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Nath P, Mahtaba KR, Ray A. Fluorescence-Based Portable Assays for Detection of Biological and Chemical Analytes. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23115053. [PMID: 37299780 DOI: 10.3390/s23115053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/16/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023]
Abstract
Fluorescence-based detection techniques are part of an ever-expanding field and are widely used in biomedical and environmental research as a biosensing tool. These techniques have high sensitivity, selectivity, and a short response time, making them a valuable tool for developing bio-chemical assays. The endpoint of these assays is defined by changes in fluorescence signal, in terms of its intensity, lifetime, and/or shift in spectrum, which is monitored using readout devices such as microscopes, fluorometers, and cytometers. However, these devices are often bulky, expensive, and require supervision to operate, which makes them inaccessible in resource-limited settings. To address these issues, significant effort has been directed towards integrating fluorescence-based assays into miniature platforms based on papers, hydrogels, and microfluidic devices, and to couple these assays with portable readout devices like smartphones and wearable optical sensors, thereby enabling point-of-care detection of bio-chemical analytes. This review highlights some of the recently developed portable fluorescence-based assays by discussing the design of fluorescent sensor molecules, their sensing strategy, and the fabrication of point-of-care devices.
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Affiliation(s)
- Peuli Nath
- Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA
| | - Kazi Ridita Mahtaba
- Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA
| | - Aniruddha Ray
- Department of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA
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Breen MS, Xu Y, Christopher Frey H, Breen M, Isakov V. Microenvironment Tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation using smartphone data. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:407-415. [PMID: 36526873 DOI: 10.1038/s41370-022-00514-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/02/2022] [Accepted: 12/05/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND A critical aspect of air pollution exposure assessments is determining the time spent in various microenvironments (ME), which can have substantially different pollutant concentrations. We previously developed and evaluated a ME classification model, called Microenvironment Tracker (MicroTrac), to estimate time of day and duration spent in eight MEs (indoors and outdoors at home, work, school; inside vehicles; other locations) based on input data from global positioning system (GPS) loggers. OBJECTIVE In this study, we extended MicroTrac and evaluated the ability of using geolocation data from smartphones to determine the time spent in the MEs. METHOD We performed a panel study, and the MicroTrac estimates based on data from smartphones and GPS loggers were compared to 37 days of diary data across five participants. RESULTS The MEs were correctly classified for 98.1% and 98.3% of the time spent by the participants using smartphones and GPS loggers, respectively. SIGNIFICANCE Our study demonstrates the extended capability of using ubiquitous smartphone data with MicroTrac to help reduce time-location uncertainty in air pollution exposure models for epidemiologic and exposure field studies.
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Affiliation(s)
- Michael S Breen
- Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA.
| | - Yadong Xu
- Center for Public Health and Environmental Assessment, ORAU/U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA
| | - H Christopher Frey
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, USA
| | - Miyuki Breen
- Center for Public Health and Environment Assessment, ORISE/U.S. Environmental Protection Agency, Chapel Hill, NC, 27514, USA
| | - Vlad Isakov
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA
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Kouis P, Michanikou A, Galanakis E, Michaelidou E, Dimitriou H, Perez J, Kinni P, Achilleos S, Revvas E, Stamatelatos G, Zacharatos H, Savvides C, Vasiliadou E, Kalivitis N, Chrysanthou A, Tymvios F, Papatheodorou SI, Koutrakis P, Yiallouros PK. Responses of schoolchildren with asthma to recommendations to reduce desert dust exposure: Results from the LIFE-MEDEA intervention project using wearable technology. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160518. [PMID: 36573449 DOI: 10.1016/j.scitotenv.2022.160518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/14/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
Current public health recommendations for desert dust storms (DDS) events focus on vulnerable population groups, such as children with asthma, and include advice to stay indoors and limit outdoor physical activity. To date, no scientific evidence exists on the efficacy of these recommendations in reducing DDS exposure. We aimed to objectively assess the behavioral responses of children with asthma to recommendations for reduction of DDS exposure. In two heavily affected by DDS Mediterranean regions (Cyprus & Crete, Greece), schoolchildren with asthma (6-11 years) were recruited from primary schools and were randomized to control (business as usual scenario) and intervention groups. All children were equipped with pedometer and GPS sensors embedded in smartwatches for objective real-time data collection from inside and outside their classroom and household settings. Interventions included the timely communication of personal DDS alerts accompanied by exposure reduction recommendations to both the parents and school-teachers of children in the intervention group. A mixed effect model was used to assess changes in daily levels of time spent, and steps performed outside classrooms and households, between non-DDS and DDS days across the study groups. The change in the time spent outside classrooms and homes, between non-DDS and DDS days, was 37.2 min (pvalue = 0.098) in the control group and -62.4 min (pvalue < 0.001) in the intervention group. The difference in the effects between the two groups was statistically significant (interaction pvalue < 0.001). The change in daily steps performed outside classrooms and homes, was -495.1 steps (pvalue = 0.350) in the control group and -1039.5 (pvalue = 0.003) in the intervention group (interaction pvalue = 0.575). The effects on both the time and steps performed outside were more profound during after-school hours. To summarize, among children with asthma, we demonstrated that timely personal DDS alerts and detailed recommendations lead to significant behavioral changes in contrast to the usual public health recommendations.
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Affiliation(s)
- Panayiotis Kouis
- Respiratory Physiology Laboratory, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Antonis Michanikou
- Respiratory Physiology Laboratory, Medical School, University of Cyprus, Nicosia, Cyprus
| | | | | | - Helen Dimitriou
- Medical School, University of Crete, Heraklion, Crete, Greece
| | - Julietta Perez
- Medical School, University of Crete, Heraklion, Crete, Greece
| | - Paraskevi Kinni
- Respiratory Physiology Laboratory, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Souzana Achilleos
- Department of Primary Care and Population Health, University of Nicosia Medical School, Nicosia, Cyprus; Cyprus International Institute for Environmental & Public Health, Cyprus University of Technology, Limassol, Cyprus
| | | | | | | | - Chrysanthos Savvides
- Air Quality and Strategic Planning Section, Department of Labour Inspection, Ministry of Labour and Social Insurance, Nicosia, Cyprus
| | - Emily Vasiliadou
- Air Quality and Strategic Planning Section, Department of Labour Inspection, Ministry of Labour and Social Insurance, Nicosia, Cyprus
| | - Nikos Kalivitis
- Department of Chemistry, University of Crete, Heraklion, Crete, Greece
| | | | | | - Stefania I Papatheodorou
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard TH Chan School of Public Health, Harvard University, Boston, USA
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Understanding the interaction between human activities and physical health under extreme heat environment in Phoenix, Arizona. Health Place 2023; 79:102691. [PMID: 34656430 DOI: 10.1016/j.healthplace.2021.102691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 11/22/2022]
Abstract
Long-term community resilience, which privileges a long view look at chronic issues influencing communities, has begun to draw more attention from city planners, researchers and policymakers. In Phoenix, resilience to heat is both a necessity and a way of life. In this paper, we attempt to understand how residents living in Phoenix experience and behave in an extreme heat environment. To achieve this goal, we introduced a smartphone application (ActivityLog) to study spatio-temporal dynamics of human interaction with urban environments. Compared with traditional paper activity log results we have in this study, the smartphone-based activity log has higher data quality in terms of total number of logs, response rates, accuracy, and connection with GPS and temperature sensors. The research results show that low-income residents in Phoenix mostly stay home during the summer but experience a relatively high indoor temperature due to the lack/low efficiency of air-conditioning (AC) equipment or lack of funds to run AC frequently. Middle-class residents have a better living experience in Phoenix with better mobility with automobiles and good quality of AC. The research results help us better understand user behaviors for daily log activities and how human activities interact with the urban thermal environment, informing further planning policy development. The ActivityLog smartphone application is also presented as an open-source prototype to design a similar urban climate citizen science program in the future.
