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Dickson CA, Ergun-Longmire B, Greydanus DE, Eke R, Giedeman B, Nickson NM, Hoang LN, Adabanya U, Payares DVP, Chahin S, McCrary J, White K, Moon JH, Haitova N, Deleon J, Apple RW. Health equity in pediatrics: Current concepts for the care of children in the 21st century (Dis Mon). Dis Mon 2024; 70:101631. [PMID: 37739834 DOI: 10.1016/j.disamonth.2023.101631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
This is an analysis of important aspects of health equity in caring for children and adolescents written by a multidisciplinary team from different medical centers. In this discussion for clinicians, we look at definitions of pediatric health equity and the enormous impact of social determinants of health in this area. Factors involved with pediatric healthcare disparities that are considered include race, ethnicity, gender, age, poverty, socioeconomic status, LGBT status, living in rural communities, housing instability, food insecurity, access to transportation, availability of healthcare professionals, the status of education, and employment as well as immigration. Additional issues involved with health equity in pediatrics that are reviewed will include the impact of the COVID-19 pandemic, behavioral health concepts, and the negative health effects of climate change. Recommendations that are presented include reflection of one's own attitudes on as well as an understanding of these topics, consideration of the role of various healthcare providers (i.e., community health workers, peer health navigators, others), the impact of behavioral health integration, and the need for well-conceived curricula as well as multi-faceted training programs in pediatric health equity at the undergraduate and postgraduate medical education levels. Furthermore, ongoing research in pediatric health equity is needed to scrutinize current concepts and stimulate the development of ideas with an ever-greater positive influence on the health of our beloved children. Clinicians caring for children can serve as champions for the optimal health of children and their families; in addition, these healthcare professionals are uniquely positioned in their daily work to understand the drivers of health inequities and to be advocates for optimal health equity in the 21st century for all children and adolescents.
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Affiliation(s)
- Cheryl A Dickson
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Berrin Ergun-Longmire
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Donald E Greydanus
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
| | - Ransome Eke
- Department of Community Medicine, Mercer University School of Medicine, Columbus, GA, United States
| | - Bethany Giedeman
- Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Nikoli M Nickson
- Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Linh-Nhu Hoang
- Department of Psychology, Western Michigan University, Kalamazoo, MI, United States
| | - Uzochukwu Adabanya
- Department of Community Medicine, Mercer University School of Medicine, Columbus, GA, United States
| | - Daniela V Pinto Payares
- Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Summer Chahin
- Department of Psychology, C.S. Mott Children's Hospital/Michigan Medicine, Ann Arbor, MI, United States
| | - Jerica McCrary
- Center for Rural Health and Health Disparities, Mercer University School of Medicine, Columbus, GA, United States
| | - Katie White
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Jin Hyung Moon
- Department of Community Medicine, Mercer University School of Medicine, Columbus, GA, United States
| | - Nizoramo Haitova
- Department of Educational Leadership, Research and Technology, Western Michigan University, Kalamazoo, MI, United States
| | - Jocelyn Deleon
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
| | - Roger W Apple
- Department of Pediatric & Adolescent Medicine, Western Michigan University, Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States
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Varshavsky JR, Rayasam SDG, Sass JB, Axelrad DA, Cranor CF, Hattis D, Hauser R, Koman PD, Marquez EC, Morello-Frosch R, Oksas C, Patton S, Robinson JF, Sathyanarayana S, Shepard PM, Woodruff TJ. Current practice and recommendations for advancing how human variability and susceptibility are considered in chemical risk assessment. Environ Health 2023; 21:133. [PMID: 36635753 PMCID: PMC9835253 DOI: 10.1186/s12940-022-00940-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
