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Jimenez MP, Gause EL, Sims KD, Hayes-Larson E, Morris EP, Fletcher E, Manly J, Gilsanz P, Soh Y, Corrada M, Whitmer RA, Glymour MM. Racial and ethnic differences in the association between depressive symptoms and cognitive outcomes in older adults: Findings from KHANDLE and STAR. Alzheimers Dement 2024. [PMID: 38477489 DOI: 10.1002/alz.13768] [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: 10/18/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION Depressive symptoms are associated with higher risk of dementia, but how they impact cognition in diverse populations is unclear. METHODS Asian, Black, Latino, or White participants (n = 2227) in the Kaiser Healthy Aging and Diverse Life Experiences (age 65+) and the Study of Healthy Aging in African Americans (age 50+) underwent up to three waves of cognitive assessments over 4 years. Multilevel models stratified by race/ethnicity were used to examine whether depressive symptoms were associated with cognition or cognitive decline and whether associations differed by race/ethnicity. RESULTS Higher depressive symptoms were associated with lower baseline verbal episodic memory scores (-0.06, 95% CI: -0.12, -0.01; -0.15, 95% CI: -0.25, -0.04), and faster decline annually in semantic memory (-0.04, 95% CI: -0.07, -0.01; -0.10, 95% CI: -0.15, -0.05) for Black and Latino participants. Depressive symptoms were associated with lower baseline but not decline in executive function. DISCUSSION Depressive symptoms were associated with worse cognitive outcomes, with some evidence of heterogeneity across racial/ethnic groups. HIGHLIGHTS We examined whether baseline depressive symptoms were differentially associated with domain-specific cognition or cognitive decline by race/ethnicity. Depressive symptoms were associated with worse cognitive scores for all racial/ethnic groups across different domains examined. Higher depressive symptoms were associated with faster cognitive decline for semantic memory for Black and Latino participants. The results suggest a particularly harmful association between depressive symptoms and cognition in certain racial/ethnic groups.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Emma L Gause
- Center for Climate and Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Kendra D Sims
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Eleanor Hayes-Larson
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA
| | - Emily P Morris
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA
| | - Evan Fletcher
- Department of Neurology, University of California, Davis, California, USA
| | - Jennifer Manly
- Department of Neurology, Columbia University, New York, New York, USA
| | - Paola Gilsanz
- Division of Research, Kaiser Permanente, Oakland, California, USA
| | - Yenee Soh
- Division of Research, Kaiser Permanente, Oakland, California, USA
| | - Maria Corrada
- Department of Epidemiology, University of California Irvine School of Medicine, Irvine, California, USA
| | - Rachel A Whitmer
- Department of Public Health Sciences and Neurology, University of California Davis School of Medicine, Davis, California, USA
| | - Medellena Maria Glymour
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
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Jimenez MP, Gause EL, Hayes-Larson E, Morris EP, Fletcher E, Manly J, Gilsanz P, Soh Y, Corrada M, Whitmer RA, Glymour MM. Racial and Ethnic Differences in the Association between Depressive Symptoms and Cognitive Outcomes in Older Adults: Findings from KHANDLE and STAR. medRxiv 2023:2023.09.07.23295205. [PMID: 37732261 PMCID: PMC10508807 DOI: 10.1101/2023.09.07.23295205] [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] [Indexed: 09/22/2023]
Abstract
INTRODUCTION Depressive symptoms are associated with higher risk of dementia but how they impact cognition in diverse populations is unclear. METHODS Asian, Black, LatinX, or White participants (n=2,227) in the Kaiser Healthy Aging and Diverse Life Experiences (age 65+) and the Study of Healthy Aging in African Americans (age 50+) underwent up to three waves of cognitive assessments over four years. Multilevel models stratified by race/ethnicity were used to examine whether depressive symptoms were associated with cognition or cognitive decline and whether associations differed by race/ethnicity. RESULTS Higher depressive symptoms were associated with lower baseline verbal episodic memory scores (-0.06, 95%CI: -0.12, -0.01; -0.15, 95%CI: -0.25, -0.04), and faster decline annually in semantic memory (-0.04, 95%CI: -0.07, -0.01; -0.10, 95%CI: -0.15, -0.05) for Black and LatinX participants. Depressive symptoms were associated with lower baseline but not decline in executive function. DISCUSSION Depressive symptoms were associated with worse cognitive domains, with some evidence of heterogeneity across racial/ethnic groups.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Emma L Gause
- Center for Climate and Health, Boston University School of Public Health, Boston, MA, USA
| | - Eleanor Hayes-Larson
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Emily P Morris
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Evan Fletcher
- Department of Neurology, University of California, Davis, CA, USA
| | - Jennifer Manly
- Department of Neurology, Columbia University, New York, NY, USA
| | - Paola Gilsanz
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Yenee Soh
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Maria Corrada
- Department of Epidemiology, University of California Irvine School of Medicine, Irvine, CA, USA
| | - Rachel A Whitmer
- Department of Public Health Sciences and Neurology, University of California Davis School of Medicine, Davis, CA, USA
| | - M Maria Glymour
- Department of Epidemiology, Boston University 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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Blas-Miranda NB, Lozada-Tequeanes AL, Miranda-Zuñiga JA, Jimenez MP. Green Space Exposure and Obesity in the Mexican Adult Population. Int J Environ Res Public Health 2022; 19:15072. [PMID: 36429792 PMCID: PMC9690096 DOI: 10.3390/ijerph192215072] [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] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Green space or natural vegetation may reduce obesity risk by increasing opportunities for physical activity or reducing stress and exposure to other pollutants. Obesity prevalence in Mexico is ranked among the highest in the world. However, research on the association between green space and obesity in Mexico is lacking. We used data from the National Nutrition Survey in Mexico (2018-2019), a nationally representative sample of Mexican adults. The analytical sample included participants between 20-59 years of age (n = 12,631). We assessed exposure to green space using a 30 m resolution Landsat satellite Normalized Difference Vegetation Index (NDVI) from 2018. Linear regression models examined associations between NDVI and body mass index (BMI), adjusting for confounders. The mean age of the study sample was 38 (SD 0.19) years. Participants living in areas with the highest green space exposure had the lowest education level (53.51%) and socioeconomic status (28.38%) and were located in central (33.01%), south (30.37%), and rural areas (21.05%). Higher residential exposure to green space was associated with a mean decrease in BMI of -1.1 kg/m2 (95% CI: -1.59, -0.68). This is one of the first studies in Latin America to suggest a protective association between green space and obesity among Mexican adults.
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Affiliation(s)
- Nabetse Baruc Blas-Miranda
- Nutrition and Health Research Center (CINyS), National Institute of Public Health of Mexico (INSP), Cuernavaca 62100, Mexico
| | - Ana Lilia Lozada-Tequeanes
- Nutrition and Health Research Center (CINyS), National Institute of Public Health of Mexico (INSP), Cuernavaca 62100, Mexico
- Research Center of Nutrition and Health, National Institute of Public Health, Av. Universidad 655, Col. Sta. Ma. Ahuacatitlán, Cuernavaca 62100, Mexico
| | | | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
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Hirsch JA, Michael YL, Moore KA, Melly S, Hughes TM, Hayden K, Luchsinger JA, Jimenez MP, James P, Besser LM, Sánchez B, Diez Roux AV. Longitudinal neighbourhood determinants with cognitive health and dementia disparities: protocol of the Multi-Ethnic Study of Atherosclerosis Neighborhoods and Aging prospective cohort study. BMJ Open 2022; 12:e066971. [PMID: 36368762 PMCID: PMC9660618 DOI: 10.1136/bmjopen-2022-066971] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION The burden of Alzheimer's disease (AD) and AD-related dementias (ADRD) is increasing nationally and globally, with disproportionate impacts on lower-income, lower education and systematically marginalised older adults. Presence of inequalities in neighbourhood factors (eg, social context, physical and built environments) may affect risk of cognitive decline and be key for intervening on AD/ADRD disparities at the population level. However, existing studies are limited by a dearth of longitudinal, detailed neighbourhood measures linked to rich, prospective cohort data. Our main objective is to identify patterns of neighbourhood change related to prevalence of-and disparities in-cognitive decline and dementia. METHODS AND ANALYSES We describe the process of collecting, processing and linking extensive neighbourhood data to the Multi-Ethnic Study of Atherosclerosis (MESA), creating a 25+ years dataset. Within the MESA parent study, the MESA Neighborhoods and Aging cohort study will characterise dynamic, longitudinal neighbourhood social and built environment variables relevant to cognition for residential addresses of MESA participants. This includes administering new surveys, expanding residential address histories, calculating new measures derived from spatial data and implementing novel deep learning algorithms on street-level imagery. Applying novel statistical techniques, we will examine associations of neighbourhood environmental characteristics with cognition and clinically relevant AD/ADRD outcomes. We will investigate determinants of disparities in outcomes by socioeconomic position and race/ethnicity and assess the contribution of neighbourhood environments to these disparities. This project will provide new evidence about pathways between neighbourhood environments and cognitive outcomes, with implications for policies to support healthy ageing. ETHICS AND DISSEMINATION This project was approved by the University of Washington and Drexel University Institutional Review Boards (protocols #00009029 and #00014523, and #180900605). Data will be distributed through the MESA Coordinating Center. Findings will be disseminated in peer-reviewed scientific journals, briefs, presentations and on the participant website.
