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    Current Perspective on theGlobal and United StatesCancer Burden Attributable

    Lifestyle and EnvironmentaRisk FactorsDavid Schottenfeld,1,2,3Jennifer L. Beebe-DimmPatricia A. Buffler,7 and Gilbert S. Omenn1,3,4

    1School of Public Health, 2Department of Epidemiology, 3Medical School, DepartmInternal Medicine, 4Departments of Computational Medicine and Bioinformatics,Human Genetics, University of Michigan, Ann Arbor, Michigan 48109;email: [email protected], [email protected]

    5Karmanos Cancer Institute, Division of Population Studies and Disparities Researc6

    Department of Oncology, Wayne State University, Detroit, Michigan 48201;email: [email protected]

    7School of Public Health, Department of Epidemiology, University of California, BCalifornia 94720; email: [email protected]

    Annu. Rev. Public Health 2013. 34:97117

    The Annual Review of Public Health is online atpublhealth.annualreviews.org

    This articles doi:10.1146/annurev-publhealth-031912-114350

    Copyright c 2013 by Annual Reviews.All rights reserved

    Keywords

    cancer epidemiology, cancer prevention, population attributable

    fractions, multistep carcinogenesis

    Abstract

    Our objective is to provide a current perspective on the avoidable c

    of global and US cancer incidence and mortality. Cancer registrybincidence patterns, population behavioral risk-factor survey data

    systematic reviews of epidemiologic studies are the basis for estim

    of relative risk, the prevalence of exposures to various lifestyle and

    vironmental risk factors, and their impact expressed as populatio

    tributable fractions(PAFs). Of thetotal 59 million globaldeathsin 2

    1213% were attributed to cancer. The increasing burden of can

    in low- and middle-income countries (LMICs) is attributable in pa

    increasing urbanization, expansion of the adult population at risk

    increasing or persistent exposures to infectious agents, tobacco, an

    etary deficiencies. Attributable fractions for lifestyle and environm

    risk factors are summarized for the United States, the United Kingand France. Assuming minimal overlap in the distribution of risk fa

    in the population and discounting the potential for interaction in

    combined effects, we estimate that a maximum of 60% of cancer d

    in the United States may be attributed to eight risk factors: tob

    alcohol, ionizing and solar radiations, occupations, infectious ag

    obesity, and physical inactivity.

    97

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    REVIEWS

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    INTRODUCTIONIn 1981, Doll & Peto (27) coauthored a land-

    mark publication that presented quantitative

    estimates of avoidable risks of cancer in the

    United States. The objective of their report

    was to assess the evidence relating to ways of

    avoiding or delaying the onset of cancers in

    specific organ sites and to estimate the per-centage reductions in age-standardized cancer

    mortality that would be achieved by removing

    various lifestyle behavioral and environmental

    risk factors that were prevalent in the popula-

    tion. Estimates of the avoidability of specific

    cancers were based on ranges of differences

    in global cancer mortality rates in different

    populations and geographic areas; differences

    in risks for specific cancer sites between

    migrants and indigenous populations that vary

    by age at migration and duration of residence;

    and epidemiologic studies of putative causes of

    cancers and their impact on mortality rates and

    trends. The referent low rates were derived

    from international cancer incidence registry

    data for 19681972 (142). On the basis of

    these comparisons and of assumptions based

    on minimum risk exposure distributions, Doll

    & Peto concluded that, theoretically, 75% to

    80% of cancer deaths in the United States in

    the 1970s could have been avoided.

    In the late 1970s and prior to the Doll &

    Peto publication, the worlds population ex-

    ceeded four billion, and there were an estimated

    four million cancer deaths on average each year

    (90). For the years 19751979, total US can-

    cer mortality was the second leading cause of

    death, accounting for 377,312 deaths, or 19.8%

    of total deaths. Deaths due to cancers of the

    breast, colon and rectum, and lung comprised

    48% of cancer deaths in women, compared

    with 56% of deaths in men due to cancers of

    the prostate, colon and rectum, and lung (124).

    In 2008, the worlds population was es-

    timated to be 6.7 billion, and there were on

    average, based on the GLOBOCAN 2008

    statistics, 7.6 million cancer deaths and 12.7

    million cancer cases (36). The report estimated

    that 64% of the cancer deaths and 56% of the

    cancer cases were registered in the econ

    mically developing countries in Africa, As

    and Latin America. The global projection f

    the year 2020 is a population of 7.5 billio

    in which there will be more than 10 millio

    cancer deaths worldwide (68, 116).

    In the United States, beginning with t

    year 2000, cancer mortality surpassed heart dease as the underlying cause of death in wom

    4079 years of age and in men 6079 years

    age. The peak years for age-standardized ca

    cer death rates were 1990 and 1991 in men an

    women, respectively. However, the numb

    of cancer deaths in all age groups persisted

    the second leading cause of death, accountin

    for 562,875 deaths in 2007, or 23.2% of tot

    deaths. Cancer death rates, all sites combine

    decreased by 1.9% per year in men and by 1.5

    per year in women during 20022007. Redu

    tions in overall cancer death rates since 199

    resulted in 890,000 fewer cancer deaths th

    expected by 2007. Lung, prostate, and colore

    tal cancers comprised 80% of the decrease

    cancer mortality in men. Breast and colorec

    cancers accounted for 60% of the decrease

    cancer mortality in women (63). However, rat

    during 19992008 were increasing for seve

    cancer sites, including human papillomaviru

    related oropharyngeal squamous-cell canc

    esophageal, pancreatic, liver and intrahepa

    bile duct, thyroid, and renal cell adenoca

    cinomas; and cutaneous melanoma. T

    papillomavirus-related oropharyngeal cance

    represented a subgroup that was HPV-

    DNA-positive and comprised 2040%

    oropharyngeal cancers reported in the Unit

    States during the past 10 years (125). Of mo

    than 1.5 million cancer cases diagnosed in t

    United States each year, an estimated 16

    (1 in 6) occur among cancer survivors of

    or more years. In a 25-year study utilizi

    the National Cancer Institutes Surveillan

    Epidemiology and End Results (SEER) re

    istry, the cumulative incidence of seco

    primary cancers was 5.0%, 8.4%, 10.8%, an

    13.7% at 5, 10, 15, and 25 years, respective

    (61).

    98 Schottenfeld et al.

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    The objective of this review is to provide a

    current perspective on the avoidable causes of

    global and US cancer incidence and mortality.

    Our approach will be based on a comprehensive

    review of epidemiologic studies published since

    the Doll & Peto report. Where appropriate,

    we reference studies conducted in the United

    States and in countries and populations outsideof the United States. Population-based cohort

    and case-control studies and national surveys

    of lifestyle behavioral risk factors will provide

    the estimates for multivariable-adjusted relative

    risks, distributions of prevalence proportions of

    risk factors, and the precision of estimated pop-

    ulation attributable fractions.

    The population attributable fraction (PAF)

    or excess fraction is used to quantify the

    impact of a causal risk factor in a population:

    the proportion of cases that would not have

    occurred in the absence of exposure (110).

    The measure was proposed in 1953 by Morton

    Levin while describing the association between

    cigarette smoking and lung cancer (76). As a

    valid measure of the population burden of a

    disease associated with a specific risk factor,

    health professionals assume that the PAF is not

    influenced by selection or misclassification bias,

    nor confounded by the uncontrolled distribu-

    tion of covariate causal factors (89). Thus the

    formula for a single binary exposure variable is

    PAF = Pe(RR 1)/Pe(RR 1) + 1,

    where Pe is the proportion of the study

    population exposed or estimated from

    population-based controls and RR is the risk

    ratio, rate ratio, or odds ratio. [An alternative

    formula derives the attributable fraction among

    the exposed cases (AFe) and multiplies AFe by

    the proportion of total cases exposed.] When

    the exposure is classified into more than two

    categories, the formula is then modified to indi-catesummationoftheproductsoftheP(ith) ex-

    posure levels and stratum-specific estimations

    of relative risk. The summation of attributable

    fractions for different environmental exposures

    may not be appropriate when substantial over-

    lap in the distribution of risk factors is assumed.

    CANCER PATTERNS INDEVELOPING COUNTRIES

    Of the total 59 million global deaths in 2008,

    31% were attributed to cardiovascular diseases,

    and 1213% to cancers in all sites (61, 62).

    The global burden of cancer in low- and

    middle-income countries (LMICs) is projected

    to increase because of aging, increasing urban-ization, and expansion of the population at risk,

    in conjunction with the prevalence trends of

    major risk factors (138). When compared with

    industrialized countries, LMICs in 2008 expe-

    rienced a higher proportion of uterine cervical,

    stomach, liver, oral cavity and pharyngeal,

    esophageal, and HIV-associated cancers. Lung

    and breast cancers are leading causes of mortal-

    ity in both LMICs and industrialized countries.

    The proportion of incident cancers diagnosed

    in LMICs attributed to infectious agents wasestimated to vary from 20% to 30% (68, 95).

    Future cancer trends in the LMICs will re-

    flect global shifts in population distributions

    of lifestyle and environmental exposures, such

    as tobacco, and the cancer-causing infectious

    agents, as well as exposures to occupational and

    environmental carcinogenic agents (87). As-

    sessment of global trends assumes an increas-

    ing commitment to developing more complete

    and accurate cancer surveillance registries that

    are maintained by trained health professionalswith the collaboration and support of medical

    and public health organizations. The sophisti-

    cation of a committed public health infrastruc-

    ture will enable the implementation of effective

    interventions in primary lifestyle-based cancer

    prevention and cancer-screening examinations.

    MAJOR DETERMINANTSOF CANCER

    Epidemiologic, biochemical, and moleculargenetic studies have provided a conceptual

    foundation for multistep carcinogenesis.

    Hanahan & Weinberg, in their review of the

    hallmarks of cancer, described six biological

    events in the interaction of cancer cells and the

    immune mechanisms of the human host. These

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    DNA methylation:attachment of methylgroups to DNAcytosine basesassociated withreduced or modulated

    gene transcription

    Histonemodification: histoneproteins make up thenucleosomes around

    which DNA is coiledand upon whichepigenetic events maybe expressed

    Tumor suppressorgenes: genesresponsible for

    constraining cellneoplasticproliferation orfurthering celldifferentiation orphysiologic cell death

    Proto-oncogenes:normal cellular genesthat, upon alterationby DNA-damagingagents, acquire theability to function asoncogenes, or genes

    that transform cells

    events include sustaining proliferative signal-

    ing, evading the effects of intrinsic growth

    suppressors, resisting apoptosis or the genetic

    factors that regulate and program physiologic

    cell death, enabling replicative immortality,

    inducing angiogenesis, and activating mecha-

    nisms that interfere with cell-cell adhesion and

    cell-extracellular matrix attachment, resultingin local invasion and distant dissemination

    of cancer cells (51). Experimental models of

    chemical carcinogenesis have demonstrated

    multistep phases of initiation, promotion,

    neoplastic cell transformation or conversion,

    and progression as a result of the accumulation

    of adverse genetic and epigenetic events.

    Chemical agents that are tumor promoters

    facilitate clonal expansion of initiated cells.

    Examples of agents with tumor-promoting

    properties include tobacco smoke condensate,

    ethanol, sex steroid hormones, bile acids,

    dioxins, and agents that are chronic irritants or

    evoke an inflammatory response.

    Epigenetic events are composed of stable

    and heritable, or potentially heritable, alter-

    ations in gene expression that do not entail a

    changein DNA sequence. Epigenetic eventsare

    associated with patterns of DNA methylation

    and histone modification that serve to modulate

    the expression of tumor suppressor genes and

    proto-oncogenes. Epigenetic mechanisms are

    essential for normal function and development

    of human cells and tissues, as well as for

    maintenance of tissue-specific gene-expression

    patterns. Epigenetic events are intimately asso-

    ciated with fetal organdevelopment,pathologic

    events associated with aging, biochemical ef-

    fects of micronutrients, and the tumorigenic

    effects of cytokine mediators of chronic

    inflammation (39, 122).

    TobaccoNo single measure is known that would have as

    great an impact on the number of deaths at-

    tributable to cancer as a reduction in the use of

    tobacco.

    Doll & Peto (27)

    During the years 20002007, tobacco use h

    been associated with 56 milliondeaths per ye

    worldwide, with 15% of those deaths due

    cancer (65). Globally, among men and wome

    between the ages of 30 and 69 years, cigaret

    smoking was associated with 31% of all ca

    cer deaths in men and 6% in women. If curre

    trends in the patterns of smoking continue, J(65) projects that tobacco-related cancer mo

    tality will double by 2030, with 70% of deat

    occurring in LMICs.

    The International Agency for Research

    Cancer (IARC) listed 72 compounds in tobac

    smoke that were sufficient or probabl

    causes of human cancers. The most importan

    based on their carcinogenic potency and esta

    lished levels in cigarette smoke, were polycyc

    aromatic hydrocarbons, N-nitrosamines, ar

    matic amines, 1,3-butadiene, benzene, a

    various aldehydes (58).

    Nineteen cancer sites are currently a

    tributable to cigarette smoking (Table 1). T

    associated relative risks are influenced by bo

    behavioral and host characteristics. The k

    determinants of relative risk in association wi

    smoking-exposure patterns include avera

    intensity and duration of dose, measur

    in number of cigarettes smoked per da

    duration of use, pack-years of exposure, age

    initiation, depth and frequency of inhalatio

    tar concentration, use of filters, and number

    years since quitting (among former smoker

    In the British Physicians Study, among tho

    who stopped smoking at ages 30, 40, an

    50 years, the cumulative risks of lung canc

    mortality by age 75 years were 2%, 3%, an

    6%, respectively, compared with the risi

    cumulative risk of 16% in those who continu

    to smoke (30). The modeling of the dynami

    of declining relative risks after smoking ce

    sation has indicated that the major factors a

    prior duration and intensity of smoking, a

    at initiation, and age at cessation. Similar r

    ductions in relative risk have been described

    studies conducted in the United States, wher

    since 2002, the number of former smoke

    (about 47 million) has exceeded that of curre

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    Table 1 Tobacco-related cancer sites

    System Organ site

    Respiratory Lung and bronchus (all cell types), larynx, nasal cavity, paranasal sinuses,

    nasopharynx

    Upper digestive Oral cavity, pharynx (oropharynx, hypopharynx), esophagus (squamous

    cell and adenocarcinoma)

    Gastrointestinal Stomach, liver, pancreas, large intestine

    Renal and lower urinary tract Kidney (renal cell carcinoma), kidney pelvis, ureter, urinary bladder(transitional cell carcinoma)

    Female reproductive Uterine cervix, ovary (mucinous carcinoma cell type increased and

    endometrioid cell type decreased in current smokers)

    Hematologic Myeloid leukemia

    smokers (about 45 million or 19% of adults)

    (131). Currently, more than 50% of annual

    lung cancer incidence in the United States is

    diagnosed in former smokers. Susceptibility to

    the deleterious effects of carcinogens containedin tobacco smoke may be influenced by genetic

    polymorphisms in DNA repair capacity genes

    and by polymorphisms that regulate activa-

    tion, detoxification, and clearance of tobacco

    procarcinogenic metabolites.

    The pervasive nature of tobacco use and its

    impact on the global cancer burden underscore

    the importance of surveillance and assessment

    of smoking trends. Over the past 30 years,

    cigarette tobacco consumption, adjusted for

    population size, has decreased by50% in the

    United States and the United Kingdom, while

    increasing significantly in China, Indonesia,

    India, the Russian Federation, and Eastern

    European and Latin American countries (40,

    66, 84). The gender disparity in smoking

    prevalence is more prominent among LMICs

    (male to female ratio 6:1) compared with

    high-income countries (1.75:1) (66). Within

    LMICs, the prevalence of tobacco use increases

    with urbanization (94).

    Danaei and colleagues (24) reported on the

    estimates of PAFs for tobacco by tumor type

    for both LMICs and high-income countries

    using cancer mortality data gathered by the

    World Health Organization (WHO) in 2001.

    Tobacco use was estimated to account for

    29% of all cancer mortality in high-income

    countries and 18% in LMICs. The US surgeon

    general estimated that 30% of all cancer deaths

    in the United States, ranging from 30% to

    35% in men and 20% to 25% in women, were

    attributable to exposure to tobacco smoke, anestimate that was comparable to that of Doll

    and Peto (40, 19). In a 2004 report, the IARC

    concluded that exposure to secondhand smoke

    [or environmental tobacco smoke (ETS)] was

    causally related to lung cancer in nonsmokers

    (58). Precise measurement of exposure to

    ETS is difficult, with most population-based

    investigations focused on the spouses, children,

    or coworkers of smokers. The results of a

    meta-analysis published by IARC concluded

    that, compared with the spouses of nonsmok-

    ers, the risk of lung cancer associated with

    having a spouse who smokes was 24% higher in

    women and 37% higher in men (58). The risk

    of lung cancer among nonsmokers exposed to

    secondhand smoke in the workplace was 12%

    higher in men and 19% higher in women than

    in unexposed workers (58). In 2011, Parkin

    estimated that the attributable fraction for lung

    cancer cases in the United Kingdom associated

    with ETS in both the home and the workplace

    was 1213% among nonsmoking men and

    1516% among nonsmoking women (97). The

    US National Research Council concluded that

    20% of lung cancer incidence in nonsmoking

    men and women may be attributable to ETS

    exposure, accounting for 2% to 3% of all lung

    cancer cases (92, 58).

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    Alcohol

    [. . .] we arrive at an attributable proportion of

    about 3% of all cancer deaths in both sexes. The

    range of uncertainty in this estimate is quite nar-

    row and it is most implausible that the true per-

    centage lies outside the range of 24%.

    Doll & Peto (27)

    In 1988, the IARC classified ethyl alcohol as a

    Group 1 carcinogen and its primary metabolite,

    acetaldehyde, as a possible human carcinogen

    (Group 2 B). In 2009, an IARC working

    group concluded that acetaldehyde was a

    Group 1 human carcinogen and confirmed the

    earlier Group 1 classification of consumption

    of ethanol in alcoholic beverages. Chronic

    alcohol consumption has been associated

    independently with risks of cancers of the oral

    cavity, oropharynx, and hypopharynx; larynx

    (glottis and supraglottis); esophagus; liver;

    colon and rectum; and female breast (4, 8, 103).

    The consensus of epidemiologic studies in-

    dicates that the causal relationship is the result

    of cumulative exposures to ethanol from the

    various types of beverages. Although a thresh-

    old has not been established, increasing risks af-

    ter consumption of alcohol are readily evident

    with consumption levels in excess of 1530 g per

    day (equivalent to 12 drinks of beer, wine, or

    spirits). In the WHO Global Burden of Disease

    Project, a total 389,000 cancer cases in 2002

    were attributable to alcohol consumption, rep-

    resenting 3.6% of total cancers, 5.2% in men

    and 1.7% in women. The PAFs for alcohol var-

    ied by site ranging from 30% of cancers of the

    oral cavity and pharynx to just less than 5% of

    female breast cancers (120, 32, 55). In a pooled

    analysis based on an international consortium

    of more than 10,000 head and neck cancer pa-

    tients, the carcinogenic effect of alcohol con-

    sumption of 3 or more drinks per day in never

    smokers was measured as an odds ratio of 2.04

    [95% CI (confidence interval) = 1.29,3.21].

    Among the never users of tobacco, 7% of cases

    (95% CI = 416%) were attributed to alcohol

    (55). In the United States and most industrial-

    izedcountries,thePAFfortheupperaerodiges-

    tivetract cancers caused by combined exposur

    to alcohol and tobacco has been estimated

    range from 70% to 80% (147, 21). The poten

    ating effect of alcohol may reside in its functio

    as a chemical solvent (121). Heterozygous ca

    riers of the variant aldehyde dehydrogenase a

    lele, ALDH22, when compared with modera

    alcohol drinkers with wild-typeALDH2 allelare at higher risk of squamous cell carcinom

    of the esophagus and upper digestive tract, pr

    sumably because of elevated salivary, blood, a

    mucosal concentrations of acetaldehyde (16)

    Ionizing Radiation

    If we assume that each individual receives a whole-

    body dose of about 100 millirem, the total annual

    dose received by the whole population will amount

    to about 22 million rem . . . this would imply the

    production of about 5,500 cancer deaths a year, or

    1.4% of the total. . . it may be assumed that at low

    doses and low dose rates the effect is approximately

    proportional to the dose.

