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González HM, Tarraf W, Stickel AM, Morlett A, González KA, Ramos AR, Rundek T, Gallo LC, Talavera GA, Daviglus ML, Lipton RB, Isasi C, Lamar M, Zeng D, DeCarli C. Glycemic Control, Cognitive Aging, and Impairment Among Diverse Hispanics/Latinos: Study of Latinos-Investigation of Neurocognitive Aging (Hispanic Community Health Study/Study of Latinos). Diabetes Care 2024:dc232003. [PMID: 38684486 DOI: 10.2337/dc23-2003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/03/2024] [Indexed: 05/02/2024]
Abstract
OBJECTIVE Hispanics/Latinos in the United States have the highest prevalence of undiagnosed and untreated diabetes and are at increased risk for cognitive impairment. In this study, we examine glycemic control in relation to cognitive aging and impairment in a large prospective cohort of middle-aged and older Hispanics/Latinos of diverse heritages. RESEARCH DESIGN AND METHODS Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA) is a Hispanic Community Health Study/Study of Latinos (HCHS/SOL) ancillary study. HCHS/SOL is a multisite (Bronx, NY; Chicago, IL; Miami, FL; and San Diego, CA), probability sampled prospective cohort study. SOL-INCA enrolled 6,377 diverse Hispanics/Latinos age 50 years and older (2016-2018). The primary outcomes were cognitive function, 7-year cognitive decline and mild cognitive impairment (MCI). The primary glycemia exposure variables were measured from fasting blood samples collected at HCHS/SOL visit 1 (2008-2011). RESULTS Visit 1 mean age was 56.5 years ± 8.2 SD, and the average glycosylated hemoglobin A1C (HbA1c) was 6.12% (43.5 ± 14.6 mmol/mol). After covariates adjustment, higher HbA1c was associated with accelerated 7-year global (b = -0.045; 95% CI = -0.070; -0.021; in z-score units) and executive cognitive decline, and a higher prevalence of MCI (odds ratio = 1.20; 95% CI = 1.11;1.29). CONCLUSIONS Elevated HbA1c levels were associated with 7-year executive cognitive decline and increased MCI risk among diverse middle-aged and older Hispanics/Latinos. Our findings indicate that poor glycemic control in midlife may pose significant risks for cognitive decline and MCI later in life among Hispanics/Latinos of diverse heritages.
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Affiliation(s)
- Hector M González
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, San Diego, California
| | - Wassim Tarraf
- Institute of Gerontology & Department of Healthcare Sciences, Wayne State University, Detroit, Michigan
| | - Ariana M Stickel
- Department of Psychology, San Diego State University, San Diego, California
| | - Alejandra Morlett
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, San Diego, California
| | - Kevin A González
- Department of Neurosciences and the Shiley-Marcos Alzheimer's Disease Research Center, University of California San Diego, San Diego, California
| | - Alberto R Ramos
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami, Miami, Florida
| | - Tatjana Rundek
- Department of Neurology and Evelyn F. McKnight Brain Institute, University of Miami, Miami, Florida
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, California
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, California
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine at Chicago, Chicago, Illinois
| | | | - Carmen Isasi
- Albert Einstein College of Medicine, New York, NY
| | - Melissa Lamar
- Institute for Minority Health Research, University of Illinois College of Medicine at Chicago, Chicago, Illinois
- Department of Psychiatry & Behavioral Sciences and Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Donglin Zeng
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Charles DeCarli
- Department of Neurology and Alzheimer's Disease Center, University of California Davis, Sacramento, California
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2
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Durstenfeld MS, Peluso MJ, Lin F, Peyser ND, Isasi C, Carton TW, Henrich TJ, Deeks SG, Olgin JE, Pletcher MJ, Beatty AL, Marcus GM, Hsue PY. Association of nirmatrelvir for acute SARS-CoV-2 infection with subsequent Long COVID symptoms in an observational cohort study. J Med Virol 2024; 96:e29333. [PMID: 38175151 PMCID: PMC10786003 DOI: 10.1002/jmv.29333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Abstract
Oral nirmatrelvir/ritonavir is approved as treatment for acute COVID-19, but the effect of treatment during acute infection on risk of Long COVID is unknown. We hypothesized that nirmatrelvir treatment during acute SARS-CoV-2 infection reduces risk of developing Long COVID and rebound after treatment is associated with Long COVID. We conducted an observational cohort study within the Covid Citizen Science (CCS) study, an online cohort study with over 100 000 participants. We included vaccinated, nonhospitalized, nonpregnant individuals who reported their first SARS-CoV-2 positive test March-August 2022. Oral nirmatrelvir/ritonavir treatment was ascertained during acute SARS-CoV-2 infection. Patient-reported Long COVID symptoms, symptom rebound and test-positivity rebound were asked on subsequent surveys at least 3 months after SARS-CoV-2 infection. A total of 4684 individuals met the eligibility criteria, of whom 988 (21.1%) were treated and 3696 (78.9%) were untreated; 353/988 (35.7%) treated and 1258/3696 (34.0%) untreated responded to the Long COVID survey (n = 1611). Among 1611 participants, median age was 55 years and 66% were female. At 5.4 ± 1.3 months after infection, nirmatrelvir treatment was not associated with subsequent Long COVID symptoms (odds ratio [OR]: 1.15; 95% confidence interval [CI]: 0.80-1.64; p = 0.45). Among 666 treated who answered rebound questions, rebound symptoms or test positivity were not associated with Long COVID symptoms (OR: 1.34; 95% CI: 0.74-2.41; p = 0.33). Within this cohort of vaccinated, nonhospitalized individuals, oral nirmatrelvir treatment during acute SARS-CoV-2 infection and rebound after nirmatrelvir treatment were not associated with Long COVID symptoms more than 90 days after infection.
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Affiliation(s)
- Matthew S. Durstenfeld
- Division of Cardiology at ZSFG and Department of Medicine, University of California, San Francisco (UCSF), USA
| | | | - Feng Lin
- Department of Epidemiology and Biostatistics, UCSF, USA
| | | | - Carmen Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine
| | | | | | - Steven G. Deeks
- Division of HIV, Infectious Disease, & Global Medicine, UCSF, USA
| | | | | | - Alexis L. Beatty
- Department of Epidemiology and Biostatistics and Division of Cardiology, Department of Medicine, UCSF, USA
| | | | - Priscilla Y. Hsue
- Division of Cardiology at ZSFG and Department of Medicine, University of California, San Francisco (UCSF), USA
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3
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Durstenfeld MS, Peluso MJ, Peyser ND, Lin F, Knight SJ, Djibo A, Khatib R, Kitzman H, O’Brien E, Williams N, Isasi C, Kornak J, Carton TW, Olgin JE, Pletcher MJ, Marcus GM, Beatty AL. Factors Associated With Long COVID Symptoms in an Online Cohort Study. Open Forum Infect Dis 2023; 10:ofad047. [PMID: 36846611 PMCID: PMC9945931 DOI: 10.1093/ofid/ofad047] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Background Few prospective studies of Long COVID risk factors have been conducted. The purpose of this study was to determine whether sociodemographic factors, lifestyle, or medical history preceding COVID-19 or characteristics of acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are associated with Long COVID. Methods In March 26, 2020, the COVID-19 Citizen Science study, an online cohort study, began enrolling participants with longitudinal assessment of symptoms before, during, and after SARS-CoV-2 infection. Adult participants who reported a positive SARS-CoV-2 test result before April 4, 2022 were surveyed for Long COVID symptoms. The primary outcome was at least 1 prevalent Long COVID symptom greater than 1 month after acute infection. Exposures of interest included age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, variant wave, number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, and exercise. Results Of 13 305 participants who reported a SARS-CoV-2 positive test, 1480 (11.1%) responded. Respondents' mean age was 53 and 1017 (69%) were female. Four hundred seventy-six (32.2%) participants reported Long COVID symptoms at a median 360 days after infection. In multivariable models, number of acute symptoms (odds ratio [OR], 1.30 per symptom; 95% confidence interval [CI], 1.20-1.40), lower socioeconomic status/financial insecurity (OR, 1.62; 95% CI, 1.02-2.63), preinfection depression (OR, 1.08; 95% CI, 1.01-1.16), and earlier variants (OR = 0.37 for Omicron compared with ancestral strain; 95% CI, 0.15-0.90) were associated with Long COVID symptoms. Conclusions Variant wave, severity of acute infection, lower socioeconomic status, and pre-existing depression are associated with Long COVID symptoms.
