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Jacob V, Reynolds JA, Chattopadhyay SK, Hopkins DP, Brown DR, Devlin HM, Barrett A, Berrigan D, Crespo CJ, Heath GW, Brownson RC, Cuellar AE, Clymer JM, Chriqui JF. Parks, Trails, and Greenways for Physical Activity: A Community Guide Systematic Economic Review. Am J Prev Med 2024:S0749-3797(24)00040-0. [PMID: 38331114 DOI: 10.1016/j.amepre.2024.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 02/10/2024]
Abstract
INTRODUCTION This systematic economic review examined the cost-benefit and cost-effectiveness of park, trail, and greenway infrastructure interventions to increase physical activity or infrastructure use. METHODS The search period covered the date of inception of publications databases through February 2022. Inclusion was limited to studies that reported cost-benefit or cost-effectiveness outcomes and were based in the U.S. and other high-income countries. Analyses were conducted from March 2022 through December 2022. All monetary values reported are in 2021 U.S. dollars. RESULTS The search yielded 1 study based in the U.S. and 7 based in other high-income countries, with 1 reporting cost-effectiveness and 7 reporting cost-benefit outcomes. The cost-effectiveness study based in the United Kingdom reported $23,254 per disability-adjusted life year averted. The median benefit-to-cost ratio was 3.1 (interquartile interval=2.9-3.9) on the basis of 7 studies. DISCUSSION The evidence shows that economic benefits exceed the intervention cost of park, trail, and greenway infrastructure. Given large differences in the size of infrastructure, intervention costs and economic benefits varied substantially across studies. There was insufficient number of studies to determine the cost-effectiveness of these interventions.
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Affiliation(s)
- Verughese Jacob
- Community Guide Program, Office of Scientific Evidence and Recommendations, Office of Science, Centers for Disease Control and Prevention, Atlanta, Georgia.
| | - Jeffrey A Reynolds
- Community Guide Program, Office of Scientific Evidence and Recommendations, Office of Science, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sajal K Chattopadhyay
- Community Guide Program, Office of Scientific Evidence and Recommendations, Office of Science, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - David P Hopkins
- Community Guide Program, Office of Scientific Evidence and Recommendations, Office of Science, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - David R Brown
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Heather M Devlin
- Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Austin Barrett
- National Recreation and Park Association, Ashburn, Virginia
| | - David Berrigan
- Behavior Research Program, National Cancer Institute, Bethesda, Maryland
| | - Carlos J Crespo
- College of Applied Health Sciences, University of Illinois, Chicago, Illinois
| | - Gregory W Heath
- Department of Health and Human Performance, The University of Tennessee at Chattanooga, Chattanooga, Tennessee
| | - Ross C Brownson
- Brown School, Washington University in St. Louis, Saint Louis, Missouri; Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Alison E Cuellar
- Department of Health Administration and Policy, George Mason University, Fairfax, Virginia
| | - John M Clymer
- National Forum for Heart Disease & Stroke Prevention, Washington, District of Columbia
| | - Jamie F Chriqui
- Institute for Health Research and Policy, University of Illinois Chicago, Chicago, Illinois
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Kaptoge S, Seshasai SRK, Sun L, Walker M, Bolton T, Spackman S, Ataklte F, Willeit P, Bell S, Burgess S, Pennells L, Altay S, Assmann G, Ben-Shlomo Y, Best LG, Björkelund C, Blazer DG, Brenner H, Brunner EJ, Dagenais GR, Cooper JA, Cooper C, Crespo CJ, Cushman M, D'Agostino RB, Daimon M, Daniels LB, Danker R, Davidson KW, de Jongh RT, Donfrancesco C, Ducimetiere P, Elders PJM, Engström G, Ford I, Gallacher I, Bakker SJL, Goldbourt U, de La Cámara G, Grimsgaard S, Gudnason V, Hansson PO, Imano H, Jukema JW, Kabrhel C, Kauhanen J, Kavousi M, Kiechl S, Knuiman MW, Kromhout D, Krumholz HM, Kuller LH, Laatikainen T, Lowler DA, Meyer HE, Mukamal K, Nietert PJ, Ninomiya T, Nitsch D, Nordestgaard BG, Palmieri L, Price JF, Ridker PM, Sun Q, Rosengren A, Roussel R, Sakurai M, Salomaa V, Schöttker B, Shaw JE, Strandberg TE, Sundström J, Tolonen H, Tverdal A, Verschuren WMM, Völzke H, Wagenknecht L, Wallace RB, Wannamethee SG, Wareham NJ, Wassertheil-Smoller S, Yamagishi K, Yeap BB, Harrison S, Inouye M, Griffin S, Butterworth AS, Wood AM, Thompson SG, Sattar N, Danesh J, Di Angelantonio E, Tipping RW, Russell S, Johansen M, Bancks MP, Mongraw-Chaffin M, Magliano D, Barr ELM, Zimmet PZ, Knuiman MW, Whincup PH, Willeit J, Willeit P, Leitner C, Lawlor DA, Ben-Shlomo Y, Elwood P, Sutherland SE, Hunt KJ, Cushman M, Selmer RM, Haheim LL, Ariansen I, Tybjaer-Hansen A, Frikkle-Schmidt R, Langsted A, Donfrancesco C, Lo Noce C, Balkau B, Bonnet F, Fumeron F, Pablos DL, Ferro CR, Morales TG, Mclachlan S, Guralnik J, Khaw KT, Brenner H, Holleczek B, Stocker H, Nissinen A, Palmieri L, Vartiainen E, Jousilahti P, Harald K, Massaro JM, Pencina M, Lyass A, Susa S, Oizumi T, Kayama T, Chetrit A, Roth J, Orenstein L, Welin L, Svärdsudd K, Lissner L, Hange D, Mehlig K, Salomaa V, Tilvis RS, Dennison E, Cooper C, Westbury L, Norman PE, Almeida OP, Hankey GJ, Hata J, Shibata M, Furuta Y, Bom MT, Rutters F, Muilwijk M, Kraft P, Lindstrom S, Turman C, Kiyama M, Kitamura A, Yamagishi K, Gerber Y, Laatikainen T, Salonen JT, van Schoor LN, van Zutphen EM, Verschuren WMM, Engström G, Melander O, Psaty BM, Blaha M, de Boer IH, Kronmal RA, Sattar N, Rosengren A, Nitsch D, Grandits G, Tverdal A, Shin HC, Albertorio JR, Gillum RF, Hu FB, Cooper JA, Humphries S, Hill- Briggs F, Vrany E, Butler M, Schwartz JE, Kiyama M, Kitamura A, Iso H, Amouyel P, Arveiler D, Ferrieres J, Gansevoort RT, de Boer R, Kieneker L, Crespo CJ, Assmann G, Trompet S, Kearney P, Cantin B, Després JP, Lamarche B, Laughlin G, McEvoy L, Aspelund T, Thorsson B, Sigurdsson G, Tilly M, Ikram MA, Dorr M, Schipf S, Völzke H, Fretts AM, Umans JG, Ali T, Shara N, Davey-Smith G, Can G, Yüksel H, Özkan U, Nakagawa H, Morikawa Y, Ishizaki M, Njølstad I, Wilsgaard T, Mathiesen E, Sundström J, Buring J, Cook N, Arndt V, Rothenbacher D, Manson J, Tinker L, Shipley M, Tabak AG, Kivimaki M, Packard C, Robertson M, Feskens E, Geleijnse M, Kromhout D. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation. Lancet Diabetes Endocrinol 2023; 11:731-742. [PMID: 37708900 PMCID: PMC7615299 DOI: 10.1016/s2213-8587(23)00223-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 07/14/2023] [Accepted: 07/14/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND The prevalence of type 2 diabetes is increasing rapidly, particularly among younger age groups. Estimates suggest that people with diabetes die, on average, 6 years earlier than people without diabetes. We aimed to provide reliable estimates of the associations between age at diagnosis of diabetes and all-cause mortality, cause-specific mortality, and reductions in life expectancy. METHODS For this observational study, we conducted a combined analysis of individual-participant data from 19 high-income countries using two large-scale data sources: the Emerging Risk Factors Collaboration (96 cohorts, median baseline years 1961-2007, median latest follow-up years 1980-2013) and the UK Biobank (median baseline year 2006, median latest follow-up year 2020). We calculated age-adjusted and sex-adjusted hazard ratios (HRs) for all-cause mortality according to age at diagnosis of diabetes using data from 1 515 718 participants, in whom deaths were recorded during 23·1 million person-years of follow-up. We estimated cumulative survival by applying age-specific HRs to age-specific death rates from 2015 for the USA and the EU. FINDINGS For participants with diabetes, we observed a linear dose-response association between earlier age at diagnosis and higher risk of all-cause mortality compared with participants without diabetes. HRs were 2·69 (95% CI 2·43-2·97) when diagnosed at 30-39 years, 2·26 (2·08-2·45) at 40-49 years, 1·84 (1·72-1·97) at 50-59 years, 1·57 (1·47-1·67) at 60-69 years, and 1·39 (1·29-1·51) at 70 years and older. HRs per decade of earlier diagnosis were similar for men and women. Using death rates from the USA, a 50-year-old individual with diabetes died on average 14 years earlier when diagnosed aged 30 years, 10 years earlier when diagnosed aged 40 years, or 6 years earlier when diagnosed aged 50 years than an individual without diabetes. Using EU death rates, the corresponding estimates were 13, 9, or 5 years earlier. INTERPRETATION Every decade of earlier diagnosis of diabetes was associated with about 3-4 years of lower life expectancy, highlighting the need to develop and implement interventions that prevent or delay the onset of diabetes and to intensify the treatment of risk factors among young adults diagnosed with diabetes. FUNDING British Heart Foundation, Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.
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Hiatt RA, Carrasco YP, Paciorek AL, Kaplan L, Cox MB, Crespo CJ, Feig A, Hueffer K, McFerrin H, Norris K, Roberts-Kirchhoff E, Saetermoe CL, Silver GB, Snyder K, Zavala AR, Parangan-Smith AG. Enhancing grant-writing expertise in BUILD institutions: Building infrastructure leading to diversity. PLoS One 2022; 17:e0274100. [PMID: 36137156 PMCID: PMC9499285 DOI: 10.1371/journal.pone.0274100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 08/22/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The lack of race/ethnic and gender diversity in grants funded by the National Institutes of Health (NIH) is a persistent challenge related to career advancement and the quality and relevance of health research. We describe pilot programs at nine institutions supported by the NIH-sponsored Building Infrastructure Leading to Diversity (BUILD) program aimed at increasing diversity in biomedical research. METHODS We collected data from the 2016-2017 Higher Education Research Institute survey of faculty and NIH progress reports for the first four years of the program (2015-2018). We then conducted descriptive analyses of data from the nine BUILD institutions that had collected data and evaluated which activities were associated with research productivity. We used Poisson regression and rate ratios of the numbers of BUILD pilots funded, students included, abstracts, presentations, publications, and submitted and funded grant proposals. RESULTS Teaching workshops were associated with more abstracts (RR 4.04, 95% CI 2.21-8.09). Workshops on grant writing were associated with more publications (RR 2.64, 95% CI 1.64-4.34) and marginally with marginally more presentations. Incentives to develop courses were associated with more abstracts published (RR 4.33, 95% CI 2.56-7.75). Workshops on research skills and other incentives were not associated with any positive effects. CONCLUSIONS Pilot interventions show promise in supporting diversity in NIH-level research. Longitudinal modeling that considers time lags in career development in moving from project development to grants submissions can provide more direction for future diversity pilot interventions.
