Philip Morris
The Dorn Study of Smoking and Mortality Among U.S. Veterans: Report on Eight and One-Half Years of Observation
Fields
- Author
- Kahn, H.A.
- Type
- PSCI, PUBLICATION SCIENTIFIC
- BIBL, BIBLIOGRAPHY
- Area
- CORPORATE SECRETARY/FILE ROOM
- Document File
- 2083038080/2083038651/Smoking & Health Scientific Research 600000 to 690000 Published Literature Charles R. Wall Shb, 961000
- Litigation
- Feda/Produced
- Characteristic
- EXTR, EXTRA
- MISS, MISSING PAGES
- Site
- N2
- Named Organization
- Biometrics Research Branch
- Computation + Data Processing Branch
- Hew, Dept of Health Education and Welfare
- Natl Heart Inst
- NIH, Natl Inst of Health
- Public Health Service
- Veterans Administration
- Author (Organization)
- Biometrics Research Branch
- Natl Cancer Inst Monograph No 19
- Natl Heart Inst
- Named Person
- Carter, B.L.
- Fanfani, M.
- Gillian, J.W.
- H, J.A.
- Knott, G.D.
- Kowalowski, P.
- Liski, F.
- Maxwell, J.E.
- Truett, J.T.
- Master ID
- 2083038081/8650
- 2083038081-8650 Smoking & Health Scientific Research 600000 to 690000 Published Literature Copy 1 of 5
- 2083038087-8094 The Pathologic Effects of Smoking Tobacco on the Trachea and Bronchial Mucosa
- 2083038096-8120 A Study of Etiological Factors in Cancer of the Esophagus
- 2083038122-8143 Smoking and Health Summary and Report of the Royal College of Physicians of London on Smoking in Relation to Cancer of the Lung and Other Diseases
- 2083038145-8164 An Epidemiological Investigation of Cancer of the Bladder
- 2083038166-8175 Smoking Habits and Age in Relation to Pulmonary Changes
- 2083038176 Smoking Habits and Age in Relation to Pulmonary Changes: Rupture of Alveolar Septums, Fibrosis and Thickening of Walls of Small Arteries and Arterioles
- 2083038178-8188 Polluted Urban Air and Related Environmental Factors in the Pathogenesis of Pulmonary Cancer
- 2083038190-8225 Lung-Cancer Mortality As Related to Residence and Smoking Histories. II. White Females
- 2083038227-8238 Mortality in Relation to Smoking: Ten Years' Observations of British Doctors
- 2083038240-8247 Mortality in Relation to Smoking: Ten Years' Observations of British Doctors
- 2083038249-8258 Evidence on the Effects of Giving Up Cigarette Smoking
- 2083038260-8263 Cigarette Smoking and Cancer of the Bladder
- 2083038388 The Dorn Study of Smoking and Mortality Among U.S. Veterans: Report on Eight and One-Half Years of Observation
- 2083038390-8400 The III Effects of Cigarette Smoking in Dogs
- 2083038402-8479 Smoking in Relation to the Death Rates of One Million Men and Women
- 2083038481-8544 Mortality of British Doctors in Relation to Smoking: Observations on Coronary Thrombosis
- 2083038546-8570 Carcinogenic Action of Cigarette Smoke Condensate on Mouse Skin
- 2083038572-8581 A Method for the Experimental Induction of Bronchogenic Carcinoma
- 2083038583-8589 Asbestos Exposure, Smoking and Neoplasia
- 2083038591-8593 Epidemiologic Studies on Carcinoma of the Kidney
- 2083038595-8602 Risks of Lung Cancer in Smokers Who Switch to Filter Cigarettes
- 2083038604-8612 Carcinogenic Response of the Respiratory Tract of Syrian Golden Hamsters to Different Doses of Diethylnitrosamine
- 2083038614-8618 Lung Cancer in Women
- 2083038620-8637 Coronary Heart Disease, Stroke, and Aortic Aneurysm
- 2083038639-8650 Life Expectancy of American Men in Relation to Their Smoking Habits
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9
The Dore Study of SmoWns and Mortality
Among U.S. Veterans: Report on ptht and
Ora-Half Years of Obserration
HASotn A. SAaN! Bimaebiu Eesearoh Branch,
Naticnal Heart bulitndc, Bceheadc, Maryland
INITIATED by Dorn in 1954, the study of a
group of U.S. vetarans was one of the fint three large prospective inves-
tigationa undertaken to describe in detail the relationships between
tobacco use and mortality experience. Two features made this study of
special interest. One was the precise definition of the population, which
permitted identification and follow-up of both respondents and non-
'respondents, and the other was its size. The Doll and Hill (6) study of
British physicians, began in 1951, was based on a de6ned population of
59,600 men and women. The Hammond and Horn (1d) study of 188,000
men, begun in 1952, was large in scale, but lacimd Ibedement of population
definition. The Dorn study was concerned with.a defiued population of
over 293,000 holders of life insuraace policies.