    Doll & Peto (27)

    Epidemiologic studies of radium-dial painte

    (112), uranium miners (80), Japanese atom

    bomb survivors (105), nuclear plant worke

    (139), nuclear facility accidents as in Chernob

    (3), irradiated cancer patients (114), or patien

    with ankylosing spondylitis (144), and of ch

    dren and adults following in-utero exposur

    to radiation (26) have provided evidence

    carcinogenicity from exposures to ionizi

    radiations. Many human types of cancer ha

    been linked to acute whole-body or protract

    exposures to sparsely ionizing (i.e., low line

    energy transfer) X-rays and gamma rays, wi

    notable exceptions of chronic lymphocy

    leukemia, Hodgkin lymphoma, maligna

    melanoma, uterine cervical cancer, testicul

    cancer, and prostate cancer (57, 135).

    The National Council on Radiation Pr

    tection and Measurements (NCRP) report

    that 50% of the total population exposure

    ionizing radiation emanated from natural bac

    ground sources (91). The NCRP estimat

    that the annual average per capita effecti

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    exposure dose was 2.4 millisievert, or 0.24 rem.

    The effective exposure dose in sievert or rem is

    a quantity that assigns a weighting factor on the

    basis of differences in sensitivity of tissues to

    radiobiologic effects and allows for comparing

    populations exposed to different types of radia-

    tion. More than 25 radioactive elements occur

    naturally in rocks and plants, including radon,radium, uranium, thorium, and potassium.

    Other sources of environmental radiation

    originate from the sun and outer space.

    Radon-222 exposure, resulting from ra-

    dioactive decay of uranium-238, occurs mainly

    through contamination of indoor air released

    from soil and building materials. The average

    annual residential radon exposure level in the

    United States has been measured as equiva-

    lent to 1.6 millisievert, comprising about two-

    thirds of the total estimated natural background

    level in the general population. The risk of lung

    cancer attributed to inhalation of radon gas is

    due to the effects of short-lived alpha-emitting

    decay products, principally polonium-218 and

    polonium-214, that deposit on the epithelial

    cells lining the bronchial airways (52).

    In a meta-analysis based on 8 case-control

    studies conducted in the United States,

    Sweden, Finland, and China, the estimated

    odds ratio for lung cancer for an exposure at

    100 Bq/m3 (equivalent to 2.7 picocuries per

    liter) was 1.09 (95% CI = 1.00 to 1.19) (79).

    Pooling of 13 European case-control studies

    reported a relative risk of 1.16 (95% CI = 1.05

    to 1.31) for lung cancer in relation to a radon

    exposure level of 100 Bq/m3. At this exposure

    level, the cumulative risk of lung cancer in

    nonsmokers by age 75 years was projected to be

    0.47%, and in cigarette smokers, 12% (53, 88).

    On the basis of studies in Europe and in

    the United States, domestic radon exposures

    have been estimated to cause 515% of total

    annual lung cancer cases. The joint effect of

    exposures to radon progeny and tobacco smoke

    is most consistent with a submultiplicative

    interaction. The National Research Council

    estimated that 15,40021,000 lung cancer

    deaths per year were attributed to domestic

    radon exposure, of which 2,1002,900 lung

    cancer deaths occurred in nonsmokers (93).

    The US Environmental Protection Agency

    (EPA) has set 4pCi/L as an action level for

    domestic radon levels requiring remediation

    (43). The EPA estimates that as many as

    eight million homes in the United States have

    elevated radon levels. Remediation can be

    initiated by the homeowner using a variety ofmethods, including sealing cracks in floors and

    walls, increasing ventilation, and using pipes

    and fans in subslab depressurization (43).

    The National Research Council and the

    NCRP concluded that no more than 2% of all

    cancer deaths in the United States may be at-

    tributed to natural background radiation (93,

    91). Doll & Peto published subsequently that

    the proportion of cancer deaths in the United

    Kingdom that may be attributed to all sources

    of ionizing radiation was 45% (28, 29).

    Currently, medical exposures to ionizing

    radiation contribute to 48% of the total US

    population radiation exposure. In contrast, in

    the early 1980s, medical exposures accounted

    for only 15% of all radiation exposures (11).

    Over the past 30 years, the average radiation

    dose from medical imaging has increased about

    sixfold, from 0.5 millisievert to 3.0 millisievert

    (35, 44). Included under this category are

    the percentages of the population exposure

    doses attributed to computed tomography

    (CT) (24%); nuclear medicine, including

    use of radiopharmaceuticals and radiotracers

    (12%); interventional fluoroscopy (7%); and

    conventional radiography and fluoroscopy

    (5%). Consumer products and industrial and

    occupational exposures accounted for 2% of

    the total. CT and nuclear imaging are the ma-

    jor sources of medical radiation exposure (2).

    Since its introduction in 1972, the number of

    CT procedures has increased proportionately

    from 8% to 15% each year. In 2006, there were

    67 million estimated CT procedures in the

    United States, compared with 293 million con-

    ventional radiography and fluoroscopy proce-

    dures. The radiation dose to individual organs

    from a CT procedure will depend on the num-

    ber of scans, tube current and scanning time,

    tube voltage, the degree of overlap between

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    adjacent tissue slices, and body mass of the

    patient. Depending on machine settings, the

    effective exposure dose to an organ may range

    from 1 to 15 millisievert per scan (67, 127).

    Current estimates, based on theoretical models,

    are that 0.4% of all cancers in the United States

    may be attributable to the radiation from CT

    examinations (10). The estimated number ofCT procedures performed in 2007 exceeded 70

    million, and these cases were projected to result

    in 29,000 (95% CI = 15,00045,000) future

    cancers (6). With multiple scans per procedure,

    a future estimate for medical exposures may be

    in the range of 1.52.0% of all cancers.

    Solar Radiation

    At this stage we may, perhaps, attribute 90% of lip

    cancers and 50% or more of melanomas, as well as

    80% of other skin cancers, to UV light, in which

    case sunlight. . . would account for between 1 and

    2% of all cancer deaths.

    Doll & Peto (27)

    Epidemiologic studies have established that a

    pattern of chronic cumulative, work-related

    exposure to solar radiation is associated with

    the risk of cutaneous squamous cell carcinoma

    (SCC), in contrast to a pattern of intermittent,

    recreational exposure that is more commonly

    associated with cutaneous and ocular melanoma

    and basal cell carcinoma (BCC) (111). BCCs

    and SCCs are the most commonly diagnosed

    cancers in the white population in the United

    States. Special surveys conducted in the United

    States have estimated theannual incidence to be

    in excess of one million cases per year (1). In ad-

    dition, population-based studieshave estimated

    1,0002,000 deaths each year, accounting for

    0.20.4% of total annual cancer deaths (64).

    BCC is by far more common among the

    keratinocytic carcinomas, comprising 7080%

    in white males and 8090% in white females

    (69).

    Cutaneous malignant melanoma (CMM)

    is the most lethal form of skin cancer. There

    were 11,800 deaths due to melanoma in US

    men and women in 2010, or 2% of total cancer

    deaths. The rate of increase of CMM in th

    United States was 6% per year in the deca

    19701979 and 3% per year over the past tw

    decades (134). Melanocytes, the cells of orig

    of CMM, arise from neural crest progenit

    cells that migrate to the skin during embryog

    nesis, concentrating in the epidermal-derm

    junction, uveal epithelium, and sinonasal, oranal, and rectal mucosa (60). The probabili

    of malignant transformation of a melanocy

    is the result of complex interactions of exp

    sure patterns to ultraviolet (UV) radiatio

    genetic susceptibility, and anatomic locati

    (22, 47). The patterns of sun exposure

    childhood and adolescence, and the severi

    of acute sunburn injury, are important ri

    events for subsequent precursor and invasi

    keratinocytic and melanocytic neoplasms. T

    profile for increased risk of melanoma includ

    the number, distribution, and morphology

    nevi, light skin color, poor tanning abili

    light eye color, extent of freckling, red

    blond hair, and a family history of melanom

    Approximately 510% of melanoma patien

    are from high-risk families (77). The intensi

    of ultraviolet radiation (UVR) at the earth

    surface is greater at latitudes closer to t

    equator and at increasing altitudes. Absorptio

    of UVR by stratospheric ozone attenuat

    transmission of the UVR spectrum. As a co

    sequence of the ozone shield, UVA and UV

    comprise a much diminished portion of t

    emitted solar radiations, but they are primar

    responsible for the suns pathological effec

    The UVR that reaches the earths surfa

    consists of95% UVA and 5% UVB (29, 49

    In a survey in France, the attributab

    fraction for UVR and total cancer mortality

    the year 2000 was 0.7% for men and wom

    combined (9). This estimate may be compar

    with the 2003 estimate by Doll & Peto, th

    the proportion of cancer deaths in the Unit

    Kingdom attributed to UVR was 1% (2

    Parkin estimated an attributable fraction

    3.5% for malignant melanoma incidence in t

    United Kingdom in 2010 (96). Consistent wi

    the original Doll & Peto report, we estima

    12% in the United States for solar radiatio

    104 Schottenfeld et al.

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    and combined mortality for keratinocytic

    neoplasms and melanoma.

    Exposures to artificial sources of UV radi-

    ation, such as sunlamps, sun beds, and halogen

    lamps, have been linked with increased risks of

    cutaneous and ocular melanomas and of actinic

    keratoses and keratinocytic carcinomas (59).

    In the 1980s, 1% of American adults reportedusing indoor tanning facilities. Currently,

    tanning beds are used by 30 million Americans,

    or 10% of the population (37, 119). In a

    meta-analysis of case-control studies covering

    more than 7,000 cases of CMM, published by

    IARC, the summary relative risk of indoor tan-

    ning was 1.15 (95% CI = 1.001.31). For the

    subgroup in whom the first exposure occurred

    before age 35 years, the summary relative risk

    was 1.75 (95% CI = 1.352.26) (73).

    Regular use of broad-spectrum sunscreens

    is an effective adjunct in reducing risk of actinic

    keratoses and SCC (7). In a community-based,

    randomized controlled clinical trial conducted

    in Queensland, Australia, the use of a broad-

    spectrum SPF 15+ sunscreen resulted in a

    40% reduction (95% CI = 0.460.81) in risk

    of SCCs (136).

    Occupational Exposures

    Although different figures may, of course, apply

    to other countries, the minimum proportion of all

    current U.S. cancer deaths attributable to occu-

    pation can be hardly less than 2 or 3%. Occupa-

    tional cancer, moreover, tends to be concentrated

    among relatively small groups of people among

    whom the risk of developing the disease may be

    quite large . . . .

    Doll & Peto (27)

    Dreyer et al. (31), in a study of populations

    in Norway and Sweden, concluded that indus-

    trial carcinogens accounted for 3% of all can-

    cer cases in men and

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    Table 2 Biologic agents and human cancersa

    Agent Organ site(s)

    Viruses

    HPV Uterine cervix, oropharyngeal, anogenital

    HBV/HCV Liver, non-Hodgkin lymphoma (HCV)

    EBV Lymphoid tissues: non-Hodgkin lymphomas, including Burkitt,

    AIDS-related, posttransplant lymphoproliferative disorders; Hodgkin

    lymphoma;Epithelial tissues: nasopharyngeal carcinoma, gastric carcinoma (?)

    HHV-8 Kaposi sarcoma, primary effusion lymphoma, Castlemans multicentric

    lymphoproliferative disease

    HTLV-1 T-cell leukemia, lymphoma

    MCPyV Merkel cell carcinoma (neuroendocrine tumor of dermis)

    Bacteria

    Helicobacter pylori Stomach: carcinoma, B-cell MALT lymphoma (mucosa-associated

    lymphoid tumor)

    Parasites

    Schistosoma haematobium Urinary bladder

    Liver flukes Liver, bile duct, cholangiocarcinomaFungi

    Aspergillus(aflatoxin) Liver

    aAbbreviations: EBV, Epstein-Barr virus; HBV, hepatitis B virus; HCV, hepatitis C virus; HHV-8, human herpes virus 8

    HPV, human papilloma virus; HTLV-1, human T lymphotropic virus type 1; MCPyV, Merkel cell polyoma virus.

    Cytokines:

    regulatory proteins ofthe immune systemthat are associated

    with inflammatoryreactions, adaptiveimmune responses,and hematopoiesis

    with H. pylori is associated with progression

    of multifocal atrophic gastritis to intestinal

    metaplasia, dysplasia, and adenocarcinoma,

    located distal to the gastroesophageal junction,

    in 0.1% to 3% of patients (121). The tumori-

    genic effects of persistent infection by viral,

    bacterial, and parasitic agents are mediated

    through mechanisms of chronic inflammation

    that sustain proliferative signaling and aberrant

    adaptive immune responses. In the absence of a

    prominent inflammatory response, integration

    of segments of the microbial genome within

    the host genome may be accompanied by

    disruption of tumor-suppressing regulatory

    mechanism expression. The pathophysiologic

    significance of chronic inflammation in human

    carcinogenesis is reviewed below in the context

    of chronic infections with HBV and HCV and

    hepatocellular carcinoma (HCC) (117).

    HCC is the third most common cause of

    global cancer mortality. Approximately 85% of

    the cases are diagnosed in developing countries

    in Southeast Asia and sub-Saharan Africa whe

    HBV is endemic. Both HBV (more than 50

    of HCC cases) and HCV (30%) are maj

    causes of the estimated 700,000 annual cas

    worldwide (33).

    The cumulative lifetime risk of HCC

    patients chronically infected with HBV is es

    mated to be 1025%. The latency period fro

    onset of infection to diagnosis of liver canc

    ranges from 20 to 50 years. The level of risk

    correlated with HBV viral load and patholog

    indicators of cirrhosis and amplified by coinfe

    tion with HCV, HIV, and Delta hepatitis viru

    as well as exposures to ethanol, aflatoxin, t

    bacco, and obesity. The HBV DNA integrat

    randomly into the host cell genome. Cytotox

    T-lymphocytes and cytokines interact wi

    infected hepatocytes and are accompanied

    recurring cycles of cellular injury, necros

    and regeneration. In contrast to HBV, HCV

    not integrated into the host genome. Chron

    HCV infection affects 2.73.9 million perso

    106 Schottenfeld et al.

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    in the United States and is associated with liver

    fibrosis, cirrhosis, and liver cancer. The annual

    incidence of HCC in HCV-infected patients

    with cirrhosis is 38%. Biomarkers of chronic

    HCV infection are detected in 8090% of

    HCC patients in Japan and in 3050% of

    patients in the United States (33, 81).

    By 2007, the Joint United Nations Programon HIV/AIDS (UNAIDS) estimated the global

    prevalence of HIV-1 infection to be 33.2 mil-

    lion. HIV prevalence proportions ranged from

    less than 0.5% in most developed countries to

    an upper limit of 2530% in Central and South-

    ern Africa. The estimates reflected assumptions

    about the stability of survival rates and mi-

    gration patterns (12, 141). In 2007, UNAIDS

    assumed that the median survival in the infected

    population increased from 9 years to 11 years,

    which resulted in a reduction in the estimated

    global incidence from 4.1 million in 2006 to

    2.5 million in 2007. UNAIDS estimated that

    2.5 million deaths in LMICs were averted since

    1995 since the introduction of antiretroviral

    therapy. Refinements in future estimates will

    depend on the enhanced specificity and avail-

    ability of immunoassays for diagnosing new

    infections.

    Before the introduction of highly active

    antiretroviral therapy (HAART), a number of

    cancers were identified as AIDS-defining can-

    cers (ADCs). These included Kaposi sarcoma;

    non-Hodgkin lymphoma, most commonly

    of B-cell phenotype, that included entities

    classified as primary central nervous system

    lymphoma, large-cell immunoblastic lym-

    phoma, and Burkitt lymphoma; and cancer of

    the uterine cervix. During the period following

    the introduction of HAART, the relative risks

    of ADCs changed substantially. In addition,

    cancers that were not designated as ADCs were

    reported in patients with HIV. The non-ADCs

    included Hodgkin lymphoma, anogenital can-

    cers, keratinocytic (nonmelanoma) skin cancer,

    SCC of the conjunctiva, and HCC (15, 50,

    104). HIV infection is indirectly carcinogenic

    as a result of severe lymphocyte depletion

    and impaired immune function. The pattern

    of neoplastic sequellae results from increased

    expression of oncogenic viruses, namely

    Kaposi sarcoma herpes virus, Epstein-Barr

    virus, human papillomaviruses, hepatitis B

    and C viruses, and/or interactions with envi-

    ronmental agents such as UV radiation and

    tobacco.

    Obesity: Energy Consumptionand Expenditure

    [T]he role of overnutrition should perhaps come

    first rather than a list of aspects of diet which may

    affect the incidence of cancer, even though the rel-

    evant mechanisms remain obscure.

    Doll & Peto (27)

    The World Health Organization (WHO) es-

    timated in 2006 that throughout the world,

    1.6 billion persons aged 15 years and older were

    overweight, among whom 400 million were

    obese (148). Currently the US National Insti-

    tutes of Health (NIH), Dietary Guidelines for

    Americans, and the WHO use the body mass

    index (BMI), calculated from the ratio of the

    weight in kilograms (kg) divided by the height

    in meters squared (m2), as a criterion for defin-

    ing overweight and obesity (71). For the US

    adult population, an acceptable BMI is in the

    range of 18.524.9 kg/m2, overweight is clas-

    sified as ranging from 25.029.9 kg/m2, and

    obese is classified as 30.0 kg/m2. The obe-

    sity category has been further subclassified as

    follows: Class 1 = 30.034.9 kg/m2, Class 2 =

    35.039.9 kg/m2, and Class 3 = 40 kg/m2.

    BMI is correlated with percentage of body fat,

    but it does not provide information concerning

    regional differences in visceral intra-abdominal

    and subcutaneous fat distribution. The degree

    of adiposity associated with a given level of BMI

    may vary by age, gender, and racial or ethnic

    group. In studies of health outcomes in rela-

    tionship to adiposity in elderly menand women,

    concurrent assessment of BMI may not be an

    appropriate measure because of changes in body

    mass and composition that occur commonly

    with aging (128).

    On the basis of the National Health and Nu-

    trition ExaminationSurvey (NHANES) among

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    US adults in 19992008, the age-adjusted

    prevalence of obesity was 33.8% overall, 32.2%

    among men, and 35.5% among women. The

    estimated prevalence of the surveyed popula-

    tion who were overweight and obese combined

    was 72.3% for men and 64.1% for women (38).

    Between 1980 and 2004, the prevalence of obe-

    sity doubledin adults, whereas theprevalence ofoverweight tripled in children and adolescents

    aged 619 years (78). Obese adolescents are

    at substantially higher risk of protracted obe-

    sity accompanied by adverse health outcomes

    as young adults (130).

    Beyond the assessment of total adiposity is

    the consideration of regional distribution of

    fat. Measurements of the waist circumference,

    where the measuring tape is placed at the

    level of the iliac crest and measured at the

    end of normal expiration, or measurement

    of the waist-to-hip ratio (WHR) or waist-to-

    thigh ratio (WTR), are positively correlated

    with intra-abdominal, visceral fat deposition.

    However, the anthropometric ratios do not

    reflect only visceral fat accumulation. In each

    instance, the numerator provides an estimate

    of total and abdominal fat mass, and the

    denominator reflects overall body tissue mass,

    including muscle mass and peripheral fat mass.

    Thus, an increased WHR, namely 0.95 in

    men and 0.80 in women, may reflect an

    increase in visceral fat, decreased peripheral

    subcutaneous fat or muscle, or both. Excessive,

    intra-abdominal fat deposition, classified as

    a waist circumference 102 cm in men and

    88 cm in women, is associated with elevated

    risks of coronary heart disease, hypertension,

    ischemic stroke, type-2 diabetes, and a wide

    spectrum of cancers of gastrointestinal, genital,

    reproductive, kidney, hematopoietic, and

    endocrine organ sites (100, 106, 150).