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Affiliation(s)
- Matthew S Durstenfeld
- Correspondence: M. S. Durstenfeld, MD, MAS, Division of Cardiology, UCSF, Zuckerberg San Francisco General Hospital, 1001 Potrero Avenue, 5G8, San Francisco, CA 94110, ()
| | - Michael J Peluso
- Division of HIV, Infectious Disease, Global Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Noah D Peyser
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Feng Lin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Sara J Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Audrey Djibo
- CVS Health Clinical Trial Services, Blue Bell, Pennsylvania, USA
| | - Rasha Khatib
- Advocate Aurora Research Institute, Milwaukee, Wisconsin, USA
| | - Heather Kitzman
- Baylor Scott and White Health and Wellness Center, Dallas, Texas, USA
| | - Emily O’Brien
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Natasha Williams
- Institute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Grossman School of Medicine, New York, New York, USA
| | - Carmen Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Thomas W Carton
- Louisiana Public Health Institute, New Orleans, Louisiana, USA
| | - Jeffrey E Olgin
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Gregory M Marcus
- Division of Cardiology, Department of Medicine, University of California, San Francisco, San Francisco, California, USA
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Elgart M, Goodman MO, Isasi C, Chen H, Morrison AC, de Vries PS, Xu H, Manichaikul AW, Guo X, Franceschini N, Psaty BM, Rich SS, Rotter JI, Lloyd-Jones DM, Fornage M, Correa A, Heard-Costa NL, Vasan RS, Hernandez R, Kaplan RC, Redline S, Sofer T. Correlations between complex human phenotypes vary by genetic background, gender, and environment. Cell Rep Med 2022; 3:100844. [PMID: 36513073 PMCID: PMC9797952 DOI: 10.1016/j.xcrm.2022.100844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 07/11/2022] [Accepted: 11/09/2022] [Indexed: 12/15/2022]
Abstract
We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce "fractional genetic correlation" as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.
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Affiliation(s)
- Michael Elgart
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA,Corresponding author
| | - Matthew O. Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ani W. Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA,Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Adolfo Correa
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nancy L. Heard-Costa
- Boston University and National Heart Lung and Blood Institute’s Framingham Heart Study, Framingham, MA, USA,Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Ramachandran S. Vasan
- Boston University and National Heart Lung and Blood Institute’s Framingham Heart Study, Framingham, MA, USA,Preventive Medicine & Epidemiology, and Cardiovascular Medicine, Medicine, Boston University School of Medicine, and Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Ryan Hernandez
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA,Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA,Corresponding author
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5
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Durstenfeld MS, Peluso MJ, Peyser ND, Lin F, Knight SJ, Djibo A, Khatib R, Kitzman H, O’Brien E, Williams N, Isasi C, Kornak J, Carton TW, Olgin JE, Pletcher MJ, Marcus GM, Beatty AL. Factors Associated with Long Covid Symptoms in an Online Cohort Study. medRxiv 2022:2022.12.01.22282987. [PMID: 36523412 PMCID: PMC9753782 DOI: 10.1101/2022.12.01.22282987] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Prolonged symptoms following SARS-CoV-2 infection, or Long COVID, is common, but few prospective studies of Long COVID risk factors have been conducted. Objective To determine whether sociodemographic factors, lifestyle, or medical history preceding COVID-19 or characteristics of acute SARS-CoV-2 infection are associated with Long COVID. Design Cohort study with longitudinal assessment of symptoms before, during, and after SARS-CoV-2 infection, and cross-sectional assessment of Long COVID symptoms using data from the COVID-19 Citizen Science (CCS) study. Setting CCS is an online cohort study that began enrolling March 26, 2020. We included data collected between March 26, 2020, and May 18, 2022. Participants Adult CCS participants who reported a positive SARS-CoV-2 test result (PCR, Antigen, or Antibody) more than 30 days prior to May 4, 2022, were surveyed. Exposures Age, sex, race/ethnicity, education, employment, socioeconomic status/financial insecurity, self-reported medical history, vaccination status, time of infection (variant wave), number of acute symptoms, pre-COVID depression, anxiety, alcohol and drug use, sleep, exercise. Main Outcome Presence of at least 1 Long COVID symptom greater than 1 month after acute infection. Sensitivity analyses were performed considering only symptoms beyond 3 months and only severe symptoms. Results 13,305 participants reported a SARS-CoV-2 positive test more than 30 days prior, 1480 (11.1% of eligible) responded to a survey about Long COVID symptoms, and 476 (32.2% of respondents) reported Long COVID symptoms (median 360 days after infection).Respondents' mean age was 53 and 1017 (69%) were female. Common Long COVID symptoms included fatigue, reported by 230/476 (48.3%), shortness of breath (109, 22.9%), confusion/brain fog (108, 22.7%), headache (103, 21.6%), and altered taste or smell (98, 20.6%). In multivariable models, number of acute COVID-19 symptoms (OR 1.30 per symptom, 95%CI 1.20-1.40), lower socioeconomic status/financial insecurity (OR 1.62, 95%CI 1.02-2.63), pre-infection depression (OR 1.08, 95%CI 1.01-1.16), and earlier variants (OR 0.37 for Omicron compared to ancestral strain, 95%CI 0.15-0.90) were associated with Long COVID symptoms. Conclusions and Relevance Variant wave, severity of acute infection, lower socioeconomic status and pre-existing depression are associated with Long COVID symptoms. Key Points Question: What are the patterns of symptoms and risk factors for Long COVID among SARS-CoV-2 infected individuals?Findings: Persistent symptoms were highly prevalent, especially fatigue, shortness of breath, headache, brain fog/confusion, and altered taste/smell, which persisted beyond 1 year among 56% of participants with symptoms; a minority of participants reported severe Long COVID symptoms. Number of acute symptoms during acute SARS-CoV-2 infection, financial insecurity, pre-existing depression, and infection with earlier variants are associated with prevalent Long COVID symptoms independent of vaccination, medical history, and other factors.Meaning: Severity of acute infection, SARS-CoV-2 variant, and financial insecurity and depression are associated with Long COVID symptoms.
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Affiliation(s)
| | | | | | - Feng Lin
- Department of Epidemiology and Biostatistics, UCSF
| | - Sara J. Knight
- Division of Epidemiology, Department of Internal Medicine, University of Utah
| | | | | | | | - Emily O’Brien
- Department of Population Health Sciences, Duke University School of Medicine
| | - Natasha Williams
- Institute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Grossman School of Medicine
| | - Carmen Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine
| | - John Kornak
- Department of Epidemiology and Biostatistics, UCSF
| | | | | | | | | | - Alexis L. Beatty
- Division of Cardiology, Department of Medicine, UCSF,Department of Epidemiology and Biostatistics, UCSF
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6
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Casagrande SS, Avilés-Santa ML, Sotres-Alvarez D, Gallo L, Simon M, Kominiarek M, Talavera G, Stuebe AM, Potter J, Perera MJ, Isasi C, Gonzalez JS, Rust K, Cowie C. Association between gestational diabetes and 6-year incident diabetes: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). BMJ Open Diabetes Res Care 2022; 10:10/6/e002980. [PMID: 36375861 PMCID: PMC9664292 DOI: 10.1136/bmjdrc-2022-002980] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE Type 2 diabetes and gestational diabetes (GDM) disproportionately affect those of Hispanic/Latino heritage. This study examined the association between GDM and prevalent and incident diabetes in a community-based study of Hispanic/Latina women living in the USA. METHODS Participants were women aged 18-74 years in the Hispanic Community Health Study/Study of Latinos who had at least one pregnancy and had information on self-reported history of GDM at baseline (n=6389). Logistic regression was used to determine the association between GDM and prevalent (2008-2011) and incident (2014-2017) diabetes and interactions between GDM and risk factors for incident diabetes. RESULTS At baseline, 8.7% of participants reported a history of GDM and 18.6% had prevalent diabetes. Women with Mexican heritage had the highest prevalence of GDM history (11.3%) vs women of Cuban (5.0%), Central American (4.9%), and South American (3.8%) heritage (p<0.001 for each comparison to Mexican heritage). Women with self-reported GDM were four times more likely to have prevalent diabetes compared with women without GDM, after adjusting for sociodemographic characteristics and cardiometabolic risk factors (adjusted OR (aOR)=3.94, 95% CI 2.75 to 5.64). Overall incidence of diabetes was 14.3/100 women. Women with GDM at baseline increased their odds of incident diabetes by threefold compared with women without GDM (aOR=3.25, 95% CI 2.09 to 5.05). Women with Cuban or Puerto Rican heritage and GDM had significantly higher odds of incident diabetes compared with women with Mexican heritage (aOR=2.15, 95% CI 1.17 to 3.95; aOR=1.95, 95% CI 1.07 to 3.55, respectively). CONCLUSION Self-reported GDM was significantly associated with a threefold higher risk of incident diabetes among Hispanic/Latino women in the USA even after adjusting for several significant predictors of diabetes.
