Panel study using novel sensing devices to assess associations of PM2.5 with heart rate variability and exposure sources

Lung, Shih-Chun Candice; Chen, Nathan; Hwang, Jing‐Shiang; Hu, Shu-Chuan; Wang, Wen-Cheng Vincent; Wen, Tzai‐Hung; Chun-hu, Liu

doi:10.1038/s41370-020-0254-y

Cited by 15 publications

(39 citation statements)

References 42 publications

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“…Personal, indoor, and outdoor PM 2.5 levels of 26 subjects were in the range of less than 10 µg/ m 3 to over 200 µg/m 3 at a 5-minutes resolution, similar to the findings of our previous works in Taiwan. 13,27 Home outdoor PM 2.5 and PM 1 levels were significantly higher than the corresponding home indoor and personal levels, with median I/O and P/O ratios of 0.75 and 0.57 for PM 2.5 at home, respectively, contrary to most of the reported findings (eg, 7, 37). As reviewed by Mohammed et al, 7 due to the impacts of indoor sources, most previous studies found I/O ratios higher than 1.…”

Section: Intensity Frequency and Duration Of Indoor Exposures Frocontrasting

confidence: 62%

“…The design of the AS‐LUNG‐P (270 USD), adapted for exposure assessment, has been described earlier 13 . In brief, it has the same set of sensors as AS‐LUNG‐I, plus a GPS, with several minor differences.…”

Section: Methodsmentioning

confidence: 99%

“…The design of the AS-LUNG-P (270 USD), adapted for exposure assessment, has been described earlier. 13 In brief, it has the same set of sensors as AS-LUNG-I, plus a GPS, with several minor differences. Designed to be portable, AS-LUNG-P has a smaller display screen, 135 × 70 × 40 mm in size, and is lighter, 153 g in weight (Figures S2 and S3).…”

Section: Practical Implicationsmentioning

confidence: 99%

“…Using outdoor ambient PM 2.5 levels as coarsely estimated PM 2.5 exposure surrogates, like most previous studies, faces the challenge of underestimating exposure levels and health damages 12 . Recent advances in low‐cost sensing (LCS) devices enable an accurate assessment of PM 2.5 exposure 13 and sources in indoor environments where people spend most of their time 14 . The current work takes advantage of LCS devices in characterizing indoor exposure to facilitate the formulation of effective behavior change recommendations and source reduction strategies for health risk reductions.…”

Section: Introductionmentioning

confidence: 99%

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Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices

Lung

Tsou

et al. 2020

Indoor Air

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Household air pollution is one of the leading environmental risk factors for death with particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM 2.5 ), a classified human carcinogen, 1 as a major concern. [2][3][4] In particular, Asia accounted for two-thirds of global premature deaths, with 1.64 million in 2017 due to household air pollution, 3,4 while the intensities, frequencies, durations, and contribution of distinct PM 2.5 sources in Asian households have seldom been evaluated. In addition, indoor infiltration of high ambient PM 2.5 levels in Asia 5 affecting Indoor Air Quality (IAQ) exacerbates exposure levels indoors. Characterizing PM 2.5 exposures due to these sources in Asian households is critical for both environmental health research and health advisories to reduce the associated health risks. 6,7 PM 2.5 exposures are usually higher than the ambient levels measured by regulatory monitoring stations. [7][8][9] Distinct sources in Asian households such as cooking and incense burning generate

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Section: Intensity Frequency and Duration Of Indoor Exposures Frocontrasting

confidence: 62%

Section: Methodsmentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices

Lung

Tsou

et al. 2020

Indoor Air

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“…The mean analyzable wear time was found to be 93.6%, and its waterresistant design enabled 73.5% of the participants to take a shower [41]. It was used in our earlier work to assess impacts on HRV from air pollution [42]. This work applied RootiRx for subjects recruited in a community close to wind turbines.…”

Section: Environmental Monitoring Devicesmentioning

confidence: 99%

Effects of low-frequency noise from wind turbines on heart rate variability in healthy individuals

Chiu

Lung

Chen

et al. 2021

Preprint

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Background: Wind power has been applied around the world as a source of clean energy. However, wind turbines generate low-frequency noise (LFN, 20-200 Hz), which poses health risks to nearby residents. This study aimed to assess heart rate variability (HRV) response to LFN exposure and to evaluate the LFN exposure (dB, LAeq) inside households located near wind turbines. Methods: Thirty subjects living within a 500 m radius of wind turbines were recruited. The field campaigns for LFN (LAeq) and HRV monitoring were carried out in July and December 2018. A generalized additive mixed model was employed to evaluate the relationship between HRV changes and LFN. Results: The results suggested that the standard deviations of all normal to normal R-R intervals reduced significantly by 3.39% with a 95% CI = (0.15%, 6.52%) per 7.86 dB (LAeq) of LFN in the exposure range of 38.2-57.1 dB (LAeq)—i.e., a 0.43% reduction per 1 dB (LAeq). The results of household monitoring showed that the indoor LFN exposure (LAeq) ranged between 30.7 and 43.4 dB (LAeq) at a distance of 124-330 m from wind turbines. The worst case had 99.6%, 89.1%, and 96.8% at daytime, evening, and nighttime, respectively, exceeding the LFN standards of the Taiwan Environmental Protection Administration. Moreover, households built with concrete and equipped with airtight windows showed the highest LFN difference of 13.7 dB between indoors and outdoors. Conclusion: This work is the first study assessing the HRV impacts from turbine LFN in Asia, where wind turbines installed within short distances from residential areas. In view of the adverse health impacts of LFN exposure, there should be regulations on the requisite distances of wind turbines from residential communities for health protection.

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A community-based study on associations between PM2.5 and PM1 exposure and heart rate variability using wearable low-cost sensing devices

Tsou

Lung

Shen

et al. 2021

Environmental Pollution

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Panel study using novel sensing devices to assess associations of PM2.5 with heart rate variability and exposure sources

Cited by 15 publications

References 42 publications

Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices

Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices

Effects of low-frequency noise from wind turbines on heart rate variability in healthy individuals

A community-based study on associations between PM2.5 and PM1 exposure and heart rate variability using wearable low-cost sensing devices

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Panel study using novel sensing devices to assess associations of PM2.5 with heart rate variability and exposure sources

Cited by 15 publications

References 42 publications

Concurrent assessment of personal, indoor, and outdoor PM 2.5 and PM 1 levels and source contributions using novel low‐cost sensing devices

Concurrent assessment of personal, indoor, and outdoor PM 2.5 and PM 1 levels and source contributions using novel low‐cost sensing devices

Effects of low-frequency noise from wind turbines on heart rate variability in healthy individuals

A community-based study on associations between PM2.5 and PM1 exposure and heart rate variability using wearable low-cost sensing devices

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Product

Resources

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Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices

Concurrent assessment of personal, indoor, and outdoor PM _2.5 and PM ₁ levels and source contributions using novel low‐cost sensing devices