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Christensen A, Griffiths C, Hobbs M, Gorse C, Radley D. Investigating where adolescents engage in moderate to vigorous physical activity and sedentary behaviour: An exploratory study. PLoS One 2022; 17:e0276934. [PMID: 36472978 PMCID: PMC9725162 DOI: 10.1371/journal.pone.0276934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 10/17/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND There is a persistent lack of understanding on the influence of the environment on behaviour and health. While the environment is considered an important modifiable determinant of health behaviour, past research assessing environments often relies on static, researcher-defined buffers of arbitrary distance. This likely leads to misrepresentation of true environmental exposures. This exploratory study aims to compare researcher-defined and self-drawn buffers in reflecting the spaces and time adolescents engage in physical activity (PA) and sedentary behaviour. It also investigates if adolescent's access the PA facility and greenspace nearest their home or school for PA, as well as examine how much time adolescents spent in PA at any PA facilities and greenspaces. METHODS Adolescents (aged 14-18 years; n = 34) were recruited from schools in West Yorkshire, England. Seven consecutive days of global positioning system (GPS) and accelerometer data were collected at 15 second intervals. Using ArcGIS, we compared 30 different researcher-defined buffers including: radial, network and ellipse buffers at 400m, 800m, 1000m, 1600m and 3000m and participant-defined self-drawn neighbourhoods to objectively measured PA and sedentary space and PA time. Location of PA was also compared to Points of Interest data to determine if adolescents use the nearest PA facility or greenspace to their home or school and to examine how much PA was undertaken within these locations. RESULTS Our exploratory findings show the inadequacy of researcher-defined buffer size in assessing MVPA space or sedentary space. Furthermore, less than 35% of adolescents used the greenspaces or PA facilities nearest to their home or school. Approximately 50% of time spent in PA did not occur within the home, school, PA facility, or greenspace environments. CONCLUSION Our exploratory findings help to begin to quantify the inadequacy of researcher-defined, and self-drawn buffers in capturing adolescent MVPA and sedentary space, as well as time spent in PA. Adolescents often do not use PA facilities and greenspaces nearest their home and school and a large proportion of PA is achieved outside PA facilities and greenspaces. Further research with larger samples are needed to confirm the findings of this exploratory study.
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Affiliation(s)
- Alex Christensen
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
- * E-mail:
| | - Claire Griffiths
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Matthew Hobbs
- Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - Chris Gorse
- School of Built Environment and Engineering, Carnegie, Leeds Beckett University, Leeds, United Kingdom
| | - Duncan Radley
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
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Russell HS, Kappelt N, Fessa D, Frederickson LB, Bagkis E, Apostolidis P, Karatzas K, Schmidt JA, Hertel O, Johnson MS. Particulate air pollution in the Copenhagen metro part 2: Low-cost sensors and micro-environment classification. ENVIRONMENT INTERNATIONAL 2022; 170:107645. [PMID: 36434885 DOI: 10.1016/j.envint.2022.107645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 10/12/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
In this study fine particulate matter (PM2.5) levels throughout the Copenhagen metro system are measured for the first time and found to be ∼10 times the roadside levels in Copenhagen. In this Part 2 article, low-cost sensor (LCS) nodes designed for personal-exposure monitoring are tested against a conventional mid-range device (TSI DustTrak), and gravimetric methods. The nodes were found to be effective for personal exposure measurements inside the metro system, with R2 values of > 0.8 at 1-min and > 0.9 at 5-min time-resolution, with an average slope of 1.01 in both cases, in comparison to the reference, which is impressive for this dynamic environment. Micro-environment (ME) classification techniques are also developed and tested, involving the use of auxiliary sensors, measuring light, carbon dioxide, humidity, temperature and motion. The output from these sensors is used to distinguish between specific MEs, namely, being aboard trains travelling above- or under- ground, with 83 % accuracy, and determining whether sensors were aboard a train or stationary at a platform with 92 % accuracy. This information was used to show a 143 % increase in mean PM2.5 concentration for underground sections relative to overground, and 22 % increase for train vs. platform measurements. The ME classification method can also be used to improve calibration models, assist in accurate exposure assessment based on detailed time-activity patterns, and facilitate field studies that do not require personnel to record time-activity diaries.
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Affiliation(s)
- Hugo S Russell
- Department of Environmental Science, Aarhus University, DK-4000 Roskilde, Denmark; AirLabs, Nannasgade 28, DK-2200 Copenhagen N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, DK-4000 Roskilde, Denmark
| | - Niklas Kappelt
- AirLabs, Nannasgade 28, DK-2200 Copenhagen N, Denmark; Department of Chemistry, Copenhagen University, DK-2100 Copenhagen, Denmark
| | - Dafni Fessa
- Department of Environmental Science, Aarhus University, DK-4000 Roskilde, Denmark
| | - Louise B Frederickson
- Department of Environmental Science, Aarhus University, DK-4000 Roskilde, Denmark; AirLabs, Nannasgade 28, DK-2200 Copenhagen N, Denmark; Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, DK-4000 Roskilde, Denmark
| | - Evangelos Bagkis
- Environmental Informatics Research Group, School of Mechanical Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
| | - Pantelis Apostolidis
- Environmental Informatics Research Group, School of Mechanical Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
| | - Kostas Karatzas
- Environmental Informatics Research Group, School of Mechanical Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece
| | | | - Ole Hertel
- Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, DK-4000 Roskilde, Denmark; Department of Ecoscience, Aarhus University, DK-4000 Roskilde, Denmark
| | - Matthew S Johnson
- AirLabs, Nannasgade 28, DK-2200 Copenhagen N, Denmark; Department of Chemistry, Copenhagen University, DK-2100 Copenhagen, Denmark.
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Christensen A, Radley D, Hobbs M, Gorse C, Griffiths C. Investigating how researcher-defined buffers and self-drawn neighbourhoods capture adolescent availability to physical activity facilities and greenspaces: An exploratory study. Spat Spatiotemporal Epidemiol 2022; 43:100538. [PMID: 36460456 DOI: 10.1016/j.sste.2022.100538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/16/2022] [Accepted: 09/13/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Modifying the environment is considered an effective population-level approach for increasing healthy behaviours, but associations remain ambiguous. This exploratory study aims to compare researcher-defined buffers and self-drawn neighbourhoods (SDN) to objectively measured availability of physical activity (PA) facilities and greenspaces in adolescents. METHODS Seven consecutive days of GPS data were collected in an adolescent sample of 14-18 year olds (n = 69). Using Points of Interest and greenspace data, availability of PA opportunities within activity spaces were determined. We compared 30 different definitions of researcher-defined neighbourhoods and SDNs to objectively measured availability. RESULTS Findings showed low agreement for all researcher-defined buffers in measuring the availability of PA facilities in activity spaces. However, results were less clear for greenspace. SDNs also demonstrate low agreement for capturing availability to the PA environment. CONCLUSION This exploratory study highlights the inadequacy of researcher-defined buffers and SDNs to define availability to environmental features.
