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El-Zein RA, Etzel CJ, Munden RF. The cytokinesis-blocked micronucleus assay as a novel biomarker for selection of lung cancer screening participants. Transl Lung Cancer Res 2018; 7:336-346. [PMID: 30050771 DOI: 10.21037/tlcr.2018.05.09] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background Despite the promising results of the National Lung Screening Trial in reducing lung cancer mortality among high risk smokers, several challenges remain to be addressed. These include the high false positive rates and the large number of smokers screened in order to prevent one lung cancer death. In addition, host genetic susceptibility has not been integrated into selection of who should be screened. These challenges highlight the need to develop robust ways to identify susceptible smokers for appropriate screening. Methods We used the cytokinesis block micronucleus (CBMN) assay to assess smoking induced genetic instability among NLST participants. Blood cultures were prepared at time of entry into the screening study and DNA damage was recorded as the frequency of binucleated nucleoplasmic bridges and micronuclei. Low dose CT (LDCT) and chest X-ray (CXR) image findings were available upon unblinding of the NLST study and imaging data were merged with blood marker data for statistical analysis. Results A total of 641 participants were included in this study. The frequency of the CBMN endpoints at time of entry into the study was significantly higher among study participants who had a positive finding during the 3-year screening or reported lung cancer at the end of the follow-up period as compared to participants who were negative. Growth curve models were used to compare trajectories of change in CBMN endpoints between entry into the study and end-of-screening period. A statistically significant increase was predicted for CBMN endpoints among the study participants who were positive versus those who remained negative at the end-of-screening period (P<0.001). Conclusions Genetic instability biomarkers have the potential of facilitating the identification of genetically susceptible high-risk smokers who would benefit from targeted lung screening programs.
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Affiliation(s)
- Randa A El-Zein
- Department of Radiology, Houston Methodist Research Institute, Houston, Texas, USA
| | | | - Reginald F Munden
- Wake Forest Baptist Health and School of Medicine, Medical Center Blvd, Winston-Salem, NC, USA
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52
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Consommation de tabac et usage de cigarette électronique en France. Rev Mal Respir 2018; 35:673-685. [DOI: 10.1016/j.rmr.2018.01.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 01/14/2018] [Indexed: 11/22/2022]
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53
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Abstract
The concept of latency period has developed in chronic disease epidemiology by analogy with the incubation period associated with infectious diseases. We discuss the use of the concept of mean latency period to describe the temporal development of cancer and the underlying conceptual and methodologic problems. The respective roles of age at diagnosis, age at start of exposure, duration of exposure, and years since exposure in modifying cancer risks are considered. Multistep models for the development of cancer are illustrated, and their use and limitations for interpreting temporal associations in cancer development are discussed. Rather than trying to define exposure-disease relationships as being characterized by a long or a short latency period, It seems more promising to study the temporal sequence of disease development as a multistep process.
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Affiliation(s)
- R B Hayes
- Division of Cancer Etiology, National Cancer Institute, Bethesda, Maryland 20892
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54
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Negri E, La Vecchia C, Decarli A, Boyle P. Projections to the end of the Century of Mortality from Major Cancer Sites in Italy. TUMORI JOURNAL 2018; 76:420-8. [PMID: 2256185 DOI: 10.1177/030089169007600502] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We used an age-period-cohort model with arbitrary constraints on the parameters, fitted to the mortality data for the period 1955-84, to project rates in mortality from all cancers and 11 major cancer sites in Italy for the period 1985-1999. For all neoplasms considered, using estimated age and cohort values, two models were fitted, one based on constant period effects, and one on a linear regression on the logarithm of the six calendar periods. Furthermore, « a priori » defined coefficients based on epidemiologic inferences were given to period values for tobacco-related neoplasms (below unity for males, above unity for females, on the basis of recent trends in tobacco prevalence in the two sexes), for breast and ovarian cancer (in relation to the potentially different effect of oral contraceptives, other female hormones, reproductive factors and treatment on these neoplasms), and for total cancer mortality. This produced a range of potential estimates, which were reasonably similar for neoplasms (such as stomach, intestines, breast, ovary or prostate) for which no major change in slope of the cohort effects was evident, but wider (i.e., between 188 and 264/100,000 males aged 40 to 79 in 1995-99) for lung or other tobacco-related cancers. Although this range of variation is far from negligible, the estimated values indicate that lung cancer among Italian males aged 40 to 79, even under the more optimistic assumption, will probably be higher at the end of the century than in the early 1980′s, and that lung cancer alone will account for 35 to 42% of all cancer deaths in males between 40 and 79 years. Though any prediction has, by definition, inherent difficulties and uncertainties, cancer mortality in the near future will be strongly influenced by age and cohort effects already known, and hence its projections may offer some indication of public health relevance.
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Affiliation(s)
- E Negri
- Istituto di Ricerche Farmacologiche M. Negri, Milan, Italy
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55
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Balansky R, Ganchev G, Iltcheva M, Dimitrova E, Micale RT, La Maestra S, De Flora S. Carcinogenic response and other histopathological alterations in mice exposed to cigarette smoke for varying time periods after birth. Carcinogenesis 2018; 39:580-587. [PMID: 29370344 DOI: 10.1093/carcin/bgy013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 01/15/2018] [Indexed: 01/01/2023] Open
Abstract
In spite of the outstanding role of tobacco smoking in human carcinogenesis, it is difficult to reproduce its effects in experimental animals. Based on the knowledge that a variety of mechanisms account for a higher susceptibility to carcinogens early in life, we have developed a murine model in which mainstream cigarette smoke becomes convincingly carcinogenic. The standard model involves exposure to smoke for 4 months, starting after birth, followed by an additional 3-4 months in filtered air. We evaluated herein the time- and dose-dependent response, at 7.5 months of life, of Swiss H mice that had been exposed to smoke for either 1, 2 or 4 months after birth. A one-month exposure, corresponding to a period of intense alveolarization, was sufficient to induce most inflammatory, degenerative and preneoplastic pulmonary lesions, including emphysema and alveolar epithelial hyperplasia, blood vessel proliferation and hemangiomas, reflecting an early proangiogenic role of smoking, and microadenomas bearing ki-67-positive proliferating cells as well as urinary bladder epithelial hyperplasia. Two months of exposure were needed to induce pulmonary adenomas and urinary bladder papillomas in males only, which highlights a protective role of estrogens in urinary bladder carcinogenesis. Four months, which in humans would correspond to the postnatal period, puberty, adolescence and early adulthood, were needed to induce other lesions, including tubular epithelial hyperplasia of kidney, bronchial epithelial hyperplasia and especially pulmonary malignant tumors. These findings highlight the concept that preneoplastic and neoplastic lesions occurring in adulthood can be induced by exposure to smoke early in life.
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Affiliation(s)
| | | | | | | | - Rosanna T Micale
- Department of Health Sciences, University of Genoa, Genoa, Italy
- National Center of Oncology, Sofia, Bulgaria
| | - Sebastiano La Maestra
- Department of Health Sciences, University of Genoa, Genoa, Italy
- National Center of Oncology, Sofia, Bulgaria
| | - Silvio De Flora
- Department of Health Sciences, University of Genoa, Genoa, Italy
- National Center of Oncology, Sofia, Bulgaria
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56
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Moolgavkar SH, Chang ET, Watson HN, Lau EC. An Assessment of the Cox Proportional Hazards Regression Model for Epidemiologic Studies. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2018; 38:777-794. [PMID: 29168991 DOI: 10.1111/risa.12865] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 05/10/2017] [Accepted: 06/17/2017] [Indexed: 05/02/2023]
Abstract
The basic assumptions of the Cox proportional hazards regression model are rarely questioned. This study addresses whether hazard ratio, i.e., relative risk (RR), estimates using the Cox model are biased when these assumptions are violated. We investigated also the dependence of RR estimates on temporal exposure characteristics, and how inadequate control for a strong, time-dependent confounder affects RRs for a modest, correlated risk factor. In a realistic cohort of 500,000 adults constructed using the National Cancer Institute Smoking History Generator, we used the Cox model with increasing control of smoking to examine the impact on RRs for smoking and a correlated covariate X. The smoking-associated RR was strongly modified by age. Pack-years of smoking did not sufficiently control for its effects; simultaneous control for effect modification by age and time-dependent cumulative exposure, exposure duration, and time since cessation improved model fit. Even then, residual confounding was evident in RR estimates for covariate X, for which spurious RRs ranged from 0.980 to 1.017 per unit increase. Use of the Cox model to control for a time-dependent strong risk factor yields unreliable RR estimates unless detailed, time-varying information is incorporated in analyses. Notwithstanding, residual confounding may bias estimated RRs for a modest risk factor.
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Affiliation(s)
- Suresh H Moolgavkar
- Center for Health Sciences, Exponent, Inc., Bellevue, WA, and Menlo Park, CA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ellen T Chang
- Center for Health Sciences, Exponent, Inc., Bellevue, WA, and Menlo Park, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Heather N Watson
- Statistical & Data Sciences Practice, Exponent, Inc., Menlo Park, CA, USA
| | - Edmund C Lau
- Center for Health Sciences, Exponent, Inc., Bellevue, WA, and Menlo Park, CA, USA
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57
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Abstract
A cohort of 5180 patients with head and neck cancer, who were part of the tumor registry of the Surveillance, Epidemiology, and End Results area of western Washington State, was followed up for as many as 15 years to determine the risk of lung cancer. A sample of 522 patients from this cohort was interviewed to determine smoking history. Lung cancer developed in 356 (6.9%) of the 5180 patients. The overall annual incidence of lung cancer remained relatively constant between approximately 1.0% and 2.0% during the 15 years of follow-up. Men had an increased risk of lung cancer compared with women (relative risk (RR) = 1.56; 95% confidence interval (CI) = 1.18 to 2.03). Compared with patients with oral cavity cancer (RR = 1.00), the relative risk of lung cancer developing by the site of the index tumor was 0.63 (95% CI = 0.40 to 0.98) for lip, 1.12 (95% CI = 0.81 to 1.56) for intrinsic larynx, 1.73 (95% CI = 1.21 to 2.47) for oropharynx, 1.84 (95% CI = 1.16 to 2.92) for hypopharynx, and 2.28 (95% CI = 1.60 to 3.24) for extrinsic larynx. Among the 522 patients who were interviewed, men smoked more than women (p < 0.0001), and patients with laryngeal or pharyngeal cancer smoked more than patients with cancer of the lip or the oral cavity (p > 0.05). Among patients with head and neck cancer, the risk of lung cancer is highest for men and for patients with cancer of the pharynx or extrinsic larynx. These findings may be explained by differences in smoking consumption.