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Affiliation(s)
- Jana A Hirsch
- Urban Health Collaborative and Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA
| | - Yvonne L Michael
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA
| | - Kari A Moore
- Urban Health Collaborative, Drexel University, Philadelphia, Pennsylvania, USA
| | - Steven Melly
- Urban Health Collaborative, Drexel University, Philadelphia, Pennsylvania, USA
| | - Timothy M Hughes
- Department of Internal Medicine, Medical Center Boulevard, Winston-Salem, Carolina, USA
| | - Kathleen Hayden
- Department of Social Sciences and Health Policy, Bowman Gray Center for Medical Education, Winston-Salem, Carolina, USA
| | - Jose A Luchsinger
- Department of Medicine, Columbia University, New York, New York, USA
| | - Marcia P Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Lilah M Besser
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Brisa Sánchez
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA
| | - Ana V Diez Roux
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA
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Jimenez MP, Suel E, Rifas-Shiman SL, Hystad P, Larkin A, Hankey S, Just AC, Redline S, Oken E, James P. Street-view greenspace exposure and objective sleep characteristics among children. Environ Res 2022; 214:113744. [PMID: 35760115 PMCID: PMC9930007 DOI: 10.1016/j.envres.2022.113744] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 03/18/2022] [Revised: 05/19/2022] [Accepted: 06/19/2022] [Indexed: 05/19/2023]
Abstract
Greenspace may benefit sleep by enhancing physical activity, reducing stress or air pollution exposure. Studies on greenspace and children's sleep are limited, and most use satellite-derived measures that do not capture ground-level exposures that may be important for sleep. We examined associations of street view imagery (SVI)-based greenspace with sleep in Project Viva, a Massachusetts pre-birth cohort. We used deep learning algorithms to derive novel metrics of greenspace (e.g., %trees, %grass) from SVI within 250m of participant residential addresses during 2007-2010 (mid-childhood, mean age 7.9 years) and 2012-2016 (early adolescence, 13.2y) (N = 533). In early adolescence, participants completed >5 days of wrist actigraphy. Sleep duration, efficiency, and time awake after sleep onset (WASO) were derived from actigraph data. We used linear regression to examine cross-sectional and prospective associations of mid-childhood and early adolescence greenspace exposure with early adolescence sleep, adjusting for confounders. We compared associations with satellite-based greenspace (Normalized Difference Vegetation Index, NDVI). In unadjusted models, mid-childhood SVI-based total greenspace and %trees (per interquartile range) were associated with longer sleep duration at early adolescence (9.4 min/day; 95%CI:3.2,15.7; 8.1; 95%CI:1.7,14.6 respectively). However, in fully adjusted models, only the association between %grass at mid-childhood and WASO was observed (4.1; 95%CI:0.2,7.9). No associations were observed between greenspace and sleep efficiency, nor in cross-sectional early adolescence models. The association between greenspace and sleep differed by racial and socioeconomic subgroups. For example, among Black participants, higher NDVI was associated with better sleep, in neighborhoods with low socio-economic status (SES), higher %grass was associated with worse sleep, and in neighborhoods with high SES, higher total greenspace and %grass were associated with better sleep time. SVI metrics may have the potential to identify specific features of greenspace that affect sleep.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Esra Suel
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Steve Hankey
- School of Public and International Affairs, Virginia Tech University, Blacksburg, VA, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan Redline
- Brigham and Women's Faulkner Hospital, Sleep Medicine and Endocrinology Center, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, 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
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Jimenez MP, Gutierrez TB, Soria-Contreras DC, Abdel Magid HS, Kaufman JS, Committee of the Society for Epidemiologic Research OBOTDAI. Increasing Representation of Epidemiologists From Around the World in the Society for Epidemiologic Research: The Case of Mexico. Am J Epidemiol 2022; 191:1842-1846. [PMID: 35896787 PMCID: PMC9767647 DOI: 10.1093/aje/kwac127] [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: 02/11/2022] [Revised: 07/13/2022] [Accepted: 07/19/2022] [Indexed: 02/01/2023] Open
Abstract
Mexico has a population of 129 million and is considered one of the most unequal countries in the world, suffering from widespread health disparities. There is a pressing need to strengthen epidemiologic capacity in Mexico, to help solve the complex health problems the country faces and to reduce health inequities. However, the representation of Mexican epidemiologists in the largest epidemiologic society in North America is low, despite the short distance to the United States. In this commentary, we discuss the barriers to higher representation of Mexican epidemiologists within the Society for Epidemiologic Research (SER), including language barriers, costs, and regional necessities. We also discuss opportunities to expand Mexican SER representation and collaboration. Overall, we hope that this is a call towards expanding SER global participation and starting a conversation on a common agenda for epidemiologic research.
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Affiliation(s)
- Marcia P Jimenez
- Correspondence to Dr. Marcia P. Jimenez, Department of Epidemiology, School of Public Health, Boston University, 715 Albany Street, Boston, MA 02118 (e-mail: )
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Jay J, de Jong J, Jimenez MP, Nguyen Q, Goldstick J. Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning. Inj Prev 2022; 28:249-255. [PMID: 34876475 PMCID: PMC8662662 DOI: 10.1136/injuryprev-2021-044412] [Citation(s) in RCA: 2] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/12/2021] [Indexed: 01/13/2023]
Abstract
PURPOSE Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm violence using a novel approach that combined machine learning and aerial imagery. METHODS Outcomes were annual counts of fatal and non-fatal shootings in Rochester, New York, from 2000 to 2020. Treatment was demolitions conducted from 2009 to 2019. Units of analysis were 152×152 m grid squares. We used a difference-in-differences approach to test effects: (A) the year after each demolition and (B) as demolitions accumulated over time. As moderators, we used a built environment typology generated by extracting information from aerial imagery using convolutional neural networks, a deep learning approach, combined with k-means clustering. We stratified our main models by built environment cluster to test for moderation. RESULTS One demolition was associated with a 14% shootings reduction (incident rate ratio (IRR)=0.86, 95% CI 0.83 to 0.90, p<0.001) the following year. Demolitions were also associated with a long-term, 2% reduction in shootings per year for each cumulative demolition (IRR=0.98, 95% CI 0.95 to 1.00, p=0.02). In the stratified models, densely built areas with higher street connectivity displayed following-year effects, but not long-term effects. Areas with lower density and larger parcels displayed long-term effects but not following-year effects. CONCLUSIONS The built environment might influence the magnitude and duration of the effects of demolitions on firearm violence. Policymakers may consider complementary programmes to help sustain these effects in high-density areas.
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Affiliation(s)
- Jonathan Jay
- Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Jorrit de Jong
- Harvard University John F Kennedy School of Government, Cambridge, Massachusetts, USA
| | - Marcia P Jimenez
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Quynh Nguyen
- Department of Epidemiology and Biostatistics, University of Maryland at College Park, College Park, Maryland, USA
| | - Jason Goldstick
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA
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Brochu P, Jimenez MP, James P, Kinney PL, Lane K. Benefits of Increasing Greenness on All-Cause Mortality in the Largest Metropolitan Areas of the United States Within the Past Two Decades. Front Public Health 2022; 10:841936. [PMID: 35619828 PMCID: PMC9127575 DOI: 10.3389/fpubh.2022.841936] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/14/2022] [Indexed: 01/13/2023] Open
Abstract
Across the United States, cities are creating sustainability and climate action plans (CAPs) that call to increase local vegetation. These greening initiatives have the potential to not only benefit the environment but also human health. In epidemiologic literature, greenness has a protective effect on mortality through various direct and indirect pathways. We aimed to assess how an increase in greenness could decrease mortality in the largest urban areas in the United States. We conducted a nationwide quantitative health impact assessment to estimate the predicted reduction in mortality associated with an increase in greenness across two decades (2000, 2010, and 2019). Using a recently published exposure-response function, Landsat 30 m 16-day satellite imagery from April to September, and publicly available county-level mortality data from the CDC, we calculated the age-adjusted reduction in all-cause mortality for those 65 years and older within 35 of the most populated metropolitan areas. We estimated that between 34,000 and 38,000 all-cause deaths could have been reduced in 2000, 2010, and 2019 with a local increase in green vegetation by 0.1 unit across the most populated metropolitan areas. We found that overall greenness increased across time with a 2.86% increase from 2000 to 2010 to 11.11% from 2010 to 2019. These results can be used to support CAPs by providing a quantitative assessment to the impact local greening initiatives can have on mortality. Urban planners and local governments can use these findings to calculate the co-benefits of local CAPs through a public health lens and support policy development.
