Safety & Health & Wellbeing Archives - Page 7 of 29

Selection of Wearable Sensor Measurements for Monitoring and Managing Entry-level Construction Worker Fatigue: A Logistic Regression Approach

Lee, Wonil; Lin, Ken-yu; Johnson, Peter W.; Seto, Edmund Y.w. (2022). Selection of Wearable Sensor Measurements for Monitoring and Managing Entry-level Construction Worker Fatigue: A Logistic Regression Approach. Engineering Construction & Architectural Management (09699988), 29(8), 2905-2923.

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Abstract

Purpose: The identification of fatigue status and early intervention to mitigate fatigue can reduce the risk of workplace injuries. Off-the-shelf wearable sensors capable of assessing multiple parameters are available. However, using numerous variables in the fatigue prediction model can elicit data issues. This study aimed at identifying the most relevant variables for measuring occupational fatigue among entry-level construction workers by using common wearable sensor technologies, such as electrocardiogram and actigraphy sensors. Design/methodology/approach: Twenty-two individuals were assigned different task workloads in repeated sessions. Stepwise logistic regression was used to identify the most parsimonious fatigue prediction model. Heart rate variability measurements, standard deviation of NN intervals and power in the low-frequency range (LF) were considered for fatigue prediction. Fast Fourier transform and autoregressive (AR) analysis were employed as frequency domain analysis methods. Findings: The log-transformed LF obtained using AR analysis is preferred for daily fatigue management, whereas the standard deviation of normal-to-normal NN is useful in weekly fatigue management. Research limitations/implications: This study was conducted with entry-level construction workers who are involved in manual material handling activities. The findings of this study are applicable to this group. Originality/value: This is the first study to investigate all major measures obtainable through electrocardiogram and actigraphy among current mainstream wearables for monitoring occupational fatigue in the construction industry. It contributes knowledge on the use of wearable technology for managing occupational fatigue among entry-level construction workers engaged in material handling activities. [ABSTRACT FROM AUTHOR]; Copyright of Engineering Construction & Architectural Management (09699988) is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Keywords

Construction Workers; Wearable Technology; Logistic Regression Analysis; Fatigue (physiology); Frequency-domain Analysis; Heart Beat; Lifting & Carrying (human Mechanics); Construction Safety; Information And Communication Technology (ict) Applications; Management; Technology

Spatiotemporal Crime Patterns across Six US Cities: Analyzing Stability and Change in Clusters and Outliers

Walter, Rebecca J.; Tillyer, Marie Skubak; Acolin, Arthur. (2022). Spatiotemporal Crime Patterns across Six US Cities: Analyzing Stability and Change in Clusters and Outliers. Journal Of Quantitative Criminology.

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Abstract

ObjectivesExamine the degree of crime concentration at micro-places across six large cities, the spatial clustering of high and low crime micro-places within cities, the presence of outliers within those clusters, and extent to which there is stability and change in micro-place classification over time. MethodsUsing crime incident data gathered from six U.S. municipal police departments (Chicago, Los Angeles, New York City, Philadelphia, San Antonio, and Seattle) and aggregated to the street segment, Local Moran‚Äö√Ñ√¥s I is calculated to identify statistically significant high and low crime clusters across each city and outliers within those clusters that differ significantly from their local spatial neighbors.ResultsWithin cities, the proportion of segments that are like their neighbors and fall within a statistically significant high or low crime cluster are relatively stable over time. For all cities, the largest proportion of street segments fell into the same classification over time (47.5% to 69.3%); changing segments were less common (4.7% to 20.5%). Changing clusters (i.e., segments that fell into both low and high clusters during the study) were rare. Outliers in each city reveal statistically significant street-to-street variability. ConclusionsThe findings revealed similarities across cities, including considerable stability over time in segment classification. There were also cross-city differences that warrant further investigation, such as varying levels of spatial clustering. Understanding stable and changing clusters and outliers offers an opportunity for future research to explore the mechanisms that shape a city's spatiotemporal crime patterns to inform strategic resource allocation at smaller spatial scales. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Keywords

Micro-places; Spatiotemporal Crime Patterns; Spatial Clusters; Spatial Outliers; No Terms Assigned

Using Open Data and Open-source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities

Boeing, Geoff; Higgs, Carl; Liu, Shiqin; Giles-corti, Billie; Sallis, James F.; Cerin, Ester; Lowe, Melanie; Adlakha, Deepti; Hinckson, Erica; Moudon, Anne Vernez; Salvo, Deborah; Adams, Marc A.; Barrozo, Ligia, V; Bozovic, Tamara; Delclos-alio, Xavier; Dygryn, Jan; Ferguson, Sara; Gebel, Klaus; Thanh Phuong Ho; Lai, Poh-chin; Martori, Joan C.; Nitvimol, Kornsupha; Queralt, Ana; Roberts, Jennifer D.; Sambo, Garba H.; Schipperijn, Jasper; Vale, David; Van De Weghe, Nico; Vich, Guillem; Arundel, Jonathan. (2022). Using Open Data and Open-source Software to Develop Spatial Indicators of Urban Design and Transport Features for Achieving Healthy and Sustainable Cities. Lancet Global Health, 10(6), E907-E918.