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Affiliation(s)
| | - M Larissa Avilés-Santa
- National Institute of Minority Health and Health Disparities, Division of Intramural Research, Bethesda, Maryland, USA
| | | | - Linda Gallo
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Melissa Simon
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Michelle Kominiarek
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Gregory Talavera
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Alison M Stuebe
- Department of Obsterics & Gynecology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - JoNell Potter
- Department of Obstetrics & Gynecology, University of Miami Health System, Miami, Florida, USA
| | - Marisa Judith Perera
- Department of Psychiatry and Behavioral Sciences, University of Miami Health System, Miami, Florida, USA
| | - Carmen Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Jeffrey S Gonzalez
- Departments of Medicine and Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Catherine Cowie
- Division of Diabetes, Endocrinology, & Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA
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7
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Ramos A, Gonzalez K, Tarraf W, Redline S, Patel S, Stickel A, Agudelo C, Kaur S, Testai F, Lipton R, Isasi C, Sotres-Alvarez D, Gallo L, DeCarli C, Gonzalez H. 0322 sleep disordered breathing and MRI makers of brain aging in the Hispanic Community Health Study/Study of Latinos. Sleep 2022. [DOI: 10.1093/sleep/zsac079.320] [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] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
We aim to determine if white matter hyperintensities and decreased brain volumes are associated with sleep-disordered breathing (SDB), in a diverse sample of middle-aged and older Hispanic/Latino adults.
Methods
Our sample of 1,119 Hispanics/Latinos (ages older than 50-years; 70% female) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) underwent brain magnetic resonance imaging (MRI) as part of the Study of Latinos - Investigation of Neurocognitive Aging MRI (SOL-INCA MRI) ancillary study. MRI outcomes of interest included global (gray matter, total brain) and regional (lobar cortices, hippocampus) brain volumes, lateral ventricle volume, and total white matter hyperintensity (WMH) volume. All MRI measures were residualized for total cranial volume. Our main exposure was visit-1 sleep data (2008-2011), which includes information about SDB defined with the respiratory event index 3% (REI), ≥5 and ≥15 (moderate-severe SDB) identified by home-sleep apnea test. Survey linear regression models to assess the association between sleep measures and MRI outcomes adjusted for age, sex, education, Hispanic/Latino background, body mass index, tobacco use, alcohol consumption, and physical activity factors and accounted for HCHS/SOL complex study design. We tested for effect modifications by age, sex and Hispanic/Latino background.
Results
Mean age was 63.9±7.0 years. Adjusting for age, sex, and education, individuals with a REI ≥15 (vs. <5) had decrements in total brain volume (Btotal=-6.115[-10.19 ; -2.04]; p<0.01), total gray matter volume(B= -3.702 [-6.7 ; -0.7]; p<0.05), and frontal cortical gray matter volume (B= -1.844[-3.48; -0.21]; p<0.05), and increments in hippocampal volume β= 0.138[0.04; 0.23]; p<0.01). The associations persisted after adjustment for Hispanic/Latino background and behavioral risk factors. Older age modified associations between the REI and age and total brain volumes (Bage*REI=-0.019[-0.04 ;~0.00]; p<0.05). There was no consistent evidence for effect moderation by sex or Hispanic/Latino background.
Conclusion
In a diverse sample of Hispanic/Latinos, moderate-severe SDB was associated with decreased total brain volumes and increments in hippocampal volumes. Our findings suggest that SDB related neuroimaging markers of brain health could serve to identify Hispanic/Latino participants with sleep related Alzheimer’s disease and related dementia risk.
Support (If Any)
This work is supported by National Institute on Aging (R01AG048642, RF1AG054548, and R01AG063868) and by the National Heart Lung Blood Institute (R01HL098297). Dr. González also receives additional support from P30AG59299. The Hispanic Community Health Study/Study of Latinos was carried out as a collaborative study supported by contracts from the National Heart, Lung, and Blood Institute (NHLBI) to the University of North Carolina (N01-philip glass beck HC65233), University of Miami (N01-HC65234), Albert Einstein College of Medicine (N01-HC65235), Northwestern University (N01-HC65236), and San Diego State University (N01-HC65237). The following Institutes/Centers/Offices contribute to the HCHS/SOL through a transfer of funds to the NHLBI: National Institute on Minority Health and Health Disparities, National Institute on Deafness and Other Communication Disorders, National Institute of Dental and Craniofacial Research, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Neurological Disorders and Stroke, NIH Institution-Office of Dietary Supplements.
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Affiliation(s)
| | | | | | | | | | | | | | - Sonya Kaur
- University of Miami, Miller School of Medicine
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8
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Maldonado L, Adair L, Sotres-Alvarez D, Mattei J, Mossavar-Rahmani Y, Perreira K, Daviglus M, Van Horn L, Gallo L, Isasi C, Albrecht S. Dietary Patterns and Years Living in the US by Hispanic/Latino Heritage in HCHS/SOL. Curr Dev Nutr 2021. [DOI: 10.1093/cdn/nzab053_050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
We aimed to identify and compare a posteriori heritage-specific dietary patterns (DPs), and evaluate their associations with “healthfulness” (using Alternative Healthy Eating Index, AHEI-2010) and years living in the US.
Methods
We used baseline data from a population-based cohort of 14,099 Hispanics/Latinos aged 18–74 years in the Hispanic Community Health Study/Study of Latinos. We performed principal factor analysis using two 24-hr recalls to derive DPs, separately, in each heritage group (Cuban, Dominican, Mexican, Puerto Rican, Central American, South American); and identified overarching DPs based on high-loading foods shared by two or more groups. We used multivariable linear regression to test associations of DPs with AHEI-2010 and years living in the US. This trial was registered at clinicaltrials.gov as NCT02060344.
Results
We identified 5 overarching DPs (“Burgers, Fries, & Soft Drinks”; “White Rice, Beans, & Red Meats”; “Fish”; “Egg & Cheese”; and “Alcohol”). While all “Burgers, Fries, & Soft Drinks” DPs were inversely associated with AHEI-2010, all Fish DPs (except Dominican) were positively associated with this index (all Ptrend < 0.001). Meanwhile, “White Rice, Beans, & Red Meats” DPs showed inverse associations in Cuban and Central American groups and positive associations in Mexican-origin individuals (all Ptrend < 0.001). Fewer years living in the US was associated with higher scores for “White Rice, Beans, & Red Meats” DPs in Cuban and Mexican heritage groups and lower scores on “Burgers, Fries, & Soft Drinks” DPs in Cuban, Mexican, and Puerto Rican groups (all Ptrend < 0.01).
Conclusions
Our findings show substantial variation in DPs across Hispanics/Latinos and adherence in DPs by time in the US, which could inform dietary interventions targeting this diverse US population.
Funding Sources
This research received support from the National Heart, Lung, and Blood Institute Global Cardiometabolic Disease Training Grant (1T32HL129969–01A1), the National Institute of Diabetes and Digestive and Kidney Diseases (K01DK107791), and from the Population Research Infrastructure Program (R24 HD050924) awarded to the Carolina Population Center at The University of North Carolina at Chapel Hill by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.
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Affiliation(s)
| | | | | | | | | | | | | | - Linda Van Horn
- Department of Preventive Medicine Feinberg School of Medicine, Northwestern University
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9
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Sun D, Richard MA, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto AR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YDI, Cupples LA, Davigulus ML, de las Fuentes L, de Mutsert R, de Vries PS, Delaney JA, Diez Roux AV, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CC, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O’Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor KD, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BW, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SL, Franceschini N, Rao DC, Fornage M. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv 2021; 2:100013. [PMID: 34734193 PMCID: PMC8562625 DOI: 10.1016/j.xhgg.2020.100013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A, PFIA2), as well as genes previously implicated in neuropsychiatric or stress-related disorders (FSTL5, CHODL). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.