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Affiliation(s)
- Paige Brochu
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States,*Correspondence: Paige Brochu
| | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States
| | - Peter James
- Department of Population Medicine, Harvard Medical School, 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
| | - Patrick L. Kinney
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States
| | - Kevin Lane
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, United States
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Jimenez MP, Elliott EG, DeVille NV, Laden F, Hart JE, Weuve J, Grodstein F, James P. Residential Green Space and Cognitive Function in a Large Cohort of Middle-Aged Women. JAMA Netw Open 2022; 5:e229306. [PMID: 35476063 PMCID: PMC9047638 DOI: 10.1001/jamanetworkopen.2022.9306] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/10/2022] [Indexed: 01/13/2023] Open
Abstract
Importance Green space can decelerate cognitive decline by supporting physical activity, psychological restoration, or reducing exposure to air pollution. However, existing studies on the association of green space with cognitive decline are limited. Objective To examine whether residential green space was associated with cognitive function in middle-aged women. Design, Setting, and Participants Starting in 1989, the Nurses' Health Study II enrolled 116 429 female nurses aged 25 to 42 years residing in the US. In 2014 to 2016, 40 082 women were invited to complete an online cognitive battery. This cohort study analyzed women who had data on both green space exposure and cognitive measures. Data analysis was conducted from June to October 2021. Exposures Residential exposure to green space was assessed using the Normalized Difference Vegetation Index, a satellite-derived indicator of the quantity of ground vegetation. Landsat satellite data at 270-m and 1230-m buffers around each participants' residential addresses in 2013 were used. Main Outcomes and Measures In 2014 to 2016, cognitive function was measured using a self-administered online battery, the Cogstate Brief Battery, consisting of 4 tasks measuring psychomotor speed, attention, learning, and working memory; 3 composite scores, averaging together all tasks, psychomotor speed/attention, and learning/working memory, were created. In addition, the study evaluated potential mediators, including air pollution, depression, and physical activity. Results The analytical sample included 13 594 women, of whom 13 293 (98%) were White. Mean (SD) age was 61.2 (4.6) years. In models adjusted for age at assessment, race, childhood, adulthood, and neighborhood socioeconomic status, green space was associated with higher scores on the global Cogstate composite (mean difference per IQR in green space, 0.05; 95% CI, 0.02 to 0.07), and psychomotor speed/attention (mean difference in score, 0.05 standard units; 95% CI, 0.02 to 0.08). This difference in scores is similar to the difference observed in women 1 year apart in age in the data. By contrast, there was no association between green space and learning/working memory (mean difference, 0.0300; 95% CI, -0.0003 to 0.0500). Conclusions and Relevance These findings suggest that increasing residential green space may be associated with modest benefits in cognition in middle-aged women.
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Affiliation(s)
- Marcia P. Jimenez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Now with Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Elise G. Elliott
- 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, Harvard Medical School, Boston, Massachusetts
| | - Nicole V. DeVille
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Francine Laden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- 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, Harvard Medical School, 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, Harvard Medical School, Boston, Massachusetts
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Francine Grodstein
- Department of Internal Medicine, Rush Medical College, Rush Alzheimer’s Disease Center, Chicago, Illinois
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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11
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Jimenez MP, Shoaff J, Kioumourtzoglou MA, Korrick S, Rifas-Shiman SL, Hivert MF, Oken E, James P. Early-Life Exposure to Green Space and Mid-Childhood Cognition in the Project Viva Cohort, Massachusetts. Am J Epidemiol 2022; 191:115-125. [PMID: 34308473 PMCID: PMC8897997 DOI: 10.1093/aje/kwab209] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 08/21/2020] [Revised: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 12/14/2022] Open
Abstract
The association between early-life greenness and child cognition is not well understood. Using prospective data from Project Viva (n = 857) from 1999-2010, we examined associations of early-life greenness exposure with mid-childhood cognition. We estimated residential greenness at birth, early childhood (median age 3.1 years), and mid-childhood (7.8 years) using 30-m resolution Landsat satellite imagery (normalized difference vegetation index). In early childhood and mid-childhood, we administered standardized assessments of verbal and nonverbal intelligence, visual-motor abilities, and visual memory. We used natural splines to examine associations of early life-course greenness with mid-childhood cognition, adjusting for age, sex, race, income, neighborhood socioeconomic status, maternal intelligence, and parental education. At lower levels of greenness (greenness <0.6), greenness exposure at early childhood was associated with a 0.48% increase in nonverbal intelligence and 2.64% increase in visual memory in mid-childhood. The association between early-childhood greenness and mid-childhood visual memory was observed after further adjusting for early childhood cognition and across different methodologies, while the association with nonverbal intelligence was not. No other associations between early life-course greenness and mid-childhood cognition were found. Early childhood greenness was nonlinearly associated with higher mid-childhood visual memory. Our findings highlight the importance of nonlinear associations between greenness and cognition.
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Affiliation(s)
- Marcia P Jimenez
- Correspondence to Dr. Marcia P. Jimenez, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Landmark Center 401 Park Drive, Boston, MA 02215 (e-mail: )
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12
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Zagnoli F, Filippini T, Jimenez MP, Wise LA, Hatch EE, Vinceti M. Is Greenness Associated with Dementia? A Systematic Review and Dose-Response Meta-analysis. Curr Environ Health Rep 2022; 9:574-590. [PMID: 35857243 PMCID: PMC9729322 DOI: 10.1007/s40572-022-00365-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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] [Accepted: 05/16/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW We assessed the relation between environmental greenness and risk of dementia and cognitive impairment, based on a systematic review and meta-analysis up to March 30, 2022, characterizing whenever possible the shape of the association using dose-response meta-analysis. RECENT FINDINGS Twelve studies were included in this review, either using normalized difference vegetation index (NDVI) or land use/cover (LU/LC) methodology to assess greenness. Comparing the highest versus lowest exposure categories of greenness assessed using the NDVI (6 studies) or LU/LC (6 studies), we found no association with dementia. Dose-response meta-analysis of the association between greenness measured by LU/LC and dementia, based on only 3 studies, indicated a U-shaped association, but estimates were imprecise. Our systematic review and meta-analysis provided some evidence of a slight inverse association between greenness and dementia at intermediate exposure levels, but not at high levels. Potential methodological limitations, such as exposure misclassification and unmeasured confounding, may have affected the results.
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Affiliation(s)
- Federico Zagnoli
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy ,School of Public Health, University of California Berkeley, Berkeley, CA 94704 USA
| | - Marcia P. Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia Medical School, 287 Via Campi, 41125 Modena, Italy ,Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118 USA
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13
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Jimenez MP, Aris IM, Rifas-Shiman S, Young J, Tiemeier H, Hivert MF, Oken E, James P. Early life exposure to greenness and executive function and behavior: An application of inverse probability weighting of marginal structural models. Environ Pollut 2021; 291:118208. [PMID: 34740291 PMCID: PMC9208930 DOI: 10.1016/j.envpol.2021.118208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 04/01/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 05/04/2023]
Abstract
Increasingly, studies suggest benefits of natural environments or greenness on children's health. However, little is known about cumulative exposure or windows of susceptibility to greenness exposure. Using inverse probability weighting of marginal structural models (IPW/MSM), we estimated effects of greenness exposure from birth through adolescence on executive function and behavior. We analyzed data of 908 children from Project Viva enrolled at birth in 1999-2002 and followed up until early adolescence. In mid-childhood (median 7.7 years) and early adolescence (13.1 years), executive function and behavior were assessed using the Behavior Rating Inventory of Executive Function and the Strengths and Difficulties Questionnaire (SDQ). Greenness was measured at birth, early childhood, mid-childhood, and early adolescence, using the Normalized Difference Vegetation Index. We used inverse probability weighting of marginal structural models to estimate effects of interventions that ensure maximum greenness exposure versus minimum through all intervals; and that ensure maximum greenness only in early childhood (vs. minimum through all intervals). Results of the effects of "maximum (vs. minimum) greenness at all timepoints" did not suggest associations with mid-childhood outcomes. Estimates of "maximum greenness only in early childhood (vs. minimum)" suggested a beneficial association with mid-childhood SDQ (-3.21, 99 %CI: -6.71,0.29 mother-rated; -4.02, 99 %CI: -7.87,-0.17 teacher-rated). No associations were observed with early adolescent outcomes. Our results for "persistent" maximum greenness exposure on behavior, were not conclusive with confidence intervals containing the null. The results for maximum greenness "only in early childhood" may shed light on sensitive periods of greenness exposure for behavior regulation.
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Affiliation(s)
- Marcia P Jimenez
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - 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, MA, USA.
| | - Sheryl Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Jessica Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Henning Tiemeier
- Department of Epidemiology, 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.
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, 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.