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58
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Inoue-Choi M, Hartge P, Liao LM, Caporaso N, Freedman ND. Association between long-term low-intensity cigarette smoking and incidence of smoking-related cancer in the national institutes of health-AARP cohort. Int J Cancer 2018; 142:271-280. [PMID: 28929489 PMCID: PMC5748934 DOI: 10.1002/ijc.31059] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 08/14/2017] [Accepted: 09/07/2017] [Indexed: 11/08/2022]
Abstract
An increasing proportion of US smokers smoke ≤10 cigarettes per day (CPD) or do not smoke every day, yet the health effects of low-intensity smoking are poorly understood. We identified lifelong smokers of <1 or 1-10 CPD and evaluated risk of incident cancer among 238,525 cancer-free adults, aged 59-82, in the NIH-AARP Diet and Health Study. A questionnaire administered in 2004-2005 assessed CPD during nine age-periods (<15 to ≥70). We estimated hazard ratios (HR) and 95% confidence intervals (CI) using multivariable-adjusted Cox proportional hazards regression with age as the underlying time metric. Of the 18,233 current smokers, (7.6%), 137 and 1,243 reported consistently smoking <1 CPD and 1-10 CPD, respectively. Relative to never smokers, current smokers who reported consistently smoking 1-10 CPD over their lifetime were 2.34 (95% CI = 1.86-2.93) times more likely to develop smoking-related cancer. Current lifetime smokers of <1 CPD were 1.89 (95% CI = 0.90-3.96) times more likely to develop tobacco-related cancer, although the association did not reach statistical significance. Associations were observed for lifelong smoking of ≤10 CPD with lung cancer (HR = 9.65, 95% CI = 6.93-13.43); bladder cancer (HR = 2.22, 95% CI = 1.22-4.05); and pancreatic cancer (HR = 2.03, 95%CI: 1.05-3.95). Among lifelong ≤10 CPD smokers, former smokers had lower risks of smoking-related cancer with longer time since cessation and longer smoking duration. Lifelong <1 and 1-10 CPD smokers are at increased risk of incident cancer relative to never smokers and would benefit from cessation, providing further evidence that even low-levels of cigarette smoking cause cancer.
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Affiliation(s)
- Maki Inoue-Choi
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Linda M. Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neal D. Freedman
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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59
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Bhatt SP, Kim YI, Harrington KF, Hokanson JE, Lutz SM, Cho MH, DeMeo DL, Wells JM, Make BJ, Rennard SI, Washko GR, Foreman MG, Tashkin DP, Wise RA, Dransfield MT, Bailey WC. Smoking duration alone provides stronger risk estimates of chronic obstructive pulmonary disease than pack-years. Thorax 2018; 73:414-421. [PMID: 29326298 DOI: 10.1136/thoraxjnl-2017-210722] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 11/03/2017] [Accepted: 11/27/2017] [Indexed: 01/29/2023]
Abstract
BACKGROUND Cigarette smoking is the strongest risk factor for COPD. Smoking burden is frequently measured in pack-years, but the relative contribution of cigarettes smoked per day versus duration towards the development of structural lung disease, airflow obstruction and functional outcomes is not known. METHODS We analysed cross-sectional data from a large multicentre cohort (COPDGene) of current and former smokers. Primary outcome was airflow obstruction (FEV1/FVC); secondary outcomes included five additional measures of disease: FEV1, CT emphysema, CT gas trapping, functional capacity (6 min walk distance, 6MWD) and respiratory morbidity (St George's Respiratory Questionnaire, SGRQ). Generalised linear models were estimated to compare the relative contribution of each smoking variable with the outcomes, after adjustment for age, race, sex, body mass index, CT scanner, centre, age of smoking onset and current smoking status. We also estimated adjusted means of each outcome by categories of pack-years and combined groups of categorised smoking duration and cigarettes/day, and estimated linear trends of adjusted means for each outcome by categorised cigarettes/day, smoking duration and pack-years. RESULTS 10 187 subjects were included. For FEV1/FVC, standardised beta coefficient for smoking duration was greater than for cigarettes/day and pack-years (P<0.001). After categorisation, there was a linear increase in adjusted means FEV1/FVC with increase in pack-years (regression coefficient β=-0.023±SE0.003; P=0.003) and duration over all ranges of smoking cigarettes/day (β=-0.041±0.004; P<0.001) but a relatively flat slope for cigarettes/day across all ranges of smoking duration (β=-0.009±0.0.009; P=0.34). Strength of association of duration was similarly greater than pack-years for emphysema, gas trapping, FEV1, 6MWD and SGRQ. CONCLUSION Smoking duration alone provides stronger risk estimates of COPD than the composite index of pack-years. TRIAL REGISTRATION NUMBER Post-results; NCT00608764.
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Affiliation(s)
- Surya P Bhatt
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Young-Il Kim
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kathy F Harrington
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - John E Hokanson
- Department of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA
| | - Sharon M Lutz
- Department of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - James M Wells
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Barry J Make
- Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, Colorado, USA
| | - Stephen I Rennard
- Division of Pulmonary and Critical Care Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA.,Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.,Pulmonary and Critical Care Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Marilyn G Foreman
- Division of Pulmonary and Critical Care Medicine, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Donald P Tashkin
- Division of Pulmonary and Critical Care Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Robert A Wise
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Mark T Dransfield
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Pulmonary and Critical Care Medicine, Birmingham VA Medical Center, Birmingham, Alabama, USA
| | - William C Bailey
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.,UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
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60
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López Castedo A, Perdiz Álvarez C, Sueiro Domínguez E. Consumo de tabaco. REVISTA DE ESTUDIOS E INVESTIGACIÓN EN PSICOLOGÍA Y EDUCACIÓN 2017. [DOI: 10.17979/reipe.2017.0.14.2931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Nuestro objetivo es conocer los hábitos tabáquicos en la estapa adolescente. Se trata de un estudio descriptivo y transversal sobre una muestra de 1.128 sujetos a quien se le aplicó una encuesta estructurada para conocer sus conductas relacionadas con el consumo de tabaco. El análisis estadístico se realiza con el SPSS.20 para Windows. Los resultados más relevantes señalan que el 31% fuma diariamente, el 53.8% comenzó entre los 13 y 15 años, el 50.4% consume entre 1 y 5 cigarrillos/día, haciéndolo en el 28,2% en compañía de otras personas. Señalamos la necesidad de hacer educación para la salud.
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61
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Incidence of cancer in outpatients with chronic obstructive pulmonary disease. Rev Clin Esp 2017. [DOI: 10.1016/j.rceng.2017.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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62
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Incidencia de cáncer en pacientes ambulatorios con enfermedad pulmonar obstructiva crónica. Rev Clin Esp 2017; 217:387-393. [DOI: 10.1016/j.rce.2017.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 06/09/2017] [Accepted: 06/14/2017] [Indexed: 11/20/2022]
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63
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Krosnick JA, Malhotra N, Mo CH, Bruera EF, Chang L, Pasek J, Thomas RK. Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding. PLoS One 2017; 12:e0182063. [PMID: 28806420 PMCID: PMC5555635 DOI: 10.1371/journal.pone.0182063] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 06/20/2017] [Indexed: 11/18/2022] Open
Abstract
Most Americans recognize that smoking causes serious diseases, yet many Americans continue to smoke. One possible explanation for this paradox is that perhaps Americans do not accurately perceive the extent to which smoking increases the probability of adverse health outcomes. This paper examines the accuracy of Americans' perceptions of the absolute risk, attributable risk, and relative risk of lung cancer, and assesses which of these beliefs drive Americans' smoking behavior. Using data from three national surveys, statistical analyses were performed by comparing means, medians, and distributions, and by employing Generalized Additive Models. Perceptions of relative risk were associated as expected with smoking onset and smoking cessation, whereas perceptions of absolute risk and attributable risk were not. Additionally, the relation of relative risk with smoking status was stronger among people who held their risk perceptions with more certainty. Most current smokers, former smokers, and never-smokers considerably underestimated the relative risk of smoking. If, as this paper suggests, people naturally think about the health consequences of smoking in terms of relative risk, smoking rates might be reduced if public understanding of the relative risks of smoking were more accurate and people held those beliefs with more confidence.
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Affiliation(s)
- Jon A. Krosnick
- Department of Communication, Stanford University, Stanford, California, United States of America
| | - Neil Malhotra
- Graduate School of Business, Stanford University, Stanford, California, United States of America
| | - Cecilia Hyunjung Mo
- Department of Political Science, Vanderbilt University, Nashville, Tennessee, United States of America
- Hoover Institution, Stanford University, Stanford, California, United States of America
| | - Eduardo F. Bruera
- U.S. Department of Treasury, Washington, D.C., United States of America
| | - LinChiat Chang
- LinChiat Chang Consulting, LLC, San Francisco, California, United States of America
| | - Josh Pasek
- Department of Communication Studies, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Randall K. Thomas
- GfK Custom Research North America, New York City, New York, United States of America
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64
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Chang ET, Liu Z, Hildesheim A, Liu Q, Cai Y, Zhang Z, Chen G, Xie SH, Cao SM, Shao JY, Jia WH, Zheng Y, Liao J, Chen Y, Lin L, Ernberg I, Vaughan TL, Adami HO, Huang G, Zeng Y, Zeng YX, Ye W. Active and Passive Smoking and Risk of Nasopharyngeal Carcinoma: A Population-Based Case-Control Study in Southern China. Am J Epidemiol 2017; 185:1272-1280. [PMID: 28459936 DOI: 10.1093/aje/kwx018] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 05/05/2016] [Indexed: 12/24/2022] Open
Abstract
The magnitude and patterns of associations between smoking and risk of nasopharyngeal carcinoma (NPC) in high-incidence regions remain uncertain. Associations with active and passive tobacco smoking were estimated using multivariate logistic regression in a population-based case-control study of 2,530 NPC cases and 2,595 controls in Guangdong and Guangxi, southern China, in 2010-2014. Among men, risk of NPC was significantly higher in current smokers compared with never smokers (odds ratio (OR) = 1.32, 95% confidence interval (CI): 1.14, 1.53) but not in former smokers (OR = 0.92, 95% CI: 0.73, 1.17). Risk increased with smoking intensity (per 10 cigarettes/day, OR = 1.09, 95% CI: 1.03, 1.16), smoking duration (per 10 years, OR = 1.11, 95% CI: 1.06, 1.16), and cumulative smoking (per 10 pack-years, OR = 1.08, 95% CI: 1.04, 1.12). Risk decreased with later age at smoking initiation (per year, OR = 0.97, 95% CI: 0.96, 0.98) but not greater time since smoking cessation. Exposures to passive smoking during childhood (OR = 1.24, 95% CI: 1.03, 1.48) and from a spouse during adulthood (OR = 1.30, 95% CI: 1.03, 1.63) were independently associated with increased NPC risk in never-smoking men and women, but exposure-response trends were not observed. In conclusion, active and passive tobacco smoking are associated with modestly increased risk of NPC in southern China; risk is highest among long-term smokers.
