oxidative stress significant improvement
Chen et al. Shanghai, China 2014 randomized double-blind crossover trial healthy adults 35 HEPA dormitory 48 h per phase, 2 week washout PM2.5 circulating biomarkers of inflammation, coagulation, and vasoconstriction, lung function, BP, FeNO significant improvement
Liu et al. Beijing, China 2018.6–2018.11 randomized double-blind crossover trial healthy adults 56 negative ion air purifier dormitory 1 week per phase, 2 week washout PM2.5 FeNO, FVC, FEV1, BP, augmentation index, PWV, neutrophils, malondialdehyde, 8-isoprostane no significant change
Weichenthal et al. Manitoba, Canada 2011 randomized double-blind crossover trial residents of a first nations community 37 electrostatic air purifier residence 1 week per phase, 1 week washout PM2.5, BaP, BTEX, NO2 lung function, BP, endothelial function significant improvement
Cui et al. Shanghai, China 2015.11.7–2015.12.13 randomized double-blind crossover trial healthy nonsmoking adults 70 HEPA dormitory 13 h per phase, 2 week washout PM2.5 lung function, FeCO, BP, augmentation index, subendocardial viability ratio, HR, PWV, inflammatory and coagulation factors, oxidative stress markers significant improvement
Dong et al. Beijing, China 2017.12–2018.3 cluster-randomized double-blind crossover trial healthy children 44 ionizing air purifier classroom 5 days per phase, 2 month washout PM, BC BP, HRV, HR, ST-segment elevation, FeNO, PEF, FEV1, MDA improved lung function reduced HRV
Liu et al. Beijing, China 2017.12–2018.3 cluster-randomized double-blind crossover trial healthy children 44 ionizing air purifier classroom 5 days per phase, 2 month washout PM, negative air ions HRV, HR, lung capacity, FeNO, urinary metabolome significant improvement
Guo et al. Chongqing, China 2020.1.6–2020.1.22 randomized double-blind crossover trial healthy elderly 24 HEPA room in aged-care center 2 days per phase, 12 day washout PM1, PM2.5, PM10 BP, HR, FeNO, lung function, biomarkers of inflammation, coagulation, and oxidative stress significant improvement
Shao et al. Beijing, China 2013.12–2014.3 randomized double-blind crossover trial nonsmoking elderly with/without COPD 35 HEPA living room, bedroom 2 weeks per phase, no washout PM2.5 HRV, BP, lung function, systemic inflammation and oxidative stress biomarkers no significant change
Karottki et al. Copenhagen, Denmark 2010.11–2011.5 randomized double-blind crossover trial nonsmoking adults 48 HEPA living room, bedroom 14 days per phase, no washout PM2.5 BP, microvascular function, lung function, CRP, total cholesterol, HDL, LDL, triglycerides no significant change
Zhang et al. Kaohsiung, China 2020–2023 randomized double-blind crossover trial patients with asthma 65 PCO, filter air cleaner living room 2 weeks per phase, 2 week washout PM1, PM2.5, PM4, PM10, TSP, UFP, TVOC, NO2, SO2, CO, CO2 lung function, FeNO, respiratory symptoms, BP no significant change
Day et al. Changsha, China 2014.12.1–2015.1.31 randomized double-blind parallel-group trial office workers 86 HEPA, ESP office, dormitory 5 week intervention PM2.5, O3 biomarkers of oxidative stress, systemic inflammation, lung function, BP, PWV, SEVR, vWF HEPA: no significant change ESP-HEPA: adverse effect
a

Abbreviations: HEPA, high-efficiency particulate air; PCO, photocatalytic oxidation; ESP, electrostatic precipitator; PM2.5, particulate matter with an aerodynamic diameter ≤ 2.5 μm; PM10, particulate matter with an aerodynamic diameter ≤ 10 μm; PM1, particulate matter with an aerodynamic diameter ≤ 1 μm; PM4, particulate matter with an aerodynamic diameter ≤ 4 μm; PM, particulate matter; PAEs, phthalic acid esters; BaP, benzo­[a]­pyrene; BTEX, benzene, toluene, ethylbenzene, and xylenes; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide; CO2, carbon dioxide; O3, ozone; BC, black carbon; TSP, total suspended particulates; UFP, ultrafine particles; TVOC, total volatile organic compounds; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 s; PEF, peak expiratory flow; FeNO, fraction of exhaled nitric oxide; FeCO, fraction of exhaled carbon monoxide; BP, blood pressure, HR, heart rate, HRV, heart rate variability; PWV, pulse wave velocity, SEVR, subendocardial viability ratio; vWF, von Willebrand factor; MDA, malondialdehyde; CRP, C-reactive protein; HDL, high-density lipoprotein; LDL, low-density lipoprotein; COPD, chronic obstructive pulmonary disease.

3.2.1. Effect of Air Purifiers on Respiratory Health among Populations with Respiratory Diseases

Compelling evidence from numerous RCTs confirms that air purification is an effective adjunctive therapy for individuals with conditions, such as asthma, COPD, and allergic rhinitis. − The majority of these studies, spanning various global regions and intervention durations, have consistently demonstrated that reducing indoor pollutants and allergens leads to measurable clinical improvements in both children and adults. − ,,,,− The evidence of the benefits of air purification is particularly robust in the context of childhood asthma. Numerous RCTs, primarily conducted in the United States, have documented significant clinical improvement. A landmark year-long trial demonstrated that interventions in children with atopic asthma led to fewer symptomatic days and substantial reductions in home allergen levels. Analogous positive findings on asthma control have been consistently reported in a large body of other US-based research, ,,,,,,, with comparable benefits also observed in studies from The Netherlands, South Korea, Cyprus, and Greece. Similarly, interventions in adults with respiratory diseases have yielded similar positive results. For example, a randomized, placebo-controlled trial in the Netherlands involving allergic asthma patients demonstrated that air purifier use improved airway hyperresponsiveness and increased forced expiratory volume. These general benefits for adults with respiratory conditions have been further corroborated by RCTs conducted in China, France, the US, and the UK. Some studies also suggested that these benefits extend across the lifespan. ,

However, these health benefits were not uniform across all measured outcomes, suggesting a complex interplay of pathophysiological pathways. − ,,,− For instance, a 6 month intervention study in China improved clinical asthma control test scores in children but had no significant effect on FeNO levels. Three RCTs conducted among former smokers with diagnosed COPD in a US region also indicated that although an air purifier reduced PM2.5 concentrations and yielded clinically significant respiratory health improvements, , it did not significantly alter biomarkers of systemic inflammation, platelet activation, endothelial dysfunction, or oxidative stress. Conversely, an RCT in China found that a two week intervention led to significant improvements in FeNO and peak expiratory flow yet failed to produce significant changes in other lung function parameters such as FEV1, FVC, or the FEV1/FVC ratio. These findings may suggest that the pathophysiological mechanisms underlying these improvements involve multiple independent pathways.

Furthermore, a minority of RCTs reported no significant respiratory health benefits. ,,,− These null findings may be attributable to methodological limitations in earlier studies, such as suboptimal purification technology; ,,, meanwhile, other trials may have been impacted by uncontrolled confounding factors, with one study specifically identifying the COVID-19 pandemic as a potential contributor.

3.2.2. Effect of Air Purifiers on Respiratory Health among the Healthy Population

Several studies have investigated the effects of air purifier use on respiratory function and biomarkers in healthy populations, further employing omics to investigate the biological mechanisms linking pollutant reduction to health improvements. − The most consistent evidence for respiratory benefits originates from studies conducted in China, across both adult and child populations. A large body of trials focusing on healthy young adults have demonstrated that even short-term air purification can significantly improve lung function and reduce biomarkers of airway inflammation and oxidative stress. − ,,, For example, a randomized, double-blind crossover trial in Shanghai found that short-term air purification was significantly associated with reductions in several circulating inflammatory biomarkers, including interleukin-1β (IL-1β; −68.1%), myeloperoxidase (−32.8%) and soluble CD40 ligand (sCD40L; −64.9%), as well as FeNO (−17.0%). Other studies using metabolomics have further suggested that by mitigating PM2.5 exposure, air purification may reverse disturbances in energy metabolism and inflammatory responses impacting respiratory health. , This positive trend extends to healthy children, with a few RCTs showing significant improvements in lung function and biomarkers of oxidative stress and inflammation after both short- and long-term interventions. , However, this largely positive picture is not without exception; one study using a negative ion purifier in adults found no net health benefit, a finding attributed to potential offsetting effects from the technology’s byproducts.

In contrast, findings from other geographical regions are inconsistent. A trial in Canada involving healthy adults reported significant increases in FEV1 and PEFR, while two RCTs in Japan observed no significant respiratory benefits in adults, , and a US-based trial that recruited young children from homes with wood-burning stoves found no significant reduction in the rates of lower respiratory tract infections. This heterogeneity highlights that the efficacy of air purification in healthy individuals may be strongly influenced by regional differences in environmental factors, population characteristics, and specific exposure contexts. Furthermore, emerging technologies such as NTP purifiers have shown promise in reducing the incidence and symptoms of upper respiratory tract infections in office settings, suggesting a potential role in inactivating airborne pathogens.

3.3. Cardiovascular Health Benefits from Indoor Air Pollution Reduction via an Air Purifier

Evidence on the cardiovascular benefits of air purifiers is substantial but mixed. While a clear majority of trials, particularly in healthy young adults, report positive outcomes, a minority have documented inconsistent or null findings. Furthermore, for vulnerable groups, such as children and older adults, the evidence remains scarce and often contradictory (detailed study characteristics are shown in Tables and ).