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Affiliation(s)
- Robert A. Hiatt
- Department of Epidemiology and Biostatistics and Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, United States of America
| | - Yazmin P. Carrasco
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America
| | - Alan L. Paciorek
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States of America
| | - Lauren Kaplan
- Center for Vulnerable Populations, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, San Francisco, CA, United States of America
| | - Marc B. Cox
- Department of Pharmaceutical Sciences, Department of Biological Sciences, and Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX, United States of America
| | - Carlos J. Crespo
- Oregon Health and Science University and Portland State University Joint School of Public Health, Portland, OR, United States of America
| | - Andrew Feig
- Department of Chemistry, Wayne State University, Detroit, MI, United States of America
| | - Karsten Hueffer
- Department of Veterinary Medicine, University of Alaska Fairbanks, Fairbanks, AK, United States of America
| | - Harris McFerrin
- Biology Department, Xavier University, New Orleans, LA, United States of America
| | - Keith Norris
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States of America
| | - Elizabeth Roberts-Kirchhoff
- Department of Chemistry and Biochemistry, University of Detroit Mercy, Detroit, MI, United States of America
| | - Carrie L. Saetermoe
- Department of Psychology, California State University Northridge, Northridge, CA, United States of America
| | - Gillian Beth Silver
- ASCEND Center for Biomedical Research, Division of Research & Economic Development, Morgan State University, Baltimore, MD, United States of America
| | - Katherine Snyder
- Department of Mathematics and Computer Science, University of Detroit Mercy, Detroit, MI, United States of America
| | - Arturo R. Zavala
- Department of Psychology, California State University, Long Beach, Long Beach, CA, United States of America
| | - Audrey G. Parangan-Smith
- Department of Biology, San Francisco State University, San Francisco, CA, United States of America
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Crespo CJ, Limones S, Adams C, Iopu F, Smit E. Independent Protective Effects Of Habitual Physical Activity Against All-cause Mortality Among Persons With Diabetes. Med Sci Sports Exerc 2022. [DOI: 10.1249/01.mss.0000882228.79718.d4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Kanaley JA, Colberg SR, Corcoran MH, Malin SK, Rodriguez NR, Crespo CJ, Kirwan JP, Zierath JR. Exercise/Physical Activity in Individuals with Type 2 Diabetes: A Consensus Statement from the American College of Sports Medicine. Med Sci Sports Exerc 2022; 54:353-368. [PMID: 35029593 PMCID: PMC8802999 DOI: 10.1249/mss.0000000000002800] [Citation(s) in RCA: 161] [Impact Index Per Article: 80.5] [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] [Indexed: 02/03/2023]
Abstract
ABSTRACT This consensus statement is an update of the 2010 American College of Sports Medicine position stand on exercise and type 2 diabetes. Since then, a substantial amount of research on select topics in exercise in individuals of various ages with type 2 diabetes has been published while diabetes prevalence has continued to expand worldwide. This consensus statement provides a brief summary of the current evidence and extends and updates the prior recommendations. The document has been expanded to include physical activity, a broader, more comprehensive definition of human movement than planned exercise, and reducing sedentary time. Various types of physical activity enhance health and glycemic management in people with type 2 diabetes, including flexibility and balance exercise, and the importance of each recommended type or mode are discussed. In general, the 2018 Physical Activity Guidelines for Americans apply to all individuals with type 2 diabetes, with a few exceptions and modifications. People with type 2 diabetes should engage in physical activity regularly and be encouraged to reduce sedentary time and break up sitting time with frequent activity breaks. Any activities undertaken with acute and chronic health complications related to diabetes may require accommodations to ensure safe and effective participation. Other topics addressed are exercise timing to maximize its glucose-lowering effects and barriers to and inequities in physical activity adoption and maintenance.
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Affiliation(s)
- Jill A Kanaley
- Department of Nutrition and Exercise Physiology, University of Missouri, Columbia, MO
| | - Sheri R Colberg
- Human Movement Sciences Department, Old Dominion University, Norfolk, VA
| | | | - Steven K Malin
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ
| | - Nancy R Rodriguez
- Department of Nutritional Sciences, University of Connecticut, Storrs, CT
| | - Carlos J Crespo
- Oregon Health and Science University-Portland State University School of Public Health, Portland, OR
| | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, LA
| | - Juleen R Zierath
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, SWEDEN
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Marriott LK, Link AR, Anitori R, Blackwell E, Blas A, Brock J, Burke T, Burrows JA, Cabrera AP, Helsham D, Liban LB, Mackiewicz MR, Maruyama M, Milligan-Myhre KCA, Pangelinan PJC, Hattori-Uchima M, Reed R, Simon BE, Solomon B, Trinidad AMO, Wyatt LR, Covarrubia AD, Zell A, Keller TE, Morris C, Crespo CJ. Supporting Biomedical Research Training for Historically Underrepresented Undergraduates Using Interprofessional, Nonformal Education Structures. J Scholarsh Teach Learn 2021; 21:241-286. [PMID: 35992735 PMCID: PMC9390072 DOI: 10.14434/josotl.v21i1.30430] [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: 06/15/2023]
Abstract
Research experience provides critical training for new biomedical research scientists. Students from underrepresented populations studying science, technology, engineering, and mathematics (STEM) are increasingly recruited into research pathways to diversify STEM fields. However, support structures outside of research settings designed to help these students navigate biomedical research pathways are not always available; nor are program support components outside the context of laboratory technical skills training and formal mentorship well understood. This study leveraged a multi-institutional research training program, Enhancing Cross-Disciplinary Infrastructure and Training at Oregon (EXITO), to explore how nine institutions designed a new curricular structure (Enrichment) to meet a common goal of enhancing undergraduate research training and student success. EXITO undergraduates participated in a comprehensive, 3-year research training program with the Enrichment component offered across nine sites: three universities and six community colleges, highly diverse in size, demographics, and location. Sites' approaches to supporting students in the training program were studied over a 30-month period. All sites independently created their own nonformal curricular structures, implemented interprofessionally via facilitated peer groups. Site data describing design and implementation were thematically coded to identify essential programmatic components across sites, with student feedback used to triangulate findings. Enrichment offered students time to critically reflect on their interests, experiences, and identities in research; network with peers and professionals; and support negotiation of hidden and implicit curricula. Students reported the low-pressure setting and student-centered curriculum balanced the high demands associated with academics and research. Core curricular themes described Enrichment as fostering a sense of community among students, exposing students to career paths and skills, and supporting development of students' professional identities. The non-formal, interprofessional curricula enabled students to model diverse biomedical identities and pathways for each other while informing institutional structures to improve diverse undergraduate students' success in academia and research.
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Lipsky MS, Su S, Crespo CJ, Hung M. Men and Oral Health: A Review of Sex and Gender Differences. Am J Mens Health 2021; 15:15579883211016361. [PMID: 33993787 PMCID: PMC8127762 DOI: 10.1177/15579883211016361] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/14/2021] [Accepted: 04/20/2021] [Indexed: 12/15/2022] Open
Abstract
Sex and gender related health disparities in oral health remain an underappreciated and often over looked aspect of well-being. The goal of this narrative review is to identify sex and gender related oral health disparities by summarizing the current literature related to differences in oral health between men and women. The review identified that men are more likely to: ignore their oral health, have poorer oral hygiene habits, and experience higher rates of periodontal disease, oral cancer, and dental trauma. Men also visit dentists less frequently and compared to women seek oral treatment more often for an acute problem and less often for disease prevention. Women exhibit more positive attitudes about dental visits, greater oral health literacy, and demonstrate better oral health behaviors than men. Men disproportionately develop periodontal diseases due to a combination of biological and gender related reasons including immune system factors, hormone differences, poorer oral hygiene behaviors, and greater tobacco use. There is a male to female ratio of 2:1 for oral cancer, largely attributable to more tobacco use, heavier use of alcohol, and longer sun exposure. Minority men experience a disproportionate burden of oral health disparities because of both their gender and race/ethnic identities. In conclusion, this review identifies several differences between men and women related to oral health and highlights the need for further research to better understand these disparities and how to incorporate them into developing prevention, education and treatment strategies to improve oral health in men.
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Affiliation(s)
- Martin S. Lipsky
- Roseman University of Health Sciences College of Dental Medicine, South Jordan, UT, USA
- Oregon Health and Science University – Portland State University Institute on Aging, Portland, OR, USA
| | - Sharon Su
- Roseman University of Health Sciences College of Dental Medicine, South Jordan, UT, USA
| | - Carlos J. Crespo
- Oregon Health and Science University – Portland State University School of Public Health, Portland, OR, USA
| | - Man Hung
- Roseman University of Health Sciences College of Dental Medicine, South Jordan, UT, USA
- University of Utah Health, Society & Policy Program, Salt Lake City, UT, USA
- University of Utah School of Biological Sciences, Salt Lake City, UT, USA
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Crespo CJ, Garcia N, Smit E. The Relationship Of Habitual Physical Activity With All-cause Mortality Among Obese Adults In US. Med Sci Sports Exerc 2020. [DOI: 10.1249/01.mss.0000678484.24301.af] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Thornton PL, Kumanyika SK, Gregg EW, Araneta MR, Baskin ML, Chin MH, Crespo CJ, de Groot M, Garcia DO, Haire-Joshu D, Heisler M, Hill-Briggs F, Ladapo JA, Lindberg NM, Manson SM, Marrero DG, Peek ME, Shields AE, Tate DF, Mangione CM. New research directions on disparities in obesity and type 2 diabetes. Ann N Y Acad Sci 2019; 1461:5-24. [PMID: 31793006 DOI: 10.1111/nyas.14270] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [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: 09/03/2019] [Accepted: 10/18/2019] [Indexed: 12/12/2022]
Abstract
Obesity and type 2 diabetes disproportionately impact U.S. racial and ethnic minority communities and low-income populations. Improvements in implementing efficacious interventions to reduce the incidence of type 2 diabetes are underway (i.e., the National Diabetes Prevention Program), but challenges in effectively scaling-up successful interventions and reaching at-risk populations remain. In October 2017, the National Institutes of Health convened a workshop to understand how to (1) address socioeconomic and other environmental conditions that perpetuate disparities in the burden of obesity and type 2 diabetes; (2) design effective prevention and treatment strategies that are accessible, feasible, culturally relevant, and acceptable to diverse population groups; and (3) achieve sustainable health improvement approaches in communities with the greatest burden of these diseases. Common features of guiding frameworks to understand and address disparities and promote health equity were described. Promising research directions were identified in numerous areas, including study design, methodology, and core metrics; program implementation and scalability; the integration of medical care and social services; strategies to enhance patient empowerment; and understanding and addressing the impact of psychosocial stress on disease onset and progression in addition to factors that support resiliency and health.
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Affiliation(s)
- Pamela L Thornton
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health, Bethesda, Maryland
| | - Shiriki K Kumanyika
- Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Edward W Gregg
- Epidemiology and Statistics Branch, Division of Diabetes Translation, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Maria R Araneta
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California
| | - Monica L Baskin
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Carlos J Crespo
- Oregon Health and Science University and Portland State University Joint School of Public Health, Portland, Oregon
| | - Mary de Groot
- Indiana University School of Medicine, Indianapolis, Indiana
| | - David O Garcia
- Department of Health Promotion Sciences, University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona
| | - Debra Haire-Joshu
- Washington University in St. Louis, School of Medicine and the Brown School, St. Louis, Missouri
| | | | - Felicia Hill-Briggs
- Johns Hopkins School of Medicine and Welch Center for Prevention, Epidemiology & Clinical Research, Baltimore, Maryland
| | - Joseph A Ladapo
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, California
| | | | | | | | | | - Alexandra E Shields
- Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Deborah F Tate
- University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina
| | - Carol M Mangione
- David Geffen School of Medicine at the University of California, and UCLA Fielding School of Public Health, Los Angeles, Los Angeles, California
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Kaptoge S, Pennells L, De Bacquer D, Cooney MT, Kavousi M, Stevens G, Riley LM, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens JW, Björkelund C, Blaha M, Blazer DG, Bolton T, Bonita Beaglehole R, Brenner H, Brunner EJ, Casiglia E, Chamnan P, Choi YH, Chowdry R, Coady S, Crespo CJ, Cushman M, Dagenais GR, D'Agostino Sr RB, Daimon M, Davidson KW, Engström G, Ford I, Gallacher J, Gansevoort RT, Gaziano TA, Giampaoli S, Grandits G, Grimsgaard S, Grobbee DE, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema JW, Kauhanen J, Kengne AP, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam TH, Laughlin G, Marín Ibañez A, Meade TW, Moons KGM, Nietert PJ, Ninomiya T, Nordestgaard BG, O'Donnell C, Palmieri L, Patel A, Perel P, Price JF, Providencia R, Ridker PM, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw JE, Shin HC, Simons LA, Sofianopoulou E, Sundström J, Völzke H, Wallace RB, Wareham NJ, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health 2019; 7:e1332-e1345. [PMID: 31488387 PMCID: PMC7025029 DOI: 10.1016/s2214-109x(19)30318-3] [Citation(s) in RCA: 449] [Impact Index Per Article: 89.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/16/2019] [Accepted: 07/10/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. METHODS In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. FINDINGS Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. INTERPRETATION We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. FUNDING World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.
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11
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Pennells L, Kaptoge S, Wood A, Sweeting M, Zhao X, White I, Burgess S, Willeit P, Bolton T, Moons KGM, van der Schouw YT, Selmer R, Khaw KT, Gudnason V, Assmann G, Amouyel P, Salomaa V, Kivimaki M, Nordestgaard BG, Blaha MJ, Kuller LH, Brenner H, Gillum RF, Meisinger C, Ford I, Knuiman MW, Rosengren A, Lawlor DA, Völzke H, Cooper C, Marín Ibañez A, Casiglia E, Kauhanen J, Cooper JA, Rodriguez B, Sundström J, Barrett-Connor E, Dankner R, Nietert PJ, Davidson KW, Wallace RB, Blazer DG, Björkelund C, Donfrancesco C, Krumholz HM, Nissinen A, Davis BR, Coady S, Whincup PH, Jørgensen T, Ducimetiere P, Trevisan M, Engström G, Crespo CJ, Meade TW, Visser M, Kromhout D, Kiechl S, Daimon M, Price JF, Gómez de la Cámara A, Wouter Jukema J, Lamarche B, Onat A, Simons LA, Kavousi M, Ben-Shlomo Y, Gallacher J, Dekker JM, Arima H, Shara N, Tipping RW, Roussel R, Brunner EJ, Koenig W, Sakurai M, Pavlovic J, Gansevoort RT, Nagel D, Goldbourt U, Barr ELM, Palmieri L, Njølstad I, Sato S, Monique Verschuren WM, Varghese CV, Graham I, Onuma O, Greenland P, Woodward M, Ezzati M, Psaty BM, Sattar N, Jackson R, Ridker PM, Cook NR, D'Agostino RB, Thompson SG, Danesh J, Di Angelantonio E. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J 2019; 40:621-631. [PMID: 30476079 PMCID: PMC6374687 DOI: 10.1093/eurheartj/ehy653] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [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] [Received: 01/24/2018] [Revised: 05/03/2018] [Accepted: 10/04/2018] [Indexed: 12/19/2022] Open
Abstract
AIMS There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. METHODS AND RESULTS Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. CONCLUSION Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
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Affiliation(s)
- Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Angela Wood
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Mike Sweeting
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Xiaohui Zhao
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - Ian White
- MRC Clinical Trials Unit, University College London, 90 High Holborn, London, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, UK
| | - Peter Willeit
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Thomas Bolton
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Karel G M Moons
- Epidemiology: Methodology, Julius Center Research Program Methodology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Randi Selmer
- Division of Epidemiology, Norwegian Institute of Public Health, Postboks 222 Skøyen, Oslo, Norway
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Hjartavernd Holtasmá¡ri 1, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, Vatnsmýrarvegur 16, Reykjavik, Iceland
| | - Gerd Assmann
- Assmann-Foundation for Prevention, Gronowskistraße 33, Münster, Germany
| | - Philippe Amouyel
- Institut Pasteur de Lille, 1 rue du Professeur Calmette, Lille, France
| | - Veikko Salomaa
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK
| | - Børge G Nordestgaard
- Department of Clinical Medicine, Copenhagen University Hospital, Blegdamsvej 3, Copenhagen, Denmark
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Neuenheimer Feld 581, Heidelberg, Germany
- University of Heidelberg, Grabengasse 1, Heidelberg, Germany
| | - Richard F Gillum
- Department of Medicine, Howard University College of Medicine, 2041 Georgia Avenue, Washington, DC, USA
| | - Christa Meisinger
- German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Ian Ford
- Institute of Health & Wellbeing, University of Glasgow, Boyd Orr Building, University Avenue, Glasgow, UK
| | - Matthew W Knuiman
- Faculty of Health and Medical Sciences, School of Population and Global Health, University of Western Australia, 35 Stirling Highway, Perth, Western Australia, Australia
| | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 3, Gothenburg, Sweden
- Wallenberg Laboratory, Sahlgrenska University Hospital, Blå stråket 5, Gothenburg, Sweden
| | - Debbie A Lawlor
- Department of Social Medicine, University of Bristol, Bristol, UK
| | - Henry Völzke
- Institute of Community Medicine, University of Greifswald, Ellernholzstraße 1/2, Greifswald, Germany
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Tremona Rd, Southampton, UK
| | | | - Edoardo Casiglia
- Department of Medicine, University of Padova, 2 Via Giustiniani, Padova, Italy
| | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 1 Yliopistonranta, Kuopio, Finland
| | - Jackie A Cooper
- Centre for Cardiovascular Genetics, University College London, 5 University Street, London, UK
| | - Beatriz Rodriguez
- Department of Geriatric Medicine, University of Hawaii, 1960 East-West Road, Honolulu, HI, USA
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Ing 40, 5 tr, Uppsala, Sweden
| | | | - Rachel Dankner
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Paul J Nietert
- Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, SC, USA
| | - Karina W Davidson
- Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, New York, NY, USA
| | - Robert B Wallace
- College of Public Health, University of Iowa, 145 N. Riverside Drive, Iowa City, IA, USA
| | - Dan G Blazer
- Department of Surgery, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA
| | - Cecilia Björkelund
- Department of Public Health and Community Medicine, University of Gothenburg, Medicinaregatan 16, Gothenburg, Sweden
| | - Chiara Donfrancesco
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | | | - Aulikki Nissinen
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Barry R Davis
- Department of Biostatistics, The University of Texas School of Public Health, 1200 Pressler Street, Houston, TX, USA
| | - Sean Coady
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, 31 Center Drive, Bethesda, MD, USA
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, Cranmer Terrace, London, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, 5 Øster Farimagsgade, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen, Denmark
- Aalborg University, Fredrik Bajers Vej 5, Aalborg, Denmark
| | - Pierre Ducimetiere
- Faculté de Médecine, Université Paris Descartes, 12 Rue de l'Ecole de Médecine, Paris, France
| | - Maurizio Trevisan
- CUNY School of Medicine, City College of New York, 160 Convent Ave, New York, NY, USA
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, Malmö, Sweden
| | - Carlos J Crespo
- School of Community Health, Portland State University, 506 SW Mill St, Portland, OR, USA
| | - Tom W Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Marjolein Visser
- Department of Health Sciences, Vrije Universiteit Amsterdam, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | - Daan Kromhout
- Department of Epidemiology, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Stefan Kiechl
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Makoto Daimon
- Faculty of Medicine, Yamagata University, 1-4-12 Kojirakawa-machi, Yamagata, Japan
| | - Jackie F Price
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Old Medical School, Teviot Place, Edinburgh, UK
| | | | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, Leiden, the Netherlands
| | - Benoît Lamarche
- Pavillon Ferdinand-Vandry, Université Laval, 2440 Hochelaga, Quebec, Canada
| | - Altan Onat
- Department of Cardiology, Cerrahpaşa Faculty of Medicine, Istanbul University, Beyazıt, Fatih, Istanbul, Turkey
| | | | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Yoav Ben-Shlomo
- Bristol Neuroscience, Bristol University, Queens Road, Bristol, UK
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, UK
| | - Jacqueline M Dekker
- The Institute for Health and Care Research, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | | | - Nawar Shara
- Department of Biostatistics and Bioinformatics, MedStar Health Research Institute, 6525 Belcrest Road, Hyattsville, MD, USA
| | - Robert W Tipping
- Clinical Biostatistics, Merck, 2000 Galloping Hill Road, Kenilworth, NJ, USA
| | - Ronan Roussel
- Centre de Recherche des Cordeliers, INSERM, 15 rue de l'Ecole de Médecine, Paris, France
| | - Eric J Brunner
- Institute of Epidemiology & Health, University College London, 1-19 Torrington Place, London, UK
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, 21 Arcisstraße, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Biedersteiner Str. 29, Munich, Germany
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, Japan
| | - Jelena Pavlovic
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Dorothea Nagel
- Klinikum der Universität München, Ludwig-Maximilians-Universität, 15 Marchioninistraße, Munich, Germany
| | - Uri Goldbourt
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Elizabeth L M Barr
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Australia
| | - Luigi Palmieri
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | - Inger Njølstad
- Department of Public Health, University of Tromsø, Hansine Hansens veg 18, Tromsø, Norway
| | - Shinichi Sato
- Chiba Prefectural Institute of Public Health, 666-2 Nito-no-machi Chuo-ku, Chiba, Japan
| | - W M Monique Verschuren
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, The Netherlands
| | - Cherian V Varghese
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Ian Graham
- School of Medicine, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland
| | - Oyere Onuma
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 420 East Superior Street, Chicago, IL, USA
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, 75 George Street, Oxford, UK
- The George Institute for Global Health, University of New South Wales, 1 King Street Newtown, Sydney, Australia
| | - Majid Ezzati
- Faculty of Medicine, School of Public Health, Norfolk Place, St Mary's Campus, Imperial College London, London, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, 1730 Minor Avenue, Seattle, WA, USA
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, 126 University Place, Glasgow, UK
| | - Rod Jackson
- Faculty of Medical and Health Sciences, University of Auckland, 261 Morrin Road, Auckland, New Zealand
| | - Paul M Ridker
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Nancy R Cook
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Ralph B D'Agostino
- Mathematics and Statistics Department, Boston University, 111 Cummington Mall, Boston, MA, USA
| | - Simon G Thompson
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
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12
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Gregson J, Kaptoge S, Bolton T, Pennells L, Willeit P, Burgess S, Bell S, Sweeting M, Rimm EB, Kabrhel C, Zöller B, Assmann G, Gudnason V, Folsom AR, Arndt V, Fletcher A, Norman PE, Nordestgaard BG, Kitamura A, Mahmoodi BK, Whincup PH, Knuiman M, Salomaa V, Meisinger C, Koenig W, Kavousi M, Völzke H, Cooper JA, Ninomiya T, Casiglia E, Rodriguez B, Ben-Shlomo Y, Després JP, Simons L, Barrett-Connor E, Björkelund C, Notdurfter M, Kromhout D, Price J, Sutherland SE, Sundström J, Kauhanen J, Gallacher J, Beulens JWJ, Dankner R, Cooper C, Giampaoli S, Deen JF, Gómez de la Cámara A, Kuller LH, Rosengren A, Svensson PJ, Nagel D, Crespo CJ, Brenner H, Albertorio-Diaz JR, Atkins R, Brunner EJ, Shipley M, Njølstad I, Lawlor DA, van der Schouw YT, Selmer RM, Trevisan M, Verschuren WMM, Greenland P, Wassertheil-Smoller S, Lowe GDO, Wood AM, Butterworth AS, Thompson SG, Danesh J, Di Angelantonio E, Meade T. Cardiovascular Risk Factors Associated With Venous Thromboembolism. JAMA Cardiol 2019; 4:163-173. [PMID: 30649175 PMCID: PMC6386140 DOI: 10.1001/jamacardio.2018.4537] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [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: 05/18/2018] [Accepted: 11/15/2018] [Indexed: 02/02/2023]
Abstract
Importance It is uncertain to what extent established cardiovascular risk factors are associated with venous thromboembolism (VTE). Objective To estimate the associations of major cardiovascular risk factors with VTE, ie, deep vein thrombosis and pulmonary embolism. Design, Setting, and Participants This study included individual participant data mostly from essentially population-based cohort studies from the Emerging Risk Factors Collaboration (ERFC; 731 728 participants; 75 cohorts; years of baseline surveys, February 1960 to June 2008; latest date of follow-up, December 2015) and the UK Biobank (421 537 participants; years of baseline surveys, March 2006 to September 2010; latest date of follow-up, February 2016). Participants without cardiovascular disease at baseline were included. Data were analyzed from June 2017 to September 2018. Exposures A panel of several established cardiovascular risk factors. Main Outcomes and Measures Hazard ratios (HRs) per 1-SD higher usual risk factor levels (or presence/absence). Incident fatal outcomes in ERFC (VTE, 1041; coronary heart disease [CHD], 25 131) and incident fatal/nonfatal outcomes in UK Biobank (VTE, 2321; CHD, 3385). Hazard ratios were adjusted for age, sex, smoking status, diabetes, and body mass index (BMI). Results Of the 731 728 participants from the ERFC, 403 396 (55.1%) were female, and the mean (SD) age at the time of the survey was 51.9 (9.0) years; of the 421 537 participants from the UK Biobank, 233 699 (55.4%) were female, and the mean (SD) age at the time of the survey was 56.4 (8.1) years. Risk factors for VTE included older age (ERFC: HR per decade, 2.67; 95% CI, 2.45-2.91; UK Biobank: HR, 1.81; 95% CI, 1.71-1.92), current smoking (ERFC: HR, 1.38; 95% CI, 1.20-1.58; UK Biobank: HR, 1.23; 95% CI, 1.08-1.40), and BMI (ERFC: HR per 1-SD higher BMI, 1.43; 95% CI, 1.35-1.50; UK Biobank: HR, 1.37; 95% CI, 1.32-1.41). For these factors, there were similar HRs for pulmonary embolism and deep vein thrombosis in UK Biobank (except adiposity was more strongly associated with pulmonary embolism) and similar HRs for unprovoked vs provoked VTE. Apart from adiposity, these risk factors were less strongly associated with VTE than CHD. There were inconsistent associations of VTEs with diabetes and blood pressure across ERFC and UK Biobank, and there was limited ability to study lipid and inflammation markers. Conclusions and Relevance Older age, smoking, and adiposity were consistently associated with higher VTE risk.
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Affiliation(s)
- John Gregson
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Stephen Kaptoge
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Thomas Bolton
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Lisa Pennells
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Peter Willeit
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Medical University of Innsbruck, Innsbruck, Austria
| | - Stephen Burgess
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- MRC Biostatistics Unit, Cambridge University, Cambridge, United Kingdom
| | - Steven Bell
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Michael Sweeting
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Eric B. Rimm
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | | | - Bengt Zöller
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Gerd Assmann
- Assmann Foundation for Prevention, Münster, Germany
| | | | - Aaron R. Folsom
- University of Minnesota School of Public Health, Minneapolis
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Astrid Fletcher
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Paul E. Norman
- University of Western Australia, Perth, Western Australia, Australia
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Bakhtawar K. Mahmoodi
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Matthew Knuiman
- University of Western Australia, Perth, Western Australia, Australia
| | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Christa Meisinger
- Ludwig Maximilian University of Munich, Munich, Germany
- Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
- Department of Internal Medicine II–Cardiology, University of Ulm Medical Center, Ulm, Germany
| | - Maryam Kavousi
- Erasmus University Medical Center, Erasmus University, Rotterdam, the Netherlands
| | | | - Jackie A. Cooper
- UCL Medical School, University College London, London, United Kingdom
| | | | | | | | - Yoav Ben-Shlomo
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Jean-Pierre Després
- Institute of Nutraceuticals and Functional Foods, Université Laval, Quebec, Quebec, Canada
| | - Leon Simons
- The University of New South Wales, Sydney, New South Wales, Australia
| | | | | | | | - Daan Kromhout
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jackie Price
- University of Edinburgh, Edinburgh, United Kingdom
| | | | | | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - John Gallacher
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Joline W. J. Beulens
- VU University Medical Center Amsterdam, Amsterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom
| | | | - Jason F. Deen
- Center of Health Equity, Diversity and Inclusion, University of Washington School of Medicine, Seattle
| | - Agustín Gómez de la Cámara
- Clinical Research and Clinical Trials Unit, Plataforma de Innovación en Tecnologías Médicas y Sanitarias, Madrid, Spain
| | - Lewis H. Kuller
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | | | | | | | | | - Hermann Brenner
- University of Minnesota School of Public Health, Minneapolis
| | | | | | - Eric J. Brunner
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Martin Shipley
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | | | - Deborah A. Lawlor
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Yvonne T. van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | | | | | - W. M. Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Philip Greenland
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | - Gordon D. O. Lowe
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Angela M. Wood
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Adam S. Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Simon G. Thompson
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Emanuele Di Angelantonio
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom
| | - Tom Meade
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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Wood AM, Kaptoge S, Butterworth AS, Willeit P, Warnakula S, Bolton T, Paige E, Paul DS, Sweeting M, Burgess S, Bell S, Astle W, Stevens D, Koulman A, Selmer RM, Verschuren WMM, Sato S, Njølstad I, Woodward M, Salomaa V, Nordestgaard BG, Yeap BB, Fletcher A, Melander O, Kuller LH, Balkau B, Marmot M, Koenig W, Casiglia E, Cooper C, Arndt V, Franco OH, Wennberg P, Gallacher J, de la Cámara AG, Völzke H, Dahm CC, Dale CE, Bergmann MM, Crespo CJ, van der Schouw YT, Kaaks R, Simons LA, Lagiou P, Schoufour JD, Boer JMA, Key TJ, Rodriguez B, Moreno-Iribas C, Davidson KW, Taylor JO, Sacerdote C, Wallace RB, Quiros JR, Tumino R, Blazer DG, Linneberg A, Daimon M, Panico S, Howard B, Skeie G, Strandberg T, Weiderpass E, Nietert PJ, Psaty BM, Kromhout D, Salamanca-Fernandez E, Kiechl S, Krumholz HM, Grioni S, Palli D, Huerta JM, Price J, Sundström J, Arriola L, Arima H, Travis RC, Panagiotakos DB, Karakatsani A, Trichopoulou A, Kühn T, Grobbee DE, Barrett-Connor E, van Schoor N, Boeing H, Overvad K, Kauhanen J, Wareham N, Langenberg C, Forouhi N, Wennberg M, Després JP, Cushman M, Cooper JA, Rodriguez CJ, Sakurai M, Shaw JE, Knuiman M, Voortman T, Meisinger C, Tjønneland A, Brenner H, Palmieri L, Dallongeville J, Brunner EJ, Assmann G, Trevisan M, Gillum RF, Ford I, Sattar N, Lazo M, Thompson SG, Ferrari P, Leon DA, Smith GD, Peto R, Jackson R, Banks E, Di Angelantonio E, Danesh J. Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies. Lancet 2018; 391:1513-1523. [PMID: 29676281 PMCID: PMC5899998 DOI: 10.1016/s0140-6736(18)30134-x] [Citation(s) in RCA: 686] [Impact Index Per Article: 114.3] [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: 09/01/2017] [Revised: 11/03/2017] [Accepted: 12/05/2017] [Indexed: 02/02/2023]
Abstract
BACKGROUND Low-risk limits recommended for alcohol consumption vary substantially across different national guidelines. To define thresholds associated with lowest risk for all-cause mortality and cardiovascular disease, we studied individual-participant data from 599 912 current drinkers without previous cardiovascular disease. METHODS We did a combined analysis of individual-participant data from three large-scale data sources in 19 high-income countries (the Emerging Risk Factors Collaboration, EPIC-CVD, and the UK Biobank). We characterised dose-response associations and calculated hazard ratios (HRs) per 100 g per week of alcohol (12·5 units per week) across 83 prospective studies, adjusting at least for study or centre, age, sex, smoking, and diabetes. To be eligible for the analysis, participants had to have information recorded about their alcohol consumption amount and status (ie, non-drinker vs current drinker), plus age, sex, history of diabetes and smoking status, at least 1 year of follow-up after baseline, and no baseline history of cardiovascular disease. The main analyses focused on current drinkers, whose baseline alcohol consumption was categorised into eight predefined groups according to the amount in grams consumed per week. We assessed alcohol consumption in relation to all-cause mortality, total cardiovascular disease, and several cardiovascular disease subtypes. We corrected HRs for estimated long-term variability in alcohol consumption using 152 640 serial alcohol assessments obtained some years apart (median interval 5·6 years [5th-95th percentile 1·04-13·5]) from 71 011 participants from 37 studies. FINDINGS In the 599 912 current drinkers included in the analysis, we recorded 40 310 deaths and 39 018 incident cardiovascular disease events during 5·4 million person-years of follow-up. For all-cause mortality, we recorded a positive and curvilinear association with the level of alcohol consumption, with the minimum mortality risk around or below 100 g per week. Alcohol consumption was roughly linearly associated with a higher risk of stroke (HR per 100 g per week higher consumption 1·14, 95% CI, 1·10-1·17), coronary disease excluding myocardial infarction (1·06, 1·00-1·11), heart failure (1·09, 1·03-1·15), fatal hypertensive disease (1·24, 1·15-1·33); and fatal aortic aneurysm (1·15, 1·03-1·28). By contrast, increased alcohol consumption was log-linearly associated with a lower risk of myocardial infarction (HR 0·94, 0·91-0·97). In comparison to those who reported drinking >0-≤100 g per week, those who reported drinking >100-≤200 g per week, >200-≤350 g per week, or >350 g per week had lower life expectancy at age 40 years of approximately 6 months, 1-2 years, or 4-5 years, respectively. INTERPRETATION In current drinkers of alcohol in high-income countries, the threshold for lowest risk of all-cause mortality was about 100 g/week. For cardiovascular disease subtypes other than myocardial infarction, there were no clear risk thresholds below which lower alcohol consumption stopped being associated with lower disease risk. These data support limits for alcohol consumption that are lower than those recommended in most current guidelines. FUNDING UK Medical Research Council, British Heart Foundation, National Institute for Health Research, European Union Framework 7, and European Research Council.
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Affiliation(s)
- Angela M Wood
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Adam S Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Peter Willeit
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Medical University Innsbruck, Innsbruck, Austria
| | - Samantha Warnakula
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Thomas Bolton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ellie Paige
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Dirk S Paul
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Michael Sweeting
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Steven Bell
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - William Astle
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - David Stevens
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Albert Koulman
- NIHR BRC Nutritional Biomarker Laboratory, University of Cambridge, Cambridge, UK
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Shinichi Sato
- Chiba Prefectural Institute of Public Health, Chiba, Japan
| | - Inger Njølstad
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Mark Woodward
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK; The George Institute for Global Health, University of Sydney, Sydney, NSW, Australia; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Veikko Salomaa
- THL-National Institute for Health and Welfare, Helsinki, Finland
| | - Børge G Nordestgaard
- Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Bu B Yeap
- School of Medicine, University of Western Australia, Perth, WA, Australia; Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, Perth, WA, Australia
| | | | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Lewis H Kuller
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Wolfgang Koenig
- 92 Deutsches Herzzentrum München, Technische Universität München, Munich, Germany, DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany; University of Ulm Medical Center, Ulm, Germany
| | | | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Volker Arndt
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oscar H Franco
- Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - John Gallacher
- Department of Primary Care and Public Health, Cardiff University, Cardiff, UK
| | | | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Caroline E Dale
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK
| | | | - Carlos J Crespo
- School of Community Health, Portland State University, Portland, OR, USA
| | - Yvonne T van der Schouw
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rudolf Kaaks
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Leon A Simons
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Pagona Lagiou
- Hellenic Health Foundation, Athens, Greece; National and Kapodistrian University of Athens, Athens, Greece; Harvard TH Chan School of Public Health, Boston, MA, USA
| | | | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Timothy J Key
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Beatriz Rodriguez
- Office of Public Health Studies, University of Hawaii, Honolulu, HI, USA
| | - Conchi Moreno-Iribas
- Instituto de Salud Pública de Navarra, IdiSNA - Navarra Institute for Health Research, Pamplona, Spain; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Pamplona, Spain
| | | | | | | | - Robert B Wallace
- College of Public Health, The University of Iowa, Iowa City, IA, USA
| | - J Ramon Quiros
- Consejería de Sanidad del Principado de Asturias, Oviedo, Asturias, Spain
| | | | - Dan G Blazer
- Duke Divinity School, Duke University, Durham, NC, USA
| | - Allan Linneberg
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Makoto Daimon
- Global Center of Excellence Program Study Group, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Salvatore Panico
- Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy
| | | | - Guri Skeie
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Timo Strandberg
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Elisabete Weiderpass
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway; Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Paul J Nietert
- Medical University of South Carolina, Charleston, SC, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Daan Kromhout
- Department of Agrotechnology and Food Sciences, University of Wageningen, Wageningen, Netherlands; Faculty of Medical Sciences, University of Groningen, Groningen, Netherlands
| | - Elena Salamanca-Fernandez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | | | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Domenico Palli
- Cancer Research and Prevention Institute (ISPO), Florence, Italy
| | - José M Huerta
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Jackie Price
- Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Larraitz Arriola
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Instituto BIO-Donostia, Basque Government, San Sebastian, Spain
| | - Hisatomi Arima
- The University of Sydney and Royal Prince Alfred Hospital, Sydney, NSW, Australia; Department of Preventive Medicine and Public Health, Kyushu University, Fukuoka, Japan
| | - Ruth C Travis
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece; National and Kapodistrian University of Athens, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; National and Kapodistrian University of Athens, Athens, Greece
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Diederick E Grobbee
- Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Natasja van Schoor
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, Netherlands
| | - Heiner Boeing
- German Institute of Human Nutrition, Potsdam-Rehbrüke, Germany
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark; Aalborg University Hospital, Aalborg, Denmark
| | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Nick Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Claudia Langenberg
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Nita Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Maria Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Mary Cushman
- Department of Medicine, University of Vermont, Burlington, VT, USA
| | - Jackie A Cooper
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Carlos J Rodriguez
- Wake Forest University School of Medicine, Winston-Salem, NC, USA; Wake Forest Baptist Medical Center, Winston-Salem, NC, USA
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Jonathan E Shaw
- Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Matthew Knuiman
- Busselton Population Medical Research Institute, Busselton, WA, Australia; School of Population and Global Health, The University of Western Australia, Perth, WA, Australia
| | - Trudy Voortman
- Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Christa Meisinger
- Helmholtz Zentrum München German Research Center for Environmental Health, Germany
| | | | - Hermann Brenner
- German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Clinical Epidemiology and Aging Research, University of Heidelberg, Heidelberg, Germany
| | | | | | - Eric J Brunner
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Gerd Assmann
- Assmann-Stiftung für Prävention, Münster, Germany
| | | | | | - Ian Ford
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Mariana Lazo
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Simon G Thompson
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Pietro Ferrari
- International Agency for Research on Cancer, Lyon, France
| | - David A Leon
- London School of Hygiene & Tropical Medicine, London, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - Richard Peto
- Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Rod Jackson
- School of Population Health, The University of Auckland, Auckland, New Zealand
| | - Emily Banks
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | | | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
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Bienen L, Crespo CJ, Keller TE, Weinstein AR. Enhancing Institutional Research Capacity: Results and Lessons from a Pilot Project Program. J Res Adm 2018; 49:64-90. [PMID: 34552394 PMCID: PMC8455099] [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] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The National Institutes of Health (NIH) established the Building University Infrastructure Leading to Diversity (BUILD) initiative to increase engagement and retention of undergraduates from diverse backgrounds in biomedical research. Portland State University, in partnership with ten other academic institutions, received a BUILD award and developed the BUILD EXITO (Enhancing Cross-Disciplinary Infrastructure and Training at Oregon) project. The EXITO program offers a three-year research and mentorship experience for undergraduates in biomedical, behavioral, social science, clinical, and bioengineering disciplines. The BUILD initiative also emphasizes enhancing research capacity and infrastructure through institutional change and faculty development. A key piece of EXITO's program to enhance research capacity is offering faculty an opportunity to apply for up to $50,000 of funding to carry out a one-year pilot study. We conducted two separate RFAs for this purpose, closely modeled on NIH's Small Grant Program (R03), over two years. Principal Investigators of pilot projects were encouraged to include EXITO students, or other undergraduate students, on their research teams. Students then worked on these research projects as part of EXITO's intensive mentored research program. This paper reports on methods to conduct and implement a pilot project program intended to train primarily junior faculty members to write and submit an NIH proposal and fund successful applicants to gather pilot project data to aid in applying for future proposals. We provided a step-by-step rigorous submission and review process. We provided proposal writing and revising workshops, technical support, and helped pilot project Principal Investigators (PIs) with biosketches, IRB applications, IUCUC documents, budgets, and other proposal sections. We secured at least three external (not at any BUILD EXITO institution) reviewers for each proposal. PIs revised proposals before resubmitting and receiving their final scores. Across two RFAs, we provided funds twenty PIs to conduct pilot projects; these projects included at least 21 students working on them who received mentoring in research methods and in disseminating results. This paper describes important lessons learned, including the importance of: allotting sufficient time to recruit reviewers; recruiting reviewers through a variety of sources and methods; and assisting PIs in engaging with research administration staff at Portland State University and partner institutions. Challenges included: finding an optimal timeline that was neither too compressed nor too stretched out; encouraging applicants from distant partner institutions to apply and keeping them engaged and retained through the entire process; and assisting PIs from partner institutions to efficiently utilize Portland State University's sponsored projects department if similar resources were not available at their home institutions. Our goal is to provide guidance and insights to faculty and research-administration staff at other institutions interested in replicating or adapting EXITO's program to enhance institutional research capacity.