    In the WHO technical report (148) on pre-

    venting and managing the global epidemic of

    obesity, the committee emphasized the com-

    plexity of diverse societal, cultural, economic,

    political, physical, and structural obesogenic

    factors that influence food preferences, en-

    ergy intake, and energy expenditure, as well as

    potential interaction with genetic mechanisms

    that influence individual susceptibility. Her

    tability of common obesity, or the degree

    which a quantitative trait is genetically dete

    mined, expressed as the ratio of the additive g

    netic variance to the total phenotypic varianc

    has been estimated to range from 50% to 80%

    The genetic contribution to the variability

    the prevalence of obesity has been based oanalyses of family, twin, and adopted offsprin

    studies (5). The putative effects of candida

    genes may serve to regulate brain sensing of f

    stores; energy homeostasis and rate of ener

    expenditure; appetite, satiety, and the functio

    ing of taste receptors; lipoprotein metabolism

    and the activity of signaling peptides releas

    from the gastrointestinal tract and adipo

    tissue (18, 23, 34, 56, 102).

    Adipocytes and fat-storage depots represe

    a complex endocrine and metabolic syste

    that plays an essential role in energy intak

    energy expenditure, and lipid and carbohydra

    metabolism. The pathogenesis of obesity

    associated with a high influx of fatty acids fro

    visceral fat into the portal circulation, insul

    resistance, abnormal lipoprotein synthes

    low-grade chronic inflammation, and aberra

    production of adipokines and proinflammato

    cytokines (137). The biochemistry of dysfun

    tional fat tissue may impact human cancer ris

    and cancer progression as a result of (a) insulresistance, hyperinsulinemia, and transie

    increases in hepatic secretion of insulin-li

    growth factor (IGF-1) and decreases in he

    atic production of IGF-binding protein

    (b) increased production and bioavailabiliof sex-steroid hormones due to increas

    aromatization of adrenal-derived androge

    and decreased production of sex hormon

    binding globulins; (c) increased production proinflammatory cytokines, including tum

    necrosis factor , interleukin-6 (IL-6), a

    C-reactive protein; and (d) propensity for t

    metabolic syndrome, associated with elevat

    triglycerides and free fatty acids, insulin res

    tance, and glucose intolerance/type-2 diabet

    (25, 48, 70, 109, 140).

    In a systematic review and synthesis

    prospective studies conducted in Nor

    108 Schottenfeld et al.

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    America, Europe, Australia, and the Asia-

    Pacific populations, Renehan et al. (108)

    estimated relative risks of incident cancers in

    15 organ sites in association with baseline in-

    cremental BMI levels, standardized to 5 kg/m2.

    In a subsequent publication, on the basis of a

    survey of 30 European countries, investigators

    concluded that 3.2% of all incident cancers inmen and 8.6% in women may be attributable

    to excess body weight. The overall impact

    amounted to more than 124,000 avoidable

    cancer cases per year. Cancers of the breast,

    endometrium, colon, and rectum accounted

    for two-thirds of the attributable cases (107).

    The relative risks of total cancer and site-

    specific cancer mortality attributable to being

    overweight or obese at baseline were reported

    in a cohort of more than 900,000 adult men and

    women participating in the American Cancer

    Societys Cancer Prevention Study II. The pro-

    portion of all cancer deaths, based on relative

    risks derived for the entire cohort, attributable

    to being overweight or obese at enrollment,

    was 4.2% in men and 14.3% in women. In-

    vestigators identified a subgroup of the cohort

    that consisted of 383,594 participants who were

    neversmokers.Theproportionofcancerdeaths

    attributable to being overweight or obese at en-

    rollment of US adults 50 years of age and older,

    who never smoked, was estimated at 14.2% in

    men and 19.8% in women. The PAFs, assumed

    to be generalizable to the US population, were

    derived on the basis of the relative risks esti-

    mated in the cohort study, which were then

    applied to the 19992000 NHANES of excess

    body weight prevalence in men and women,

    5069 years of age (14). The PAFs estimated

    for excess body weight and individual cancer

    sites in US adults in the year 2000 included

    colorectal cancer in men (35.4%) and women

    (20.8%), postmenopausal women with breast

    cancer (22.6%), and endometrial (56.8%), renal

    cell (42.5%), esophageal (52.4%), gastric cardia

    (35.5%), and gallbladder (35.5%) carcinomas

    (13).

    Based on SEER (2007) incidence data,

    NHANES (20052006) obesity prevalence

    data, and a summary review of published

    meta-analyses of cohort studies, Polednak (101)

    estimated that 4% of total incident cancers

    in men and 7% in women were attributed to

    obesity. The overall estimate was 6%, with the

    largest number of cancers in women being en-

    dometrium and breast, and colorectal cancer in

    men.

    Since the mid-1980s, the avoidable role ofphysical inactivity in cancer mortality, indepen-

    dent of, or interactive with, obesity and other

    lifestyle risk factors, has been examined in ob-

    servational epidemiologic studies (132). More

    than 60 cohort and case-control studies con-

    ducted worldwide have shown 2030% lower

    risks of colon cancer in relation to increasing

    hours per week and intensity levels (metabolic

    equivalents or MET-hours per week) of phys-

    ical activity (54). (One MET equals the rest-

    ing metabolic rate and is roughly equivalent to

    1 kilocalorie or 4.184 kilojoules per kilogram of

    body weight.) In a review of 19 cohort studies,

    Samad et al. (115) reported on the reduction

    in relative risks for colon cancer in physically

    active men (0.78; 95% CI = 0.680.91) and

    women (0.71; 95% CI = 0.570.88). However,

    the independent inverse association with level

    of physical activity observed for colon cancer

    hasnot been demonstrated for rectal cancer(41,

    72, 74, 75, 133, 146).

    In a cohort study of more than 47,000 male

    health professionals, the multivariable-adjusted

    relative risk of colon cancer in the most active

    quintile, compared with the lowest, was 0.53

    (95% CI = 0.320.88) (46). In the Nurses

    Health Study, the relative risk of colon cancer

    in the most active group was 0.54 (95% CI =

    0.330.90) (83). Women who engaged in physi-

    cal activityat a level of 21 MET-hours per week

    for 40 years experienced a 49% reduction (95%

    CI = 0.320.77) in risk of colon cancer, com-

    pared with women who reported 2 MET-hours

    of physical activity per week (143). In a system-

    atic review of 50 studies, both cohort and case-

    control, conducted in North America, Europe,

    Asia, Australia, and New Zealand, the median

    relative risk, comparing the most active partici-

    pants with the least active, was 0.7 for men and

    0.6 for women (74).

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    The cancer-preventive biological mecha-

    nisms that have been proposed for increased

    physical activity in colorectal carcinogenesis in-

    clude actions that (a) ameliorate the metaboliceffects of adiposity, notably insulin resistance;

    (b) decrease levels of proinflammatory cy-tokines (e.g., the interleukins IL-1 and IL-6,

    C-reactive protein, tumor necrosis factor

    )and the adverse effects of a systemic inflamma-

    tory response; (c) accelerate bowel transit time;

    and(d) decrease fecal bile acid levels (17, 45, 82,86, 145).

    A population-based case-control study

    conducted in Northern California, Utah, and

    Minnesota observed that 2025% of the adult

    population was physically inactive and that

    long-term high levels of vigorous activity were

    associated with a reduced risk of colon cancer

    (OR = 0.68; 95% CI = 0.520.87). The pop-

    ulation attributable risk of colon cancer due to

    lack of physical activity was estimated at 13%,

    and 4.3 cases per 100,000 population were

    preventable each year as a result of vigorous,

    leisure-time physical activity (126). Frieden-

    reich et al. (42) derived PAFs for a sedentary

    lifestyle and colon cancer incidence for 15

    European Union member countries reporting

    slightly lower estimates in women ranging

    from 6% to 11%, and in men, from 6% to 10%.

    Numerous publications have shown, when

    comparing the most active with the least ac-

    tive women, an average reduction of 2040% in

    relative risk of breast cancer in premenopausal

    and postmenopausal women. Most studies have

    shown decreasing risks in relationship to in-

    creasing duration and intensity of activity (74).

    Activity that is sustained throughout adult life,

    or performed after menopause, is probably ben-

    eficial in reducing breast cancer risk (85).

    In the IARC Working Group Report (149)

    on the avoidable causes of cancer mortality in

    France in the year 2000, physical inactivity was

    associated with a 32% increase (95% CI =

    1.061.64) in risk of breast cancer. The preva-

    lence of physical inactivity in adult women 18

    65 years of age was 34%. The PAF for physical

    inactivity and breast cancer may be estimated at

    8.6% (95% CI = 5.0%11.6%).

    ALLEVIATING THE BURDENOF CANCER IN THE UNITEDSTATES AND OTHER WESTERNCOUNTRIES

    In their 1981 publication, Doll & Peto co

    cluded that 7580% of cancer deaths in th

    United States could have been avoided. T

    overall estimates reflected uncertainties abo

    diet (PAF = 35%, range: 1070%), but wit

    out estimating attributable fractions for ob

    sity or physical inactivity, and uncertainty abo

    attributable risks for various infectious agen

    (27). Doll & Peto defined diet as all mat

    rials that occur in natural foods, are produc

    during processes of storage, cooking, and dige

    tion, or added as preservatives, or giving foo

    color, flavor or consistency (p. 1226). Our cu

    rent perspective for industrialized countries

    summarized for the United Kingdom, Franc

    and the United States (Table 3). The data sho

    contrasting estimates for the three countries.

    the review by Parkin, 14 lifestyle and enviro

    mental risk factors were responsible for 43

    of cancer cases (45% in men, 40% in wome

    and for 50% of cancer deaths in 2010.

    addition to the risk factors reviewed in det

    above, Parkin assessed four dietary factors

    low consumption of fruits and vegetables [PA

    (combined men and women) = 4.7%], r

    and processed meat consumption, low dieta

    fiber, and saltand oral contraceptives, ho

    mone replacement therapy, and reproducti

    factors.