3. Characteristics of Included Studies on Cardiovascular Systems .

author(s) study region study period study design study population sample size purifier type setting intervention duration pollutant(s) outcome(s) result(s)
Lyu et al. Beijing, China 2020.10–2020.11 randomized double-blind crossover trial healthy adults 20 HEPA print shop 7 days per phase, 14 day washout printing shop particles HRV significant improvement
Xia et al. Xi’an, China 2020.6–2020.8 randomized double-blind crossover trial healthy adults 38 HEPA dormitory 36 h per phase, 7 day washout PM1, PM2.5, PM10 BP, blood oxygen saturation, HRV significant improvement
Chen et al. Shanghai, China 2014 randomized double-blind crossover trial healthy adults 35 HEPA dormitory 48 h per phase, 2 week washout PM2.5 DNA methylation, circulating biomarkers significant improvement
Li et al. Shanghai, China 2015.11–2015.12 randomized double-blind crossover trial healthy adults 55 HEPA dormitory 9 days per phase, 12 day washout PM2.5 cortisol, cortisone, epinephrine, norepinephrine significant improvement
Chen et al. Shanghai, China 2015.11–2015.12 randomized double-blind crossover trial healthy adults 55 HEPA dormitory 9 days per phase, 12 day washout PM2.5 markers of inflammation, coagulation, and vasoconstriction significant improvement
Li et al. Shanghai, China 2015.11–2015.12 randomized double-blind crossover trial healthy adults 36 HEPA dormitory 9 days per phase, 12 day washout PM2.5 DNA methylation significant improvement
Wen et al. Beijing, China 2017.11–2018.4 randomized double-blind crossover trial healthy adults 54 HEPA dormitory 1 week per phase, 2 week washout PM2.5 inflammatory markers significant improvement
Allen et al. British Columbia, Canada 2008.11–2009.4 randomized double-blind crossover trial healthy adults 45 HEPA main living room, bedroom 7 days per phase, no washout PM2.5 microvascular endothelial function, CRP, IL-6, MDA, 8-isoprostane improved endothelial function reduced inflammatory biomarkers
Kajbafzadeh et al. Vancouver, Canada 2011.12–2012.8 randomized double-blind crossover trial healthy adults 68 HEPA living room, bedroom 7 days per phase, no washout PM2.5 CRP, IL-6, circulating endothelial cells reduced CRP
Chen et al. Northern Taiwan, China 2017–2019 randomized crossover trial healthy adults 86 CO2 filtration system in-vehicle 3 modes (control, closed, open), each separated by one month CO2 HR, BP, drowsiness significant improvement
Chuang et al. Taipei, China 2013.1.1–2014.12.31 randomized double-blind crossover trial healthy adults 200 HEPA living room, bedroom 1 year per phase, no washout PM2.5, VOC BP, CRP, 8-OHdG, fibrinogen significant improvement
Padró-Martinez et al. Somerville, US 2011.2–2012.11 randomized double-blind crossover trial adults with a history of disease 20 HEPA living room 21 days per phase, no washout UFP CRP, IL-6, TNF-RII, fibrinogen reduced IL-6
Li et al. Mengzhou, China 2021.4–2021.12 randomized crossover trial healthy children 79 HEPA classroom, bedroom 76 days per phase, 88 day washout PM2.5 BP, HR significant improvement
Guo et al. Chongqing, China 2020 randomized double-blind crossover trial elderly people 24 HEPA room in aged-care center 48 h per phase, 12 day washout PM1, PM2.5, PM10 BP, HR improved HR
Liu et al. Beijing, China 2013.12–2014.3 randomized double-blind crossover trial elderly people 35 HEPA living room, bedroom 2 weeks per phase, no washout PM2.5, BC 12h HRV, ABPM significant improvement
Bräuner et al. Copenhagen, Denmark 2006.4.3–2006.4.7 randomized double-blind crossover trial healthy nonsmoking elderly 41 HEPA living room, bedroom 48 h per phase, no washout UFP, PM2.5, PM2.5–10 MVF, BP, hemoglobin, erythrocytes, platelets, coagulation factors, P-selectin, serum amyloid A, CRP, fibrinogen, IL-6, TNF-α, malondialdehyde, urinary 8-iso-PGF2α improved MVF
Morishita et al. Detroit, US 2014.10.21–2016.11.4 randomized double-blind crossover trial nonsmoking adults 40 HEPA bedroom, main living room 3 days per phase, 1 week washout PM2.5 BP, aortic hemodynamics, PWV, HRV improved BP
Chen et al. Beijing, China 2013.12–2014.3 randomized double-blind crossover trial nonsmoking elderly 35 HEPA living room, bedroom 2 weeks per phase, no washout PM2.5, BC biomarkers of myocardial injury significant improvement
Liu et al. Beijing, China 2018.12.16–2019.6.21 randomized double-blind crossover trial patients with stable CAD 24 HEPA main family activity space 3 days per phase, > 14 day washout PM2.5 inflammation and coagulation markers, plaque stability, lipids significant improvement
Eom et al. Cheongju and Daejeon, Korea 2020.11–2021.2 randomized double-blind crossover trial patients with CAD 38 HEPA living room 2 weeks per phase, 2 week washout PM2.5 BP, HRV, baroreflex sensitivity, autonomic function tests, endothelial function significant improvement
Zhou et al. Beijing, China 2022 randomized double-blind crossover trial office workers 40 HEPA office 1 day (5 h) per phase, no washout PM2.5 HRV, cognitive tests, electrodermal activity significant improvement
Xia et al. Hong Kong, China 2017.11–2020.12 randomized parallel-group trial elderly people 47 HEPA main activity room 1 year intervention PM2.5 BP, FMD, carotid intima-media thickness significant improvement
Lin et al. Taipei, China 2009.3–2009.10 randomized crossover trial healthy adults 60 HEPA residence two intervention periods (25 days each period) PM2.5, VOCs BP, HR significant improvement
Raju et al. Baltimore, US 2014.4–2019.1 randomized parallel-group trial former smokers with moderate-to-severe COPD 85 HEPA living room, bedroom 6 month intervention PM2.5, PM10, PM2.5–10, UFP 24 h ambulatory HRV improved RMSSD
Ahuja et al. Rohtak, India 2023.11–2024.1 randomized crossover trial females of an old age home 29 HEPA room in aged-care center 2 weeks per phase, no washout PM2.5, PM10 BP, PWV, CRP, 8-oxo-DG significant improvement
Arya et al. Rohtak, India 2023.11–2024.1 randomized crossover trial male children of an orphanage 32 HEPA dormitory 2 weeks per phase, no washout PM2.5, PM10 BP, PR, CRP, PWV, 8-oxo-DG significant improvement
Brugge et al. Massachusetts, US 2020–2024 randomized crossover trial adults living near major highways 154 HEPA living room, bedroom 1 month per phase, 1 month washout PM2.5, UFP BP significant improvement
Young et al. Seattle, US 2014–2016 randomized double-blind crossover trial normotensive adults 13 in-vehicle HEPA filtration in-vehicle 2 h drives per phase, ≥ 3 week washout PM2.5, BC, PNC BP, central retinal arteriolar equivalents improved SBP
Hudda et al. Boston and Somerville, US   randomized double-blind crossover trial adults 77 HEPA room near highway 2 h per phase, 1 week washout PNC, BC BP, HR improved SBP
a

Abbreviations: HEPA, high-efficiency particulate air; PM2.5, particulate matter with an aerodynamic diameter ≤ 2.5 μm; PM10, particulate matter with an aerodynamic diameter ≤ 10 μm; PM1, particulate matter with an aerodynamic diameter ≤ 1 μm; PM2.5–10, particulate matter with an aerodynamic diameter between 2.5 and 10 μm; UFP, ultrafine particles; BC, black carbon; PNC, particle number concentration; VOC, volatile organic compounds; CO2, carbon dioxide; BP, blood pressure; SBP, systolic blood pressure; HR, heart rate; PR, pulse rate; HRV, heart rate variability; RMSSD, root-mean-square of successive difference; ABPM, ambulatory blood pressure monitoring; PWV, pulse wave velocity; MVF, microvascular function; FMD, flow-mediated dilation; CAD, coronary artery disease; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; IL-6, interleukin-6; TNF-α, tumor necrosis factor-α; TNF-RII, tumor necrosis factor receptor II; MDA, malondialdehyde; 8-OHdG, 8-hydroxy-2′-deoxyguanosine; 8-oxo-DG, 8-oxo-7,8-dihydro-2′-deoxyguanosine; 8-iso-PGF2α, 8-iso-prostaglandin F2α.

3.3.1. Effect of Air Purifiers on Cardiovascular Health among Healthy Populations

Among healthy young populations, a strong consensus of positive outcomes has emerged, particularly from studies conducted in China. These trials consistently demonstrated that air purifier use can significantly lower blood pressure (BP) ,,,, and increase heart rate variability (HRV). , Mechanistic investigations have further illuminated the biological pathways that may underpin these clinical improvements. These mechanistic studies have assessed the impact of air purification by measuring changes in a range of well-established targeted biomarkers before and after the intervention. These biomarkers are typically associated with systemic inflammation, oxidative stress, endothelial function, and coagulation, such as C-reactive protein (CRP), 8-hydroxy-2′-deoxyguanosine (8-OHdG), interleukin-6 (IL-6), and tumor necrosis factor alpha (TNF-α). The evidence from these trials suggests that air purification may improve cardiovascular health by mitigating proinflammatory and oxidative responses, reducing endothelial damage, and modulating hormonal axes. ,,,,,− Furthermore, some omics studies indicate that air purification can reverse short-term, PM2.5-induced disruptions in broader metabolic pathways and epigenetic modifications related to cardiovascular health. ,,− For example, four randomized crossover double-blind trials conducted in the same Chinese population demonstrated that short-term PM2.5 exposure adversely affected cardiovascular metabolic health by disrupting metabolic pathways, activating stress response systems, regulating miRNA-cytokine networks, and inducing abnormal DNA methylation. These findings provide multilevel evidence from metabolic phenotypes to epigenetic modifications, illuminating the biological mechanisms through which PM2.5 contributes to cardiovascular diseases. ,,, Further extending this evidence, a 3 month intervention in 40 Korean housewives demonstrated that air purification could also mitigate PM2.5-associated reductions in hemoglobin and mean corpuscular hemoglobin concentration (MCHC), suggesting a potential role in reducing the risk of anemia.

3.3.2. Effect of Air Purifiers on Cardiovascular Health among Vulnerable Populations

For children, evidence is emerging but inconsistent. An RCT in an Indian orphanage demonstrated that HEPA filtration during sleep time significantly reduced BP, pulse wave velocity (PWV), and biomarkers of inflammation and DNA damage. Similarly, a study in a high-pollution region of China (Jiaozuo) found that after more than two months of classroom and bedroom air purification intervention, children’s pulse pressure (PP) was notably reduced (−3.44 mmHg, 95% confidence interval: −8.12, −0.11). Conversely, another RCT in Beijing school classrooms did not observe improvements in HRV; instead, a negative effect was found. Subsequent urinary metabolomics analysis suggested that while PM reduction was beneficial, coemitted negative ions from the ionization purifier counteracted these positive effects through different metabolic pathways. The evidence from studies in children remains insufficient to further confirm the potential cardiovascular benefits of air purifier use, necessitating more research conducted in other regions for further validation.