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Affiliation(s)
- Leslie Bienen
- Oregon Health and Science University-Portland State University Joint School of Public Health
| | - Carlos J Crespo
- Oregon Health and Science University-Portland State University Joint School of Public Health
| | - Thomas E Keller
- Portland State University School of Social Work; Center for Interdisciplinary Mentoring Research at Portland State University
| | - Alexandra R Weinstein
- Oregon Health and Science University-Portland State University Joint School of Public Health; Portland State University School of Social Work
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Abstract
Background and purpose As part of the NIH BUILD initiative to diversify the scientific workforce, the EXITO project is a large multi-institutional effort to provide comprehensive support and training for undergraduates from traditionally underrepresented student populations who aspire to health-related research careers. Portland State University, a major public urban university that prioritizes student access and opportunity, and Oregon Health & Science University, a research-intensive academic health center, lead the EXITO network comprised of eleven 2-year and 4-year institutions of higher education spanning Oregon, Washington, Alaska, Hawaii, Guam, American Samoa, and the Northern Mariana Islands. The EXITO project aims for impact in biomedical research by training diverse scholars from indigenous and underserved communities affected by adverse health disparities. Project approach Guided by socio-ecological theory, the EXITO project is a multi-level intervention offering a three-year research training pathway for scholars in the biomedical, behavioral, health, and social sciences. Fundamental components of the model include student outreach and engagement, integrated curricular enhancements, intensive research experiences, multi-faceted developmental mentoring, supportive community and services, and rigorous evaluation and quality improvement. EXITO also advances faculty and institutional development in these domains by holding curriculum development conferences, creating research learning communities, awarding pilot project research funding, providing mentor training and ongoing support, collaborating with other research equity programs, and developing campus infrastructure and services to support scholars with diverse backgrounds and needs. Highlights The large and geographically broad network of EXITO institutions engages a range of diverse students, including indigenous populations and students beginning post-secondary education at community colleges. The EXITO model specifically accommodates many students transferring from 2-year partner institutions and facilitates seamless transfer to the 4-year institution. EXITO features several approaches to research training, including supported summer entry into research placements, the incorporation of responsible conduct of research content into general education curriculum, and the intentional matching of scholars with three types of mentors (e.g., peer, career, research). Implications EXITO provides an example of a comprehensive research training initiative for traditionally underrepresented students that can be implemented across a diverse range of 2-year and 4-year institutions.
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Affiliation(s)
- Dawn M Richardson
- 1School of Community Health, College of Urban and Public Affairs, Portland State University, Portland, OR 97207 USA
| | - Thomas E Keller
- 2School of Social Work, Portland State University, Portland, OR 97207 USA.,3Center for Interdisciplinary Mentoring Research, Portland State University, Portland, OR 97207 USA
| | - De' Sha S Wolf
- 3Center for Interdisciplinary Mentoring Research, Portland State University, Portland, OR 97207 USA
| | - Adrienne Zell
- 4Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239 USA
| | - Cynthia Morris
- 3Center for Interdisciplinary Mentoring Research, Portland State University, Portland, OR 97207 USA.,4Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR 97239 USA
| | - Carlos J Crespo
- 1School of Community Health, College of Urban and Public Affairs, Portland State University, Portland, OR 97207 USA.,3Center for Interdisciplinary Mentoring Research, Portland State University, Portland, OR 97207 USA
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Grant M, Brown C, Caiaffa WT, Capon A, Corburn J, Coutts C, Crespo CJ, Ellis G, Ferguson G, Fudge C, Hancock T, Lawrence RJ, Nieuwenhuijsen MJ, Oni T, Thompson S, Wagenaar C, Ward Thompson C. Cities and health: an evolving global conversation. ACTA ACUST UNITED AC 2017. [DOI: 10.1080/23748834.2017.1316025] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Marcus Grant
- Expert Advisor to the World Health Organization, Bristol, UK
| | - Caroline Brown
- Environmental Planning & Healthy Environments, The Urban Institute, School of Energy, Geosciences, Infrastructure and Society, Heriot-Watt University, Edinburgh, UK
| | - Waleska T. Caiaffa
- Faculdada De Medecina, Universidade Federal De Minas Gerais, Observatory for Urban Health in Bel, Belo Horizante, Brazil
| | - Anthony Capon
- Sydney School of Public Health, The University of Sydney, Sydney, Australia
| | - Jason Corburn
- College of Environmental Design, University of California, Berkeley, CA, USA
| | - Chris Coutts
- Urban & Regional Planning, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL, USA
| | - Carlos J. Crespo
- Center for Public Health Studies, School of Community Health, College of Urban and Public Affairs, Portland State University, Portland, OR, USA
| | - Geraint Ellis
- School of Natural and Built Environment, Queen’s University, Belfast
| | | | - Colin Fudge
- Chalmers University of Technology, Sweden
- College of Design & Social Context, RMIT University, Melbourne, Australia
| | - Trevor Hancock
- Public Health and Social Policy, University of Victoria, Victoria, Canada
| | - Roderick J. Lawrence
- Institute of Environmental Sciences, University of Geneva, Geneva, Switzerland
- United Nations University (International Institute for Global Health: UNU-IIGH), Malaysia
| | - Mark J. Nieuwenhuijsen
- Centre for Research in Environmental Epidemiology, Barcelona Institute for Global Health (ISGlobal) – Campus MAR, Barcelona Biomedical Research Park (PRBB), Barcelona, Spain
| | - Tolu Oni
- Faculty of Health Sciences, Department of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Susan Thompson
- UNSW Built Environment, The University of New South Wales, Sydney, Australia
| | - Cor Wagenaar
- Department of Architecture, TU Delft, Julianalaan, Delft
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Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS, Bansal N, O'Keeffe LM, Gao P, Wood AM, Burgess S, Freitag DF, Pennells L, Peters SA, Hart CL, Håheim LL, Gillum RF, Nordestgaard BG, Psaty BM, Yeap BB, Knuiman MW, Nietert PJ, Kauhanen J, Salonen JT, Kuller LH, Simons LA, van der Schouw YT, Barrett-Connor E, Selmer R, Crespo CJ, Rodriguez B, Verschuren WMM, Salomaa V, Svärdsudd K, van der Harst P, Björkelund C, Wilhelmsen L, Wallace RB, Brenner H, Amouyel P, Barr ELM, Iso H, Onat A, Trevisan M, D'Agostino RB, Cooper C, Kavousi M, Welin L, Roussel R, Hu FB, Sato S, Davidson KW, Howard BV, Leening MJG, Leening M, Rosengren A, Dörr M, Deeg DJH, Kiechl S, Stehouwer CDA, Nissinen A, Giampaoli S, Donfrancesco C, Kromhout D, Price JF, Peters A, Meade TW, Casiglia E, Lawlor DA, Gallacher J, Nagel D, Franco OH, Assmann G, Dagenais GR, Jukema JW, Sundström J, Woodward M, Brunner EJ, Khaw KT, Wareham NJ, Whitsel EA, Njølstad I, Hedblad B, Wassertheil-Smoller S, Engström G, Rosamond WD, Selvin E, Sattar N, Thompson SG, Danesh J. Association of Cardiometabolic Multimorbidity With Mortality. JAMA 2015; 314:52-60. [PMID: 26151266 PMCID: PMC4664176 DOI: 10.1001/jama.2015.7008] [Citation(s) in RCA: 521] [Impact Index Per Article: 57.9] [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] [Indexed: 12/25/2022]
Abstract
IMPORTANCE The prevalence of cardiometabolic multimorbidity is increasing. OBJECTIVE To estimate reductions in life expectancy associated with cardiometabolic multimorbidity. DESIGN, SETTING, AND PARTICIPANTS Age- and sex-adjusted mortality rates and hazard ratios (HRs) were calculated using individual participant data from the Emerging Risk Factors Collaboration (689,300 participants; 91 cohorts; years of baseline surveys: 1960-2007; latest mortality follow-up: April 2013; 128,843 deaths). The HRs from the Emerging Risk Factors Collaboration were compared with those from the UK Biobank (499,808 participants; years of baseline surveys: 2006-2010; latest mortality follow-up: November 2013; 7995 deaths). Cumulative survival was estimated by applying calculated age-specific HRs for mortality to contemporary US age-specific death rates. EXPOSURES A history of 2 or more of the following: diabetes mellitus, stroke, myocardial infarction (MI). MAIN OUTCOMES AND MEASURES All-cause mortality and estimated reductions in life expectancy. RESULTS In participants in the Emerging Risk Factors Collaboration without a history of diabetes, stroke, or MI at baseline (reference group), the all-cause mortality rate adjusted to the age of 60 years was 6.8 per 1000 person-years. Mortality rates per 1000 person-years were 15.6 in participants with a history of diabetes, 16.1 in those with stroke, 16.8 in those with MI, 32.0 in those with both diabetes and MI, 32.5 in those with both diabetes and stroke, 32.8 in those with both stroke and MI, and 59.5 in those with diabetes, stroke, and MI. Compared with the reference group, the HRs for all-cause mortality were 1.9 (95% CI, 1.8-2.0) in participants with a history of diabetes, 2.1 (95% CI, 2.0-2.2) in those with stroke, 2.0 (95% CI, 1.9-2.2) in those with MI, 3.7 (95% CI, 3.3-4.1) in those with both diabetes and MI, 3.8 (95% CI, 3.5-4.2) in those with both diabetes and stroke, 3.5 (95% CI, 3.1-4.0) in those with both stroke and MI, and 6.9 (95% CI, 5.7-8.3) in those with diabetes, stroke, and MI. The HRs from the Emerging Risk Factors Collaboration were similar to those from the more recently recruited UK Biobank. The HRs were little changed after further adjustment for markers of established intermediate pathways (eg, levels of lipids and blood pressure) and lifestyle factors (eg, smoking, diet). At the age of 60 years, a history of any 2 of these conditions was associated with 12 years of reduced life expectancy and a history of all 3 of these conditions was associated with 15 years of reduced life expectancy. CONCLUSIONS AND RELEVANCE Mortality associated with a history of diabetes, stroke, or MI was similar for each condition. Because any combination of these conditions was associated with multiplicative mortality risk, life expectancy was substantially lower in people with multimorbidity.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Pei Gao
- University of Cambridge, Cambridge, England
| | | | | | | | | | - Sanne A Peters
