Identifying predictors of personal exposure to air temperature in peri-urban India

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  • dc.contributor.author Milà, Carles
  • dc.contributor.author Curto Tirado, Ariadna, 1987-
  • dc.contributor.author Dimitrova, Asya, 1988-
  • dc.contributor.author Sreekanth, Vakacherla
  • dc.contributor.author Kinra, Sanjay
  • dc.contributor.author Marshall, Julian D.
  • dc.contributor.author Tonne, Cathryn
  • dc.date.accessioned 2023-10-24T07:13:20Z
  • dc.date.available 2023-10-24T07:13:20Z
  • dc.date.issued 2020
  • dc.description.abstract Characterizing personal exposure to air temperature is critical to understanding exposure measurement error in epidemiologic studies using fixed-site exposure data and to identify strategies to protect public health. To date, no study evaluating personal air temperature in the general population has been conducted in a low-and-middle income country. We used data from the CHAI study consisting of 50 adults monitored in up to six non-consecutive 24 h sessions in peri-urban south India. We quantified the agreement and association between fixed-site ambient and personal air temperature, and identified predictors of personal air temperature based on housing assessment, self-reported, GPS, remote sensing, and wearable camera data. Mean (SD) daytime (6 am-10 pm) average personal air temperature was 31.2 (2.6) °C and mean nighttime (10 pm-6 am) average temperature was 28.8 (2.8) °C. Agreement between average personal air and fixed-site ambient temperatures was limited, especially at night when personal air temperatures were underestimated by fixed-site temperatures (MBE = -5.6 °C). The proportion of average personal nighttime temperature variability explained by ambient fixed-site temperatures was moderate (R2mar = 0.39); daytime associations were stronger for women (R2mar = 0.51) than for men (R2mar = 0.3). Other predictors of average nighttime personal air temperature included residential altitude, ceiling height, and household income. Predictors of average daytime personal air temperature included roof materials, GPS-tracked altitude, time working in agriculture (for women), and time travelling (for men). No biomass cooking, urban heat island, or greenspace effects were identified. R2mar between ambient fixed-site and personal air temperature indicate that ambient fixed-site temperature is only a moderately useful proxy of personal air temperature in the context of peri-urban India. Our findings suggest that people living in houses at lower altitude, with lower ceiling height and asbestos roofing sheets might be more vulnerable to heat. We also identified households with higher income, women working in agriculture and men with long commutes as disproportionately exposed to high temperatures.
  • dc.description.sponsorship This research was funded by the European Research Council under ERC Grant Agreement number 336167 for the CHAI Project. Cathryn Tonne was funded through a Ramón y Cajal fellowship (RYC-2015-17402) awarded by the Spanish Ministry of Economy and Competitiveness. None of the funding sources had a role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Milà C, Curto A, Dimitrova A, Sreekanth V, Kinra S, Marshall JD, Tonne C. Identifying predictors of personal exposure to air temperature in peri-urban India. Sci Total Environ. 2020 Mar 10;707:136114. DOI: 10.1016/j.scitotenv.2019.136114
  • dc.identifier.doi http://dx.doi.org/10.1016/j.scitotenv.2019.136114
  • dc.identifier.issn 0048-9697
  • dc.identifier.uri http://hdl.handle.net/10230/58117
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof Sci Total Environ. 2020 Mar 10;707:136114
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/336167
  • dc.rights © Elsevier http://dx.doi.org/10.1016/j.scitotenv.2019.136114
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword GPS
  • dc.subject.keyword Greenspace
  • dc.subject.keyword Heat
  • dc.subject.keyword Remote sensing
  • dc.subject.keyword Urban heat island
  • dc.subject.keyword Wearable camera
  • dc.title Identifying predictors of personal exposure to air temperature in peri-urban India
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion