Jonathan M Samet

Wonju Severance Christian Hospital, Genshū, Gangwon, South Korea

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Publications (499)3575.45 Total impact

  • [Show abstract] [Hide abstract]
    ABSTRACT: The International Agency for Research on Cancer recently classified outdoor air pollution and airborne particulate matter as carcinogenic to humans. However, there are gaps in the epidemiologic literature, including assessment of possible joint effects of cigarette smoking and fine particulate matter (particulate matter less than or equal to 2.5 µm in diameter) on lung cancer risk. We present estimates of interaction on the additive scale between these risk factors from Cancer Prevention Study II, a large prospective US cohort study of nearly 1.2 million participants recruited in 1982. Estimates of the relative excess risk of lung cancer mortality due to interaction, the attributable proportion due to interaction, and the synergy index were 2.19 (95% confidence interval (CI): -0.10, 4.83), 0.14 (95% CI: 0.00, 0.25), and 1.17 (95% CI: 1.00, 1.37), respectively, using the 25th and 75th percentiles as cutpoints for fine particulate matter. This suggests small increases in lung cancer risk among persons with both exposures beyond what would be expected from the sum of the effects of the individual exposures alone. Although reductions in cigarette smoking will achieve the greatest impact on lung cancer rates, these results suggest that attempted reductions in lung cancer risk through both tobacco control and air quality management may exceed expectations based on reducing exposure to either risk factor alone.
    American Journal of Epidemiology 11/2014; · 4.98 Impact Factor
  • Jonathan M. Samet, Ross C. Brownson
    American Journal of Preventive Medicine 11/2014; 47(5):S383–S385. · 4.28 Impact Factor
  • Jonathan M Samet, Sofia Gruskin
    The Lancet Respiratory Medicine. 10/2014;
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    Jonathan M. Samet
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    ABSTRACT: Engineered nanomaterials have structured components less than 100 nanometers or 0.1 μm in greatest diameter. Products with nanomaterials as their basis are diverse, including diagnostic and therapeutic agents, stain-resistant clothing, solar cells, sun blocks, and cosmetics, and an expanding array of applications is anticipated. The increasing production and use of engineered nanomaterials may lead to greater exposures of workers, consumers, and the environment, and raises concerns about potential harms to human and ecosystem health. This paper addresses the general topic of research on engineered nanomaterials, health, and the environment. It covers the history of research planning on engineered nanomaterials, giving emphasis to the recent reports from a committee of the US National Research Council. The two reports from this committee offered a framework-based research strategy intended to address critical uncertainties. This paper ends with general lessons learned from experience with engineered nanomaterials that may apply to other emerging environmental threats.
    Current Environmental Health Reports. 09/2014; 1(3).
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    ABSTRACT: Implementation Science is a set of tools, principles and methodologies that can be used to bring scientific evidence into action, improve health care quality and delivery and improve public health. As the burden of cancer increases in low- and middle-income countries, it is important to plan cancer control programs that are both evidence-based and delivered in ways that are feasible, cost-effective, contextually appropriate and sustainable. This review presents a framework for using implementation science for cancer control planning and implementation and discusses potential areas of focus for research and programs in low and middle-income countries interested in integrating research into practice and policy.
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    ABSTRACT: While hair samples are easier to collect and less expensive to store and transport than biological fluids, and hair nicotine characterizes tobacco exposure over a longer time period than blood or urine cotinine, information on its utility, compared with salivary cotinine, is still limited. We conducted a cross-sectional study with 289 participants (107 active smokers, 105 passive smokers with self-reported secondhand smoke (SHS) exposure, and 77 non-smokers with no SHS exposure) in Baltimore (Maryland, USA). A subset of the study participants (n = 52) were followed longitudinally over a two-month interval. Median baseline hair nicotine concentrations for active, passive and non-smokers were 16.2, 0.36, and 0.23 ng/mg, respectively, while those for salivary cotinine were 181.0, 0.27, and 0.27 ng/mL, respectively. Hair nicotine concentrations for 10% of passive or non-smokers were higher than the 25th percentile value for active smokers while all corresponding salivary cotinine concentrations for them were lower than the value for active smokers. This study showed that hair nicotine concentration values could be used to distinguish active or heavy passive adult smokers from non-SHS exposed non-smokers. Our results indicate that hair nicotine is a useful biomarker for the assessment of long-term exposure to tobacco smoke.
    International Journal of Environmental Research and Public Health 08/2014; 11(8):8368-8382. · 1.99 Impact Factor
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    ABSTRACT: Genome-wide association studies (GWAS) for orofacial clefts have identified several susceptibility regions, but have largely focused on non-Hispanic White populations in developed countries. We performed a targeted genome-wide study of single nucleotide polymorphisms (SNPs) in exons using the Illumina HumanExome+ array with custom fine mapping of 16 cleft susceptibility regions in three underserved populations: Congolese (87 case-mother, 210 control-mother pairs), Vietnamese (131 case-parent trios), and Filipinos (42 case-mother, 99 control-mother pairs). All cases were children with cleft lip with or without cleft palate. Families were recruited from local hospitals and parental exposures were collected using interviewer-administered questionnaires. We used logistic regression models for case-control analyses, family-based association tests for trios, and fixed-effect meta-analyses to determine individual SNP effects corrected for multiple testing. Of the 16 known susceptibility regions tested, SNPs in four regions reached statistical significance in one or more of these populations: 1q32.2 (IRF6), 10q25.3 (VAX1), and 17q22 (NOG). Due to different linkage disequilibrium patterns, significant SNPs in these regions differed between the Vietnamese and Filipino populations from the index SNP selected from previous GWAS studies. Among Africans, there were no significant associations identified for any of the susceptibility regions. rs10787738 near VAX1 (P = 4.98E−3) and rs7987165 (P = 6.1E−6) were significant in the meta-analysis of all three populations combined. These results confirm several known susceptibility regions and identify novel risk alleles in understudied populations. © 2014 Wiley Periodicals, Inc.
    American Journal of Medical Genetics Part A 08/2014; · 2.30 Impact Factor
  • Epidemiology (Cambridge, Mass.) 07/2014; 25(4):618. · 6.18 Impact Factor
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    ABSTRACT: Particulate matter (PM) in outdoor air pollution was recently designated a Group I carcinogen by the International Agency for Research on Cancer (IARC). This determination was based on the evidence regarding the relationship of PM2.5 and PM10 to lung cancer risk; however, the IARC evaluation did not include a quantitative summary of the evidence.
    Environmental Health Perspectives 06/2014; · 7.03 Impact Factor
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    Jonathan M Samet, Heather L Wipfli, Sofia Gruskin
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    ABSTRACT: This commentary addresses the article in this issue by Huddle and colleagues concerning the implementation of policies by the University of Alabama at Birmingham (UAB) School of Medicine and other academic health centers to not hire users of tobacco products. Huddle and colleagues explore the basis for such policies and find that even though institutions may be within their rights to implement such policies, the policies are inconsistent with the societal role of an academic health center as a caregiving institution. They see a potential for discrimination, as contemporary users of tobacco are more likely to have less education and lower incomes than nonusers.The authors of this commentary review the arguments for and against such policies and explore the complexities of the implementation of such a policy by a state institution. They express concern that a state institution has chosen not to hire state residents who use tobacco products, which are legal. The authors also explore the potentially discriminatory aspects of such policies and possible implications of these policies in the context of rights and legal frameworks.The academic medicine community must learn from the experience that will follow from such policies as well as from other state and nonstate institutions that have implemented similar employment policies. Huddle and colleagues have provided a thoughtful contribution to a complex and inevitably continuing discussion.
