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Klompmaker JO, Hart JE, Dominici F, James P, Roscoe C, Schwartz J, Yanosky JD, Zanobetti A, Laden F. Associations of fine particulate matter with incident cardiovascular disease; comparing models using ZIP code-level and individual-level fine particulate matter and confounders. Sci Total Environ 2024; 926:171866. [PMID: 38521279 PMCID: PMC11034806 DOI: 10.1016/j.scitotenv.2024.171866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/23/2024] [Accepted: 03/19/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND PM2.5 has been positively associated with cardiovascular disease (CVD) incidence. Most evidence has come from cohorts and administrative databases. Cohorts typically have extensive information on potential confounders and residential-level exposures. Administrative databases are usually more representative but typically lack information on potential confounders and often only have exposures at coarser geographies (e.g., ZIP code). The weaknesses in both types of studies have been criticized for potentially jeopardizing the validity of their findings for regulatory purposes. METHODS We followed 101,870 participants from the US-based Nurses' Health Study (2000-2016) and linked residential-level PM2.5 and individual-level confounders, and ZIP code-level PM2.5 and confounders. We used time-varying Cox proportional hazards models to examine associations with CVD incidence. We specified basic models (adjusted for individual-level age, race and calendar year), individual-level confounder models, and ZIP code-level confounder models. RESULTS Residential- and ZIP code-level PM2.5 were strongly correlated (Pearson r = 0.88). For residential-level PM2.5, the hazard ratio (HR, 95 % confidence interval) per 5 μg/m3 increase was 1.06 (1.01, 1.11) in the basic and 1.04 (0.99, 1.10) in the individual-level confounder model. For ZIP code-level PM2.5, the HR per 5 μg/m3 was 1.04 (0.99, 1.08) in the basic and 1.02 (0.97, 1.08) in the ZIP code-level confounder model. CONCLUSION We observed suggestive positive, but not statistically significant, associations between long-term PM2.5 and CVD incidence, regardless of the exposure or confounding model. Although differences were small, associations from models with individual-level confounders and residential-level PM2.5 were slightly stronger than associations from models with ZIP code-level confounders and PM2.5.
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Affiliation(s)
- Jochem O Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Charlie Roscoe
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
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Patwary MM, Sakhvidi MJZ, Ashraf S, Dadvand P, Browning MHEM, Alam MA, Bell ML, James P, Astell-Burt T. Impact of green space and built environment on metabolic syndrome: A systematic review with meta-analysis. Sci Total Environ 2024; 923:170977. [PMID: 38360326 DOI: 10.1016/j.scitotenv.2024.170977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/03/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
Metabolic Syndrome presents a significant public health challenge associated with an increased risk of noncommunicable diseases such as cardiovascular conditions. Evidence shows that green spaces and the built environment may influence metabolic syndrome. We conducted a systematic review and meta-analysis of observational studies published through August 30, 2023, examining the association of green space and built environment with metabolic syndrome. A quality assessment of the included studies was conducted using the Office of Health Assessment and Translation (OHAT) tool. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessment was used to evaluate the overall quality of evidence. Our search retrieved 18 studies that met the inclusion criteria and were included in our review. Most were from China (n = 5) and the USA (n = 5), and most used a cross-sectional study design (n = 8). Nine studies (50 %) reported only green space exposures, seven (39 %) reported only built environment exposures, and two (11 %) reported both built environment and green space exposures. Studies reported diverse definitions of green space and the built environment, such as availability, accessibility, and quality, particularly around participants' homes. The outcomes focused on metabolic syndrome; however, studies applied different definitions of metabolic syndrome. Meta-analysis results showed that an increase in normalized difference vegetation index (NDVI) within a 500-m buffer was associated with a lower risk of metabolic syndrome (odds ratio [OR] = 0.90, 95%CI = 0.87-0.93, I2 = 22.3 %, n = 4). A substantial number of studies detected bias for exposure classification and residual confounding. Overall, the extant literature shows a 'limited' strength of evidence for green space protecting against metabolic syndrome and an 'inadequate' strength of evidence for the built environment associated with metabolic syndrome. Studies with more robust study designs, better controlled confounding factors, and stronger exposure measures are needed to understand better what types of green spaces and built environment features influence metabolic syndrome.
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Affiliation(s)
- Muhammad Mainuddin Patwary
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh.
| | - Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Yazd Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sadia Ashraf
- Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Payam Dadvand
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew H E M Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
| | - Md Ashraful Alam
- Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Michelle L Bell
- Yale School of the Environment, Yale University, New Haven, CT, United States
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA
| | - Thomas Astell-Burt
- School of Architecture, Design, and Planning, University of Sydney, Australia
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Dong J, Browning MHEM, Reuben A, McAnirlin O, Yuan S, Stephens C, Maisonet M, Zhang K, Hart JE, James P, Yeager R. The paradox of high greenness and poor health in rural Central Appalachia. Environ Res 2024; 248:118400. [PMID: 38309568 DOI: 10.1016/j.envres.2024.118400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
While many studies have found positive correlations between greenness and human health, rural Central Appalachia is an exception. The region has high greenness levels but poor health. The purpose of this commentary is to provide a possible explanation for this paradox: three sets of factors overwhelming or attenuating the health benefits of greenness. These include environmental (e.g., steep typography and limited access to green space used for outdoor recreation), social (e.g., chronic poverty, declining coal industry, and limited access to healthcare), and psychological and behavioral factors (e.g., perceptions about health behaviors, healthcare, and greenness). The influence of these factors on the expected health benefits of greenness should be considered as working hypotheses for future research. Policymakers and public health officials need to ensure that greenness-based interventions account for contextual factors and other determinants of health to ensure these interventions have the expected health benefits.
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Affiliation(s)
- Jiaying Dong
- School of Architecture, Huaqiao University, Xiamen, China; Virtual Reality and Nature Lab, Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA
| | - Matthew H E M Browning
- Virtual Reality and Nature Lab, Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA.
| | - Aaron Reuben
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Olivia McAnirlin
- Virtual Reality and Nature Lab, Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA
| | - Shuai Yuan
- Virtual Reality and Nature Lab, Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA
| | | | - Mildred Maisonet
- Biostatistics and Epidemiology Department, College of Public Health, East Tennessee State University, Johnson City, TN, USA
| | - Kuiran Zhang
- Virtual Reality and Nature Lab, Department of Parks, Recreation & Tourism Management, Clemson University, Clemson, SC, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ray Yeager
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, KY, USA
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Riggs DW, DuPre NC, James P, Rai SN, Yeager R, Sears CG, Laden F, Bhatnagar A. Association of Ecoregion Distribution of Greenness With Cardiovascular Mortality: A Longitudinal Ecological Study in the United States. Circ Res 2024; 134:1221-1223. [PMID: 38662855 PMCID: PMC11047167 DOI: 10.1161/circresaha.124.324427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Affiliation(s)
- Daniel W. Riggs
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
| | - Natalie C. DuPre
- Department of Epidemiology and Population Health, University of Louisville, Louisville, KY, United States
| | - Peter James
- Department of Population Medicine, Harvard Medical Schrefool and Harvard Pilgrim Health Care Institute, Boston, MA, United States
- Department of Environmental Health, Harvard T.H Chan School of Public Health, Boston, MA, United States
| | - Shesh N. Rai
- Department of Environmental and Public Health Sciences, University of Cincinnati, Cincinnati, OH, United States
| | - Ray Yeager
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
| | - Clara G. Sears
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
| | - Francine Laden
- Department of Environmental Health, Harvard T.H Chan School of Public Health, Boston, MA, United States
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA, United States
| | - Aruni Bhatnagar
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
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Towe-Goodman N, McArthur KL, Willoughby M, Swingler MM, Wychgram C, Just AC, Kloog I, Bennett DH, Berry D, Hazlehurst MF, James P, Jimenez MP, Lai JS, Leve LD, Gatzke-Kopp L, Schweitzer JB, Bekelman TA, Calub C, Carnell S, Deoni S, D’Sa V, Kelly C, Koinis-Mitchell D, Petriello M, Thapaliya G, Wright RJ, Zhang X, Kress AM. Green Space and Internalizing or Externalizing Symptoms Among Children. JAMA Netw Open 2024; 7:e245742. [PMID: 38598238 PMCID: PMC11007572 DOI: 10.1001/jamanetworkopen.2024.5742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/08/2024] [Indexed: 04/11/2024] Open
Abstract
Importance Evidence suggests that living near green space supports mental health, but studies examining the association of green space with early mental health symptoms among children are rare. Objective To evaluate the association between residential green space and early internalizing (eg, anxiety and depression) and externalizing (eg, aggression and rule-breaking) symptoms. Design, Setting, and Participants Data for this cohort study were drawn from the Environmental Influences on Child Health Outcomes cohort; analysis was conducted from July to October 2023. Children born between 2007 and 2013 with outcome data in early (aged 2-5 years) and/or middle (aged 6-11 years) childhood who resided in 41 states across the US, drawing from clinic, hospital, and community-based cohorts, were included. Cohort sites were eligible if they recruited general population participants and if at least 30 children had outcome and residential address data to measure green space exposure. Nine cohorts with 13 sites met these criteria. Children diagnosed with autism or developmental delay were excluded, and 1 child per family was included. Exposures Green space exposure was measured using a biannual (ie, summer and winter) Normalized Difference Vegetation Index, a satellite image-based indicator of vegetation density assigned to monthly residential history from birth to outcome assessment. Main Outcome and Measures Child internalizing and externalizing symptoms were assessed using the Child Behavior Checklist for Ages 1½ to 5 or 6 to 18. The association between green space and internalizing and externalizing symptoms was modeled with multivariable linear regression using generalized estimating equations, adjusting for birthing parent educational level, age at delivery, child sex, prematurity, and neighborhood socioeconomic vulnerability. Models were estimated separately for early and middle childhood samples. Results Among 2103 children included, 1061 (50.5%) were male; 606 (29.1%) identified as Black, 1094 (52.5%) as White, 248 (11.9%) as multiple races, and 137 (6.6%) as other races. Outcomes were assessed at mean (SD) ages of 4.2 (0.6) years in 1469 children aged 2 to 5 years and 7.8 (1.6) years in 1173 children aged 6 to 11 years. Greater green space exposure was associated with fewer early childhood internalizing symptoms in fully adjusted models (b = -1.29; 95% CI, -1.62 to -0.97). No associations were observed between residential green space and internalizing or externalizing symptoms in middle childhood. Conclusions and Relevance In this study of residential green space and children's mental health, the association of green space with fewer internalizing symptoms was observed only in early childhood, suggesting a sensitive period for nature exposure. Policies protecting and promoting access to green space may help alleviate early mental health risk.
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Affiliation(s)
- Nissa Towe-Goodman
- Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill
| | - Kristen L. McArthur
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Michael Willoughby
- Education and Workforce Development, RTI International, Research Triangle Park, North Carolina
| | - Margaret M. Swingler
- Frank Porter Graham Child Development Institute, University of North Carolina at Chapel Hill, Chapel Hill
| | - Cara Wychgram
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Allan C. Just
- Department of Epidemiology, Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Deborah H. Bennett
- Department of Public Health Sciences, University of California, Davis, Sacramento
| | - Daniel Berry
- Institute of Child Development, University of Minnesota, Minneapolis
| | - Marnie F. Hazlehurst
- Department of Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health, Boston, Massachusetts
| | - Marcia Pescador Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Jin-Shei Lai
- Department of Medical Social Sciences, Northwestern University, Chicago, Illinois
| | - Leslie D. Leve
- Prevention Science Institute, University of Oregon, Eugene
| | - Lisa Gatzke-Kopp
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park
| | - Julie B. Schweitzer
- Department of Public Health Sciences, University of California, Davis, Sacramento
| | - Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Catrina Calub
- Department of Public Health Sciences, University of California, Davis, Sacramento
| | - Susan Carnell
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Sean Deoni
- Maternal, Newborn, and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, Seattle, Washington
| | - Viren D’Sa
- Department of Pediatrics, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Carrie Kelly
- Department of Pediatrics, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Daphne Koinis-Mitchell
- Department of Pediatrics, Rhode Island Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Michael Petriello
- Institute of Environmental Health Sciences, Department of Pharmacology, Wayne State University, Detroit, Michigan
| | - Gita Thapaliya
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Rosalind J. Wright
- Department of Epidemiology, Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Xueying Zhang
- Education and Workforce Development, RTI International, Research Triangle Park, North Carolina
| | - Amii M. Kress
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
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Jin T, Kosheleva A, Castro E, Qiu X, James P, Schwartz J. Long-term noise exposures and cardiovascular diseases mortality: A study in 5 U.S. states. Environ Res 2024; 245:118092. [PMID: 38163540 PMCID: PMC10923011 DOI: 10.1016/j.envres.2023.118092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/10/2023] [Accepted: 12/30/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Previous studies have linked noise exposure with adverse cardiovascular events. However, evidence remains inconsistent, and most previous studies only focused on traffic noise, excluding other anthropogenic sources like constructions, industrial process and commercial activities. Additionally, few studies have been conducted in the U.S. or evaluated the non-linear exposure-response relationships. METHODS We conducted a relative incidence analysis study using all cardiovascular diseases mortality as cases (n = 936,019) and external causes mortality (n = 232,491) as contrast outcomes. Mortality records geocoded at residential addresses were obtained from five U.S. states (Indiana, 2007; Kansas, 2007-2009, Missouri, 2010-2019, Ohio, 2007-2013, Texas, 2007-2016). Time-invariant long-term noise exposure was obtained from a validated model developed based on acoustical measurements across 2000-2014. Noises from both natural sources (natural activities, including animals, insects, winds, water flows, thunder, etc.) and anthropogenic sources (human activities, including transportation, industrial activities, community facilities & infrastructures, commercial activities, entertainments, etc.) were included. We used daytime and nighttime total anthropogenic noise & day-night average sound pressure level combining natural and anthropogenic sources as exposures. Logistic regression models were fit controlling for Census tract-level & individual-level characteristics. We examined potential modification by sex by interaction terms and potential non-linear associations by thin plate spline terms. RESULTS We observed positive associations for daytime anthropogenic L50 (sound level exceeded 50% of time) noise (10-dBA OR = 1.047, 95%CI 1.025-1.069), nighttime anthropogenic L50 noise (10-dBA OR = 1.061, 95%CI 1.033-1.091) in a two-exposure-term model, and overall Ldn (day-night average) sound pressure level (10-dBA OR = 1.064, 95%CI 1.040-1.089) in single-exposure-term model. Females were more susceptible to all three exposures. All exposures showed monotonic positive associations with cardiovascular mortality up to certain thresholds around 45-55 dBA, with a generally flattened or decreasing trend beyond those thresholds. CONCLUSIONS Both daytime anthropogenic and nighttime anthropogenic noises were associated with cardiovascular disease mortality, and associations were stronger in females.