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Abstract

Benchmarking and monitoring of urban design and transport features is crucial to achieving local and international health and sustainability goals. However, most urban indicator frameworks use coarse spatial scales that either only allow between-city comparisons, or require expensive, technical, local spatial analyses for within-city comparisons. This study developed a reusable, open-source urban indicator computational framework using open data to enable consistent local and global comparative analyses. We show this framework by calculating spatial indicators-for 25 diverse cities in 19 countries-of urban design and transport features that support health and sustainability. We link these indicators to cities' policy contexts, and identify populations living above and below critical thresholds for physical activity through walking. Efforts to broaden participation in crowdsourcing data and to calculate globally consistent indicators are essential for planning evidence-informed urban interventions, monitoring policy effects, and learning lessons from peer cities to achieve health, equity, and sustainability goals.

Keywords

Systems; Access; Care

Lingzi Wu

Lingzi Wu is an Assistant Professor with the Department of Construction Management (CM) at the University of Washington (UW). Prior to joining UW in September 2022, Dr. Wu served as a postdoctoral fellow in the Department of Civil and Environmental Engineering at University of Alberta, where she received her MSc and PhD in Construction Engineering and Management in 2013 and 2020 respectively. Prior to her PhD, Dr. Wu worked in the industrial construction sector as a project coordinator with PCL Industrial Management from 2013 to 2017.

An interdisciplinary scholar focused on advancing digital transformation in construction, Dr. Wu’s current research interests include (1) integration of advanced data analytics and complex system modeling to enhance construction practices and (2) development of human-in-the-loop decision support systems to improve construction performance (e.g., sustainability and safety). Dr. Wu has published 10 papers in top journals and conference proceedings, including the Journal of Construction Engineering and Management, Journal of Computing in Civil Engineering, and Automation in Construction. Her research and academic excellence has received notable recognition, including a “Best Paper Award” at the 17th International Conference on Modeling and Applied Simulation, and the outstanding reviewer award from the Journal of Construction Engineering and Management.

As an educator and mentor, Dr. Wu aims to create an inclusive, innovative, and interactive learning environment where students develop personal, technical, and transferable skills to grow today, tomorrow, and into the future.

Comparative Analysis of Hospital Energy Use: Pacific Northwest and Scandinavia

Burpee, Heather; McDade, Erin. (2014). Comparative Analysis of Hospital Energy Use: Pacific Northwest and Scandinavia. Health Environments Research & Design Journal (HERD) (Vendome Group LLC), 8(1), 20 – 44.

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Abstract

OBJECTIVE: This study aimed to establish the potential for significant energy reduction in hospitals in the United States by providing evidence of Scandinavian operational precedents with high Interior Environmental Quality (IEQ) and substantially lower energy profiles than comparable U.S. facilities. These facilities set important precedents for design teams seeking operational examples for achieving aggressive energy and interior environmental quality goals. This examination of operational hospitals is intended to offer hospital owners, designers, and building managers a strong case and concrete framework for strategies to achieve exceptionally high performing buildings. BACKGROUND: Energy efficient hospitals have the potential to significantly impact the U.S.'s overall energy profile, and key stakeholders in the hospital industry need specific, operationally grounded precedents in order to successfully implement informed energy reduction strategies. This study is an outgrowth of previous research evaluating high quality, low energy hospitals that serve as examples for new high performance hospital design, construction, and operation. Through extensive interviews, numerous site visits, the development of case studies, and data collection, this team has established thorough qualitative and quantitative analyses of several contemporary hospitals in Scandinavia and the Pacific Northwest. Many Scandinavian hospitals demonstrate a low energy profile, and when analyzed in comparison with U.S. hospitals, such Scandinavian precedents help define the framework required to make significant changes in the U.S. hospital building industry. METHODS: Eight hospitals, four Scandinavian and four Pacific Northwest, were quantitatively compared using the Environmental Protection Agency's Portfolio Manager, allowing researchers to answer specific questions about the impact of energy source and architectural and mechanical strategies on energy efficiency in operational hospitals. RESULTS: Specific architectural, mechanical, and plant systems make these Scandinavian hospitals more energy efficient than their Pacific Northwest counterparts. More importantly, synergistic systems integration allows for their significant reductions in energy consumption. CONCLUSIONS: This quantitative comparison of operational Scandinavian and Pacific Northwest hospitals resulted in compelling evidence of the potential for deep energy savings in the U.S., and allowed researchers to outline specific strategies for achieving such reductions.