    Academic medicine: journal of the Association of American Medical Colleges 06/2014; 89(6):837-9. · 2.34 Impact Factor
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    ABSTRACT: Nitrogen dioxide (NO2), a ubiquitous atmospheric pollutant, has been reported to enhance the asthmatic response to allergen through eosinophilic activation in the airways. The effect of NO2 on inflammation without exposure to allergen is poorly studied. We investigated whether repeated peaks of NO2, at various realistic concentrations, induce changes in airway inflammation in asthmatics. 19 nonsmoker asthmatics were exposed at rest in a double-blind, crossover study, in randomized order, to 200 ppb NO2, or 600 ppb NO2, or clean air for 1x30 min day 1, and 2x30 min day 2. The three series of exposures were separated by 2 weeks. Inflammatory response in sputum was measured 6 hours (day 1), 32 hours (day 2), and 48 hours (day 3) after first exposure and compared to baseline measured twice 10 to 30 days before. Compared to baseline, the percentage of eosinophils in sputum increased by 57% after 600 ppb NO2 (P=0.003) but did not change significantly after 200 ppb. The slope of the association between the percentage of eosinophils and NO2 exposure level was significant (p=0.04). Eosinophil cationic protein (ECP) in sputum was highly correlated with eosinophil count and increased significantly after exposure to 600 ppb NO2 (p=0.001). Lung function assessed daily was not affected by NO2. To our knowledge, this is the first study on repeated NO2 peaks performed without allergen exposure that demonstrates a dose-related effect on airway eosinophilic inflammation in asthmatics.
    Environmental Health Perspectives 04/2014; · 7.26 Impact Factor
  • Beth L Pineles, Edward Park, Jonathan M Samet
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    ABSTRACT: We conducted a systematic review and meta-analysis to characterize the relationship between smoking and miscarriage. We searched the PubMed database (1956-August 31, 2011) using keywords and conducted manual reference searches of included articles and reports of the US Surgeon General. The full text of 1,706 articles was reviewed, and 98 articles that examined the association between active or passive smoking and miscarriage were included in the meta-analysis. Data were abstracted by 2 reviewers. Any active smoking was associated with increased risk of miscarriage (summary relative risk ratio = 1.23, 95% confidence interval (CI): 1.16, 1.30; n = 50 studies), and this risk was greater when the smoking exposure was specifically defined as during the pregnancy in which miscarriage risk was measured (summary relative risk ratio = 1.32, 95% CI: 1.21, 1.44; n = 25 studies). The risk of miscarriage increased with the amount smoked (1% increase in relative risk per cigarette smoked per day). Secondhand smoke exposure during pregnancy increased the risk of miscarriage by 11% (95% CI: 0.95, 1.31; n = 17 studies). Biases in study publication, design, and analysis did not significantly affect the results. This finding strengthens the evidence that women should not smoke while pregnant, and all women of reproductive age should be warned that smoking increases the risk of miscarriage.
    American journal of epidemiology 02/2014; · 4.98 Impact Factor
  • Epidemiology (Cambridge, Mass.) 01/2014; 25(1):23-7. · 6.18 Impact Factor
  • Jonathan M Samet
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    ABSTRACT: Smoking cessation benefits health and lengthens life expectancy at any age.(1, 2) With that rationale, smoking cessation figures centrally in comprehensive tobacco control initiatives, including the recommendations of the US Preventive Services Task Force and the World Health Organization.(3, 4) The population of the United States has recognized the personal benefits of stopping smoking and, at present, the majority of those who have ever smoked cigarettes have stopped.(2, 5) Public health benefits have been realized. Smoking cessation is a powerful driver of the decline in cardiovascular mortality over the last 4 decades and also of the more recent declines in rates of smoking-caused cancers among men.(2, 6, 7.)
    Circulation 12/2013; · 14.95 Impact Factor
  • Diane R Gold, Jonathan M Samet
    Circulation 11/2013; 128(21):e411-4. · 14.95 Impact Factor
  • Hipertensión y Riesgo Vascular 07/2013; 17(5):230.
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    ABSTRACT: To describe the rationale, objectives, protocol, and preliminary results for a new prospective cohort study of cardiovascular disease (CVD) risk factors in South Korea. Study members were recruited from participants in routine health assessments at health promotion centres across South Korea. Established and emerging CVD risk factors were measured. Eighteen centres holding electronic health records agreed to linkage of participants' records to future health insurance claims for monitoring of disease events. The recruitment of 430,920 participants (266,782 men, 164,138 women), aged 30-74 years, provides broad geographical reach across South Korea. Risk factor prevalence was more favourable in women than men, and, in general, in the younger rather than older study members. There was also close similarity between the characteristics of the present sample and the Korean National Health and Nutrition Examination Survey. The expected associations between risk factors and both CVD and death were also apparent. Data from the present sample, based on data linkage, show close agreement with South Korea-wide surveys (for risk factor prevalence) and the extant literature (for risk factor associations). These findings gives confidence in future results anticipated from this cohort study of east Asians - a group that has been traditionally under-researched.