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Affiliation(s)
- Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Chen N, Mita C, Chowdhury-Paulino IM, Shreves AH, Hu CR, Yi L, James P. The built environment and cancer survivorship: A scoping review. Health Place 2024; 86:103206. [PMID: 38387361 DOI: 10.1016/j.healthplace.2024.103206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/02/2024] [Accepted: 01/29/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND There are more than 32 million cancer survivors worldwide. The built environment is one of the contextual factors that may influence cancer survivorship. However, studies investigating the interdisciplinary field of the built environment and cancer survivorship are lacking. OBJECTIVE To conduct a systematic review of the existing literature regarding the relationship between the built environment and cancer survivorship, identify any knowledge gaps, and recommend future research directions. METHODS A systematic literature search was performed by searching OVID Medline, Embase, CINAHL, and Web of Science Core Collection. RESULTS Of 4235 unique records identified, 26 studies met eligibility criteria. Neighborhood walkability and greenness were the most examined built environment characteristics among the included studies. Walkability was found to be associated with various cancer survivorship experience, including increased levels of physical activity, lowered body mass index, and improved quality of life. The association between greenness and cancer survivorship outcomes were inconsistent across the included studies. Additionally, studies have reported the relationship between light and noise pollution and sleep among cancer survivors. Regarding blue space, in one qualitative study, breast cancer survivors brought up the healing properties of water. CONCLUSION Our scoping review demonstrated a breadth of current cancer survivorship research in the field of neighborhood walkability and greenness, but fewer studies detailing other aspects of the built environment as defined by this review, such as light pollution, noise pollution, and blue space. We identified future research directions for those interested in this interdisciplinary field, which can provide insights for urban planners and policy makers on how to best leverage the built environment to promote the health and wellbeing of cancer survivors.
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Affiliation(s)
- Naiyu Chen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Carol Mita
- Countway Library, Harvard Medical School, Boston, MA, USA
| | | | - Alaina H Shreves
- Nuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cindy R Hu
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Li Yi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, USA
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Mantilla Valdivieso EF, Ross EM, Raza A, Nguyen L, Hayes BJ, Jonsson NN, James P, Tabor AE. Expression network analysis of bovine skin infested with Rhipicephalus australis identifies pro-inflammatory genes contributing to tick susceptibility. Sci Rep 2024; 14:4419. [PMID: 38388834 PMCID: PMC10884027 DOI: 10.1038/s41598-024-54577-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/14/2024] [Indexed: 02/24/2024] Open
Abstract
The skin is the primary feeding site of ticks that infest livestock animals such as cattle. The highly specialised functions of skin at the molecular level may be a factor contributing to variation in susceptibility to tick infestation; but these remain to be well defined. The aim of this study was to investigate the bovine skin transcriptomic profiles of tick-naïve and tick-infested cattle and to uncover the gene expression networks that influence contrasting phenotypes of host resistance to ticks. RNA-Seq data was obtained from skin of Brangus cattle with high (n = 5) and low (n = 6) host resistance at 0 and 12 weeks following artificial tick challenge with Rhipicephalus australis larvae. No differentially expressed genes were detected pre-infestation between high and low resistance groups, but at 12-weeks there were 229 differentially expressed genes (DEGs; FDR < 0.05), of which 212 were the target of at least 1866 transcription factors (TFs) expressed in skin. Regulatory impact factor (RIF) analysis identified 158 significant TFs (P < 0.05) of which GRHL3, and DTX1 were also DEGs in the experiment. Gene term enrichment showed the significant TFs and DEGs were enriched in processes related to immune response and biological pathways related to host response to infectious diseases. Interferon Type 1-stimulated genes, including MX2, ISG15, MX1, OAS2 were upregulated in low host resistance steers after repeated tick challenge, suggesting dysregulated wound healing and chronic inflammatory skin processes contributing to host susceptibility to ticks. The present study provides an assessment of the bovine skin transcriptome before and after repeated tick challenge and shows that the up-regulation of pro-inflammatory genes is a prominent feature in the skin of tick-susceptible animals. In addition, the identification of transcription factors with high regulatory impact provides insights into the potentially meaningful gene-gene interactions involved in the variation of phenotypes of bovine host resistance to ticks.
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Affiliation(s)
- Emily F Mantilla Valdivieso
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Elizabeth M Ross
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia.
| | - Ali Raza
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Loan Nguyen
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Ben J Hayes
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Nicholas N Jonsson
- Institute of Biodiversity One Health and Veterinary Medicine, University of Glasgow, Glasgow, G61 1QH, UK.
| | - Peter James
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Ala E Tabor
- Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, 4072, Australia.
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia.
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Qi M, Xu C, Zhang W, Demuzere M, Hystad P, Lu T, James P, Bechtel B, Hankey S. Mapping urban form into local climate zones for the continental US from 1986-2020. Sci Data 2024; 11:195. [PMID: 38351040 PMCID: PMC10864375 DOI: 10.1038/s41597-024-03042-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 02/03/2024] [Indexed: 02/16/2024] Open
Abstract
Urbanization has altered land surface properties driving changes in micro-climates. Urban form influences people's activities, environmental exposures, and health. Developing detailed and unified longitudinal measures of urban form is essential to quantify these relationships. Local Climate Zones [LCZ] are a culturally-neutral urban form classification scheme. To date, longitudinal LCZ maps at large scales (i.e., national, continental, or global) are not available. We developed an approach to map LCZs for the continental US from 1986 to 2020 at 100 m spatial resolution. We developed lightweight contextual random forest models using a hybrid model development pipeline that leveraged crowdsourced and expert labeling and cloud-enabled modeling - an approach that could be generalized to other countries and continents. Our model achieved good performance: 0.76 overall accuracy (0.55-0.96 class-wise F1 scores). To our knowledge, this is the first high-resolution, longitudinal LCZ map for the continental US. Our work may be useful for a variety of fields including earth system science, urban planning, and public health.
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Affiliation(s)
- Meng Qi
- School of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA
| | - Chunxue Xu
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, 97331, USA
| | - Wenwen Zhang
- Edward J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, New Jersey, 08901, USA
| | - Matthias Demuzere
- Urban Climatology Group, Department of Geography, Ruhr-University Bochum, Bochum, 44801, Germany
| | - Perry Hystad
- College of Health, Oregon State University, Corvallis, OR, 97331, USA
| | - Tianjun Lu
- Department of Epidemiology and Environmental Health, University of Kentucky, Lexington, KY, 40536, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
| | - Benjamin Bechtel
- Urban Climatology Group, Department of Geography, Ruhr-University Bochum, Bochum, 44801, Germany
| | - Steve Hankey
- School of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
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Sweeney MR, Nichols HB, Jones RR, Olshan AF, Keil AP, Engel LS, James P, Sandler DP, White AJ, Jackson CL. Exposure to indoor light at night in relation to multiple dimensions of sleep health: findings from the Sister Study. Sleep 2024; 47:zsad100. [PMID: 37018759 PMCID: PMC10851850 DOI: 10.1093/sleep/zsad100] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 02/23/2023] [Indexed: 04/07/2023] Open
Abstract
STUDY OBJECTIVE To examine the association between light at night (LAN) and multiple sleep health dimensions. METHODS Among 47 765 Sister Study participants, indoor LAN (TV on in the room, light(s) on in room, light from outside the room, nightlight, no light) and sleep dimensions were self-reported at baseline (2003-2009). We used Poisson regression with robust variance to estimate adjusted prevalence ratios (PR) and 95% confidence intervals (CI) for the cross-sectional associations between LAN and short sleep duration (<7 hours/night), insomnia symptoms (difficulty falling or staying asleep), frequent napping (≥3 naps/week), inconsistent sleep/wake time (differed day-to-day and week-to-week), sleep debt (≥2 hours between longest and shortest duration), recent sleep medication use, and a cumulative poor sleep score (≥3 poor sleep dimensions). Population-attributable risks (PARs) were determined for any light exposure vs. none by race/ethnicity. RESULTS Compared to sleeping with no light in the bedroom, sleeping with a TV on was associated with a higher prevalence of most dimensions of poor sleep (e.g. short sleep duration: PR = 1.38, 95% CI: 1.32 to 1.45; inconsistent sleep/wake time: PR = 1.55, 95% CI: 1.44 to 1.66; sleep debt: PR = 1.36, 95% CI: 1.29 to 1.44; poor sleep score: PR = 1.58, 95% CI: 1.48-1.68). PARs tended to be higher for non-Hispanic black women compared to non-Hispanic white women. CONCLUSIONS Sleeping with a TV on was associated with poor sleep health among US women, and non-Hispanic black women may be disproportionately burdened.
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Affiliation(s)
- Marina R Sweeney
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Hazel B Nichols
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Alexander P Keil
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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11
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Alagappan S, Hoffman L, Mikkelsen D, Mantilla SO, James P, Yarger O, Cozzolino D. Near-infrared spectroscopy (NIRS) for monitoring the nutritional composition of black soldier fly larvae (BSFL) and frass. J Sci Food Agric 2024; 104:1487-1496. [PMID: 37824746 DOI: 10.1002/jsfa.13044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/22/2023] [Accepted: 10/13/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND The demand for protein obtained from animal sources is growing rapidly, as is the necessity for sustainable animal feeds. The use of black soldier fly larvae (BSFL) reared on organic side streams as sustainable animal feed has been receiving attention lately. This study assessed the ability of near-infrared spectroscopy (NIRS) combined with chemometrics to evaluate the nutritional profile of BSFL instars (fifth and sixth) and frass obtained from two different diets, namely soy waste and customised bread-vegetable diet. Partial least squares (PLS) regression with leave one out cross-validation was used to develop models between the NIR spectral data and the reference analytical methods. RESULTS Calibration models with good [coefficient of determination in calibration (Rcal 2 ): 0.90; ratio of performance to deviation (RPD) value: 3.6] and moderate (Rcal 2 : 0.76; RPD value: 2.1) prediction accuracy was observed for acid detergent fibre (ADF) and total carbon (TC), respectively. However, calibration models with moderate accuracy were observed for the prediction of crude protein (CP) (Rcal 2 : 0.63; RPD value: 1.4), crude fat (CF) (Rcal 2 : 0.70; RPD value: 1.6), neutral detergent fibre (NDF) (Rcal 2 : 0.60; RPD value: 1.6), starch (Rcal 2 : 0.52; RPD value: 1.4), and sugars (Rcal 2 : 0.52; RPD value: 1.4) owing to the narrow or uneven distribution of data over the range evaluated. CONCLUSION The near-infrared (NIR) calibration models showed a good to moderate prediction accuracy for the prediction of ADF and TC content for two different BSFL instars and frass reared on two different diets. However, calibration models developed for predicting CP, CF, starch, sugars and NDF resulted in models with limited prediction accuracy. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Shanmugam Alagappan
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
- Fight Food Waste Cooperative Research Centre, Wine Innovation Central Building Level 1, Urrbrae, SA, Australia
| | - Louwrens Hoffman
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
- Fight Food Waste Cooperative Research Centre, Wine Innovation Central Building Level 1, Urrbrae, SA, Australia
| | - Deirdre Mikkelsen
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
- School of Agriculture and Food Sciences, Faculty of Science, University of Queensland, Brisbane, QLD, Australia
| | - Sandra Olarte Mantilla
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
| | - Peter James
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
| | - Olympia Yarger
- Fight Food Waste Cooperative Research Centre, Wine Innovation Central Building Level 1, Urrbrae, SA, Australia
- Goterra, Hume, ACT, Australia
| | - Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD, Australia
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12
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Browning MHEM, Locke DH, Konijnendijk C, Labib SM, Rigolon A, Yeager R, Bardhan M, Berland A, Dadvand P, Helbich M, Li F, Li H, James P, Klompmaker J, Reuben A, Roman LA, Tsai WL, Patwary M, O'Neil-Dunne J, Ossola A, Wang R, Yang B, Yi L, Zhang J, Nieuwenhuijsen M. Measuring the 3-30-300 rule to help cities meet nature access thresholds. Sci Total Environ 2024; 907:167739. [PMID: 37832672 DOI: 10.1016/j.scitotenv.2023.167739] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/04/2023] [Accepted: 10/09/2023] [Indexed: 10/15/2023]
Abstract
The 3-30-300 rule offers benchmarks for cities to promote equitable nature access. It dictates that individuals should see three trees from their dwelling, have 30 % tree canopy in their neighborhood, and live within 300 m of a high-quality green space. Implementing this demands thorough measurement, monitoring, and evaluation methods, yet little guidance is currently available to pursue these actions. To overcome this gap, we employed an expert-based consensus approach to review the available ways to measure 3-30-300 as well as each measure's strengths and weaknesses. We described seven relevant data and processes: vegetation indices, street level analyses, tree inventories, questionnaires, window view analyses, land cover maps, and green space maps. Based on the reviewed strengths and weaknesses of each measure, we presented a suitability matrix to link recommended measures with each component of the rule. These recommendations included surveys and window-view analyses for the '3 component', high-resolution land cover maps for the '30 component', and green space maps with network analyses for the '300 component'. These methods, responsive to local situations and resources, not only implement the 3-30-300 rule but foster broader dialogue on local desires and requirements. Consequently, these techniques can guide strategic investments in urban greening for health, equity, biodiversity, and climate adaptation.
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Affiliation(s)
- M H E M Browning
- Virtual Reality and Nature Lab, Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29631, USA.
| | - D H Locke
- USDA Forest Service, Northern Research Station, Baltimore Field Station, Suite 350, 5523 Research Park Drive, Baltimore, MD 21228, USA.
| | - C Konijnendijk
- Nature Based Solutions Institute - Dutch Office, Zeist, the Netherlands
| | - S M Labib
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - A Rigolon
- Department of City and Metropolitan Planning, The University of Utah, Salt Lake City, UT 84112, USA
| | - R Yeager
- Division of Environmental Medicine, School of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - M Bardhan
- Virtual Reality and Nature Lab, Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29631, USA; Environment and Sustainability Research Initiative, Khulna 9208, Bangladesh
| | - A Berland
- Department of Geography and Meteorology, Ball State University, Muncie, IN 47306, USA
| | - P Dadvand
- ISGlobal, Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain
| | - M Helbich
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - F Li
- Virtual Reality and Nature Lab, Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC 29631, USA
| | - H Li
- College of Physical Education, Southwest University, Chongqing 400715, China
| | - P James
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - J Klompmaker
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A Reuben
- Department of Psychology & Neuroscience, Duke University, Durham, NC, 27705, USA
| | - L A Roman
- USDA Forest Service, Pacific Southwest Research Station & Northern Research Station, 4995 Canyon Crest Dr., Riverside, CA 92507, USA
| | - W-L Tsai
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA
| | - M Patwary
- Environment and Sustainability Research Initiative, Khulna 9208, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna 9208, Bangladesh
| | - J O'Neil-Dunne
- Spatial Analysis Lab, Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, USA
| | - A Ossola
- Department of Plant Sciences, University of California Davis, Davis, CA, 95616, USA; School of Ecosystem and Forest Science, University of Melbourne, VIC, Australia
| | - R Wang
- Centre for Public Health, Queen's University Belfast, Northern Ireland, UK
| | - B Yang
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China
| | - L Yi
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - J Zhang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
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13
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Rafiq KRB, Joseph A, Yokochi N, James P, von Jouanne A, Yokochi A. Modeling Development of a Diamagnetically Stabilized Magnetically Levitated Gravimeter. Sensors (Basel) 2024; 24:350. [PMID: 38257443 DOI: 10.3390/s24020350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/25/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
The aim of this work is to create a new type of gravimeter that can function effectively in the challenging conditions of space, specifically on the surfaces of planets and moons. The proposed device, called a diamagnetically stabilized magnetically levitated gravimeter (DSMLG), uses magnetic forces to balance a test mass against the force of gravity, allowing for accurate measurements. A diamagnetically stabilized levitation structure comprises a floating magnet, diamagnetic material, and a lifting magnet. The floating magnet levitates between two diamagnetic plates without the need for external energy input due to the interaction between the magnetic forces of the floating magnet and the stabilizing force of the diamagnetic material. This structure allows for stable levitation of the floating magnet without requiring additional energy. The goal is to design a gravimeter that is lightweight, requires minimal power, can withstand extreme temperatures and shocks, and has a low data rate. The authors envision this gravimeter being used on various robotic spacecraft, such as landers and rovers, to study the interiors of rocky and icy celestial bodies. This paper reports on the results of a finite element model analysis of the DSMLG and the strength of the resulting diamagnetic spring. The findings contribute to the understanding of the levitation characteristics of diamagnetically stabilized structures and provide valuable insights for their practical applications, including in the development of the proposed DSMLG.