A key element of risk assessment is accounting for the full range of variability in response to environmental exposures. Default dose-response methods typically assume a 10-fold difference in response to chemical exposures between average (healthy) and susceptible humans, despite evidence of wider variability. Experts and authoritative bodies support using advanced techniques to better account for human variability due to factors such as in utero or early life exposure and exposure to multiple environmental, social, and economic stressors.This review describes: 1) sources of human variability and susceptibility in dose-response assessment, 2) existing US frameworks for addressing response variability in risk assessment; 3) key scientific inadequacies necessitating updated methods; 4) improved approaches and opportunities for better use of science; and 5) specific and quantitative recommendations to address evidence and policy needs.Current default adjustment factors do not sufficiently capture human variability in dose-response and thus are inadequate to protect the entire population. Susceptible groups are not appropriately protected under current regulatory guidelines. Emerging tools and data sources that better account for human variability and susceptibility include probabilistic methods, genetically diverse in vivo and in vitro models, and the use of human data to capture underlying risk and/or assess combined effects from chemical and non-chemical stressors.We recommend using updated methods and data to improve consideration of human variability and susceptibility in risk assessment, including the use of increased default human variability factors and separate adjustment factors for capturing age/life stage of development and exposure to multiple chemical and non-chemical stressors. Updated methods would result in greater transparency and protection for susceptible groups, including children, infants, people who are pregnant or nursing, people with disabilities, and those burdened by additional environmental exposures and/or social factors such as poverty and racism.
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Affiliation(s)
- Julia R Varshavsky
- Department of Health Sciences and Department of Civil and Environmental Engineering Northeastern University, Boston, MA, 02115, USA.
| | - Swati D G Rayasam
- Department of Obstetrics, Program on Reproductive Health and the Environment, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | | | - Carl F Cranor
- Department of Philosophy, University of California, Riverside, Riverside, CA, USA
- Environmental Toxicology Graduate Program, College of Natural and Agricultural Sciences, University of California, Riverside, Riverside, CA, USA
| | - Dale Hattis
- The George Perkins Marsh Institute, Clark University, Worcester, MA, USA
| | - Russ Hauser
- Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Patricia D Koman
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | | | - Rachel Morello-Frosch
- School of Public Health, University of California, Berkeley, Berkeley, CA, USA
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
| | - Catherine Oksas
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
| | | | - Joshua F Robinson
- Department of Obstetrics, Program on Reproductive Health and the Environment, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
- Center for Reproductive Sciences and Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington, Seattle, WA, USA
- Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Tracey J Woodruff
- Department of Obstetrics, Program on Reproductive Health and the Environment, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
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Rahimi-Ardabili H, Magrabi F, Coiera E. Digital health for climate change mitigation and response: a scoping review. J Am Med Inform Assoc 2022; 29:2140-2152. [PMID: 35960171 PMCID: PMC9667157 DOI: 10.1093/jamia/ocac134] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/23/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Climate change poses a major threat to the operation of global health systems, triggering large scale health events, and disrupting normal system operation. Digital health may have a role in the management of such challenges and in greenhouse gas emission reduction. This scoping review explores recent work on digital health responses and mitigation approaches to climate change. MATERIALS AND METHODS We searched Medline up to February 11, 2022, using terms for digital health and climate change. Included articles were categorized into 3 application domains (mitigation, infectious disease, or environmental health risk management), and 6 technical tasks (data sensing, monitoring, electronic data capture, modeling, decision support, and communication). The review was PRISMA-ScR compliant. RESULTS The 142 included publications reported a wide variety of research designs. Publication numbers have grown substantially in recent years, but few come from low- and middle-income countries. Digital health has the potential to reduce health system greenhouse gas emissions, for example by shifting to virtual services. It can assist in managing changing patterns of infectious diseases as well as environmental health events by timely detection, reducing exposure to risk factors, and facilitating the delivery of care to under-resourced areas. DISCUSSION While digital health has real potential to help in managing climate change, research remains preliminary with little real-world evaluation. CONCLUSION Significant acceleration in the quality and quantity of digital health climate change research is urgently needed, given the enormity of the global challenge.