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14
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Romanello M, McGushin A, Di Napoli C, Drummond P, Hughes N, Jamart L, Kennard H, Lampard P, Solano Rodriguez B, Arnell N, Ayeb-Karlsson S, Belesova K, Cai W, Campbell-Lendrum D, Capstick S, Chambers J, Chu L, Ciampi L, Dalin C, Dasandi N, Dasgupta S, Davies M, Dominguez-Salas P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Georgeson L, Grace D, Graham H, Gunther SH, Hartinger S, He K, Heaviside C, Hess J, Hsu SC, Jankin S, Jimenez MP, Kelman I, Kiesewetter G, Kinney PL, Kjellstrom T, Kniveton D, Lee JKW, Lemke B, Liu Y, Liu Z, Lott M, Lowe R, Martinez-Urtaza J, Maslin M, McAllister L, McMichael C, Mi Z, Milner J, Minor K, Mohajeri N, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Obradovich N, Sewe MO, Oreszczyn T, Otto M, Owfi F, Pearman O, Pencheon D, Rabbaniha M, Robinson E, Rocklöv J, Salas RN, Semenza JC, Sherman J, Shi L, Springmann M, Tabatabaei M, Taylor J, Trinanes J, Shumake-Guillemot J, Vu B, Wagner F, Wilkinson P, Winning M, Yglesias M, Zhang S, Gong P, Montgomery H, Costello A, Hamilton I. The 2021 report of the Lancet Countdown on health and climate change: code red for a healthy future. Lancet 2021; 398:1619-1662. [PMID: 34687662 DOI: 10.1016/s0140-6736(21)01787-6] [Citation(s) in RCA: 410] [Impact Index Per Article: 136.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/20/2021] [Accepted: 07/29/2021] [Indexed: 01/19/2023]
Affiliation(s)
- Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Claudia Di Napoli
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Nick Hughes
- Institute for Sustainable Resources, University College London, London, UK
| | - Louis Jamart
- Institute for Global Health, University College London, London, UK
| | - Harry Kennard
- UCL Energy Institute, University College London, London, UK
| | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | | | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | - Sonja Ayeb-Karlsson
- Institute for Environment and Human Security, United Nations University, Bonn, Germany
| | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Diarmid Campbell-Lendrum
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Stuart Capstick
- Centre for Climate Change and Social Transformations, School of Psychology, Cardiff University, Cardiff, UK
| | - Jonathan Chambers
- Institute for Environmental Sciences, World Health Organization, Geneva, Switzerland
| | - Lingzhi Chu
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Luisa Ciampi
- The Walker Institute, University of Reading, Reading, UK
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Economic analysis of Climate Impacts and Policy, Centro Euro-Mediterraneo sui Cambiamenti Climatici, Venice, Italy
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | | | - Robert Dubrow
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Matthew Eckelman
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Delia Grace
- Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Health Sciences, University of York, York, UK
| | - Samuel H Gunther
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Stella Hartinger
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Kehan He
- The Bartlett School of Sustainable Construction, University College London, London, UK
| | - Clare Heaviside
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Jeremy Hess
- Centre for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Shih-Che Hsu
- UCL Energy Institute, University College London, London, UK
| | - Slava Jankin
- Data Science Lab, Hertie School, Berlin, Germany
| | - Marcia P Jimenez
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Patrick L Kinney
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Jason K W Lee
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Center for Energy Markets, Technical University of Munich, Munich, Germany
| | - Celia McMichael
- School of Geography, Earth and Atmospheric Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Zhifu Mi
- The Bartlett School of Sustainable Construction, University College London, London, UK
| | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Kelton Minor
- Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Nahid Mohajeri
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- Department of Technology, Management and Economics, Technical University of Denmark, Copenhagen, Denmark
| | | | - Kris A Murray
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, UK; MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Fajara, The Gambia
| | - Tara Neville
- Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Nick Obradovich
- Centre for Humans and Machines, Max Planck Institute for Human Development, Berlin, Germany
| | - Maquins Odhiambo Sewe
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tadj Oreszczyn
- UCL Energy Institute, University College London, London, UK
| | - Matthias Otto
- Department of Arts, Media & Digital Technologies, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Cooperative Institute of Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
| | - David Pencheon
- College of Medicine and Health, Exeter University, Exeter, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Renee N Salas
- Harvard Medical School, Harvard University, Boston, MA, USA
| | | | - Jodi Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Meisam Tabatabaei
- Higher Institution Centre of Excellence, Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Joaquin Trinanes
- Department of Electronics and Computer Science, Universidade de Santiago de Compostela, Santiago, Spain
| | | | - Bryan Vu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Fabian Wagner
- Air Quality and Greenhouse Gases Programme, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Marisol Yglesias
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Shihui Zhang
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Peng Gong
- Department of Geography, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hugh Montgomery
- Centre for Human Health and Performance, University College London, London, UK
| | - Anthony Costello
- Institute for Global Health, University College London, London, UK
| | - Ian Hamilton
- UCL Energy Institute, University College London, London, UK.
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Iyer HS, DeVille NV, Stoddard O, Cole J, Myers SS, Li H, Elliott EG, Jimenez MP, James P, Golden CD. Sustaining planetary health through systems thinking: Public health's critical role. SSM Popul Health 2021; 15:100844. [PMID: 34179331 PMCID: PMC8213960 DOI: 10.1016/j.ssmph.2021.100844] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/19/2021] [Accepted: 06/08/2021] [Indexed: 01/07/2023] Open
Abstract
Understanding and responding to adverse human health impacts of global environmental change will be a major priority of 21st century public health professionals. The emerging field of planetary health aims to face this challenge by studying and promoting policies that protect the health of humans and of the Earth's natural systems that support them. Public health, drawing on its experience of guiding policies to improve population health, has contributed to planetary health's development. Yet, few public health practitioners are familiar with planetary health's systems-oriented approaches for understanding relationships between economic development, environmental degradation, and human health. In this narrative review, we present key planetary health concepts and show how systems thinking has guided its development. We discuss historical approaches to studying impacts of economic development on human health and the environment. We then review novel conceptual frameworks adopted by planetary health scientists to study and forecast impacts of policies that influence human health and Earth's natural systems at varying spatiotemporal scales. We conclude by presenting examples of how applying the "Doughnut" model (an economic framework where the needs of people are met without overshooting the world's ecological limits) could guide policies for promoting health co-benefits to humans and natural systems.
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Affiliation(s)
- Hari S. Iyer
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA,Corresponding author. Division of Population Sciences Dana-Farber Cancer Institute, USA.
| | - Nicole V. DeVille
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA,Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA
| | - Olivia Stoddard
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jennifer Cole
- Geography Department, Royal Holloway University of London and Royal United Services Institute, London, United Kingdom
| | - Samuel S. Myers
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Huichu Li
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Elise G. Elliott
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, USA,Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Marcia P. Jimenez
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA,Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA,Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Christopher D. Golden
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA,Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
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16
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Jimenez MP, DeVille NV, Elliott EG, Schiff JE, Wilt GE, Hart JE, James P. Associations between Nature Exposure and Health: A Review of the Evidence. Int J Environ Res Public Health 2021; 18:ijerph18094790. [PMID: 33946197 PMCID: PMC8125471 DOI: 10.3390/ijerph18094790] [Citation(s) in RCA: 112] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/22/2021] [Accepted: 04/26/2021] [Indexed: 01/13/2023]
Abstract
There is extensive empirical literature on the association between exposure to nature and health. In this narrative review, we discuss the strength of evidence from recent (i.e., the last decade) experimental and observational studies on nature exposure and health, highlighting research on children and youth where possible. We found evidence for associations between nature exposure and improved cognitive function, brain activity, blood pressure, mental health, physical activity, and sleep. Results from experimental studies provide evidence of protective effects of exposure to natural environments on mental health outcomes and cognitive function. Cross-sectional observational studies provide evidence of positive associations between nature exposure and increased levels of physical activity and decreased risk of cardiovascular disease, and longitudinal observational studies are beginning to assess long-term effects of nature exposure on depression, anxiety, cognitive function, and chronic disease. Limitations of current knowledge include inconsistent measures of exposure to nature, the impacts of the type and quality of green space, and health effects of duration and frequency of exposure. Future directions include incorporation of more rigorous study designs, investigation of the underlying mechanisms of the association between green space and health, advancement of exposure assessment, and evaluation of sensitive periods in the early life-course.
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Affiliation(s)
- Marcia P. Jimenez
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA;
- Correspondence: (M.P.J.); (N.V.D.)
| | - Nicole V. DeVille
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02215, USA; (E.G.E.); (J.E.H.)
- Correspondence: (M.P.J.); (N.V.D.)
| | - Elise G. Elliott
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02215, USA; (E.G.E.); (J.E.H.)
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA; (J.E.S.); (G.E.W.)
| | - Jessica E. Schiff
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA; (J.E.S.); (G.E.W.)
| | - Grete E. Wilt
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA; (J.E.S.); (G.E.W.)
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02215, USA; (E.G.E.); (J.E.H.)
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA; (J.E.S.); (G.E.W.)
| | - Peter James
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA;
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02215, USA; (E.G.E.); (J.E.H.)
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02215, USA; (J.E.S.); (G.E.W.)
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17
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Aris IM, Rifas-Shiman SL, Jimenez MP, Li LJ, Hivert MF, Oken E, James P. Neighborhood Child Opportunity Index and Adolescent Cardiometabolic Risk. Pediatrics 2021; 147:peds.2020-018903. [PMID: 33479165 PMCID: PMC7906069 DOI: 10.1542/peds.2020-018903] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [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] [Accepted: 10/27/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND AND OBJECTIVES The Child Opportunity Index (ChOI) is a publicly available surveillance tool that incorporates traditional and novel attributes of neighborhood conditions that may promote or inhibit healthy child development. The extent to which ChOI relates to individual-level cardiometabolic risk remains unclear. METHODS We geocoded residential addresses obtained from 743 participants in midchildhood (mean age 7.9 years) in Project Viva, a prebirth cohort from eastern Massachusetts, and linked each location with census tract-level ChOI data. We measured adiposity and cardiometabolic outcomes in midchildhood and early adolescence (mean age 13.1 years) and analyzed their associations with neighborhood-level ChOI in midchildhood using mixed-effects models, adjusting for individual and family sociodemographics. RESULTS On the basis of nationwide distributions of ChOI, 11.2% (n = 83) of children resided in areas of very low overall opportunity (ChOI score <20 U) and 55.3% (n = 411) resided in areas of very high (ChOI score ≥80 U) overall opportunity. Children who resided in areas with higher overall opportunity in midchildhood had persistently lower levels of C-reactive protein from midchildhood to early adolescence (per 25-U increase in ChOI score: β = .14 mg/L; 95% confidence interval, .28 to .00). Additionally, certain ChOI indicators, such as greater number of high-quality childhood education centers, greater access to healthy food, and greater proximity to employment in midchildhood, were associated with persistently lower adiposity, C-reactive protein levels, insulin resistance, and metabolic risk z scores from midchildhood to early adolescence. CONCLUSIONS Our findings suggest more favorable neighborhood opportunities in midchildhood predict better cardiometabolic health from midchildhood to early adolescence.