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Affiliation(s)
| | - Abigail Joseph
- Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA
| | - Naiya Yokochi
- Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA
| | - Peter James
- Department of Geosciences, Baylor University, Waco, TX 76706, USA
| | - Annette von Jouanne
- Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76706, USA
| | - Alex Yokochi
- Department of Mechanical Engineering, Baylor University, Waco, TX 76798, USA
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14
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Madhav M, James P. Developing Wolbachia-Infected Cell Lines from Insects. Methods Mol Biol 2024; 2739:137-145. [PMID: 38006549 DOI: 10.1007/978-1-0716-3553-7_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
Wolbachia, an intracellular bacterium of arthropods, is an ideal candidate for use in the biological control of insect pests. The inability of Wolbachia to grow in the extracellular environment requires maintenance in live insects or insect cell cultures. Growing and adapting high-density Wolbachia in the targeted host cells improves the possibility of cross-species transinfection. Here, we describe a method for the establishment of a primary cell culture from insect embryos and its transinfection with Wolbachia.
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Affiliation(s)
- Mukund Madhav
- Liverpool School of Tropical Medicine, Liverpool, UK
- Health & Biosecurity, Commonwealth Scientific and Industrial Research Organisation, Geelong, Australia
| | - Peter James
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, QLD, Australia.
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15
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Browning MHEM, Hanley JR, Bailey CR, Beatley T, Gailey S, Hipp JA, Larson LR, James P, Jennings V, Jimenez MP, Kahn PH, Li D, Reuben A, Rigolon A, Sachs NA, Pearson AL, Minson CT. Quantifying Nature: Introducing NatureScore TM and NatureDose TM as Health Analysis and Promotion Tools. Am J Health Promot 2024; 38:126-134. [PMID: 38126317 PMCID: PMC10876217 DOI: 10.1177/08901171231210806b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Matthew H. E. M. Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, SC, USA
- NatureQuantTM, Inc., Eugene, OR, USA
| | | | | | - Timothy Beatley
- School of Architecture, University of Virginia, Charlottesville, VA, USA
| | - Samantha Gailey
- Department of Forestry, Michigan State University, East Lansing, MI, USA
- Space, Health and Community Lab, Charles Stewart Mott Department of Public Health, Michigan State University, East Lansing, MI, USA
| | - J. Aaron Hipp
- Department of Parks, Recreation & Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Lincoln R. Larson
- Department of Parks, Recreation & Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Viniece Jennings
- School of the Environment, Florida Agricultural and Mechanical University, Tallahassee, FL, USA
| | | | - Peter H. Kahn
- Department of Psychology & School of Environmental and Forest Sciences, University of Washington, Seattle, WA, USA
| | - Dongying Li
- Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA
| | - Aaron Reuben
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Alessandro Rigolon
- Department of City & Metropolitan Planning, The University of Utah, Salt Lake City, UT, USA
| | - Naomi A. Sachs
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, USA
| | - Amber L. Pearson
- Charles Stewart Mott Department of Public Health, Michigan State University, East Lansing, MI, USA
| | - Christopher T. Minson
- NatureQuantTM, Inc., Eugene, OR, USA
- Department of Human Physiology, University of Oregon, Eugene, OR, USA
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16
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Fiffer MR, Li H, Iyer HS, Nethery RC, Sun Q, James P, Yanosky JD, Kaufman JD, Hart JE, Laden F. Associations between air pollution, residential greenness, and glycated hemoglobin (HbA1c) in three prospective cohorts of U.S. adults. Environ Res 2023; 239:117371. [PMID: 37839528 PMCID: PMC10873087 DOI: 10.1016/j.envres.2023.117371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND While studies suggest impacts of individual environmental exposures on type 2 diabetes (T2D) risk, mechanisms remain poorly characterized. Glycated hemoglobin (HbA1c) is a biomarker of glycemia and diagnostic criterion for prediabetes and T2D. We explored associations between multiple environmental exposures and HbA1c in non-diabetic adults. METHODS HbA1c was assessed once in 12,315 women and men in three U.S.-based prospective cohorts: the Nurses' Health Study (NHS), Nurses' Health Study II (NHSII), and Health Professionals Follow-up Study (HPFS). Residential greenness within 270 m and 1,230 m (normalized difference vegetation index, NDVI) was obtained from Landsat. Fine particulate matter (PM2.5) and nitrogen dioxide (NO2) were estimated from nationwide spatiotemporal models. Three-month and one-year averages prior to blood draw were assigned to participants' addresses. We assessed associations between single exposure, multi-exposure, and component scores from Principal Components Analysis (PCA) and HbA1c. Fully-adjusted models built on basic models of age and year at blood draw, BMI, alcohol use, and neighborhood socioeconomic status (nSES) to include diet quality, race, family history, smoking status, postmenopausal hormone use, population density, and season. We assessed interactions between environmental exposures, and effect modification by population density, nSES, and sex. RESULTS Based on HbA1c, 19% of participants had prediabetes. In single exposure fully-adjusted models, an IQR (0.14) higher 1-year 1,230 m NDVI was associated with a 0.27% (95% CI: 0.05%, 0.49%) lower HbA1c. In basic component score models, a SD increase in Component 1 (high loadings for 1-year NDVI) was associated with a 0.19% (95% CI: 0.04%, 0.34%) lower HbA1c. CI's crossed the null in multi-exposure and fully-adjusted component score models. There was little evidence of associations between air pollution and HbA1c, and no evidence of effect modification. CONCLUSIONS Among non-diabetic adults, environmental exposures were not consistently associated with HbA1c. More work is needed to elucidate biological pathways between the environment and prediabetes.
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Affiliation(s)
- Melissa R Fiffer
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, USA; University of Illinois Chicago, Children's Environmental Health Initiative, Chicago, IL, USA.
| | - Huichu Li
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, USA
| | - Hari S Iyer
- Harvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA; Dana-Farber Cancer Institute, Division of Population Sciences, Boston, MA, USA; Rutgers Cancer Institute of New Jersey, Section of Cancer Epidemiology and Health Outcomes, New Brunswick, NJ, USA
| | - Rachel C Nethery
- Harvard T.H. Chan School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Qi Sun
- Harvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Department of Nutrition, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter James
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, USA; Harvard Medical School and Harvard Pilgrim Health Care Institute, Department of Population Medicine, Boston, MA, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, USA
| | - Joel D Kaufman
- Department of Epidemiology, University of Washington, Seattle, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
| | - Jaime E Hart
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Department of Epidemiology, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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17
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Roscoe C, Grady ST, Hart JE, Iyer HS, Manson JE, Rexrode KM, Rimm EB, Laden F, James P. Association between Noise and Cardiovascular Disease in a Nationwide U.S. Prospective Cohort Study of Women Followed from 1988 to 2018. Environ Health Perspect 2023; 131:127005. [PMID: 38048103 PMCID: PMC10695265 DOI: 10.1289/ehp12906] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 10/30/2023] [Accepted: 11/08/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Long-term noise exposure is associated with cardiovascular disease (CVD), including acute cardiovascular events such as myocardial infarction and stroke. However, longitudinal cohort studies in the U.S. of long-term noise and CVD are almost exclusively from Europe and few modeled nighttime noise, when an individual is likely at home or asleep, separately from daytime noise. We aimed to examine the prospective association of outdoor long-term nighttime and daytime noise from anthropogenic sources with incident CVD using a U.S.-based, nationwide cohort of women. METHODS We linked L 50 nighttime and L 50 daytime anthropogenic modeled noise estimates from a U.S. National Parks Service model (L 50 : sound pressure levels exceeded 50 percent of the time) to geocoded residential addresses of 114,116 participants in the Nurses' Health Study. We used time-varying Cox proportional hazards models to estimate risk of incident CVD, coronary heart disease (CHD), and stroke associated with long-term average (14-y measurement period) noise exposure, adjusted for potential individual- and area-level confounders and CVD risk factors (1988-2018; biennial residential address updates; monthly CVD updates). We assessed effect modification by population density, region, air pollution, vegetation cover, and neighborhood socioeconomic status, and explored mediation by self-reported average nightly sleep duration. RESULTS Over 2,548,927 person-years, there were 10,331 incident CVD events. In fully adjusted models, the hazard ratios for each interquartile range increase in L 50 nighttime noise (3.67 dBA) and L 50 daytime noise (4.35 dBA), respectively, were 1.04 (95% CI: 1.02, 1.06) and 1.04 (95% CI: 1.02, 1.07). Associations for total energy-equivalent noise level (L eq ) measures were stronger than for the anthropogenic statistical L 50 noise measures. Similar associations were observed for CHD and stroke. Interaction analyses suggested that associations of L 50 nighttime and L 50 daytime noise with CVD did not differ by prespecified effect modifiers. We found no evidence that inadequate sleep (< 5 h/night) mediated associations of L 50 nighttime noise and CVD. DISCUSSION Outdoor L 50 anthropogenic nighttime and daytime noise at the residential address was associated with a small increase in CVD risk in a cohort of adult female nurses. https://doi.org/10.1289/EHP12906.
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Affiliation(s)
- Charlotte Roscoe
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Population Sciences, Dana Faber Cancer Institute, Boston, Massachusetts, USA
| | - Stephanie T. Grady
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Hari S. Iyer
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, USA
| | - JoAnn E. Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric B. Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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18
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Kent S, Adatia A, James P, Bains K, Henry A, Blore C, Dawoud B, Kumar D, Jefferies C, Kyzas P. Risk factors associated with short-term complications in mandibular fractures: the MANTRA study-a Maxillofacial Trainee Research Collaborative (MTReC). Oral Maxillofac Surg 2023; 27:609-616. [PMID: 35788932 PMCID: PMC10684408 DOI: 10.1007/s10006-022-01096-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 06/19/2022] [Indexed: 10/17/2022]
Abstract
INTRODUCTION Complications following mandibular fractures occur in 9-23% of patients. Identifying those at risk is key to prevention. Previous studies highlighted smoking, age and time from injury to presentation as risk factors but rarely recorded other possible confounders. In this paper, we use a collaborative snapshot audit to document novel risk factors and confirm established risks for complications following the treatment of mandibular fractures. METHODS The audit was carried out by 122 OMFS trainees across the UK and Ireland (49 centres) over 6 months, coordinated by the Maxillofacial Surgery Trainees Research Collaborative. Variables recorded included basic demography, medical and social history, injury mechanism and type, management and 30-day outcome. RESULTS Nine hundred and forty-seven (947) patients with fractured mandibles were recorded. Surgical management was carried out in 76.3%. Complications at 30 days occurred 65 (9%) of those who were managed surgically. Risk factors for complications included male sex, increasing age, any medical history, increasing number of cigarettes smoked per week, increasing alcohol use per week, worse oral hygiene and increased time from injury to presentation. DISCUSSION We have used a large prospective snapshot audit to confirm established risk factors and identify novel risk factors. We demonstrate that time from injury to presentation is confounded by other indicators of poor health behaviour. These results are important in designing trial protocols for management of mandibular fractures and in targeting health interventions to patients at highest risk of complications.
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Affiliation(s)
- S Kent
- University Hospital of Wales, Cardiff, UK.
| | - A Adatia
- Aintree University Hospital, Liverpool, UK
| | - P James
- Aintree University Hospital, Liverpool, UK
| | - K Bains
- Aintree University Hospital, Liverpool, UK
| | - A Henry
- Swansea Bay University Health Board, Swansea, UK
| | - C Blore
- University Hospitals of North Midlands NHS Trust, Stafford, UK
| | - B Dawoud
- North Manchester General Hospital, Manchester , UK
| | - D Kumar
- Liverpool Medical School, Liverpool, UK
| | - C Jefferies
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - P Kyzas
- Royal Blackburn Teaching Hospital, East Lancashire Hospitals NHS Trust, Blackburn, UK
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19
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Trudel-Fitzgerald C, Lee LO, Guimond AJ, Chen R, James P, Koga HK, Lee HH, Okuzono SS, Grodstein F, Rich-Edwards J, Kubzansky LD. A long and resilient life: the role of coping strategies and variability in their use in lifespan among women. Anxiety Stress Coping 2023:1-14. [PMID: 38031408 DOI: 10.1080/10615806.2023.2288333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVES Associations of stress-related coping strategies with lifespan among the general population are understudied. Coping strategies are characterized as being either adaptive or maladaptive, but it is unknown the degree to which variability in tailoring their implementation to different contexts may influence lifespan. METHOD Women (N = 54,353; Mage = 47) completed a validated coping inventory and reported covariate information in 2001. Eight individual coping strategies (e.g., Acceptance, Denial) were considered separately. Using a standard deviation-based algorithm, participants were also classified as having lower, moderate, or greater variability in their use of these strategies. Deaths were ascertained until 2019. Accelerated failure time models estimated percent changes and 95% confidence intervals (CI) in predicted lifespan associated with coping predictors. RESULTS In multivariable models, most adaptive and maladaptive strategies were associated with longer and shorter lifespans, respectively (e.g., per 1-SD increase: Active Coping = 4.09%, 95%CI = 1.83%, 6.41%; Behavioral Disengagement = -6.56%, 95%CI = -8.37%, -4.72%). Moderate and greater (versus lower) variability levels were similarly and significantly related to 8-10% longer lifespans. Associations were similar across age, racial/ethnic, residential income, and marital status subgroups. CONCLUSIONS Findings confirm the adaptive and maladaptive nature of specific coping strategies, and further suggest benefits from both moderate and greater variability in their use for lifespan among women.