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Affiliation(s)
- Ellen T Chang
- Division of Epidemiology, Department of Health Research and Policy, School of Medicine, Stanford University, Stanford, California
- Center for Health Sciences, Exponent, Inc., Menlo Park, California
| | - Zhiwei Liu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Allan Hildesheim
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Qing Liu
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yonglin Cai
- Clinical Laboratory, Wuzhou Red Cross Hospital, Wuzhou, China
- Wuzhou Health System Key Laboratory for Nasopharyngeal Carcinoma Etiology and Molecular Mechanism, Wuzhou, China
| | - Zhe Zhang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Guangxi Medical University, Ministry of Education, Nanning, China
| | - Guomin Chen
- State Key Laboratory for Infectious Diseases Prevention and Control, Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shang-Hang Xie
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Su-Mei Cao
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jian-Yong Shao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yuming Zheng
- Clinical Laboratory, Wuzhou Red Cross Hospital, Wuzhou, China
- Wuzhou Health System Key Laboratory for Nasopharyngeal Carcinoma Etiology and Molecular Mechanism, Wuzhou, China
| | - Jian Liao
- Cangwu Institute for Nasopharyngeal Carcinoma Control and Prevention, Wuzhou, China
| | - Yufeng Chen
- Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Guangxi Medical University, Ministry of Education, Nanning, China
| | - Longde Lin
- Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Guangxi Medical University, Ministry of Education, Nanning, China
| | - Ingemar Ernberg
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Thomas L Vaughan
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Guangwu Huang
- Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Guangxi Medical University, Ministry of Education, Nanning, China
| | - Yi Zeng
- State Key Laboratory for Infectious Diseases Prevention and Control, Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi-Xin Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
- Beijing Hospital, Beijing, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Inoue-Choi M, Liao LM, Reyes-Guzman C, Hartge P, Caporaso N, Freedman ND. Association of Long-term, Low-Intensity Smoking With All-Cause and Cause-Specific Mortality in the National Institutes of Health-AARP Diet and Health Study. JAMA Intern Med 2017; 177:87-95. [PMID: 27918784 PMCID: PMC5555224 DOI: 10.1001/jamainternmed.2016.7511] [Citation(s) in RCA: 151] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE A growing proportion of US smokers now smoke fewer than 10 cigarettes per day (CPD), and that proportion will likely rise in the future. The health effects of smoking only a few CPD over one's lifetime are less understood than are the effects of heavier smoking, although many smokers believe that their level is modest. OBJECTIVE To evaluate the associations of long-term smoking of fewer than 1 or 1 to 10 CPD (low intensity) with all-cause and cause-specific mortality compared with never smoking cigarettes. DESIGN, SETTING, AND PARTICIPANTS Prospective cohort study of 290 215 adults in the National Institutes of Health-AARP (formerly known as the American Association of Retired Persons) Diet and Health Study who were aged 59 to 82 years in calendar years 2004-2005 (baseline). Data were gathered with a questionnaire assessing lifetime cigarette smoking history. Hazard ratios (HRs) and 95% CIs were determined for all-cause mortality and cause-specific mortality through the end of 2011. Hazard ratios and 95% CIs were estimated using Cox proportional hazards regression models using age as the underlying time metric and adjusted for sex, race/ethnicity, educational level, physical activity, and alcohol intake. Data analysis was conducted from December 15, 2015, to September 30, 2016. EXPOSURES Current and historical smoking intensity during 9 previous age periods (from <15 years to ≥70 years) over the lifetime assessed on the 2004-2005 questionnaire. MAIN OUTCOMES AND MEASURES All-cause and cause-specific mortality among current, former, and never smokers. RESULTS Of the 290 215 cohort participants who completed the 2004-2005 questionnaire, 168 140 were men (57.9%); the mean (SD) age was 71 (5.3) years (range, 59-82 years). Most people who smoked fewer than 1 or 1 to 10 CPD at baseline reported smoking substantially higher numbers of CPD earlier in their lives. Nevertheless, 159 (9.1%) and 1493 (22.5%) of these individuals reported consistently smoking fewer than 1 or 1 to 10 CPD in each age period that they smoked, respectively. Relative to never smokers, consistent smokers of fewer than 1 CPD (HR, 1.64; 95% CI, 1.07-2.51) and 1 to 10 CPD (HR, 1.87; 95% CI, 1.64-2.13) had a higher all-cause mortality risk. Associations were similar in women and men for all-cause mortality and were observed across a range of smoking-related causes of death, with an especially strong association with lung cancer (HR, 9.12; 95% CI, 2.92-28.47, and HR, 11.61; 95% CI, 8.25-16.35 for <1 and 1-10 CPD, respectively). Former smokers who had consistently smoked fewer than 1 or 1 to 10 CPD had progressively lower risks with younger age at cessation. For example, the HRs for consistent smokers of fewer than 1 and 1 to 10 CPD who quit at 50 years or older were 1.44 (95% CI, 1.12-1.85) and 1.42 (95% CI, 1.27-1.59), respectively. CONCLUSIONS AND RELEVANCE This study provides evidence that individuals who smoke fewer than 1 or 1 to 10 CPD over their lifetime have higher mortality risks than never smokers and would benefit from cessation. These results provide further evidence that there is no risk-free level of exposure to tobacco smoke.
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Affiliation(s)
- Maki Inoue-Choi
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Linda M Liao
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Carolyn Reyes-Guzman
- Office of Science, Center for Tobacco Products, US Food and Drug Administration, Silver Spring, Maryland
| | - Patricia Hartge
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Neil Caporaso
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Neal D Freedman
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
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Holford TR, Levy DT, Meza R. Comparison of Smoking History Patterns Among African American and White Cohorts in the United States Born 1890 to 1990. Nicotine Tob Res 2016; 18 Suppl 1:S16-29. [PMID: 26980861 DOI: 10.1093/ntr/ntv274] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Characterizing smoking history patterns summarizes life course exposure for birth cohorts, essential for evaluating the impact of tobacco control on health. Limited attention has been given to patterns among African Americans. METHODS Life course smoking histories of African Americans and whites were estimated beginning with the 1890 birth cohort. Estimates of smoking initiation and cessation probabilities, and intensity can be used as a baseline for studying smoking intervention strategies that target smoking exposure. US National Health Interview Surveys conducted from 1965 to 2012 yielded cross-sectional information on current smoking behavior among African Americans and whites. Additional detail for smokers including age at initiation, age at cessation and smoking intensity were available in some surveys and these were used to construct smoking histories for participants up to the date that they were interviewed. Age-period-cohort models with constrained natural splines provided estimates of current, former and never-smoker prevalence in cohorts beginning in 1890. RESULTS This approach yielded yearly estimates of initiation, cessation and smoking intensity by age for each birth cohort. Smoking initiation probabilities tend to be lower among African Americans compared to whites, and cessation probabilities also were generally lower. Higher initiation leads to higher smoking prevalence among whites in younger ages, but lower cessation leads to higher prevalence at older ages in blacks, when adverse health effects of smoking become most apparent. CONCLUSIONS These estimates provide a summary that can be used to better understand the effects of changes in smoking behavior following publication of the Surgeon General's Report in 1964. IMPLICATIONS A novel method of estimating smoking histories was applied to data from the National Health Interview Surveys, which provided an extensive summary of the smoking history in this population following publication of the Surgeon General's Report in 1964. The results suggest that some of the existing disparities in smoking-related disease may be due to the lower cessation rates in African Americans compared to whites. However, the number of cigarettes smoked is also lower among African Americans. Further work is needed to determine mechanisms by which smoking duration and intensity can account for racial disparities in smoking-related diseases.
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Affiliation(s)
- Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT;
| | - David T Levy
- Cancer Control, Department of Oncology, Georgetown University, Washington, DC
| | - Rafael Meza
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
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Effect of Genetic Polymorphisms and Long-Term Tobacco Exposure on the Risk of Breast Cancer. Int J Mol Sci 2016; 17:ijms17101726. [PMID: 27754415 PMCID: PMC5085757 DOI: 10.3390/ijms17101726] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 09/16/2016] [Accepted: 09/28/2016] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Tobacco smoke contains many potentially harmful compounds that may act differently and at different stages in breast cancer development. The focus of this work was to assess the possible role of cigarette smoking (status, dose, duration or age at initiation) and polymorphisms in genes coding for enzymes involved in tobacco carcinogen metabolism (CYP1A1, CYP2A6) or in DNA repair (XRCC1, APEX1, XRCC3 and XPD) in breast cancer development. METHODS We designed a case control study with 297 patients, 217 histologically verified breast cancers (141 smokers and 76 non-smokers) and 80 healthy smokers in a cohort of Spanish women. RESULTS We found an association between smoking status and early age at diagnosis of breast cancer. Among smokers, invasive carcinoma subtype incidence increased with intensity and duration of smoking (all Ptrend < 0.05). When smokers were stratified by smoking duration, we only observed differences in long-term smokers, and the CYP1A1 Ile462Ile genotype was associated with increased risk of breast cancer (OR = 7.12 (1.98-25.59)). CONCLUSIONS Our results support the main effect of CYP1A1 in estrogenic metabolism rather than in tobacco carcinogen activation in breast cancer patients and also confirmed the hypothesis that CYP1A1 Ile462Val, in association with long periods of active smoking, could be a breast cancer risk factor.
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Barreiro E, Bustamante V, Curull V, Gea J, López-Campos JL, Muñoz X. Relationships between chronic obstructive pulmonary disease and lung cancer: biological insights. J Thorac Dis 2016; 8:E1122-E1135. [PMID: 27867578 DOI: 10.21037/jtd.2016.09.54] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Lung cancer (LC) has become one of the leading causes of preventable death in the last few decades. Cigarette smoking (CS) stays as the main etiologic factor of LC despite that many other causes such as occupational exposures, air pollution, asbestos, or radiation have also been implicated. Patients with chronic obstructive pulmonary disease (COPD), which also represents a major cause of morbidity and mortality in developed countries, exhibit a significantly greater risk of LC. The study of the underlying biological mechanisms that may predispose patients with chronic respiratory diseases to a higher incidence of LC has also gained much attention in the last few years. The present review has been divided into three major sections in which different aspects have been addressed: (I) relevant etiologic agents of LC; (II) studies confirming the hypothesis that COPD patients are exposed to a greater risk of developing LC; and (III) evidence on the most relevant underlying biological mechanisms that support the links between COPD and LC. Several carcinogenic agents have been described in the last decades but CS remains to be the leading etiologic agent in most geographical regions in which the incidence of LC is very high. Growing evidence has put the line forward the implications of COPD and especially of emphysema in LC development. Hence, COPD represents a major risk factor of LC in patients. Different avenues of research have demonstrated the presence of relevant biological mechanisms that may predispose COPD patients to develop LC. Importantly, the so far identified biological mechanisms offer targets for the design of specific therapeutic strategies that will further the current treatment options for patients with LC. Prospective screening studies, in which patients with COPD should be followed up for several years will help identify biomarkers that may predict the risk of LC among these patients.