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Affiliation(s)
- 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, Massachusetts
| | - 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, Massachusetts
| | - Marcia P. Jimenez
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, Massachusetts;,Departments of Epidemiology
| | - Ling-Jun Li
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; and
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, Massachusetts;,Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - 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, Massachusetts;,Nutrition, and
| | - 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, Massachusetts;,Environmental Health, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
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18
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Beagley J, Belesova K, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Capstick S, Chambers J, Coleman S, Dalin C, Daly M, Dasandi N, Dasgupta S, Davies M, Di Napoli C, Dominguez-Salas P, Drummond P, Dubrow R, Ebi KL, Eckelman M, Ekins P, Escobar LE, Georgeson L, Golder S, Grace D, Graham H, Haggar P, Hamilton I, Hartinger S, Hess J, Hsu SC, Hughes N, Jankin Mikhaylov S, Jimenez MP, Kelman I, Kennard H, Kiesewetter G, Kinney PL, Kjellstrom T, Kniveton D, Lampard P, Lemke B, Liu Y, Liu Z, Lott M, Lowe R, Martinez-Urtaza J, Maslin M, McAllister L, McGushin A, McMichael C, Milner J, Moradi-Lakeh M, Morrissey K, Munzert S, Murray KA, Neville T, Nilsson M, Sewe MO, Oreszczyn T, Otto M, Owfi F, Pearman O, Pencheon D, Quinn R, Rabbaniha M, Robinson E, Rocklöv J, Romanello M, Semenza JC, Sherman J, Shi L, Springmann M, Tabatabaei M, Taylor J, Triñanes J, Shumake-Guillemot J, Vu B, Wilkinson P, Winning M, Gong P, Montgomery H, Costello A. The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises. Lancet 2021; 397:129-170. [PMID: 33278353 DOI: 10.1016/s0140-6736(20)32290-x] [Citation(s) in RCA: 670] [Impact Index Per Article: 223.3] [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: 06/05/2020] [Revised: 08/03/2020] [Accepted: 08/04/2020] [Indexed: 01/18/2023]
Abstract
For the Chinese, French, German, and Spanish translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Nick Watts
- Institute for Global Health, University College London, London, UK.
| | - Markus Amann
- Air Quality and Greenhouse Gases Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Nigel Arnell
- Department of Meteorology, University of Reading, Reading, UK
| | - Sonja Ayeb-Karlsson
- Institute for Environment and Human Security, United Nations University, Bonn, Germany
| | - Jessica Beagley
- Institute for Global Health, University College London, London, UK
| | - Kristine Belesova
- Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Maxwell Boykoff
- Environmental Studies Program, University of Colorado Boulder, Boulder, CO, USA
| | - Peter Byass
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Wenjia Cai
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Diarmid Campbell-Lendrum
- Environment, Climate Change and Health Department, World Health Organization, Geneva, Switzerland
| | | | - Jonathan Chambers
- Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
| | - Samantha Coleman
- Institute for Global Health, University College London, London, UK
| | - Carole Dalin
- Institute for Sustainable Resources, University College London, London, UK
| | - Meaghan Daly
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Niheer Dasandi
- School of Government, University of Birmingham, Birmingham, UK
| | - Shouro Dasgupta
- Centro Euro-Mediterraneo sui Cambiamenti Climatici, Venice, Italy
| | - Michael Davies
- Institute for Environmental Design and Engineering, University College London, London, UK
| | - Claudia Di Napoli
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Paula Dominguez-Salas
- Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Paul Drummond
- Institute for Sustainable Resources, University College London, London, UK
| | - Robert Dubrow
- Yale Center on Climate Change and Health, Yale University, New Haven, CT, USA
| | - Kristie L Ebi
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Matthew Eckelman
- Department of Civil & Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Paul Ekins
- Institute for Sustainable Resources, University College London, London, UK
| | - Luis E Escobar
- Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | | | - Su Golder
- Department of Health Sciences, University of York, York, UK
| | - Delia Grace
- CGIAR Research Program on Agriculture for Human Nutrition and Health, International Livestock Research Institute, Nairobi, Kenya
| | - Hilary Graham
- Department of Environmental Studies, University of New England, Biddeford, ME, USA
| | - Paul Haggar
- School of Psychology, Cardiff University, Cardiff, UK
| | - Ian Hamilton
- Energy Institute, University College London, London, UK
| | - Stella Hartinger
- School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Jeremy Hess
- Center for Health and the Global Environment, University of Washington, Seattle, WA, USA
| | - Shih-Che Hsu
- Energy Institute, University College London, London, UK
| | - Nick Hughes
- Institute for Sustainable Resources, University College London, London, UK
| | | | - Marcia P Jimenez
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Ilan Kelman
- Institute for Global Health, University College London, London, UK
| | - Harry Kennard
- Energy Institute, University College London, London, UK
| | - Gregor Kiesewetter
- Air Quality and Greenhouse Gases Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Patrick L Kinney
- Department of Environmental Health, Boston University, Boston, MA, USA
| | - Tord Kjellstrom
- Health and Environment International Trust, Nelson, New Zealand
| | | | - Pete Lampard
- Department of Health Sciences, University of York, York, UK
| | - Bruno Lemke
- School of Health, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Yang Liu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Zhao Liu
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Melissa Lott
- Center on Global Energy Policy, Columbia University, New York, NY, USA
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jaime Martinez-Urtaza
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mark Maslin
- Department of Geography, University College London, London, UK
| | - Lucy McAllister
- Center for Energy Markets, Technical University of Munich, Munich, Germany
| | - Alice McGushin
- Institute for Global Health, University College London, London, UK
| | - Celia McMichael
- School of Geography, University of Melbourne, Melbourne, VIC, Australia
| | - James Milner
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Maziar Moradi-Lakeh
- Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Karyn Morrissey
- European Centre for Environment and Human Health, University of Exeter, Exeter, UK
| | | | - Kris A Murray
- Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, UK; Medical Research Council Unit The Gambia at London School of Hygiene & Tropical Medicine, Bakau, The Gambia
| | - Tara Neville
- Environment, Climate Change and Health Department, World Health Organization, Geneva, Switzerland
| | - Maria Nilsson
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | | | | | - Matthias Otto
- Department of Arts, Media and Digital Technologies, Nelson Marlborough Institute of Technology, Nelson, New Zealand
| | - Fereidoon Owfi
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Olivia Pearman
- Environmental Studies Program, University of Colorado Boulder, Boulder, CO, USA
| | - David Pencheon
- Medical and Health School, University of Exeter, Exeter, UK
| | - Ruth Quinn
- Department of Civil and Structural Engineering, University of Sheffield, Sheffield, UK
| | - Mahnaz Rabbaniha
- Iranian Fisheries Science Research Institute, Agricultural Research, Education, and Extension Organisation, Tehran, Iran
| | - Elizabeth Robinson
- School of Agriculture, Policy, and Development, University of Reading, Reading, UK
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - Jan C Semenza
- Scientific Assessment Section, European Centre for Disease Prevention and Control, Solna, Sweden
| | - Jodi Sherman
- Department of Anesthesiology, Yale University, New Haven, CT, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Atlanta, GA, USA
| | | | - Meisam Tabatabaei
- Institute of Tropical Aquaculture and Fisheries, Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Jonathon Taylor
- Department of Civil Engineering, Tampere University, Tampere, Finland
| | - Joaquin Triñanes
- Department of Electronics and Computer Science, CRETUS Institute, Universidade de Santiago de Compostela, Santiago, Spain
| | | | - Bryan Vu
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Paul Wilkinson
- Department of Public Health, Environments, and Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Matthew Winning
- Institute for Sustainable Resources, University College London, London, UK
| | - Peng Gong
- Department of Earth System Science, Tsinghua University, Beijing, China
| | - Hugh Montgomery
- Institute for Human Health and Performance, University College London, London, UK
| | - Anthony Costello
- Office of the Vice Provost for Research, University College London, London, UK
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Kim R, Lippert AM, Wedow R, Jimenez MP, Subramanian SV. The Relative Contributions of Socioeconomic and Genetic Factors to Variations in Body Mass Index Among Young Adults. Am J Epidemiol 2020; 189:1333-1341. [PMID: 32286605 DOI: 10.1093/aje/kwaa058] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 04/04/2020] [Accepted: 04/08/2020] [Indexed: 11/14/2022] Open
Abstract
In light of recent findings on the small proportion of variance in body mass index (BMI) explained by shared environment, and growing interests in the role of genetic susceptibility, we assessed the relative contribution of socioeconomic status (SES) and genome-wide polygenic score for BMI to explaining variation in BMI. Our final analytic sample included 4,918 White and 1,546 Black individuals from the US National Longitudinal Study of Adolescent to Adult Health Wave IV (2007-2008) who had complete measures on BMI, demographics, SES, genetic data, and health behaviors. We used ordinary least-squares regression to assess variation in log(BMI) as a function of the aforementioned predictors, independently and mutually adjusted. All analyses were stratified by race/ethnicity in the main analysis, and further by sex. The age-adjusted variation in log(BMI) was 0.055 among Whites and 0.066 among Blacks. The contribution of SES and polygenic score ranged from less than1% to 6% and from 2% to 8%, respectively, and majority of the variation (87%-96%) in log(BMI) remained unexplained. Differential distribution of socioeconomic resources, stressors, and buffers may interact to produce systematically larger variation in vulnerable populations. More understanding of the contribution of biological, genetic, and environmental factors, as well as stochastic elements, in diverse phenotypic variance is needed in population health sciences.