For older adults, the findings are similarly heterogeneous. While most RCTs from China consistently reported improved cardiovascular health outcomes across various subgroups, − a study using PCO and filtration purifiers showed that despite reductions in indoor concentrations of multiple pollutants, there was no significant improvement in BP levels. Besides, studies from the US, Denmark, South Korea and India have presented a more complex picture. For example, some US-based trials found benefits in certain parameters like SBP or RMSSD but not in others like aortic hemodynamics or cardiovascular-related inflammatory markers. Similarly, studies in Denmark and South Korea reported either conflicting conclusions , or benefits limited to specific markers like baroreflex sensitivity rather than BP. However, a crossover study conducted in India found that a 2 week HEPA intervention significantly lowered SBP, PWV, CRP, and 8-oxo-2′-deoxyguanosine (8-oxo-DG). These discrepancies may be related to differences in intervention duration and baseline pollution levels across study regions, but other unobserved factors were also likely to influence the results.

Furthermore, a critical and growing body of evidence addresses populations exposed to traffic-related air pollution (TRAP). A pragmatic randomized crossover trial among adults living near major highways in the US found that air filtration resulted in a clinically significant SBP reduction in individuals with elevated baseline SBP (≥120 mmHg), even in environments with relatively low PM2.5 concentrations. Complementing this, another RCT showed that reducing indoor TRAP concentrations with HEPA filters prevented acute, dose-dependent increases in SBP over a 2 h period. Besides, Young et al. found that in-vehicle HEPA filtration mitigated the adverse effects of TRAP on BP at 1 and 24 h postexposure.

3.4. Benefits of Neurocognitive and Children Development from Indoor Air Pollution Reduction via an Air Purifier

As emerging studies have gradually revealed associations between air pollution and neurodevelopment, cognitive performance, and academic achievement, some research has begun to explore whether improving air quality can benefit neurodevelopmental processes or enhance cognitive-behavioral abilities. Current studies primarily focus on children and adolescents, who are in critical developmental stages and thus are more vulnerable to environmental risks (detailed study characteristics are shown in Table ).

3.4.1. Effect of Air Purifiers on Neurocognitive Health and Development among Children and Adolescents

Allen and colleagues conducted the “Ulaanbaatar Gestation and Air Pollution Research” (UGAAR) study in Mongolia, investigating the multifaceted effects of prenatal air purifier use on fetal development and subsequent child outcomes. Utilizing a parallel controlled design, the study tracked pregnant women using true or sham air purifiers and compared their offspring across multiple domains, including cognitive development and performance, BMI, autistic behaviors, behavioral problem scores, and fetal growth, to assess potential prenatal health benefits. The study revealed that reducing prenatal PM2.5 exposure via air purification promoted child brain development, and improved cognitive ability at age four. Such interventions also increased birth weight in full-term infants, and potentially improved childhood cardiometabolic health. However, the overall impact on childhood autism-related behavior scores was limited, with no significant effect on behavioral problem scores. Additionally, air purification intervention trials in schools across Spain, Denmark, and Sweden showed that despite significant reductions in indoor pollutants, short-term purification did not affect attention function, academic performance, and environmental perception in children and adolescents. It is postulated that the intervention duration may have been too brief or that the intervention did not occur during the critical early prenatal period, precluding observation of potential benefits. Conversely, a two year purification intervention found that reducing airborne particulate levels significantly decreased the rate of illness-related absenteeism by 55% among children in two large Swedish daycare centers.

3.4.2. Effect of Air Purifiers on Neurocognitive Health among Adults

Limited research has also focused on cognitive performance and sleep in healthy adults using air purifiers. Four RCTs from China consistently demonstrated that short-term air purification enhanced exam scores, significantly improved cognitive performance, , with particular benefits observed in the memory domain. Mediation analyses indicated that the neurotoxicity of particulate matter may impair cognitive processing speed via oxidative stress pathways, enhance information processing speed and reduce error rates in executive function, and potentially impact cognitive processing efficiency through the “cardio–pulmonary–brain axis” mechanisms mediated by the autonomic nervous system. Further multiomics evidence confirms that air purification can counteract PM2.5-induced cognitive impairment linked to hypoxia, mitochondrial dysfunction, and impaired immune responses.

Beyond cognitive improvements, an RCT in the UK showed that short-term (2 week) home air purification improved nocturnal sleep duration and total time in bed, although no significant improvement in sleep efficiency was observed. Notably, this effect was only apparent when the experimental group received the “sham-purifier” sequence first, suggesting that future research in this area should consider incorporating appropriate adaptation phases.

3.5. Cost-Benefit Analysis of Air Purification and Associated Health Benefits

Several modeling studies have systematically examined the aggregate health benefits and economic feasibility of air purifier deployment, primarily in China, the US, and the UK (Table ). These analyses consistently conclude that air purification is an economically viable public health intervention with health-related economic benefits often substantially outweighing implementation costs, particularly when high-efficiency filtration is used.

Key findings from studies in China project that widespread air purifier implementation could avert tens of thousands of premature deaths and millions of DALYs annually. , Similarly, analyses from the US and UK indicate that enhancing air filtration in residential, school, and commercial buildings could significantly reduce PM-related mortality and asthma burdens while increasing national life expectancy by a cumulative 23 million life-years gained over a lifetime. − A consistent theme across these studies is that the net monetary benefit is greatest under moderate pollution reduction targets and that interventions in schools may offer superior cost-effectiveness compared to residential settings. , However, the cost-benefit calculus is not universally positive and depends heavily on the context. For instance, an analysis of filtration interventions during wildfire events in Southern California found that while they effectively reduced hospitalizations and deaths, the full implementation costs could exceed the economic savings from averted hospitalizations. In such acute scenarios, the intervention only became cost-effective when accounting for the economic value of averted mortality, particularly when targeted at vulnerable populations, such as the elderly. This highlights the critical need for further research to identify optimal cost-benefit ratios and target populations to maximize the public-health impact of air purification strategies.

4. Limitation, Challenge, and Prospect

Although air purifiers demonstrate considerable promise, their translation into a globally effective public health tool is impeded by significant gaps in scientific evidence and formidable real-world barriers to their implementation. Overcoming these interconnected obstacles is essential to realizing the full potential of this technology and achieving tangible health gains.

A primary limitation is the unbalanced composition of the current evidence base. The vast majority of existing research originates from urban settings in middle- and high-income countries. However, recent research has begun to address this gap. Specifically, Ahuja et al. and Arya et al. provide crucial evidence from northern India, demonstrating significant cardiovascular benefits for both elderly and pediatric populations in an environment with hazardous PM2.5 levels. These studies validate the efficacy of air purifiers in some of the world’s most polluted regions. Despite this progress, a critical knowledge gap remains concerning their feasibility and long-term effectiveness in diverse low-income and rural populations globally. Future research must continue to strategically prioritize these vulnerable groups to generate context-specific evidence where the potential public health impact is greatest. This need is further underscored by substantial geographic and socioeconomic disparities that limit the global representativeness of the current evidence base. The majority of included studies are concentrated in East Asia, North America, and Europe, with a notable lack of robust interventional data from low- and middle-income countries, particularly in Africa. Given the high burden of household air pollution in these regions, future epidemiological research should prioritize these underrepresented settings to inform equitable and context-specific public health interventions.

The field is further challenged by a lack of methodological uniformity. Profound heterogeneity across study designs (including wide variations in intervention durations, purifier technologies, and assessed health outcomes) complicates the synthesis of findings and hinders direct comparisons. This situation highlights an urgent need for the development of standardized research protocols. An essential consideration in developing these protocols is the recognition of seasonal variability, which can inherently confound the efficacy of indoor air filtration. Ventilation behaviors usually vary across seasons, such as the practice of sealing windows during winter heating periods and the reliance on air conditioning systems during summer. This heterogeneity significantly alters the air exchange rate. Future long-term interventions should consider monitoring window-opening behaviors or stratifying health outcomes by season to accurately assess purification efficacy. Moreover, the research agenda must evolve to rigorously evaluate emerging technologies beyond HEPA filtration. For instance, the recent trial on NTP suggests a promising avenue for reducing respiratory infection incidence in office settings. However, such novel technologies require thorough investigation into their long-term effectiveness and safety profiles to ensure they do not introduce harmful byproducts, a known concern with older ionization technologies. The establishment of rigorous, universal standards for safety and performance, including clear metrics like the clean air delivery rate (CADR), remains essential for all purifier types. Furthermore, the research agenda should also expand to quantitatively evaluate the benefits of reducing other hazardous indoor pollutants, notably formaldehyde. To inform effective public health guidance, future research and implementation strategies must emphasize the critical role of device sizing and spatial placement. The CADR of a purifier must be appropriately matched to the volume of the room. If a device is undersized for the space, the air exchange rate will be insufficient, which reduces the overall effectiveness of the intervention regardless of manufacturer-specified CADR. Optimal device placement is also critical for maximizing health benefits. Devices should be used in areas of prolonged occupancy (e.g., bedrooms) and positioned centrally without obstructions to ensure effective air circulation. Future trials and guidelines should report room volume relative to CADR, standardize placement, and offer evidence-based recommendations on device sizing. Furthermore, a critical yet frequently overlooked physical limitation of air purifier interventions is acoustic disturbance. Chronic exposure to such nocturnal noise is a well-documented environmental stressor that can induce sleep fragmentation and autonomic arousal. , Consequently, this acoustic burden may attenuate the cardiovascular and neurocognitive benefits derived from improved air quality. Furthermore, noise-induced annoyance also severely compromises long-term intervention adherence. In real-world settings, users frequently downgrade the fan to “sleep” or “low-speed” modes to mitigate noise. This behavioral adaptation significantly decreases effective CADR, which consequently reduces the overall purification efficiency and may compromise the intended health benefits of the intervention. Future field trials should incorporate objective acoustic monitoring and evaluate the net clinical benefit of these devices under tolerable noise thresholds. Even with a robust evidence base, widespread adoption is obstructed by significant socioeconomic and behavioral hurdles that threaten to widen health inequities. The high initial and maintenance costs of quality devices create a steep accessibility gradient, marginalizing the populations most susceptible to air pollution. A comprehensive strategy is required to dismantle these barriers. Supportive policy initiatives, such as targeted subsidies, are vital for ensuring equitable access. Simultaneously, sustained investment in technological innovation can help lower costs and enhance efficiency. These efforts must be complemented by large-scale public health education programs designed to improve awareness and promote consistent use, ultimately paving the way for broader and more impactful implementation. Finally, the synthesis of current evidence might be subject to publication bias. Therefore, findings should be interpreted with caution.