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Affiliation(s)
- Daokun Sun
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Melissa A. Richard
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Solomon K. Musani
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Thomas W. Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg 93040, Germany
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Tuomas O. Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA
- Département de Génomes et Génétique, Institut Pasteur, Paris 75015, France
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA 98195, USA
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Michael R. Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kumaraswamy Chitrala
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - Fernando P. Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas RS 96010-610, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 1TH, UK
| | - Andrea R.V.R. Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
| | - Alisa K. Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48108, USA
- Icelandic Heart Association, Kopavogur 201, Iceland
| | - Sarah E. Harris
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33101, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33101, Finland
| | - Ilja M. Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Peter J. van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Rujia Wang
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Erin B. Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17489, Germany
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Lisa R. Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Dan E. Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Donna K. Arnett
- Dean’s Office, University of Kentucky College of Public Health, Lexington, KY 40563, USA
| | - Ana Barac
- MedStar Heart and Vascular Institute, Washington, DC 20010, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Aravinda Chakravarti
- Center for Human Genetics and Genomics, New York University School of Medicine, New York, NY 10016, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA
| | - Martha L. Davigulus
- Division of Minority Health, Department of Epidemiology, University of Illinois, Chicago, IL, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, USA
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | | | - Ana V. Diez Roux
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA 19104, USA
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald 17489, Germany
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Amanda M. Fretts
- Cardiovascular Health Research Unit, Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA 98195, USA
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, CA 92182, USA
| | - Hans Jörgen Grabe
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17489, Germany
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Catharina C.A. Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus 70100, Finland
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USA
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jost Bruno Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim 68167, Germany
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, Beijing, China
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY 10461, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Jose E. Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Daniel Levy
- NHLBI Framingham Heart Study, Framingham, MA 01702, USA
- Department of Medicine, Boston University, Boston, MA 02118, USA
| | | | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138632, Singapore
| | - Kurt Lohman
- Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27701, USA
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Lisa W. Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Human Genetics, Technische Universität München, Munich 81675, Germany
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam 1081 HV, the Netherlands
| | - Jeff R. O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Walter R. Palmas
- Division of General Medicine, Department of Medicine, Columbia University Medical Center, New York, NY 10032, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Neuherberg 85764, Germany
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Laura Pulkki-Råback
- Faculty of Medicine, Department of Psychology and Logopedics, University of Helsinki, Helsinki 0100, Finland
| | - Leslie J. Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, Irvine, CA 92697, USA
| | - Alex P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jennifer G. Robinson
- Departments of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Frits R. Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Carsten Oliver Schmidt
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, Greifswald 17475, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17489, Germany
| | - Pamela J. Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Xiao-ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA 94612, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA 98195, USA
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry, and Epidemiology, Ludwig-Maximilians-Universitat Munchen, Munich, 80539 Germany
| | - E. Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich 85764, Germany
| | - Hwee-Lin Wee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 119077, Singapore
| | - Wen-Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Gregory Wilson
- Jackson Heart Study, School of Public Health, Jackson State University, Jackson, MS 39217, USA
| | - Deng Xuan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC 27599, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Alan B. Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21201, USA
| | - Diane M. Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ian J. Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg 85764, Germany
| | - Timo A. Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio 70211, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio 70211, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33101, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere 33100, Finland
| | - Kari E. North
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27516, USA
| | - Albertine J. Oldehinkel
- Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Brenda W.J.H. Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam 1081 HV, the Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Michele K. Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 20892, USA
| | - W. James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 102, Iceland
| | - Bernardo L. Horta
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas RS 96010-610, Brazil
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Dennis O. Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden 2311 EZ, the Netherlands
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Ervin R. Fox
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 119228, Singapore
| | - Laura Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48108, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27516, USA
| | - Dabeeru C. Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Corresponding author
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10
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Elfassy T, Bello N, DeFreitas M, Cordero C, Argos M, DAVIGLUS ML, Perreira K, Thyagarajan B, Isasi C, Gallo L, Pike JR, Hare JM, Paidas MJ, Kulandavelu S. Abstract P223: Changes In Cardiometabolic Risk Factors Following Complications Of Pregnancy Among Hispanic/latina Women Of The Hispanic Community Health Study/study Of Latinos, 2008-2017. Hypertension 2020. [DOI: 10.1161/hyp.76.suppl_1.p223] [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] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Pregnancy-related complications (PC), such as preeclampsia (PE), gestational hypertension (GH) and gestational diabetes (GD), are associated with an elevation of cardiometabolic risk and subsequent cardiovascular disease (CVD) following pregnancy among European Caucasian mothers. Our study goal was to determine whether PC is associated with greater change in blood pressure (BP), fasting glucose (FPG), and/or glycosylated hemoglobin (HbA1c) among US Hispanic/Latina women.
Methods:
The Hispanic Community Health Study/Study of Latinos is a population-based study of 16,415 Hispanics/Latinos aged 18-74 years (at visit one: 2008-11) from four US sites. At visit two (2014-17), PC information was collected in 550 women who reported a live birth between visits. PC was defined as: no PC (PE, eclampsia, GH, or GD), PC without (w/o) pre-existing conditions (hypertension or diabetes), or PC with pre-existing conditions. At both visits (before and after birth), BP was measured (average of three seated readings) along with FPG and HbA1c (from blood). The association of PC with visit-to-visit change in BP, FPG, and HbA1c was estimated using linear regression models accounting for the complex survey design and adjusted for follow-up time, and visit one sociodemographic, clinical, and behavioral characteristics.
Results:
Baseline age was 26.2 years (SE: 0.3), with 77.4% without PC, 17.2% with PC w/o pre-existing conditions, and 5.4% with PC with pre-existing conditions. From fully adjusted models, PC w/o pre-existing conditions compared to no PC, was associated with a greater increase in systolic BP (+4.58mmHg; 95% CI: 1.08, 8.08), diastolic BP (+4.20mmHg; 95% CI: 1.19, 7.20), and FPG (+3.03mg/dL; 95% CI: 0.37, 5.69). PC with pre-existing conditions compared to no PC, was associated with a greater increase in systolic BP (+19.17mmHg; 95% CI: 7.10, 31.23), diastolic BP (+10.10mmHg; 95% CI: 2.67, 17.53), HbA1c (+0.82; 95% CI: 0.19, 1.45), and FPG (+27.12mg/dL; 95% CI: 7.70, 46.55).
Conclusions:
BP and blood glucose levels increased among US Hispanic/Latina women following PC with the greatest increase among women with pre-existing conditions. These findings suggest close monitoring of US Hispanic/Latina women with PC is warranted to prevent future CVD.
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11
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Porter C, Karazurna N, Aytur S, Morrell J, Mossavar-Rahmani Y, Tamez M, Mattei J, Perreira K, Sotres-Alvarez D, Gallo L, Daviglus M, Isasi C, Garcia-Bedoya O, Kaplan R, Bigornia S. Omega-3 Fatty Acids and Depressive Symptomology and the Influence of Psychosocial Stress: The Hispanic Community Health Study/Study of Latinos. Curr Dev Nutr 2020. [DOI: 10.1093/cdn/nzaa061_105] [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] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Objectives
The literature on n-3 fatty acid (FA) intake and depressive symptoms is inconsistent, potentially due in part to the influence of psychosocial stress. Some evidence supports that n-3 intake may have greater benefit on depressive symptoms among those with high oxidative stress. We quantified the associations between dietary and plasma n-3 FA and 6-y depressive symptoms and measured the modifying effect of psychosocial stress.
Methods
Data are from the Hispanic Community Health Study/Study of Latinos (age 48 y, 63% female). At baseline (2008–11), EPA, DHA and n-3 very-long-chain FAs (n-3VLCFAs) were estimated using two 24-hr recalls and the NCI method. Plasma n-3 FAs were measured by mass spectrometry. Depressive symptoms were measured at baseline and 6-y follow-up with the 10-item Center for Epidemiological Studies Depression Scale (CESD). Approximately 9 months from baseline, the 10-item Perceived Stress (PSS) and Chronic Burden of Stress scales were obtained. Unstratified and psychosocial stress-stratified associations were analyzed using survey linear regression among those with dietary (n = 3537) and plasma (n = 718) FA data. Model covariates included, but were not limited to, baseline CESD score, ethnicity, study site, antidepressant use, total energy intake, and dietary or plasma n-6 FA.
Results
Baseline DHA and n-3VLCFA intake were inversely associated with 6-y CESD (P < 0.05). All examined dietary n-3 FA exposures were inversely associated with CESD among those in the highest PSS quartile (Q4) (P < 0.05), but this was attenuated after considering n-6 FA intake. DHA and n-3VLCFA intakes were associated with lower CESD among those with 2 chronic stressors, but not <1 or >2 stressors. Plasma n-3 FAs were not associated with CESD in PSS stratified and unstratified analyses. However, plasma n-3 FA were associated with lower CESD score among those with only 2 chronic stressors.