    European journal of preventive cardiology. 07/2013;
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    ABSTRACT: OBJECTIVE: To develop an approach for rapid assessment of tobacco control interventions in China. We examined the correlation between components of the Strength of Tobacco Control (SOTC) index and a proposed rapid evaluation indicator, the Policy Performance Indicator (PPI), which is based on protection of non-smokers from secondhand smoke (SHS). The PPI was used to assess the implementation of policies related to SHS at the provincial/municipal level in China. METHODS: Stratified random sampling was used to select five types of organisational and household respondents in two municipalities and five provinces in China (Shanghai and Tianjin, Heilongjiang, Henan, Guangdong, Zhejiang and Jiangxi, respectively). Data collection methods included key informant interviews, observation and intercept surveys (organisations), and a modified Global Adult Tobacco Survey (GATS) questionnaire (households). SOTC scores (SHS policy, capacity and efforts), PPI (no smoking in designated smoke-free places) and mid-term to long-term impact (knowledge, attitude and reduced exposure to SHS) were measured, and correlations among them were calculated. RESULTS: The PPI varied across the seven locations. Shanghai led in the component indicators (at 56.5% for indoor workplaces and 49.1% for indoor public places, respectively), followed by Guangdong, Tianjin and Zhejiang (at 30-35% for these two indicators), and finally, Henan and Jiangxi (at 20-25%). Smoke-free policies were more effectively implemented at indoor workplaces than indoor public places. The PPI correlated well with certain components of the SOTC but not with the long-term indicators. CONCLUSIONS: The PPI is useful for evaluating implementation of smoke-free policies. As tobacco control programmes are implemented, the PPI offers an indicator to track success and change strategies, without collecting data for a full SOTC index.
    Tobacco control 06/2013; · 3.85 Impact Factor
  • Jonathan M Samet
    International Journal of Epidemiology 06/2013; 42(3):894-5. · 9.20 Impact Factor
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    ABSTRACT: The "Air Pollution and Health: A Combined European and North American Approach" (APHENA) project is a collaborative analysis of multi-city time-series data on the association between air pollution and adverse health outcomes. The main objective of APHENA was to examine the coherence of findings of time-series studies relating short-term fluctuations in air pollution levels to mortality and morbidity in 125 cities in Europe, the US, and Canada. Multi-city time-series analysis was conducted using a two-stage approach. We used Poisson regression models controlling for overdispersion with either penalized or natural splines to adjust for seasonality. Hierarchical models were used to obtain an overall estimate of excess mortality associated with ozone and to assess potential effect modification. Potential effect modifiers were city-level characteristics related to exposure to other ambient air pollutants, weather, socioeconomic status, and the vulnerability of the population. Regionally pooled risk estimates from Europe and the US were similar; those from Canada were substantially higher. The pooled estimated excess relative risk associated with a 10 µg/m(3) increase in 1 h daily maximum O3 was 0.26 % (95 % CI, 0.15 %, 0.37 %). Across regions, there was little consistent indication of effect modification by age or other effect modifiers considered in the analysis. The findings from APHENA on the effects of O3 on mortality in the general population were comparable with previously reported results and relatively robust to the method of data analysis. Overall, there was no indication of strong effect modification by age or ecologic variables considered in the analysis.