5. Conclusions

Air purifiers, particularly those with HEPA filtration, have been demonstrated to have measurable benefits on respiratory and cardiovascular health and represent a promising, cost-effective strategy to mitigate the health burden of indoor air pollution. However, their potential has not been fully realized due to challenges related to access, adoption, and technological limitations. Future research and supportive policies are needed to address these challenges, thereby enhancing effectiveness and ensuring equitable health benefits, especially for vulnerable populations.

Acknowledgments

This work was supported by the Noncommunicable Chronic DiseasesNational Science and Technology Major Project (2024ZD0529300), the National Natural Science Foundation of China (82430105), Shanghai Municipal Science and Technology Major Project (2023SHZDZX02), and the Shanghai Sailing Program (24YF2706700).

Data will be made available on request.

X.X. and Y.J.: data curation, visualization, and writing-original draft; W.Q.: visualization, and writing-review and editing; R.C.: supervision, and writing-review and editing; and H.K.: conceptualization, supervision, funding acquisition, and writing-review and editing. X.X. and Y.J. are cofirst authors.

The authors declare the following competing financial interest(s): W.Q. is an employee of Amway (China) Co., Limited, a company that manufactures air purification products. Amway had no role in the study design, data collection, analysis, interpretation, or the decision to publish. The remaining authors declare no competing financial interest.