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Affiliation(s)
- Hania Rahimi-Ardabili
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, Australia
| | - Farah Magrabi
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, Australia
| | - Enrico Coiera
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, Australia
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Fuller MG, Cavanaugh N, Green S, Duderstadt K. Climate Change and State of the Science for Children's Health and Environmental Health Equity. J Pediatr Health Care 2022; 36:20-26. [PMID: 34493406 DOI: 10.1016/j.pedhc.2021.08.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/19/2021] [Accepted: 08/10/2021] [Indexed: 01/29/2023]
Abstract
INTRODUCTION Climate change is impacting the physical and mental health of children and families. This is a state of the science update regarding the impacts of climate change for pediatric-focused health care providers and advanced practice registered nurses. METHOD Using an equity lens, the authors reviewed and synthesized current literature regarding the adverse impacts of climate change. RESULTS The poor and communities of color are disproportionately impacted by climate change. Physical health impacts include increased vector and water-born infectious diseases, increases in asthma and respiratory infections, and undernutrition. Social disruptions lead to human trafficking. Climate change is associated with mental health concerns, including anxiety and posttraumatic stress after natural disasters. DISCUSSION As clinicians, pediatric-focused providers, and advanced practice registered nurses should use multipronged and interdisciplinary approaches to address or prevent the adverse impacts of climate change. Advocacy at all government levels is necessary to safeguard children and vulnerable populations.
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McDermott-Levy R, Scolio M, Shakya KM, Moore CH. Factors That Influence Climate Change-Related Mortality in the United States: An Integrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158220. [PMID: 34360518 PMCID: PMC8345936 DOI: 10.3390/ijerph18158220] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/23/2021] [Accepted: 07/29/2021] [Indexed: 12/02/2022]
Abstract
Global atmospheric warming leads to climate change that results in a cascade of events affecting human mortality directly and indirectly. The factors that influence climate change-related mortality within the peer-reviewed literature were examined using Whittemore and Knafl’s framework for an integrative review. Ninety-eight articles were included in the review from three databases—PubMed, Web of Science, and Scopus—with literature filtered by date, country, and keywords. Articles included in the review address human mortality related to climate change. The review yielded two broad themes in the literature that addressed the factors that influence climate change-related mortality. The broad themes are environmental changes, and social and demographic factors. The meteorological impacts of climate change yield a complex cascade of environmental and weather events that affect ambient temperatures, air quality, drought, wildfires, precipitation, and vector-, food-, and water-borne pathogens. The identified social and demographic factors were related to the social determinants of health. The environmental changes from climate change amplify the existing health determinants that influence mortality within the United States. Mortality data, national weather and natural disaster data, electronic medical records, and health care provider use of International Classification of Disease (ICD) 10 codes must be linked to identify climate change events to capture the full extent of climate change upon population health.
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Affiliation(s)
- Ruth McDermott-Levy
- M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, PA 19085, USA
- Correspondence:
| | - Madeline Scolio
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Kabindra M. Shakya
- Department of Geography and the Environment, Villanova University, Villanova, PA 19085, USA; (M.S.); (K.M.S.)
| | - Caroline H. Moore
- Georgia Baptist College of Nursing, Mercer University, Atlanta, GA 30341, USA;
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Carter JM, Koman PD, Cameron L, Ferguson A, Jacuzzo P, Duvall J. Assessing perceptions and priorities for health impacts of climate change within local Michigan health departments. JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES 2021; 11:595-609. [PMID: 33996379 PMCID: PMC8112836 DOI: 10.1007/s13412-021-00679-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/14/2021] [Indexed: 06/12/2023]
Abstract
UNLABELLED Climate change affects Michigan's public health in several primary ways, including increased incidences of vector-borne, waterborne, heat-related, and respiratory illness. Because local health departments (LHDs) play a central role in surveillance and preventative health services, they are among the first institutions to contend with the local impacts of climate change. To assess current perceptions among Michigan public health officials, an online survey was conducted in partnership with the Michigan Association for Local Public Health (MALPH). Most of the Michigan respondents (62%, n = 34) agreed that their jurisdictions have experienced climate change in the last 20 years, and 77% agreed that climate change will impact their jurisdictions in the coming 20 years. However, only 35% (n = 34) of Michigan officials agreed that climate change is a priority in their departments. About one quarter (25%, n = 34) of Michigan LHD respondents did not know about the level of expertise of either the state and federal agencies, responsible for assisting them with information and programs related to climate change and health. Uncertainty regarding the resources available to them may hinder LHDs from developing necessary preparedness, so meeting this need could bolster the public health response to climate change. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13412-021-00679-0.
