Exposure measurement error in air pollution health effect studies: a pooled analysis of personal exposure validation studies in 17 communities across the United States.

Despite demonstrated adverse health effects of air pollution, the impact of exposure measurement error on these associations remains unexplored, especially for NO2 and PM2.5 components. We compiled daily personal measurements of PM2.5, NO2, and PM2.5 components – including Al, Cd, Fe, K, Ni, Pb, S,...

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Publicado en:International Journal of Environmental Health Research Vol. 35; no. 11; pp. 3473 - 3484
Autores principales: Zhang, Boya, Eum, Ki-Do, Szpiro, Adam A., Zhang, Ning, Hernández-Ramírez, Raúl U., Spiegelman, Donna, Wang, Molin, Suh, Helen
Formato: pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Nov2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2025
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        atl: Exposure measurement error in air pollution health effect studies: a pooled analysis of personal exposure validation studies in 17 communities across the United States.
      aug:
        au:
          Zhang, Boya
          Eum, Ki-Do
          Szpiro, Adam A.
          Zhang, Ning
          Hernández-Ramírez, Raúl U.
          Spiegelman, Donna
          Wang, Molin
          Suh, Helen
        affil: Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
      sug:
        subj:
          Air Pollution United States
          Particulate Matter
          Nitrogen Oxides
          Air Pollutants
          Measurement Error
          Human
          Male
          Female
          Middle Age
          Aged
          United States
          Comparative Studies
          Descriptive Statistics
          Data Analysis Software
          Spearman's Rank Correlation Coefficient
          Repeated Measures
          Age Factors
          Sex Factors
          Funding Source
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: Despite demonstrated adverse health effects of air pollution, the impact of exposure measurement error on these associations remains unexplored, especially for NO2 and PM2.5 components. We compiled daily personal measurements of PM2.5, NO2, and PM2.5 components – including Al, Cd, Fe, K, Ni, Pb, S, and Si – from previous studies as true exposure indicators. These were compared against ambient concentrations from the nearest monitors. We used Spearman correlation to examine relationships between monthly averages of personal exposures and ambient concentrations. Calibration coefficients were derived using linear mixed models to quantify measurement errors. Results showed strong correlations between monthly personal exposures and ambient concentrations for PM2.5, NO2, Cd, Ni, S, and Si across the US. Calibration coefficients for personal PM2.5 and NO2 were 0.46 (95% CI: 0.13, 0.78) and 0.97 (0.35, 1.59), respectively. Significant coefficients were also found for S (0.48; 95% CI: 0.27, 0.68), Cd (0.47; 0.17, 0.76), and Ni (0.17; 0.02, 0.32). Point estimates for calibration coefficients were all below one, indicating that using the nearest monitors as exposure surrogates would attenuate associations with health risks. The measurement error in component-wise analysis highlights the need for incorporating these calibration coefficients into future studies to adjust for such errors adequately.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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