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Affiliation(s)
- Esther Barreiro
- Pulmonology Department-Lung Cancer and Muscle Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Health and Experimental Sciences Department (CEXS), Pompeu Fabra University (UPF), Barcelona Autonomous University (UAB), Barcelona Biomedical Research Park (PRBB), Barcelona, Spain; ; Network of Excellence in Lung Diseases (CIBERES), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Víctor Bustamante
- Pneumology Department, Basurto University Hospital, Osakidetza, Department of Medicine, EHU-University of the Basque Country, Bilbao, Bizkaia, Spain
| | - Víctor Curull
- Pulmonology Department-Lung Cancer and Muscle Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Health and Experimental Sciences Department (CEXS), Pompeu Fabra University (UPF), Barcelona Autonomous University (UAB), Barcelona Biomedical Research Park (PRBB), Barcelona, Spain; ; Network of Excellence in Lung Diseases (CIBERES), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Joaquim Gea
- Pulmonology Department-Lung Cancer and Muscle Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Health and Experimental Sciences Department (CEXS), Pompeu Fabra University (UPF), Barcelona Autonomous University (UAB), Barcelona Biomedical Research Park (PRBB), Barcelona, Spain; ; Network of Excellence in Lung Diseases (CIBERES), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - José Luis López-Campos
- Network of Excellence in Lung Diseases (CIBERES), Carlos III Health Institute (ISCIII), Madrid, Spain; ; Medical-Surgery Unit of Respiratory Disease, Sevilla Biomedicine Institute (IBIS), Virgen del Rocío University Hospital, University of Seville, Seville, Spain
| | - Xavier Muñoz
- Network of Excellence in Lung Diseases (CIBERES), Carlos III Health Institute (ISCIII), Madrid, Spain; ; Pulmonology Service, Medicine Department, Vall d'Hebron University Hospital, Barcelona Autonomous University (UAB), Barcelona, Spain
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Zhuang YL, Cummins SE, Sun JY, Zhu SH. Long-term e-cigarette use and smoking cessation: a longitudinal study with US population. Tob Control 2016; 25:i90-i95. [PMID: 27697953 PMCID: PMC5099206 DOI: 10.1136/tobaccocontrol-2016-053096] [Citation(s) in RCA: 119] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Accepted: 07/03/2016] [Indexed: 11/03/2022]
Abstract
BACKGROUND E-cigarettes have grown popular. The most common pattern is dual use with conventional cigarettes. Dual use has raised concerns that it might delay quitting of cigarette smoking. This study examined the relationship between long-term use of e-cigarettes and smoking cessation in a 2-year period. METHODS A nationally representative sample of 2028 US smokers were surveyed in 2012 and 2014. Long-term e-cigarette use was defined as using e-cigarettes at baseline and follow-up. Use of e-cigarettes only at baseline or at follow-up was defined as short-term use. Non-users did not use e-cigarettes at either survey. Quit attempt rates and cessation rates (abstinent for 3 months or longer) were compared across the three groups. RESULTS At 2-year follow-up, 43.7% of baseline dual users were still using e-cigarettes. Long-term e-cigarette users had a higher quit attempt rate than short-term or non-users (72.6% vs 53.8% and 45.5%, respectively), and a higher cessation rate (42.4% vs 14.2% and 15.6%, respectively). The difference in cessation rate between long-term users and non-users remained significant after adjusting for baseline variables, OR=4.1 (95% CI 1.5 to 11.4) as did the difference between long-term users and short-term users, OR=4.8 (95% CI 1.6 to 13.9). The difference in cessation rate between short-term users and non-users was not significant, OR=0.9 (95% CI 0.5 to 1.4). Among those making a quit attempt, use of e-cigarettes as a cessation aid surpassed that of FDA-approved pharmacotherapy. CONCLUSIONS Short-term e-cigarette use was not associated with a lower rate of smoking cessation. Long-term use of e-cigarettes was associated with a higher rate of quitting smoking.
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Affiliation(s)
- Yue-Lin Zhuang
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Sharon E Cummins
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Jessica Y Sun
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Shu-Hong Zhu
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
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Zanetti KA, Wang Z, Aldrich M, Amos CI, Blot WJ, Bowman ED, Burdette L, Cai Q, Caporaso N, Chung CC, Gillanders EM, Haiman CA, Hansen HM, Henderson BE, Kolonel LN, Marchand LL, Li S, McNeill LH, Ryan BM, Schwartz AG, Sison JD, Spitz MR, Tucker M, Wenzlaff AS, Wiencke JK, Wilkens L, Wrensch MR, Wu X, Zheng W, Zhou W, Christiani D, Palmer JR, Penning TM, Rieber AG, Rosenberg L, Ruiz-Narvaez EA, Su L, Vachani A, Wei Y, Whitehead AS, Chanock SJ, Harris CC. Genome-wide association study confirms lung cancer susceptibility loci on chromosomes 5p15 and 15q25 in an African-American population. Lung Cancer 2016; 98:33-42. [PMID: 27393504 PMCID: PMC4939239 DOI: 10.1016/j.lungcan.2016.05.008] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 05/10/2016] [Accepted: 05/12/2016] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Genome-wide association studies (GWAS) of lung cancer have identified regions of common genetic variation with lung cancer risk in Europeans who smoke and never-smoking Asian women. This study aimed to conduct a GWAS in African Americans, who have higher rates of lung cancer despite smoking fewer cigarettes per day when compared with Caucasians. This population provides a different genetic architecture based on underlying African ancestry allowing the identification of new regions and exploration of known regions for finer mapping. MATERIALS AND METHODS We genotyped 1,024,001 SNPs in 1737 cases and 3602 controls in stage 1, followed by a replication phase of 20 SNPs (p<1.51×10(-5)) in an independent set of 866 cases and 796 controls in stage 2. RESULTS AND CONCLUSION In the combined analysis, we confirmed two loci to be associated with lung cancer that achieved the threshold of genome-wide significance: 15q25.1 marked by rs2036527 (p=1.3×10(-9); OR=1.32; 95% CI=1.20-1.44) near CHRNA5, and 5p15.33 marked by rs2853677 (p=2.8×10(-9); OR=1.28; 95% CI=1.18-1.39) near TERT. The association with rs2853677 is driven by the adenocarcinoma subtype of lung cancer (p=1.3×10(-8); OR=1.37; 95% CI=1.23-1.54). No SNPs reached genome-wide significance for either of the main effect models examining smoking - cigarettes per day and current or former smoker. Our study was powered to identify strong risk loci for lung cancer in African Americans; we confirmed results previously reported in African Americans and other populations for two loci near plausible candidate genes, CHRNA5 and TERT, on 15q25.1 and 5p15.33 respectively, are associated with lung cancer. Additional work is required to map and understand the biological underpinnings of the strong association of these loci with lung cancer risk in African Americans.
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Affiliation(s)
- Krista A Zanetti
- Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Melinda Aldrich
- Division of Epidemiology, Vanderbilt University Medical Center, 1161 21st Avenue South, D-3100 Medical Center North, Nashville, TN 37232, USA; Department of Thoracic Surgery, Vanderbilt University Medical Center, 609 Oxford House, 1313 21st Ave South, Nashville, TN 37232-4682, USA.
| | - Christopher I Amos
- Department of Biomedical Data Science, Geisel School of Medicine, 1 Rope Ferry Road, Dartmouth, Lebanon, NH 03755-1404, USA.
| | - William J Blot
- Division of Epidemiology, Vanderbilt University Medical Center, 1161 21st Avenue South, D-3100 Medical Center North, Nashville, TN 37232, USA.
| | - Elise D Bowman
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Building 37, Room 3068A, Bethesda, MD 20892, USA.
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Qiuyin Cai
- Division of Epidemiology, Vanderbilt University Medical Center, 1161 21st Avenue South, D-3100 Medical Center North, Nashville, TN 37232, USA.
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Elizabeth M Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California and Norris Comprehensive Cancer Center, 1975 Zonal Avenue, Los Angeles, CA 90033, USA.
| | - Helen M Hansen
- Department of Neurological Surgery, University of California, 505 Parnassus Ave., Room 779 M, San Francisco, San Francisco, CA 94143-00112, USA.
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California and Norris Comprehensive Cancer Center, 1975 Zonal Avenue, Los Angeles, CA 90033, USA
| | - Laurence N Kolonel
- Epidemiology Program, Cancer Research Center, University of Hawaii, 701 Ilalo Street, Honolulu, HI 96813, USA.
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, 701 Ilalo Street, Honolulu, HI 96813, USA.
| | - Shengchao Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Lorna Haughton McNeill
- Department of Health Disparities Research, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 91, Houston, TX 77030, USA.
| | - Bríd M Ryan
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Building 37, Room 3068A, Bethesda, MD 20892, USA.
| | - Ann G Schwartz
- Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, 4100 John R, Detroit, MI 48201, USA.
| | - Jennette D Sison
- Department of Neurological Surgery, University of California, 505 Parnassus Ave., Room 779 M, San Francisco, San Francisco, CA 94143-00112, USA.
| | - Margaret R Spitz
- Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Mail Stop BCM225, Houston, TX 77030, USA.
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Angela S Wenzlaff
- Department of Oncology, Karmanos Cancer Institute, Wayne State University School of Medicine, 4100 John R, Detroit, MI 48201, USA.
| | - John K Wiencke
- Department of Neurological Surgery, University of California, 505 Parnassus Ave., Room 779 M, San Francisco, San Francisco, CA 94143-00112, USA.
| | - Lynne Wilkens
- Epidemiology Program, Cancer Research Center, University of Hawaii, 701 Ilalo Street, Honolulu, HI 96813, USA.
| | - Margaret R Wrensch
- Department of Neurological Surgery, University of California, 505 Parnassus Ave., Room 779 M, San Francisco, San Francisco, CA 94143-00112, USA.
| | - Xifeng Wu
- Department of Epidemiology, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Unit 1340, PO Box 301439, Houston, TX 77230-1439, USA.
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University Medical Center, 1161 21st Avenue South, D-3100 Medical Center North, Nashville, TN 37232, USA.
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - David Christiani
- Harvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
| | - Julie R Palmer
- Slone Epidemiology Cancer Center at Boston University, 1010 Commonwealth Avenue, 4th Floor, Boston, MA 02215, USA.
| | - Trevor M Penning
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia PA 19104, USA; Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia PA 19104, USA.
| | - Alyssa G Rieber
- Department of General Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
| | - Lynn Rosenberg
- Slone Epidemiology Cancer Center at Boston University, 1010 Commonwealth Avenue, 4th Floor, Boston, MA 02215, USA.
| | - Edward A Ruiz-Narvaez
- Slone Epidemiology Cancer Center at Boston University, 1010 Commonwealth Avenue, 4th Floor, Boston, MA 02215, USA.
| | - Li Su
- Harvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
| | - Anil Vachani
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia PA 19104, USA; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia, PA 19104, USA.
| | - Yongyue Wei
- Harvard School of Public Health, Massachusetts General Hospital/Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
| | - Alexander S Whitehead
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia PA 19104, USA; Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Mezzanine, Philadelphia PA 19104, USA.
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, USA.
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Building 37, Room 3068A, Bethesda, MD 20892, USA.