The study population and plan have been set forth in d.taII in two
publications (7, 8). Some major features are summari+ed below. With
the cooperation of the Veterans Administmqtion, policyholders of U.S.
Government Life Insurance were selected for study. This insurance
was available to persona who served in the Ermed forces of the United
States from 1917 to 1940. Most of the policyholders were veterans of
World War I; the remainder entered military service at a later date.
The cohort comprised 293,658 persons who held active U.S. Government
Life Insurance policies in December 1953. Beginning in January 1954,
questionnaires on smolong habits (appec .d~a ~E) were mailed to these
policyholders, with 198,834 (68%) respondini. Beginaiag in January
1957, a second questionnaire, essentially iden6caT to the first except for
typography, was mailed to those not responding in 1954, which elicited
~ Nwew rmarew erH..nn. raeue 8wsh s.r,id, Us. Ds.em.eea a~.rn sdoo.eten..ee w.u.,..
~TaY 1Ndr ~r m.d~ p~~y tlteu:h tb mepeRt:m ~Ld tllbdDeo o! t!~ vMAS ~dm~"^`w"`
~1tr. r.m~r w. omlo ond D4. hec Lbtl at Wo CompuWles ane DW ~ 1eym4. N.tlena m.tl
Wrefgritp,~ +NPomtDYb'°'^"l"i^'N.OatlnD~urdnead,brm, nf7~ Ye.7anA.HaF
..v, xr. a,n n. Tmu..m )o. r,d zu.w..e at w. x.Mmu tmtlma et S.Irn cmroowm .od
DW haaetlat BtmcC.in eoopuftle¢ w1Lh )Sn. Awne?.1YOtt ott0o N.ew.i8rtt Imtlmv Dlom.t4n
3meE. t=Lpd tW rr¢ehooY epopu ta bDehtlom la:e 1~~. pR eom..Yetly Soe.dma. ud tb.
edl R'odoet. Hn. Dotty L. CzGr md Md.laphta S.I[nwC manood tho osmpki etrtst poadoxem
npaYtlfntEoaa6ramo.t.cdYn. Dhq r.ohnl prortdodLeti SaMMandem1lodq lieedlegotmme.Lt7
rb.
1
0

w
2
49,361 additional replies, raising the response rate to 85 percent. AIl
smolring classificatdons used in this report are taken directly from infor-
mation supplied in these questionnaires.
CHASACTEBISTICS OF THE POLICYHOLDERS
Almost all policyholders were white malee. Less than ha8 of i percent
were females, and only a negligible numberwere nonwhite males. Eighty-
two percent wera white-collar or stilled workers, 7 percent were semi-
skilled or umldlled workers, and 6 percent were farmers or farm laborers.
Roughly comparable perceatages for U.S. white males aged 20 to 54 years
as of the 1950 Census were 50, 35, and.13, respectively (19). Clearly,
semieloDed and unelclled workers were underrepreeented in the study
population; such selection is found in the e=perience of all insurance
companies writing whole-life or endowment policies.