    In their review of biologic agents, lifesty

    behavioral patterns, and physical environme

    tal factors that are established determinants

    cancer incidence and mortality, Colditz & W

    (20) concluded that 5060% of cancer deat

    and more than 60% of cancer cases in th

    United States were potentially avoidable. Sim

    ilarly in our analysis we suggest that 60%

    cancer deaths in the United States may be a

    tributable to eight risk factors. Because we m

    assume some degree of overlap in the distr

    bution of such combinations of risk factors

    tobacco and alcohol, and obesity and physic

    inactivity, our estimate of 60% may represe

    110 Schottenfeld et al.

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    Table 3 Attributable fractions for selected causes of cancer mortality in the United States and France, and cancer inc

    in the United Kingdom

    Risk factor

    Doll & Peto,

    United States,

    1970s (27)

    WHO, France,

    2000 (149)

    Parkin, United

    Kingdom, 2010

    (96)

    Schottenfeld et al., U

    States, 200020

    Tobacco

    Men

    Women

    30% (range

    2040%)

    24%

    33%

    6%

    19%

    23%

    16%

    30%

    3035%

    2025%Alcohol

    Men

    Women

    3% (range 24%) 7%

    9%

    3%

    4%

    45%

    3%

    34%

    46%

    12%

    Ionizing radiation 12%a 2% 23%

    Solar radiation 12%a 0.7% 3.5%b 12%

    Occupation

    Men

    Women

    4% (range

    2%8%)

    34%

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    SUMMARY POINTS

    1. Cancer incidence in low- and middle-income countries (LMICs) is projected to rise be-

    cause of aging and expansion of the at-risk population, increasing urbanization, and the

    persistence of exposures to HIV-related cancers, other cancer-causing biologic agents,

    various forms of tobacco, and various sources of occupational and environmental car-

    cinogenic agents.

    2. LMICs experience higher proportions of uterine cervical, oropharyngeal, esophageal,

    stomach, and liver cancers than do the industrialized countries. Lung and breast cancer

    are leading global causes of cancer mortality.

    3. The epidemiology and pathogenesis of eight lifestyle risk factors are estimated to be

    determinants of60%of cancer mortality in theUnited States.These risk factors include

    tobacco, alcohol, ionizing and solar radiations, occupations, biologic agents, obesity, and

    physical inactivity.

    DISCLOSURE STATEMENT

    The authors are not aware of any affiliations, memberships, funding, or financial holdings thmight be perceived as affecting the objectivity of this review.

    LITERATURE CITED

    1. Albert MR, Weinstock MA. 2003. Keratinocyte carcinoma. CA Cancer J. Clin. 53:292302

    2. Amis ES Jr, Butler PF, Applegate KE, Birnbaum SB, Brateman LF, et al. 2007. American College

    Radiology white paper on radiation dose in medicine. J. Am. Coll. Radiol. 4:27284

    3. Astakhova LN, Anspaugh LR, Beebe GW, Bouville A, Drozdovitch VV, et al. 1998. Chernobyl-relat

    thyroid cancer in children of Belarus: a case-control study. Radiat. Res. 150:34956

    4. Baan R, Straif K, Grosse Y, Secretan B, El Ghissassi F, et al. 2007. Carcinogenicity of alcoholic beverag

    Lancet Oncol. 8:29293

    5. Bealess PL, Farooqi IS, ORahilly S. 2009. Genetics of Obesity Syndromes. Oxford: Oxford Univ. Press6. de Berrington GA, Mahesh M, Kim KP, Bhargavan M, Lewis R, et al. 2009. Projected cancer risks fro

    computed tomographic scans performed in the United States in 2007. Arch. Intern. Med. 169:20717

    7. Berwick M. 2007. Counterpoint: Sunscreen use is a safe and effective approach to skin cancer preventio

    Cancer Epidemiol. Biomark. Prev. 16:192324

    8. Boffetta P, Hashibe M. 2006. Alcohol and cancer. Lancet Oncol. 7:14956

    9. Boffetta P, Tubiana M, Hill C, Boniol M, Aurengo A, et al. 2009. The causes of cancer in Fran

    Ann. Oncol. 20:55055

    10. Brenner DJ,Hall EJ. 2007. Computed tomographyan increasing source of radiation exposure.N. En

    J. Med. 357:227784

    11. Brenner DJ, Hricak H. 2010. Radiation exposure from medical imaging: time to regulate? JAM

    304:2089

    12. Brookmeyer R. 2010. Measuring the HIV/AIDS epidemic: approaches and challenges. Epidemiol. R32:2637

    13. Calle EE, Kaaks R. 2004. Overweight, obesity and cancer: epidemiological evidence and proposed mec

    anisms. Nat. Rev. Cancer4:57991

    14. Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. 2003. Overweight, obesity, and mortalityfro

    cancer in a prospectively studied cohort of U.S. adults. N. Engl. J. Med. 348:162538

    15. Casper C. 2011. The increasing burden of HIV-associated malignancies in resource-limited region

    Annu. Rev. Med. 62:15770

    112 Schottenfeld et al.

  • 7/27/2019 ARPH Schottenfeld Final

    17/25

    16. Chen YJ, Chen C, Wu DC, Lee CH, Wu CI, et al. 2006. Interactive effects of lifetime alcohol consump-

    tion and alcohol and aldehyde dehydrogenase polymorphisms on esophageal cancer risks. Int. J. Cancer

    119:282731

    17. Cho ER, Shin A, Kim J, Jee SH, Sung J. 2009. Leisure-time physical activity is associated with a reduced

    risk for metabolic syndrome. Ann. Epidemiol. 19:78492

    18. Clement K. 2005. Genetics of human obesity. J. Annu. Diabetol. Hotel Dieu 2005:3953

    19. Cokkinides V, Bandi P, McMahon C, Jemal A, Glynn T, Ward E. 2009. Tobacco control in the United

    Statesrecent progress and opportunities. CA Cancer J. Clin. 59:35265

    20. Colditz GA, Wei EK. 2012. Preventability of cancer: the relative contributions of biologic, and socialand physical environmental determinants of cancer mortality. Annu. Rev. Public Health 33:13756

    21. Corrao G, Bagnardi V, Zambon A, La Vecchia C. 2004. A meta-analysis of alcohol consumption and

    the risk of 15 diseases. Prev. Med. 38:61319

    22. Cress RD, Holly EA, Ahn DK, LeBoit PE, Sagebiel RW. 1995. Cutaneous melanoma in women:

    anatomic distribution in relation to sun exposure and phenotype. Cancer Epidemiol. Biomark. Prev. 4:831

    36

    23. Cummings DE, Schwartz MW. 2003. Genetics and pathophysiology of human obesity. Annu. Rev. Med.

    54:45371

    24. DanaeiG, Vander HS,Lopez AD,MurrayCJ, Ezzati M. 2005. Causes of cancer in theworld:comparative

    risk assessment of nine behavioural and environmental risk factors. Lancet366:178493

    25. Day CP. 2006. From fat to inflammation. Gastroenterology 130:20710

    26. Delongchamp RR, Mabuchi K, Yoshimoto Y, Preston DL. 1997. Cancer mortality among atomic bombsurvivors exposed in utero or as young children, October 1950May 1992. Radiat. Res. 147:38595

    27. Doll R, Peto R. 1981. The causes of cancer: quantitative estimates of avoidable risks of cancer in the

    United States today. J. Natl. Cancer Inst. 66:1191308

    28. Doll R, Peto R. 1996. Epidemiology of cancer. In Oxford Textbook of Medicine, ed. DJ Weatherall,

    JG Ledingham, DA Warrell, pp. 197222. New York: Oxford Univ. Press

    29. Doll R, Peto R. 2003. Epidemiology of cancer. In Oxford Textbook of Medicine, ed. DA Warrell, TA Cox,

    JD Firth, EJ Benz, pp. 195218. New York: Oxford Univ. Press

    30. Doll R, Peto R, Boreham J, Sutherland I. 2004. Mortality in relation to smoking: 50 years observations

    on male British doctors. Br. Med. J. 328:1519

    31. Dreyer L, Andersen A, Pukkala E. 1997. Avoidable cancers in the Nordic countries. Occupation.APMIS

    Suppl. 76:6879

    32. Druesne-Pecollo N, Tehard B, Mallet Y, Gerber M, Norat T, et al. 2009. Alcohol and genetic polymor-phisms: effect on risk of alcohol-related cancer. Lancet Oncol. 10:17380

    33. El-Serag HB. 2011. Hepatocellular carcinoma. N. Engl. J. Med. 365:111827

    34. Farooqi IS, ORahilly S. 2005. Monogenic obesity in humans. Annu. Rev. Med. 56:44358

    35. Fazel R, Krumholz HM, Wang Y, Ross JS, Chen J, et al. 2009. Exposure to low-dose ionizing radiation

    from medical imaging procedures. N. Engl. J. Med. 361:84957

    36. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. GLOBOCAN 2008: Cancer Incidence and

    Mortality Worldwide. IARC CancerBase. No. 10. Lyon, Fr.: IARC

    37. Fisher DE, James WD. 2010. Indoor tanningscience, behavior, and policy. N. Engl. J. Med. 363:9013

    38. Flegal KM, Carroll MD, Ogden CL, Curtin LR. 2010. Prevalence and trends in obesity among US

    adults, 19992008. JAMA 303:23541

    39. Foley DL, Craig JM, Morley R, Olsson CA, Dwyer T, et al.2009. Prospects for epigenetic epidemiology.

    Am. J. Epidemiol. 169:38940040. Forey B, Hamling J, Lee P, Wald N. 2009. International Smoking Statistics: A Collection of Historical Data

    from 30 Economically Developed Countries. New York: Oxford Univ. Press

    41. Friedenreich C, Norat T, Steindorf K, Boutron-Ruault MC, Pischon T, et al. 2006. Physical activity

    and risk of colon and rectal cancers: the European prospective investigation into cancer and nutrition.