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Affiliation(s)
- A Christensen
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK.
| | - D Radley
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK
| | - M Hobbs
- Faculty of Health, University of Canterbury, Christchurch, Canterbury, New Zealand; GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, Canterbury, New Zealand
| | - C Gorse
- School of Built Environment and Engineering, Carnegie, Leeds Beckett University, Leeds, LS6 3QT, UK
| | - C Griffiths
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom, LS6 3QT, UK
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Beukenhorst AL, Sergeant JC, Schultz DM, McBeth J, Yimer BB, Dixon WG. Understanding the Predictors of Missing Location Data to Inform Smartphone Study Design: Observational Study. JMIR Mhealth Uhealth 2021; 9:e28857. [PMID: 34783661 PMCID: PMC8663442 DOI: 10.2196/28857] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 06/11/2021] [Accepted: 08/27/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Smartphone location data can be used for observational health studies (to determine participant exposure or behavior) or to deliver a location-based health intervention. However, missing location data are more common when using smartphones compared to when using research-grade location trackers. Missing location data can affect study validity and intervention safety. OBJECTIVE The objective of this study was to investigate the distribution of missing location data and its predictors to inform design, analysis, and interpretation of future smartphone (observational and interventional) studies. METHODS We analyzed hourly smartphone location data collected from 9665 research participants on 488,400 participant days in a national smartphone study investigating the association between weather conditions and chronic pain in the United Kingdom. We used a generalized mixed-effects linear model with logistic regression to identify whether a successfully recorded geolocation was associated with the time of day, participants' time in study, operating system, time since previous survey completion, participant age, sex, and weather sensitivity. RESULTS For most participants, the app collected a median of 2 out of a maximum of 24 locations (1760/9665, 18.2% of participants), no location data (1664/9665, 17.2%), or complete location data (1575/9665, 16.3%). The median locations per day differed by the operating system: participants with an Android phone most often had complete data (a median of 24/24 locations) whereas iPhone users most often had a median of 2 out of 24 locations. The odds of a successfully recorded location for Android phones were 22.91 times higher than those for iPhones (95% CI 19.53-26.87). The odds of a successfully recorded location were lower during weekends (odds ratio [OR] 0.94, 95% CI 0.94-0.95) and nights (OR 0.37, 95% CI 0.37-0.38), if time in study was longer (OR 0.99 per additional day in study, 95% CI 0.99-1.00), and if a participant had not used the app recently (OR 0.96 per additional day since last survey entry, 95% CI 0.96-0.96). Participant age and sex did not predict missing location data. CONCLUSIONS The predictors of missing location data reported in our study could inform app settings and user instructions for future smartphone (observational and interventional) studies. These predictors have implications for analysis methods to deal with missing location data, such as imputation of missing values or case-only analysis. Health studies using smartphones for data collection should assess context-specific consequences of high missing data, especially among iPhone users, during the night and for disengaged participants.
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Affiliation(s)
- Anna L Beukenhorst
- Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Jamie C Sergeant
- Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.,Centre for Biostatistics, University of Manchester, Manchester, United Kingdom
| | - David M Schultz
- Centre for Atmospheric Science, Department of Earth and Environmental Sciences, University of Manchester, Manchester, United Kingdom.,Centre for Crisis Studies and Mitigation, University of Manchester, Manchester, United Kingdom
| | - John McBeth
- Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Belay B Yimer
- Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
| | - Will G Dixon
- Centre for Epidemiology Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom.,NIHR Greater Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom
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Knight SR, Ng N, Tsanas A, Mclean K, Pagliari C, Harrison EM. Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. NPJ Digit Med 2021; 4:157. [PMID: 34773071 PMCID: PMC8590052 DOI: 10.1038/s41746-021-00525-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/23/2021] [Indexed: 12/11/2022] Open
Abstract
Complications following surgery are common and frequently occur the following discharge. Mobile and wearable digital health interventions (DHI) provide an opportunity to monitor and support patients during their postoperative recovery. Lack of high-quality evidence is often cited as a barrier to DHI implementation. This review captures and appraises the current use, evidence base and reporting quality of mobile and wearable DHI following surgery. Keyword searches were performed within Embase, Cochrane Library, Web of Science and WHO Global Index Medicus databases, together with clinical trial registries and Google scholar. Studies involving patients undergoing any surgery requiring skin incision where postoperative outcomes were measured using a DHI following hospital discharge were included, with DHI defined as mobile and wireless technologies for health to improve health system efficiency and health outcomes. Methodological reporting quality was determined using the validated mobile health evidence reporting and assessment (mERA) guidelines. Bias was assessed using the Cochrane Collaboration tool for randomised studies or MINORS depending on study type. Overall, 6969 articles were screened, with 44 articles included. The majority (n = 34) described small prospective study designs, with a high risk of bias demonstrated. Reporting standards were suboptimal across all domains, particularly in relation to data security, prior patient engagement and cost analysis. Despite the potential of DHI to improve postoperative patient care, current progress is severely restricted by limitations in methodological reporting. There is an urgent need to improve reporting for DHI following surgery to identify patient benefit, promote reproducibility and encourage sustainability.
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Affiliation(s)
- Stephen R Knight
- Surgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
| | - Nathan Ng
- School of Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Kenneth Mclean
- Surgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Claudia Pagliari
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Ewen M Harrison
- Surgical Informatics, Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
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Quinn C, Anderson GB, Magzamen S, Henry CS, Volckens J. Dynamic classification of personal microenvironments using a suite of wearable, low-cost sensors. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:962-970. [PMID: 31937850 PMCID: PMC7358126 DOI: 10.1038/s41370-019-0198-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 09/04/2019] [Accepted: 10/29/2019] [Indexed: 05/13/2023]
Abstract
Human exposure to air pollution is associated with increased risk of morbidity and mortality. However, personal air pollution exposures can vary substantially depending on an individual's daily activity patterns and air quality within their residence and workplace. This work developed and validated an adaptive buffer size (ABS) algorithm capable of dynamically classifying an individual's time spent in predefined microenvironments using data from global positioning systems (GPS), motion sensors, temperature sensors, and light sensors. Twenty-two participants in Fort Collins, CO were recruited to carry a personal air sampler for a 48-h period. The personal sampler was retrofitted with a GPS and a pushbutton to complement the existing sensor measurements (temperature, motion, light). The pushbutton was used in conjunction with a traditional time-activity diary to note when the participant was located at "home", "work", or within an "other" microenvironment. The ABS algorithm predicted the amount of time spent in each microenvironment with a median accuracy of 99.1%, 98.9%, and 97.5% for the "home", "work", and "other" microenvironments. The ability to classify microenvironments dynamically in real time can enable the development of new sampling and measurement technologies that classify personal exposure by microenvironment.
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Affiliation(s)
- Casey Quinn
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - G Brooke Anderson
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Charles S Henry
- Department of Chemistry, Colorado State University, Fort Collins, CO, 80523, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, 80523, USA.
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Thacher JD, Hvidtfeldt UA, Poulsen AH, Raaschou-Nielsen O, Ketzel M, Brandt J, Jensen SS, Overvad K, Tjønneland A, Münzel T, Sørensen M. Long-term residential road traffic noise and mortality in a Danish cohort. ENVIRONMENTAL RESEARCH 2020; 187:109633. [PMID: 32442789 DOI: 10.1016/j.envres.2020.109633] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 05/01/2020] [Accepted: 05/01/2020] [Indexed: 05/16/2023]
Abstract
Transportation noise is a growing public health concern worldwide and epidemiological evidence has linked road traffic noise with mortality. However, incongruent effect estimates have been reported between incidence and mortality studies. Therefore, the present study aimed to investigate whether long-term exposure to residential road traffic noise at the most and least exposed façades was associated with all-cause, cardiovascular disease (CVD), ischemic heart disease (IHD), stroke, respiratory, or cancer mortality in a Danish cohort study. In a cohort of 52,758 individuals from Copenhagen and Aarhus, we estimated road traffic noise at the most and least exposed façades, as well as ambient air pollution, at all present and historical residential addresses from 1987 to 2016. Using the Danish cause of death register we identified cause-specific mortality. Analyses were conducted using Cox proportional hazards models. Ten-year time-weighted mean road traffic noise exposure at the most exposed façade was associated with an 8% higher risk for all-cause mortality per interquartile range (IQR; 10.4 dB) higher exposure level (95% CI: 1.05-1.11). Higher risks were also observed for CVD (HR = 1.13, 95% CI: 1.06-1.19) and stroke (HR = 1.11, 95% CI: 0.99-1.25) mortality. Road traffic noise at the least exposed façade (per IQR; 8.4 dB) was associated with CVD (HR = 1.09, 95% CI: 1.03-1.15), IHD (HR = 1.10, 95% CI: 1.01-1.21) and stroke (HR = 1.06, 95% CI: 0.95-1.19) mortality. Results were robust to adjustment for PM2.5 and NO2. In conclusion, this study adds to the body of evidence linking exposure to road traffic noise with higher risk of mortality.