Conclusions
Dietary n-3VLCFAs, but not plasma, were inversely associated with 6-y CESD. Psychosocial stress did not clearly modify these associations. These results provide some evidence that greater n-3VLCFA intake may reduce depressive symptoms among Hispanic/Latino adults. However, considering the limitations of self-reported intake, further research is needed using biomarkers of long-term n-3 consumption and psychosocial stress to confirm our findings.
Funding Sources
None.
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12
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Fernández-Rhodes L, Gong J, Haessler J, Franceschini N, Graff M, Nishimura KK, Wang Y, Highland HM, Yoneyama S, Bush WS, Goodloe R, Ritchie MD, Crawford D, Gross M, Fornage M, Buzkova P, Tao R, Isasi C, Avilés-Santa L, Daviglus M, Mackey RH, Houston D, Gu CC, Ehret G, Nguyen KDH, Lewis CE, Leppert M, Irvin MR, Lim U, Haiman CA, Le Marchand L, Schumacher F, Wilkens L, Lu Y, Bottinger EP, Loos RJL, Sheu WHH, Guo X, Lee WJ, Hai Y, Hung YJ, Absher D, Wu IC, Taylor KD, Lee IT, Liu Y, Wang TD, Quertermous T, Juang JMJ, Rotter JI, Assimes T, Hsiung CA, Chen YDI, Prentice R, Kuller LH, Manson JE, Kooperberg C, Smokowski P, Robinson WR, Gordon-Larsen P, Li R, Hindorff L, Buyske S, Matise TC, Peters U, North KE. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci. Hum Genet 2017; 136:771-800. [PMID: 28391526 DOI: 10.1007/s00439-017-1787-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [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] [Received: 12/05/2016] [Accepted: 03/23/2017] [Indexed: 11/26/2022]
Abstract
Most body mass index (BMI) genetic loci have been identified in studies of primarily European ancestries. The effect of these loci in other racial/ethnic groups is less clear. Thus, we aimed to characterize the generalizability of 170 established BMI variants, or their proxies, to diverse US populations and trans-ethnically fine-map 36 BMI loci using a sample of >102,000 adults of African, Hispanic/Latino, Asian, European and American Indian/Alaskan Native descent from the Population Architecture using Genomics and Epidemiology Study. We performed linear regression of the natural log of BMI (18.5-70 kg/m2) on the additive single nucleotide polymorphisms (SNPs) at BMI loci on the MetaboChip (Illumina, Inc.), adjusting for age, sex, population stratification, study site, or relatedness. We then performed fixed-effect meta-analyses and a Bayesian trans-ethnic meta-analysis to empirically cluster by allele frequency differences. Finally, we approximated conditional and joint associations to test for the presence of secondary signals. We noted directional consistency with the previously reported risk alleles beyond what would have been expected by chance (binomial p < 0.05). Nearly, a quarter of the previously described BMI index SNPs and 29 of 36 densely-genotyped BMI loci on the MetaboChip replicated/generalized in trans-ethnic analyses. We observed multiple signals at nine loci, including the description of seven loci with novel multiple signals. This study supports the generalization of most common genetic loci to diverse ancestral populations and emphasizes the importance of dense multiethnic genomic data in refining the functional variation at genetic loci of interest and describing several loci with multiple underlying genetic variants.
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Affiliation(s)
- Lindsay Fernández-Rhodes
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Jian Gong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Katherine K Nishimura
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sachiko Yoneyama
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - William S Bush
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Robert Goodloe
- Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA
| | - Marylyn D Ritchie
- Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA
| | - Dana Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Myriam Fornage
- Center for Human Genetics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Petra Buzkova
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ran Tao
- Department of Biostatistics, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Martha Daviglus
- Insitute of Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Rachel H Mackey
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Denise Houston
- Geriatrics and Gerontology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - C Charles Gu
- Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
- Division of Cardiology, Geneva University Hospital, Geneva, OH, Switzerland
| | - Khanh-Dung H Nguyen
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Cora E Lewis
- Department of Medicine, University of Alabama, Birmingham, AL, USA
| | - Mark Leppert
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
| | | | - Unhee Lim
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Christopher A Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Fredrick Schumacher
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yingchang Lu
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Erwin P Bottinger
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J L Loos
- Charles R. Bronfman Instituted for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wayne H-H Sheu
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, National Yang-Ming University, Taipei, Taiwan
| | - Xiuqing Guo
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yang Hai
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yi-Jen Hung
- Division of Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - I-Chien Wu
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Kent D Taylor
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - I-Te Lee
- Division of Endocrine and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, National Yang-Ming University, Taipei, Taiwan
| | - Yeheng Liu
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Tzung-Dau Wang
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Thomas Quertermous
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Jyh-Ming J Juang
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, National Taiwan University Hospital, Taipei, Taiwan
| | - Jerome I Rotter
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Themistocles Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Chao A Hsiung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan Town, Taiwan
| | - Yii-Der Ida Chen
- Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ross Prentice
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lewis H Kuller
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul Smokowski
- School of Social Welfare, The University of Kansas, Lawrence, KS, USA
| | - Whitney R Robinson
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rongling Li
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven Buyske
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, NJ, USA
| | - Tara C Matise
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Heo M, Irvin E, Ostrovsky N, Isasi C, Blank AE, Lounsbury DW, Fredericks L, Yom T, Ginsberg M, Hayes S, Wylie-Rosett J. Behaviors and Knowledge of HealthCorps New York City High School Students: Nutrition, Mental Health, and Physical Activity. J Sch Health 2016; 86:84-95. [PMID: 26762819 PMCID: PMC4714839 DOI: 10.1111/josh.12355] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Revised: 05/11/2015] [Accepted: 04/17/2015] [Indexed: 06/01/2023]
Abstract
BACKGROUND HealthCorps provides school wellness programming using curricula to promote changes in nutrition, mental health, and physical activity behaviors. The research objective was to evaluate effects of implementing its curricula on nutrition, mental health, and physical activity knowledge and behavior. METHODS Pre- and postsurvey data were collected (N = 2255) during the 2012-2013 academic year from 14 New York City public high schools. An 18-item knowledge questionnaire addressed 3 domains; 26 behavioral items were analyzed by factor analysis to identify 6 behavior domains, breakfast being a seventh 1-item domain. We examined the effects stratified by sex, applying mixed-effects models to take into account clustering effects of schools and participants adjusted for age. RESULTS The HealthCorps program significantly increased all 3 knowledge domains (p < .05), and significantly changed several key behavioral domains. Boys significantly increased fruits/vegetables intake (p = .03). Girls increased acceptance of new fruits/vegetables (p = .03) and breakfast consumption (p = .04), and decreased sugar-sweetened beverages and energy dense food intake (p = .03). The associations between knowledge and behavior were stronger in boys than girls. CONCLUSION The HealthCorps program significantly increased participants' knowledge on nutrition, mental health, and physical activity. It also improved several key behavioral domains, which are targets of the 2010 Dietary Guidelines to address obesity in youth.
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Affiliation(s)
- Moonseong Heo
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Erica Irvin
- HealthCorps, 75 Broad Street, 24th Floor, New York, NY 10004.
| | - Natania Ostrovsky
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Arthur E Blank
- Department of Family and Social Medicine, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Harold and Muriel Block Building, Room 409, 1300 Morris Park Avenue, Bronx, NY 10461.
| | - David W Lounsbury
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Lynn Fredericks
- FamilyCook Productions, 330 East 43rd Street, Ste. 704, New York, NY 10017.
| | - Tiana Yom
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Mindy Ginsberg
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Belfer 13-th Floor, Bronx, NY 10461.
| | - Shawn Hayes
- HealthCorps, 555 Capitol Mall, Suite 250, Sacramento, CA 95814.
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, 1307 Belfer Building, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461.