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Affiliation(s)
- Claudia Trudel-Fitzgerald
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
- Centre de Recherche, Institut Universitaire en Santé Mentale de Montréal, Montréal, Canada
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lewina O Lee
- National Center for Posttraumatic Stress Disorder, Veterans Affairs Boston Healthcare System, Boston, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, USA
| | - Anne-Josée Guimond
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ruijia Chen
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hayami K Koga
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Harold H Lee
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biobehavioral Health, Pennsylvania State University, State College, PA, USA
| | - Sakurako S Okuzono
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francine Grodstein
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Rush Alzheimer's Disease Center, Rush Medical College, Chicago, IL, USA
| | - Janet Rich-Edwards
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laura D Kubzansky
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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20
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Wilt GE, Roscoe CJ, Hu CR, Mehta UV, Coull BA, Hart JE, Gortmaker S, Laden F, James P. Minute level smartphone derived exposure to greenness and consumer wearable derived physical activity in a cohort of US women. Environ Res 2023; 237:116864. [PMID: 37648192 DOI: 10.1016/j.envres.2023.116864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Inconsistent results have been found in the literature on associations of greenness, or vegetation quantity, and physical activity. However, few studies have assessed associations between mobility-based greenness and physical activity from mobile health data from smartphone and wearable devices with fine spatial and temporal resolution. METHODS We assessed mobility-based greenness exposure and wearable accelerometer data from participants in the US-based prospective Nurses' Health Study 3 cohort Mobile Health (mHealth) Substudy (2018-2020). We recruited 500 female participants with instructions to wear devices over four 7-day sampling periods equally spaced throughout the year. After restriction criteria there were 337 participants (mean age 36 years) with n = 639,364 unique observations. Normalized Difference Vegetation Index (NDVI) data were derived from 30 m x 30 m Landsat-8 imagery and spatially joined to GPS points recorded every 10 min. Fitbit proprietary algorithms provided physical activity summarized as mean number of steps per minute, which we averaged during the 10-min period following a GPS-based greenness exposure assessment. We utilized Generalized Additive Mixed Models to examine associations (every 10 min) between greenness and physical activity adjusting for neighborhood and individual socioeconomic status, Census region, season, neighborhood walkability, daily mean temperature and precipitation. We assessed effect modification through stratification and interaction models and conducted sensitivity analyses. RESULTS Mean 10-min step count averaged 7.0 steps (SD 14.9) and greenness (NDVI) averaged 0.3 (SD 0.2). Contrary to our hypotheses, higher greenness exposure was associated non-linearly with lower mean steps per minute after adjusting for confounders. We observed statistically significant effect modification by Census region and season. DISCUSSION We utilized objective physical activity data at fine temporal and spatial scales to present novel estimates of the association between mobility-based greenness and step count. We found higher levels of greenness were inversely associated with steps per minute.
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Affiliation(s)
- Grete E Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - Charlotte J Roscoe
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, United States
| | - Cindy R Hu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Unnati V Mehta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Jaime E Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Steven Gortmaker
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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21
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Wilt GE, Roscoe C, Hu CR, Iyer HS, Mehta UV, Coull BA, Hart JE, Gortmaker S, Laden F, James P. Examining Exposure Differences between Residential and Smartphone Mobility-Based Greenness in a Cohort of the Nurses' Health Study. Environ Health Perspect 2023; 131:117701. [PMID: 37962438 PMCID: PMC10644896 DOI: 10.1289/ehp13133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 10/10/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023]
Affiliation(s)
- Grete E. Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Charlotte Roscoe
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Cindy R. Hu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Hari S. Iyer
- Division of Population Sciences, Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Unnati V. Mehta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brent A. Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Steven Gortmaker
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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22
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Shanahan KH, James P, Rifas-Shiman SL, Gold DR, Oken E, Aris IM. Neighborhood Conditions and Resources in Mid-Childhood and Dampness and Pests at Home in Adolescence. J Pediatr 2023; 262:113625. [PMID: 37463640 PMCID: PMC10789911 DOI: 10.1016/j.jpeds.2023.113625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 06/05/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVE To examine prospectively associations of neighborhood opportunity with the presence of dampness or pests in the home environment during early adolescence. STUDY DESIGN We geocoded residential addresses from 831 children (mean age 7.9 years, 2007-2011) in the Project Viva cohort. We linked each address with census tract-level Child Opportunity Index scores, which capture neighborhood conditions and resources influencing child heath including educational, health, environmental, and socioeconomic factors. Our primary outcome was presence of dampness or pests in the home in early adolescence (mean age 13.2 years, 2013-2016). Secondary outcomes included current asthma and lung function testing results. Mixed-effects regression models estimated longitudinal associations of Child Opportunity Index scores with outcomes, adjusting for individual and family sociodemographics. RESULTS Children residing in neighborhoods with greater overall opportunity were less likely to live in homes with dampness or pests approximately 5 years later (aOR 0.85 per 20-unit increase in Child Opportunity Index percentile rank, 95% CI 0.73-0.998). We observed no significant associations in adjusted models of overall neighborhood opportunity with current asthma or lung function. Lower school poverty or single-parent households and greater access to healthy food or economic resource index were associated with lower odds of a home environment with dampness or pests. CONCLUSIONS More favorable neighborhood conditions in mid-childhood were associated with lower likelihood of living in a home with dampness or pests in the early adolescence.
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Affiliation(s)
- Kristen H Shanahan
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Division of Emergency Medicine, Boston Children's Hospital, Boston, MA; Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, MA.
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA
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23
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Chowdhury-Paulino IM, Hart JE, James P, Iyer HS, Wilt GE, Booker BD, Nethery RC, Laden F, Mucci LA, Markt SC. Association between Outdoor Light at Night and Prostate Cancer in the Health Professionals Follow-up Study. Cancer Epidemiol Biomarkers Prev 2023; 32:1444-1450. [PMID: 37462694 PMCID: PMC10592318 DOI: 10.1158/1055-9965.epi-23-0208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/07/2023] [Accepted: 07/14/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Circadian disruption is a potential risk factor for advanced prostate cancer, and light at night (LAN) exposure may disrupt circadian rhythms. We evaluated whether outdoor LAN increases the risk of prostate cancer. METHODS We prospectively followed 49,148 participants in the Health Professionals Follow-up Study from 1986 through 2016. We estimated baseline and cumulative time-varying outdoor LAN with ∼1 km2 resolution using data from the US Defense Meteorological Satellite Program's Operational Linescan System, which was assigned to participants' geocoded addresses. Participants reside in all 50 U.S. states and reported a work or home address. We used multivariable Cox models to estimate HRs and 95% confidence intervals (CI) for the association between outdoor LAN and risk of overall (7,175 cases) and fatal (915 cases) prostate cancer adjusting for individual and contextual factors. RESULTS There was no association between the interquartile range increase in cumulative LAN and total (HR, 1.02; 95% CI, 0.98-1.06) or fatal (HR, 1.05; 95% CI, 0.96-1.15) prostate cancer in adjusted models. However, there was a positive association between baseline LAN and total prostate cancer among non-movers (HR, 1.06; 95% CI, 1.00-1.14) including among highly screened participants (HR, 1.11; 95% CI, 1.01-1.23). CONCLUSIONS There was a suggestive positive association between baseline outdoor LAN and total prostate cancer. Additional studies with different measures of outdoor LAN and in more diverse populations are necessary. IMPACT To our knowledge, this is the first longitudinal cohort study exploring the relationship between outdoor LAN and prostate cancer.
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Affiliation(s)
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Hari S. Iyer
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ
| | - Grete E. Wilt
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Benjamin D. Booker
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rachel C. Nethery
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francine Laden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sarah C. Markt
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, USA
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24
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Joseph CLM, Singh AM, Breton CV, Hartert T, Cacho F, Karagas MR, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, Gold DR, James P, Oken E. Neighborhood Opportunity and Vulnerability and Incident Asthma Among Children. JAMA Pediatr 2023; 177:1055-1064. [PMID: 37639269 PMCID: PMC10463174 DOI: 10.1001/jamapediatrics.2023.3133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/29/2023] [Indexed: 08/29/2023]
Abstract
Background The extent to which physical and social attributes of neighborhoods play a role in childhood asthma remains understudied. Objective To examine associations of neighborhood-level opportunity and social vulnerability measures with childhood asthma incidence. Design, Setting, and Participants This cohort study used data from children in 46 cohorts participating in the Environmental Influences on Child Health Outcomes (ECHO) Program between January 1, 1995, and August 31, 2022. Participant inclusion required at least 1 geocoded residential address from birth and parent or caregiver report of a physician's diagnosis of asthma. Participants were followed up to the date of asthma diagnosis, date of last visit or loss to follow-up, or age 20 years. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) at birth, infancy, or early childhood, grouped into very low (<20th percentile), low (20th to <40th percentile), moderate (40th to <60th percentile), high (60th to <80th percentile), or very high (≥80th percentile) COI or SVI. Main Outcomes and Measures The main outcome was parent or caregiver report of a physician's diagnosis of childhood asthma (yes or no). Poisson regression models estimated asthma incidence rate ratios (IRRs) associated with COI and SVI scores at each life stage. Results The study included 10 516 children (median age at follow-up, 9.1 years [IQR, 7.0-11.6 years]; 52.2% male), of whom 20.6% lived in neighborhoods with very high COI and very low SVI. The overall asthma incidence rate was 23.3 cases per 1000 child-years (median age at asthma diagnosis, 6.6 years [IQR, 4.1-9.9 years]). High and very high (vs very low) COI at birth, infancy, or early childhood were associated with lower subsequent asthma incidence independent of sociodemographic characteristics, parental asthma history, and parity. For example, compared with very low COI, the adjusted IRR for asthma was 0.87 (95% CI, 0.75-1.00) for high COI at birth and 0.83 (95% CI, 0.71-0.98) for very high COI at birth. These associations appeared to be attributable to the health and environmental and the social and economic domains of the COI. The SVI during early life was not significantly associated with asthma incidence. For example, compared with a very high SVI, the adjusted IRR for asthma was 0.88 (95% CI, 0.75-1.02) for low SVI at birth and 0.89 (95% CI, 0.76-1.03) for very low SVI at birth. Conclusions In this cohort study, high and very high neighborhood opportunity during early life compared with very low neighborhood opportunity were associated with lower childhood asthma incidence. These findings suggest the need for future studies examining whether investing in health and environmental or social and economic resources in early life would promote health equity in pediatric asthma.
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Affiliation(s)
- Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- University of Puerto Rico (UPR) Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, University of Wisconsin–Madison
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC
| | - Su H. Chu
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Wayne State University, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, Grossman School of Medicine, New York University, New York
| | - Bibiana Restrepo
- Department of Pediatrics, School of Medicine, University of California, Davis, Sacramento
| | - Diane R. Gold
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Lee HH, Okuzono SS, Trudel-Fitzgerald C, James P, Koga HK, Sims M, Grodstein F, Kubzansky LD. Social integration and risk of mortality among African-Americans: the Jackson heart study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1317-1327. [PMID: 37193908 PMCID: PMC10423160 DOI: 10.1007/s00127-023-02485-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 04/26/2023] [Indexed: 05/18/2023]
Abstract
OBJECTIVE Evidence suggests that greater social integration is related to lower mortality rates. However, studies among African-Americans are limited. We examined whether higher social integration was associated with lower mortality in 5306 African-Americans from the Jackson Heart Study, who completed the Berkman-Syme Social Network Index in 2000-2004 and were followed until 2018. METHODS We estimated hazard ratios (HR) of mortality by categories of the Social Network Index (i.e., high social isolation, moderate social isolation [reference group], moderate social integration, high social integration) using Cox proportional hazard models. Covariates included baseline sociodemographics, depressive symptoms, health conditions, and health behaviors. RESULTS Compared with moderate isolation, moderate integration was associated with an 11% lower mortality rate (HR = 0.89, 95% confidence interval [CI] 0.77, 1.03), and high integration was associated with a 25% lower mortality rate (HR = 0.75, 95% CI 0.64, 0.87), controlling for sociodemographics and depressive symptoms; compared with moderate isolation, high isolation was related to a 34% higher mortality rate (HR = 1.34, 95% CI 1.00, 1.79). Further adjustment of potential mediators (health conditions and health behaviors) only slightly attenuated HRs (e.g., HRmoderate integration = 0.90, 95% CI 0.78, 1.05; HRhigh integration = 0.77, 95% CI 0.66, 0.89). CONCLUSION Social integration may be a psychosocial health asset with future work needed to identify biobehavioral processes underlying observed associations with mortality among African-Americans.
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Affiliation(s)
- Harold H Lee
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, 124 Biobehavioral Health Building, University Park, PA, 16802, USA.
| | - Sakurako S Okuzono
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Claudia Trudel-Fitzgerald
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Psychology at Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
- Research Center of Institut Universitaire en Santé Mentale de Montréal, Montreal, QC, Canada
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hayami K Koga
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mario Sims
- Department of Social Medicine, Population and Public Health, School of Medicine, University of California at Riverside, Riverside, CA, USA
| | | | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Klompmaker JO, Laden F, James P, Benjamin Sabath M, Wu X, Dominici F, Zanobetti A, Hart JE. Long-term exposure to summer specific humidity and cardiovascular disease hospitalizations in the US Medicare population. Environ Int 2023; 179:108182. [PMID: 37683506 PMCID: PMC10545022 DOI: 10.1016/j.envint.2023.108182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/31/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023]
Abstract
INTRODUCTION Most climate-health studies focus on temperature; however, less is known about health effects of exposure to atmospheric moisture. Humid air limits sweat evaporation from the body and can in turn exert strain on the cardiovascular system. We evaluated associations of long-term exposure to summer specific humidity with cardiovascular disease (CVD), coronary heart disease (CHD) and cerebrovascular disease (CBV) hospitalization. METHODS We built an open cohort consisting of ∼63 million fee-for-service Medicare beneficiaries, aged ≥65, living in the contiguous US (2000-2016). We assessed zip code level summer average specific humidity and specific humidity variability, based on daily estimates from the Gridded Surface Meteorological dataset (∼4km spatial resolution). To estimate associations of summer specific humidity with first CVD, CHD, and CBV hospitalization, we used Cox-equivalent Poisson models adjusted for individual and area-level socioeconomic status indicators, temperature, and winter specific humidity. RESULTS Higher summer average specific humidity was associated with an increased risk of CVD, CHD, and CBV hospitalization. We found hazard ratios (HRs) of 1.07 (95%CI: 1.07, 1.08) for CVD hospitalization, 1.08 (95%CI: 1.08, 1.09) for CHD hospitalization, and 1.07 (95%CI: 1.07, 1.08) for CBV hospitalization per IQR increase (4.0 g of water vapor/kg of dry air) in summer average specific humidity. Associations of summer average specific humidity were strongest for beneficiaries eligible for Medicaid and for beneficiaries with an unknown or other race. Higher summer specific humidity variability was also associated with increased risk of CVD, CHD, and CBV hospitalization. Associations were not affected by adjustment for temperature and regions of the US, as well as exclusion of potentially prevalent cases. CONCLUSION Long-term exposure to higher summer average specific humidity and specific humidity variability were positively associated with CVD hospitalization. As global warming could increase humidity levels, our findings are important to assess potential health impacts of climate change.