References

  1. Huang W., Li S., Guo Y.. Enduring Public Health Challenge: Air Pollution and the Potential Dominant Risks of Particulate Matter. Environ. Health (Wash). 2024;2(1):1–2. doi: 10.1021/envhealth.3c00185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Liu L., Zeng Y., Ji J. S.. Real-World Evidence of Multiple Air Pollutants and Mortality: A Prospective Cohort Study in an Oldest-Old Population. Environ. Health (Wash). 2024;2(1):23–33. doi: 10.1021/envhealth.3c00106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. GBD 2023 Disease and Injury and Risk Factor Collaborators. Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. Lancet. 2025;406(10513):1873–1922. doi: 10.1016/S0140-6736(25)01637-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Yan M., Gong J., Duan X., He L., Liu Q., Lin W., Cao S., Wang M., Kipen H., Kan H.. et al. Children’s Lung Function Was Lower in 2017–2018 than in 1995–1996: The Roles of Air Quality Change and Individual-Level Risk Factors. Environ. Health (Wash). 2025;3(6):659–668. doi: 10.1021/envhealth.4c00221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Klepeis N. E, Nelson W. C, Ott W. R, Robinson J. P, Tsang A. M, Switzer P., Behar J. V, Hern S. C, Engelmann W. H. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants. J. Expo. Anal. Environ. Epidemiol. 2001;11(3):231–252. doi: 10.1038/sj.jea.7500165. [DOI] [PubMed] [Google Scholar]
  6. Gao F., Guo Q., Wang B., Cao S., Qin N., Zhao L., Jia C., Duan X.. Distributions and determinants of time spent outdoors among school-age children in China. J. Expo Sci. Environ. Epidemiol. 2022;32(2):223–231. doi: 10.1038/s41370-021-00401-w. [DOI] [PubMed] [Google Scholar]
  7. Mishra N. K., Patel S.. Need for a Holistic Approach to Assessing Sustainable, Green, and Healthy Buildings. Environ. Health (Wash). 2025;3(3):218–226. doi: 10.1021/envhealth.4c00161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Weschler C. J.. Changes in indoor pollutants since the 1950s. Atmos. Environ. 2009;43(1):153–169. doi: 10.1016/j.atmosenv.2008.09.044. [DOI] [Google Scholar]
  9. Logue J. M., Price P. N., Sherman M. H., Singer B. C.. A method to estimate the chronic health impact of air pollutants in U.S. residences. Environ. Health Perspect. 2012;120(2):216–222. doi: 10.1289/ehp.1104035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Landrigan P. J., Fuller R., Acosta N. J. R., Adeyi O., Arnold R., Basu N. N., Baldé A. B., Bertollini R., Bose-O’Reilly S., Boufford J. I.. et al. The Lancet Commission on pollution and health. Lancet. 2018;391(10119):462–512. doi: 10.1016/S0140-6736(17)32345-0. [DOI] [PubMed] [Google Scholar]
  11. Ahluwalia S. K., Matsui E. C.. The indoor environment and its effects on childhood asthma. Curr. Opin Allergy Clin Immunol. 2011;11(2):137–143. doi: 10.1097/ACI.0b013e3283445921. [DOI] [PubMed] [Google Scholar]
  12. Shah S., Kim E., Kim K.-N., Ha E.. Can individual protective measures safeguard cardiopulmonary health from air pollution? A systematic review and meta-analysis. Environ. Res. 2023;229:115708. doi: 10.1016/j.envres.2023.115708. [DOI] [PubMed] [Google Scholar]
  13. Liberati A., Altman D. G., Tetzlaff J., Mulrow C., Gotzsche P. C., Ioannidis J. P. A., Clarke M., Devereaux P. J., Kleijnen J., Moher D.. The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. Ann. Int. Med. 2009;151(4):W-65–W94. doi: 10.7326/0003-4819-151-4-200908180-00136. [DOI] [PubMed] [Google Scholar]
  14. Page M. J., McKenzie J. E., Bossuyt P. M., Boutron I., Hoffmann T. C., Mulrow C. D., Shamseer L., Tetzlaff J. M., Akl E. A., Brennan S. E.. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi: 10.1136/bmj.n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Li L., Zhang L., Mo J.-H., Li Y.-Y., Xia J.-Y., Bai X.-B., Xie P.-F., Liang J.-Y., Yang Z.-F., Chen Q.-Y.. Efficacy of indoor air purification in the treatment of Artemisia pollen-allergic rhinitis: A randomised, double-blind, clinical controlled trial. Clinical Otolaryngology. 2020;45(3):394–401. doi: 10.1111/coa.13514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Gherasim A., Jacob A., Schoettel F., Domis N., de Blay F.. Efficacy of air cleaners in asthmatics allergic to cat in ALYATEC® environmental exposure chamber. Clin. Exp. Allergy. 2020;50(2):160–169. doi: 10.1111/cea.13511. [DOI] [PubMed] [Google Scholar]
  17. van der Heide S., Kauffman H. F., Dubois A. E. J., de Monchy J. G. R.. Allergen reduction measures in houses of allergic asthmatic patients: Effects of air-cleaners and allergen-impermeable mattress covers. Eur. Respir. J. 1997;10(6):1217–1223. doi: 10.1183/09031936.97.10061217. [DOI] [PubMed] [Google Scholar]
  18. Khadar B. T. S. A., Sim J., McDonald V. M., McDonagh J., Clapham M., Mitchell B. G.. Air Purifiers and Acute Respiratory Infections in Residential Aged Care A Randomized Clinical Trial. JAMA Netw. Open. 2024;7(11):e2443769. doi: 10.1001/jamanetworkopen.2024.43769. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Fawzy A., Woo H., Raju S., Belz D. C., Putcha N., Williams M. S., McCormack M. C., Kohler K., Hansel N. N.. Indoor particulate matter concentrations and air cleaner intervention association with biomarkers in former smokers with COPD. Environ. Res. 2024;243:117874. doi: 10.1016/j.envres.2023.117874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Woo H., Koehler K., Putcha N., Lorizio W., McCormack M., Peng R., Hansel N. N.. Principal stratification analysis to determine health benefit of indoor air pollution reduction in a randomized environmental intervention in COPD: Results from the CLEAN AIR study. Sci. Total Environ. 2023;868:161573. doi: 10.1016/j.scitotenv.2023.161573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Hansel N. N., Putcha N., Woo H., Peng R., Diette G. B., Fawzy A., Wise R. A., Romero K., Davis M. F., Rule A. M.. et al. Randomized Clinical Trial of Air Cleaners to Improve Indoor Air Quality and Chronic Obstructive Pulmonary Disease Health Results of the CLEAN AIR Study. Am. J. Respir. Crit. Care Med. 2022;205(4):421. doi: 10.1164/rccm.202103-0604OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Luo J.-Y., Zhao C., Guo J.-J., Guo Z.-J., Lan X., Sun B.-Q.. Efficacy of air purifier therapy in allergic rhinitis. Asian Pacific J. Allergy Immunol. 2018;36(4):217–221. doi: 10.12932/AP-010717-0109. [DOI] [PubMed] [Google Scholar]
  23. Lee G. H., Kim J. H., Kim S., Lee S., Lim D. H.. Effects of Indoor Air Purifiers on Children with Asthma. Yonsei Med. J. 2020;61(4):310–316. doi: 10.3349/ymj.2020.61.4.310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Gent J. F., Holford T. R., Bracken M. B., Plano J. M., McKay L. A., Sorrentino K. M., Koutrakis P., Leaderer B. P.. Childhood asthma and household exposures to nitrogen dioxide and fine particles: a triple-crossover randomized intervention trial. J. Asthma. 2023;60(4):744–753. doi: 10.1080/02770903.2022.2093219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. van der Heide S., van Aalderen W. M. C., Kauffman H. F., Dubois A. E. J., de Monchy J. G. R.. Clinical effects of air cleaners in homes of asthmatic children sensitized to pet allergens. J. Allergy Clin. Immunol. 1999;104(2):447–451. doi: 10.1016/S0091-6749(99)70391-X. [DOI] [PubMed] [Google Scholar]
  26. Cui X., Li Z., Teng Y., Barkjohn K. K., Norris C. L., Fang L., Daniel G. N., He L., Lin L., Wang Q.. et al. Association Between Bedroom Particulate Matter Filtration and Changes in Airway Pathophysiology in Children With Asthma. JAMA Pediatr. 2020;174(6):533–542. doi: 10.1001/jamapediatrics.2020.0140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Sulser C., Schulz G., Wagner P., Sommerfeld C., Keil T., Reich A., Wahn U., Lau S.. Can the Use of HEPA Cleaners in Homes of Asthmatic Children and Adolescents Sensitized to Cat and Dog Allergens Decrease Bronchial Hyperresponsiveness and Allergen Contents in Solid Dust? Int. Arch. Allergy Immunol. 2008;148(1):23–30. doi: 10.1159/000151502. [DOI] [PubMed] [Google Scholar]
  28. Moreno-Rangel A., Baek J., Roh T., Xu X., Carrillo G.. Assessing Impact of Household Intervention on Indoor Air Quality and Health of Children with Asthma in the US-Mexico Border: A Pilot Study. J. Environ. Public Health. 2020;2020:6042146. doi: 10.1155/2020/6042146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Phipatanakul W., Koutrakis P., Coull B. A., Petty C. R., Gaffin J. M., Sheehan W. J., Lai P. S., Bartnikas L. M., Kang C.-M., Wolfson J. M.. et al. Effect of School Integrated Pest Management or Classroom Air Filter Purifiers on Asthma Symptoms in Students With Active Asthma: A Randomized Clinical Trial. JAMA. 2021;326(9):839–850. doi: 10.1001/jama.2021.11559. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Rao N. G., Kumar A., Wong J. S., Shridhar R., Goswami D. Y.. Effect of a Novel Photoelectrochemical Oxidation Air Purifier on Nasal and Ocular Allergy Symptoms. Allergy Rhinol. 2018;9:2152656718781609. doi: 10.1177/2152656718781609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kadalayil L., Lowther S., Fong W. C. G., Nicolas F., Potter S., Larsson M., Kurukulaaratchy R., Arshad S. H.. Effects of air purifiers on rhinitis quality of life and perception of sleep quality in people with asthma: Randomised controlled trial. Clin. Exp. Allergy. 2024;54(5):350–352. doi: 10.1111/cea.14459. [DOI] [PubMed] [Google Scholar]
  32. Reisman R. E., Mauriello P. M., Davis G. B., Georgitis J. W., DeMasi J. M.. A double-blind study of the effectiveness of a high-efficiency particulate air (HEPA) filter in the treatment of patients with perennial allergic rhinitis and asthma. J. Allergy Clin Immunol. 1990;85(6):1050–1057. doi: 10.1016/0091-6749(90)90050-E. [DOI] [PubMed] [Google Scholar]
  33. James C., Bernstein D. I., Cox J., Ryan P., Wolfe C., Jandarov R., Newman N., Indugula R., Reponen T.. HEPA filtration improves asthma control in children exposed to traffic-related airborne particles. Indoor Air. 2020;30(2):235–243. doi: 10.1111/ina.12625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Kim S., Lee J., Park S., Rudasingwa G., Lee S., Yu S., Lim D. H.. Association between Peak Expiratory Flow Rate and Exposure Level to Indoor PM2.5 in Asthmatic Children, Using Data from the Escort Intervention Study. Int. J. Environ. Res. Public Health. 2020;17(20):7667. doi: 10.3390/ijerph17207667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Xu Y., Raja S., Ferro A. R., Jaques P. A., Hopke P. K., Gressani C., Wetzel L. E.. Effectiveness of heating, ventilation and air conditioning system with HEPA filter unit on indoor air quality and asthmatic children’s health. Build. Environ. 2010;45(2):330–337. doi: 10.1016/j.buildenv.2009.06.010. [DOI] [Google Scholar]