,Since the policyholders were drawn mainly from the middle and npper
socioeconomic cLaeee, it could be anticipated that their death rate from
all causee.during the period of observation would be lees than that for
. the general white male population (SL, 2J). Mortality in the_ptudy
population age 55 to 84 (respondents and nonmpondente) expreised as
a proportion of the mortality for U.S. white males of like age compbsition
was 0.75 for the interval July 1954 to June 1957, 0.73 (July 1957-Decem-
ber 1960), and 0.67 (196142). An estimate of the number of death
reports for 1981-82 not received until after the cutoff date for the present
tabulations suggests that the true figure for the 1961-62 period is closer
to 0.71. Pending the receipt of more complete data on deaths it seems
reasonable to estimate the mortality of the population of insured veterans
during the initia18J4 years of observation as about 0.73 of the correspond-
iag U.S. rate. Judgments on the presence of a real and sustained im-
provement in mortality over time among policyholders relative to the
US. white male population should be deferred until sufficient time has
elapsed to ensure that all delayed death notifications for the more recent
years have been received.
. FOLLOVO-UP
Additional follow-up procedures over and above the normal Veterans
Adminiatration routine were required which were carried out by the staff
at the National Institutes of Health. Whenever a claim is filed for the
'psyment of a policy, a copy of the death certificate is routinely sent by
the Veterans Adminietration to the NIB study office. Annually the
Ot$ce of the Chief Actuary in the Veterans Administration also provides
a deelc of punch cards for each policy terminated during the year, indicat-
ing whether termination was due to death or other reasons. The cards
for policies terminated by death serve as a checlc on the completeness
NATIONAL CLNCIIt rNaT1TOTZ IlONOn86PH NO. 19

Il
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for
dy
as
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an6
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_ M"
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-ent
T2M DOEN STUDY OF eYOlrNO ItPD MORTALITY
.8
of reporting of deaths. Records without death certificates are traced
through appropriate VA offices and the missing data ultimately obtained.
-Veterans may, of course, have more than one U.S. Oovezament Life
Insurance policy and, when a notice of policy termination for reasons
other than death is received, a check is made to determine whether the
individual has any remaining active policies. If not, the record is traus-
ferred to a specialfAe for "terminations" and periodically the Veterans
Sdministration Index Section is asked to report whether these indi-
viduals are still living. If not, a letter, requeeting a copy of the death
certificate, is then written to the VA office having custody of the records.
Termination of insurance means an automatic notification procedure
for reporting death has been lost, but the VA has so many other pointa
of contact with beneficiaries (including payments to defray funeral ex-
peaeee) that mortality follow-up on "terminations" is considered to be
quite sati.sfactory for inclusion in this study. Although very good, it
would be unrealistic to assume that mortality reporting on "terminations"
is as complete as for active policyholders. Therefore, it is of interest
to investigate whether the termination rates are the same for smokers
and nonsmokers and this point will be considered in a later eection. All
mortality follow-up procedures apply identically to re.pondents and
nonreepondente, so that the study findings can be related to the insurance
policyholders as defined and need not be restricted to the subgroup who
answered the smoking questionnaire.
When a death certificate ie received, additional medical information
including verification of statements on causes of death is requested from
the certifying physician or the hospital where death occurred. The data
reported here reflect the composite information available from the query
and the original death certification. In about 6 percent of the deaths
the query led to a change in assignment of the underlying cause, and in
another 12 petoent information on contributory causes not mentioned
in the original certification was added, though the underlying cause re-
mained unchanged. The underlying reason and as many as two addi-
tional contributory causes were routinely coded for all deaths.
METHOD OF ANALYSIS
-ans
3taff
the
t by
the
ides
icat-
srds
mes+
The available data were summarized into the number of deaths, 4,
and the number of pereon-years of observation, y at each single year of
age from 35 to 84. Person-years were accumulated by attained age and
woi by a fixed age determined for each individual as of the start of the
study. The ratio d,(y, provides an estimate of the average annual force
of mortality at age z, µ, _+~ µ,dt. Person-yean are terminated in the
.
middle of the month of death and the values of d,Jy, could exceed unity at
the oldest ages. The actuarial formula relating force of mortality and
probabHity of death within the period z to z+ 1 can be written as
STIIDT OT CLDiCEB AND OTHES CERONIC DmEAa13
.