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Affiliation(s)
- Jesse D Thacher
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark.
| | - Ulla A Hvidtfeldt
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Aslak H Poulsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Ole Raaschou-Nielsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Steen S Jensen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Kim Overvad
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark; Department of Public Health, Aarhus University, Aarhus C, Denmark
| | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Denmark
| | - Thomas Münzel
- University Medical Center Mainz of the Johannes Gutenberg University, Center for Cardiology, Cardiology I, Mainz, Germany
| | - Mette Sørensen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
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12
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Marsh A, Hirve S, Lele P, Chavan U, Bhattacharjee T, Nair H, Campbell H, Juvekar S. Validating a GPS-based approach to detect health facility visits against maternal response to prompted recall survey. J Glob Health 2020; 10:010602. [PMID: 32426124 PMCID: PMC7211413 DOI: 10.7189/jogh.10.010602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction Common approaches to measure health behaviors rely on participant responses and are subject to bias. Technology-based alternatives, particularly using GPS, address these biases while opening new channels for research. This study describes the development and implementation of a GPS-based approach to detect health facility visits in rural Pune district, India. Methods Participants were mothers of under-five year old children within the Vadu Demographic Surveillance area. Participants received GPS-enabled smartphones pre-installed with a location-aware application to continuously record and transmit participant location data to a central server. Data were analyzed to identify health facility visits according to a parameter-based approach, optimal thresholds of which were calibrated through a simulation exercise. Lists of GPS-detected health facility visits were generated at each of six follow-up home visits and reviewed with participants through prompted recall survey, confirming visits which were correctly identified. Detected visits were analyzed using logistic regression to explore factors associated with the identification of false positive GPS-detected visits. Results We enrolled 200 participants and completed 1098 follow-up visits over the six-month study period. Prompted recall surveys were completed for 694 follow-up visits with one or more GPS-detected health facility visits. While the approach performed well during calibration (positive predictive value (PPV) 78%), performance was poor when applied to participant data. Only 440 of 22 251 detected visits were confirmed (PPV 2%). False positives increased as participants spent more time in areas of high health facility density (odds ratio (OR) = 2.29, 95% confidence interval (CI) = 1.62-3.25). Visits detected at facilities other than hospitals and clinics were also more likely to be false positives (OR = 2.78, 95% CI = 1.65-4.67) as were visits detected to facilities nearby participant homes, with the likelihood decreasing as distance increased (OR = 0.89, 95% CI = 0.82-0.97). Visit duration was not associated with confirmation status. Conclusions The optimal parameter combination for health facility visits simulated by field workers substantially overestimated health visits from participant GPS data. This study provides useful insights into the challenges in detecting health facility visits where providers are numerous, highly clustered within urban centers and located near residential areas of the population which they serve.
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Affiliation(s)
- Andrew Marsh
- Institute for International Programs, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,KEM Hospital Research Centre, Sardar Moodliar Road, Rasta Peth, Pune, India
| | | | - Pallavi Lele
- KEM Hospital Research Centre, Sardar Moodliar Road, Rasta Peth, Pune, India
| | - Uddhavi Chavan
- KEM Hospital Research Centre, Sardar Moodliar Road, Rasta Peth, Pune, India
| | - Tathagata Bhattacharjee
- KEM Hospital Research Centre, Sardar Moodliar Road, Rasta Peth, Pune, India.,INDEPTH Network, 40 Mensah Wood Street, East Legon, Accra, Ghana
| | - Harish Nair
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Harry Campbell
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Sanjay Juvekar
- KEM Hospital Research Centre, Sardar Moodliar Road, Rasta Peth, Pune, India.,INDEPTH Network, 40 Mensah Wood Street, East Legon, Accra, Ghana
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13
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Milà C, Curto A, Dimitrova A, Sreekanth V, Kinra S, Marshall JD, Tonne C. Identifying predictors of personal exposure to air temperature in peri-urban India. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 707:136114. [PMID: 31863998 DOI: 10.1016/j.scitotenv.2019.136114] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 12/12/2019] [Accepted: 12/12/2019] [Indexed: 06/10/2023]
Abstract
Characterizing personal exposure to air temperature is critical to understanding exposure measurement error in epidemiologic studies using fixed-site exposure data and to identify strategies to protect public health. To date, no study evaluating personal air temperature in the general population has been conducted in a low-and-middle income country. We used data from the CHAI study consisting of 50 adults monitored in up to six non-consecutive 24 h sessions in peri-urban south India. We quantified the agreement and association between fixed-site ambient and personal air temperature, and identified predictors of personal air temperature based on housing assessment, self-reported, GPS, remote sensing, and wearable camera data. Mean (SD) daytime (6 am-10 pm) average personal air temperature was 31.2 (2.6) °C and mean nighttime (10 pm-6 am) average temperature was 28.8 (2.8) °C. Agreement between average personal air and fixed-site ambient temperatures was limited, especially at night when personal air temperatures were underestimated by fixed-site temperatures (MBE = -5.6 °C). The proportion of average personal nighttime temperature variability explained by ambient fixed-site temperatures was moderate (R2mar = 0.39); daytime associations were stronger for women (R2mar = 0.51) than for men (R2mar = 0.3). Other predictors of average nighttime personal air temperature included residential altitude, ceiling height, and household income. Predictors of average daytime personal air temperature included roof materials, GPS-tracked altitude, time working in agriculture (for women), and time travelling (for men). No biomass cooking, urban heat island, or greenspace effects were identified. R2mar between ambient fixed-site and personal air temperature indicate that ambient fixed-site temperature is only a moderately useful proxy of personal air temperature in the context of peri-urban India. Our findings suggest that people living in houses at lower altitude, with lower ceiling height and asbestos roofing sheets might be more vulnerable to heat. We also identified households with higher income, women working in agriculture and men with long commutes as disproportionately exposed to high temperatures.
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Affiliation(s)
- Carles Milà
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Ariadna Curto
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Asya Dimitrova
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - V Sreekanth
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA; Center for Study of Science, Technology & Policy, Bengaluru 560 094, India
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
| | - Cathryn Tonne
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain.
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14
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Abstract
PURPOSE OF REVIEW To review the literature on built environment interventions to increase active travel, focusing on work since 2000 and on methodological choices and challenges affecting studies. RECENT FINDINGS Increasingly, there is evidence that built environment interventions can lead to more walking or cycling. Evidence is stronger for cycling than for walking interventions, and there is a relative lack of evidence around differential impacts of interventions. Some of the evidence remains methodologically weak, with much work in the 'grey' literature. While evidence in the area continues to grow, data gaps remain. Greater use of quasi-experimental techniques, improvements in routine monitoring of smaller schemes, and the use of new big data sources are promising. More qualitative research could help develop a more sophisticated understanding of behaviour change.