  36. Butz A. M., Matsui E. C., Breysse P., Curtin-Brosnan J., Eggleston P., Diette G., Williams D. A., Yuan J., Bernert J. T., Rand C.. A Randomized Trial of Air Cleaners and a Health Coach to Improve Indoor Air Quality for Inner-City Children With Asthma and Secondhand Smoke Exposure. Arch. Pediatr. Adolesc. Med. 2011;165(8):741–748. doi: 10.1001/archpediatrics.2011.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Kouis P., Galanakis E., Michaelidou E., Kinni P., Michanikou A., Pitsios C., Perez J., Achilleos S., Middleton N., Anagnostopoulou P.. et al. Improved childhood asthma control after exposure reduction interventions for desert dust and anthropogenic air pollution: the MEDEA randomised controlled trial. Thorax. 2024;79(6):495–507. doi: 10.1136/thorax-2023-220877. [DOI] [PubMed] [Google Scholar]
  38. Drieling R. L., Sampson P. D., Krenz J. E., Tchong French M. I., Jansen K. L., Massey A. E., Farquhar S. A., Min E., Perez A., Riederer A. M.. et al. Randomized trial of a portable HEPA air cleaner intervention to reduce asthma morbidity among Latino children in an agricultural community. Environ. Health. 2022;21(1):1. doi: 10.1186/s12940-021-00816-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Park H.-K., Cheng K.-C., Tetteh A. O., Hildemann L. M., Nadeau K. C.. Effectiveness of air purifier on health outcomes and indoor particles in homes of children with allergic diseases in Fresno, California: A pilot study. J. Asthma. 2017;54(4):341–346. doi: 10.1080/02770903.2016.1218011. [DOI] [PubMed] [Google Scholar]
  40. Morgan W. J., Crain E. F., Gruchalla R. S., O’Connor G. T., Kattan M., Evans R. I., Stout J., Malindzak G., Smartt E., Plaut M.. et al. Results of a home-based environmental intervention among urban children with asthma. N. Engl. J. Med. 2004;351(11):1068–1080. doi: 10.1056/NEJMoa032097. [DOI] [PubMed] [Google Scholar]
  41. Kaviany P., Brigham E. P., Collaco J. M., Rice J. L., Woo H., Wood M., Koehl R., Wu T. D., Eakin M. N., Koehler K.. et al. Patterns and predictors of air purifier adherence in children with asthma living in low-income, urban households. J. Asthma. 2022;59(5):946–955. doi: 10.1080/02770903.2021.1893745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Huang S. W., Kimbrough J. W.. Effect of air cleaners on mold count in the air and on the symptoms of perennial rhinitis. Pediatr. Asthma. Allergy Immunol. 1995;9(4):205–211. doi: 10.1089/pai.1995.9.205. [DOI] [Google Scholar]
  43. Lanphear B. P., Hornung R. W., Khoury J., Yolton K., Lierl M., Kalkbrenner A.. Effects of HEPA Air Cleaners on Unscheduled Asthma Visits and Asthma Symptoms for Children Exposed to Secondhand Tobacco Smoke. Pediatrics. 2011;127(1):93–101. doi: 10.1542/peds.2009-2312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Francis H., Fletcher G., Anthony C., Pickering C., Oldham L., Hadley E., Custovic A., Niven R.. Clinical effects of air filters in homes of asthmatic adults sensitized and exposed to pet allergens. Clin. Exp. Allergy. 2003;33(1):101–105. doi: 10.1046/j.1365-2222.2003.01570.x. [DOI] [PubMed] [Google Scholar]
  45. Park K. H., Sim D. W., Lee S. C., Moon S., Choe E., Shin H., Kim S. R., Lee J.-H., Park H. H., Huh D.. et al. Effects of Air Purifiers on Patients with Allergic Rhinitis: a Multicenter, Randomized, Double-Blind, and Placebo-Controlled Study. Yonsei Med. J. 2020;61(8):689–697. doi: 10.3349/ymj.2020.61.8.689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Luo J.-Y., Ou L.-L., Ma J., Lin X.-Y., Fan L.-M., Liu H.-C., Sun B.-Q.. Efficacy of air purifier therapy for patients with allergic asthma. Allergol. Immunopathol. 2021;49(5):16–24. doi: 10.15586/aei.v49i5.146. [DOI] [PubMed] [Google Scholar]
  47. Skulberg K. R., Skyberg K., Kruse K., Eduard W., Levy F., Kongerud J., Djupesland P.. The effects of intervention with local electrostatic air cleaners on airborne dust and the health of office employees. Indoor Air. 2005;15(3):152–159. doi: 10.1111/j.1600-0668.2005.00331.x. [DOI] [PubMed] [Google Scholar]
  48. Jhun I., Gaffin J. M., Coull B. A., Huffaker M. F., Petty C. R., Sheehan W. J., Baxi S. N., Lai P. S., Kang C. M., Wolfson J. M.. et al. School Environmental Intervention to Reduce Particulate Pollutant Exposures for Children with Asthma. J. Allergy Clin Immunol Pract. 2017;5(1):154–159. doi: 10.1016/j.jaip.2016.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Wood R. A., Johnson E. F., Van Natta M. L., Chen P. H., Eggleston P. A.. A placebo-controlled trial of a HEPA air cleaner in the treatment of cat allergy. Am. J. Respir. Crit. Care Med. 1998;158(1):115–120. doi: 10.1164/ajrccm.158.1.9712110. [DOI] [PubMed] [Google Scholar]
  50. Fong W. C. G., Kadalayil L., Lowther S., Grevatt S., Potter S., Tidbury T., Bennett K., Larsson M., Nicolas F., Kurukulaaratchy R.. et al. The efficacy of the Dyson air purifier on asthma control A single-center, investigator-led, randomized, double-blind, placebo-controlled trial. Ann. Allergy Asthma Immunol. 2023;130(2):199. doi: 10.1016/j.anai.2022.10.010. [DOI] [PubMed] [Google Scholar]
  51. Antonicelli L., Bilo M. B., Pucci S., Schou C., Bonifazi F.. Efficacy of an air-cleaning device equipped with a high efficiency particulate air filter in house dust mite respiratory allergy. Allergy. 1991;46(8):594–600. doi: 10.1111/j.1398-9995.1991.tb00629.x. [DOI] [PubMed] [Google Scholar]
  52. Warner J. A., Marchant J. L., Warner J. O.. Double blind trial of ionisers in children with asthma sensitive to the house dust mite. Thorax. 1993;48(4):330–333. doi: 10.1136/thx.48.4.330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Wang Y., Zhao Y., Xue L., Wu S., Wang B., Li G., Huang J., Guo X.. Effects of air purification of indoor PM2.5 on the cardiorespiratory biomarkers in young healthy adults. Indoor Air. 2021;31(4):1125–1133. doi: 10.1111/ina.12815. [DOI] [PubMed] [Google Scholar]
  54. Zhao Y., Xue L., Chen Q., Kou M., Wang Z., Wu S., Huang J., Guo X.. Cardiorespiratory responses to fine particles during ambient PM2.5 pollution waves: Findings from a randomized crossover trial in young healthy adults. Environ. Int. 2020;139:105590. doi: 10.1016/j.envint.2020.105590. [DOI] [PubMed] [Google Scholar]
  55. Wang J., Lin L., Zhang J., Duan J., Huang J., Guo X., Wu S., Sun Z.. Impact of PM2.5 exposure on plasma metabolome in healthy adults during air pollution waves: A randomized, crossover trial. J. Hazard. Mater. 2022;436:129180. doi: 10.1016/j.jhazmat.2022.129180. [DOI] [PubMed] [Google Scholar]
  56. Wang J., Shi J., Zhao Y., Xue L., Li G., Wang B., Huang J., Wu S., Guo X.. Cardiorespiratory responses in healthy young adults with exposure to indoor airborne PAEs: A randomized, crossover trial of air purification. Environ. Int. 2021;156:106761. doi: 10.1016/j.envint.2021.106761. [DOI] [PubMed] [Google Scholar]
  57. Chen R., Zhao A., Chen H., Zhao Z., Cai J., Wang C., Yang C., Li H., Xu X., Ha S.. et al. Cardiopulmonary Benefits of Reducing Indoor Particles of Outdoor Origin. J. Am. Coll. Cardiol. 2015;65(21):2279–2287. doi: 10.1016/j.jacc.2015.03.553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Liu W., Huang J., Lin Y., Cai C., Zhao Y., Teng Y., Mo J., Xue L., Liu L., Xu W.. et al. Negative ions offset cardiorespiratory benefits of PM2.5 reduction from residential use of negative ion air purifiers. Indoor Air. 2021;31(1):220–228. doi: 10.1111/ina.12728. [DOI] [PubMed] [Google Scholar]
  59. Weichenthal S., Mallach G., Kulka R., Black A., Wheeler A., You H., St-Jean M., Kwiatkowski R., Sharp D.. A randomized double-blind crossover study of indoor air filtration and acute changes in cardiorespiratory health in a First Nations community. Indoor Air. 2013;23(3):175–184. doi: 10.1111/ina.12019. [DOI] [PubMed] [Google Scholar]
  60. Day D. B., Xiang J., Mo J., Clyde M. A., Weschler C. J., Li F., Gong J., Chung M., Zhang Y., Zhang J.. Combined Use of an Electrostatic Precipitator and a HEPA Filter in Building Ventilation Systems: Effects on Cardiorespiratory Health Indicators in Healthy Adults. Indoor Air. 2018;28:360–372. doi: 10.1111/ina.12447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Cui X., Li F., Xiang J., Fang L., Chung M. K., Day D. B., Mo J., Weschler C. J., Gong J., He L.. et al. Cardiopulmonary effects of overnight indoor air filtration in healthy non-smoking adults: A double-blind randomized crossover study. Environ. Int. 2018;114:27–36. doi: 10.1016/j.envint.2018.02.010. [DOI] [PubMed] [Google Scholar]
  62. Chen C., Li H., Niu Y., Liu C., Lin Z., Cai J., Li W., Ge W., Chen R., Kan H.. Impact of short-term exposure to fine particulate matter air pollution on urinary metabolome: A randomized, double-blind, crossover trial. Environ. Int. 2019;130:104878. doi: 10.1016/j.envint.2019.05.072. [DOI] [PubMed] [Google Scholar]
  63. Yoda Y., Tamura K., Otani N., Hasunuma H., Nakayama S. F., Shima M.. Reduction in Indoor Airborne Endotoxin Concentration by the Use of Air Purifier and Its Relationship with Respiratory Health: A Randomized Crossover Intervention Study. Atmosphere. 2021;12(11):1523. doi: 10.3390/atmos12111523. [DOI] [Google Scholar]
  64. Yoda Y., Tamura K., Adachi S., Otani N., Nakayama S. F., Shima M.. Effects of the Use of Air Purifier on Indoor Environment and Respiratory System among Healthy Adults. Int. J. Environ. Res. Public Health. 2020;17(10):3687. doi: 10.3390/ijerph17103687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Zhao Y., Liu S., Wang W., Li L., Zhang W., Ji X., Yang D., Guo X., Deng F.. Associations of indoor airborne microbiome with lung function: evidence from a randomized, double-blind, crossover study of microbial intervention. Environ. Sci. Process. Impacts. 2024;26(11):2020–2035. doi: 10.1039/D4EM00392F. [DOI] [PubMed] [Google Scholar]
  66. Lei J., Sun Q., Chen R., Zhu Y., Zhou L., Xue X., Fang J., Du Y., Wang Y., Li T.. et al. Respiratory Benefits of Multisetting Air Purification in Children: A Cluster Randomized Crossover Trial. JAMA Pediatr. 2025;179(2):122–128. doi: 10.1001/jamapediatrics.2024.5049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Yang X., Wang Q., Han F., Dong B., Wen B., Li L., Ruan H., Zhang S., Kong J., Zhi H.. et al. Pulmonary Benefits of Intervention with Air Cleaner among School children in Beijing: A Randomized Double-Blind Crossover Study. Environ. Sci. Technol. 2022;56(11):7185–7193. doi: 10.1021/acs.est.1c03146. [DOI] [PubMed] [Google Scholar]