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Affiliation(s)
- Jochem O Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - M Benjamin Sabath
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xiao Wu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
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Iyer HS, Vaselkiv JB, Stopsack KH, Roscoe C, DeVille NV, Zhang Y, Penney KL, Balk SP, Fiorentino M, Hart JE, James P, De Vivo I, Mucci LA, Laden F, Rebbeck TR. Influence of Neighborhood Social and Natural Environment on Prostate Tumor Histology in a Cohort of Male Health Professionals. Am J Epidemiol 2023; 192:1485-1498. [PMID: 37139568 PMCID: PMC10948945 DOI: 10.1093/aje/kwad112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 02/19/2023] [Accepted: 05/01/2023] [Indexed: 05/05/2023] Open
Abstract
Adverse neighborhood social and natural (green space) environments may contribute to the etiology of prostate cancer (CaP), but mechanisms are unclear. We examined associations between neighborhood environment and prostate intratumoral inflammation in 967 men diagnosed with CaP with available tissue samples from 1986-2009 in the Health Professionals Follow-up Study. Exposures were linked to work or residential addresses in 1988. We estimated indices of neighborhood socioeconomic status (nSES) and segregation (Index of Concentration at the Extremes (ICE)) using US Census tract-level data. Surrounding greenness was estimated using seasonal averaged Normalized Difference Vegetation Index (NDVI) data. Surgical tissue underwent pathological review for acute and chronic inflammation, corpora amylacea, and focal atrophic lesions. Adjusted odds ratios (aORs) for inflammation (ordinal) and focal atrophy (binary) were estimated using logistic regression. No associations were observed for acute or chronic inflammation. Each interquartile-range increase in NDVI within 1,230 m of the participant's work or home address (aOR = 0.74, 95% confidence interval (CI): 0.59, 0.93), in ICE-income (aOR = 0.79, 95% CI: 0.61, 1.04), and in ICE-race/income (aOR = 0.79, 95% CI: 0.63, 0.99) was associated with lower odds of postatrophic hyperplasia. Interquartile-range increases in nSES (aOR = 0.76, 95% CI: 0.57, 1.02) and ICE-race/income (aOR = 0.73, 95% CI: 0.54, 0.99) were associated with lower odds of tumor corpora amylacea. Histopathological inflammatory features of prostate tumors may be influenced by neighborhood.
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Affiliation(s)
- Hari S Iyer
- Correspondence to Dr. Hari Iyer, Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, 120 Albany Street, New Brunswick, NJ 08901 (e-mail: )
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Alagappan S, Dong A, Mikkelsen D, Hoffman LC, Mantilla SMO, James P, Yarger O, Cozzolino D. Near Infrared Spectroscopy for Prediction of Yeast and Mould Counts in Black Soldier Fly Larvae, Feed and Frass: A Proof of Concept. Sensors (Basel) 2023; 23:6946. [PMID: 37571729 PMCID: PMC10422329 DOI: 10.3390/s23156946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023]
Abstract
The use of black soldier fly larvae (BSFL) grown on different organic waste streams as a source of feed ingredient is becoming very popular in several regions across the globe. However, information about the easy-to-use methods to monitor the safety of BSFL is a major step limiting the commercialization of this source of protein. This study investigated the ability of near infrared (NIR) spectroscopy combined with chemometrics to predict yeast and mould counts (YMC) in the feed, larvae, and the residual frass. Partial least squares (PLS) regression was employed to predict the YMC in the feed, frass, and BSFL samples analyzed using NIR spectroscopy. The coefficient of determination in cross validation (R2CV) and the standard error in cross validation (SECV) obtained for the prediction of YMC for feed were (R2cv: 0.98 and SECV: 0.20), frass (R2cv: 0.81 and SECV: 0.90), larvae (R2cv: 0.91 and SECV: 0.27), and the combined set (R2cv: 0.74 and SECV: 0.82). However, the standard error of prediction (SEP) was considered moderate (range from 0.45 to 1.03). This study suggested that NIR spectroscopy could be utilized in commercial BSFL production facilities to monitor YMC in the feed and assist in the selection of suitable processing methods and control systems for either feed or larvae quality control.
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Affiliation(s)
- Shanmugam Alagappan
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
- Fight Food Waste Cooperative Research Centre, Wine Innovation Central Building Level 1, Waite Campus, Urrbrae, SA 5064, Australia
| | - Anran Dong
- School of Agriculture and Food Sustainability, Faculty of Science, University of Queensland, Brisbane, QLD 4072, Australia
| | - Deirdre Mikkelsen
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
- School of Agriculture and Food Sustainability, Faculty of Science, University of Queensland, Brisbane, QLD 4072, Australia
| | - Louwrens C. Hoffman
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
- Fight Food Waste Cooperative Research Centre, Wine Innovation Central Building Level 1, Waite Campus, Urrbrae, SA 5064, Australia
- Department of Animal Sciences, University of Stellenbosch, Private Bag X1, Matieland, Stellenbosch 7602, South Africa
| | - Sandra Milena Olarte Mantilla
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Peter James
- Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - Olympia Yarger
- Goterra, 14 Arnott Street, Hume, Canberra, ACT 2620, Australia
| | - Daniel Cozzolino
- Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
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Kangarloo T, Mote J, Abplanalp S, Gold A, James P, Gard D, Fulford D. The Influence of Greenspace Exposure on Affect in People With and Those Without Schizophrenia: Exploratory Study. JMIR Form Res 2023; 7:e44323. [PMID: 37535418 PMCID: PMC10436123 DOI: 10.2196/44323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/12/2023] [Accepted: 06/05/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Exposure to natural vegetation (ie, "greenspace") is related to beneficial outcomes, including higher positive and lower negative affect, in individuals with and those without mental health concerns. Researchers have yet to examine dynamic associations between greenspace exposure and affect within individuals over time. Smartphone-based ecological momentary assessment (EMA) and passive sensors (eg, GPS, microphone) allow for frequent sampling of data that may reveal potential moment-to-moment mechanisms through which greenspace exposure impacts mental health. OBJECTIVE In this study, we examined associations between greenspace exposure and affect (both self-reported and inferred through speech) in people with and those without schizophrenia spectrum disorder (SSD) at the daily level using smartphones. METHODS Twenty people with SSD and 14 healthy controls reported on their current affect 3 times per day over 7 days using smartphone-based EMA. Affect expressed through speech was labeled from ambient audio data collected via the phone's microphone using Linguistic Inquiry and Word Count (LIWC). Greenspace exposure, defined as the normalized difference vegetation index (NDVI), was quantified based on continuous geo-location data collected from the phone's GPS. RESULTS Overall, people with SSD used significantly more positive affect words (P=.04) and fewer anger words (P=.04) than controls. Groups did not significantly differ in mean EMA-reported positive or negative affect, LIWC total word count, or NDVI exposure. Greater greenspace exposure showed small to moderate associations with lower EMA-reported negative affect across groups. In controls, greenspace exposure on a given day was associated with significantly lower EMA-reported anxiety on that day (b=-0.40, P=.03, 95% CI -0.76 to -0.04) but significantly higher use of negative affect words (b=0.66, P<.001, 95% CI 0.29-1.04). There were no significant associations between greenspace exposure and affect at the daily level among participants with SSD. CONCLUSIONS Our findings speak to the utility of passive and active smartphone assessments for identifying potential mechanisms through which greenspace exposure influences mental health. We identified preliminary evidence that greenspace exposure could be associated with improved mental health by reducing experiences of negative affect. Future directions will focus on furthering our understanding of the relationship between greenspace exposure and affect on individuals with and those without SSD.
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Affiliation(s)
- Tairmae Kangarloo
- Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Jasmine Mote
- Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Samuel Abplanalp
- Desert Pacific Mental Illness Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, United States
| | - Alisa Gold
- Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
| | - Peter James
- Harvard Medical School and Harvard Pilgram Health Care Institute, Boston, MA, United States
- Harvard TH Chan School of Public Health, Boston, MA, United States
| | - David Gard
- Department of Psychology, San Francisco State University, San Francisco, CA, United States
| | - Daniel Fulford
- Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, United States
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, United States
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30
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Iyer HS, Kensler KH, Vaselkiv JB, Stopsack KH, Roscoe C, Bandera EV, Qin B, Jang TL, Lotan TL, James P, Hart JE, Mucci LA, Laden F, Rebbeck TR. Associations between Etiologic or Prognostic Tumor Tissue Markers and Neighborhood Contextual Factors in Male Health Professionals Diagnosed with Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2023; 32:1120-1123. [PMID: 37249585 PMCID: PMC10527012 DOI: 10.1158/1055-9965.epi-23-0217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/25/2023] [Accepted: 05/19/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND There is growing evidence that unfavorable neighborhood contexts may influence prostate cancer progression. Whether these associations may be explained in part by differences in tumor-level somatic alterations remain unclear. METHODS Data on tumor markers (PTEN, p53, ERG, and SPINK1) were obtained from 1,157 participants with prostate cancer in the Health Professionals Follow-up Study. Neighborhood greenness, socioeconomic status, and the income Index of Concentration at Extremes were obtained from satellite and census data and linked to participants' address at diagnosis and at study enrollment. Exposures were scaled to an interquartile range and modeled as tertiles. Bivariate associations between tertiles of neighborhood factors and tumor markers were assessed in covariate adjusted logistic regression models to estimate ORs and 95% confidence intervals. RESULTS There was no association between any of the neighborhood contextual factors and PTEN, p53, ERG, or SPINK1 in bivariate or multivariable adjusted models. Results were generally consistent when modeling exposure using exposure at diagnosis or at study enrollment. CONCLUSIONS In this multilevel study of men with prostate cancer, we found no evidence of associations between neighborhood context and tumor tissue markers. IMPACT Our results provide some of the first empirical data in support of the hypothesis that prostate cancer risk conferred by tumor tissue markers may arise independently of underlying neighborhood context. Prospective studies in more diverse populations are needed to confirm these findings.
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Affiliation(s)
- Hari S. Iyer
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, USA
| | - Kevin H. Kensler
- Division of Epidemiology, Population Health Sciences, Weill Cornell Medicine, New York, USA
| | - Jane B. Vaselkiv
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Konrad H. Stopsack
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Charlotte Roscoe
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, USA
| | - Elisa V. Bandera
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, USA
| | - Bo Qin
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, USA
| | - Thomas L. Jang
- Urologic Oncology Program, Rutgers Cancer Institute of New Jersey, New Brunswick, USA
| | - Tamara L. Lotan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, USA
| | - Peter James
- Division of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, USA
| | - Francine Laden
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, USA
| | - Timothy R. Rebbeck
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, USA
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Naseem MN, Raza A, Kamran M, Allavena R, Constantinoiu C, McGowan M, Turni C, Tabor AE, James P. The Development of Cutaneous Lesions in Tropically Adapted Beef Cattle Is Associated with Hypersensitive Immune Response to Buffalo Fly Antigens. Animals (Basel) 2023; 13:2011. [PMID: 37370520 DOI: 10.3390/ani13122011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
This study investigated the role of cattle immune responses in the pathogenesis of buffalo fly (Haematobia irritans exigua) (BF) lesions. Brangus steers phenotyped for lesion development were divided into three groups: high lesion susceptibility (HL), low lesion susceptibility (LL) and no lesions (NL), based on lesion severity scores. Each steer was injected intradermally with different concentrations of BF, Onchocerca gibsoni (Og), and Musca domestica (Md) antigens. At 1 h post-injection, wheal areas at BF injection sites were found to be significantly larger in HL than NL cattle, but there were no significant differences (p < 0.05) found between either the HL or NL cattle and LL cattle. At 24, 48, and 72 h post-injection, the skinfold thickness response to both BF and Md antigens was significantly greater in the HL group than the NL group. However, skin thickness was significantly greater for the BF antigens than the Md antigens (p < 0.05). There were no significant differences found between the LL and NL animals in response to the BF antigens at any time, and no significant differences were determined between any of the lesion groups in response to the Og antigens. Histological examination of skin sections taken from the BF antigen injection sites in HL cattle at 72 h post-injection revealed necrosis of the epidermis and superficial dermis, along with severe eosinophilic inflammation. This study suggests that differences in the hypersensitivity to BF antigens underlie differences amongst the cattle in their susceptibility to the development of BF lesions, and breeding for immune-related biomarkers may assist in selecting more BF lesion-resistant cattle.
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Affiliation(s)
- Muhammad Noman Naseem
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
- The University of Queensland, School of Veterinary Science, Gatton, QLD 4343, Australia
| | - Ali Raza
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
| | - Muhammad Kamran
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
| | - Rachel Allavena
- The University of Queensland, School of Veterinary Science, Gatton, QLD 4343, Australia
| | - Constantin Constantinoiu
- James Cook University, College of Public Health, Medical & Veterinary Sciences, Townsville, QLD 4810, Australia
| | - Michael McGowan
- The University of Queensland, School of Veterinary Science, Gatton, QLD 4343, Australia
| | - Conny Turni
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
| | - Ala E Tabor
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
- The University of Queensland, School of Chemistry & Molecular Biosciences, St. Lucia, QLD, 4072, Australia
| | - Peter James
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD 4072, Australia
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Roscoe C, T Grady S, Hart JE, Iyer HS, Manson JE, Rexrode KM, Rimm EB, Laden F, James P. Exposure to Noise and Cardiovascular Disease in a Nationwide US Prospective Cohort Study of Women. medRxiv 2023:2023.06.07.23291083. [PMID: 37398490 PMCID: PMC10312856 DOI: 10.1101/2023.06.07.23291083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background: Long-term noise exposure is associated with cardiovascular disease (CVD), including acute cardiovascular events such as myocardial infarction and stroke. However, longitudinal cohort studies of long-term noise and CVD are almost exclusively from Europe, and few modelled nighttime and daytime noise separately. We aimed to examine the prospective association of outdoor long-term nighttime and daytime noise from anthropogenic sources with incident CVD using a US-based, nationwide cohort of women. Methods: We linked L50 (median) nighttime and L50 daytime modelled anthropogenic noise estimates from a US National Park Service model to geocoded residential addresses of 114,116 participants in the Nurses' Health Study. We used time-varying Cox proportional hazards models to estimate risk of incident CVD, coronary heart disease (CHD), and stroke associated with long-term average noise exposure, adjusted for potential individual- and area-level confounders and CVD risk factors (1988-2018). We assessed effect modification by population density, region, air pollution, vegetation cover, and neighborhood socioeconomic status, and explored mediation by self-reported average nightly sleep duration. Results: Over 2,544,035 person-years, there were 10,331 incident CVD events. In fully-adjusted models, the hazard ratios for each interquartile range increase in L50 nighttime noise (3.67 dBA) and L50 daytime noise (4.35 dBA), respectively, were 1.04 (95% CI 1.02, 1.06) and 1.04 (95% CI 1.02, 1.07). Similar associations were observed for CHD and stroke. Stratified analyses suggested that associations of nighttime and daytime noise with CVD did not differ by prespecified effect modifiers. We found no evidence that inadequate sleep (< 5 hours per night) mediated associations of noise and CVD. Discussion: Outdoor median nighttime and daytime noise at the residential address was associated with a small increase in CVD risk in a cohort of adult female nurses.