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20
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Jimenez MP, Oken E, Gold DR, Luttmann-Gibson H, Requia WJ, Rifas-Shiman SL, Gingras V, Hivert MF, Rimm EB, James P. Early life exposure to green space and insulin resistance: An assessment from infancy to early adolescence. Environ Int 2020; 142:105849. [PMID: 32593049 PMCID: PMC7784302 DOI: 10.1016/j.envint.2020.105849] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [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: 03/18/2020] [Revised: 05/29/2020] [Accepted: 06/01/2020] [Indexed: 05/13/2023]
Abstract
BACKGROUND Recent studies suggest that greater exposure to natural vegetation, or "green space" is associated with lower diabetes risk, possibly through increasing physical activity. However, there is limited research on green space and insulin resistance in youth. We hypothesized greater green space at early-life sensitive time periods would be associated with lower insulin resistance in youth. METHODS We used data from Project Viva (N = 460), a pre-birth cohort study that recruited pregnant women in eastern Massachusetts, 1999-2002, and followed offspring into adolescence. We defined residential green space exposure at infancy (median age - 1.1 years), early childhood (3.2 years), mid-childhood (7.7 years), and early adolescence (12.8 years), using 30 m resolution Landsat satellite imagery to estimate the Normalized Difference Vegetation Index [NDVI]. Our main outcome was early adolescence estimated insulin resistance (HOMA-IR). We used multiple imputation to account for missing data and multiple linear regression models adjusted for age, sex, race/ethnicity, parental education, household income, and neighborhood median household income. RESULTS The highest green space tertile had the highest percentage of white participants (85%), college-educated mothers (87%) and fathers (85%), and households with income higher than US$70,000 (86%). Unadjusted models showed that participants living in the highest green space tertile at infancy had a 0.15 unit lower HOMA-IR (95% CI: -0.23, -0.06) in early adolescence, than those living in the lowest tertile. However, in adjusted models, we did not observe evidence of associations between green space from infancy to early adolescence and HOMA-IR in early adolescence, although some point estimates were in the hypothesized direction. For example, participants in the highest green space tertile in infancy had 0.03 units lower HOMA-IR (95%CI: -0.14, 0.08) than those living in the lowest tertile. CONCLUSIONS Exposure to green space at early life sensitive time periods was not associated with HOMA-IR in youth. Early-life longitudinal studies across diverse populations are needed to confirm or refute our results.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Diane R Gold
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Heike Luttmann-Gibson
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Weeberb J Requia
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Veronique Gingras
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, 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
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21
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Anenberg SC, Bindl M, Brauer M, Castillo JJ, Cavalieri S, Duncan BN, Fiore AM, Fuller R, Goldberg DL, Henze DK, Hess J, Holloway T, James P, Jin X, Kheirbek I, Kinney PL, Liu Y, Mohegh A, Patz J, Jimenez MP, Roy A, Tong D, Walker K, Watts N, West JJ. Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA-Supported Science-Stakeholder Collaborative. Geohealth 2020; 4:e2020GH000270. [PMID: 32642628 PMCID: PMC7334378 DOI: 10.1029/2020gh000270] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 05/29/2020] [Accepted: 06/02/2020] [Indexed: 05/18/2023]
Abstract
The 2018 NASA Health and Air Quality Applied Science Team (HAQAST) "Indicators" Tiger Team collaboration between NASA-supported scientists and civil society stakeholders aimed to develop satellite-derived global air pollution and climate indicators. This Commentary shares our experience and lessons learned. Together, the team developed methods to track wildfires, dust storms, pollen counts, urban green space, nitrogen dioxide concentrations and asthma burdens, tropospheric ozone concentrations, and urban particulate matter mortality. Participatory knowledge production can lead to more actionable information but requires time, flexibility, and continuous engagement. Ground measurements are still needed for ground truthing, and sustained collaboration over time remains a challenge.
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Affiliation(s)
- Susan C. Anenberg
- Milken Institute School of Public HealthGeorge Washington UniversityWashingtonDCUSA
| | - Matilyn Bindl
- Nelson Institute Center for Sustainability and the Global EnvironmentUniversity of WisconsinMadisonWIUSA
| | - Michael Brauer
- School of Population and Public HealthThe University of British ColumbiaVancouverBritish ColumbiaCanada
- Institute for Health Metrics and EvaluationUniversity of WashingtonSeattleWAUSA
| | - Juan J. Castillo
- Clean Air InstituteWashingtonDCUSA
- Now at Pan‐American Health OrganizationWashingtonDCUSA
| | - Sandra Cavalieri
- Climate and Clean Air Coalition to Reduce Short‐Lived Climate PollutantsWashingtonDCUSA
| | | | - Arlene M. Fiore
- Lamont‐Doherty Earth ObservatoryColumbia UniversityPalisadesNYUSA
| | | | - Daniel L. Goldberg
- Milken Institute School of Public HealthGeorge Washington UniversityWashingtonDCUSA
| | - Daven K. Henze
- College of Engineering and Applied ScienceUniversity of Colorado BoulderBoulderCOUSA
| | - Jeremy Hess
- Department of Environmental and Occupational Health SciencesUniversity of WashingtonSeattleWAUSA
| | - Tracey Holloway
- Nelson Institute Center for Sustainability and the Global EnvironmentUniversity of WisconsinMadisonWIUSA
| | - Peter James
- James T.H. Chan School of Public HealthHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Xiaomeng Jin
- Lamont‐Doherty Earth ObservatoryColumbia UniversityPalisadesNYUSA
| | | | - Patrick L. Kinney
- School of Public HealthBoston University School of Public HealthBostonMAUSA
| | - Yang Liu
- Rollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Arash Mohegh
- Milken Institute School of Public HealthGeorge Washington UniversityWashingtonDCUSA
| | - Jonathan Patz
- Nelson Institute Center for Sustainability and the Global EnvironmentUniversity of WisconsinMadisonWIUSA
| | - Marcia P. Jimenez
- James T.H. Chan School of Public HealthHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Ananya Roy
- Environmental Defense FundWashingtonDCUSA
| | - Daniel Tong
- Center for Spatial Science and SystemsGeorge Mason UniversityFairfaxVAUSA
| | | | - Nick Watts
- Lancet CountdownUniversity College LondonLondonUK
| | - J. Jason West
- Gillings School of Global Public HealthUniversity of North Carolina at Chapel HillChapel HillNCUSA
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Jimenez MP, Wellenius GA, James P, Subramanian SV, Buka S, Eaton C, Gilman SE, Loucks EB. Associations of types of green space across the life-course with blood pressure and body mass index. Environ Res 2020; 185:109411. [PMID: 32240843 PMCID: PMC9993347 DOI: 10.1016/j.envres.2020.109411] [Citation(s) in RCA: 8] [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: 07/09/2019] [Revised: 03/17/2020] [Accepted: 03/18/2020] [Indexed: 05/17/2023]
Abstract
Green space has been associated with better health and well-being. However, most studies have been cross-sectional with limited long-term exposure data. Further, research is limited in what type of green space is beneficial for health. We conducted a longitudinal study to assess sensitive periods (birth, childhood or adulthood) of exposure to different types of green space in association with adult blood pressure and body mass index (BMI). Using longitudinal data from the New England Family Study (1960-2000) and multilevel regression analysis, we examined associations between time-varying markers of residential exposure to green space, and adult BMI, systolic (SBP) and diastolic blood pressure (DBP) (N = 517). We created three exposure metrics: distance, average area, and green space count in the neighborhood throughout the life-course. In adjusted models, living one mile farther away from a green space at birth was associated with a 5.6 mmHg higher adult SBP (95%CI: 0.7, 10.5), and 3.5 mmHg higher DBP (95%CI: 0.3, 6.8). One more green space in the neighborhood at birth was also associated with lower DBP (-0.2 mmHg, 95%CI: -0.4, -0.02) in adulthood. Finally, average area of green space was not associated with SBP, DBP nor BMI. Analysis by type of green space suggested that parks may be more relevant than playgrounds, cemeteries or golf courses. Our study suggests that the perinatal period may be a critical time-period where living closer to green spaces may lower hypertension risk in adulthood, but not obesity.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, 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
| | - S V Subramanian
- Department of Social and Behavioral Sciences, Harvard T.H, Chan School of Public Health, USA
| | - Stephen Buka
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Charles Eaton
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Department of Family Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Stephen E Gilman
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eric B Loucks
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
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Gilman SE, Huang YT, Jimenez MP, Agha G, Chu SH, Eaton CB, Goldstein RB, Kelsey KT, Buka SL, Loucks EB. Early life disadvantage and adult adiposity: tests of sensitive periods during childhood and behavioural mediation in adulthood. Int J Epidemiol 2020; 48:98-107. [PMID: 30277525 DOI: 10.1093/ije/dyy199] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Early exposure to socioeconomic disadvantage is associated with obesity. Here we investigated how early, and conducted mediation analyses to identify behavioural factors in adulthood that could explain why. METHODS Among 931 participants in the New England Family Study, we investigated the associations of family socioeconomic disadvantage measured before birth and at age 7 years with the following measures of adiposity in mid-adulthood (mean age = 44.4 years): body mass index (BMI), waist circumference and, among 400 participants, body composition from dual-energy X-ray absorption scans. RESULTS In linear regressions adjusting for age, sex, race and childhood BMI Z-score, participants in the highest tertile of socioeconomic disadvantage at birth had 2.6 additional BMI units in adulthood [95% confidence interval (CI) = 1.26, 3.96], 5.62 cm waist circumference (95% CI = 2.69, 8.55), 0.73 kg of android fat mass (95% CI = 0.25, 1.21), and 7.65 higher Fat Mass Index (95% CI = 2.22, 13.09). Conditional on disadvantage at birth, socioeconomic disadvantage at age 7 years was not associated with adult adiposity. In mediation analyses, 10-20% of these associations were explained by educational attainment and 5-10% were explained by depressive symptoms. CONCLUSIONS Infancy may be a sensitive period for exposure to socioeconomic disadvantage, as exposure in the earliest years of life confers a larger risk for overall and central adiposity in mid-adulthood than exposure during childhood. Intervention on these two adult risk factors for adiposity would, if all model assumptions were satisfied, only remediate up to one-fifth of the excess adult adiposity among individuals born into socioeconomically disadvantaged households.
