{"title":"Factors related to protective behaviors and interventions targeting PM2.5 exposure reduction: A systematic review","authors":"Weerawat Ounsaneha , Jeevan Bhatta , Cheerawit Rattanapan","doi":"10.1016/j.grets.2025.100256","DOIUrl":null,"url":null,"abstract":"<div><div>Fine particulate matter (PM<span><math><msub><mrow></mrow><mrow><mi>2.5</mi></mrow></msub></math></span>) exposure presents a significant global health burden. While policy interventions remain essential for emission reduction, individual-level protective behaviors may mitigate immediate exposure. However, the effectiveness of these interventions and factors influencing their adoption remain incompletely characterized. This systematic review aims to (1) characterize protective behaviors and interventions targeting PM<span><math><msub><mrow></mrow><mrow><mi>2.5</mi></mrow></msub></math></span> exposure reduction, (2) evaluate their effectiveness, (3) identify factors influencing their adoption, and (4) synthesize evidence across diverse exposure contexts. Following PRISMA guidelines, we searched three electronic databases (PubMed, Scopus, and Embase) for studies published between 2015 and 2024 that examined protective behaviors or interventions against air pollution exposure reduction. Quality assessment employed design-specific tools (Cochrane Risk of Bias 2.0, STROBE, MMAT, NOS). Data were synthesized using a PICOS framework (Population, Intervention, Comparison, Outcomes, Study design). Thirteen studies met the inclusion criteria. Interventions comprised technological solutions (air purifiers, masks), structural modifications (ventilation improvements), and behavioral adaptations (activity reduction). A randomized controlled trial demonstrated that multi-component interventions reduced PM<span><math><msub><mrow></mrow><mrow><mi>2.5</mi></mrow></msub></math></span> exposure by <span><math><mrow><mn>5</mn><mo>.</mo><mn>7</mn><mspace></mspace><mi>μ</mi><mi>g</mi></mrow></math></span>/m<sup>3</sup> with corresponding health improvements in asthma patients. Modeling evidence suggested that protective behaviors could reduce PM<span><math><msub><mrow></mrow><mrow><mi>2.5</mi></mrow></msub></math></span>-associated mortality by 5.7% in highly polluted regions. Psychosocial factors, particularly risk perception, self-efficacy (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>47</mn></mrow></math></span>), and social norms (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>37</mn></mrow></math></span>), consistently predicted protective behavior adoption. Significant contextual differences existed across exposure settings, varying intervention effectiveness by pollution source and socioeconomic context. This review provides evidence supporting multi-component PM<span><math><msub><mrow></mrow><mrow><mi>2.5</mi></mrow></msub></math></span> reduction interventions targeting exposure pathways and behavior’s psychosocial determinants. Contextual tailoring is essential for intervention effectiveness.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"4 1","pages":"Article 100256"},"PeriodicalIF":12.2000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Technologies and Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949736125000909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/6 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fine particulate matter (PM) exposure presents a significant global health burden. While policy interventions remain essential for emission reduction, individual-level protective behaviors may mitigate immediate exposure. However, the effectiveness of these interventions and factors influencing their adoption remain incompletely characterized. This systematic review aims to (1) characterize protective behaviors and interventions targeting PM exposure reduction, (2) evaluate their effectiveness, (3) identify factors influencing their adoption, and (4) synthesize evidence across diverse exposure contexts. Following PRISMA guidelines, we searched three electronic databases (PubMed, Scopus, and Embase) for studies published between 2015 and 2024 that examined protective behaviors or interventions against air pollution exposure reduction. Quality assessment employed design-specific tools (Cochrane Risk of Bias 2.0, STROBE, MMAT, NOS). Data were synthesized using a PICOS framework (Population, Intervention, Comparison, Outcomes, Study design). Thirteen studies met the inclusion criteria. Interventions comprised technological solutions (air purifiers, masks), structural modifications (ventilation improvements), and behavioral adaptations (activity reduction). A randomized controlled trial demonstrated that multi-component interventions reduced PM exposure by /m3 with corresponding health improvements in asthma patients. Modeling evidence suggested that protective behaviors could reduce PM-associated mortality by 5.7% in highly polluted regions. Psychosocial factors, particularly risk perception, self-efficacy (), and social norms (), consistently predicted protective behavior adoption. Significant contextual differences existed across exposure settings, varying intervention effectiveness by pollution source and socioeconomic context. This review provides evidence supporting multi-component PM reduction interventions targeting exposure pathways and behavior’s psychosocial determinants. Contextual tailoring is essential for intervention effectiveness.
细颗粒物(PM2.5)暴露是一个重大的全球健康负担。虽然政策干预对减排仍然至关重要,但个人层面的保护行为可能减轻直接暴露。然而,这些干预措施的有效性和影响其采用的因素仍然没有完全确定。本系统综述旨在(1)描述针对PM2.5暴露减少的保护行为和干预措施;(2)评估其有效性;(3)确定影响其采用的因素;(4)综合不同暴露背景下的证据。按照PRISMA的指导方针,我们检索了三个电子数据库(PubMed、Scopus和Embase),检索了2015年至2024年间发表的关于减少空气污染暴露的保护行为或干预措施的研究。质量评估采用设计专用工具(Cochrane Risk of Bias 2.0、STROBE、MMAT、NOS)。数据采用PICOS框架(人口、干预、比较、结果、研究设计)进行综合。13项研究符合纳入标准。干预措施包括技术解决方案(空气净化器、口罩)、结构改造(改善通风)和行为适应(减少活动)。一项随机对照试验表明,多组分干预可使哮喘患者的PM2.5暴露减少5.7μg/m3,并相应改善健康状况。建模证据表明,在高污染地区,保护行为可以将pm2.5相关死亡率降低5.7%。心理社会因素,特别是风险感知、自我效能(β=0.47)和社会规范(β=0.37)一致地预测了保护行为的采用。不同暴露环境、不同污染源和不同社会经济背景的干预效果存在显著的背景差异。本综述提供了证据支持针对暴露途径和行为心理社会决定因素的多组分PM2.5减少干预措施。背景裁剪对干预的有效性至关重要。