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Stowell JD, Ngo C, Jimenez MP, Kinney PL, James P. Development of a global urban greenness indicator dataset for 1,000+ cities. Data Brief 2023; 48:109140. [PMID: 37069950 PMCID: PMC10088350 DOI: 10.1016/j.dib.2023.109140] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/29/2023] [Accepted: 04/03/2023] [Indexed: 04/19/2023] Open
Abstract
Global climate change has sparked efforts to adapt to increasing temperatures, especially in urban areas that experience increased day and nighttime temperatures due to the urban heat island effect. The addition of greenspace has been suggested as a possible means for urban centers to respond to increasing urban temperatures. Thus, it is important for urban planning and policymakers to have access to data on greenspace specific at a fine spatial resolution. This dataset consists of information on peak and annual average 1 × 1 km Normalized Difference Vegetation Index (NDVI) for over 1,000 global urban centers, which is an objective satellite-based measure of vegetation. Population-weighted values for both peak and annual average NDVI and include an indicator of greenness, with seven levels ranging from extremely low to extremely high are provided. Additional information regarding the climate zone (using the Köppen-Geiger climate classification) and level of development (using the Human Development Index or HDI) for each city is included. Analyses were repeated in 2010, 2015, and 2020 to provide the ability to track urban greenness over time. Data are provided in tabular format with summaries presented in both tables and graphics. These data can be used to inform policy and planning and can be used as an indicator for a variety of climate and health investigations.
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Affiliation(s)
- Jennifer D. Stowell
- Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United States
| | - Catherine Ngo
- Consultant, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United States
| | - Marcia Pescador Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, 715 Albany Street, Boston, MA 02118, United States
| | - Patrick L. Kinney
- Department of Environmental Health, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, United States
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, Landmark Center, 401 Park Dr #401, Boston, MA 02215, United States
- Department of Environmental Health, Harvard T. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, United States
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Hu H, Laden F, Hart J, James P, Fishe J, Hogan W, Shenkman E, Bian J. A spatial and contextual exposome-wide association study and polyexposomic score of COVID-19 hospitalization. Exposome 2023; 3:osad005. [PMID: 37089437 PMCID: PMC10118922 DOI: 10.1093/exposome/osad005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/22/2023] [Accepted: 04/06/2023] [Indexed: 04/25/2023]
Abstract
Environmental exposures have been linked to COVID-19 severity. Previous studies examined very few environmental factors, and often only separately without considering the totality of the environment, or the exposome. In addition, existing risk prediction models of severe COVID-19 predominantly rely on demographic and clinical factors. To address these gaps, we conducted a spatial and contextual exposome-wide association study (ExWAS) and developed polyexposomic scores (PES) of COVID-19 hospitalization leveraging rich information from individuals' spatial and contextual exposome. Individual-level electronic health records of 50 368 patients aged 18 years and older with a positive SARS-CoV-2 PCR/Antigen lab test or a COVID-19 diagnosis between March 2020 and October 2021 were obtained from the OneFlorida+ Clinical Research Network. A total of 194 spatial and contextual exposome factors from 10 data sources were spatiotemporally linked to each patient based on geocoded residential histories. We used a standard two-phase procedure in the ExWAS and developed and validated PES using gradient boosting decision trees models. Four exposome measures significantly associated with COVID-19 hospitalization were identified, including 2-chloroacetophenone, low food access, neighborhood deprivation, and reduced access to fitness centers. The initial prediction model in all patients without considering exposome factors had a testing-area under the curve (AUC) of 0.778. Incorporation of exposome data increased the testing-AUC to 0.787. Similar findings were observed in subgroup analyses focusing on populations without comorbidities and aged 18-24 years old. This spatial and contextual exposome study of COVID-19 hospitalization confirmed previously reported risk factor but also generated novel predictors that warrant more focused evaluation.
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Affiliation(s)
- Hui Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jaime Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Population Medicine, Harvard Pilgrim Healthcare, Boston, MA, USA
| | - Jennifer Fishe
- Department of Emergency Medicine, University of Florida College of Medicine—Jacksonville, Jacksonville, FL, USA
| | - William Hogan
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Elizabeth Shenkman
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
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Bozigar M, Huang T, Redline S, Hart JE, Grady ST, Nguyen DD, James P, Nicholas B, Levy JI, Laden F, Peters JL. Associations between Aircraft Noise Exposure and Self-Reported Sleep Duration and Quality in the United States-Based Prospective Nurses' Health Study Cohort. Environ Health Perspect 2023; 131:47010. [PMID: 37058435 PMCID: PMC10104165 DOI: 10.1289/ehp10959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/21/2023] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Sleep disruption is linked with chronic disease, and aircraft noise can disrupt sleep. However, there are few investigations of aircraft noise and sleep in large cohorts. OBJECTIVES We examined associations between aircraft noise and self-reported sleep duration and quality in the Nurses' Health Study, a large prospective cohort. METHODS Aircraft nighttime equivalent sound levels (Lnight) and day-night average sound levels (DNL) were modeled around 90 U.S. airports from 1995 to 2015 in 5-y intervals using the Aviation Environmental Design Tool and linked to geocoded participant residential addresses. Lnight exposure was dichotomized at the lowest modeled level of 45 A-weighted decibels [dB(A)] and at multiple cut points for DNL. Multiple categories of both metrics were compared with < 45 dB(A). Self-reported short sleep duration (< 7 h/24-h day) was ascertained in 2000, 2002, 2008, 2012, and 2014, and poor sleep quality (frequent trouble falling/staying asleep) was ascertained in 2000. We analyzed repeated sleep duration measures using generalized estimating equations and sleep quality by conditional logistic regression. We adjusted for participant-level demographics, behaviors, comorbidities, and environmental exposures (greenness and light at night) and examined effect modification. RESULTS In 35,226 female nurses averaging 66.1 years of age at baseline, prevalence of short sleep duration and poor sleep quality were 29.6% and 13.1%, respectively. In multivariable models, exposure to Lnight ≥ 45 dB(A) was associated with 23% [95% confidence interval (CI): 7%, 40%] greater odds of short sleep duration but was not associated with poor sleep quality (9% lower odds; 95% CI: - 30 % , 19%). Increasing categories of Lnight and DNL ≥ 45 dB(A) suggested an exposure-response relationship for short sleep duration. We observed higher magnitude associations among participants living in the West, near major cargo airports, and near water-adjacent airports and among those reporting no hearing loss. DISCUSSION Aircraft noise was associated with short sleep duration in female nurses, modified by individual and airport characteristics. https://doi.org/10.1289/EHP10959.
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Affiliation(s)
- Matthew Bozigar
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Redline
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Stephanie T. Grady
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Daniel D. Nguyen
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Bradley Nicholas
- Volpe National Transportation Systems Center, U.S. Department of Transportation, Cambridge, Massachusetts, USA
| | - Jonathan I. Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Junenette L. Peters
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
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Ghazarian M, Leung KK, Yu LW, Sullivan K, Samman A, Deeb M, Steel A, James P. A67 RISK FACTORS ASSOCIATED WITH CRITICAL CARE AFTER INPATIENT GASTROINTESTINAL ENDOSCOPY: A 5-YEAR TERTIARY HOSPITAL STUDY. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991249 DOI: 10.1093/jcag/gwac036.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background A subset of hospitalized patients will require critical care after their gastrointestinal endoscopy (GIE) and predicting which patients are at high risk of requiring critical care remains an important challenge. Purpose To identify protective and aggravating clinical risk factors associated with critical care involvement within 7 days of inpatient GIE in adults and to develop a tool that could assist in risk-stratifying patients at high risk of requiring critical care post-endoscopy. Method This was a single-centre retrospective case-control study of adult patients who underwent inpatient GIE while admitted to ward-level care at Toronto General Hospital from years 2015 to 2019. Cases were defined by inpatients who required critical care response team and/or critical care admission within 7 days of GIE, compared to control patients who did not require critical care throughout admission. Chart review and linked secondary sources were used with defined inclusion and exclusion criteria. Both univariate and multivariate analyses were performed comparing patient baseline, clinical history (including cardiovascular, respiratory, other co-morbidities) and endoscopy characteristics. Result(s) We identified a total of 275 patients with 302 endoscopies as cases and 2069 patient controls who satisfied inclusion criteria. Critical care involvement was most commonly due to cardiovascular-related complications (n=175, 58%) followed by respiratory complications (n=117, 39%). Amongst cases, death occurred in 9 (3%), 25 (9%) and 67 (22%) within 72 hours, 7 days and 30 days respectively post endoscopy. The strongest associations with critical care involvement within 7 days after GIE included a history of discharge from critical care (OR 2.29 CI 1.70-3.04) and/or recent mechanical ventilatory support (OR 2.27 CI 1.30-3.91) in the 30 days prior to endoscopy, having several co-morbidities involving major organ systems (elevated troponin OR 3.20 CI 2.26-4.52, cirrhosis OR 2.5 CI 1.80-3.46, renal dysfunction 2.09 CI 1.57-2.78) and patients admitted under surgical (OR 3.82 CI 2.54-5.71) or transplant services (OR 4.63 CI 2.94-7.26). The majority of adverse events among cases were not found to be complications directly related to GIE (64% unlikely, 20% possible, 9% probable, 7% definite). Patients with a history of pulmonary hypertension (OR 5.68 CI 0.53-60.70) and ASA score III/IV (OR 3.28 CI 1.01-10.73) had the highest odds of probable or definite endoscopy-related adverse events. Conclusion(s) This study is the largest to date to examine risk factors associated with critical care requirements post GIE in the tertiary care inpatient setting. The risk factors we have identified can be used to create a tool to determine which inpatients may benefit from anesthesia consultation and support during their endoscopic procedure. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared
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Affiliation(s)
| | - K K Leung
- Division of Gastroenterology and Hepatology
| | | | | | | | - M Deeb
- Division of Gastroenterology and Hepatology
| | - A Steel
- Department of Anesthesiology, University Health Network, University of Toronto, Toronto, Canada
| | - P James
- Division of Gastroenterology and Hepatology
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James P, Gayowsky A, Salim M, Seow H, Sutradhar R, Tanuseputro P, Coburn N, Hallet J, Hsu A, Mahar A, Webber C. A56 DEVELOPMENT OF A PROGNOSTIC SURVIVAL MODEL FOR PATIENTS DIAGNOSED WITH PANCREATIC CANCER IN ONTARIO. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991217 DOI: 10.1093/jcag/gwac036.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Pancreatic adenocarcinoma (PAC) is a deadly disease with an overall 5-year survival of less than 8%. The current literature on patient outcomes are limited by small samples sizes and patients enrolled in clinical trials. There are no prognostic tools for patients with pancreatic cancer. Purpose To develop a prognostic survival model for patients with pancreatic cancer Method All patients with a diagnosis of pancreatic cancer cancer from January 2007 to December 2020 were identified through the Ontario Cancer Registry. The primary outcome was survival. The cohort was used to develop a multivariable cox proportional hazards regression model with baseline characteristics under a backward stepwise variable selection process to predict the risk of mortality. Covariates included patient age, sex, tumour location, cancer stage, treatment types, distance to a cancer centre, hospitalizations, comorbidities, access to family physician, and symptoms as captured using the Edmonton Symptom Assessment System datasets. Result(s) There was a total of 17,450 pancreatic cancer patients in the cohort, 48% of which were female and the mean age was 72 years. 44% of patients presented with a tumor in the head of the pancreas. Among those with stage data (44%), 24% were stage IV at diagnosis. Mean survival was approximately 0.7 years. Approximately 60% were hospitalized in the 3 months prior to diagnosis. Almost all patients had a family doctor rostered (95%). In multivariate analysis, key predictors of survival assessed at the time of diagnosis were age, sex, tumour location in the pancreas, stage at diagnosis, pain, appetite functional status and treatment choice (all p<0.001). Using these variables, we created a prediction model that can estimate one-year probability of death with high discrimination (area under the curve = 0.82, c-statistic 0.76). Conclusion(s) Our model accurately predicts one-year pancreatic cancer survival risk using clinical symptom and performance status data. The model has the potential to be a useful prognostic tool that can be completed by patients and their caregivers in support of patient-centered care. Please acknowledge all funding agencies by checking the applicable boxes below CIHR Disclosure of Interest None Declared
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Affiliation(s)
- P James
- Gastroenterology, University Health Network,Medicine, University of Toronto
| | - A Gayowsky
- Institute for Clinical Evaluative Sciences, Toronto
| | - M Salim
- Gastroenterology, University Health Network
| | - H Seow
- Oncology, McMaster, Hamilton
| | - R Sutradhar
- Institute for Clinical Evaluative Sciences, Toronto,Department of Biostatistics, University of Toronto, Toronto
| | - P Tanuseputro
- Institute for Clinical Evaluative Sciences, Toronto,Ottawa Hospital Research Institute, Ottawa
| | - N Coburn
- Sunnybrook Health Sciences Centre, Toronto
| | - J Hallet
- Institute for Clinical Evaluative Sciences, Toronto,Sunnybrook Health Sciences Centre, Toronto
| | - A Hsu
- Bruyère Research Institute , Ottawa
| | - A Mahar
- Queens University, Kingston, Canada
| | - C Webber
- Ottawa Hospital Research Institute, Ottawa
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Khan R, Homsi H, Gimpaya N, Sabrie N, Gholami R, Bansal R, Scaffidi M, Lightfoot D, James P, Siau K, Forbes N, Wani S, Keswani R, Walsh C, Grover S. A117 VALIDITY EVIDENCE FOR ENDOSCOPIC RETROGRADE CHOLANGIOPANCREATOGRAPHY COMPETENCY ASSESSMENT TOOLS: A SYSTEMATIC REVIEW. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991253 DOI: 10.1093/jcag/gwac036.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Assessment of competence in endoscopic retrograde cholangiopancreatography (ERCP) is essential to ensure trainees possess the skills needed for independent practice. Traditionally, ERCP training has used the apprenticeship model, whereby novices learn skills under the supervision of an expert. A growing focus on procedural quality, however, has supported the implementation of competency-based medical education models which require documentation of a trainee’s competence for independent practice. Observational assessment tools with strong evidence of validity are critical to this process. Validity evidence supporting ERCP observational assessment tools has not been systematically evaluated. Purpose To conduct a systematic review of ERCP assessment tools and identify tools with strong evidence of validity using a unified validity evidence framework Method We conducted a systematic search using electronic databases and hand-searching from inception until August 2021 for studies evaluating observational assessment tools of ERCP performance. We used a unified validity framework to characterize validity evidence from five sources: content, response process, internal structure, relations to other variables, and consequences. Each domain was assigned a score of 0-3 (maximum score 15). We assessed educational utility and methodological quality using the Accreditation Council for Graduate Medical Education framework and the Medical Education Research Quality Instrument, respectively. Result(s) From 2769 records, we included 17 studies evaluating 7 assessment tools. Five tools were studied for clinical ERCP, one on simulated ERCP, and one on simulated and clinical ERCP. Validity evidence scores ranged from 2-12. The Bethesda ERCP Skills Assessment Tool (BESAT), ERCP Direct Observation of Procedural Skills Tool (ERCP DOPS), and The Endoscopic Ultrasound (EUS) and ERCP Skills Assessment Tool (TEESAT) had the strongest validity evidence with scores of 10, 12, and 11, respectively. Regarding educational utility, most tools were easy to use and interpret, and required minimal additional resources. Overall methodological quality was strong, with scores ranging from 10-12.5 (maximum 13.5). Conclusion(s) The BESAT, ERCP DOPS, and TEESAT have strong validity evidence compared to other assessments. Integrating tools into training may help drive learners’ development and support competency decision-making. Please acknowledge all funding agencies by checking the applicable boxes below CAG Disclosure of Interest None Declared
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Affiliation(s)
- R Khan
- Western University, London
| | | | | | | | | | | | | | | | - P James
- University Health Network, Toronto, Canada
| | - K Siau
- University of Birmingham College of Medical and Dental Sciences, Birmingham, United Kingdom
| | - N Forbes
- University of Calgary, Calgary, Canada
| | - S Wani
- University of Colorado Anschutz Medical Campus, Aurora
| | - R Keswani
- Northwestern University, Chicago, United States
| | - C Walsh
- The Hospital for Sick Children, Toronto, Canada
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YI LI, Hart JE, Wilt G, Hu C, Laden F, Chavarro J, James P. Abstract 52: Using Smartphone-Based Digital Phenotyping to Understand Lifestyle and Behavioral Risks of Cardiometabolic Diseases: The Beiwe Smartphone Sub-Study of Nurses’ Health Study 3 and Growing Up Today Study. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.52] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Background:
Emerging evidence has suggested lifestyle and behavioral factors such as physical activity, diet, and sleep may be associated with cardiometabolic health outcomes in US adults. However, these studies typically have limited temporal or spatial coverage. The current study aimed to fill in this gap by applying smartphone-based digital phenotyping to collect dynamic, high temporal resolution measures of lifestyle and behavioral factors.