    Cancer Epidemiol. Biomark. Prev. 15:2398407

    42. Friedenreich CM, Neilson HK, Lynch BM. 2010. State of the epidemiological evidence on physical

    activity and cancer prevention. Eur. J. Cancer46:2593604

    www.annualreviews.org Risk Factors and Global Cancer Burden 113

  • 7/27/2019 ARPH Schottenfeld Final

    18/25

    43. Frumkin H, Samet JM. 2001. Radon. CA Cancer J. Clin. 51:322, 33744

    44. Furlow B. 2010. Radiation dose in computed tomography. Radiol. Technol. 81:43750

    45. Giovannucci E. 2007. Metabolic syndrome, hyperinsulinemia, and colon cancer: a review. Am. J. Cl

    Nutr. 86:s83642

    46. Giovannucci E, Ascherio A, Rimm EB, Colditz GA, Stampfer MJ, Willett WC. 1995. Physical activi

    obesity, and risk for colon cancer and adenoma in men. Ann. Intern. Med. 122:32734

    47. Green A. 1992. A theory of site distribution of melanomas: Queensland, Australia. Cancer Causes Contr

    3:51316

    48. Greenberg AS, Obin MS. 2006. Obesity and the role of adipose tissue in inflammation and metabolisAm. J. Clin. Nutr. 83:S46165

    49. Gruber SB, Armstrong BK. 2006. Cutaneous and ocular melanoma. See Ref. 118, pp. 1196229

    50. Grulich AE, van Leeuwen MT, Falster MO, Vajdic CM. 2007. Incidence of cancers in people w

    HIV/AIDS compared with immunosuppressed transplant recipients: a meta-analysis. Lancet370:59

    51. Hanahan D, Weinberg RA. 2011. Hallmarks of cancer: the next generation. Cell144:64674

    52. Harley NH. 2008. Health effects of radiation and radioactive materials. In Casarett and Doulls Toxicolo

    ed. CD Klassen, pp. 105382. New York: McGraw-Hill

    53. Harley NH. 2009. Radon and lung cancer. In Environmental Toxicants, Human Exposures and Hea

    Effects, ed. M Lippmann, pp. 1089120. Hoboken, NJ: Wiley

    54. Harriss DJ, Atkinson G, Batterham A, George K, Cable NT, et al. 2009. Lifestyle factors and colorec

    cancer risk (2): a systematic review and meta-analysis of associations with leisure-time physical activi

    Colorectal Dis. 11:68970155. Hashibe M, Brennan P, Benhamou S, Castellsague X, Chen C, et al. 2007. Alcohol drinking in nev

    users of tobacco, cigarette smoking in never drinkers, and the risk of head and neck cancer: pool

    analysis in the International Head and Neck Cancer Epidemiology Consortium. J. Natl. Cancer In

    99:77789

    56. Hu HB. 2008. Genetic predictors of obesity. In Obesity Epidemiology, ed. HB Hu, pp. 43760. Oxfor

    Oxford Univ. Press

    57. IARC Monogr. Evaluation of Carcinog. Risks Hum. 2000. Ionizing Radiation, Part 1: X-Ray, Gamm

    Radiation, and Neutrons, IARC Monogr. 75. Lyon, Fr.: IARC

    58. IARC Monogr. Evaluation of Carcinog. Risks Hum. 2004. Tobacco Smoke and Involuntary Smoking. IAR

    Monogr. 83. Lyon, Fr.: IARC

    59. IARC Work. Group. 2006. The association of use of sunbeds with cutaneous melanoma and other sk

    cancers: a systematic review. Int. J. Cancer120:111622

    60. Ibrahim N, Haluska FG. 2009. Molecular pathogenesis of cutaneous melanocytic neoplasms. Annu. R

    Pathol. Mech. Dis. 4:55179

    61. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. 2011. Global cancer statistics. CA Cancer

    Clin. 61:6990

    62. Jemal A, Center MM, DeSantis C, Ward EM. 2010. Global patterns of cancer incidence and mortal

    rates and trends. Cancer Epidemiol. Biomark. Prev. 19:1893907

    63. Jemal A, Siegel R, Ward E, Murray T, Xu J, et al. 2006. Cancer statistics, 2006. CA Cancer J. Cl

    56:10630

    64. Jemal A, Siegel R, Xu J, Ward E. 2010. Cancer statistics, 2010. CA Cancer J. Clin. 60:277300

    65. Jha P. 2009. Avoidable global cancer deaths and total deaths from smoking. Nat. Rev. Cancer9:6556

    66. Jha P, Ranson MK, Nguyen SN, Yach D. 2002. Estimates of global and regional smoking prevalence

    1995, by age and sex. Am. J. Public Health 92:10026

    67. Johnson DA, Helft PR, Rex DK. 2009. CT and radiation-related cancer risktime for a paradigm shiNat. Rev. Gastroenterol. Hepatol. 6:73840

    68. Kanavos P. 2006. The rising burden of cancer in the developing world.Ann. Oncol. 17(Suppl. 8):viii15

    69. Karagas MR, Weinstock M, Nelson HH. 2006. Keratinocyte carcinomas (basal cell and squamous c

    carcinomas of the skin). See Ref. 118, pp. 123050

    70. Kershaw EE, Flier JS. 2004. Adipose tissue as an endocrine organ. J. Clin. Endocrinol. Metab. 89:2548

    71. Kuczmarski RJ, Flegal KM. 2000. Criteria for definition of overweight in transition: background a

    recommendations for the United States. Am. J. Clin. Nutr. 72:107481

    114 Schottenfeld et al.

  • 7/27/2019 ARPH Schottenfeld Final

    19/25

    72. Larsson SC, Rutegard J, Bergkvist L, Wolk A. 2006. Physical activity, obesity, and risk of colon and

    rectal cancer in a cohort of Swedish men. Eur. J. Cancer42:259097

    73. Lazovich D, Vogel RI, Berwick M, Weinstock MA, Anderson KE, Warshaw EM. 2010. Indoor tanning

    and risk of melanoma: a case-control study in a highly exposed population. Cancer Epidemiol. Biomark.

    Prev. 19:155768

    74. Lee I-M, Oguma Y. 2006. Physical activity. See Ref. 118, pp. 44967

    75. Lee IM, Paffenbarger RS Jr, Hsieh C. 1991. Physical activity and risk of developing colorectal cancer

    among college alumni. J. Natl. Cancer Inst. 83:132429

    76. Levin ML. 1953. The occurrence of lung cancer in man. Acta Union Int. Contra Cancrum 9:5314177. Lindor NM, McMaster ML, Lindor CJ, Greene MH. 2008. Concise handbook of familial cancer sus-

    ceptibility. 2nd ed. J. Natl. Cancer Inst. Monogr. 2008(38):193

    78. Lobstein T. 2000. Prevalence and trends in childhood obesity. In Obesity Epidemiology: From Etiology to

    Public Health, ed. D Crawford, RW Jeffrey, K Ball, J Brug, pp. 316. New York: Oxford Univ. Press

    79. Lubin JH, Boice JD Jr. 1997. Lung cancer risk from residential radon: meta-analysis of eight epidemio-

    logic studies. J. Natl. Cancer Inst. 89:4957

    80. Lubin JH, Boice JD Jr, Edling C, Hornung RW, Howe G, et al. 1994. Lung Cancer Following Radon

    Exposure Among Underground Miners: A Joint Analysis of 11 Studies. Rep. NIH Publ. No. 943644.

    Washington, DC: US GPO

    81. Ly KN, Xing J, Klevens RM, Jiles RB, Ward JW, Holmberg SD. 2012. The increasing burden of

    mortality from viral hepatitis in the United States between 1999 and 2007. Ann. Intern. Med. 156:27178

    82. Lynch BM. 2010. Sedentary behavior and cancer: a systematic review of the literature and proposedbiological mechanisms. Cancer Epidemiol. Biomark. Prev. 19:2691709

    83. Martinez ME, Giovannucci E, Spiegelman D, Hunter DJ, Willett WC, Colditz GA. 1997. Leisure-time

    physical activity, body size, and colon cancer in women. Nurses Health Study Research Group. J. Natl.

    Cancer Inst. 89:94855

    84. McCormack VA, Boffetta P. 2011. Todays lifestyles, tomorrows cancers: trends in lifestyle risk factors

    for cancer in low- and middle-income countries. Ann. Oncol. 22:234957

    85. McTiernan A, Kooperberg C, White E, Wilcox S, Coates R, et al. 2003. Recreational physical activity

    and the risk of breast cancer in postmenopausal women: the Womens Health Initiative Cohort Study.

    JAMA 290:133136

    86. McTiernan A, Ulrich C, Slate S, Potter J. 1998. Physical activity and cancer etiology: associations and

    mechanisms. Cancer Causes Control9:487509

    87. Mellstedt H. 2006. Cancer initiatives in developing countries. Ann. Oncol. 17(Suppl. 8):viii243188. Menzler S, Piller G, Gruson M, Rosario AS, Wichmann HE, Kreienbrock L. 2008. Population at-

    tributable fraction for lung cancer due to residential radon in Switzerland and Germany. Health Phys.

    95:17989

    89. Morgenstern H. 2008. Attributable fractions. In Encyclopedia of Epidemiology, ed. S Boslaugh, pp. 5563.

    Thousand Oaks, CA: Sage

    90. Muir CS, Nectoux J. 1982. International patterns of cancer. In Cancer Epidemiology and Prevention, ed.

    D Schottenfeld, JF Fraumeni Jr, pp. 11937. Philadelphia, PA: WB Saunders. 1st ed.

    91. Natl. Counc. Radiat. Prot. Meas. 2009. Ionizing Radiation Exposure of the Population of the U.S.: Recom-

    mendations of the NCRP&M Rep. 160. Bethesda, MD: Natl. Counc. Radiat. Prot. Meas.

    92. Natl. Res. Counc. 1986. Environmental Tobacco Smoke. Washington, DC: Natl. Acad. Press

    93. Natl. Res. Counc. 1999. Health Effects of Exposure to Radon. Biological Effects of Ionizing Radiation (BEIR)

    VI. Washington, DC: Natl. Acad. Press94. Palipudi KM, Gupta PC, Sinha DN, Andes LJ, Asma S, McAfee T. 2012. Social determinants of health

    and tobacco use in thirteen low and middle income countries: evidence from Global Adult Tobacco

    Survey. PLoS One 7:e33466

    95. Parkin DM. 2006. The global health burden of infection-associated cancers in the year 2002. Int. J.

    Cancer118:303044

    96. Parkin DM. 2011. 1. The fraction of cancer attributable to lifestyle and environmental factors in the UK

    in 2010. Br. J. Cancer105(Suppl. 2):S25

    www.annualreviews.org Risk Factors and Global Cancer Burden 115

  • 7/27/2019 ARPH Schottenfeld Final

    20/25

    97. Parkin DM. 2011. 2. Tobacco-attributable cancer burden in the UK in 2010. Br. J. Cancer105(Sup

    2):S613

    98. Parkin DM. 2011. 11. Cancers attributable to infection in the UK in 2010. Br. J. Cancer 105(Sup

    2):S4956

    99. Parkin DM, Boyd L, Walker LC. 2011. 16. The fraction of cancer attributable to lifestyle and enviro

    mental factors in the UK in 2010. Br. J. Cancer105(Suppl. 2):S7781

    100. Pischon T, Nothlings U, Boeing H. 2008. Obesity and cancer. Proc. Nutr. Soc. 67:12845

    101. Polednak AP. 2008. Estimating the number of U.S. incident cancers attributable to obesity and t

    impact on temporal trends in incidence rates for obesity-related cancers. Cancer Detect. Prev. 32:190102. Pomp D, Nehrenberg D, Estrada-Smith D. 2008. Complex genetics of obesity in mouse models. Ann