  68. Walker E. S., Semmens E. O., Belcourt A., Boyer B. B., Erdei E., Graham J., Hopkins S. E., Lewis J. L., Smith P. G., Ware D.. et al. Efficacy of Air Filtration and Education Interventions on Indoor Fine Particulate Matter and Child Lower Respiratory Tract Infections among Rural US Homes Heated with Wood Stoves: Results from the KidsAIR Randomized Trial. Environ. Health Perspect. 2022;130(4):047002. doi: 10.1289/EHP9932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Weisboeck-Erdheim R., Bordin S., Freidl J., Pichler C., Bischof M., Zechner R., Meilinger Y., Hell H., Griener J., Roth J.. et al. Nonthermal Plasma Air Purification Reduces Infection Rate and Alleviates Symptoms in Upper Respiratory Tract Infections: A Randomized Controlled Trial. Indoor Air. 2025;(1):3380242. doi: 10.1155/ina/3380242. [DOI] [Google Scholar]
  70. Xia X., Niu X., Chan K., Xu H., Shen Z., Cao J.-j., Wu S., Qiu H., Ho K.-F.. Effects of indoor air purification intervention on blood pressure, blood-oxygen saturation, and heart rate variability: A double-blinded cross-over randomized controlled trial of healthy young adults. Sci. Total Environ. 2023;874:162516. doi: 10.1016/j.scitotenv.2023.162516. [DOI] [PubMed] [Google Scholar]
  71. Chen R.-Y., Ho K.-F., Chang T.-Y., Hong G.-B., Liu C.-W., Chuang K.-J.. In-vehicle carbon dioxide and adverse effects: An air filtration-based intervention study. Sci. Total Environ. 2020;723:138047. doi: 10.1016/j.scitotenv.2020.138047. [DOI] [PubMed] [Google Scholar]
  72. Zhou J., Huebner G., Liu K. Y., Ucci M.. Heart rate variability, electrodermal activity and cognition in adults: Association with short-term indoor PM2.5 exposure in a real-world intervention study. Environ. Res. 2024;263:120245. doi: 10.1016/j.envres.2024.120245. [DOI] [PubMed] [Google Scholar]
  73. Lyu L., Xu Y., Wang H., Guo X., Gao Y., Duan S., Deng F., Guo X., Wang Y.. Changes in heart rate variability of healthy subjects shortly exposed to printing shop particles and the effect of air purifier intervention. Environ. Pollut. 2022;315:120418. doi: 10.1016/j.envpol.2022.120418. [DOI] [PubMed] [Google Scholar]
  74. Chuang H.-C., Ho K.-F., Lin L.-Y., Chang T.-Y., Hong G.-B., Ma C.-M., Liu I. J., Chuang K.-J.. Long-term indoor air conditioner filtration and cardiovascular health: A randomized crossover intervention study. Environ. Int. 2017;106:91–96. doi: 10.1016/j.envint.2017.06.008. [DOI] [PubMed] [Google Scholar]
  75. Kajbafzadeh M., Brauer M., Karlen B., Carlsten C., van Eeden S., Allen R. W.. The impacts of traffic-related and woodsmoke particulate matter on measures of cardiovascular health: a HEPA filter intervention study. Occup. Environ. Med. 2015;72(6):394–400. doi: 10.1136/oemed-2014-102696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Allen R. W., Carlsten C., Karlen B., Leckie S., van Eeden S., Vedal S., Wong I., Brauer M.. An Air Filter Intervention Study of Endothelial Function among Healthy Adults in a Woodsmoke-impacted Community. Am. J. Respir. Crit. Care Med. 2011;183(9):1222–1230. doi: 10.1164/rccm.201010-1572OC. [DOI] [PubMed] [Google Scholar]
  77. Li H., Cai J., Chen R., Zhao Z., Ying Z., Wang L., Chen J., Hao K., Kinney P. L., Chen H.. et al. Particulate Matter Exposure and Stress Hormone Levels A Randomized, Double-Blind, Crossover Trial of Air Purification. Circulation. 2017;136(7):618. doi: 10.1161/CIRCULATIONAHA.116.026796. [DOI] [PubMed] [Google Scholar]
  78. Chen R., Li H., Cai J., Wang C., Lin Z., Liu C., Niu Y., Zhao Z., Li W., Kan H.. Fine Particulate Air Pollution and the Expression of microRNAs and Circulating Cytokines Relevant to Inflammation, Coagulation, and Vasoconstriction. Environ. Health Perspect. 2018;126(1):017007. doi: 10.1289/EHP1447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Sun Y., Huang J., Zhao Y., Xue L., Li H., Liu Q., Cao H., Peng W., Guo C., Xie Y.. et al. Inflammatory cytokines and DNA methylation in healthy young adults exposure to fine particulate matter: A randomized, double-blind crossover trial of air filtration. J. Hazard. Mater. 2020;398:122817. doi: 10.1016/j.jhazmat.2020.122817. [DOI] [PubMed] [Google Scholar]
  80. Li H., Chen R., Cai J., Cui X., Huang N., Kan H.. Short-term exposure to fine particulate air pollution and genome-wide DNA methylation: A randomized, double-blind, crossover trial. Environ. Int. 2018;120:130–136. doi: 10.1016/j.envint.2018.07.041. [DOI] [PubMed] [Google Scholar]
  81. Wen F., Huang J., Sun Y., Zhao Y., Li B., Wu S., Zhang L.. Sensitive inflammatory biomarkers of acute fine particulate matter exposure among healthy young adults: Findings from a randomized, double-blind crossover trial on air filtration. Environ. Pollut. 2022;301:119026. doi: 10.1016/j.envpol.2022.119026. [DOI] [PubMed] [Google Scholar]
  82. Chen R., Meng X., Zhao A., Wang C., Yang C., Li H., Cai J., Zhao Z., Kan H.. DNA hypomethylation and its mediation in the effects of fine particulate air pollution on cardiovascular biomarkers: A randomized crossover trial. Environ. Int. 2016;94:614–619. doi: 10.1016/j.envint.2016.06.026. [DOI] [PubMed] [Google Scholar]
  83. Padró-Martinez L., Owusu E., Reisner E., Zamore W., Simon M., Mwamburi M., Brown C., Chung M., Brugge D., Durant J.. A Randomized Cross-over Air Filtration Intervention Trial for Reducing Cardiovascular Health Risks in Residents of Public Housing near a Highway. Int. J. Environ. Res. Public Health. 2015;12(7):7814–7838. doi: 10.3390/ijerph120707814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Kwag Y., Oh J., Yang W., Kim Y., Ha E.-H., Ye S.. Effect of PM concentration on anemia blood indicators reduced by air purifiers. Chemosphere. 2023;323:138131. doi: 10.1016/j.chemosphere.2023.138131. [DOI] [PubMed] [Google Scholar]
  85. Arya G., Rulia R., Kumar A., Ahuja A., Bhardwaj R., Surapaneni V., Raj V., Mohankumar J. G., Chougale S., Chaudhry D.. et al. Physiological impact of portable air filtration systems on male-pediatric cardiovascular health amid hazardous air pollution. Physiol. Rep. 2025;13(16):e70517. doi: 10.14814/phy2.70517. [DOI] [Google Scholar]
  86. Li Q., Zhang Y., Fang J., Sun Q., Du Y., Wang Y., Lei J., Zhu Y., Xue X., Chen R.. et al. Effect of air purification on blood pressure and heart rate among school children: A cluster, randomized, double-blind crossover trial. Chinese Science Bulletin-Chinese. 2024;69(17):2454–2462. doi: 10.1360/TB-2023-1267. [DOI] [Google Scholar]
  87. Dong W., Liu S., Chu M., Zhao B., Yang D., Chen C., Miller M. R., Loh M., Xu J., Chi R.. et al. Different cardiorespiratory effects of indoor air pollution intervention with ionization air purifier: Findings from a randomized, double-blind crossover study among school children in Beijing. Environ. Pollut. 2019;254:113054. doi: 10.1016/j.envpol.2019.113054. [DOI] [PubMed] [Google Scholar]
  88. Liu S., Huang Q., Wu Y., Song Y., Dong W., Chu M., Yang D., Zhang X., Zhang J., Chen C.. et al. Metabolic linkages between indoor negative air ions, particulate matter and cardiorespiratory function: A randomized, double-blind crossover study among children. Environ. Int. 2020;138:105663. doi: 10.1016/j.envint.2020.105663. [DOI] [PubMed] [Google Scholar]
  89. Guo M., Du C., Li B., Yao R., Tang Y., Jiang Y., Liu H., Su H., Zhou Y., Wang L.. et al. Reducing particulates in indoor air can improve the circulation and cardiorespiratory health of old people: A randomized, double-blind crossover trial of air filtration. Sci. Total Environ. 2021;798:149248. doi: 10.1016/j.scitotenv.2021.149248. [DOI] [PubMed] [Google Scholar]
  90. Guo M., Zhou M., Wei S., Peng J., Wang Q., Wang L., Cheng D., Yu W.. Particle removal effectiveness of portable air purifiers in aged-care centers and the impact on the health of older people. Energy Build. 2021;250:111250. doi: 10.1016/j.enbuild.2021.111250. [DOI] [Google Scholar]
  91. Shao D., Du Y., Liu S., Brunekreef B., Meliefste K., Zhao Q., Chen J., Song X., Wang M., Wang J.. et al. Cardiorespiratory responses of air filtration: A randomized crossover intervention trial in seniors living in Beijing Beijing Indoor Air Purifier StudY, BIAPSY. Sci. Total Environ. 2017;603:541–549. doi: 10.1016/j.scitotenv.2017.06.095. [DOI] [PubMed] [Google Scholar]
  92. Liu S., Chen J., Zhao Q., Song X., Shao D., Meliefste K., Du Y., Wang J., Wang M., Wang T.. et al. Cardiovascular benefits of short-term indoor air filtration intervention in elderly living in Beijing: An extended analysis of BIAPSY study. Environ Res. 2018;167:632–638. doi: 10.1016/j.envres.2018.08.026. [DOI] [PubMed] [Google Scholar]
  93. Chen J., Wang T., Xu H., Zhu Y., Du Y., Liu B., Zhao Q., Zhang Y., Liu L., Yuan N.. et al. An extended analysis of cardiovascular benefits of indoor air filtration intervention among elderly: a randomized crossover trial (Beijing indoor air purifier study, BIAPSY) GHJ. 2022;6(1):30–34. doi: 10.1016/j.glohj.2022.01.001. [DOI] [Google Scholar]
  94. Xia X., Chan K. H., Kwok T., Wu S., Man C. L., Ho K.-F.. Effects of long-term indoor air purification intervention on cardiovascular health in elderly: a parallel, double-blinded randomized controlled trial in Hong Kong. Environ. Res. 2024;247:118284. doi: 10.1016/j.envres.2024.118284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Liu Z., Wang Q., Li N., Xu C., Li Y., Zhou J., Liu L., Zhang H., Mo Y., Han F.. et al. Cardiovascular benefits of air purifier in patients with stable coronary artery disease: A randomized single-blind crossover study. Front. Public Health. 2023;10:1082327. doi: 10.3389/fpubh.2022.1082327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. Zhang J. L., Liao G.-Y., Lin H.-Y., Xie J.-A., Li W.-C., Chen H.-C., Wu D. W., Juan H.-L., Kuo J.-Y., Chen P.-S.. Enhancing indoor air quality and cardiopulmonary health in patients with asthma by photocatalytic oxidation and filters air cleaner. J. Hazard. Mater. 2025;482:136573. doi: 10.1016/j.jhazmat.2024.136573. [DOI] [PubMed] [Google Scholar]
  97. Morishita M., Adar S. D., D’Souza J., Ziemba R. A., Bard R. L., Spino C., Brook R. D.. Effect of Portable Air Filtration Systems on Personal Exposure to Fine Particulate Matter and Blood Pressure Among Residents in a Low-Income Senior Facility A Randomized Clinical Trial. JAMA Intern. Med. 2018;178(10):1350–1357. doi: 10.1001/jamainternmed.2018.3308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Lin L.-Y., Chen H.-W., Su T.-L., Hong G.-B., Huang L.-C., Chuang K.-J.. The effects of indoor particle exposure on blood pressure and heart rate among young adults: An air filtration-based intervention study. Atmos. Environ. 2011;45(31):5540–5544. doi: 10.1016/j.atmosenv.2011.05.014. [DOI] [Google Scholar]