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Affiliation(s)
- Julie M. Carter
- Program in the Environment, College of Literature, Science, and the Arts and the School for Environment and Sustainability, University of Michigan, 440 Church St, Ann Arbor, MI 48109 USA
| | - Patricia D. Koman
- Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109 USA
| | - Lorraine Cameron
- Division of Environmental Health, Michigan Department of Health and Human Services, Suite 409, PO Box 30037, Lansing, MI 48909 USA
| | - Aaron Ferguson
- Division of Environmental Health, Michigan Department of Health and Human Services, Suite 409, PO Box 30037, Lansing, MI 48909 USA
| | - Patrick Jacuzzo
- Environmental Health Division, Marquette County Health Department, 184 US 41 East, Negaunee, MI 49866 USA
| | - Jason Duvall
- Program in the Environment, College of Literature, Science, and the Arts and the School for Environment and Sustainability, University of Michigan, 440 Church St, Ann Arbor, MI 48109 USA
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Niu Y, Li Z, Gao Y, Liu X, Xu L, Vardoulakis S, Yue Y, Wang J, Liu Q. A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units. CURRENT CLIMATE CHANGE REPORTS 2021; 7:87-97. [PMID: 34745843 PMCID: PMC8531084 DOI: 10.1007/s40641-021-00173-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/29/2021] [Indexed: 06/13/2023]
Abstract
PURPOSE OF REVIEW This review aims to identify the key factors, methods, and spatial units used in the development and validation of the heat vulnerability index (HVI) and discuss the underlying limitations of the data and methods by evaluating the performance of the HVI. RECENT FINDINGS Thirteen studies characterizing the factors of the HVI development and relating the index with validation data were identified. Five types of factors (i.e., hazard exposure, demographic characteristics, socioeconomic conditions, built environment, and underlying health) of the HVI development were identified, and the top five were social cohesion, race, and/or ethnicity, landscape, age, and economic status. The principal component analysis/factor analysis (PCA/FA) was often used in index development, and four types of spatial units (i.e., census tracts, administrative area, postal code, grid) were used for establishing the relationship between factors and the HVI. Moreover, although most studies showed that a higher HVI was often associated with the increase in health risk, the strength of the relationship was weak. SUMMARY This review provides a retrospect of the major factors, methods, and spatial units used in development and validation of the HVI and helps to define the framework for future studies. In the future, more information on the hazard exposure, underlying health, governance, and protection awareness should be considered in the HVI development, and the duration and location of validation data should be strengthened to verify the reliability of HVI. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s40641-021-00173-3.
