206. Total Noise Exposure Assessment of a Farm Family

2006 ◽  
Author(s):  
M. Witherspoon ◽  
S. Milz
Keyword(s):  
Exposure Assessment ◽  
Noise Exposure ◽  
Farm Family ◽  
Total Noise

scholarly journals Environmental noise exposure assessment from fireworks at festivals and pilgrimages in Northern Portugal

2021 ◽  
Vol 181 ◽  
pp. 108143
Author(s):  
Robson Silva Passos ◽  
Cecília Alexandra Abreu Coelho da Rocha ◽  
António Pedro Oliveira de Carvalho ◽  
Luiz Bueno da Silva ◽  
Ricardo Luís Alves da Silva
Keyword(s):  
Exposure Assessment ◽  
Noise Exposure ◽  
Environmental Noise ◽  
Northern Portugal

Evaluation methods for total noise exposure

1968 ◽  
Vol 7 (1) ◽  
pp. 106-115 ◽  
Author(s):  
E.J. Rathe ◽  
J. Muheim
Keyword(s):  
Noise Exposure ◽  
Evaluation Methods ◽  
Total Noise

scholarly journals Short-Term Impact of Traffic-Related Particulate Matter and Noise Exposure on Cardiac Function

2020 ◽  
Vol 17 (4) ◽  
pp. 1220 ◽  
Author(s):  
Jean Marie Buregeya ◽  
Philippe Apparicio ◽  
Jérémy Gelb
Keyword(s):  
Heart Rate ◽  
Particulate Matter ◽  
High Frequency ◽  
Noise Exposure ◽  
Personal Exposure ◽  
High Frequency Power ◽  
Short Term ◽  
Rr Intervals ◽  
Total Noise ◽  
Frequency Power

Exposure to traffic-related air pollution and noise exposure contributes to detrimental effects on cardiac function, but the underlying short-term effects related to their simultaneous personal exposure remain uncertain. The aim is to assess the impact of total inhaled dose of particulate matter and total noise exposure on the variations of electrocardiogram (ECG) parameters between pre-cycling and post-cycling periods. Mid-June 2019, we collected four participants’ personal exposure data related to traffic-related noise and particulate matter (PM2.5 and PM10) as well as ECG parameters. Several Bayesian linear models were built to examine a potential association between air pollutants and noise exposure and ECG parameters: heart rate (HR), standard deviation of the normal-to-normal intervals (SDNN), percentage of successive RR intervals that differ by more than 50 ms (pNN50), root mean square of successive RR interval differences (rMSSD), low-frequency power (LF), high-frequency power (HF), and ratio of low- to high-frequency power (LF/HF). We analyzed in total 255 5-min segments of RR intervals. We observed that per 1 µg increase in cumulative inhaled dose of PM2.5 was associated with 0.48 (95% CI: 0.22; 15.61) increase in variation of the heart rate, while one percent of total noise dose was associated with 0.49 (95% CI: 0.17; 0.83) increase in variation of heart rate between corresponding periods. Personal noise exposure was no longer significant once the PM2.5 was introduced in the whole model, whilst coefficients of the latter that were significant previously remained unchanged. Short-term exposure to traffic-related air and noise pollution did not, however, have an impact on heart rate variability.

scholarly journals Noise Exposure Assessment in a Dental School

2011 ◽  
Vol 2 (4) ◽  
pp. 348-354 ◽  
Author(s):  
Thitiworn Choosong ◽  
Wandee Kaimook ◽  
Ratchada Tantisarasart ◽  
Puwanai Sooksamear ◽  
Satith Chayaphum ◽  
...  
Keyword(s):  
Exposure Assessment ◽  
Noise Exposure ◽  
Dental School

Noise Exposure Assessment of Three Adolescents Living on Farms in Northwestern Ohio

2008 ◽  
Vol 29 (1) ◽  
pp. 042-048
Author(s):  
Sheryl Milz ◽  
Melisa Witherspoon ◽  
April Ames ◽  
J. Wilkins
Keyword(s):  
Exposure Assessment ◽  
Noise Exposure

Total Non-Occupational Noise Exposure of Construction Workers

2005 ◽  
Vol 36 (5) ◽  
pp. 12-19
Author(s):  
Richard Neitzel
Keyword(s):  
Noise Exposure ◽  
Occupational Exposures ◽  
Exposure Period ◽  
Construction Workers ◽  
Occupational Noise ◽  
Occupational Noise Exposure ◽  
Total Noise ◽  
Occupational Activities ◽  
Exposure Levels ◽  
Additional Exposure

Total non-occupational noise exposure levels were estimated for a group of 266 construction apprentices participating in a longitudinal study of noise and hearing loss. Subjects were interviewed regarding their exposure to “episodic” activities (e.g., concert attendance), and noise levels for these activities were obtained from a literature review. “Routine” activities were assessed using a combination of self-reported activity logs and non-occupational noise dosimetry measurements. Routine and episodic activity exposures were combined into estimated annual Leq exposure levels for the 6760 nominal non-occupational hours in a year (LAeq6760h). The LAeq6760h levels were then transformed into equivalent levels for a 2000 hour exposure period (LA2000hn), which allowed direct comparison to occupational risk criteria. The median LAeq6760h was 73 dBA, and the median LA2000hn was 78 dBA. Nineteen percent of LA2000hn non-occupational exposures exceeded 85 dBA, the generally recommended occupational limit. Firearms use could not be incorporated into the total noise exposure estimates. However, firearms users reported more exposure to other noisy non-occupational activities than did non-shooters, and had higher estimated exposure levels even without including their firearms exposure. Non-occupational noise exposures among most construction workers present little additional exposure when compared to their occupational exposures. However, they may contribute significantly to overall exposure in the subset of workers who frequently participate in selected noisy activities.

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