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Peterson LA, Bellile EL, Wolf GT, Virani S, Shuman AG, Taylor JMG, Rozek LS. Cigarette use, comorbidities, and prognosis in a prospective head and neck squamous cell carcinoma population. Head Neck 2016; 38:1810-1820. [PMID: 27432208 DOI: 10.1002/hed.24515] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 02/29/2016] [Accepted: 05/05/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND To better understand the associations between a history of tobacco use and survival outcomes, cigarette use was prospectively surveyed in 687 previously untreated patients with cancer of the oral cavity (n = 271), oropharynx (n = 257), larynx (n = 135), or hypopharynx (n = 24). METHODS Kaplan-Meier and Cox models explored the associations of tobacco use intensity (packs/day), duration (years of use), and timing before diagnosis with overall survival (OS), disease-specific survival (DSS), and recurrence-free survival (RFS). RESULTS Cigarette use duration, timing, and intensity were significant predictors for all outcomes in univariate analysis. Never smoking and pack-years were not significantly associated with outcomes after adjustment for prognostic factors, such as stage, comorbidities, and human papillomavirus (HPV) status, which were strongly associated with clinical outcomes. CONCLUSION The findings confirm the association between smoking history and survival and the importance of clinical variables in evaluating smoking as a prognostic factor. Timing, intensity, and duration of cigarette use should be considered with other prognostic factors when considering risk stratification for treatment planning. © 2016 Wiley Periodicals, Inc. Head Neck 38: 1810-1820, 2016.
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Affiliation(s)
- Lisa A Peterson
- Department of Otolaryngology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Emily L Bellile
- Center for Cancer Biostatistics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Gregory T Wolf
- Department of Otolaryngology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Shama Virani
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Andrew G Shuman
- Department of Otolaryngology, University of Michigan Medical School, Ann Arbor, Michigan
| | - Jeremy M G Taylor
- Center for Cancer Biostatistics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Laura S Rozek
- Department of Otolaryngology, University of Michigan Medical School, Ann Arbor, Michigan.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
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Sugimura H. Susceptibility to human cancer: From the perspective of a pathologist. Pathol Int 2016; 66:359-68. [PMID: 27216305 DOI: 10.1111/pin.12418] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2015] [Revised: 03/10/2016] [Accepted: 04/13/2016] [Indexed: 12/29/2022]
Abstract
The etiologies of human cancer can only be discerned when the genetic clustering of cancer occurs within a family or when cancer occurs endemically in a particular environment. The possible approaches to solving the nature/nurture problem, especially for human carcinogenesis, posit a fascinating challenge for pathologists. This perspective review presents some examples of how clues to human cancer etiologies and/or susceptibilities reside in the realm of pathology practice. These examples using various omics techniques including adductomics, which I would like to highlight in this article, show that the currently available concepts and methods in human pathology can open a path toward the brave new world of a post-genomic era of medicine for young pathologists, whether their original intention was toward the pursuit of diagnostic or investigative knowledge.
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Affiliation(s)
- Haruhiko Sugimura
- Department of Tumor Pathology, Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu, Japan
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Didkowska J, Wojciechowska U, Mańczuk M, Łobaszewski J. Lung cancer epidemiology: contemporary and future challenges worldwide. ANNALS OF TRANSLATIONAL MEDICINE 2016; 4:150. [PMID: 27195268 DOI: 10.21037/atm.2016.03.11] [Citation(s) in RCA: 240] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Over the last century, lung cancer from the rarest of diseases became the biggest cancer killer of men worldwide and in some parts of the world also of women (North America, East Asia, Northern Europe, Australia and New Zealand). In 2012 over 1.6 million of people died due to lung cancer. The cause-effect relationship between tobacco smoking and lung cancer occurrence has been proven in many studies, both ecological and clinical. In global perspective one can see the increasing tobacco consumption trend followed by ascending trends of lung cancer mortality, especially in developing countries. In some more developed countries, where the tobacco epidemics was on the rise since the beginning of the 20th century and peaked in its mid, in male population lung cancer incidence trend reversed or leveled off. Despite predicted further decline of incidence rates, the absolute number of deaths will continue to grow in these countries. In the remaining parts of the world the tobacco epidemics is still evolving what brings rapid increase of the number of new lung cancer cases and deaths. Number of lung cancer deaths worldwide is expected to grow up to 3 million until 2035. The figures will double both in men (from 1.1 million in 2012 to 2.1 million in 2035) and women (from 0.5 million in 2012 to 0.9 million in 2035) and the two-fold difference between sexes will persist. The most rapid increase is expected in Africa region (AFRO) and East Mediterranean region (EMRO). The increase of the absolute number of lung cancer deaths in more developed countries is caused mostly by population aging and in less developed countries predominantly by the evolving tobacco epidemic.
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Affiliation(s)
- Joanna Didkowska
- Department of Epidemiology, The Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, Warsaw, Poland
| | - Urszula Wojciechowska
- Department of Epidemiology, The Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, Warsaw, Poland
| | - Marta Mańczuk
- Department of Epidemiology, The Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, Warsaw, Poland
| | - Jakub Łobaszewski
- Department of Epidemiology, The Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology, Warsaw, Poland
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Bergman BP, Mackay DF, Morrison D, Pell JP. Smoking-related cancer in military veterans: retrospective cohort study of 57,000 veterans and 173,000 matched non-veterans. BMC Cancer 2016; 16:311. [PMID: 27178424 PMCID: PMC4868009 DOI: 10.1186/s12885-016-2347-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Accepted: 05/11/2016] [Indexed: 11/15/2022] Open
Abstract
Background Serving military personnel are more likely to smoke, and to smoke more heavily, than civilians. The aim of our study was to examine whether veterans have an increased risk of a range of smoking-related cancers compared with non-veterans, using a large, national cohort of veterans. Methods We conducted a retrospective cohort study of 57,000 veterans resident in Scotland and 173,000 age, sex and area of residence matched civilians. We used Cox proportional hazard models to compare the risk of any cancer, lung cancer and other smoking-related cancers overall, by sex and by birth cohort, adjusting for the potential confounding effect of socioeconomic deprivation. Results Over a mean of 29 years follow-up, 445 (0.79 %) veterans developed lung cancer compared with 1106 (0.64 %) non-veterans (adjusted hazard ratio 1.16, 95 % confidence intervals 1.04–1.30, p = 0.008). Other smoking-related cancers occurred in 737 (1.31 %) veterans compared with 1883 (1.09 %) non-veterans (adjusted hazard ratio 1.18, 95 % confidence intervals 1.08–1.29, p < 0.001). A significantly increased risk was observed among veterans born 1950–1954 for lung cancer and 1945–1954 for other smoking-related cancers. The risk of lung cancer was decreased among veterans born 1960 onwards. In comparison, there was no difference in the risk of any cancer overall (adjusted hazard ratio 0.98, 95 % confidence intervals 0.94–1.01, p = 0.171), whilst younger veterans were at reduced risk of any cancer (adjusted hazard ratio 0.88, 95 % confidence intervals 0.81–0.97, p = 0.006). Conclusions Military veterans living in Scotland who were born before 1955 are at increased risk of smoking-related cancer compared with non-veterans, but younger veterans are not. The differences may reflect changing patterns of smoking behaviour over time in military personnel which may, in turn, be linked to developments in military health promotion policy and a changing military operational environment, as well as to wider societal factors.
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Affiliation(s)
- Beverly P Bergman
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, UK.
| | - Daniel F Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, UK
| | - David Morrison
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, G12 8RZ, UK
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Samet JM. Epidemiology and the Tobacco Epidemic: How Research on Tobacco and Health Shaped Epidemiology. Am J Epidemiol 2016; 183:394-402. [PMID: 26867777 DOI: 10.1093/aje/kwv156] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 06/10/2015] [Indexed: 11/13/2022] Open
Abstract
In this article, I provide a perspective on the tobacco epidemic and epidemiology, describing the impact of the tobacco-caused disease epidemic on the field of epidemiology. Although there is an enormous body of epidemiologic evidence on the associations of smoking with health, little systematic attention has been given to how decades of research have affected epidemiology and its practice. I address the many advances that resulted from epidemiologic research on smoking and health, such as demonstration of the utility of observational designs and important parameters (the odds ratio and the population attributable risk), guidelines for causal inference, and systematic review approaches. I also cover unintended and adverse consequences for the field, including the strategy of doubt creation and the recruitment of epidemiologists by the tobacco industry to serve its mission. The paradigm of evidence-based action for addressing noncommunicable diseases began with the need to address the epidemic of tobacco-caused disease, an imperative for action documented by epidemiologic research.
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Gilham C, Rake C, Burdett G, Nicholson AG, Davison L, Franchini A, Carpenter J, Hodgson J, Darnton A, Peto J. Pleural mesothelioma and lung cancer risks in relation to occupational history and asbestos lung burden. Occup Environ Med 2015; 73:290-9. [PMID: 26715106 PMCID: PMC4853597 DOI: 10.1136/oemed-2015-103074] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Accepted: 11/11/2015] [Indexed: 11/03/2022]
Abstract
BACKGROUND We have conducted a population-based study of pleural mesothelioma patients with occupational histories and measured asbestos lung burdens in occupationally exposed workers and in the general population. The relationship between lung burden and risk, particularly at environmental exposure levels, will enable future mesothelioma rates in people born after 1965 who never installed asbestos to be predicted from their asbestos lung burdens. METHODS Following personal interview asbestos fibres longer than 5 µm were counted by transmission electron microscopy in lung samples obtained from 133 patients with mesothelioma and 262 patients with lung cancer. ORs for mesothelioma were converted to lifetime risks. RESULTS Lifetime mesothelioma risk is approximately 0.02% per 1000 amphibole fibres per gram of dry lung tissue over a more than 100-fold range, from 1 to 4 in the most heavily exposed building workers to less than 1 in 500 in most of the population. The asbestos fibres counted were amosite (75%), crocidolite (18%), other amphiboles (5%) and chrysotile (2%). CONCLUSIONS The approximate linearity of the dose-response together with lung burden measurements in younger people will provide reasonably reliable predictions of future mesothelioma rates in those born since 1965 whose risks cannot yet be seen in national rates. Burdens in those born more recently will indicate the continuing occupational and environmental hazards under current asbestos control regulations. Our results confirm the major contribution of amosite to UK mesothelioma incidence and the substantial contribution of non-occupational exposure, particularly in women.
