scholarly journals Personal exposure to ultrafine particles: Two-level statistical modeling of background exposure and time-activity patterns during three seasons

2014 ◽  
Vol 26 (1) ◽  
pp. 17-25 ◽  
Author(s):  
Veronika Deffner ◽  
Helmut Küchenhoff ◽  
Verena Maier ◽  
Mike Pitz ◽  
Josef Cyrys ◽  
...  
2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Laura Thompson ◽  
Maggie Sugg ◽  
Jennifer Runkle

Few studies have evaluated the benefits of reporting back participatory environmental monitoring results, particularly regarding participant motivation toward behavioural modification concerning workplace heat exposure. This study evaluated the individual data report-back for geo-located environmental temperature and time activity patterns in grounds maintenance crews in three geographic regions across the South-eastern United States. Surveys collected information on worker interpretation of their results and intended action(s) to reduce heat exposure. Worker response was highly positive, especially among more experienced workers who expressed a greater willingness to modify personal behaviour to reduce heat stress. Individual-level report-back of environmental data is a powerful tool for individuals to understand and act on their personal exposure to heat.


2018 ◽  
Vol 8 (10) ◽  
pp. 2007 ◽  
Author(s):  
Audrius Dėdelė ◽  
Auksė Miškinytė ◽  
Irma Česnakaitė ◽  
Regina Gražulevičienė

Time-activity patterns are an essential part of personal exposure assessment to various environmental factors. People move through different environments during the day and they have different daily activity patterns which are significantly influenced by individual characteristics and the residential environment. In this study, time spent in different microenvironments (MEs) were assessed for 125 participants for 7 consecutive days to evaluate the impact of individual characteristics on time-activity patterns in Kaunas, Lithuania. The data were collected with personal questionnaires and diaries. The global positioning system (GPS) sensor integrated into a smartphone was used to track daily movements and to assess time-activity patterns. The study results showed that behavioral and residential greenness have a statistically significant impact on time spent indoors. These results underline the high influence of the individual characteristics and environmental factors on time spent indoors, which is an important determinant for exposure assessment and health impact assessment studies.


Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S98
Author(s):  
Wook-Hee Choi ◽  
Kyung-Hwa Park ◽  
Won-Ho Yang ◽  
Ki-Young Lee ◽  
Chung-Sik Yoon ◽  
...  

2011 ◽  
Vol 45 (21) ◽  
pp. 3594-3602 ◽  
Author(s):  
Evi Dons ◽  
Luc Int Panis ◽  
Martine Van Poppel ◽  
Jan Theunis ◽  
Hanny Willems ◽  
...  

2021 ◽  
Vol 274 ◽  
pp. 116530
Author(s):  
Luca Boniardi ◽  
Evi Dons ◽  
Francesca Longhi ◽  
Chiara Scuffi ◽  
Laura Campo ◽  
...  

2006 ◽  
Vol 40 (29) ◽  
pp. 5685-5700 ◽  
Author(s):  
R EDWARDS ◽  
C SCHWEIZER ◽  
V LLACQUA ◽  
H LAI ◽  
M JANTUNEN ◽  
...  

2017 ◽  
Vol 43 (2) ◽  
pp. 157-166
Author(s):  
Soon-Won Jung ◽  
Seok-Yong Lee ◽  
Hyun jeong Kim ◽  
Wookhee Choi ◽  
Suejin Kim ◽  
...  

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