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

Milà, Carles; Curto, Ariadna; Dimitrova, Asya; Sreekanth, V.; Kinra, Sanjay; Marshall, Julian; Tonne, Cathryn

doi:10.1016/j.scitotenv.2019.136114

Cited by 17 publications

(12 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was expected, since in the Mediterranean rural setting, the altitude is often higher and the ambient climate cooler, being consistent with the meteorology of the Mediterranean region. Similar findings were obtained from a study in peri-urban south India 45 . Further, indoor environments (compared to outdoors) were associated with decreased personal air temperatures, being consistent with results from a U.S. population of groundkeepers 46,47 .…”

Section: Discussionsupporting

confidence: 90%

A randomized cross-over trial investigating differences in 24-h personal air and skin temperatures using wearable sensors between two climatologically contrasting settings

Constantinou

Oikonomou

Konstantinou

et al. 2021

Sci Rep

View full text Add to dashboard Cite

The influence of elevated air temperatures recorded in various urban microenvironments in adversely impacting biologically relevant disease end points has not yet been extensively tackled. This study is a post hoc analysis of the TEMP pilot trial, a randomized 2 × 2 cross-over trial that examined changes in metabolic and stress hormonal profiles of healthy adults in two settings (urban vs. rural) with distinctly different climatological characteristics during the Mediterranean summer. This analysis aimed to study the association between the 24-h personal air or skin temperature sensor measurements and the diary-based location type (indoors vs. outdoors) in urban (seaside) vs. rural (higher in altitude) microenvironments. Out of 41 eligible participants, a total of 37 participants were included in this post-hoc TEMP trial analysis. Wearable sensors recorded personal air temperature, skin temperature, and activity (as a surrogate marker of physical activity) in each setting, while a time-stamped personal diary recorded the types of indoor or outdoor activities. Temperature peaks during the 24-h sampling period were detected using a peak finding algorithm. Mixed effect logistic regression models were fitted for the odds of participant location (being indoors vs. outdoors) as a function of setting (urban vs. rural) and sensor-based personal temperature data (either raw temperature values or number of temperature peaks). During the study period (July–end of September), median [interquartile range, IQR] personal air temperature in the rural (higher altitude) settings was 1.5 °C lower than that in the urban settings (27.1 °C [25.4, 29.2] vs. 28.6 °C [27.1, 30.5], p < 0.001), being consistent with the Mediterranean climate. Median [IQR] personal air temperature in indoor (micro)environments was lower than those in outdoors (28.0 °C [26.4, 30.3] vs 28.5 °C [26.8, 30.7], p < 0.001). However, median [IQR] skin temperature was higher in indoor (micro)environments vs. outdoors (34.8 °C [34.0, 35.6] and 33.9 °C [32.9, 34.8], p < 0.001) and the number of both personal air and skin temperature peaks was higher indoors compared to outdoors (median [IQR] 3.0 [2.0,4.0] vs 1.0 [1.0,1.3], p < 0.007, for the skin sensors). A significant association between the number of temperature peaks and indoor location types was observed with either the personal air sensor (OR 3.1; 95% CI 1.2–8.2; p = 0.02) or the skin sensor (OR 3.7; 95% CI 1.4–9.9; p = 0.01), suggesting higher number of indoor air temperature fluctuations. Amidst the global climate crisis, more population health studies or personalized medicine approaches that utilize continuous tracking of individual-level air/skin temperatures in both indoor/outdoor locations would be warranted, if we were to better characterize the disease phenotype in response to climate change manifestations.

show abstract

Section: Discussionsupporting

confidence: 90%

A randomized cross-over trial investigating differences in 24-h personal air and skin temperatures using wearable sensors between two climatologically contrasting settings

Constantinou

Oikonomou

Konstantinou

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…A previous study in peri-urban Telangana, India, compared personal measurements of temperature opportunistically collected from a similar monitor to the one employed in HAPIN with ambient measurements among a population of 50 participants. 17 They noted limited agreement between personal and ambient samplers and suggested that additional factors, like altitude and demographic data, may help explain the discordance between the monitoring types. To the best of our knowledge, that study did not investigate relationships between modeled ambient temperature products and personal exposure as we did here.…”

Section: ■ Discussionmentioning

confidence: 99%

Heat Exposure among Adult Women in Rural Tamil Nadu, India

Deshpande,

Scovronick,

Clasen

et al. 2023

Environ. Sci. Technol.