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14
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Conlon BA, McGinn AP, Lounsbury DW, Diamantis PM, Groisman-Perelstein AE, Wylie-Rosett J, Isasi C. The Role of Parenting Practices in the Home Environment among Underserved Youth. Child Obes 2015; 11:394-405. [PMID: 26258561 PMCID: PMC4528989 DOI: 10.1089/chi.2014.0093] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND The home environment, which includes parenting practices, is an important setting in which children develop their health behaviors. We examined the role of parenting practices in the home environment among underserved youth. METHODS We examined baseline data of a family-focused pediatric obesity intervention. Parenting practices (monitoring, discipline, limit setting of soda/snacks [SS] and screen media [SM], pressure to eat, and reinforcement) and availability of fruits/vegetables (FV) and sugar-sweetened beverages (SSBs), family meals, television (TV) watching during meals, TVs in the home, owning active video games/sports equipment, and household food security were assessed in 301 parent/caregivers of overweight/obese children (ages 7-12 years; BMI≥85th percentile). Associations were evaluated using Spearman's rank correlation coefficients and logistic regression models adjusted for potential confounders. RESULTS Parents/caregivers (ages 22-67 years) were largely Hispanic/Latino (74.1%), female (92.4%), and reported high levels of limit setting SS and low levels of pressure to eat. Parent age, gender, country of birth, and years living in the United States accounted for differences among several parenting practices. Adjusted logistic regression models identified several statistically significant associations, including: Monitoring was positively associated with availability FV (odds ratio [OR]=2.19; 95% confidence interval [CI], 1.25, 3.82); limit setting SS was inversely associated with availability of SSBs (OR=0.40; 95% CI, 0.21, 0.75); and limit setting SM was inversely associated with TV viewing during family meals (OR=0.51; 95% CI, 0.31, 0.85). Nearly 40% of our population was food insecure, and food insecurity was positively associated with pressure to eat (OR=1.77; 95% CI, 1.01, 3.15). CONCLUSIONS Parenting practices play an important role in the home environment, and longitudinal studies are needed to examine these associations in the context of family-focused pediatric obesity interventions.
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Affiliation(s)
- Beth A. Conlon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Aileen P. McGinn
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - David W. Lounsbury
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Pamela M. Diamantis
- Department of Pediatrics, Children's Health Services, Jacobi Medical Center, Bronx, NY
| | | | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Carmen Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
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15
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Alarcón J, Murillo J, Piscoya J, Castro C, Isasi C. Evolución y Características de las Publicaciones Biomédicas Peruanas, 1985 – 1993. An Fac med 2014. [DOI: 10.15381/anales.v57i3.6770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Se realizó un estudio de la evolución y principales características de los artículos científicos de investigaciones realizadas en el Perú, publicadas en revistas nacionales y extranjeras en el período 1985 – 1993. Durante este período se logró identificar 2412 artículos científicos publicados en 32 revistas biomédicas nacionales, y 297 artículos aparecidos en 134 revistas extranjeras. Se observó que la mayoría de revistas médicas nacionales tiene una periodicidad irregular, siendo las revistas de sociedades científicas las más constantes. También se observó que en 8 años el volumen de artículos científicos en revistas nacionales sólo se incrementó en 12%. Además, se describen las características de las autores nacionales y extranjeros, los tipos de artículo que se publican y las áreas temáticas. Finalmente, se hacen alcances acerca de los factores relacionados a las características y tendencias observadas.
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16
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Wylie-Rosett J, Isasi C, Soroudi N, Soroker E, Sizemore C, Groisman-Perelstein A, Bass J, Diamantis P, Ahmed T, Gandhi R. KidWAVE: Get Healthy Game--promoting a more healthful lifestyle in overweight children. J Nutr Educ Behav 2010; 42:210-212. [PMID: 20434077 PMCID: PMC2913507 DOI: 10.1016/j.jneb.2009.12.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2009] [Revised: 12/05/2009] [Accepted: 12/07/2009] [Indexed: 05/29/2023]
Affiliation(s)
- Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
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Evans S, Otter S, Walker-Bone K, Prada A, Isasi C, Campos J, Oton T, Polo J, Garcia B, Mulero J, Gadallah NA, El-Hefnawy HE, El-Arousy NH, El-Hefnawy NG, Abdou TA, El Shafie EA, El Zohiery AK, Hider SL, Whitehurst DG, Thomas E, Foster NE, Devany AJ, Musonda P, Blake JC. Soft Tissue and Regional Musculoskeletal Disease, Fibromyalgia [114-118]: 114. Foot and Ankle Injuries in Footballers: A Pilot Epidemiological Study. Rheumatology (Oxford) 2010. [DOI: 10.1093/rheumatology/keq721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Strickler HD, Fazzari M, Kovacs A, Isasi C, Napolitano LA, Minkoff H, Gange S, Young M, Sharp GB, Kaplan RC, Cohen M, Gunter MJ, Harris TG, Yu H, Schoenbaum E, Landay AL, Anastos K. Associations of insulin-like growth factor (IGF)-I and IGF-binding protein-3 with HIV disease progression in women. J Infect Dis 2008; 197:319-27. [PMID: 18177247 DOI: 10.1086/524848] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The insulin-like growth factor (IGF) axis has been hypothesized to influence the rate of human immunodeficiency virus (HIV) disease progression. This premise is based largely on laboratory models showing that IGF-I stimulates thymic growth and increases lymphocyte numbers and that IGF-binding protein (IGFBP)-3 has an opposing effect, inhibiting hematopoietic stem cell development. METHODS We studied 1422 HIV-infected women enrolled in a large cohort that entailed semiannual follow-up (initiated in 1994). Baseline serum samples were tested for IGF-I and IGFBP-3 to determine their associations with incident clinical acquired immunodeficiency syndrome (AIDS) and CD4+ T cell count decline prior to April 1996 (before the era of highly active antiretroviral therapy [HAART]). RESULTS Low IGF-I levels (Ptrend= .02) and high IGFBP-3 levels (Ptrend= .02) were associated with rapid CD4+ T cell count decline. Only IGFBP-3, however, was significantly associated with AIDS incidence (hazard ratio for highest vs. lowest quartile, 2.65 [95% confidence interval, 1.30-5.42]; Ptrend= .02) in multivariable models. CONCLUSIONS These findings suggest that serum levels of IGFBP-3 (and possibly IGF-I) are associated with the rate of HIV disease progression in women and, more broadly, that interindividual heterogeneity in the IGF axis may influence HIV pathogenesis. If correct, the IGF axis could be a target for interventions to slow HIV disease progression and extend the time before use of HAART becomes necessary.