- University Medical Center Utrecht, Utrecht, the Netherlands
| | | | | | | | | | | | - Bu B Yeap
- University of Western Australia, Perth
| | | | - Paul J Nietert
- Department of Public Health Sciences, Medical University of South Carolina, Charleston
| | | | | | | | - Leon A Simons
- University of New South Wales, New South Wales, Australia
| | | | | | - Randi Selmer
- Norwegian Institute of Public Health, Oslo, Norway
| | | | | | | | - Veikko Salomaa
- National Institute for Health and Welfare, Helsinki, Finland
| | | | - Pim van der Harst
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | | | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | | | | | | | | | | | | | - Cyrus Cooper
- University of Southampton, Southampton, England32University of Oxford, Oxford, England
| | | | | | - Ronan Roussel
- INSERM, Centre de Recherche des Cordeliers, Paris, France36Université Paris Diderot, Paris, France37Diabétologie, AP-HP, Département Hospitalo-Universitaire FIRE, Hôpital Bichat, Paris, France
| | - Frank B Hu
- Harvard School of Public Health, Boston, Massachusetts
| | - Shinichi Sato
- Osaka Medical Center for Health Science and Promotion/Chiba Prefectural Institute of Public Health, Suita, Japan
| | | | | | | | | | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marcus Dörr
- University Medicine Greifswald, Greifswald, Germany44DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Dorly J H Deeg
- Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | | | | | | | | | | | | | - Jackie F Price
- Centre for Population Health Sciences, University of Edinburgh, Edinburgh, Scotland
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany52German Research Center for Cardiovascular Research (DZHK eV), Partner-Site Munich, Munich, Germany
| | - Tom W Meade
- London School of Hygiene and Tropical Medicine, London, England
| | | | | | | | | | | | - Gerd Assmann
- Assmann-Stiftung für Prävention, Munster, Germany
| | - Gilles R Dagenais
- Institut Universitaire de Cardiologie et Pneumologie de Québec, Quebec, Canada
| | | | | | | | | | | | | | - Eric A Whitsel
- Department of Medicine, University of North Carolina, Chapel Hill65Department of Epidemiology, University of North Carolina, Chapel Hill
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Loprinzi PD, Crespo CJ, Andersen RE, Smit E. Association of body mass index with cardiovascular disease biomarkers. Am J Prev Med 2015; 48:338-44. [PMID: 25442230 DOI: 10.1016/j.amepre.2014.08.019] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [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] [Received: 05/21/2014] [Revised: 07/22/2014] [Accepted: 08/13/2014] [Indexed: 10/24/2022]
Abstract
BACKGROUND Few studies have examined the underweight-morbidity relationship, and those that have were conducted in non-U.S. populations and limited in their evaluation of cardiovascular disease (CVD) risk factors. PURPOSE To examine the associations among underweight (along with overweight and obese) and various CVD risk factors in a national sample of U.S. adults (aged ≥20 years). METHODS Ten years of data (1999-2010) from the National Health and Nutrition Examination Survey were used (analyzed in 2014). Underweight (tertiles); overweight (25-29.9); and obesity (three classes: 30-34.9, 35-39.9, and ≥40) were assessed from measured BMI. The evaluated biological and anthropometric markers included waist circumference; mean arterial pressure; C-reactive protein (CRP); fasting low-density lipoprotein (LDL) cholesterol; total cholesterol; fasting triglycerides; and fasting glucose. RESULTS After adjustments, underweight adults had significantly (p<0.005) lower levels of CRP (β=-0.12, Tertile 2); total cholesterol (β=-17.7 and -12.2, Tertiles 1 and 3); total cholesterol to high-density lipoprotein cholesterol ratio (β=-0.39 and -0.46, Tertiles 2 and 3); LDL cholesterol (β=-20.7, Tertile 1); and triglycerides (β=-37.1 and -18.0, Tertiles 1 and 3) compared to normal-weight individuals. The severely underweight and obese were less likely to be physically active than normal-weight adults (p<0.001). Adults in each of the overweight and obese groups had higher levels for each biomarker compared to normal-weight individuals. CONCLUSIONS Underweight adults have lower (i.e., more favorable) levels of various CVD biomarkers.
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Affiliation(s)
- Paul D Loprinzi
- Department of Health, Exercise Science, and Recreation Management, School of Applied Sciences, The University of Mississippi, University, Mississippi.
| | - Carlos J Crespo
- School of Community Health, Portland State University, Portland
| | - Ross E Andersen
- Department of Kinesiology and Physical Education, McGill University, Montreal, Quebec, Canada
| | - Ellen Smit
- Program in Epidemiology, School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
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Loprinzi PD, Lee IM, Andersen RE, Crespo CJ, Smit E. Association of Concurrent Healthy Eating and Regular Physical Activity With Cardiovascular Disease Risk Factors in U.S. Youth. Am J Health Promot 2014; 30:2-8. [PMID: 25372232 DOI: 10.4278/ajhp.140213-quan-71] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE Examine whether concurrently consuming a healthy diet and regularly being physically active among U.S. youth is more favorably associated with cardiovascular disease (CVD) biomarkers than other physical activity and dietary patterns. DESIGN Cross-sectional. SETTING United States (National Health and Nutrition Examination Survey) 2003-2006. SUBJECTS Two thousand six hundred twenty-nine youth (6-17 years). MEASURES Healthy Eating Index (HEI), accelerometer-determined physical activity, biomarkers, and anthropometry. Four categories were created: consuming a healthy diet (top 40% of HEI) and active (sufficient to meet guidelines); unhealthy diet and active; healthy diet and inactive; and unhealthy diet and inactive. ANALYSIS Multivariable regression. RESULTS Children consuming a healthy diet and who were active had significantly lower waist circumference (β = -5.5, p < .006), C-reactive protein (CRP) (β = -.2, p < .006), and triglycerides (β = -27.9, p < .006) than children consuming an unhealthy diet and who were inactive. Children engaging in both healthy behaviors had significantly lower CRP (β = -.11, p < .001) and total cholesterol levels (β = -7.8, p = .004) than those only engaging in sufficient activity; there were no significant differences in biomarker levels among children engaging in both healthy behaviors and those only consuming a healthy diet. No associations were significant for adolescents. CONCLUSION Concurrent healthy eating and regular physical activity among children is favorably associated with CVD biomarkers when compared with unhealthy diet and inactivity.
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Mansilla-Rivera I, Nazario CM, Ramírez-Marrero FA, Crespo CJ, Rodríguez-Sierra CJ. Assessing arsenic exposure from consumption of seafood from Vieques-Puerto Rico: a pilot biomonitoring study using different biomarkers. Arch Environ Contam Toxicol 2014; 66:162-175. [PMID: 24253585 DOI: 10.1007/s00244-013-9962-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Accepted: 10/15/2013] [Indexed: 06/02/2023]
Abstract
The various toxic effects associated with inorganic arsenic (iAs) warrants that exposure sources be identified. This pilot study evaluated if greater seafood consumption from Vieques-Puerto Rico is associated with increased exposure to iAs. Nail, hair, and urine samples were used as biomarkers of iAs exposure in adult women and men from Vieques classified as high (n = 31) and low (n = 21) seafood consumers, who reported eating fish and/or shellfish ≥1 time per week and once per month or less, respectively. The sum of urinary iAs (As III + As V), monomethylarsonic acid (MA[V]), and dimethylarsinic acid (DMA[V]), denoted as SumAs, fluctuated from 3.3 µg/g Cr (1.2 μg/L) to 42.7 μg/g Cr (42 μg/L) (n = 52). Levels of As in nail samples (n = 49) varied from 0.04 to 0.82 μg/g dry weight (dw), whereas in hair (n = 49) As was only detected in 49 % of the samples with a maximum value of 0.95 μg/g dw. None of the biomarkers of exposure to As exceeded exposure reference values for urine (50 μg/g Cr or 50 μg/L), nails (1 μg/g), or hair (1 μg/g). However, median (10.0 μg/g Cr; 10.6 μg/L) and 95th percentile (31.9 μg/g Cr; 40.4 μg/L) of urinary SumAs were higher in Vieques samples than in the those from the general population of other countries. Among the three biomarkers of exposure, nail samples reflected better the exposure to iAs from seafood consumption with significantly higher average As concentrations in high (0.24 μg/g) than low (0.12 μg/g) seafood consumers. Multivariate results for As in nail samples (R(2) = 0.55, p < 0.0001) showed a positive association with fish consumption, particularly for men, with levels increasing with years of residency in Vieques.
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Affiliation(s)
- Imar Mansilla-Rivera
- Department of Environmental Health, Graduate School of Public Health, University of Puerto Rico-Medical Sciences Campus, San Juan, PR, USA
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Crespo CJ. Healthcare Utilization of Subgroups of Latinas: Shortfalls in Data Interpretation. J Womens Health (Larchmt) 2013; 22:877. [DOI: 10.1089/jwh.2012.4120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Carlos J. Crespo
- School of Community Health, Portland State University, Portland, Oregon
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Mehta T, McCubrey R, Pajewski NM, Keith SW, Allison DB, Crespo CJ, Fontaine KR. Does obesity associate with mortality among Hispanic persons? Results from the National Health Interview Survey. Obesity (Silver Spring) 2013; 21:1474-7. [PMID: 23596157 PMCID: PMC4451932 DOI: 10.1002/oby.20105] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Accepted: 08/31/2012] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the association between BMI: kg/m(2) and mortality among Hispanic adults. DESIGN AND METHODS Eight years (1997-2004) of National Health Interview Survey data linked to public-use mortality follow-up data through 2006 were acquired. Using Cox proportional hazards regression, separate models for two attained age strata (18 to <60 years, ≥60 years) adjusting for sex, smoking, and physical activity with over 38,000 analyzable respondents were fit. RESULTS Among those aged ≥60 years, underweight (BMI ≤ 18.5) associated with elevated mortality (hazard ratio [HR] = 2.19; 95% confidence interval [CI], 1.38-3.46), whereas overweight (BMI of 25 to <30) and obesity grade 1 (BMI of 30 to <35) associated with reduced mortality (HRs = 0.79; 95% CI, 0.65-0.95 and 0.71; 95% CI, 0.56-0.91), respectively. There were no significant associations between BMI and mortality among the 18 to <60 years attained age strata or among never smokers for either age strata. CONCLUSIONS Overweight and obesity are not obviously associated with elevated mortality among Hispanic adults.