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15
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Fillekes MP, Kim EK, Trumpf R, Zijlstra W, Giannouli E, Weibel R. Assessing Older Adults' Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators. SENSORS 2019; 19:s19204551. [PMID: 31635100 PMCID: PMC6833043 DOI: 10.3390/s19204551] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 10/12/2019] [Accepted: 10/15/2019] [Indexed: 12/24/2022]
Abstract
Interest in global positioning system (GPS)-based mobility assessment for health and aging research is growing, and with it the demand for validated GPS-based mobility indicators. Time out of home (TOH) and number of activity locations (#ALs) are two indicators that are often derived from GPS data, despite lacking consensus regarding thresholds to be used to extract those as well as limited knowledge about their validity. Using 7 days of GPS and diary data of 35 older adults, we make the following three main contributions. First, we perform a sensitivity analysis to investigate how using spatial and temporal thresholds to compute TOH and #ALs affects the agreement between self-reported and GPS-based indicators. Second, we show how daily self-reported and GPS-derived mobility indicators are compared. Third, we explore whether the type and duration of self-reported activity events are related to the degree of correspondence between reported and GPS event. Highest indicator agreement was found for temporal interpolation (Tmax) of up to 5 h for both indicators, a radius (Dmax) to delineate home between 100 and 200 m for TOH, and for #ALs a spatial extent (Dmax) between 125 and 200 m, and temporal extent (Tmin) between 5 and 6 min to define an activity location. High agreement between self-reported and GPS-based indicators is obtained for TOH and moderate agreement for #ALs. While reported event type and duration impact on whether a reported event has a matching GPS event, indoor and outdoor events are detected at equal proportions. This work will help future studies to choose optimal threshold settings and will provide knowledge about the validity of mobility indicators.
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Affiliation(s)
- Michelle Pasquale Fillekes
- Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland.
| | - Eun-Kyeong Kim
- Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland.
| | - Rieke Trumpf
- Institute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany.
- Department of Geriatric Psychiatry and Psychotherapy, LVR Hospital Cologne, Wilhelm-Griesinger-Straße 23, 51109 Cologne, Germany.
| | - Wiebren Zijlstra
- Institute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany.
| | - Eleftheria Giannouli
- Institute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933 Cologne, Germany.
| | - Robert Weibel
- Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
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16
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Rohlman D, Dixon HM, Kincl L, Larkin A, Evoy R, Barton M, Phillips A, Peterson E, Scaffidi C, Herbstman JB, Waters KM, Anderson KA. Development of an environmental health tool linking chemical exposures, physical location and lung function. BMC Public Health 2019; 19:854. [PMID: 31262274 PMCID: PMC6604385 DOI: 10.1186/s12889-019-7217-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 06/20/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND A challenge in environmental health research is collecting robust data sets to facilitate comparisons between personal chemical exposures, the environment and health outcomes. To address this challenge, the Exposure, Location and lung Function (ELF) tool was designed in collaboration with communities that share environmental health concerns. These concerns centered on respiratory health and ambient air quality. The ELF collects exposure to polycyclic aromatic hydrocarbons (PAHs), given their association with diminished lung function. Here, we describe the ELF as a novel environmental health assessment tool. METHODS The ELF tool collects chemical exposure for 62 PAHs using passive sampling silicone wristbands, geospatial location data and respiratory lung function measures using a paired hand-held spirometer. The ELF was tested by 10 individuals with mild to moderate asthma for 7 days. Participants wore a wristband each day to collect PAH exposure, carried a cell phone, and performed spirometry daily to collect respiratory health measures. Location data was gathered using the geospatial positioning system technology in an Android cell-phone. RESULTS We detected and quantified 31 PAHs across the study population. PAH exposure data showed spatial and temporal sensitivity within and between participants. Location data was used with existing datasets such as the Toxics Release Inventory and the National Oceanic and Atmospheric Administration (NOAA) Hazard Mapping System. Respiratory health outcomes were validated using criteria from the American Thoracic Society with 94% of participant data meeting standards. Finally, the ELF was used with a high degree of compliance (> 90%) by community members. CONCLUSIONS The ELF is a novel environmental health assessment tool that allows for personal data collection spanning chemical exposures, location and lung function measures as well as self-reported information.
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Affiliation(s)
- Diana Rohlman
- College of Public Health and Human Sciences; Superfund Research Program, Oregon State University, 101 Milam Hall, Corvallis, Oregon USA
| | - Holly M. Dixon
- Environmental and Molecular Toxicology, Food Safety and Environmental Stewardship Program, Oregon State University, Corvallis, Oregon USA
| | - Laurel Kincl
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon USA
| | - Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon USA
| | - Richard Evoy
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon USA
| | - Michael Barton
- Superfund Research Program, Food Safety and Environmental Stewardship Program, Oregon State University, Corvallis, Oregon USA
| | - Aaron Phillips
- Computing & Analytics Division, Pacific Northwest National Laboratory, Richland, Washington USA
| | - Elena Peterson
- Computing & Analytics Division, Pacific Northwest National Laboratory, Richland, Washington USA
| | | | - Julie B. Herbstman
- Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, USA
| | - Katrina M. Waters
- Biological Sciences Division, Pacific Northwest National Laboratory, Pacific Northwest National Laboratory, Richland, WA USA
| | - Kim A. Anderson
- Environmental and Molecular Toxicology, Food Safety and Environmental Stewardship Program, Oregon State University, Corvallis, Oregon USA
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17
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Donaire-Gonzalez D, Curto A, Valentín A, Andrusaityte S, Basagaña X, Casas M, Chatzi L, de Bont J, de Castro M, Dedele A, Granum B, Grazuleviciene R, Kampouri M, Lyon-Caen S, Manzano-Salgado CB, Aasvang GM, McEachan R, Meinhard-Kjellstad CH, Michalaki E, Pañella P, Petraviciene I, Schwarze PE, Slama R, Robinson O, Tamayo-Uria I, Vafeiadi M, Waiblinger D, Wright J, Vrijheid M, Nieuwenhuijsen MJ. Personal assessment of the external exposome during pregnancy and childhood in Europe. ENVIRONMENTAL RESEARCH 2019; 174:95-104. [PMID: 31055170 DOI: 10.1016/j.envres.2019.04.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 04/14/2019] [Accepted: 04/15/2019] [Indexed: 05/18/2023]
Abstract
The human exposome affects child development and health later in life, but its personal external levels, variability, and correlations are largely unknown. We characterized the personal external exposome of pregnant women and children in eight European cities. Panel studies included 167 pregnant women and 183 children (aged 6-11 years). A personal exposure monitoring kit composed of smartphone, accelerometer, ultraviolet (UV) dosimeter, and two air pollution monitors were used to monitor physical activity (PA), fine particulate matter (PM2.5), black carbon, traffic-related noise, UV-B radiation, and natural outdoor environments (NOE). 77% of women performed the adult recommendation of ≥150 min/week of moderate to vigorous PA (MVPA), while only 3% of children achieved the childhood recommendation of ≥60 min/day MVPA. 11% of women and 17% of children were exposed to daily PM2.5 levels higher than recommended (≥25μg/m3). Mean exposure to noise ranged from Lden 51.1 dB in Kaunas to Lden 65.2 dB in Barcelona. 4% of women and 23% of children exceeded the recommended maximum of 2 Standard-Erythemal-Dose of UV-B at least once a week. 33% of women and 43% of children never reached the minimum NOE contact recommendation of ≥30 min/week. The variations in air and noise pollution exposure were dominated by between-city variability, while most of the variation observed for NOE contact and PA was between-participants. The correlations between all personal exposures ranged from very low to low (Rho < 0.30). The levels of personal external exposures in both pregnant women and children are above the health recommendations, and there is little correlation between the different exposures. The assessment of the personal external exposome is feasible but sampling requires from one day to more than one year depending on exposure due to high variability between and within cities and participants.