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Abidov A, Hachamovitch R, Friedman JD, Hayes SW, Kang X, Cohen I, Germano G, Berman DS, Kjaer A, Cortsen A, Federspiel M, Hesse B, Holm S, O’Connor M, Dhalla AK, Wong MY, Wang WQ, Belardinelli L, Therapeutics CV, Epps A, Dave S, Brewer K, Chiaramida S, Gordon L, Hendrix GH, Feng B, Pretorius PH, Bruyant PP, Boening G, Beach RD, Gifford HC, King MA, Fessler JA, Hsu BL, Case JA, Gegen LL, Hertenstein GK, Cullom SJ, Bateman TM, Akincioglu C, Abidov A, Nishina H, Kavanagh P, Kang X, Aboul-Enein F, Yang L, Hayes S, Friedman J, Berman D, Germano G, Santana CA, Rivero A, Folks RD, Grossman GB, Cooke CD, Hunsche A, Faber TL, Halkar R, Garcia EV, Hansen CL, Silver S, Kaplan A, Rasalingam R, Awar M, Shirato S, Reist K, Htay T, Mehta D, Cho JH, Heo J, Dubovsky E, Calnon DA, Grewal KS, George PB, Richards DR, Hsi DH, Singh N, Meszaros Z, Thomas JL, Reyes E, Loong CY, Latus K, Anagnostopoulos C, Underwood SR, Kostacos EJ, Araujo LI, Kostacos EJ, Araujo LI, Lewin HC, Hyun MC, DePuey EG, Tanaka H, Chikamori T, Igarashi Y, Harafuji K, Usui Y, Yanagisawa H, Hida S, Yamashina A, Nasr HA, Mahmoud SA, Dalipaj MM, Golanowski LN, Kemp RAD, Chow BJ, Beanlands RS, Ruddy TD, Michelena HI, Mikolich BM, McNelis P, Decker WAV, Stathopoulos I, Duncan SA, Isasi C, Travin MI, Kritzman JN, Ficaro EP, Corbett JR, Allison JS, Weinsaft JW, Wong FJ, Szulc M, Okin PM, Kligfield P, Harafuji K, Chikamori T, Igarashi Y, Tanaka H, Usui Y, Yanagisawa H, Hida S, Ishimaru S, Yamashima A, Giedd KN, Bergmann SR, Shah S, Emmett L, Allman KC, Magee M, Van Gaal W, Kritharides L, Freedman B, Abidov A, Gerlach J, Akincioglu C, Friedman J, Kavanagh P, Miranda R, Germano G, Berman DS, Hayes SW, Damera N, Lone B, Singh R, Shah A, Yeturi S, Prasad Y, Blum S, Heller EN, Bhalodkar NC, Koutelou M, Kollaros N, Theodorakos A, Manginas A, Leontiadis E, Kouzoumi A, Cokkinos D, Mazzanti M, Marini M, Cianci G, Perna GP, Pai M, Greenberg MD, Liu F, Frankenberger O, Kokkinos P, Hanumara D, Goheen E, Wu C, Panagiotakos D, Fletcher R, Greenberg MD, Liu F, Frankenberger O, Kokkinos P, Hanumara D, Goheen E, Rodriguez OJ, Iyer VN, Lue M, Hickey KT, Blood DK, Bergmann SR, Bokhari S, Chareonthaitawee P, Christensen SD, Allen JL, Kemp BJ, Hodge DO, Ritman EL, Gibbons RJ, Smanio P, Riva G, Rodriquez F, Tricoti A, Nakhlawi A, Thom A, Pretorius PH, King MA, Dahlberg S, Leppo J, Slomka PJ, Nishina H, Berman DS, Akincioglu C, Abidov A, Friedman JD, Hayes SW, Germano G, Petrovici R, Husain M, Lee DS, Nanthakumar K, Iwanochko RM, Brunken RC, DiFilippo F, Neumann DR, Bybel B, Herrington B, Bruckbauer T, Howe C, Lohmann K, Hayden C, Chatterjee C, Lathrop B, Brunken RC, Chen MS, Lohmann KA, Howe WC, Bruckbauer T, Kaczur T, Bybel B, DiFilippo FP, Druz RS, Akinboboye OA, Grimson R, Nichols KJ, Reichek N, Ngai K, Dim R, Ho KT, Pary S, Ahmed SU, Ahlberg A, Cyr G, Vitols PJ, Mann A, Alexander L, Rosenblatt J, Mieres J, Heller GV, Ahmed SU, Ahlberg AW, Cyr G, Navare S, O’Sullivan D, Heller GV, Chiadika S, Lue M, Blood DK, Bergmann SR, Bokhari S, Heston TF, Heller GV, Cerqueira MD, Jones PG, Bryngelson JR, Moutray KL, Gegen LL, Hertenstein GK, Moser K, Case JA, Zellweger MJ, Burger PC, Pfisterer ME, Mueller-Brand J, Kang WJ, Lee BI, Lee DS, Paeng JC, Lee JS, Chung JK, Lee MC, To BN, O’Connell WJ, Botvinick EH, Duvall WL, Croft LB, Einstein AJ, Fisher JE, Haynes PS, Rose RK, Henzlova MJ, Prasad Y, Vashist A, Blum S, Sagar P, Heller EN, Kuwabara Y, Nakayama K, Tsuru Y, Nakaya J, Shindo S, Hasegawa M, Komuro I, Liu YH, Wackers F, Natale D, DePuey G, Taillefer R, Araujo L, Kostacos E, Allen S, Delbeke D, Anstett F, Kansal P, Calvin JE, Hendel RC, Gulati M, Pratap P, Takalkar A, Kostacos E, Alavi A, Araujo L, Melduni RM, Duncan SA, Travin MI, Isasi CR, Rivero A, Santana C, Esiashvili S, Grossman G, Halkar R, Folks RD, Garcia EV, Su H, Dobrucki LW, Chow C, Hu X, Bourke BN, Cavaliere P, Hua J, Sinusas AJ, Spinale FG, Sweterlitsch S, Azure M, Edwards DS, Sudhakar S, Chyun DA, Young LH, Inzucchi SE, Davey JA, Wackers FJ, Noble GL, Navare SM, Calvert J, Hussain SA, Ahlberg AM, Katten DM, Boden WE, Heller GV, Shaw LJ, Yang Y, Antunes A, Botelho MF, Gomes C, de Lima JJP, Silva ML, Moreira JN, Simões S, GonÇalves L, Providência LA, Elhendy A, Bax JJ, Schinkel AF, Valkema R, van Domburg RT, Poldermans D, Arrighi J, Lampert R, Burg M, Soufer R, Veress AI, Weiss JA, Huesman RH, Gullberg GT, Moser K, Case JA, Loong CY, Prvulovich EM, Reyes E, Aswegen AV, Anagnostopoulos C, Underwood SR, Htay T, Mehta D, Sun L, Lacy J, Heo J, Brunken RC, Kaczur T, Jaber W, Ramakrishna G, Miller TD, O’connor MK, Gibbons RJ, Bural GG, Mavi A, Kumar R, El-Haddad G, Srinivas SM, A Alavi, El-Haddad G, Alavi A, Araujo L, Thomas GS, Johnson CM, Miyamoto MI, Thomas JJ, Majmundar H, Ryals LA, Ip ZTK, Shaw LJ, Bishop HA, Carmody JP, Greathouse WG, Yanagisawa H, Chikamori T, Tanaka H, Usui Y, Igarashi U, Hida S, Morishima T, Tanaka N, Takazawa K, Yamashina A, Diedrichs H, Weber M, Koulousakis A, Voth E, Schwinger RHG, Mohan HK, Livieratos L, Gallagher S, Bailey DL, Chambers J, Fogelman I, Sobol I, Barst RJ, Nichols K, Widlitz A, Horn E, Bergmann SR, Chen J, Galt JR, Durbin MK, Ye J, Shao L, Garcia EV, Mahenthiran J, Elliott JC, Jacob S, Stricker S, Kalaria VG, Sawada S, Scott JA, Aziz K, Yasuda T, Gewirtz H, Hsu BL, Moutray K, Udelson JE, Barrett RJ, Johnson JR, Menenghetti C, Taillefer R, Ruddy T, Hachamovitch R, Jenkins SA, Massaro J, Haught H, Lim CS, Underwood R, Rosman J, Hanon S, Shapiro M, Schweitzer P, VanTosh A, Jones S, Harafuji K, Giedd KN, Johnson NP, Berliner JI, Sciacca RR, Chou RL, Hickey KT, Bokhari SS, Rodriguez O, Bokhari S, Moser KW, Moutray KL, Koutelou M, Theodorakos A, Kollaros N, Manginas A, Leontiadis E, Cokkinos D, Mazzanti M, Marini M, Cianci G, Perna GP, Nanasato M, Fujita H, Toba M, Nishimura T, Nikpour M, Urowitz M, Gladman D, Ibanez D, Harvey P, Floras J, Rouleau J, Iwanochko R, Pai M, Guglin ME, Ginsberg FL, Reinig M, Parrillo JE, Cha R, Merhige ME, Watson GM, Oliverio JG, Shelton V, Frank SN, Perna AF, Ferreira MJ, Ferrer-Antunes AI, Rodrigues V, Santos F, Lima J, Cerqueira MD, Magram MY, Lodge MA, Babich JW, Dilsizian V, Line BR, Bhalodkar NC, Lone B, Singh R, Prasad Y, Yeturi S, Blum S, Heller EN, Rodriguez OJ, Skerrett D, Charles C, Shuster MD, Itescu S, Wang TS, Bruyant PP, Pretorius PH, Dahlberg S, King MA, Petrovici R, Iwanochko RM, Lee DS, Emmett L, Husain M, Hosokawa R, Ohba M, Kambara N, Tadamura E, Kubo S, Nohara R, Kita T, Thompson RC, McGhie AI, O’Keefe JH, Christenson SD, Chareonthaitawee P, Kemp BJ, Jerome S, Russell TJ, Lowry DR, Coombs VJ, Moses A, Gottlieb SO, Heiba SI, Yee G, Coppola J, Elmquist T, Braff R, Youssef I, Ambrose JA, Abdel-Dayem HM, Canto J, Dubovsky E, Scott J, Terndrup TE, Faber TL, Folks RD, Dim UR, Mclaughlin J, Pollepalle D, Schapiro W, Wang Y, Akinboboye O, Ngai K, Druz RS, Polepalle D, Phippen-Nater B, Leonardis J, Druz R. Abstracts of original contributions ASNC 2004 9th annual scientific session September 3-–October 3, 2004 New York, New York. J Nucl Cardiol 2004. [DOI: 10.1007/bf02974964] [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: 11/29/2022]
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Isasi C, Sanz J, Hijós M, Vaquero M, Saucedo G, Andreu JL. Successful treatment of optic neuropathy in osteitis deformans. Rheumatology (Oxford) 2002; 41:948-50. [PMID: 12154218 DOI: 10.1093/rheumatology/41.8.948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Contreras MA, Andreu JL, Isasi C, Barbadillo C. False positive treponemal test result in a patient with active systemic lupus erythematosus. J Rheumatol 2000; 27:2059. [PMID: 10955363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
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Yang Q, Rabinowitz D, Isasi C, Shea S. Adjusting for confounding due to population admixture when estimating the effect of candidate genes on quantitative traits. Hum Hered 2000; 50:227-33. [PMID: 10782014 DOI: 10.1159/000022920] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
When analyzing the relationship between allelic variability and traits, a potential source of confounding is population admixture. An approach to adjusting for potential confounding due to population admixture when estimating the influence of allelic variability at a candidate gene is presented. The approach involves augmenting linear regression models with additional regressors. Family genotype data are used to define the regressors, and inclusion of the regressors ensures that, even in the presence of population admixture, the estimates of the regression coefficients that parameterize the influence of allelic variability on the trait are unbiased. The approach is illustrated through an analysis of the influence of apolipoprotein E genotype on plasma low density lipoprotein cholesterol concentrations.