    Rev. Nutr. 28:33145

    103. Poschl G, Seitz HK. 2004. Alcohol and cancer. Alcohol39:15565

    104. Powles T, Robinson D, Stebbing J, Shamash J, Nelson M, et al. 2009. Highlyactiveantiretroviral thera

    and the incidence of non-AIDS-defining cancers in people with HIV infection. J. Clin. Oncol. 27:884

    105. Preston DL, Kusumi S, Tomonaga M, Izumi S, Ron E, et al. 1994. Cancer incidence in atomic bom

    survivors. Part III. Leukemia, lymphoma and multiple myeloma, 19501987. Radiat. Res. 137:S6897

    106. Reis JP, Araneta MR, Wingard DL, Macera CA, Lindsay SP, Marshall SJ. 2009. Overall obesity an

    abdominal adiposity as predictors of mortality in U.S. White and black adults.Ann. Epidemiol. 19:134

    107. Renehan AG, Soerjomataram I, Leitzmann MF. 2010. Interpreting the epidemiological evidence linki

    obesity and cancer: a framework for population-attributable risk estimations in Europe. Eur. J. Can

    46:258192108. Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. 2008. Body-mass index and incidence

    cancer: a systematic review and meta-analysis of prospective observational studies. Lancet371:56978

    109. Roberts DL, Dive C, Renehan AG. 2010. Biological mechanisms linking obesity and cancer risk: n

    perspectives. Annu. Rev. Med. 61:30116

    110. Rockhill B, Newman B, Weinberg C. 1998. Use and misuse of population attributable fractions. Am

    Public Health 88:1519

    111. Rosso S, Zanetti R, Pippione M, Sancho-Garnier H. 1998. Parallel risk assessment of melanoma a

    basal cell carcinoma: skin characteristics and sun exposure. Melanoma Res. 8:57383

    112. Rowland RE, Stehney AF, Lucas HF Jr. 1978. Dose-response relationships for female radium d

    workers. Radiat. Res. 76:36883

    113. Rushton L, Bagga S, Bevan R, Brown TP, Cherrie JW, et al. 2010. Occupation and cancer in Brita

    Br. J. Cancer102:142837114. Sachs RK, Brenner DJ. 2005. Solid tumor risks after high doses of ionizing radiation. Proc. Natl. Aca

    Sci. USA 102:1304045

    115. Samad AK, Taylor RS, Marshall T, Chapman MA. 2005. A meta-analysis of the association of physi

    activity with reduced risk of colorectal cancer. Colorectal Dis. 7:20413

    116. Schottenfeld D, Beebe-Dimmer J. 2006. Alleviating the burden of cancer: a perspective on advanc

    challenges, and future directions. Cancer Epidemiol. Biomark. Prev. 15:204955

    117. Schottenfeld D, Beebe-Dimmer J. 2006. Chronic inflammation: a common and important factor in t

    pathogenesis of neoplasia. CA Cancer J. Clin. 56:6983

    118. Schottenfeld D, Fraumeni JF Jr. 2006. Cancer Epidemiology and Prevention. New York: Oxford Un

    Press. 3rd ed.

    119. Schulman JM,Fisher DE.2009.Indoor ultraviolet tanning andskincancer: healthrisksand opportuniti

    Curr. Opin. Oncol. 21:14449120. Secretan B, Straif K, Baan R, Grosse Y, El Ghissassi F, et al. 2009. A review of human carcinogens. P

    E: tobacco, areca nut, alcohol, coal smoke, and salted fish. Lancet Oncol. 10:103334

    121. Seitz HK, Stickel F, Homann N. 2004. Pathogenetic mechanisms of upper aerodigestive tract cancer

    alcoholics. Int. J. Cancer108:48387

    122. Sharma S, Kelly TK, Jones PA. 2010. Epigenetics in cancer. Carcinogenesis31:2736

    123. Siemiatycki J, Richardson L, Straif K, Latreille B, Lakhani R, et al. 2004. Listing occupational carcin

    gens. Environ. Health Perspect. 112:144759

    116 Schottenfeld et al.

  • 7/27/2019 ARPH Schottenfeld Final

    21/25

    124. Silverberg E. 1980. Cancer statistics, 1980. CA Cancer J. Clin. 30:2338125. Simard EP, Ward EM, Siegel R, Jemal A. 2012. Cancers with increasing incidence trends in the United

    States: 1999 through 2008. CA Cancer J. Clin. 62:11828126. Slattery ML, Edwards SL, Ma KN, Friedman GD, Potter JD. 1997. Physical activity and colon cancer:

    a public health perspective. Ann. Epidemiol. 7:13745127. Smith-Bindman R. 2010. Is computed tomography safe? N. Engl. J. Med. 363:14128. Srikanthan P, Seeman TE, Karlamangla AS. 2009. Waist-hip-ratio as a predictor of all-cause mortality

    in high-functioning older adults. Ann. Epidemiol. 19:72431129. Steenland K, Burnett C, Lalich N, Ward E, Hurrell J. 2003. Dying for work: the magnitude of US

    mortality from selected causes of death associated with occupation. Am. J. Ind. Med. 43:46182130. The NS, Suchindran C, North KE, Popkin BM, Gordon-Larsen P. 2010. Association of adolescent

    obesity with risk of severe obesity in adulthood. JAMA 304:204247131. Thun MJ, Day-Lally C, Myers DG, Calle EE, Flanders WD, et al. 1997. Trends in tobacco smoking

    and mortality from cigarette use in Cancer Prevention Studies I (19591965) and II (19821988). In

    Smoking and Tobacco Control: Change in Cigarette-Related Disease Risks and Implication for Prevention and

    Control, ed. DM Burns, I Garfinkel, JM Samet, pp. 30582. Bethesda, MD: Natl. Cancer Inst. Monogr.

    8, NIH Publ. No. 974213132. Thune I, Furberg AS. 2001. Physical activity and cancer risk: dose-response and cancer, all sites and

    site-specific. Med. Sci. Sports Exerc. 33:S53050133. Thune I, Lund E. 1996. Physical activity and risk of colorectal cancer in men and women. Br. J. Cancer

    73:113440

    134. Tucker MA. 2009. Melanoma epidemiology. Hematol. Oncol. Clin. North Am. 23:38395, vii135. UN. 2008. United Nations Scientific Committee on the Effects of Ionizing Radiation. 2006 Report to the General

    Assembly. New York: UN136. van der Pols JC, Williams GM, Pandeya N, Logan V, Green AC. 2006. Prolonged prevention of squa-

    mous cell carcinoma of the skin by regular sunscreen use. Cancer Epidemiol. Biomark. Prev. 15:254648137. van Kruijsdijk RC, van der Wall E, Visseren FL. 2009. Obesity and cancer: the role of dysfunctional

    adipose tissue. Cancer Epidemiol. Biomark. Prev. 18:256978138. Vineis P, Xun W. 2009. The emerging epidemic of environmental cancers in developing countries. Ann.

    Oncol. 20:20512139. Voelz GL, Lawrence JN, Johnson ER. 1997. Fifty years of plutonium exposure to the Manhattan Project

    plutonium workers: an update. Health Phys. 73:61119140. Waki H, Tontonoz P. 2007. Endocrine functions of adipose tissue. Annu. Rev. Pathol. Mech. Dis. 2:3156141. Walker N, Grassly NC, Garnett GP, Stanecki KA, Ghys PD. 2004. Estimating the global burden of

    HIV/AIDS: What do we really know about the HIV pandemic? Lancet363:218085142. Waterhouse J, Muir CS, Correa P, Powell J, eds. 1976. Cancer Incidence in Five Continents, Vol. III. Lyon,

    Fr: IARC Sci. Publ. 15143. Wei EK, Colditz GA, Giovannucci EL, Fuchs CS, Rosner BA. 2009. Cumulative risk of colon cancer

    up to age 70 years by risk factor status using data from the Nurses Health Study. Am. J. Epidemiol.

    170:86372144. Weiss HA,DarbySC, Doll R. 1994. Cancer mortalityfollowingX-ray treatmentfor ankylosing spondyli-

    tis. Int. J. Cancer59:32738145. Wertheim BC, Martinez ME, Ashbeck EL, Roe DJ, Jacobs ET, et al. 2009. Physical activity as a deter-

    minant of fecal bile acid levels. Cancer Epidemiol. Biomark. Prev. 18:159198146. Wolin KY, Yan Y, Colditz GA, Lee IM. 2009. Physical activity and colon cancer prevention: a meta-

    analysis. Br. J. Cancer100:61116

    147. World Cancer Res. Fund/Am. Inst. Cancer Res. 2009. Policy and Action for Cancer Prevention: Food,Nutrition, and Physical Activity: A Global Perspective. Washington, DC: Am. Inst. Cancer Res.

    148. World Health Organ. (WHO). 2000. World Health Organization: Obesity: Preventing and Managing the

    Global Epidemic. WHO Tech. Rep. Ser. 894. Geneva, Switz.: WHO149. World Health Organ. (WHO). 2007. Attributable Causes of Cancer in France in the Year 2000. Lyon, Fr.:

    IARC150. Zhang C, Rexrode KM, van Dam RM, Li TY, Hu FB. 2008. Abdominal obesity and the risk of all-cause,

    cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation 117:165867

    www.annualreviews.org Risk Factors and Global Cancer Burden 117

  • 7/27/2019 ARPH Schottenfeld Final

    22/25

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    Causal Inference in Public Health

    Thomas A. Glass, Steven N. Goodman, Miguel A. Hernan,

    and Jonathan M. Samet p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p

    Current Evidence on Healthy Eating

    Walter C. Willett and Meir J. Stampfer p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p

    Current Perspective on the Global and United States Cancer Burden

    Attributable to Lifestyle and Environmental Risk Factors

    David Schottenfeld, Jennifer L. Beebe-Dimmer, Patricia A. Buffler,

    and Gilbert S. Omenn p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p

    viii

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    The Epidemiology of Depression Across Cultures

    Ronald C. Kessler and Evelyn J. Bromet p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p