Methods:
Participants (N = 2,127 as of Sep 7
th
, 2022) of the Beiwe Smartphone Sub-study of Nurses’ Health Study 3 (NHS3) and Growing Up Today Study (GUTS) completed microsurveys delivered by the Beiwe smartphone application for a year each. Starting July 2021, a microsurvey was delivered every 10 days, covering one of the 12 different topics, including emotions, stress, physical activity, green space, pets, diet, sleep, and sitting. These questionnaires aimed to measure various aspects of participants’ key health behaviors, to combine with objectively assessed high-resolution GPS and accelerometer data that participants provided during the same period.
Results:
Between July 28
th
, 2021, and Sep 7
th
, 2022, 2,127 participants completed 22,039 microsurveys delivered by the Beiwe application. The mean follow-up for participants was 116 days (SD=124, range=221). During this period, each participant on average submitted 10 microsurveys (SD=10, range=39). The topic completed most consistently (N=1,955 responses) was pets (the first microsurvey), and 43.3% of responses from participants reported a park visit in the past week. Additionally, 71.2% of responses from participants reported they spent at least a few minutes walking for exercise in the past week. Furthermore, during the same period, participants on average provided 177 days (SD=123, range=218) of GPS data and 181 days (SD=181, range=224) of accelerometer data.
Conclusions:
In this study, the smartphone-based digital phenotyping technology was implemented to collect intensive longitudinal data on lifestyle and behavioral factors in two well-established prospective cohorts. The efforts so far have resulted in a rich dataset on health behaviors, which can be linked to locations and future cardiometabolic health outcomes.
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Affiliation(s)
- LI YI
- Harvard Sch of Public Health, Boston, MA
| | | | - Grete Wilt
- Harvard Sch of Public Health, Boston, MA
| | - Cindy Hu
- Harvard Sch of Public Health, Boston, MA
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Thinagaran J, Tadtayev S, Mikhail M, James P, Calubayan R, Arumainayagam N. Out of harm's way: scrotal support for transperineal prostate biopsy. Ann R Coll Surg Engl 2023; 105:183-184. [PMID: 35446696 PMCID: PMC9889179 DOI: 10.1308/rcsann.2021.0350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/03/2021] [Indexed: 02/03/2023] Open
Affiliation(s)
- Jkr Thinagaran
- Ashford and St. Peter's Hospitals NHS Foundation Trust, UK
| | - S Tadtayev
- Ashford and St. Peter's Hospitals NHS Foundation Trust, UK
| | - M Mikhail
- Ashford and St. Peter's Hospitals NHS Foundation Trust, UK
| | - P James
- Ashford and St. Peter's Hospitals NHS Foundation Trust, UK
| | - R Calubayan
- Ashford and St. Peter's Hospitals NHS Foundation Trust, UK
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Medgyesi DN, Trabert B, Fisher JA, Xiao Q, James P, White AJ, Madrigal JM, Jones RR. Outdoor light at night and risk of endometrial cancer in the NIH-AARP diet and health study. Cancer Causes Control 2023; 34:181-187. [PMID: 36222982 DOI: 10.1007/s10552-022-01632-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 09/15/2022] [Indexed: 01/28/2023]
Abstract
PURPOSE Outdoor light at night (LAN) can result in circadian disruption and hormone dysregulation and is a suspected risk factor for some cancers. Our study is the first to evaluate the association between LAN and risk of endometrial cancer, a malignancy with known relationship to circulating estrogen levels. METHODS We linked enrollment addresses (1996) for 97,677 postmenopausal women in the prospective NIH-AARP cohort to satellite imagery of nighttime radiance to estimate LAN exposure. Multivariable Cox models estimated hazard ratios (HR) and 95% confidence intervals (95% CI) for LAN quintiles and incident endometrial cancer overall (1,669 cases) and endometrioid adenocarcinomas (991 cases) through follow-up (2011). We tested for interaction with established endometrial cancer risk factors. RESULTS We observed no association for endometrial cancer overall (HRQ1vsQ5 0.92; 95% CI 0.78-1.08; p trend = 0.67) or endometrioid adenocarcinoma (HRQ1vsQ5 1.01; 95% CI 0.82-1.24; p trend = 0.36). Although body mass index and menopause hormone therapy were both associated with risk, there was no evidence of interaction with LAN (p interactions = 0.52 and 0.50, respectively). CONCLUSION Our study did not find an association between outdoor LAN and endometrial cancer risk, but was limited by the inability to account for individual-level exposure determinants. Future studies should consider approaches to improve characterization of personal exposures to light.
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Affiliation(s)
- Danielle N Medgyesi
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Britton Trabert
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jared A Fisher
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Qian Xiao
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. .,Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E606, Rockville, MD, 20850, USA.
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Chen K, Klompmaker JO, Roscoe CJ, Nguyen LH, Drew DA, James P, Laden F, Fecht D, Wang W, Gulliver J, Wolf J, Steves CJ, Spector TD, Chan AT, Hart JE. Associations between greenness and predicted COVID-19-like illness incidence in the United States and the United Kingdom. Environ Epidemiol 2023; 7:e244. [PMID: 36788976 PMCID: PMC9916094 DOI: 10.1097/ee9.0000000000000244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/20/2023] [Indexed: 02/10/2023] Open
Abstract
Green spaces may be protective against COVID-19 incidence. They may provide outdoor, ventilated, settings for physical and social activities and therefore decrease transmission risk. We examined the association between neighborhood greenness and COVID-19-like illness incidence using individual-level data. Methods The study population includes participants enrolled in the COVID Symptom Study smartphone application in the United Kingdom and the United States (March-November 2020). All participants were encouraged to report their current health condition and suspected risk factors for COVID-19. We used a validated symptom-based classifier that predicts COVID-19-like illness. We estimated the Normalized Difference Vegetation Index (NDVI), for each participant's reported neighborhood of residence for each month, using images from Landsat 8 (30 m2). We used time-varying Cox proportional hazards models stratified by age, country, and calendar month at study entry and adjusted for the individual- and neighborhood-level risk factors. Results We observed 143,340 cases of predicted COVID-19-like illness among 2,794,029 participants. Neighborhood NDVI was associated with a decreased risk of predicted COVID-19-like illness incidence in the fully adjusted model (hazard ratio = 0.965, 95% confidence interval = 0.960, 0.970, per 0.1 NDVI increase). Stratified analyses showed protective associations among U.K. participants but not among U.S. participants. Associations were slightly stronger for White individuals, for individuals living in rural neighborhoods, and for individuals living in high-income neighborhoods compared to individuals living in low-income neighborhoods. Conclusions Higher levels of greenness may reduce the risk of predicted COVID-19-like illness incidence, but these associations were not observed in all populations.
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Affiliation(s)
- Kelly Chen
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jochem O. Klompmaker
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Charlotte J. Roscoe
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Long H. Nguyen
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - David A. Drew
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Weiyi Wang
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
| | - John Gulliver
- Centre for Environmental Health and Sustainability, George Davies Centre, University of Leicester, Leicester, United Kingdom
| | | | - Claire J. Steves
- Kings College Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Tim D. Spector
- Kings College Department of Twin Research and Genetic Epidemiology, King’s College London, London, United Kingdom
| | - Andy T. Chan
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
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Naseem MN, Allavena R, Raza A, Constantinoiu C, McGowan M, Turni C, Kamran M, Tabor AE, James P. Pathology and pathogenesis of cutaneous lesions in beef cattle associated with buffalo fly infestation. Front Vet Sci 2023; 9:971813. [PMID: 36744228 PMCID: PMC9890058 DOI: 10.3389/fvets.2022.971813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/29/2022] [Indexed: 01/19/2023] Open
Abstract
Haematobia irritans exigua, commonly known as buffalo fly, is the major hematophagous ectoparasite of north Australian cattle herds. Lesions associated with buffalo fly infestation are generally alopecic, hyperkeratotic, or scab encrusted wounds with variable hemorrhagic ulceration. Buffalo flies can transmit a filarial nematode, Stephanofilaria sp., which has been implicated in the pathogenesis of buffalo fly lesions, but Stephanofilaria infection has not been detected in all lesions suggesting that other causal factors may be involved. This study characterized the pathology of buffalo fly lesions to identify the role of Stephanofilaria in lesion development, as well as to identify other potential agents. Lesion biopsies were collected from north and south Queensland and tested for the presence of Stephanofilaria by qPCR. Each lesion was scored grossly (0-4) for hemorrhage, ulceration, exudation, and alopecia. Lesions were also scored microscopically (0-4) for epidermal and dermal damage and inflammatory characters. Stephanofilaria infection was detected in 31% of lesion biopsies. Grossly, Stephanofilaria-infected lesions had significantly larger lesion area and higher scores for alopecia and hyperkeratosis than lesions where no nematodes were found (P < 0.05). Histologically, epidermal, dermal, and adnexal damage was significantly higher in Stephanofilaria infected lesions than lesions without nematodes. Eosinophils, macrophages, and lymphocytes were significantly more abundant in Stephanofilaria positive lesions as compared to negative lesions. This study also noted bacterial infection with colonies of coccoid bacteria, observed in skin sections from 19 lesions. Grossly, lesions with bacterial infection had significantly higher ulceration scores compared to Stephanofilaria positive lesions, and histologically epidermal disruption was significantly greater in bacteria-infected lesions. We found no evidence of bacteria or Stephanofilaria infection in 49% of the lesions assessed and tissue damage patterns and eosinophilic inflammation suggested hypersensitivity to buffalo fly feeding as a possible cause of these lesions. These findings suggest that although the presence of Stephanofilaria infection may increase the severity of lesion pathology, it is not essential for lesion development. These outcomes also suggest a potential role of bacteria and hypersensitivity in pathogenesis of some lesion. A better understanding of buffalo fly lesion etiology will contribute to the optimal treatment and control programmes.
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Affiliation(s)
- Muhammad Noman Naseem
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia
| | - Rachel Allavena
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Ali Raza
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia
| | - Constantin Constantinoiu
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia
| | - Michael McGowan
- School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia
| | - Conny Turni
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia
| | - Muhammad Kamran
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia
| | - Ala E. Tabor
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia,School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD, Australia
| | - Peter James
- The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Centre for Animal Science, St. Lucia, QLD, Australia,*Correspondence: Peter James ✉
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Hu H, Liu X, Zheng Y, He X, Hart J, James P, Laden F, Chen Y, Bian J. Methodological Challenges in Spatial and Contextual Exposome-Health Studies. Crit Rev Environ Sci Technol 2023; 53:827-846. [PMID: 37138645 PMCID: PMC10153069 DOI: 10.1080/10643389.2022.2093595] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The concept of the exposome encompasses the totality of exposures from a variety of external and internal sources across an individual's life course. The wealth of existing spatial and contextual data makes it appealing to characterize individuals' external exposome to advance our understanding of environmental determinants of health. However, the spatial and contextual exposome is very different from other exposome factors measured at the individual-level as spatial and contextual exposome data are more heterogenous with unique correlation structures and various spatiotemporal scales. These distinctive characteristics lead to multiple unique methodological challenges across different stages of a study. This article provides a review of the existing resources, methods, and tools in the new and developing field for spatial and contextual exposome-health studies focusing on four areas: (1) data engineering, (2) spatiotemporal data linkage, (3) statistical methods for exposome-health association studies, and (4) machine- and deep-learning methods to use spatial and contextual exposome data for disease prediction. A critical analysis of the methodological challenges involved in each of these areas is performed to identify knowledge gaps and address future research needs.
