1
|
Lung SCC, Tsou MCM, Cheng CHC, Setyawati W. Peaks, sources, and immediate health impacts of PM 2.5 and PM 1 exposure in Indonesia and Taiwan with microsensors. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00689-4. [PMID: 38806636 DOI: 10.1038/s41370-024-00689-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Microsensors have been used for the high-resolution particulate matter (PM) monitoring. OBJECTIVES This study applies PM and health microsensors with the objective of assessing the peak exposure, sources, and immediate health impacts of PM2.5 and PM1 in two Asian countries. METHODS Exposure assessment and health evaluation were carried out for 50 subjects in 2018 and 2019 in Bandung, Indonesia and for 55 subjects in 2019 and 2020 in Kaohsiung, Taiwan. Calibrated AS-LUNG sets and medical-certified RootiRx® sensors were used to assess PM and heart-rate variability (HRV), respectively. RESULTS Overall, the 5-min mean exposure of PM2.5 and PM1 was 30.4 ± 20.0 and 27.0 ± 15.7 µg/m3 in Indonesia and 14.9 ± 11.2 and 13.9 ± 9.8 µg/m3 in Taiwan, respectively. The maximum 5-min peak PM2.5 and PM1 exposures were 473.6 and 154.0 µg/m3 in Indonesia and 467.4 and 217.7 µg/m3 in Taiwan, respectively. Community factories and mosquito coil burning are the two most important exposure sources, resulting in, on average, 4.73 and 5.82 µg/m3 higher PM2.5 exposure increments for Indonesian subjects and 10.1 and 9.82 µg/m3 higher PM2.5 exposure for Taiwanese subjects compared to non-exposure periods, respectively. Moreover, agricultural waste burning and incense burning were another two important exposure sources, but only in Taiwan. Furthermore, 5-min PM2.5 and PM1 exposure had statistically significantly immediate impacts on the HRV indices and heart rates of all subjects in Taiwan and the scooter subjects in Indonesia with generalized additive mixed models. The HRV change for a 10 µg/m3 increase in PM2.5 and PM1 ranged from -0.9% to -2.5% except for ratio of low-high frequency, with greater impacts associated with PM1 than PM2.5 in both countries. IMPACT STATEMENT This work highlights the ability of microsensors to capture high peaks of PM2.5 and PM1, to identify exposure sources through the integration of activity records, and to assess immediate changes in heart rate variability for a panel of approximately 50 subjects in Indonesia and Taiwan. This study stands out as one of the few to demonstrate the immediate health impacts of peak PM, complementing to the short-term (days or weeks) or long-term effects (months or longer) assessed in most epidemiological studies. The technology/methodology employed offer great potential for researchers in the resource-limited countries with high PM2.5 and PM1 levels.
Collapse
Affiliation(s)
- Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan, ROC.
- Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan, ROC.
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan, ROC.
| | | | | | - Wiwiek Setyawati
- Research Center for Climate and Atmosphere, National Research and Innovation Agency (BRIN), Kota Bandung, Indonesia
| |
Collapse
|
2
|
Masoumian Hosseini M, Masoumian Hosseini ST, Qayumi K, Hosseinzadeh S, Sajadi Tabar SS. Smartwatches in healthcare medicine: assistance and monitoring; a scoping review. BMC Med Inform Decis Mak 2023; 23:248. [PMID: 37924029 PMCID: PMC10625201 DOI: 10.1186/s12911-023-02350-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/22/2023] [Indexed: 11/06/2023] Open
Abstract
Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.
Collapse
Affiliation(s)
- Mohsen Masoumian Hosseini
- Department of E-Learning in Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
- CyberPatient Research Affiliate, Interactive Health International, Department of the surgery, University of British Columbia, Vancouver, Canada
| | - Seyedeh Toktam Masoumian Hosseini
- CyberPatient Research Affiliate, Interactive Health International, Department of the surgery, University of British Columbia, Vancouver, Canada.
- Department of Nursing, School of Nursing and Midwifery, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
| | - Karim Qayumi
- Professor at Department of Surgery, University of British Columbia, Vancouver, Canada
| | - Shahriar Hosseinzadeh
- CyberPatient Research Coordinator, Interactive Health International, Department of Surgery, University of British Columbia, Vancouver, Canada
| | | |
Collapse
|
3
|
HRV Monitoring Using Commercial Wearable Devices as a Health Indicator for Older Persons during the Pandemic. SENSORS 2022; 22:s22052001. [PMID: 35271148 PMCID: PMC8915092 DOI: 10.3390/s22052001] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 01/18/2023]
Abstract
Remote monitoring platforms based on advanced health sensors have the potential to become important tools during the COVID-19 pandemic, supporting the reduction in risks for affected populations such as the elderly. Current commercially available wearable devices still have limitations to deal with heart rate variability (HRV), an important health indicator of human aging. This study analyzes the role of a remote monitoring system designed to support health services to older people during the complete course of the COVID-19 pandemic in Brazil, since its beginning in Brazil in March 2020 until November 2021, based on HRV. Using different levels of analysis and data, we validated HRV parameters by comparing them with reference sensors and tools in HRV measurements. We compared the results obtained for the cardiac modulation data in time domain using samples of 10 elderly people’s HRV data from Fitbit Inspire HR with the results provided by Kubios for the same population using a cardiac belt, with the data divided into train and test, where 75% of the data were used for training the models, with the remaining 25% as a test set for evaluating the final performance of the models. The results show that there is very little difference between the results obtained by the remote monitoring system compared with Kubios, indicating that the data obtained from these devices might provide accurate results in evaluating HRV in comparison with gold standard devices. We conclude that the application of the methods and techniques used and reported in this study are useful for the creation and validation of HRV indicators in time series obtained by means of wearable devices based on photoplethysmography sensors; therefore, they can be incorporated into remote monitoring processes as seen during the pandemic.