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Affiliation(s)
- Tapan Mehta
- Department of Biostatistics, Section on Statistical Genetics & Nutrition Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Raymond McCubrey
- Department of Biostatistics, Section on Statistical Genetics & Nutrition Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nicholas M. Pajewski
- Department of Biostatistics, Section on Statistical Genetics & Nutrition Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Scott W. Keith
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia, PA, USA
| | - David B. Allison
- Department of Biostatistics, Section on Statistical Genetics & Nutrition Research Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Carlos J. Crespo
- School of Community Health, Portland State University, Portland, OR, USA
| | - Kevin R. Fontaine
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
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Crespo CJ. Foreign-Born Latino Men Subgroups. Am J Mens Health 2013; 7:265. [DOI: 10.1177/1557988312470160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Loprinzi PD, Cardinal BJ, Crespo CJ, Brodowicz GR, Andersen RE, Smit E. Differences in demographic, behavioral, and biological variables between those with valid and invalid accelerometry data: implications for generalizability. J Phys Act Health 2013; 10:79-84. [PMID: 22398390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
BACKGROUND The exclusion of participants with invalid accelerometry data (IAD) may lead to biased results and/or lack of generalizability in large population studies. The purpose of this study was to investigate whether demographic, behavioral, and biological differences occur between those with IAD and valid accelerometry data (VAD) among adults using a representative sample of the civilian noninstitutionalized U.S. population. METHODS Ambulatory participants from NHANES (2003-2004) who were 20-85 years of age were included in the current study and wore an ActiGraph 7164 accelerometer for 7 days. A "valid person" was defined as those with 4 or more days of at least 10+ hrs of monitoring per day. Among adults (20-85 yrs), 3088 participants provided VAD and 987 provided IAD. Demographic, behavioral, and biological information were obtained from the household interview or from data obtained in a mobile examination center. RESULTS Differences were observed in age, BMI, ethnicity, education, smoking status, marital status, use of street drugs, current health status, HDL-cholesterol, C-reactive protein, self-reported vigorous physical activity, and plasma glucose levels between those with VAD and IAD. CONCLUSIONS Investigators should take into consideration the potential cut-off bias in interpreting results based on data that excludes IAD participants.
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Affiliation(s)
- Paul D Loprinzi
- Department of Exercise Science, Bellarmine University, Louisville, KY, USA
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Andersen RE, Crespo CJ, Bartlett SJ, Bathon JM, Fontaine KR. Relationship between Body Weight Gain and Significant Knee, Hip, and Back Pain in Older Americans. ACTA ACUST UNITED AC 2012; 11:1159-62. [PMID: 14569039 DOI: 10.1038/oby.2003.159] [Citation(s) in RCA: 99] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To examine the association between BMI (kilograms per meter squared) and reports of significant knee, hip, and back pain using data from a nationally representative sample of U.S. adults 60 years or older. RESEARCH METHODS AND PROCEDURES Population-based survey data from the Third National Health and Nutrition Examination Survey, involving 5724 adults 60 years or older, were used. BMI, calculated from measured weight (kilograms) and height (meters squared), was used to categorize participants into six BMI-defined groups: underweight (<18.5), desirable weight (18.5 to 24.9), overweight (25 to 29.9), obese class I (30 to 34.9), obese class II (35 to 39.9), and obese class III (>/=40). The presence of significant knee, hip, and back pain in the groups was studied. RESULTS The overall prevalences of knee, hip, and back pain were 21%, 14%, and 22%, respectively. Prevalence estimates for knee (underweight 12.1% to obesity class III 55.7%), hip (underweight 10.4% to obesity class III 23.3%), and back (underweight 20.2% to obesity class III 26.1%) pain increased with increased BMI. Sex-, race-, and age-specific pain prevalence estimates also generally increased at increased levels of BMI. DISCUSSION Among U.S. adults 60 years or older, the prevalence of significant knee, hip, and back pain increases with increased levels of BMI.
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Affiliation(s)
- Ross E Andersen
- Divisions of Geriatric Medicine and Gerontology and. Rheumatology, Johns Hopkins School of Medicine, Baltimore, Maryland 21224, USA.
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Loprinzi PD, Lee H, Cardinal BJ, Crespo CJ, Andersen RE, Smit E. The relationship of actigraph accelerometer cut-points for estimating physical activity with selected health outcomes: results from NHANES 2003-06. Res Q Exerc Sport 2012; 83:422-430. [PMID: 22978192 DOI: 10.1080/02701367.2012.10599877] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
The purpose of this study was to examine the influence of child and adult cut-points on physical activity (PA) intensity, the prevalence of meeting PA guidelines, and association with selected health outcomes. Participants (6,578 adults > or = 18 years, and 3,174 children and adolescents < or = 17 years) from the National Health and Nutrition Examination Survey 2003-06 (Centers for Disease Control and Prevention, 2006) wore an accelerometer for 7 days. PA intensity was estimated with 5 child-derived and 12 adult-derived cut-points. For all, the cut-point influenced PA intensity and the prevalence of meeting PA guidelines. Similarly, cut-point selection influenced the relationship between physical activity and various health outcomes. Future research should further enhance meaningful cut-points relevant to populations with diverse health and age profiles.
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Affiliation(s)
- Paul D Loprinzi
- Department of Exercise Science, Bellarmine University, Louisville, KY 40205, USA.
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Reed SB, Crespo CJ, Harvey W, Andersen RE. Social isolation and physical inactivity in older US adults: Results from the Third National Health and Nutrition Examination Survey. Eur J Sport Sci 2011. [DOI: 10.1080/17461391.2010.521585] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Torres CM, Brodowicz GR, Crespo CJ, Smit E, Andersen R. The Relationship Of Screen Time With Serum Vitamin D In U.S. Youth Aged 12-17 Years. Med Sci Sports Exerc 2011. [DOI: 10.1249/01.mss.0000401406.11516.f7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Ramírez-Marrero FA, Smit E, De La Torre-Feliciano T, Pérez-Irizarry J, Miranda S, Cruz M, Figueroa-Vallés NR, Crespo CJ, Nazario CM. Risk of cancer among Hispanics with AIDS compared with the general population in Puerto Rico: 1987-2003. P R Health Sci J 2010; 29:256-264. [PMID: 20799513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
BACKGROUND The risk of cancer among Hispanics with Acquired Immune Deficiency Syndrome (AIDS) in the United States and Puerto Rico (PR) has not been well described. The purpose of this study was to determine the risk of AIDS related and non-AIDS related cancers among Hispanics with AIDS in PR. METHODS A probabilistic record linkage of the PR AIDS Surveillance Program and PR Central Cancer Registry databases was conducted. AIDS cases were grouped according to year of AIDS onset and antiretroviral therapy availability: 1987-1989 (limited availability), 1990-1995 (mono and dual therapy), and 1996-2003 (highly active antiretroviral therapy: HAART). Cancer risk was described using the standardized incidence ratios (SIR). RESULTS A total of 612 cancers were identified after 3 months of AIDS diagnosis: 409 (66.7%) AIDS related and 203 (33.1%) non-AIDS related. Although a decreasing trend in the risk of AIDS and non-AIDS related cancers was observed, the risk for both remained higher in the AIDS group compared to the general population in PR. Non-AIDS related cancers with higher risk during the HAART availability were: oropharyngeal, anal, liver, larynx, eye and orbit, Hodgkin lymphoma, and vaginal. CONCLUSION Hispanics with AIDS in PR consistently showed a greater risk of AIDS and non-AIDS related cancers compared to the general population in PR and that has not changed over time.
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Tumiel-Berhalter LM, McLaughlin-Diaz V, Vena J, Crespo CJ. Building community research capacity: process evaluation of community training and education in a community-based participatory research program serving a predominantly Puerto Rican community. Prog Community Health Partnersh 2010; 1:89-97. [PMID: 19649164 DOI: 10.1353/cpr.0.0008] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Education and training build community research capacity and have impact on improvements of health outcomes. OBJECTIVES This manuscript describes the training and educational approaches to building research capacity that were utilized in a community-based participatory research program serving a Puerto Rican population and identifies barriers and strategies for overcoming them. METHODS A process evaluation identified a multitiered approach to training and education that was critical to reaching the broad community. RESULTS This approach included four major categories providing a continuum of education and training opportunities: networking, methods training, on-the-job experience, and community education. Participation in these opportunities supported the development of a registry, the implementation of a survey, and two published manuscripts. Barriers included the lack of a formal evaluation of the education and training components, language challenges that limited involvement of ethnic groups other than Puerto Ricans, and potential biases associated with the familiarity of the data collector and the participant. The CBPR process facilitated relationship development between the university and the community and incorporated the richness of the community experience into research design. Strategies for improvement include incorporating evaluation into every training and educational opportunity and developing measures to quantify research capacity at the individual and community levels. CONCLUSIONS Evaluating training and education in the community allows researchers to quantify the impact of CBPR on building community research capacity.
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Smit E, Sempos CT, Rehm J, Huguet N, Crespo CJ. The relationship between alcohol intake and mortality in Whites, Blacks and Hispanics using the NHIS Mortality Linked Data Set. FASEB J 2010. [DOI: 10.1096/fasebj.24.1_supplement.943.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ellen Smit
- Public HealthOregon State UniversityCorvallisOR
| | | | - Jurgen Rehm
- Public Health and Regulatory PoliciesCentre for Addiction and Mental HealthTorontoONCanada
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Whitt-Glover MC, Crespo CJ, Joe J. Recommendations for advancing opportunities to increase physical activity in racial/ethnic minority communities. Prev Med 2009; 49:292-3. [PMID: 19683545 DOI: 10.1016/j.ypmed.2009.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [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] [Received: 05/11/2009] [Revised: 08/10/2009] [Accepted: 08/11/2009] [Indexed: 10/20/2022]
Abstract
We provide suggestions for advancing opportunities for effective and sustainable strategies for increasing physical activity in racial/ethnic minority populations.
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Crespo CJ. Stimulating Policy Change to Promote Physical Activity in Diverse and Disadvantaged Communities. Med Sci Sports Exerc 2009. [DOI: 10.1249/01.mss.0000352747.62006.c0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Torres CM, Crespo CJ, Andersen R, Diaz GC. Body Mass Index And Physical Activity As Predictors Of Mortality In Adult Women. Med Sci Sports Exerc 2009. [DOI: 10.1249/01.mss.0000354891.57989.a3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Crespo CJ, Torres CM, Andersen RE, Smit E, Diaz G. Body Mass Index And Physical Activity As Predictors Of All-cause Mortality In White, Black, And Mexican American Men. Med Sci Sports Exerc 2009. [DOI: 10.1249/01.mss.0000355821.91797.f7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Shiels MS, Rohrmann S, Menke A, Selvin E, Crespo CJ, Rifai N, Dobs A, Feinleib M, Guallar E, Platz EA. Association of cigarette smoking, alcohol consumption, and physical activity with sex steroid hormone levels in US men. Cancer Causes Control 2009; 20:877-86. [PMID: 19277882 DOI: 10.1007/s10552-009-9318-y] [Citation(s) in RCA: 100] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2008] [Accepted: 02/18/2009] [Indexed: 10/21/2022]
Abstract
BACKGROUND We evaluated the associations of smoking, alcohol consumption, and physical activity with sex steroid hormone concentrations among 1,275 men > or =20 years old who participated in the Third National Health and Nutrition Examination Survey (NHANES III). METHODS Serum concentrations of testosterone, estradiol, and sex hormone-binding globulin (SHBG) were measured. We compared geometric mean concentrations across levels of smoking, alcohol, and physical activity using multiple linear regression. RESULTS Current smokers had higher total testosterone (5.42, 5.10, and 5.26 ng/ml in current, former, and never smokers), free testosterone (0.110, 0.102, and 0.104 ng/ml), total estradiol (40.0, 34.5, and 33.5 pg/ml), and free estradiol (1.05, 0.88, and 0.84 pg/ml) compared with former and never smokers (all p < or = 0.05). Men who consumed > or =1 drink/day had lower SHBG than men who drank less frequently (31.5 vs. 34.8 nmol/l, p = 0.01); total (p-trend = 0.08) and free testosterone (p-trend = 0.06) increased with number of drinks per day. Physical activity was positively associated with total (p-trend = 0.01) and free testosterone (p-trend = 0.05). CONCLUSIONS In this nationally representative sample of men, smoking, alcohol, and physical activity were associated with hormones and SHBG, thus these factors should be considered as possible confounders or upstream variables in studies of hormones and men's health, including prostate cancer.
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Affiliation(s)
- Meredith S Shiels
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
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Crespo CJ, Smit E, Garcia-Palmieri MR, McGee DL, Rugel EJ, Ramirez-Marrero FA, Lee IM. Effect of Physical Activity on All-Cause Mortality Among Puerto Rican Men With Metabolic Syndrome. Med Sci Sports Exerc 2008. [DOI: 10.1249/01.mss.0000321686.92638.d7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Smit E, Garcia-Palmieri MR, Figueroa NR, McGee DL, Messina M, Freudenheim JL, Crespo CJ. Protein and Legume Intake and Prostate Cancer Mortality in Puerto Rican Men. Nutr Cancer 2007; 58:146-52. [PMID: 17640160 DOI: 10.1080/01635580701328206] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Prostate cancer is the number 1 cancer killer among Puerto Rican (PR) men. Plant foods have been inversely associated with prostate cancer. Legumes play a significant role in the PR diet; consumption of legumes in PR (14 lb/capita) was double that of the United States (7 lb/capita). We examined dietary protein consumption (from baseline 24-h dietary recalls) and prostate cancer mortality in the PR Heart Health Program, a cohort study of 9,824 men aged 35-79 years at baseline (1964) with follow-up until 2005. Total protein intake in the cohort was 85 g/day, and sources of protein were 30% vegetable, 30% dairy, 31% animal, and 8% seafood protein. Legume intake was 2.3 servings/day (1/4 cup each). Legume intake was not associated with prostate cancer mortality [comparing highest quartile to lowest quartile-odds ratio (OR) 1.40 [95% confidence interval (CI) 0.91-2.18], P trend 0.17]-nor were total protein, animal, seafood, dairy, or vegetable protein intakes. Consuming 1-2 servings of fruit was inversely associated (OR 0.50, 95% CI 0.32-0.77), whereas consuming more than 2 servings of fruit was not associated with prostate cancer mortality. Thus, we find no association between legumes or protein intake and prostate cancer mortality in this longitudinal cohort study of PR men.