  99. Raju S., Woo H., Koehler K., Fawzy A., Liu C., Putcha N., Balasubramanian A., Peng R. D., Lin C. T., Lemoine C.. et al. Indoor Air Pollution and Impaired Cardiac Autonomic Function in Chronic Obstructive Pulmonary Disease. Am. J. Respir. Crit. Care Med. 2023;207(6):721–730. doi: 10.1164/rccm.202203-0523OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Brugge D., Simon M. C., Hudda N., Zellmer M., Corlin L., Cleland S., Lu E. Y., Rivera S., Byrne M., Chung M.. et al. Lessons from in-home air filtration intervention trials to reduce urban ultrafine particle number concentrations. Build. Environ. 2017;126:266–275. doi: 10.1016/j.buildenv.2017.10.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Bräuner E. V., Forchhammer L., Møller P., Barregard L., Gunnarsen L., Afshari A., Wåhlin P., Glasius M., Dragsted L. O., Basu S.. et al. Indoor particles affect vascular function in the aged: an air filtration-based intervention study. Am. J. Respir. Crit. Care Med. 2008;177(4):419–425. doi: 10.1164/rccm.200704-632OC. [DOI] [PubMed] [Google Scholar]
  102. Karottki D. G., Spilak M., Frederiksen M., Gunnarsen L., Brauner E. V., Kolarik B., Andersen Z. J., Sigsgaard T., Barregard L., Strandberg B.. et al. An indoor air filtration study in homes of elderly: cardiovascular and respiratory effects of exposure to particulate matter. Environ. Health. 2013;12:116. doi: 10.1186/1476-069X-12-116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Eom S.-Y., Kim A., Lee J.-H., Kim S. M., Lee S.-Y., Hwang K.-K., Lim H.-J., Cho M.-C., Kim Y.-D., Bae J.-W.. et al. Positive Effect of Air Purifier Intervention on Baroreflex Sensitivity and Biomarkers of Oxidative Stress in Patients with Coronary Artery Disease: A Randomized Crossover Intervention Trial. Int. J. Environ. Res. Public Health. 2022;19(12):7078. doi: 10.3390/ijerph19127078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Ahuja A., Kumar A., Rulia R., Bhardwaj R., Arya G., Surapaneni V., Raj V., Mohankumar J. G., Chougale S., Chaudhry D.. et al. Effect of portable air filtration systems among female residents of old age home in northern India with hazardous air quality. Physiol. Rep. 2025;13(15):e70475. doi: 10.14814/phy2.70475. [DOI] [Google Scholar]
  105. Brugge D., Eliasziw M., Thanikachalam M., Kuchhal V., Morson C., Vazquez-Dodero T., Mertl A., Tallam P., Kunwar S., Martinez L. S.. et al. Effect of HEPA Filtration Air Purifiers on Blood Pressure: A Pragmatic Randomized Crossover Trial. J. Am. College Cardiol. 2025;86(8):577–589. doi: 10.1016/j.jacc.2025.06.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Hudda N., Eliasziw M., Hersey S. O., Reisner E., Brook R. D., Zamore W., Durant J. L., Brugge D.. Effect of Reducing Ambient Traffic-Related Air Pollution on Blood Pressure A Randomized Crossover Trial. Hypertension. 2021;77(3):823–832. doi: 10.1161/HYPERTENSIONAHA.120.15580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Young M. T., Jansen K., Cosselman K. E., Gould T. R., Stewart J. A., Larson T., Sack C., Vedal S., Szpiro A. A., Kaufman J. D.. Blood Pressure Effect of Traffic-Related Air Pollution A Crossover Trial of In-Vehicle Filtration. Ann. Int. Med. 2023;176(12):1586–1594. doi: 10.7326/M23-1309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Liu Y., Zhang L., Wang J., Sui X., Li J., Gui Y., Wang H., Zhao Y., Xu Y., Cao W.. et al. Prenatal PM(2.5) Exposure Associated with Neonatal Gut Bacterial Colonization and Early Children’s Cognitive Development. Environ. Health (Wash). 2024;2(11):802–815. doi: 10.1021/envhealth.4c00050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Ulziikhuu B., Gombojav E., Banzrai C., Batsukh S., Enkhtuya E., Boldbaatar B., Bellinger D. C., Lanphear B. P., McCandless L. C., Nepomnaschy P.. et al. Who benefits most from a prenatal HEPA filter air cleaner intervention on childhood cognitive development? The UGAAR randomized controlled trial. Environ. Res. 2023;231:115991. doi: 10.1016/j.envres.2023.115991. [DOI] [PubMed] [Google Scholar]
  110. Ulziikhuu B., Gombojav E., Banzrai C., Batsukh S., Enkhtuya E., Boldbaatar B., Bellinger D. C., Lanphear B. P., McCandless L. C., Tamana S. K.. et al. Portable HEPA Filter Air Cleaner Use during Pregnancy and Children’s Cognitive Performance at Four Years of Age: The UGAAR Randomized Controlled Trial. Environ. Health Perspect. 2022;130(6):067006. doi: 10.1289/EHP10302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Barn P., Gombojav E., Ochir C., Boldbaatar B., Beejin B., Naidan G., Galsuren J., Legtseg B., Byambaa T., Hutcheon J. A.. et al. The effect of portable HEPA filter air cleaner use during pregnancy on fetal growth: The UGAAR randomized controlled trial. Environ. Int. 2018;121:981–989. doi: 10.1016/j.envint.2018.08.036. [DOI] [PubMed] [Google Scholar]
  112. Tamana S. K., Gombojav E., Kanlic A., Banzrai C., Batsukh S., Enkhtuya E., Boldbaatar B., Lanphear B. P., Lear S. A., McCandless L. C.. et al. Portable HEPA filter air cleaner use during pregnancy and children’s body mass index at two years of age: The UGAAR randomized controlled trial. Environ. Int. 2021;156:106728–106728. doi: 10.1016/j.envint.2021.106728. [DOI] [PubMed] [Google Scholar]
  113. Enkhbat U., Gombojav E., Banzrai C., Batsukh S., Boldbaatar B., Enkhtuya E., Bellinger D. C., Lanphear B. P., McCandless L. C., Allen R. W.. Portable HEPA filter air cleaner use during pregnancy and children’s autistic behaviors at four years of age: The UGAAR randomized controlled trial. Environ. Int. 2022;168:107432. doi: 10.1016/j.envint.2022.107432. [DOI] [PubMed] [Google Scholar]
  114. Enkhbat U., Gombojav E., Banzrai C., Batsukh S., Boldbaatar B., Enkhtuya E., Ochir C., Bellinger D. C., Lanphear B. P., McCandless L. C.. et al. Portable HEPA filter air cleaner use during pregnancy and children’s behavior problem scores: a secondary analysis of the UGAAR randomized controlled trial. Environ. Health. 2021;20(1):78. doi: 10.1186/s12940-021-00763-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Gignac F., Barrera-Gomez J., Persavento C., Sole C., Tena E., Lopez-Vicente M., Foraster M., Amato F., Alastuey A., Querol X.. et al. Short-term effect of air pollution on attention function in adolescents (ATENC!O): A randomized controlled trial in high schools in Barcelona, Spain. Environ. Int. 2021;156:106614. doi: 10.1016/j.envint.2021.106614. [DOI] [PubMed] [Google Scholar]
  116. Wargocki P., Wyon D. P., Lynge-Jensen K., Bornehag C.-G.. The effects of electrostatic particle filtration and supply-air filter condition in classrooms on the performance of schoolwork by children (RP-1257) Hvac&R Research. 2008;14(3):327–344. doi: 10.1080/10789669.2008.10391012. [DOI] [Google Scholar]
  117. Rosén K. G., Richardson G.. Would removing indoor air particulates in children’s environments reduce rate of absenteeism -: A hypothesis. Sci. Total Environ. 1999;234(1–3):87–93. doi: 10.1016/S0048-9697(99)00266-1. [DOI] [PubMed] [Google Scholar]
  118. Xu J., Zhao H., Zhang Y., Yang W., Wang X., Geng C., Li Y., Guo Y., Han B., Bai Z.. et al. Reducing Indoor Particulate Air Pollution Improves Student Test Scores: A Randomized Double-Blind Crossover Study. Environ. Sci. Technol. 2024;58(19):8207–8214. doi: 10.1021/acs.est.3c10372. [DOI] [PubMed] [Google Scholar]
  119. Zhou J., Wang H., Huebner G., Zeng Y., Pei Z., Ucci M.. Short-term exposure to indoor PM2.5 in office buildings and cognitive performance in adults: An intervention study. Build. Environ. 2023;233:110078. doi: 10.1016/j.buildenv.2023.110078. [DOI] [Google Scholar]
  120. Ke L., Liu J., Feng G., Li X., Zhang Y., Zhang S., Ma X., Di Q.. Effects of acute PM2.5 purification on cognitive function and underlying mechanisms: Evidence from integrating alternative splicing into multi-omics. J. Hazard. Mater. 2025;487:137214. doi: 10.1016/j.jhazmat.2025.137214. [DOI] [PubMed] [Google Scholar]
  121. Lamport D. J., Breese E., Giao M. S., Chandra S., Orchard F.. Can air purification improve sleep quality? A 2-week randomised-controlled crossover pilot study in healthy adults. J. Sleep Res. 2023;32(3):e13782. doi: 10.1111/jsr.13782. [DOI] [PubMed] [Google Scholar]
  122. Liu Y., Zhou B., Wang J., Zhao B.. Health benefits and cost of using air purifiers to reduce exposure to ambient fine particulate pollution in China. J. Hazard. Mater. 2021;414:125540. doi: 10.1016/j.jhazmat.2021.125540. [DOI] [PubMed] [Google Scholar]
  123. Zhang A., Liu Y., Ji J. S., Zhao B.. Air Purifier Intervention to Remove Indoor PM2.5 in Urban China: A Cost-Effectiveness and Health Inequality Impact Study. Environ. Sci. Technol. 2023;57(11):4492–4503. doi: 10.1021/acs.est.2c09730. [DOI] [PubMed] [Google Scholar]
  124. Fisk W. J., Chan W. R.. Effectiveness and cost of reducing particle-related mortality with particle filtration. Indoor Air. 2017;27(5):909–920. doi: 10.1111/ina.12371. [DOI] [PubMed] [Google Scholar]
  125. Martenies S. E., Batterman S. A.. Effectiveness of Using Enhanced Filters in Schools and Homes to Reduce Indoor Exposures to PM2.5 from Outdoor Sources and Subsequent Health Benefits for Children with Asthma. Environ. Sci. Technol. 2018;52(18):10767–10776. doi: 10.1021/acs.est.8b02053. [DOI] [PubMed] [Google Scholar]
  126. Cooper E., Milner J., Wang Y., Stamp S., Mumovic D.. Modelling the impact on mortality of using portable air purifiers to reduce PM2.5 in UK homes. Atmos. Environ. 2022;289:119311. doi: 10.1016/j.atmosenv.2022.119311. [DOI] [Google Scholar]
  127. Socolovsky C., Louisias M., Alsulami S., Petty C. R., Trivedi M., Lai P. S., Cunningham A., Gaffin J., Thorne P., Coull B.. et al. Cost-effectiveness of school integrated pest management and air filtration in students with asthma. Allergy Asthma Proc. 2025;46(3):257–266. doi: 10.2500/aap.2025.46.250018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Fisk W. J., Chan W. R.. Health benefits and costs of filtration interventions that reduce indoor exposure to PM2.5 during wildfires. Indoor Air. 2017;27(1):191–204. doi: 10.1111/ina.12285. [DOI] [PubMed] [Google Scholar]
  129. Tao S., Zhu Y., Chen M., Shangguan W.. Advances in Electrostatic Plasma Methods for Purification of Airborne Pathogenic Microbial Aerosols: Mechanism. Modeling and Application. Environ. Health (Wash). 2024;2(9):596–617. doi: 10.1021/envhealth.4c00100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Basner M., Babisch W., Davis A., Brink M., Clark C., Janssen S., Stansfeld S.. Auditory and non-auditory effects of noise on health. Lancet. 2014;383(9925):1325–1332. doi: 10.1016/S0140-6736(13)61613-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Münzel T., Gori T., Babisch W., Basner M.. Cardiovascular effects of environmental noise exposure. Eur. Heart J. 2014;35(13):829–836. doi: 10.1093/eurheartj/ehu030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Münzel T., Schmidt F. P., Steven S., Herzog J., Daiber A., So̷rensen M.. Environmental Noise and the Cardiovascular System. J. Am. Coll Cardiol. 2018;71(6):688–697. doi: 10.1016/j.jacc.2017.12.015. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data will be made available on request.


Articles from Environment & Health are provided here courtesy of American Chemical Society

RESOURCES