ROBIN C PUETT

Summary

Affiliation: University of South Carolina
Country: USA

Publications

  1. pmc Chronic particulate exposure, mortality, and coronary heart disease in the nurses' health study
    ROBIN C PUETT
    Department of Environmental Health Sciences, University of South Carolina, 2221 Devine Street, Columbia, SC 29208, USA
    Am J Epidemiol 168:1161-8. 2008
  2. pmc Chronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses' Health Study
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program and Department of Epidemiology, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina 29201, USA
    Environ Health Perspect 117:1697-701. 2009
  3. pmc Are particulate matter exposures associated with risk of type 2 diabetes?
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program, Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, 29208, USA
    Environ Health Perspect 119:384-9. 2011
  4. doi request reprint Neighborhood context and incidence of type 1 diabetes: the SEARCH for Diabetes in Youth study
    ROBIN C PUETT
    Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20742, USA
    Health Place 18:911-6. 2012
  5. pmc Particulate matter exposures, mortality, and cardiovascular disease in the health professionals follow-up study
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program and Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
    Environ Health Perspect 119:1130-5. 2011
  6. pmc Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes
    James D Hibbert
    Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
    Int J Health Geogr 8:54. 2009
  7. pmc Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study
    Angela D Liese
    Department of Epidemiology and Biostatistics and Center for Research in Nutrition and Health Disparities, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA
    Int J Health Geogr 11:1. 2012

Detail Information

Publications7

  1. pmc Chronic particulate exposure, mortality, and coronary heart disease in the nurses' health study
    ROBIN C PUETT
    Department of Environmental Health Sciences, University of South Carolina, 2221 Devine Street, Columbia, SC 29208, USA
    Am J Epidemiol 168:1161-8. 2008
    ..In this population, increases in such exposures were associated with increases in all-cause and CHD mortality. Never smokers with higher body mass indexes were at greatest risk of fatal CHD...
  2. pmc Chronic fine and coarse particulate exposure, mortality, and coronary heart disease in the Nurses' Health Study
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program and Department of Epidemiology, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina 29201, USA
    Environ Health Perspect 117:1697-701. 2009
    ..5 and 10 microm (PM(10-2.5)), may also be important. With respect to mortality and cardiovascular events, questions remain regarding the relative strength of effect sizes for chronic exposure to fine and coarse particles...
  3. pmc Are particulate matter exposures associated with risk of type 2 diabetes?
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program, Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, 29208, USA
    Environ Health Perspect 119:384-9. 2011
    ..Although studies have found that diabetes mellitus (DM) modifies the impact of exposures from air pollution on cardiovascular outcomes, information is limited regarding DM as an air pollution-associated outcome...
  4. doi request reprint Neighborhood context and incidence of type 1 diabetes: the SEARCH for Diabetes in Youth study
    ROBIN C PUETT
    Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20742, USA
    Health Place 18:911-6. 2012
    ..Our study suggests a relationship of T1DM incidence with neighborhood-level socioeconomic status, independent of individual-level race/ethnic differences...
  5. pmc Particulate matter exposures, mortality, and cardiovascular disease in the health professionals follow-up study
    ROBIN C PUETT
    South Carolina Cancer Prevention and Control Program and Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
    Environ Health Perspect 119:1130-5. 2011
    ..Questions remain regarding sex differences in the relationship of chronic particulate matter (PM) exposures with mortality and cardiovascular outcomes...
  6. pmc Evaluating geographic imputation approaches for zip code level data: an application to a study of pediatric diabetes
    James D Hibbert
    Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
    Int J Health Geogr 8:54. 2009
    ..Several geographic imputation methods have been suggested to overcome this limitation. Accuracy evaluation of these methods can be focused at the level of individuals and at higher group-levels (e.g., spatial distribution)...
  7. pmc Neighborhood level risk factors for type 1 diabetes in youth: the SEARCH case-control study
    Angela D Liese
    Department of Epidemiology and Biostatistics and Center for Research in Nutrition and Health Disparities, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA
    Int J Health Geogr 11:1. 2012
    ..Home addresses were used to identify Census tracts of residence. Neighborhood-level variables were obtained from 2000 U.S. Census. Multivariate generalized linear mixed models were applied...