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Affiliation(s)
- Ellen Smit
- School of Community Health, Portland State University, Portland, OR 97201, USA.
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Borrell LN, Crespo CJ, Garcia-Palmieri MR. Skin color and mortality risk among men: the Puerto Rico Heart Health Program. Ann Epidemiol 2007; 17:335-41. [PMID: 17395482 PMCID: PMC1986750 DOI: 10.1016/j.annepidem.2006.11.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [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: 05/02/2006] [Revised: 10/08/2006] [Accepted: 11/08/2006] [Indexed: 11/30/2022]
Abstract
PURPOSE To examine the association between skin color and all-cause and cardiovascular disease (CVD)-related mortality risk before and after adjusting for selected characteristics and risk factors, we used data on 5,304 men with information on skin color at Exam 3 of the Puerto Rico Heart Health program (PRHHP), a longitudinal study of the incidence of coronary heart disease in Puerto Rican men. METHODS Mortality was ascertained using hospital and physician records, postmortem records, death certificates, and information from the next of kin. RESULTS Dark-skinned men exhibited higher age-adjusted mortality rates than light skinned men (10.1 vs. 8.8/10,000 population). There was no association between skin color and all-cause and CVD-related mortality. However, the association between skin color and all-cause mortality varied with area of residence (p for interaction = 0.05). Among men living in urban areas, the risk of all-cause mortality was 28% (95% confidence interval, 1.02-1.61) greater among dark-skinned men than their light-skinned counterparts after adjusting for age, education, BMI, physical activity, and the presence of diabetes. There was no association between skin color and CVD mortality in urban men. Neither all-cause nor CVD mortality was associated with skin color among rural men. CONCLUSION Our results suggest that skin color may be capturing environmental dynamics that may influence mortality risk among Puerto Rican men.
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Affiliation(s)
- Luisa N Borrell
- Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
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Smit E, Crespo CJ, Semba RD, Jaworowicz D, Vlahov D, Ricketts EP, Ramirez-Marrero FA, Tang AM. Physical activity in a cohort of HIV-positive and HIV-negative injection drug users. AIDS Care 2007; 18:1040-5. [PMID: 17012097 DOI: 10.1080/09540120600580926] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Physical activity is beneficial for persons with HIV infection but little is known about the relationships between physical activity, HIV treatment and injection drug use (IDU). This study compared physical activity levels between HIV-negative and HIV-positive injection drug users (IDUs) and between HIV-positive participants not on any treatment and participants on highly active antiretroviral therapy (HAART). Anthropometric measurements were obtained and an interviewer-administered modified Paffenbarger physical activity questionnaire was administered to 324 participants in a sub-study of the AIDS Linked to Intravenous Experiences (ALIVE) cohort, an ongoing study of HIV-negative and HIV-positive IDUs. Generalized linear models were used to obtain univariate means and to adjust for confounding (age, gender, employment and recent IDU). Vigorous activity was lower among HAART participants than HIV-positive participants not on treatment (p=0.0025) and somewhat lower than HIV-negative participants (p=0.11). Injection drug use and viral load were not associated with vigorous activity. Energy expenditure in vigorous activity was also lower among HAART participants than both HIV-negative and HIV-positive participants not on treatment. Thus, HIV-positive participants on HAART spend less time on vigorous activity independent of recent IDU. More research is needed into the reasons and mechanism for the lack of vigorous activities, including behavioral, psychological and physiological reasons.
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Affiliation(s)
- E Smit
- School of Community Health, Portland State University, Portland, OR 97207-0751, USA.
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Sutu E, Crespo CJ, Shine B, Doshi A, Quattrin T. Detecting overweight children in primary care: do national data reflect the typical urban practice? J Fam Pract 2006; 55:976-80. [PMID: 17090358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Primary care physicians can easily identify overweight in children aged < 2 years using body-mass index. There is no consensus on the appropriate way of identifying overweight before age 2 years. However, the primary care physician should be alert if the body-mass index of a child < 2 years of age is significantly higher then those published (as a guideline) in this paper. Overweight is occurring early. Thus it is essential that primary care physicians focus on identifying overweight as early as preschool age. Primary care physicians have to pay particular attention to identifying overweight in non-Hispanic black children aged 2 to 11 years, who may have a higher prevalence of being at risk for overweight compared with 1999-2002 national data. Children seen for a sick-child visit may be at higher risk for overweight; thus, we recommend that height and weight measurements be obtained during these visits.
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Affiliation(s)
- Elena Sutu
- Division of Endocrinology/Diabetes, Women and Children's Hospital of Buffalo, 219 Bryant Street, Buffalo, NY 14222, USA
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Andersen RE, Franckowiak SC, Zuzak KB, Cummings ES, Bartlett SJ, Crespo CJ. Effects of a culturally sensitive sign on the use of stairs in African American commuters. ACTA ACUST UNITED AC 2006; 51:373-80. [PMID: 17658143 DOI: 10.1007/s00038-006-5095-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To examine the effectiveness of a culturally sensitive sign to encourage stair use among African American commuters. METHODS 16,035 commuters were observed in their using either stairs or an adjacent escalator in a subway station. After baseline observation, a culturally sensitive sign to promote stair use was displayed beside the escalator/stairs. Demographic information and use of escalators/stairs were recorded. RESULTS Stair use increased from 15.8% to 21.5% with the sign. Caucasian commuters used the stairs 23.1% of the time at baseline, and increased to 28.3% with the sign. Among African Americans, stair use increased from 10.3% to 16.4% with the sign. African American women showed the greatest increases in stair use. Stair use remained elevated the week after the sign was removed in all commuters. Among African Americans, stair use returned to baseline within three weeks. Stair use increased significantly among both overweight and non-overweight Caucasians and African Americans. CONCLUSION Culturally sensitive interventions can promote physical activity among African Americans in an urban setting.
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Affiliation(s)
- Ross E Andersen
- Johns Hopkins University School of Medicine, Division of Rheumatology; Baltimore, USA.
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Borrell LN, Crespo CJ, Garcia-Palmieri RG. Skin Color and Mortality Risk among Men: The Puerto Rico Heart Health Program. Am J Epidemiol 2006. [DOI: 10.1093/aje/163.suppl_11.s61-c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Kerner MS, Crespo CJ, Wylie-Rosett J. Measures of Resting Metabolic Rate, Body Composition, and Leisure-Time Physical Activity Among High School Girls with the Potential for Overweight, Overweight, and Obese. Med Sci Sports Exerc 2006. [DOI: 10.1249/00005768-200605001-01412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Torres-Cintron M, Ramirez-Marrero FA, Nazario CM, Suarez E, Crespo CJ. Colorectal Cancer Risk Index and Physical Activity in Hispanic Adults Living in a Rural Area of Puerto Rico. Med Sci Sports Exerc 2006. [DOI: 10.1249/00005768-200605001-02664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Krieg EF, Chrislip DW, Crespo CJ, Brightwell WS, Ehrenberg RL, Otto DA. The relationship between blood lead levels and neurobehavioral test performance in NHANES III and related occupational studies. Public Health Rep 2005; 120:240-51. [PMID: 16134563 PMCID: PMC1497718 DOI: 10.1177/003335490512000305] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES The goals of this study were two-fold: (1) to assess the relationship between blood lead levels and neurobehavioral test performance in a nationally sample of adults from the third National Health and Nutrition Evaluation Survey and (2) to analyze the results from previously published studies of occupational lead exposure that used the same neurobehavioral tests as those included in the survey. METHODS Regression models were used to test and estimate the relationships between measurements of blood lead and performance on a simple reaction time, a symbol-digit substitution, and a serial digit learning test in adults aged 20-59 years who participated the survey. Mixed models were used to analyze the data from the occupational studies. RESULTS The blood lead levels of those participating in the survey ranged from 0.7 to 41.8 microg/dl. The estimated geometric mean was 2.51 microg/dl, and the estimated arithmetic mean was 3.30 microg/dl. In the survey, no statistically significant relationships were found between blood lead concentration and performance on the three neurobehavioral tests when adjusted for covariates. In the occupational studies, the groups exposed to lead consistently performed worse than control groups on the simple reaction time and digit-symbol substitution tests. CONCLUSIONS The results from the survey and the occupational studies do not provide evidence for impairment of neurobehavioral test performance at levels below 25 microg/dl, the concentration that the Centers for Disease Control and Prevention define as elevated in adults. The average blood lead level of the exposed groups in the occupational studies was 41.07 microg/dl, less than 50 microg/dl, the minimum concentration that the Occupational Safety and Health Administration requires for medical removal from the workplace. Given the evidence of impaired neurobehavioral performance in these groups, the 50 microg/dl limit should be reevaluated.
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Affiliation(s)
- Edward F Krieg
- Division of Applied Research and Technology, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA.
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Rohrmann S, Crespo CJ, Weber JR, Smit E, Giovannucci E, Platz EA. Association of cigarette smoking, alcohol consumption and physical activity with lower urinary tract symptoms in older American men: findings from the third National Health And Nutrition Examination Survey. BJU Int 2005; 96:77-82. [PMID: 15963125 DOI: 10.1111/j.1464-410x.2005.05571.x] [Citation(s) in RCA: 99] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To examine the association of cigarette smoking, alcohol consumption and physical activity with lower urinary tract symptoms (LUTS) in older men. SUBJECTS AND METHODS The study included 2797 men participating in the Third National Health and Nutrition Examination Survey (NHANES III), who were aged > or = 60 years. During an interview, LUTS, smoking history, alcohol consumption and physical activity were assessed. Cases comprised men with at least three of the symptoms of nocturia, hesitancy, weak stream and incomplete emptying. Men who had had prostate surgery unrelated to cancer were not included as cases. Controls were men with no symptoms or surgery. We adjusted for age and race in logistic regression models and used sampling weights to account for selection probability. RESULTS Current cigarette smokers had no higher odds of LUTS than 'never' smokers, but former heavy smokers (> or = 50 pack-years) had a higher odds of LUTS than never smokers (odds ratio 2.01; 95% confidence interval 1.04-3.89). Men who drank alcohol daily had a lower chance of LUTS than non-drinkers (0.59; 0.37-0.95; P trend, 0.07). All levels of moderate and vigorous activity were statistically significantly inversely associated with LUTS (P trend, 0.06), whereas men who reported no leisure-time physical activity had a greater odds of LUTS (2.06; 1.26-3.39). CONCLUSIONS Moderate alcohol consumption and physical activity may be protective against LUTS. Current cigarette smoking was not consistently associated with the condition. The possible association in former smokers warrants further investigation.
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Affiliation(s)
- Sabine Rohrmann
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
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Smit E, Brasky TM, Ramirez-Marrero FA, Valle-Figueroa N, Freudenheim JL, Garcia-Palmieri MR, Crespo CJ. 067: Legume and Protein Intake and Prostate Cancer Mortality in Puerto Rican Men. Am J Epidemiol 2005. [DOI: 10.1093/aje/161.supplement_1.s17b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- E Smit
- University at Buffalo, Buffalo, NY 14214
| | - T M Brasky
- University at Buffalo, Buffalo, NY 14214
| | | | | | | | | | - C J Crespo
- University at Buffalo, Buffalo, NY 14214
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Crespo CJ, Palmieri MG, Smit E, Rosa PP, Fanor B, Lee IM, McGee D. Physical Activity Is Not Protective Against Prostate Cancer Mortality In Puerto Rican Men. Med Sci Sports Exerc 2005. [DOI: 10.1249/00005768-200505001-01880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Smit E, Crespo CJ, Semba RD, Jaworowicz D, Vlahov D, Tang AM. Physical Activity In A Cohort Of HIV-positive And HIV-negative Injection Drug Users. Med Sci Sports Exerc 2005. [DOI: 10.1249/00005768-200505001-01666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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