Associations between personal noise exposure and heart rate variability were modified by obesity and PM2.5: The study among obese and normal-weight adults (SONA)

Wang, Wanzhou; Zhang, Wenlou; Li, Luyi; Huang, Jing; Hu, Dayu; Liu, Shan; Xu, Jianfeng; Cui, Liyan; Liu, Junxiu; Wu, Shaowei; Guo, Xinbiao; Deng, Furong

doi:10.1016/j.envres.2022.113888

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…Indoor real-time noise in LAeqt was monitored using noise monitoring devices (model ASV5910 + , Hangzhouaihua Inc., Beijing, China). , The detection limits were 40–141 dB(A) with a measuring accuracy of ±1.5 dB(A) and a resolution of 0.1 dB(A). The monitoring data were averaged into 1 min segment records.…”

Section: Methodsmentioning

confidence: 99%

Indoor Environment and Health Effects: Protocol of an Exploratory Panel Study among Young Adults in China (China IEHE Study)

Liu,

Wang,

Zhao

et al. 2024

Environ. Health

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Section: Methodsmentioning

confidence: 99%

Indoor Environment and Health Effects: Protocol of an Exploratory Panel Study among Young Adults in China (China IEHE Study)

Liu,

Wang,

Zhao

et al. 2024

Environ. Health

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Obesity-related cardiometabolic indicators modify the associations of personal noise exposure with heart rate variability: A further investigation on the Study among Obese and Normal-weight Adults (SONA)

Wang,

Zhang,

et al. 2023

Environmental Pollution

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Evaluation of change in heart rate variability due to different soundscapes

Manohare

Rajasekar

et al. 2022

Noise Mapping

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Soundscapes affect the health and quality of life of humans. Noisy soundscapes have a negative impact on humans causing annoyance, sleep disturbance and cardiovascular issues. This paper analyses the change in heart rate variability (HRV) due to exposure of different soundscape stimuli. A total of 40 soundscape stimuli were collected from New Delhi India, which were grouped into three clusters, ‘Loud’, ‘Active’ and ‘Silent’, based on psychoacoustic indicators. Listening experiments were conducted with 25 healthy participants, during which electro-cardiography responses were collected as response variable. HRV analysis was performed to analyse the change in time domain (Heart rate, SDNN, NN50, pNN50) and frequency domain (VLF, LF, HF, LF/LF ratio) parameters. A significant change in heart rate is observed with an increase in loudness of stimuli. The change in HRV is analysed by considering noise sensitivity level of participants. A significant decrease in SDNN is noted for participants with high noise sensitivity. Frequency domain parameters of HRV did not exhibit a significant change due to noise exposure. A significant decrease in SDNN suggests imbalanced autonomic nervous system activation, which increases the risk of cardiovascular diseases, particularly for people with high noise sensitivity.

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Associations between personal noise exposure and heart rate variability were modified by obesity and PM2.5: The study among obese and normal-weight adults (SONA)

Cited by 3 publications

References 48 publications

Indoor Environment and Health Effects: Protocol of an Exploratory Panel Study among Young Adults in China (China IEHE Study)

Indoor Environment and Health Effects: Protocol of an Exploratory Panel Study among Young Adults in China (China IEHE Study)

Obesity-related cardiometabolic indicators modify the associations of personal noise exposure with heart rate variability: A further investigation on the Study among Obese and Normal-weight Adults (SONA)

Evaluation of change in heart rate variability due to different soundscapes

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