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Affiliation(s)
- Yanlin Niu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
- Beijing Center for Disease Prevention and Control, Institute for Nutrition and Food Hygiene, Beijing, China
- Research Center for Preventive Medicine of Beijing, Beijing, China
- University College London, London, UK
| | - Zhichao Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yuan Gao
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
| | - Xiaobo Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
| | - Lei Xu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
- Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing, China
| | - Sotiris Vardoulakis
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, Australia
| | - Yujuan Yue
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
| | - Jun Wang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
| | - Qiyong Liu
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping, Beijing, 102206 China
- University College London, London, UK
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Clemens KK, Ouédraogo AM, Li L, Voogt JA, Gilliland J, Krayenhoff ES, Leroyer S, Shariff SZ. Evaluating the association between extreme heat and mortality in urban Southwestern Ontario using different temperature data sources. Sci Rep 2021; 11:8153. [PMID: 33854077 PMCID: PMC8046761 DOI: 10.1038/s41598-021-87203-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 03/22/2021] [Indexed: 12/13/2022] Open
Abstract
Urban areas have complex thermal distribution. We examined the association between extreme temperature and mortality in urban Ontario, using two temperature data sources: high-resolution and weather station data. We used distributed lag non-linear Poisson models to examine census division-specific temperature–mortality associations between May and September 2005–2012. We used random-effect multivariate meta-analysis to pool results, adjusted for air pollution and temporal trends, and presented risks at the 99th percentile compared to minimum mortality temperature. As additional analyses, we varied knots, examined associations using different temperature metrics (humidex and minimum temperature), and explored relationships using different referent values (most frequent temperature, 75th percentile of temperature distribution). Weather stations yielded lower temperatures across study months. U-shaped associations between temperature and mortality were observed using both high-resolution and weather station data. Temperature–mortality relationships were not statistically significant; however, weather stations yielded estimates with wider confidence intervals. Similar findings were noted in additional analyses. In urban environmental health studies, high-resolution temperature data is ideal where station observations do not fully capture population exposure or where the magnitude of exposure at a local level is important. If focused upon temperature–mortality associations using time series, either source produces similar temperature–mortality relationships.
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Affiliation(s)
- Kristin K Clemens
- ICES, Toronto, ON, Canada. .,Department of Medicine, Western University, London, ON, Canada. .,Department of Epidemiology, Western University, London, ON, Canada. .,Lawson Health Research Institute, London, ON, Canada. .,St. Joseph's Health Care London, 268 Grosvenor Street, London, ON, N6A 4V2, Canada.
| | | | | | - James A Voogt
- Department of Geography, Western University, London, ON, Canada
| | - Jason Gilliland
- Department of Epidemiology, Western University, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada.,Department of Geography, Western University, London, ON, Canada.,Department of Pediatrics, Western University, London, ON, Canada.,School of Health Studies, Western University, London, ON, Canada
| | - E Scott Krayenhoff
- School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
| | - Sylvie Leroyer
- Meteorological Research Division, Environment and Climate Change Canada, Gatineau, Canada
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Gronlund CJ, Berrocal VJ. Modeling and comparing central and room air conditioning ownership and cold-season in-home thermal comfort using the American Housing Survey. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:814-823. [PMID: 32203058 PMCID: PMC7483423 DOI: 10.1038/s41370-020-0220-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 01/10/2020] [Accepted: 02/07/2020] [Indexed: 05/30/2023]
Abstract
Household-level information on central air conditioning (cenAC) and room air conditioning (rmAC) air conditioning and cold-weather thermal comfort are often missing from publicly available housing databases hindering research and action on climate adaptation and air pollution exposure reduction. We modeled these using information from the American Housing Survey for 2003-2013 and 140 US core-based statistical areas employing variables that would be present in publicly available parcel records. We present random-intercept logistic regression models with either cenAC, rmAC or "home was uncomfortably cold for 24 h or more" (tooCold) as outcome variables and housing value, rented vs. owned, age, and multi- vs. single-family, each interacted with cooling- or heating-degree days as predictors. The out-of-sample predicted probabilities for years 2015-2017 were compared with corresponding American Housing Survey values (0 or 1). Using a 0.5 probability threshold, the model had 63% specificity (true negative rate), and 91% sensitivity (true positive rate) for cenAC, while specificity and sensitivity for rmAC were 94% and 34%, respectively. Area-specific sensitivities and specificities varied widely. For tooCold, the overall sensitivity was effectively 0%. Future epidemiologic studies, heat vulnerability maps, and intervention screenings may reliably use these or similar AC models with parcel-level data to improve understanding of health risk and the spatial patterning of homes without AC.
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Affiliation(s)
- Carina J Gronlund
- Social Environment and Health Program, Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI, USA.
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