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Affiliation(s)
- Q Yang
- Department of Statistics, Columbia University, New York, N.Y., USA
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Contreras MA, Usseti P, Barbadillo C, Isasi C. Extosis of rib simulating a solitary pulmonary nodule. J Rheumatol 2000; 27:1796-7. [PMID: 10914872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- M A Contreras
- Department of Rheumatology, Clinica Puerta de Hierro, Madrid, Spain
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Contreras A, Isasi C, Silveira J, Barbadillo C, Mulero J, Andreu JL. Intraarticular osteoid osteoma. J Rheumatol 2000; 27:1560-1. [PMID: 10852292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- A Contreras
- Department of Rheumatology, Clínica Puerta de Hierro, Madrid, Spain
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Andreu JL, Sanz J, Isasi C, Mulero J. [Local treatment of rheumatoid arthritis]. Rev Clin Esp 2000; 200 Monog 1:96-100. [PMID: 10901033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Affiliation(s)
- J L Andreu
- Servicio de Reumatología, Hospital Universitario Clínica Puerta de Hierro, Madrid
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Affiliation(s)
- V Peiró
- Nuclear Medicine and Rheumatology Services, Clinica Puerta de Hierro, Madrid, Spain.
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Cuende E, Barbadillo C, E-Mazzucchelli R, Isasi C, Trujillo A, Andréu JL. Candida arthritis in adult patients who are not intravenous drug addicts: report of three cases and review of the literature. Semin Arthritis Rheum 1993; 22:224-41. [PMID: 8484130 DOI: 10.1016/0049-0172(93)80071-m] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.1] [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: 01/31/2023]
Abstract
Candida species are an uncommon cause of infectious arthritis, although the frequency has increased during recent years. Three cases of septic arthritis caused by Candida species are reported, and the literature is reviewed. The first patient developed a popliteal cyst infected by Candida albicans after multiple intravenous antibiotic treatments. The second patient had acute myelogenous leukemia and experienced knee arthritis after chemotherapy, and the third suffered oligoarthritis after a second heart transplantation. All patients received treatment with a standard dose of intravenous amphotericin B. Responses were achieved only in the first two cases; the third patient died despite therapy. Thirty-six previously reported Candida arthritis cases are reviewed, and epidemiologic, diagnostic, therapeutic, and prognostic features are analyzed. Cases are divided into two categories: direct inoculation of fungus and hematogenously disseminated disease; these two categories are compared in terms of sex, age, pathogen species, treatment, and survival. Arthritis induced through direct inoculation of fungus is seen in older individuals, is more frequently produced by species other than C albicans (Candida parapsilosis especially), and has a better prognosis than arthritis caused by disseminated candidiasis. Arthritis can be resolved even in the persistence of the systemic disease. It is believed that the first case of Baker's cyst infected by C albicans and the first case of Candida arthritis in a heart transplant patient are reported here.
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Affiliation(s)
- E Cuende
- Servicio de Reumatologia, Clinica Puerta de Hierro, Madrid, Spain
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Lapeña P, Isasi C, Moltó L, Martínez R, Vaquero J, Alvarez-Mon M. Interleukin 2 and interferon alpha modulation of the lymphocyte non-major histocompatibility-restricted lytic activity in glioblastoma patients. Int J Immunopharmacol 1992; 14:1307-13. [PMID: 1464464 DOI: 10.1016/0192-0561(92)90001-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We studied the non-major histocompatibility-restricted cytotoxic activity induced by interleukin 2 (IL-2) and interferon alpha (IFN-alpha) in mononuclear cells of peripheral blood (PBMNC) from glioblastoma patients. We observed a depressed cytotoxic activity against natural killer (NK)-sensitive target cells in PBMNC from all the patients studied. Culture of these PBMNC with IFN-alpha for 5 days augmented the cytotoxic activity against NK-sensitive target cells in a small group of patients. Incubation with IL-2 for 5 days normalizes the decreased cytotoxic activity against NK-sensitive target cells of PBMNC from all the glioblastoma patients studied. When PBMNC from these patients were incubated with IL-2 for 5 days and IFN-alpha was added to the culture medium in the last 2 h of culture, an enhancement of non-major histocompatibility-restricted cytotoxic activity was observed compared with that obtained with either IL-2 or IFN-alpha alone. This improvement of the cytotoxic activity was more relevant when it was tested against NK-resistant target cells. The potential utility of the sequential use of the two cytokines in generating non-major histocompatibility cytotoxic activity in glioblastoma patients is discussed.
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Affiliation(s)
- P Lapeña
- Department of Medicine, Hospital Universitario Príncipe de Asturias, Universidad de Alcalá de Henares, Madrid, Spain
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Cuende E, Barbadillo C, Trujillo A, Isasi C, Mulero J, Andreu-Sanchez JL. Baker's cyst infected by Candida albicans. Clin Exp Rheumatol 1992; 10:422-3. [PMID: 1395228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Lapeña P, Isasi C, Vaquero J, Martinez R, Alvarez-Mon M. Modulation by interferon alpha of the decreased natural killer activity in patients with glioblastoma. Acta Neurochir (Wien) 1991; 109:109-13. [PMID: 1858528 DOI: 10.1007/bf01403004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [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: 12/29/2022]
Abstract
It is known that natural killer (NK) cells are involved in immunosurveillance against tumours. This study examines the NK activity of mononuclear cells (MNC) from the peripheral blood of patients with glioblastoma. The cytotoxic inducer effect of interferon-alpha (IFN-alpha) upon these MNC has also been studied. A marked decrease in NK activity mediated by MNC from these patients was found. This functional defected in MNC is not due to a decrease in phenotypically defined NK cells. After long-term (5-day) incubation with IFN-alpha, MNC from 5 out of 14 patients showed strong lytic activity against NK-sensitive target cells. In this system, IFN-alpha failed to induce cytotoxic activity against NK-resistant target cells in MNC from all the patients studied. This in vitro induction of cytotoxic activity in MNC from some patients with glioblastoma by IFN-alpha suggests a potential immunotherapeutic use of the lymphokine in these subjects.
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Affiliation(s)
- P Lapeña
- Department of Medicine, Hospital Universitario Principe de Asturias, Universidad de Alcalá de Henares, Madrid, Spain
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Cuende E, Isasi C, Barbadillo C, Andreu JL. [Arthritis in Neisseria meningitidis sepsis]. Rev Clin Esp 1991; 188:56-7. [PMID: 2063034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Manzano L, Isasi C, Lizasoaín M, Alvarez-Mon M. [Spontaneous cytotoxic cells and predisposition to infections in systemic lupus erythematosus]. Med Clin (Barc) 1990; 95:677. [PMID: 2089215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Isasi C, López-Martín JA, Angeles Trujillo M, Andreu JL, Palacio S, Mulero J. Felty's syndrome: response to low dose oral methotrexate. J Rheumatol 1989; 16:983-5. [PMID: 2504919] [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: 01/01/2023]
Abstract
We describe a case of Felty's syndrome with persistent severe neutropenia below 200 granulocytes/mm3, splenomegaly and repeated infections. The patient did not respond to treatment with intramuscular gold salts and lithium carbonate. After 2 months of oral methotrexate administration, 7.5 mg weekly, clinical improvement was notable: she remained afebrile, neutropenia disappeared and splenomegaly regressed. This clinical and laboratory improvement persisted 5 months later. Moreover, accidental discontinuance of the drug and later readministration supported the evidence that the improvement was due to methotrexate.
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Affiliation(s)
- C Isasi
- Servicio de Reumatología, Clínica Puerta de Hierro, Madrid, Spain
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Marín JF, Trujillo A, Lucero MJ, Isasi C. [Osteoarticular disorder of the hip in a heroin addict with systemic candidiasis]. Med Clin (Barc) 1988; 90:516-7. [PMID: 3393037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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