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Affiliation(s)
- David Donaire-Gonzalez
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Ariadna Curto
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Antònia Valentín
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Xavier Basagaña
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Maribel Casas
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, University of Southern California, Los Angeles, USA; Department of Genetics & Cell Biology, Maastricht University, the Netherlands
| | - Jeroen de Bont
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Montserrat de Castro
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Berit Granum
- Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | | | | | - Sarah Lyon-Caen
- Institut National de la Santé et de la Recherche Médicale (Inserm), CNRS, Univ. Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, La Tronche, France
| | | | | | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford, United Kingdom
| | | | | | - Pau Pañella
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Per E Schwarze
- Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Rémy Slama
- Institut National de la Santé et de la Recherche Médicale (Inserm), CNRS, Univ. Grenoble Alpes, Institute for Advanced Biosciences (IAB), U1209, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble, La Tronche, France
| | - Oliver Robinson
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, United Kingdom
| | - Ibon Tamayo-Uria
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; Division of Immunology and Immunotherapy, Cima Universidad de Navarra and "Instituto de Investigación Sanitaria de Navarra (IdISNA)", Pamplona, Spain
| | | | - Dagmar Waiblinger
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford, United Kingdom
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford, United Kingdom
| | - Martine Vrijheid
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Mark J Nieuwenhuijsen
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
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18
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Donaire-Gonzalez D, Valentín A, van Nunen E, Curto A, Rodriguez A, Fernandez-Nieto M, Naccarati A, Tarallo S, Tsai MY, Probst-Hensch N, Vermeulen R, Hoek G, Vineis P, Gulliver J, Nieuwenhuijsen MJ. ExpoApp: An integrated system to assess multiple personal environmental exposures. ENVIRONMENT INTERNATIONAL 2019; 126:494-503. [PMID: 30849577 DOI: 10.1016/j.envint.2019.02.054] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 01/20/2019] [Accepted: 02/21/2019] [Indexed: 05/20/2023]
Abstract
To assess environmental exposures at the individual level, new assessment methods and tools are required. We developed an exposure assessment system (ExpoApp) for smartphones. ExpoApp integrates: (i) geo-location and accelerometry measurements from a waist attached smartphone, (ii) data from portable monitors, (iii) geographic information systems, and (iv) individual's information. ExpoApp calculates time spent in microenvironments, physical activity level, inhalation rate, and environmental exposures and doses (e.g., green spaces, inhaled ultrafine particles- UFP). We deployed ExpoApp in a panel study of 158 adults from five cities (Amsterdam and Utrecht- the Netherlands, Basel- Switzerland, Norwich- UK, and Torino- Italy) with an UFP monitor. To evaluate ExpoApp, participants also carried a reference accelerometer (ActiGraph) and completed a travel-activity diary (TAD). System reliability and validity of measurements were evaluated by comparing the monitoring failure rate and the agreement on time spent in microenvironments and physical activity with the reference tools. There were only significant failure rate differences between ExpoApp and ActiGraph in Norwich. Agreement on time in microenvironments and physical activity level between ExpoApp and reference tools was 86.6% (86.5-86.7) and 75.7% (71.5-79.4), respectively. ExpoApp estimated that participants inhaled 16.5 × 1010 particles/day of UFP and had almost no contact with green spaces (24% of participants spent ≥30 min/day in green spaces). Participants with more contact with green spaces had higher inhaled dose of UFP, except for the Netherlands, where the relationship was the inverse. ExpoApp is a reliable system and provides accurate individual's measurements, which may help to understand the role of environmental exposures on the origin and course of diseases.
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Affiliation(s)
- David Donaire-Gonzalez
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands
| | - Antònia Valentín
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Erik van Nunen
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands
| | - Ariadna Curto
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | | | | | | | - Sonia Tarallo
- Italian Institute for Genomic Medicine (IIGM), Torino, Italy
| | - Ming-Yi Tsai
- Swiss Tropical and Public Health Institute (TPH), Basel, Switzerland; Univerisity of Basel, Basel, Switzerland; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute (TPH), Basel, Switzerland; Univerisity of Basel, Basel, Switzerland
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, the Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College, London, UK; Centre for Environmental Health and Sustainability, University of Leicester, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain.
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19
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Szot T, Specht C, Specht M, Dabrowski PS. Comparative analysis of positioning accuracy of Samsung Galaxy smartphones in stationary measurements. PLoS One 2019; 14:e0215562. [PMID: 30998734 PMCID: PMC6472772 DOI: 10.1371/journal.pone.0215562] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 03/12/2019] [Indexed: 11/18/2022] Open
Abstract
Achieving single meter positioning accuracy by portable mobile devices still poses a major challenge to the satellite signal receivers constructors, despite gradual constellation completing process and the progress achieved in last decades. Nowadays popular smartphones are multifunctional devices that serve also as a personal navigation tool in navigation and sport activities using the global navigation satellite systems (GNSS) receivers installed. It would seem that introducing newer models to the global market would cause constant progress in the accuracies obtained, however, the study results do not confirm that. This study focused on Galaxy series smartphones of Samsung, one of the leading manufacturers worldwide, to examine its technological progress. The aim was to verify the thesis using statistical models and analyses to compare succeeding generations of smartphones on six devices from the series. The authors conducted two synchronous stationary measurement campaigns of 24 and 12 hours with one-second interval in obstacle-free environment which provided 70000+ and 30000+ statistical samples of position measurements. The reference values of true smartphones coordinates were determined by means of state-of-the-art precise surveying instruments and geodetic calculations. The results indicate that two newest generations of the Galaxy series included in the research, namely S6 and S7, obtained lower accuracies than their predecessors. Against the backdrop of lack of public availability of smartphones technical parameters, the conducted research results are relevant especially to smartphones positioning service users community.
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Affiliation(s)
- Tomasz Szot
- Department of Natural Sciences, Gdansk University of Physical Education and Sport, Gdansk, Poland
| | - Cezary Specht
- Department of Geodesy and Oceanography, Gdynia Maritime University, Gdynia, Poland
| | - Mariusz Specht
- Department of Transport and Logistics, Gdynia Maritime University, Gdynia, Poland
| | - Pawel S. Dabrowski
- Department of Geodesy and Oceanography, Gdynia Maritime University, Gdynia, Poland
- * E-mail:
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Ueberham M, Schlink U. Wearable sensors for multifactorial personal exposure measurements - A ranking study. ENVIRONMENT INTERNATIONAL 2018; 121:130-138. [PMID: 30199668 DOI: 10.1016/j.envint.2018.08.057] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 08/22/2018] [Accepted: 08/24/2018] [Indexed: 06/08/2023]
Abstract
Individuals are simultaneously exposed to multiple environmental stressors during their daily life. Studies of adverse health effects and their etiology as well as recommendations for a healthier life style demand for an assessment of multifactorial personal exposure, according to the exposome concept. A challenge is to record exposure while people are moving in heterogeneous urban environments. Therefore wearable sensor technologies are becoming a promising way to measure personal exposure continuously: indoors, outdoors and even on the move. So far, studies which test the accuracy and usability of wearable sensors for multiple stressors are lacking. Performance evaluations are important and should take place beforehand, especially to ensure the success of citizens-oriented studies. For the first time we rigorously examined the accuracy and application suitability of wearable sensors for acoustic noise, heat (temp), particle number counts (PNC) and geo-location (GPS) in different environments. We present an extensive device inter-comparison and a ranking of the sensors based on performance measures, Taylor diagrams, Bland-Altman plots, and ease-of-use aspects. The sensors showed moderate to high correlations with precision reference devices (r = 0.4-0.99). Differences between errors outdoors and indoors suggest that environmental conditions have impact upon the accuracy of the sensors. Reaction time, recording interval, and sensor ventilation are features that play a crucial role for both ease-of-use and accuracy. We conclude with a final performance () ranking: (GPS) > (noise) > (temp) > (PNC). The results are relevant for future epidemiological studies of multifactorial exposure of individuals and their health and should guide the selection of wearables when persons are involved that are technically untaught. Inferences from multifactorial data are based on the performance of all sensors and the weakest chain links are PNC and temp sensors for which our article recommends urgent improvements.