Keywords

Environmental Quality; Energy Consumption; Health Facility Design & Construction; Comparative Studies; Energy Consumption In Hospitals; Pacific Northwest; Scandinavia; Built Environment; Case Study; Design Process; Healthcare Facility Design; Hospital; Post Occupancy

Geospatial and Contextual Approaches to Energy Balance and Health

Berrigan, David; Hipp, J. Aaron; Hurvitz, Philip M.; James, Peter; Jankowska, Marta M.; Kerr, Jacqueline; Laden, Francine; Leonard, Tammy; Mckinnon, Robin A.; Powell-wiley, Tiffany M.; Tarlov, Elizabeth; Zenk, Shannon N.; The Trec Spatial And Contextual Measures And Modeling Work Group. (2015). Geospatial and Contextual Approaches to Energy Balance and Health. Annals Of Gis, 21(2), 157 – 168.

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Abstract

In the past 15¬¨‚Ä†years, a major research enterprise has emerged that is aimed at understanding associations between geographic and contextual features of the environment (especially the built environment) and elements of human energy balance, including diet, weight and physical activity. Here we highlight aspects of this research area with a particular focus on research and opportunities in the United States as an example. We address four main areas: (1) the importance of valid and comparable data concerning behaviour across geographies; (2) the ongoing need to identify and explore new environmental variables; (3) the challenge of identifying the causally relevant context; and (4) the pressing need for stronger study designs and analytical methods. Additionally, we discuss existing sources of geo-referenced health data which might be exploited by interdisciplinary research teams, personnel challenges and some aspects of funding for geospatial research by the US National Institutes of Health in the past decade, including funding for international collaboration and training opportunities. [ABSTRACT FROM AUTHOR]; Copyright of Annals of GIS is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Keywords

Bioenergetics; Geospatial Data; Contextual Analysis; Physical Activity; Obesity; Contextual; Energy Balance; Geospatial; Spatial

Automated Community-Based Housing Response: Offering Temporary Housing Solutions Tailored to Displaced Populations Needs

El-Anwar, Omar; Chen, Lei. (2016). Automated Community-Based Housing Response: Offering Temporary Housing Solutions Tailored to Displaced Populations Needs. Journal Of Computing In Civil Engineering, 30(6).

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Abstract

Following disasters, emergency management agencies are under immense pressure to make quick decisions regarding the provision of temporary housing, including their locations and types. Such decisions can significantly impact the socioeconomic recovery of displaced families and available budgets for other postdisaster activities. To address these challenges, a new holistic temporary housing planning framework is proposed to offer customized housing plans tailored to the specific social, economic, and psychological needs of displaced families while controlling expenditures. This paper presents the theoretical formulation and implementation details of the community-based housing response pool, which is a comprehensive framework that aims at (1)quantifying the specific needs and preferences of each displaced family, (2)evaluating the ability of housing alternatives to meet those needs, (3)computing temporary housing life cycle costs, and (4)optimizing housing decisions accordingly. The paper also presents an application example to demonstrate and evaluate the optimization model capabilities.

Keywords

Decision Making; Disasters; Emergency Management; Life Cycle Costing; Optimisation; Socio-economic Effects; Town And Country Planning; Automated Community-based Housing Response; Temporary Housing Solutions; Displaced Population Needs; Emergency Management Agencies; Temporary Housing Provision; Housing Locations; Housing Types; Socioeconomic Recovery; Displaced Families; Postdisaster Activity Budgets; Holistic Temporary Housing Planning Framework; Customized Housing Plans Tailored; Expenditure Control; Community-based Housing Response Pool; Housing Alternatives Ability Evaluation; Temporary Housing Life Cycle Cost Computing; Housing Decisions Optimization; Optimization Model Capabilities; Multiobjective Optimization; Maeviz-hazturk; Earthquake

Review of Health Impact Assessments Informing Agriculture, Food, and Nutrition Policies, Programs, and Projects in the United States

Cowling, Krycia; Lindberg, Ruth; Dannenberg, Andrew L.; Neff, Roni A.; Pollack, Keshia M. (2017). Review of Health Impact Assessments Informing Agriculture, Food, and Nutrition Policies, Programs, and Projects in the United States. Journal Of Agriculture Food Systems And Community Development, 7(3), 139 – 157.