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Affiliation(s)
- Clare Gilham
- London School of Hygiene and Tropical Medicine, London, UK
| | - Christine Rake
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Andrew G Nicholson
- Department of Histopathology, Royal Brompton and Harefield Hospitals NHS Foundation Trust, and National Heart and Lung Institute, Imperial College, London, UK
| | - Leslie Davison
- Department of Cellular Pathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - James Carpenter
- London School of Hygiene and Tropical Medicine, London, UK Medical Research Council Clinical Trials Unit, Kingsway, London, UK
| | | | | | - Julian Peto
- London School of Hygiene and Tropical Medicine, London, UK
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77
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Electronic cigarette use in France in 2014. Int J Public Health 2015; 61:159-65. [DOI: 10.1007/s00038-015-0773-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 11/20/2015] [Accepted: 11/26/2015] [Indexed: 10/22/2022] Open
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79
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Using the Negative Exponential Model to Describe Changes in Risk of Smoking-Related Diseases following Changes in Exposure to Tobacco. ACTA ACUST UNITED AC 2015. [DOI: 10.1155/2015/487876] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Recently published analyses for four smoking-related diseases show that the declining excess relative risk by time quit is well fitted by the negative exponential model. These analyses estimated the half-life of this excess, that is, the time after quitting when the excess relative risk reaches half that for continuing smokers. We describe extensions of the simple model. One quantifies the decline following an exposure reduction. We show that this extension satisfactorily predicts results from studies investigating the effect of reducing cigarette consumption. It may also be relevant to exposure reductions following product-switching. Another extension predicts changes in excess relative risk occurring following multiple exposure changes over time. Suitable published epidemiological data are unavailable to test this, and we recommend its validity to be investigated using large studies with data recorded on smoking habits at multiple time points in life. The basic formulae described assume that the excess relative risk for a continuing smoker is linearly related to exposure and that the half-life is invariant of age. We describe model adaptations to allow for nonlinear dose-response and for age-dependence of the half-life. The negative exponential model, though relatively simple, appears to have many potential uses in epidemiological research for summarizing variations in risk with exposure changes.
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80
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Barcellos-Hoff MH, Blakely EA, Burma S, Fornace AJ, Gerson S, Hlatky L, Kirsch DG, Luderer U, Shay J, Wang Y, Weil MM. Concepts and challenges in cancer risk prediction for the space radiation environment. LIFE SCIENCES IN SPACE RESEARCH 2015; 6:92-103. [PMID: 26256633 DOI: 10.1016/j.lssr.2015.07.006] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2015] [Revised: 07/08/2015] [Accepted: 07/09/2015] [Indexed: 06/04/2023]
Abstract
Cancer is an important long-term risk for astronauts exposed to protons and high-energy charged particles during travel and residence on asteroids, the moon, and other planets. NASA's Biomedical Critical Path Roadmap defines the carcinogenic risks of radiation exposure as one of four type I risks. A type I risk represents a demonstrated, serious problem with no countermeasure concepts, and may be a potential "show-stopper" for long duration spaceflight. Estimating the carcinogenic risks for humans who will be exposed to heavy ions during deep space exploration has very large uncertainties at present. There are no human data that address risk from extended exposure to complex radiation fields. The overarching goal in this area to improve risk modeling is to provide biological insight and mechanistic analysis of radiation quality effects on carcinogenesis. Understanding mechanisms will provide routes to modeling and predicting risk and designing countermeasures. This white paper reviews broad issues related to experimental models and concepts in space radiation carcinogenesis as well as the current state of the field to place into context recent findings and concepts derived from the NASA Space Radiation Program.
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Affiliation(s)
| | | | - Sandeep Burma
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Lynn Hlatky
- Center of Cancer Systems Biology, Tufts University, Boston, MA, USA
| | | | | | - Jerry Shay
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ya Wang
- Emory University, Atlanta, GA, USA
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Bhaumik S, Arora M, Singh A, Sargent JD. Impact of entertainment media smoking on adolescent smoking behaviours. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2015. [DOI: 10.1002/14651858.cd011720] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
| | - Monika Arora
- Public Health Foundation of India; Health Promotion and Tobacco Control; PHD House, Second Floor, 4/2 Sirifort Institutional Area, August Kranti Marg New Delhi India 110 016
| | - Ankur Singh
- The University of Adelaide; Australian Research Centre for Population Oral Health, School of Dentistry; 122 Frome Street Cnr Pirie Street Adelaide South Australia Australia SA 5000
| | - James D Sargent
- Dartmouth Medical School; Pediatrics & Norris Cotton Cancer Center; One Medical Center Drive Lebanon New Hampshire USA
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Boffetta P, La Vecchia C, Moolgavkar S. Chronic Effects of Air Pollution are Probably Overestimated. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2015; 35:766-769. [PMID: 25676287 DOI: 10.1111/risa.12320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Inappropriate measures of exposure, including inadequate consideration of latency in the analysis of chronic effects of air pollution, may lead to overestimation of the impact of air pollution on health effects. A relatively simple way to check the plausibility of results on chronic effects of air pollution would be to report in parallel the smoking-associated risks.
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Affiliation(s)
- Paolo Boffetta
- Institute of Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Suresh Moolgavkar
- Exponent, Inc, Bellevue, WA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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Abstract
OBJECTIVE This study aims to forecast lung cancer mortality with respect to recent changes in smoking prevalence and compares the results to estimates from GLOBOCAN and the Global Burden of Disease study. SETTING An established epidemiological model is applied to detailed smoking prevalence data from South Africa to estimate lung cancer mortality from 2010 to 2025. PARTICIPANTS Data from the South Africa Demographic and Health Survey conducted in 2003 was analysed by sex and ethnic group, and combined with longitudinal estimates on smoking prevalence from 1980 to 2010. PRIMARY AND SECONDARY OUTCOME MEASURES Results provide detailed data on tobacco smoking behaviour by age, sex and ethnic group as well as modelled age-adjusted lung cancer mortality and number of yearly lung cancer deaths. RESULTS From 2010 to 2025, a decrease in age-adjusted lung cancer mortality is shown from 17.1 to 14.1 among men; whereas rates were stable around 7.2 among women. As a consequence, the estimated number of yearly lung cancer deaths is expected to increase slightly for men and more for women. With respect to ethnic groups, male mortality is expected to be highest for Asians and lowest for blacks. Female rates were lowest for Asians and highest for whites and for coloured. CONCLUSIONS Mortality estimates of this study are close to the WHO mortality database and to Global Burden of Disease estimates for 2010, but significantly lower compared with GLOBOCAN estimates. In conclusion, our study demonstrates the impact of demographic changes and the positive effects of antismoking policy on lung cancer mortality in South Africa. Results may help decision makers to further improve smoking control.
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Affiliation(s)
- Volker Winkler
- Institut für Public Health, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Nosimanana J Mangolo
- Institut für Public Health, Universitätsklinikum Heidelberg, Heidelberg, Germany
| | - Heiko Becher
- Institut für Public Health, Universitätsklinikum Heidelberg, Heidelberg, Germany
- Institut für Medizinische Biometrie und Epidemiologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
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Grimsrud TK, Sanner T. T. K. Grimsrud & T. Sanner svarer:. TIDSSKRIFT FOR DEN NORSKE LEGEFORENING 2015; 135:1223-4. [DOI: 10.4045/tidsskr.15.0740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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85
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[Haut Conseil de la Santé publique (HCSP). Guidance on the benefits and risks of the electronic cigarette or e-cigarette in the general population (25 April 2014)]. Rev Mal Respir 2014; 31:1013-20. [PMID: 25496794 DOI: 10.1016/j.rmr.2014.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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86
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Bui TV, Blizzard L, Luong KN, Truong NLV, Tran BQ, Ha ST, Phung HN, Otahal P, Velandai S, Nelson MR, Au TB, Tran MH, Huynh QL, Callisaya M, Gall S. Declining Prevalence of Tobacco Smoking in Vietnam. Nicotine Tob Res 2014; 17:831-8. [DOI: 10.1093/ntr/ntu202] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2014] [Accepted: 09/26/2014] [Indexed: 11/14/2022]
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87
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Somatic mutations, genome mosaicism, cancer and aging. Curr Opin Genet Dev 2014; 26:141-9. [PMID: 25282114 DOI: 10.1016/j.gde.2014.04.002] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Revised: 04/04/2014] [Accepted: 04/11/2014] [Indexed: 01/11/2023]
Abstract
Genomes are inherently unstable due to the need for DNA sequence variation in the germ line to fuel evolution through natural selection. In somatic tissues mutations accumulate during development and aging, generating genome mosaics. There is little information about the possible causal role of increased somatic mutation loads in late-life disease and aging, with the exception of cancer. Characterizing somatic mutations and their functional consequences in normal tissues remains a formidable challenge due to their low, individual abundance. Here, I will briefly review our current knowledge of somatic mutations in animals and humans in relation to aging, how they arise and lead to genome mosaicism, the technology to study somatic mutations and how they possibly could cause non-clonal disease.
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El-Zein RA, Lopez MS, D'Amelio AM, Liu M, Munden RF, Christiani D, Su L, Tejera-Alveraz P, Zhai R, Spitz MR, Etzel CJ. The cytokinesis-blocked micronucleus assay as a strong predictor of lung cancer: extension of a lung cancer risk prediction model. Cancer Epidemiol Biomarkers Prev 2014; 23:2462-70. [PMID: 25172871 DOI: 10.1158/1055-9965.epi-14-0462] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND There is an urgent need to improve lung cancer outcome by identifying and validating markers of risk. We previously reported that the cytokinesis-blocked micronucleus assay (CBMN) is a strong predictor of lung cancer risk. Here, we validate our findings in an independent external lung cancer population and test discriminatory power improvement of the Spitz risk prediction model upon extension with this biomarker. METHODS A total of 1,506 participants were stratified into a test set of 995 (527 cases/468 controls) from MD Anderson Cancer Center (Houston, TX) and a validation set of 511 (239 cases/272 controls) from Massachusetts General Hospital (Boston, MA). An epidemiologic questionnaire was administered and genetic instability was assessed using the CBMN assay. RESULTS Excellent concordance was observed between the two populations in levels and distribution of CBMN endpoints [binucleated-micronuclei (BN-MN), binucleated-nucleoplasmic bridges (BN-NPB)] with significantly higher mean BN-MN and BN-NPB values among cases (P < 0.0001). Extension of the Spitz model led to an overall improvement in the AUC (95% confidence intervals) from 0.61 (55.5-65.7) with epidemiologic variables to 0.92 (89.4-94.2) with addition of the BN-MN endpoint. The most dramatic improvement was observed with the never-smokers extended model followed by the former and current smokers. CONCLUSIONS The CBMN assay is a sensitive and specific predictor of lung cancer risk, and extension of the Spitz risk prediction model led to an AUC that may prove useful in population screening programs to identify the "true" high-risk individuals. IMPACT Identifying high-risk subgroups that would benefit from screening surveillance has immense public health significance.