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Affiliation(s)
- Maximilian Ueberham
- Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
| | - Uwe Schlink
- Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
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21
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Milà C, Salmon M, Sanchez M, Ambrós A, Bhogadi S, Sreekanth V, Nieuwenhuijsen M, Kinra S, Marshall JD, Tonne C. When, Where, and What? Characterizing Personal PM 2.5 Exposure in Periurban India by Integrating GPS, Wearable Camera, and Ambient and Personal Monitoring Data. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:13481-13490. [PMID: 30378432 DOI: 10.1021/acs.est.8b03075] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Evidence identifying factors that influence personal exposure to air pollutants in low- and middle-income countries is scarce. Our objective was to identify the relative contribution of the time of the day ( when?), location ( where?), and individuals' activities ( what?) to PM2.5 personal exposure in periurban South India. We conducted a panel study in which 50 participants were monitored in up to six 24-h sessions ( n = 227). We integrated data from multiple sources: continuous personal and ambient PM2.5 concentrations; questionnaire, GPS, and wearable camera data; and modeled long-term exposure at residence. Mean 24-h personal exposure was 43.8 μg/m3 (SD 24.6) for men and 39.7 μg/m3 (SD 12.0) for women. Temporal patterns in exposure varied between women (peak exposure in the morning) and men (more exposed throughout the rest of the day). Most exposure occurred at home, 67% for men and 89% for women, which was proportional to the time spent in this location. Ambient daily PM2.5 was an important predictor of 24-h personal exposure for both genders. Among men, activities predictive of higher hourly average exposure included presence near food preparation, in the kitchen, in the vicinity of smoking, or in industry. For women, predictors of exposure were largely related to cooking.
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Affiliation(s)
- Carles Milà
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
| | - Maëlle Salmon
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
| | - Margaux Sanchez
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
| | - Albert Ambrós
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
| | - Santhi Bhogadi
- Public Health Foundation of India , Gurgaon 122002 , Haryana India
| | - V Sreekanth
- Department of Civil and Environmental Engineering , University of Washington , Seattle , Washington 98195-2700 , United States
| | - Mark Nieuwenhuijsen
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology , London School of Hygiene and Tropical Medicine , London WC1E 7HT , U.K
| | - Julian D Marshall
- Department of Civil and Environmental Engineering , University of Washington , Seattle , Washington 98195-2700 , United States
| | - Cathryn Tonne
- ISGlobal , Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona 08003 , Spain
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22
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Ueberham M, Schmidt F, Schlink U. Advanced Smartphone-Based Sensing with Open-Source Task Automation. SENSORS 2018; 18:s18082456. [PMID: 30060612 PMCID: PMC6111588 DOI: 10.3390/s18082456] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/18/2018] [Accepted: 07/26/2018] [Indexed: 12/03/2022]
Abstract
Smartphone-based sensing is becoming a convenient way to collect data in science, especially in environmental research. Recent studies that use smartphone sensing methods focus predominantly on single sensors that provide quantitative measurements. However, interdisciplinary projects call for study designs that connect both, quantitative and qualitative data gathered by smartphone sensors. Therefore, we present a novel open-source task automation solution and its evaluation in a personal exposure study with cyclists. We designed an automation script that advances the sensing process with regard to data collection, management and storage of acoustic noise, geolocation, light level, timestamp, and qualitative user perception. The benefits of this approach are highlighted based on data visualization and user handling evaluation. Even though the automation script is limited by the technical features of the smartphone and the quality of the sensor data, we conclude that task automation is a reliable and smart solution to integrate passive and active smartphone sensing methods that involve data processing and transfer. Such an application is a smart tool gathering data in population studies.
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Affiliation(s)
- Maximilian Ueberham
- Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.
| | | | - Uwe Schlink
- Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.
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23
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Markevych I, Schoierer J, Hartig T, Chudnovsky A, Hystad P, Dzhambov AM, de Vries S, Triguero-Mas M, Brauer M, Nieuwenhuijsen MJ, Lupp G, Richardson EA, Astell-Burt T, Dimitrova D, Feng X, Sadeh M, Standl M, Heinrich J, Fuertes E. Exploring pathways linking greenspace to health: Theoretical and methodological guidance. ENVIRONMENTAL RESEARCH 2017; 158:301-317. [PMID: 28672128 DOI: 10.1016/j.envres.2017.06.028] [Citation(s) in RCA: 978] [Impact Index Per Article: 139.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 06/22/2017] [Accepted: 06/23/2017] [Indexed: 05/18/2023]
Abstract
BACKGROUND In a rapidly urbanizing world, many people have little contact with natural environments, which may affect health and well-being. Existing reviews generally conclude that residential greenspace is beneficial to health. However, the processes generating these benefits and how they can be best promoted remain unclear. OBJECTIVES During an Expert Workshop held in September 2016, the evidence linking greenspace and health was reviewed from a transdisciplinary standpoint, with a particular focus on potential underlying biopsychosocial pathways and how these can be explored and organized to support policy-relevant population health research. DISCUSSIONS Potential pathways linking greenspace to health are here presented in three domains, which emphasize three general functions of greenspace: reducing harm (e.g. reducing exposure to air pollution, noise and heat), restoring capacities (e.g. attention restoration and physiological stress recovery) and building capacities (e.g. encouraging physical activity and facilitating social cohesion). Interrelations between among the three domains are also noted. Among several recommendations, future studies should: use greenspace and behavioural measures that are relevant to hypothesized pathways; include assessment of presence, access and use of greenspace; use longitudinal, interventional and (quasi)experimental study designs to assess causation; and include low and middle income countries given their absence in the existing literature. Cultural, climatic, geographic and other contextual factors also need further consideration. CONCLUSIONS While the existing evidence affirms beneficial impacts of greenspace on health, much remains to be learned about the specific pathways and functional form of such relationships, and how these may vary by context, population groups and health outcomes. This Report provides guidance for further epidemiological research with the goal of creating new evidence upon which to develop policy recommendations.