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Abstract

Policies, programs, and projects related to agriculture, food, and nutrition can significantly affect public health. Health impact assessment (HIA) is one tool that can be used to improve awareness of the health effects of decisions outside the health sector, and increasing the use of HIA for agriculture, food, and nutrition decisions presents an opportunity to improve public health. This study identifies and reviews all HIAs completed in the United States on agriculture, food, and nutrition topics. Studies were identified from HIA databases, an Internet search, and expert consultation. Key characteristics were extracted from each study: type of decision assessed, location, level of jurisdiction, lead organization, methods of analysis, and recommendations. Twenty-five eligible HIAs that were conducted between 2007 and 2016 address topics such as regulations on land use for agriculture; food and beverage taxes; and developing grocery stores in food deserts. These HIAs have predominantly supported policy, as opposed to program or project, decisions. Four case studies are presented to illustrate in detail the HIA process and the mechanisms through which HIA findings affected policy decisions. Among other influences, these four HIAs affected the language of legislation and provided guidance for federal regulations. These examples demonstrate several findings: appropriate timing is critical for findings to have an influence; diverse stakeholder involvement generates support for recommendations; and the clear communication of feasible recommendations is highly important. There is substantial scope to increase the use of HIA in the agriculture, food, and nutrition sectors. Challenges include the paucity of monitoring and evaluation of HIAs' effects on health outcomes, and the limited funding available to conduct HIAs. Opportunities include integrating HIAs and community food assessments, and more widely sharing HIA findings to inform related decisions in different jurisdictions and to increase support for additional HIAs that address the food system.

Keywords

Environments; Obesity; Health Impact Assessment; Policy; Food; Nutrition; Agriculture

A New Method to Visualize Obesity Prevalence in Seattle-King County at the Census Block Level

Drewnowski, A.; Buszkiewicz, J.; Aggarwal, A.; Cook, A.; Moudon, A. V. (2018). A New Method to Visualize Obesity Prevalence in Seattle-King County at the Census Block Level. Obesity Science & Practice, 4(1), 14 – 19.

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Abstract

Objective The aim of this study is to map obesity prevalence in Seattle King County at the census block level. Methods Data for 1,632 adult men and women came from the Seattle Obesity Study I. Demographic, socioeconomic and anthropometric data were collected via telephone survey. Home addresses were geocoded, and tax parcel residential property values were obtained from the King County tax assessor. Multiple logistic regression tested associations between house prices and obesity rates. House prices aggregated to census blocks and split into deciles were used to generate obesity heat maps. Results Deciles of property values for Seattle Obesity Study participants corresponded to county-wide deciles. Low residential property values were associated with high obesity rates (odds ratio, OR: 0.36; 95% confidence interval, CI [0.25, 0.51] in tertile 3 vs. tertile 1), adjusting for age, gender, race, home ownership, education, and incomes. Heat maps of obesity by census block captured differences by geographic area. Conclusion Residential property values, an objective measure of individual and area socioeconomic status, are a useful tool for visualizing socioeconomic disparities in diet quality and health.

Keywords

Residential Property-values; Socioeconomic-status; Health; Environment; Adults; Census Block; Geographic Information Systems; Mapping Obesity; Ses Measures

Why Neighborhood Park Proximity Is Not Associated with Total Physical Activity

Stewart, Orion T.; Moudon, Anne Vernez; Littman, Alyson J.; Seto, Edmund; Saelens, Brian E. (2018). Why Neighborhood Park Proximity Is Not Associated with Total Physical Activity. Health & Place, 52, 163 – 169.

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Abstract

This study explored how parks within the home neighborhood contribute to total physical activity (PA) by isolating park-related PA. Seattle-area adults (n = 634) were observed using time-matched accelerometer, Global Positioning System (GPS), and travel diary instruments. Of the average 42.3 min of daily total PA, only 11% was related to parks. Both home neighborhood park count and area were associated with park-based PA, but not with PA that occurred elsewhere, which comprised 89% of total PA. This study demonstrates clear benefits of neighborhood parks for contributing to park-based PA while helping explain why proximity to parks is rarely associated with overall PA.

Keywords

Physical Activity; Parks; Urban Planning; Environmental Health; Global Positioning System; Built Environment; Green Space; Recreation; Social Determinants Of Health; Health Research; Accelerometer Data; Self-selection; United-states; Public Parks; Older Women; Walking; Adults; Facilities