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Affiliation(s)
- Stephen E Gilman
- Social and Behavioral Sciences Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yen-Tsung Huang
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.,Department of Epidemiology.,Department of Biostatistics, Brown School of Public Health, Providence, RI, USA
| | | | - Golareh Agha
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Su H Chu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Risë B Goldstein
- Social and Behavioral Sciences Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - Karl T Kelsey
- Department of Epidemiology.,Department of Pathology and Laboratory Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Eric B Loucks
- Department of Epidemiology.,Department of Behavioural and Social Sciences, Brown School of Public Health, Providence, RI, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
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Jimenez MP, Wellenius GA, Subramanian SV, Buka S, Eaton C, Gilman SE, Loucks EB. Longitudinal associations of neighborhood socioeconomic status with cardiovascular risk factors: A 46-year follow-up study. Soc Sci Med 2019; 241:112574. [PMID: 31593787 DOI: 10.1016/j.socscimed.2019.112574] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [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: 03/27/2019] [Revised: 09/18/2019] [Accepted: 09/24/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVES Neighborhood characteristics are increasingly recognized as important determinants of cardiovascular disease (CVD) risk. However, longitudinal studies on the health impacts of neighborhood characteristics are rare. We sought to investigate whether neighborhood socioeconomic status (NSES) during birth, childhood and adulthood is associated with CVD risk factors in adulthood. METHODS Using longitudinal data from the New England Family Study (n = 671) with 46-years of follow-up, participants' home addresses were geocoded at birth (mean age = 1.6 months), childhood (mean age = 7.1 years), and adulthood (mean age = 44.2 years) across Massachusetts and Rhode Island in the US from 1961 to 2007. We used multilevel models to evaluate associations of NSES across the life-course with systolic blood pressure, diastolic blood pressure and body mass index (BMI) in adulthood, adjusting for age, sex, race/ethnicity, mother's race, individual SES, and parental SES. RESULTS In fully adjusted models, one standard deviation higher NSES at birth was associated with a 1.9 mmHg lower SBP (95% CI: 3.8, -0.1) and 1.3 mmHg lower DBP (95%CI: 2.6,-0.03) in adulthood; while one standard deviation of higher NSES at adulthood was associated with 0.87 kg/m2 lower BMI (95%CI: 1.7, -0.1). CONCLUSIONS We found that living in a socioeconomically disadvantaged neighborhood early in life and in adulthood was associated with blood pressure and BMI, respectively, two established risk factors for CVD. Our findings support a longitudinal association between exposure to socioeconomically disadvantaged neighborhoods in early life and CVD risk factors in adulthood.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Brown University School of Public Health, 121 S Main St, Providence, RI 02903, USA.
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, 121 S Main St, Providence, RI 02903, USA
| | - S V Subramanian
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Stephen Buka
- Department of Epidemiology, Brown University School of Public Health, 121 S Main St, Providence, RI 02903, USA
| | - Charles Eaton
- Department of Epidemiology, Brown University School of Public Health, 121 S Main St, Providence, RI 02903, USA; Department of Family Medicine, Warren Alpert Medical School of Brown University, 222 Richmond St, Providence, RI 02903, USA
| | - Stephen E Gilman
- Social and Behavioral Sciences Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eric B Loucks
- Department of Epidemiology, Brown University School of Public Health, 121 S Main St, Providence, RI 02903, USA
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Jimenez MP, Green MA, Subramanian SV, Razak F. A demographic, clinical, and behavioral typology of obesity in the United States: an analysis of National Health and Nutrition Examination Survey 2011-2012. Ann Epidemiol 2018; 28:175-181.e4. [PMID: 29402536 DOI: 10.1016/j.annepidem.2018.01.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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: 08/15/2017] [Revised: 12/22/2017] [Accepted: 01/03/2018] [Indexed: 01/05/2023]
Abstract
PURPOSE Public health reporting, randomized trials, and epidemiologic studies of obesity tend to consider it as a homogeneous entity. However, obesity may represent a heterogeneous condition according to demographic, clinical, and behavioral factors. We assessed the heterogeneity of individuals with obesity in the United States. METHODS We analyzed data from the 2011-2012 wave of the National Health and Nutrition Examination Survey, a nationally representative sample of adults in the United States with detailed physical examination and clinical data (n = 1380). We used cluster analysis to identify subgroups classified as obese according to demographic factors, clinical conditions, and behavioral characteristics. RESULTS We found significant heterogeneity among participants with obesity according to six distinct clusters (P < .001): affluent men with sleep disorders (16% of sample); older smokers with cardiovascular disease (16%); older women with high comorbidity (20%); healthy white women (13%); healthy non-white women (14%); and active men who drink higher amounts of alcohol (21%). CONCLUSIONS Obesity in the United States is not a homogeneous condition. Current research and treatment may fail to account for complex and interrelated factors, with implications for prevention strategies and diverse risks of obesity.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI
| | - Mark A Green
- Department of Geography & Planning, University of Liverpool, Liverpool, UK
| | - S V Subramanian
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA; Harvard Centre for Population and Development Studies, Harvard University, Cambridge, MA
| | - Fahad Razak
- Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, ON, Canada; St Michael's Hospital, University of Toronto and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada; Harvard Centre for Population and Development Studies, Harvard University, Cambridge, MA.
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Verma AA, Jimenez MP, Subramanian S, Sniderman AD, Razak F. Race and Socioeconomic Differences Associated With Changes in Statin Eligibility Under the 2013 American College of Cardiology/American Heart Association Cholesterol Guidelines. Circ Cardiovasc Qual Outcomes 2017; 10:CIRCOUTCOMES.117.003764. [DOI: 10.1161/circoutcomes.117.003764] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 08/08/2017] [Indexed: 12/19/2022]
Affiliation(s)
- Amol A. Verma
- From the Department of Medicine (A.A.V.), Li Ka Shing Knowledge Institute, St. Michael’s Hospital (A.A.V., F.R.), and Division of General Internal Medicine, Department of Medicine (F.R.), University of Toronto, Ontario, Canada; Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI (M.P.J.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (S.V.S.); Division of Cardiology, Royal Victoria Hospital–McGill University Health
| | - Marcia P. Jimenez
- From the Department of Medicine (A.A.V.), Li Ka Shing Knowledge Institute, St. Michael’s Hospital (A.A.V., F.R.), and Division of General Internal Medicine, Department of Medicine (F.R.), University of Toronto, Ontario, Canada; Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI (M.P.J.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (S.V.S.); Division of Cardiology, Royal Victoria Hospital–McGill University Health
| | - S.V. Subramanian
- From the Department of Medicine (A.A.V.), Li Ka Shing Knowledge Institute, St. Michael’s Hospital (A.A.V., F.R.), and Division of General Internal Medicine, Department of Medicine (F.R.), University of Toronto, Ontario, Canada; Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI (M.P.J.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (S.V.S.); Division of Cardiology, Royal Victoria Hospital–McGill University Health
| | - Allan D. Sniderman
- From the Department of Medicine (A.A.V.), Li Ka Shing Knowledge Institute, St. Michael’s Hospital (A.A.V., F.R.), and Division of General Internal Medicine, Department of Medicine (F.R.), University of Toronto, Ontario, Canada; Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI (M.P.J.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (S.V.S.); Division of Cardiology, Royal Victoria Hospital–McGill University Health
| | - Fahad Razak
- From the Department of Medicine (A.A.V.), Li Ka Shing Knowledge Institute, St. Michael’s Hospital (A.A.V., F.R.), and Division of General Internal Medicine, Department of Medicine (F.R.), University of Toronto, Ontario, Canada; Department of Epidemiology, Brown School of Public Health, Brown University, Providence, RI (M.P.J.); Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA (S.V.S.); Division of Cardiology, Royal Victoria Hospital–McGill University Health
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Noelke C, McGovern M, Corsi DJ, Jimenez MP, Stern A, Wing IS, Berkman L. Increasing ambient temperature reduces emotional well-being. Environ Res 2016; 151:124-129. [PMID: 27475052 DOI: 10.1016/j.envres.2016.06.045] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [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: 03/11/2016] [Revised: 06/14/2016] [Accepted: 06/28/2016] [Indexed: 06/06/2023]
Abstract
This study examines the impact of ambient temperature on emotional well-being in the U.S. population aged 18+. The U.S. is an interesting test case because of its resources, technology and variation in climate across different areas, which also allows us to examine whether adaptation to different climates could weaken or even eliminate the impact of heat on well-being. Using survey responses from 1.9 million Americans over the period from 2008 to 2013, we estimate the effect of temperature on well-being from exogenous day-to-day temperature variation within respondents' area of residence and test whether this effect varies across areas with different climates. We find that increasing temperatures significantly reduce well-being. Compared to average daily temperatures in the 50-60°F (10-16°C) range, temperatures above 70°F (21°C) reduce positive emotions (e.g. joy, happiness), increase negative emotions (e.g. stress, anger), and increase fatigue (feeling tired, low energy). These effects are particularly strong among less educated and older Americans. However, there is no consistent evidence that heat effects on well-being differ across areas with mild and hot summers, suggesting limited variation in heat adaptation.