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Affiliation(s)
- Hui Hu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xiaokang Liu
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yi Zheng
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xing He
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jaime Hart
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Pilgrim Healthcare, Boston, Massachusetts, USA
| | - Francine Laden
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
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Klompmaker JO, Laden F, James P, Sabath MB, Wu X, Schwartz J, Dominici F, Zanobetti A, Hart JE. Effects of long-term average temperature on cardiovascular disease hospitalizations in an American elderly population. Environ Res 2023; 216:114684. [PMID: 36334826 PMCID: PMC10236856 DOI: 10.1016/j.envres.2022.114684] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/05/2022] [Accepted: 10/25/2022] [Indexed: 05/05/2023]
Abstract
BACKGROUND Short-term exposure to high or low temperatures is associated with increased mortality and morbidity. Less is known about effects of long-term exposure to high or low temperatures. Prolonged exposure to high or low temperatures might contribute to pathophysiological mechanisms, thereby influencing the development of diseases. Our aim was to evaluate associations of long-term temperature exposure with cardiovascular disease (CVD) hospitalizations. METHODS We constructed an open cohort consisting of all fee-for-service Medicare beneficiaries, aged ≥65, living in the contiguous US from 2000 through 2016 (∼61.6 million individuals). We used data from the 4 km Gridded Surface Meteorological dataset to assess the summer (June-August) and winter (December-February) average daily maximum temperature for each year for each zip code. Cox-equivalent Poisson models were used to estimate associations with first CVD hospitalization, after adjustment for potential confounders. We performed stratified analyses to assess potential effect modification by sex, age, race, Medicaid eligibility and relative humidity. RESULTS Higher summer average and lower winter average temperatures were associated with an increased risk of CVD hospitalization. We found a HR of 1.068 (95% CI: 1.063, 1.074) per IQR increase (5.2 °C) for summer average temperature and a HR of 1.022 (95% CI: 1.017, 1.028) per IQR decrease (11.7 °C) for winter average temperature. Positive associations of higher summer average temperatures were strongest for individuals aged <75 years, Medicaid eligible, and White individuals. Positive associations of lower winter average temperatures were strongest for individuals aged <75 years and Black individuals, and individuals living in low relative humidity areas. CONCLUSIONS Living in areas with high summer average temperatures or low winter average temperatures could increase the risk of CVD hospitalizations. The magnitude of the associations of summer and winter average temperatures differs by demographics and relative humidity levels.
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Affiliation(s)
- Jochem O Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - M Benjamin Sabath
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xiao Wu
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Massachusetts 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
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Klompmaker JO, Hart JE, Bailey CR, Browning MH, Casey JA, Hanley JR, Minson CT, Ogletree SS, Rigolon A, Laden F, James P. Racial, Ethnic, and Socioeconomic Disparities in Multiple Measures of Blue and Green Spaces in the United States. Environ Health Perspect 2023; 131:17007. [PMID: 36696102 PMCID: PMC9875842 DOI: 10.1289/ehp11164] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
BACKGROUND Several studies have evaluated whether the distribution of natural environments differs between marginalized and privileged neighborhoods. However, most studies restricted their analyses to a single or handful of cities and used different natural environment measures. OBJECTIVES We evaluated whether natural environments are inequitably distributed based on socioeconomic status (SES) and race/ethnicity in the contiguous United States. METHODS We obtained SES and race/ethnicity data (2015-2019) for all U.S. Census tracts. For each tract, we calculated the Normalized Different Vegetation Index (NDVI) for 2020, NatureScore (a proprietary measure of the quantity and quality of natural elements) for 2019, park cover for 2020, and blue space for 1984-2018. We used generalized additive models with adjustment for potential confounders and spatial autocorrelation to evaluate associations of SES and race/ethnicity with NDVI, NatureScore, park cover, and odds of containing blue space in all tracts (n=71,532) and in urban tracts (n=45,338). To compare effect estimates, we standardized NDVI, NatureScore, and park cover so that beta coefficients presented a percentage increase or decrease of the standard deviation (SD). RESULTS Tracts with higher SES had higher NDVI, NatureScore, park cover, and odds of containing blue space. For example, urban tracts in the highest median household income quintile had higher NDVI [44.8% of the SD (95% CI: 42.8, 46.8)] and park cover [16.2% of the SD (95% CI: 13.5, 19.0)] compared with urban tracts in the lowest median household income quintile. Across all tracts, a lower percentage of non-Hispanic White individuals and a higher percentage of Hispanic individuals were associated with lower NDVI and NatureScore. In urban tracts, we observed weak positive associations between percentage non-Hispanic Black and NDVI, NatureScore, and park cover; we did not find any clear associations for percentage Hispanics. DISCUSSION Multiple facets of the natural environment are inequitably distributed in the contiguous United States. https://doi.org/10.1289/EHP11164.
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Affiliation(s)
- Jochem O. Klompmaker
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | | | - Matthew H.E.M. Browning
- Department of Parks, Recreation and Tourism Management, Clemson University, Clemson, South Carolina, USA
| | - Joan A. Casey
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | | | - Christopher T. Minson
- NatureQuant, Eugene, Oregon, USA
- Department of Human Physiology, University of Oregon, Eugene, Oregon, USA
| | - S. Scott Ogletree
- OPENspace Research Centre, School of Architecture and Landscape Architecture, University of Edinburgh, Edinburgh, UK
| | - Alessandro Rigolon
- Department of City and Metropolitan Planning, University of Utah, Salt Lake City, Utah, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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Raza A, Schulz BL, Nouwens A, Naseem MN, Kamran M, Mantilla Valdivieso EF, Kerr ED, Constantinoiu C, Jonsson NN, James P, Tabor AE. Application of quantitative proteomics to discover biomarkers for tick resistance in cattle. Front Immunol 2023; 14:1091066. [PMID: 36793724 PMCID: PMC9924087 DOI: 10.3389/fimmu.2023.1091066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/04/2023] [Indexed: 01/31/2023] Open
Abstract
Introduction Breeding for tick resistance is a sustainable alternative to control cattle ticks due to widespread resistance to acaricidal drugs and the lack of a protective vaccine. The most accurate method used to characterise the phenotype for tick resistance in field studies is the standard tick count, but this is labour-intensive and can be hazardous to the operator. Efficient genetic selection requires reliable phenotyping or biomarker(s) for accurately identifying tick-resistant cattle. Although breed-specific genes associated with tick resistance have been identified, the mechanisms behind tick resistance have not yet been fully characterised. Methods This study applied quantitative proteomics to examine the differential abundance of serum and skin proteins using samples from naïve tick-resistant and -susceptible Brangus cattle at two-time points following tick exposure. The proteins were digested into peptides, followed by identification and quantification using sequential window acquisition of all theoretical fragment ion mass spectrometry. Results Resistant naïve cattle had a suite of proteins associated with immune response, blood coagulation and wound healing that were significantly (adjusted P < 10- 5) more abundant compared with susceptible naïve cattle. These proteins included complement factors (C3, C4, C4a), alpha-1-acid glycoprotein (AGP), beta-2-glycoprotein-1, keratins (KRT1 & KRT3) and fibrinogens (alpha & beta). The mass spectrometry findings were validated by identifying differences in the relative abundance of selected serum proteins with ELISA. The proteins showing a significantly different abundance in resistant cattle following early and prolonged tick exposures (compared to resistant naïve) were associated with immune response, blood coagulation, homeostasis, and wound healing. In contrast, susceptible cattle developed some of these responses only after prolonged tick exposure. Discussion Resistant cattle were able to transmigrate immune-response related proteins towards the tick bite sites, which may prevent tick feeding. Significantly differentially abundant proteins identified in this research in resistant naïve cattle may provide a rapid and efficient protective response to tick infestation. Physical barrier (skin integrity and wound healing) mechanisms and systemic immune responses were key contributors to resistance. Immune response-related proteins such as C4, C4a, AGP and CGN1 (naïve samples), CD14, GC and AGP (post-infestation) should be further investigated as potential biomarkers for tick resistance.
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Affiliation(s)
- Ali Raza
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia
| | - Benjamin L Schulz
- The University of Queensland, School of Chemistry and Molecular Biosciences, St. Lucia, QLD, Australia
| | - Amanda Nouwens
- The University of Queensland, School of Chemistry and Molecular Biosciences, St. Lucia, QLD, Australia
| | - Muhammad Noman Naseem
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia
| | - Muhammad Kamran
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia
| | - Emily F Mantilla Valdivieso
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia
| | - Edward D Kerr
- The University of Queensland, School of Chemistry and Molecular Biosciences, St. Lucia, QLD, Australia
| | - Constantin Constantinoiu
- College of Public Health, Medical & Veterinary Sciences, James Cook University, Townsville, QLD, Australia
| | - Nicholas N Jonsson
- Institute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Peter James
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia
| | - Ala E Tabor
- Queensland Alliance for Agriculture & Food Innovation, Centre for Animal Science, The University of Queensland, St Lucia, QLD, Australia.,The University of Queensland, School of Chemistry and Molecular Biosciences, St. Lucia, QLD, Australia
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Li H, Hart JE, Mahalingaiah S, Nethery RC, James P, Bertone-Johnson E, Eliassen AH, Laden F. Environmental Exposures and Anti-Müllerian Hormone: A Mixture Analysis in the Nurses' Health Study II. Epidemiology 2023; 34:150-161. [PMID: 36455251 PMCID: PMC9720700 DOI: 10.1097/ede.0000000000001547] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
BACKGROUND Previous studies have linked environmental exposures with anti-Müllerian hormone (AMH), a marker of ovarian reserve. However, associations with multiple environment factors has to our knowledge not been addressed. METHODS We included a total of 2,447 premenopausal women in the Nurses' Health Study II (NHSII) who provided blood samples during 1996-1999. We selected environmental exposures linked previously with reproductive outcomes that had measurement data available in NHSII, including greenness, particulate matter, noise, outdoor light at night, ultraviolet radiation, and six hazardous air pollutants (1,3-butadiene, benzene, diesel particulate matter, formaldehyde, methylene chloride, and tetrachloroethylene). For these, we calculated cumulative averages from enrollment (1989) to blood draw and estimated associations with AMH in adjusted single-exposure models, principal component analysis (PCA), and hierarchical Bayesian kernel machine regression (BKMR). RESULTS Single-exposure models showed negative associations of AMH with benzene (percentage reduction in AMH per interquartile range [IQR] increase = 5.5%, 95% confidence interval [CI] = 1.0, 9.8) and formaldehyde (6.1%, 95% CI = 1.6, 10). PCA identified four major exposure patterns but only one with high exposure to air pollutants and light at night was associated with lower AMH. Hierarchical BKMR pointed to benzene, formaldehyde, and greenness and suggested an inverse joint association with AMH (percentage reduction comparing all exposures at the 75th percentile to median = 8.2%, 95% CI = 0.7, 15.1). Observed associations were mainly among women above age 40. CONCLUSIONS We found exposure to benzene and formaldehyde to be consistently associated with lower AMH levels. The associations among older women are consistent with the hypothesis that environmental exposures accelerate reproductive aging.
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Affiliation(s)
- Huichu Li
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Jaime E. Hart
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Shruthi Mahalingaiah
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Rachel C. Nethery
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Elizabeth Bertone-Johnson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
- Department of Health Promotion and Policy, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Francine Laden
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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Klompmaker JO, Laden F, Browning MHEM, Dominici F, Jimenez MP, Ogletree SS, Rigolon A, Zanobetti A, Hart JE, James P. Associations of Greenness, Parks, and Blue Space With Neurodegenerative Disease Hospitalizations Among Older US Adults. JAMA Netw Open 2022; 5:e2247664. [PMID: 36538329 PMCID: PMC9856892 DOI: 10.1001/jamanetworkopen.2022.47664] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/31/2022] [Indexed: 12/24/2022] Open
Abstract
Importance Exposure to natural environments has been associated with health outcomes related to neurological diseases. However, the few studies that have examined associations of natural environments with neurological diseases report mixed findings. Objective To evaluate associations of natural environments with hospital admissions for Alzheimer disease and related dementias (ADRD) and Parkinson disease (PD) among older adults in the US. Design, Setting, and Participants This open cohort study included fee-for-service Medicare beneficiaries aged 65 years or older who lived in the contiguous US from January 1, 2000, to December 31, 2016. Beneficiaries entered the cohort on January 1, 2000, or January 1 of the year after enrollment. Data from US Medicare enrollment and Medicare Provider Analysis and Review files, which contain information about individual-level covariates and all hospital admissions for Medicare fee-for-service beneficiaries, were analyzed between January 2021 and September 2022. Exposures Differences in IQRs for zip code-level greenness (normalized difference vegetation index [NDVI]), percentage park cover, and percentage blue space cover (surface water; ≥1.0% vs <1.0%). Main Outcomes and Measures The main outcome was first hospitalizations with a primary or secondary discharge diagnosis of ADRD or PD. To examine associations of exposures to natural environments with ADRD and PD hospitalization, we used Cox-equivalent Poisson models. Results We included 61 662 472 and 61 673 367 Medicare beneficiaries in the ADRD and PD cohorts, respectively. For both cohorts, 55.2% of beneficiaries were women. Most beneficiaries in both cohorts were White (84.4%), were not eligible for Medicaid (87.6%), and were aged 65 to 74 years (76.6%) at study entry. We observed 7 737 609 and 1 168 940 first ADRD and PD hospitalizations, respectively. After adjustment for potential individual- and area-level confounders (eg, Medicaid eligibility and zip code-level median household income), NDVI was negatively associated with ADRD hospitalization (hazard ratio [HR], 0.95 [95% CI, 0.94-0.96], per IQR increase). We found no evidence of an association of percentage park and blue space cover with ADRD hospitalization. In contrast, NDVI (HR, 0.94 [95% CI, 0.93-0.95], per IQR increase), percentage park cover (HR, 0.97 [95% CI, 0.97-0.98], per IQR increase), and blue space cover (HR, 0.97 [95% CI, 0.96-0.98], ≥1.0% vs <1.0%) were associated with a decrease in PD hospitalizations. Patterns of effect modification by demographics differed between exposures. Conclusions and Relevance The findings of this cohort study suggest that some natural environments are associated with a decreased risk of ADRD and PD hospitalization.
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Affiliation(s)
- Jochem O. Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | - Francesca Dominici
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - S. Scott Ogletree
- OPENspace Research Centre, School of Architecture and Landscape Architecture, University of Edinburgh, Edinburgh, United Kingdom
| | - Alessandro Rigolon
- Department of City and Metropolitan Planning, University of Utah, Salt Lake City
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Jaime E. Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Zhu Y, Joseph CLM, Singh AM, Hartert T, Cacho F, Karagas MR, North-Reid T, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, James P, Oken E. Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children. JAMA Netw Open 2022; 5:e2247957. [PMID: 36547983 PMCID: PMC9857328 DOI: 10.1001/jamanetworkopen.2022.47957] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/30/2022] [Indexed: 12/24/2022] Open
Abstract
Importance Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.
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Affiliation(s)
- Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- UPR Medical Sciences Campus, University of Puerto Rico Graduate School of Public Health, San Juan
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, University of Wisconsin–Madison, Madison
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Tiffany North-Reid
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia
| | - Su H. Chu
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Institute for Environmental Health Sciences, Wayne State University School of Medicine, Detroit, Michigan
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
| | - Bibiana Restrepo
- Department of Pediatrics, University of California Davis School of Medicine, Sacramento
- MIND Institute, University of California Davis, Sacramento, California
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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