Literature DB >> 27053775

Pilot study of methods and equipment for in-home noise level measurements.

Richard L Neitzel1, Maire S A Heikkinen2, Christopher C Williams2, Susan Marie Viet2, Michael Dellarco3.   

Abstract

Knowledge of the auditory and non-auditory effects of noise has increased dramatically over the past decade, but indoor noise exposure measurement methods have not advanced appreciably, despite the introduction of applicable new technologies. This study evaluated various conventional and smart devices for exposure assessment in the National Children's Study. Three devices were tested: a sound level meter (SLM), a dosimeter, and a smart device with a noise measurement application installed. Instrument performance was evaluated in a series of semi-controlled tests in office environments over 96-hour periods, followed by measurements made continuously in two rooms (a child's bedroom and a most used room) in nine participating homes over a 7-day period with subsequent computation of a range of noise metrics. The SLMs and dosimeters yielded similar A-weighted average noise levels. Levels measured by the smart devices often differed substantially (showing both positive and negative bias, depending on the metric) from those measured via SLM and dosimeter, and demonstrated attenuation in some frequency bands in spectral analysis compared to SLM results. Virtually all measurements exceeded the Environmental Protection Agency's 45 dBA day-night limit for indoor residential exposures. The measurement protocol developed here can be employed in homes, demonstrates the possibility of measuring long-term noise exposures in homes with technologies beyond traditional SLMs, and highlights potential pitfalls associated with measurements made by smart devices.

Entities:  

Keywords:  National Children's Study; exposure assessment; mHealth; mobile app; noise; smartphone; sound level

Year:  2015        PMID: 27053775      PMCID: PMC4820284          DOI: 10.1016/j.apacoust.2015.08.018

Source DB:  PubMed          Journal:  Appl Acoust        ISSN: 0003-682X            Impact factor:   2.639


  34 in total

Review 1.  Noise pollution: non-auditory effects on health.

Authors:  Stephen A Stansfeld; Mark P Matheson
Journal:  Br Med Bull       Date:  2003       Impact factor: 4.291

Review 2.  Auditory and non-auditory effects of noise on health.

Authors:  Mathias Basner; Wolfgang Babisch; Adrian Davis; Mark Brink; Charlotte Clark; Sabine Janssen; Stephen Stansfeld
Journal:  Lancet       Date:  2013-10-30       Impact factor: 79.321

3.  The action plan for noise reduction in Modena: methods, effects and perspectives.

Authors:  D Campolieti; D Bertoni
Journal:  Radiat Prot Dosimetry       Date:  2009-11-05       Impact factor: 0.972

4.  Evaluation of smartphone sound measurement applications.

Authors:  Chucri A Kardous; Peter B Shaw
Journal:  J Acoust Soc Am       Date:  2014-04       Impact factor: 1.840

5.  Annoyance Caused by Exposure to Road Traffic Noise: An Update.

Authors:  Djamel Ouis
Journal:  Noise Health       Date:  2002       Impact factor: 0.867

6.  Assessment of Noise Exposure to Children: Considerations for the National Children's Study.

Authors:  Susan Marie Viet; Michael Dellarco; Dorr G Dearborn; Richard Neitzel
Journal:  J Pregnancy Child Health       Date:  2014-10

Review 7.  Noise and communication: a three-year update.

Authors:  Anthony J Brammer; Chantal Laroche
Journal:  Noise Health       Date:  2012 Nov-Dec       Impact factor: 0.867

8.  Children's annoyance reactions to aircraft and road traffic noise.

Authors:  Elise E M M van Kempen; Irene van Kamp; Rebecca K Stellato; Isabel Lopez-Barrio; Mary M Haines; Mats E Nilsson; Charlotte Clark; Danny Houthuijs; Bert Brunekreef; Birgitta Berglund; Stephen A Stansfeld
Journal:  J Acoust Soc Am       Date:  2009-02       Impact factor: 1.840

9.  Environmental noise pollution in the United States: developing an effective public health response.

Authors:  Monica S Hammer; Tracy K Swinburn; Richard L Neitzel
Journal:  Environ Health Perspect       Date:  2013-12-05       Impact factor: 9.031

10.  Road traffic noise frequency and prevalent hypertension in Taichung, Taiwan: a cross-sectional study.

Authors:  Ta-Yuan Chang; Rob Beelen; Su-Fei Li; Tzu-I Chen; Yen-Ju Lin; Bo-Ying Bao; Chiu-Shong Liu
Journal:  Environ Health       Date:  2014-05-16       Impact factor: 5.984

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