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Affiliation(s)
- Clemens Noelke
- Institute for Child, Youth and Family Policy, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA 02453, USA.
| | - Mark McGovern
- Queen's Management School, Queen's University, Belfast BT9 5EE, United Kingdom; UKCRC Centre of Excellence for Public Health (Northern Ireland), Belfast, United Kingdom
| | - Daniel J Corsi
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 725 Parkdale Avenue, Ottawa, ON K1Y 4E9, Canada
| | - Marcia P Jimenez
- Department of Epidemiology, Brown University School of Public Health, 121 South Main Street, Providence, RI 02912, USA
| | - Ari Stern
- Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA
| | - Ian Sue Wing
- Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA
| | - Lisa Berkman
- Center for Population and Development Studies, Harvard University, 9 Bow Street, Cambridge, MA 02138, USA
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Su S, Jimenez MP, Roberts CTF, Loucks EB. The role of adverse childhood experiences in cardiovascular disease risk: a review with emphasis on plausible mechanisms. Curr Cardiol Rep 2016; 17:88. [PMID: 26289252 DOI: 10.1007/s11886-015-0645-1] [Citation(s) in RCA: 133] [Impact Index Per Article: 16.6] [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: 12/13/2022]
Abstract
Childhood adversity, characterized by abuse, neglect, and household dysfunction, is a problem that exerts a significant impact on individuals, families, and society. Growing evidence suggests that adverse childhood experiences (ACEs) are associated with health decline in adulthood, including cardiovascular disease (CVD). In the current review, we first provide an overview of the association between ACEs and CVD risk, with updates on the latest epidemiological evidence. Second, we briefly review plausible pathways by which ACEs could influence CVD risk, including traditional risk factors and novel mechanisms. Finally, we highlight the potential implications of ACEs in clinical and public health. Information gleaned from this review should help physicians and researchers in better understanding potential long-term consequences of ACEs and considering adapting current strategies in treatment or intervention for patients with ACEs.
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Affiliation(s)
- Shaoyong Su
- Georgia Prevention Institute, Medical College of Georgia, Georgia Regents University, 1120 15th Street, HS 1721, Augusta, GA, 30912, USA,
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29
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Vable AM, Kawachi I, Canning D, Glymour MM, Jimenez MP, Subramanian SV. Are There Spillover Effects from the GI Bill? The Mental Health of Wives of Korean War Veterans. PLoS One 2016; 11:e0154203. [PMID: 27186983 PMCID: PMC4871362 DOI: 10.1371/journal.pone.0154203] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 04/10/2016] [Indexed: 12/01/2022] Open
Abstract
Background The Korean War GI Bill provided economic benefits for veterans, thereby potentially improving their health outcomes. However potential spillover effects on veteran wives have not been evaluated. Methods Data from wives of veterans eligible for the Korean War GI Bill (N = 128) and wives of non-veterans (N = 224) from the Health and Retirement Study were matched on race and coarsened birth year and childhood health using coarsened exact matching. Number of depressive symptoms in 2010 (average age = 78) were assessed using a modified, validated Center for Epidemiologic Studies-Depression Scale. Regression analyses were stratified into low (mother < 8 years schooling / missing data, N = 95) or high (mother ≥ 8 years schooling, N = 257) childhood socio-economic status (cSES) groups, and were adjusted for birth year and childhood health, as well as respondent’s educational attainment in a subset of analyses. Results Husband’s Korean War GI Bill eligibility did not predict depressive symptoms among veteran wives in pooled analysis or cSES stratified analyses; analyses in the low cSES subgroup were underpowered (N = 95, β = -0.50, 95% Confidence Interval: (-1.35, 0.35), p = 0.248, power = 0.28). Conclusions We found no evidence of a relationship between husband’s Korean War GI Bill eligibility and wives’ mental health in these data, however there may be a true effect that our analysis was underpowered to detect.
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Affiliation(s)
- Anusha M. Vable
- Stanford Prevention Research Center, Stanford University, Stanford, CA, United States of America
- * E-mail:
| | - Ichiro Kawachi
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - David Canning
- Department of Global Health and Populations, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - M. Maria Glymour
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States of America
| | - Marcia P. Jimenez
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, United States of America
| | - S. V. Subramanian
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
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30
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Vable AM, Canning D, Glymour MM, Kawachi I, Jimenez MP, Subramanian SV. Can social policy influence socioeconomic disparities? Korean War GI Bill eligibility and markers of depression. Ann Epidemiol 2016; 26:129-135.e3. [PMID: 26778285 DOI: 10.1016/j.annepidem.2015.12.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [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: 01/28/2015] [Revised: 11/22/2015] [Accepted: 12/11/2015] [Indexed: 11/15/2022]
Abstract
PURPOSE The Korean War GI Bill provided socioeconomic benefits to veterans; however, its association with health is unclear; we hypothesize GI Bill eligibility is associated with fewer depressive symptoms and smaller disparities. METHODS Data from 246 Korean War GI Bill eligible veterans and 240 nonveterans from the Health and Retirement Study were matched on birth year, southern birth, race, height, and childhood health using coarsened exact matching. Number of depressive symptoms in 2010 (average age = 78 years) was assessed using a modified, validated Center for Epidemiologic Studies-Depression Scale, dichotomized to reflect elevated depressive symptoms. Regression analyses were stratified into low (at least one parent < 8 years schooling/missing data, n = 167) or high (both parents ≥ 8 years schooling, n = 319) childhood socioeconomic status (cSES) groups. RESULTS Korean War GI Bill eligibility predicted fewer depressive symptoms among individuals from low cSES backgrounds [β = -0.64, 95% confidence interval (CI) = (-1.18, -0.09), P = .022]. Socioeconomic disparities were smaller among veterans than nonveterans for number of depressive symptoms [β = -0.76, 95% CI = (-1.33, -0.18), P = .010] and elevated depressive symptoms [β = -11.7, 95% CI = (-8.2, -22.6), P = .035]. CONCLUSIONS Korean War GI Bill eligibility predicted smaller socioeconomic disparities in depression markers.
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Affiliation(s)
- Anusha M Vable
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA.
| | - David Canning
- Department of Global Health and Populations, Harvard School of Public Health, Boston, MA
| | - M Maria Glymour
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco
| | - Ichiro Kawachi
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA
| | - Marcia P Jimenez
- Department of Epidemiology, Brown University School of Public Health, Providence, RI
| | - Subu V Subramanian
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, MA
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Rigo DH, Ziraldo L, Di Monte L, Jimenez MP, Giotto AP, Gutierrez L, Rodriguez I, Orias M, Novoa PA. Preemptive kidney transplantation: experience in two centers. Transplant Proc 2011; 43:3355-8. [PMID: 22099795 DOI: 10.1016/j.transproceed.2011.09.083] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
INTRODUCTION End-stage renal disease (ESRD) is a prevalent, important cause of death. Transplantation increases survival and improves the quality of life of patients with ESRD while long-term dialysis is related to poor outcomes even among patients who undergo subsequent transplantations. OBJECTIVES To compare the advantages of preemptive procedures with kidney transplants among patients on renal replacement therapy. METHODS This retrospective study was performed in two Córdoba city transplantation centers. Patients were divided into three groups: preemptive kidney transplant (PKT), patients on hemodialysis who received living donor kidney transplants (LDT), and subjects who received grafts from deceased donors (DDT). Serum creatinine, delayed graft function (DGF), subclinical rejection, and interstitial fibrosis/tubular atrophy (IF/TA) were evaluated at 6 months. RESULTS Eighty patients were included: PKT (n = 28), LDT (n = 27), DDT (n = 25) mean age 29, 30, and 35 years, respectively. Women predominated among PKT and men in the other groups. In all groups, cyclosporine was the calcineurin inhibitor mostly used. Creatinine at 6 months was lower in the living donor groups (1.26 mg/dL PKT and 1.32 mg/dL LDT; P = NS) in relation to the deceased donor group (1.96 mg/dL; P < .05). DDT had the highest rate of DGF: 44% DDT versus 11.5% LDT vs 0% PKT (P < .05). Subclinical rejection was significantly lower among preemptive transplantations: PKT 7.6% versus LDT 18.5% versus DDT 24% (P < .05). IF/TA was higher in transplants from deceased donors: PKT 11.1%; LDT 11.5%; DDT 32%. CONCLUSIONS Preemptive kidney transplantation offered the advantages of a lower creatinine, no DGF, as well as a reduced incidence of subclinical rejection and chronic allograft nephropathy at 6 months posttransplantation.
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Affiliation(s)
- D H Rigo
- Department of Nephrology, Sanatorio Allende, Córdoba City, Argentina.
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