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Affiliation(s)
- Randa A El-Zein
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Mirtha S Lopez
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anthony M D'Amelio
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mei Liu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas. CORRONA, Inc., Southborough, Massachusetts
| | - Reginald F Munden
- Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas. Houston Methodist, Houston, Texas
| | - David Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Paula Tejera-Alveraz
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Rihong Zhai
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | | | - Carol J Etzel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas. CORRONA, Inc., Southborough, Massachusetts
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Talluri R, Wilkinson AV, Spitz MR, Shete S. A risk prediction model for smoking experimentation in Mexican American youth. Cancer Epidemiol Biomarkers Prev 2014; 23:2165-74. [PMID: 25063521 DOI: 10.1158/1055-9965.epi-14-0467] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Smoking experimentation in Mexican American youth is problematic. In light of the research showing that preventing smoking experimentation is a valid strategy for smoking prevention, there is a need to identify Mexican American youth at high risk for experimentation. METHODS A prospective population-based cohort of 1,179 adolescents of Mexican descent was followed for 5 years starting in 2005-06. Participants completed a baseline interview at a home visit followed by three telephone interviews at intervals of approximately 6 months and additional interviews at two home visits in 2008-09 and 2010-11. The primary endpoint of interest in this study was smoking experimentation. Information about social, cultural, and behavioral factors (e.g., acculturation, susceptibility to experimentation, home characteristics, and household influences) was collected at baseline using validated questionnaires. RESULTS Age, sex, cognitive susceptibility, household smoking behavior, peer influence, neighborhood influence, acculturation, work characteristics, positive outcome expectations, family cohesion, degree of tension, ability to concentrate, and school discipline were found to be associated with smoking experimentation. In a validation dataset, the proposed risk prediction model had an area under the receiver operating characteristic curve (AUC) of 0.719 (95% confidence interval, 0.637-0.801) for predicting absolute risk for smoking experimentation within 1 year. CONCLUSIONS The proposed risk prediction model is able to quantify the risk of smoking experimentation in Mexican American adolescents. IMPACT Accurately identifying Mexican American adolescents who are at higher risk for smoking experimentation who can be intervened will substantially reduce the incidence of smoking and thereby subsequent health risks.
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Affiliation(s)
- Rajesh Talluri
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anna V Wilkinson
- The University of Texas School of Public Health, Austin Regional Campus, Austin, Texas
| | | | - Sanjay Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas. Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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Smoking behavior and lung cancer in a biracial cohort: the Atherosclerosis Risk in Communities study. Am J Prev Med 2014; 46:624-32. [PMID: 24842739 PMCID: PMC4030495 DOI: 10.1016/j.amepre.2014.01.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Revised: 01/14/2014] [Accepted: 01/23/2014] [Indexed: 11/20/2022]
Abstract
BACKGROUND In the U.S., the incidence of lung cancer varies by race, with rates being highest among black men. There are marked differences in smoking behavior between blacks and whites, but little is known regarding how these differences contribute to the racial disparities in lung cancer. PURPOSE To compare the lung cancer risk associated with smoking in 14,610 blacks and whites in the prospective cohort Atherosclerosis Risk in Communities study. METHODS Smoking characteristics were ascertained at baseline and three follow-up visits in 1990-1992, 1993-1995, and 1996-1998 (response rates were 93%, 86%, and 80%, respectively), as well as from annual telephone interviews. Data were analyzed in the fall of 2012. Multivariable-adjusted proportional hazards models were used to calculate hazard ratios and 95% CIs for lung cancer. RESULTS Over 20 years of follow-up (1987-2006), 470 incident cases of lung cancer occurred. Lung cancer incident rates were highest in black men and lowest in black women. However, there was no evidence to support racial differences in the associations of smoking status, intensity, or age at initiation with lung cancer risk (all p(interaction)≥0.25). The hazard ratio for those who started smoking at age ≤12 versus >22 years was 3.03 (95% CI=1.62, 5.67). Prolonged smoking cessation (≥10 years) was associated with a decrease in lung cancer risk, with equivalent benefits in whites and blacks, 84% and 74%, respectively (p(interaction)=0.25). CONCLUSIONS Smoking confers similar lung cancer risk in blacks and whites.
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Underner M, Urban T, Perriot J, de Chazeron I, Meurice JC. [Cannabis smoking and lung cancer]. Rev Mal Respir 2014; 31:488-98. [PMID: 25012035 DOI: 10.1016/j.rmr.2013.12.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Accepted: 12/29/2013] [Indexed: 02/08/2023]
Abstract
Cannabis is the most commonly smoked illicit substance in the world. It can be smoked alone in plant form (marijuana) but it is mainly smoked mixed with tobacco. The combined smoking of cannabis and tobacco is a common-place phenomenon in our society. However, its use is responsible for severe pulmonary consequences. The specific impact of smoking cannabis is difficult to assess precisely and to distinguish from the effect of tobacco. Marijuana smoke contains polycyclic aromatic hydrocarbons and carcinogens at higher concentration than tobacco smoke. Cellular, tissue, animal and human studies, and also epidemiological studies, show that marijuana smoke is a risk factor for lung cancer. Cannabis exposure doubles the risk of developing lung cancer. This should encourage clinicians to identify cannabis use and to offer patients support in quitting.
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Affiliation(s)
- M Underner
- Service de pneumologie, unité de tabacologie, CHU La Milétrie, pavillon René-Beauchant, BP 577, 86021 Poitiers, France.
| | - T Urban
- Service de pneumologie, CHU d'Angers, 49000 Angers, France
| | - J Perriot
- Dispensaire Emile-Roux, CLAT 63, 63000 Clermont-Ferrand, France
| | - I de Chazeron
- Service de psychiatrie-addictologie, CHU de Clermont-Ferrand, 63000 Clermont-Ferrand, France
| | - J-C Meurice
- Service de pneumologie, unité de tabacologie, CHU La Milétrie, pavillon René-Beauchant, BP 577, 86021 Poitiers, France
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92
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Affiliation(s)
- Rachel Grana
- Center for Tobacco Control Research and Education (R.G., N.B., S.A.G.) and Department of Medicine and Cardiovascular Research Institute (N.B., S.A.G.), University of California, San Francisco
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93
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Abstract
BACKGROUND Smoking has been known to cause endothelial dysfunction and bronchial carcinoma and duration of smoking has been implicated in the effects of smoking on regular smokers. This study evaluated the effects of long-term smoking on some coagulation markers in chronic smokers. MATERIALS AND METHODS A total of 78 chronic smokers (age, 41 ± 20 years) where grouped according to duration of time they have smoked (2-6 years, 7-11 years, 12-16 years and 17-21 years), and included in the study. Bleeding time (BT), whole-blood clotting time (WBCT), total platelet count (TPC), prothrombin time (PT) and activated partial thromboplastin time with kaolin (APTTK) were estimated in the subjects using standard operative procedures. STATISTICAL ANALYSIS USED Graph pad prism software (Statmate) version 2.0 and SPSS version 20.0 were used for the statistical analysis and the test of significance was calculated using paired Student's t-test. RESULTS There was an inverse correlation between the durations of smoking and BT, WBCT, PT and APTTK coagulation markers and a linear correlation between the different durations and TPC, in the chronic smokers. The strongest effects was in the 12-16 years and 17-21 years duration (P < 0.05). CONCLUSION The study revealed that long-term chronic cigarette-smoking can lead to haemostatic dysfunction in chronic smokers. Smoking should be generally discouraged as it could have far-reaching medical implications on this group of subjects, especially in bleeding emergency cases.
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Affiliation(s)
- Soronnadi Clara Ngozi
- Department of Physiology, College of Medicine, Enugu State University of Science and Technology, Enugu State, Nigeria
| | - Neboh Emeka Ernest
- Department of Medical Biochemistry, College of Medicine, Enugu State University of Science and Technology, Enugu State, Nigeria
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94
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Is there a relationship between the presence of lung mucosa preinvasive lesions and lung cancer incidence? Influence of tobacco consumption. Lung Cancer 2014; 84:134-8. [PMID: 24589076 DOI: 10.1016/j.lungcan.2014.02.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 02/04/2014] [Accepted: 02/08/2014] [Indexed: 11/20/2022]
Abstract
UNLABELLED Although studied for years, the nature of the relationships between tobacco consumption, bronchial preinvasive lesions and lung cancer are still not completely elucidated. Objectives were to determine the relationship between tobacco consumption and lung mucosa preinvasive and invasive lesions and to describe patients' evolution according to baseline characteristics. METHODS Bronchial biopsy specimens were taken at six predetermined sites in 156 males, current smokers, aged above 18 years. Relationships between smoking characteristics and preinvasive lesions indexes and between baseline characteristics and lung cancer occurrence during a prospective follow-up were examined. RESULTS Maximum grade was hyperplasia for 16.7% of patients, metaplasia 33.3%, dysplasia 25.0%, and carcinoma in situ 1.3%. For 23.7% of patients, all biopsies were considered normal. Preinvasive lesion indexes were related to smoking intensity (cigarettes/day). Lung cancer incidence during the follow-up was 19.9%. No association between severity of mucosa lesions at baseline and incidence of cancer during the follow-up period was observed. CONCLUSION The majority of smokers had mucosa lesions, but a relatively small number of them would have a cancer, and there was a poor correlation between severity of mucosalesions and incidence of cancer. Even if an evolution from preinvasive lesions to an invasive cancer is plausible and coherent with current concepts, this link does not appear strong enough to recommend the use of systematic classic endoscopy for targeting of a sub-group of higher risk smokers who would require a closer follow up.
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95
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Vlaanderen J, Portengen L, Schüz J, Olsson A, Pesch B, Kendzia B, Stücker I, Guida F, Brüske I, Wichmann HE, Consonni D, Landi MT, Caporaso N, Siemiatycki J, Merletti F, Mirabelli D, Richiardi L, Gustavsson P, Plato N, Jöckel KH, Ahrens W, Pohlabeln H, Tardón A, Zaridze D, Field JK, 't Mannetje A, Pearce N, McLaughlin J, Demers P, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Stanescu Dumitru R, Bencko V, Foretova L, Janout V, Boffetta P, Forastiere F, Bueno-de-Mesquita B, Peters S, Brüning T, Kromhout H, Straif K, Vermeulen R. Effect modification of the association of cumulative exposure and cancer risk by intensity of exposure and time since exposure cessation: a flexible method applied to cigarette smoking and lung cancer in the SYNERGY Study. Am J Epidemiol 2014; 179:290-8. [PMID: 24355332 PMCID: PMC3895097 DOI: 10.1093/aje/kwt273] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 08/15/2013] [Indexed: 11/13/2022] Open
Abstract
The indiscriminate use of the cumulative exposure metric (the product of intensity and duration of exposure) might bias reported associations between exposure to hazardous agents and cancer risk. To assess the independent effects of duration and intensity of exposure on cancer risk, we explored effect modification of the association of cumulative exposure and cancer risk by intensity of exposure. We applied a flexible excess odds ratio model that is linear in cumulative exposure but potentially nonlinear in intensity of exposure to 15 case-control studies of cigarette smoking and lung cancer (1985-2009). Our model accommodated modification of the excess odds ratio per pack-year of cigarette smoking by time since smoking cessation among former smokers. We observed negative effect modification of the association of pack-years of cigarette smoking and lung cancer by intensity of cigarette smoke for persons who smoked more than 20-30 cigarettes per day. Patterns of effect modification were similar across individual studies and across major lung cancer subtypes. We observed strong negative effect modification by time since smoking cessation. Application of our method in this example of cigarette smoking and lung cancer demonstrated that reducing a complex exposure history to a metric such as cumulative exposure is too restrictive.