    Air Quality Atmosphere & Health 06/2013; 6(2):445-453. · 1.46 Impact Factor

Publication Stats

22k Citations
3,575.45 Total Impact Points


  • 2013
    • Wonju Severance Christian Hospital
      Genshū, Gangwon, South Korea
  • 2009–2013
    • University of Southern California
      • Department of Preventive Medicine
      Los Angeles, CA, United States
    • Yonsei University Hospital
      Sŏul, Seoul, South Korea
    • Catalan Institute of Oncology
      Badalona, Catalonia, Spain
    • Louisiana State University Health Sciences Center New Orleans
      • School of Public Health
      Baton Rouge, LA, United States
    • Institut Català d'Oncologia
      Barcino, Catalonia, Spain
    • Lovelace Respiratory Research Institute
      Albuquerque, New Mexico, United States
    • Keck School of Medicine USC
      Los Angeles, California, United States
  • 1998–2013
    • Johns Hopkins Bloomberg School of Public Health
      • • Department of Biostatistics
      • • Department of Epidemiology
      Baltimore, MD, United States
  • 1994–2013
    • Johns Hopkins University
      • • Department of Epidemiology
      • • Institute for Global Tobacco Control
      • • Department of Biostatistics
      Baltimore, MD, United States
    • New Mexico Department of Health
      Santa Fe, New Mexico, United States
    • University of Texas Medical Branch at Galveston
      Galveston, Texas, United States
  • 1992–2013
    • Harvard Medical School
      • Department of Medicine
      Boston, Massachusetts, United States
    • University Center Rochester
      Rochester, Minnesota, United States
  • 2000–2012
    • Johns Hopkins Medicine
      • Department of Epidemiology
      Baltimore, MD, United States
  • 1986–2012
    • University of New Mexico
      • • Division of Hospital Medicine
      • • Cancer Research and Treatment Center
      • • Department of Internal Medicine
      • • Department of Family And Community Medicine
      • • School of Medicine
      Albuquerque, New Mexico, United States
  • 2011
    • National Institutes of Health
      Maryland, United States
    • San Francisco VA Medical Center
      San Francisco, California, United States
  • 2009–2011
    • University of Illinois at Chicago
      • Department of Medicine (Chicago)
      Chicago, IL, United States
  • 2010
    • University of Texas Health Science Center at Houston
      • School of Public Health
      Houston, TX, United States
    • Washington University in St. Louis
      San Luis, Missouri, United States
    • Pan American Health Organization (PAHO)
      Washington, Washington, D.C., United States
  • 2005–2010
    • Yonsei University
      • Graduate School of Public Health
      Seoul, Seoul, South Korea
    • Instituto Nacional de Salud Pública
      Cuernavaca, Morelos, Mexico
  • 2004–2009
    • Yale University
      • School of Forestry and Environmental Studies
      New Haven, CT, United States
    • University of Florida
      • Department of Statistics
      Gainesville, FL, United States
  • 2008
    • Sungkyunkwan University
      • Department of Molecular and Cell Biology
      Seoul, Seoul, South Korea
  • 2007
    • Medical University of South Carolina
      • Hollings Cancer Center
      Charleston, SC, United States
    • Brazilian National Cancer Institute
      Rio de Janeiro, Rio de Janeiro, Brazil
  • 2006
    • Boston College, USA
      Boston, Massachusetts, United States
  • 1982–2004
    • University of New Mexico Hospitals
      Albuquerque, New Mexico, United States
  • 2003
    • UK Department of Health
      Londinium, England, United Kingdom
  • 2002
    • University of Wisconsin, Madison
      • Department of Population Health Sciences
      Madison, MS, United States
  • 2001–2002
    • Southern California University of Health Sciences
      Whittier, California, United States
    • University of Minnesota Twin Cities
      • School of Public Health
      Minneapolis, MN, United States
  • 1997–2002
    • University of Maryland, Baltimore
      • • School of Dentistry
      • • Department of Epidemiology and Public Health
      Baltimore, MD, United States
    • Harvard University
      • Department of Environmental Health
      Boston, MA, United States
  • 1994–2002
    • Cancer Treatment Centre
      Anaheim, California, United States
  • 1993
    • Marshall University
      • Department of Family Medicine
      Huntington, WV, United States
  • 1990–1991
    • University of Wisconsin - Milwaukee
      Milwaukee, Wisconsin, United States
    • University of Rochester
      • Division of Hospital Medicine
      Rochester, NY, United States
  • 1988
    • Medical College of Wisconsin
      • Department of Medicine
      Milwaukee, WI, United States