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Affiliation(s)
- Iana Markevych
- Institute for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany; Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
| | - Julia Schoierer
- Institute for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Terry Hartig
- Institute for Housing and Urban Research, Uppsala University, Uppsala, Sweden
| | - Alexandra Chudnovsky
- AIRO Lab, Department of Geography and Human Environment, School of Geosciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Angel M Dzhambov
- Department of Hygiene and Ecomedicine, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sjerp de Vries
- Wageningen University & Research, Environmental Research, Wageningen, The Netherlands
| | - Margarita Triguero-Mas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mark J Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Gerd Lupp
- Strategic Landscape Planning and Management, Technical University of Munich, Munich, Germany
| | - Elizabeth A Richardson
- Centre for Research on Environment, Society and Health (CRESH), University of Edinburgh, Edinburgh, Scotland, UK
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), Faculty of Social Sciences, University of Wollongong, Wollongong, Australia; Early Start, University of Wollongong, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
| | - Donka Dimitrova
- Department of Health Management and Healthcare Economics, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (PowerLab), Faculty of Social Sciences, University of Wollongong, Wollongong, Australia; Early Start, University of Wollongong, Faculty of Social Sciences, University of Wollongong, Wollongong, Australia
| | - Maya Sadeh
- School of Public Health, Tel-Aviv University, Tel-Aviv, Israel
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Joachim Heinrich
- Institute for Occupational, Social, and Environmental Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany; Institute of Epidemiology I, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Elaine Fuertes
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
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24
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Living Close to Natural Outdoor Environments in Four European Cities: Adults' Contact with the Environments and Physical Activity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14101162. [PMID: 28974010 PMCID: PMC5664663 DOI: 10.3390/ijerph14101162] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Revised: 09/18/2017] [Accepted: 09/21/2017] [Indexed: 01/08/2023]
Abstract
This study investigated whether residential availability of natural outdoor environments (NOE) was associated with contact with NOE, overall physical activity and physical activity in NOE, in four different European cities using objective measures. A nested cross-sectional study was conducted in Barcelona (Spain); Stoke-on-Trent (United Kingdom); Doetinchem (The Netherlands); and Kaunas (Lithuania). Smartphones were used to collect information on the location and physical activity (overall and NOE) of around 100 residents of each city over seven days. We used Geographic Information Systems (GIS) to determine residential NOE availability (presence/absence of NOE within 300 m buffer from residence), contact with NOE (time spent in NOE), overall PA (total physical activity), NOE PA (total physical activity in NOE). Potential effect modifiers were investigated. Participants spent around 40 min in NOE and 80 min doing overall PA daily, of which 11% was in NOE. Having residential NOE availability was consistently linked with higher NOE contact during weekdays, but not to overall PA. Having residential NOE availability was related to NOE PA, especially for our Barcelona participants, people that lived in a city with low NOE availability.
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25
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Pañella P, Casas M, Donaire-Gonzalez D, Garcia-Esteban R, Robinson O, Valentín A, Gulliver J, Momas I, Nieuwenhuijsen M, Vrijheid M, Sunyer J. Ultrafine particles and black carbon personal exposures in asthmatic and non-asthmatic children at school age. INDOOR AIR 2017; 27:891-899. [PMID: 28321937 DOI: 10.1111/ina.12382] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Accepted: 03/13/2017] [Indexed: 06/06/2023]
Abstract
Traffic-related air pollution (TRAP) exposure during childhood is associated with asthma; however, the contribution of the different TRAP pollutants in each microenvironment (home, school, transportation, others) in asthmatic and non-asthmatic children is unknown. Daily (24-h) personal black carbon (BC), ultrafine particle (UFP), and alveolar lung-deposited surface area (LDSA) individual exposure measurements were obtained from 100 children (29 past and 21 current asthmatics, 50 non-asthmatics) aged 9±0.7 years from the INMA-Sabadell cohort (Catalonia, Spain). Time spent in each microenvironment was derived by the geolocation provided by the smartphone and a new spatiotemporal map-matching algorithm. Asthmatics and non-asthmatics spent the same amount of time at home (60% and 61%, respectively), at school (20% and 23%), on transportation (8% and 7%), and in other microenvironments (7% and 5%). The highest concentrations of all TRAPs were attributed to transportation. No differences in TRAP concentrations were found overall or by type of microenvironment between asthmatics and non-asthmatics, nor when considering past and current asthmatics, separately. In conclusion, asthmatic and non-asthmatic children had a similar time-activity pattern and similar average exposures to BC, UFP, and LDSA concentrations. This suggests that interventions should be tailored to general population, rather than to subgroups defined by disease.
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Affiliation(s)
- P Pañella
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - M Casas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - D Donaire-Gonzalez
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Physical Activity and Sports Sciences Department, Fundació Blanquerna, Barcelona, Spain
| | - R Garcia-Esteban
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - O Robinson
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Kensington, London, UK
| | - A Valentín
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - J Gulliver
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Kensington, London, UK
| | - I Momas
- Faculté de Pharmacie de Paris, Laboratoire Santé Publique et Environnement, Université Paris Descartes, Paris, France
- Direction de l'Action Sociale de l'Enfance et de la Santé, Cellule Cohorte, Mairie de Paris, Paris, France
| | - M Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - M Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - J Sunyer
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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26
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Sanchez M, Ambros A, Salmon M, Bhogadi S, Wilson RT, Kinra S, Marshall JD, Tonne C. Predictors of Daily Mobility of Adults in Peri-Urban South India. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14070783. [PMID: 28708095 PMCID: PMC5551221 DOI: 10.3390/ijerph14070783] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 06/23/2017] [Accepted: 06/30/2017] [Indexed: 12/29/2022]
Abstract
Daily mobility, an important aspect of environmental exposures and health behavior, has mainly been investigated in high-income countries. We aimed to identify the main dimensions of mobility and investigate their individual, contextual, and external predictors among men and women living in a peri-urban area of South India. We used 192 global positioning system (GPS)-recorded mobility tracks from 47 participants (24 women, 23 men) from the Cardiovascular Health effects of Air pollution in Telangana, India (CHAI) project (mean: 4.1 days/person). The mean age was 44 (standard deviation: 14) years. Half of the population was illiterate and 55% was in unskilled manual employment, mostly agriculture-related. Sex was the largest determinant of mobility. During daytime, time spent at home averaged 13.4 (3.7) h for women and 9.4 (4.2) h for men. Women's activity spaces were smaller and more circular than men's. A principal component analysis identified three main mobility dimensions related to the size of the activity space, the mobility in/around the residence, and mobility inside the village, explaining 86% (women) and 61% (men) of the total variability in mobility. Age, socioeconomic status, and urbanicity were associated with all three dimensions. Our results have multiple potential applications for improved assessment of environmental exposures and their effects on health.
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Affiliation(s)
- Margaux Sanchez
- Centre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain.
- Universitat Pompeu Fabra, 08002 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
| | - Albert Ambros
- Centre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain.
- Universitat Pompeu Fabra, 08002 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
| | - Maëlle Salmon
- Centre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain.
- Universitat Pompeu Fabra, 08002 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
| | - Santhi Bhogadi
- Public Health Foundation of India, New Delhi 110070 e, India.
| | - Robin T Wilson
- Geography & Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.
| | - Cathryn Tonne
- Centre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain.
- Universitat Pompeu Fabra, 08002 Barcelona, Spain.
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
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27
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How Sensors Might Help Define the External Exposome. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14040434. [PMID: 28420222 PMCID: PMC5409635 DOI: 10.3390/ijerph14040434] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 03/14/2017] [Accepted: 03/23/2017] [Indexed: 01/23/2023]
Abstract
The advent of the exposome concept, the advancement of mobile technology, sensors, and the “internet of things” bring exciting opportunities to exposure science. Smartphone apps, wireless devices, the downsizing of monitoring technologies, along with lower costs for such equipment makes it possible for various aspects of exposure to be measured more easily and frequently. We discuss possibilities and lay out several criteria for using smart technologies for external exposome studies. Smart technologies are evolving quickly, and while they provide great promise for advancing exposure science, many are still in developmental stages and their use in epidemiology and risk studies must be carefully considered. The most useable technologies for exposure studies at this time relate to gathering exposure-factor data, such as location and activities. Development of some environmental sensors (e.g., for some air pollutants, noise, UV) is moving towards making the use of these more reliable and accessible to research studies. The possibility of accessing such an unprecedented amount of personal data also comes with various limitations and challenges, which are discussed. The advantage of improving the collection of long term exposure factor data is that this can be combined with more “traditional” measurement data to model exposures to numerous environmental factors.
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