View full text Add to dashboard Cite

Exposure to heat is associated with a substantial burden of disease and is an emerging issue in the context of climate change. Heat is of particular concern in India, which is one of the world's hottest countries and also most populous, where relatively little is known about personal heat exposure, particularly in rural areas. Here, we leverage data collected as part of a randomized controlled trial to describe personal temperature exposures of adult women (40−79 years of age) in rural Tamil Nadu. We also characterize measurement error in heat exposure assessment by comparing personal exposure measurements to the nearest ambient monitoring stations and to commonly used modeled temperature data products. We find that temperatures differ across individuals in the same area on the same day, sometimes by more than 5 °C within the same hour, and that some individuals experience sharp increases in heat exposure in the early morning or evening, potentially a result of cooking with solid fuels. We find somewhat stronger correlations between the personal exposure measurements and the modeled products than with ambient monitors. We did not find evidence of systematic biases, which indicates that adjusting for discrepancies between different exposure measurement methods is not straightforward.

show abstract

“…A previous study in peri-urban Telangana, India compared personal measurements of temperature opportunistically collected from a similar monitor to the one employed in HAPIN with ambient measurements among a population of 50 participants. 23 They noted limited agreement between personal and ambient samplers and suggest that additional factors – like altitude and demographic data may help explain the discordance between the monitoring types. To the best of our knowledge, that study did not investigate relationships between modeled ambient temperature products and personal exposure, as we did here.…”

Section: Discussionmentioning

confidence: 99%

Heat Exposure Among Adult Women in Rural Tamil Nadu, India

Deshpande

Scovronick

Clasen

et al. 2022

Preprint

View full text Add to dashboard Cite

Exposure to heat is associated with a substantial burden of disease and is an emerging issue in the context of climate change. Heat exposure is of particular concern in India, one of the world's hotter countries and soon to be its most populous, where a large fraction of the population works outdoors, lives in dwellings that are thermally inefficient, and is unable to access cooling technologies. Despite these concerns, relatively little is known about personal heat exposure in India, particularly in rural areas. Here we leverage temperature data collected as part of a randomized controlled trial of cookstove replacement to describe personal temperature exposures of older adult women in rural Tamil Nadu. We also compare personal exposure measurements to the nearest ambient monitoring stations, as well as to commonly used modelled temperature data products. We find that temperatures differ across individuals in the same location on the same day, sometimes by more than 5 degrees C within the same hour, and that some individuals experience sharp increases in heat exposure in the early morning or evening, potentially a result of cooking with solid fuels. In comparisons with the personal exposure measurements, we find stronger correlations with the modelled products (R2 of ~0.74) than with ambient monitors (R2 of ~0.6). We did not find evidence of systematic biases, which indicates that adjusting for discrepancies between personal and ambient exposure estimates is not straightforward. This study indicates a need for improved heat exposure assessment in epidemiological and burden of disease studies in India.

show abstract

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

Cited by 17 publications

References 56 publications

A randomized cross-over trial investigating differences in 24-h personal air and skin temperatures using wearable sensors between two climatologically contrasting settings

A randomized cross-over trial investigating differences in 24-h personal air and skin temperatures using wearable sensors between two climatologically contrasting settings

Heat Exposure among Adult Women in Rural Tamil Nadu, India

Heat Exposure Among Adult Women in Rural Tamil Nadu, India

Contact Info

Product

Resources

About