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Affiliation(s)
- Jelle Vlaanderen
- Correspondence to Dr. Jelle Vlaanderen, Universiteit Utrecht, Institute for Risk Assessment Sciences, P.O. Box 80178, 3508 TD Utrecht, The Netherlands (e-mail: )
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96
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Thomas DC. Invited commentary: is it time to retire the "pack-years" variable? Maybe not! Am J Epidemiol 2014; 179:299-302. [PMID: 24355333 PMCID: PMC3895098 DOI: 10.1093/aje/kwt274] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Accepted: 10/08/2013] [Indexed: 11/14/2022] Open
Abstract
Cumulative exposure--the product of intensity and duration for a constant exposure rate or its integral over time if variable--has been widely used in epidemiologic analyses of extended exposures, for example, the "pack-years" variable for tobacco smoking. Although the effects of intensity and duration are known to differ for exposures like smoking and ionizing radiation and simple cumulative exposure does not explicitly allow for modification by other time-related variables, such as age at exposure or time since exposure, the cumulative exposure variable has the merit of simplicity and has been shown to be one of the best predictors for many exposure-response relationships. This commentary discusses recent refinements of the pack-years variable, as discussed in this issue of the Journal by Vlaanderen et al. (Am J Epidemiol. 2014;179(3):290-298), in the broader context of general exposure-time-response relationships.
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Affiliation(s)
- Duncan C. Thomas
- Correspondence to Dr. Duncan C. Thomas, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, SSB-202F, Los Angeles, CA 90089-9234 (e-mail: )
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97
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Study of anti nuclear and anti smooth muscle antibodies in patients with chronic obstructive pulmonary disease. EGYPTIAN JOURNAL OF CHEST DISEASES AND TUBERCULOSIS 2014. [DOI: 10.1016/j.ejcdt.2013.11.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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98
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Dougados M, Soubrier M, Antunez A, Balint P, Balsa A, Buch MH, Casado G, Detert J, El-zorkany B, Emery P, Hajjaj-Hassouni N, Harigai M, Luo SF, Kurucz R, Maciel G, Mola EM, Montecucco CM, McInnes I, Radner H, Smolen JS, Song YW, Vonkeman HE, Winthrop K, Kay J. Prevalence of comorbidities in rheumatoid arthritis and evaluation of their monitoring: results of an international, cross-sectional study (COMORA). Ann Rheum Dis 2014; 73:62-8. [PMID: 24095940 PMCID: PMC3888623 DOI: 10.1136/annrheumdis-2013-204223] [Citation(s) in RCA: 549] [Impact Index Per Article: 49.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2013] [Revised: 08/26/2013] [Accepted: 09/08/2013] [Indexed: 12/16/2022]
Abstract
BACKGROUND PATIENTS with rheumatoid arthritis (RA) are at increased risk of developing comorbid conditions. OBJECTIVES To evaluate the prevalence of comorbidities and compare their management in RA patients from different countries worldwide. METHODS STUDY DESIGN international, cross-sectional. PATIENTS consecutive RA patients. DATA COLLECTED demographics, disease characteristics (activity, severity, treatment), comorbidities (cardiovascular, infections, cancer, gastrointestinal, pulmonary, osteoporosis and psychiatric disorders). RESULTS Of 4586 patients recruited in 17 participating countries, 3920 were analysed (age, 56±13 years; disease duration, 10±9 years (mean±SD); female gender, 82%; DAS28 (Disease Activity Score using 28 joints)-erythrocyte sedimentation rate, 3.7±1.6 (mean±SD); Health Assessment Questionnaire, 1.0±0.7 (mean±SD); past or current methotrexate use, 89%; past or current use of biological agents, 39%. The most frequently associated diseases (past or current) were: depression, 15%; asthma, 6.6%; cardiovascular events (myocardial infarction, stroke), 6%; solid malignancies (excluding basal cell carcinoma), 4.5%; chronic obstructive pulmonary disease, 3.5%. High intercountry variability was observed for both the prevalence of comorbidities and the proportion of subjects complying with recommendations for preventing and managing comorbidities. The systematic evaluation of comorbidities in this study detected abnormalities in vital signs, such as elevated blood pressure in 11.2%, and identified conditions that manifest as laboratory test abnormalities, such as hyperglycaemia in 3.3% and hyperlipidaemia in 8.3%. CONCLUSIONS Among RA patients, there is a high prevalence of comorbidities and their risk factors. In this multinational sample, variability among countries was wide, not only in prevalence but also in compliance with recommendations for preventing and managing these comorbidities. Systematic measurement of vital signs and laboratory testing detects otherwise unrecognised comorbid conditions.
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Affiliation(s)
- Maxime Dougados
- Medicine Faculty, Paris-Descartes University, Paris, France
- Rheumatology B Department, APHP, Cochin Hospital, Paris, France
| | | | - Anna Antunez
- Rheumatology Unit, Central Hospital “Dr Urquinaona”, Maracaibo, Venezuela
| | - Peter Balint
- 3rd Rheumatology Department, National Institute of Rheumatology and Physiotherapy, Budapest, Hungary
| | - Alejandro Balsa
- Rheumatology Unit, La Paz University Hospital, Madrid, Spain
| | - Maya H Buch
- Leeds Institute of Rheumatic & Musculoskeletal Medicine, University of Leeds, UK
- NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds Teaching Hospitals NHS, UK
| | - Gustavo Casado
- Department of Rheumatology, Hospital Militar Central, Buenos Aires, Argentina
| | - Jacqueline Detert
- Rheumatology Department, Charité University Medicine, Berlin, Germany
| | | | - Paul Emery
- Leeds Institute of Rheumatic & Musculoskeletal Medicine, University of Leeds, UK
- NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds Teaching Hospitals NHS, UK
| | | | - Masayoshi Harigai
- Department of Pharmacovigilance, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shue-Fen Luo
- Department of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital and Chang Gung University, Tao-Yuan, Taiwan
| | - Reka Kurucz
- 3rd Rheumatology Department, National Institute of Rheumatology and Physiotherapy, Budapest, Hungary
| | - Gabriel Maciel
- Clínica Médica 1, Hospital Maciel, Universidad de la República, Montevideo, Uruguay
| | | | | | - Iain McInnes
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, Scotland
| | - Helga Radner
- Division of Rheumatology, Department of Medicine 3, Medical University of Vienna, and 2nd Department of Medicine, Hietzing Hospital, Vienna, Austria
| | - Josef S Smolen
- Division of Rheumatology, Department of Medicine 3, Medical University of Vienna, and 2nd Department of Medicine, Hietzing Hospital, Vienna, Austria
| | - Yeong-Wook Song
- Department of Rheumatology, Seoul National University Hospital, Seoul, Korea
| | - Harald Erwin Vonkeman
- Department of Rheumatology and Clinical Immunology, Medisch Spectrum Twente and University of Twente, Enschede, The Netherlands
| | - Kevin Winthrop
- Division of Infectious Diseases, Public Health and Preventive Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Jonathan Kay
- Division of Rheumatology, Department of Medicine, University of Massachusetts Medical School and UMass Memorial Medical Center, Worcester, Massachusetts, USA
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99
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Pierce JP, Patterson RE, Senger CM, Flatt SW, Caan BJ, Natarajan L, Nechuta SJ, Poole EM, Shu XO, Chen WY. Lifetime cigarette smoking and breast cancer prognosis in the After Breast Cancer Pooling Project. J Natl Cancer Inst 2013; 106:djt359. [PMID: 24317179 DOI: 10.1093/jnci/djt359] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND There is controversy on whether former smokers have increased risk for breast cancer recurrence or all-cause mortality, regardless of how much they smoked. METHODS Data were from three US cohorts in the After Breast Cancer Pooling Project, with detailed information on smoking among 9975 breast cancer survivors. Smoking was assessed an average of 2 years after diagnosis. Delayed entry Cox proportional hazards models were used to examine the relationships of smoking status, cigarettes per day, years of smoking, and pack years with breast cancer prognosis. Endpoints included breast cancer recurrence (n = 1727), breast cancer mortality (n = 1059), and overall mortality (n = 1803). RESULTS Compared with never smokers, former smokers with less than 20 pack-years of exposure had no increased risk of any outcome. However, former smokers with 20 to less than 34.9 pack-years of exposure had a 22% increased risk of breast cancer recurrence (hazard ratio [HR] = 1.22; 95% confidence interval [CI] = 1.01 to 1.48) and a 26% increased risk of all-cause mortality (HR = 1.26; 95% CI = 1.07 to 1.48). For former smokers with 35 or more pack-years of exposure, the probability of recurrence increased by 37% (HR = 1.37; 95% CI = 1.13 to 1.66), breast cancer mortality increased by 54% (HR = 1.54; 95% CI = 1.24 to 1.91), and all-cause mortality increased by 68% (HR = 1.68; 95% CI = 1.44 to 1.96). Current smoking increased the probability of recurrence by 41% (HR = 1.41; 95% CI = 1.16 to 1.71), increased breast cancer mortality by 60% (HR = 1.61; 95% CI = 1.28 to 2.03), and doubled the risk of all-cause mortality (HR = 2.17; 95% CI = 1.85 to 2.54). CONCLUSIONS Lifetime cigarette smoking was statistically significantly associated with a poor prognosis among women diagnosed with breast cancer, dose-dependent increased risks of recurrence, and breast cancer and all-cause mortality.
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Affiliation(s)
- John P Pierce
- Affiliations of authors: Cancer Prevention and Control Program, Moores UCSD Cancer Center, University of California-San Diego, La Jolla, CA (JPP, REP, CMS, SWF, LN); Division of Research, Kaiser Permanente, Oakland, CA (BJC); Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN (SJN, X-OS); Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (EMP, WYC); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA (WYC)
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100
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Malta DC, da Silva SA, de Oliveira PPV, Iser BPM, Bernal RTI, Sardinha LMV, Moura LD. Monitoring of risk and protective factors for chronic non communicable diseases by telephone survey in Brazilian State Capitals, 2008. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2013; 15:639-50. [PMID: 23090310 DOI: 10.1590/s1415-790x2012000300017] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2010] [Accepted: 05/18/2012] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To estimate the prevalence of protective and risk factors for the most important chronic non communicable diseases in all Brazilian capitals, including the Federal District. METHODS Data used were collected in 2008 through VIGITEL, an ongoing population-based telephone survey surveillance system implemented in all Brazilian State capitals since 2006. In 2008, over 54,000 interviews were completed over the phone with a random sample of individuals living in all 27 capitals. RESULTS The analyses showed differences in the prevalence of determinants of chronic diseases by demographic characteristics such as gender, age and schooling. Men were more likely to be current smokers, overweight, and consumers of soft drinks, fatty meat and alcohol. They were also more likely to be more active in leisure. Women reported being more likely to eat healthy, but also were more likely to have a physician diagnosis of high blood pressure, dyslipidemia, osteoporosis and overall poor health status. In general, the prevalence of risk factors studied increased with decreasing levels of schooling. DISCUSSION The VIGITEL system was implemented to monitor changes in the prevalence of determinants of chronic diseases over time to inform public health workers and decision makers to adjust existing programs and policies according to the changing profile of consumers. The ultimate goal is to improve the health of the Brazilian population.
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Affiliation(s)
- Deborah Carvalho Malta
- Coordenação Geral de Doenças e Agravos Não Transmissíveis, Departamento de Análise de Situação de Saúde, Secretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, DF, Brasil.
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