Collapse
|
4
|
Lung SCC, Thi Hien T, Cambaliza MOL, Hlaing OMT, Oanh NTK, Latif MT, Lestari P, Salam A, Lee SY, Wang WCV, Tsou MCM, Cong-Thanh T, Cruz MT, Tantrakarnapa K, Othman M, Roy S, Dang TN, Agustian D. Research Priorities of Applying Low-Cost PM 2.5 Sensors in Southeast Asian Countries. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031522. [PMID: 35162543 PMCID: PMC8835170 DOI: 10.3390/ijerph19031522] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/24/2022] [Accepted: 01/26/2022] [Indexed: 12/19/2022]
Abstract
The low-cost and easy-to-use nature of rapidly developed PM2.5 sensors provide an opportunity to bring breakthroughs in PM2.5 research to resource-limited countries in Southeast Asia (SEA). This review provides an evaluation of the currently available literature and identifies research priorities in applying low-cost sensors (LCS) in PM2.5 environmental and health research in SEA. The research priority is an outcome of a series of participatory workshops under the umbrella of the International Global Atmospheric Chemistry Project–Monsoon Asia and Oceania Networking Group (IGAC–MANGO). A literature review and research prioritization are conducted with a transdisciplinary perspective of providing useful scientific evidence in assisting authorities in formulating targeted strategies to reduce severe PM2.5 pollution and health risks in this region. The PM2.5 research gaps that could be filled by LCS application are identified in five categories: source evaluation, especially for the distinctive sources in the SEA countries; hot spot investigation; peak exposure assessment; exposure–health evaluation on acute health impacts; and short-term standards. The affordability of LCS, methodology transferability, international collaboration, and stakeholder engagement are keys to success in such transdisciplinary PM2.5 research. Unique contributions to the international science community and challenges with LCS application in PM2.5 research in SEA are also discussed.
Collapse
Affiliation(s)
- Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan; (S.-Y.L.); (W.-C.V.W.); (M.-C.M.T.)
- Department of Atmospheric Sciences, National Taiwan University, Taipei 106, Taiwan
- Correspondence: ; Tel.: +886-2-27875908
| | - To Thi Hien
- Faculty of Environment, University of Science, Ho Chi Minh City 700000, Vietnam; (T.T.H.); (T.C.-T.)
- Vietnam National University, Ho Chi Minh City 700000, Vietnam
| | - Maria Obiminda L. Cambaliza
- Department of Physics, Ateneo de Manila University, Quezon City 1108, Philippines;
- Air Quality Dynamics Laboratory, Manila Observatory, Quezon City 1108, Philippines;
| | | | - Nguyen Thi Kim Oanh
- Environmental Engineering and Management, SERD, Asian Institute of Technology, Pathumthani 12120, Thailand;
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia;
| | - Puji Lestari
- Faculty of Civil and Environmental Engineering, Bandung Institute of Technology, Bandung 40132, Indonesia;
| | - Abdus Salam
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh; (A.S.); (S.R.)
| | - Shih-Yu Lee
- Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan; (S.-Y.L.); (W.-C.V.W.); (M.-C.M.T.)
| | - Wen-Cheng Vincent Wang
- Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan; (S.-Y.L.); (W.-C.V.W.); (M.-C.M.T.)
| | - Ming-Chien Mark Tsou
- Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan; (S.-Y.L.); (W.-C.V.W.); (M.-C.M.T.)
| | - Tran Cong-Thanh
- Faculty of Environment, University of Science, Ho Chi Minh City 700000, Vietnam; (T.T.H.); (T.C.-T.)
- College of Public Health, National Taiwan University, Taipei 100, Taiwan
| | | | - Kraichat Tantrakarnapa
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand;
| | - Murnira Othman
- Institute for Environment and Development (Lestari), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia;
| | - Shatabdi Roy
- Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh; (A.S.); (S.R.)
| | - Tran Ngoc Dang
- Department of Environmental Health, Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh 700000, Vietnam;
| | - Dwi Agustian
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung 40171, Indonesia;
| |
Collapse
|