i
4 uMr .
q. ~ 1-e1p-~+, µdt (ISJ
,
and the estimated annual probability of death at age x, q computed from
t~he equation The q, values for individual yeus of age for the different emoking classes
were calculated in this manner and then averaged into 10-year age groups
35 to 44, 45 to 54, 55 to 64, 65 to 74, and 75 to 84, with the 1960 divtribu-
tion of the U.S. male population by single years, within the corresponding
10-year age group, used as weights. The study population is such that
ages 55 to 84 represent about 98 percent of the deaths and about 85 per-
cent of the person yeare. Therefore, several of the tables dealing with
detailed smoking categories omit age-specific data for ages under 55.
In addition to the age-specific probabilities, a mortality ratio of the
number of observed to expected deaths was computed for each smoking
category. The expected number of deaths for each smoking category was
computed as the product of the person-years of observation at age z in
that category by the force of mortality at age z for those who never smoked,
summed over ages 35 to 84 inclusive. This is equivalent to stating bow
- many would have died in a subgroup of smokers if the force of mortbi'ity
observed among nonsmokers prevailed. The force of mortality, p,;:pen
' used rather than the probability of death, q to ensure that the e:pected
number of deaths for nonsmokers would exactly equal the observed
number. Throughout this report the terms "nonsmoker" or "never
smoked" are to be understood asincluding persons who have never been
regular smoke,s but who may have smoked occasionally.
The mortality ratio is a relative indirect age-adjusted rate and as such
is a function of the age structure of the smoking category being adjusted.
For this reason it is technically incorrect, though the practical effect is
often negligible, to compare directly the mortality ratio for smoking
category A with that for another smoking category B, since the differing
age structures of A and B are. not controlled in this comparison. Of
course, all mortality ratios are comparable to the base experience for non-
mnoketa which is defined to be 1.00. The mortality ratio is a convenient
summary index, but wherever its use leads to a different inference than
that derived from a direct ratio of age-specific rates, the latter is always
to be preferred, subject only to the limitations of larger sampling errors
associated with smaller subsets of the data.
Because of the large number of deaths (6,932) and person-years of
observation (443,856) available to estimate the force of mortality for
nonsmokers, all references to sampling variability of mortality ratios in-
corporate the simplifying assumption that the expected number of deaths
was determined with so little error that sampling variability of the latter
can be ignored. Given this assumption, the variability of any mortality
ratio depends solely on the random sampling arror in the observed
NATIONAL CINClB IH6ZTrOTD YONOOBLPS NO. 2e

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__ras aoa.N aTVns o) e11OZIIrc AND HOST.tL31T
number of deaths. Unless otherarise apecified, all taeta of aignificance are
at tSe 1 percent level.
PRESENT REPORT
The preaent report indudes all deaths lmown to us, ages 35 to 84 inclu-
aive, occurriag from July 1954 through December 1962. Table 1 dis-
tributes the 46,270 deaths and the 2,265,674 pe:son years observed during
this period by age and respondent status. The second questionnaire to
nonreapondente in 1954 was malled in January 1957 and for the next
several months, while replies were being received, the probability of re-
sponee was strongly associated with current health. In order not to
exaggerate any differences in mortality between respondents and non-
respondents, July 1957 was chosen as the date for transferring individuals
from nonrespondent to 1957 respondent status. Thus, someone who
answered the second questionnaire in March 1957 and died in May 1957
was treated entirely as a nonrespondent. A person who replied in March
1957 and died in August 1957 was counted as a nonrespondentfrom July ,_.
1954 through June 1957 and as a 1957 respondent thereafter, and his death =: .
counted in the 1957 respondent category.
Tuca 1.=Dietribution of deaths and peno7~ observation by attained a'e'
. and response etatue, ]d 19 .
Respondents
Total I 12"
1957
Deaths
Non.epogdent.
Number
Percent
of grand
total
. 35-84 46, 270 35,691 29,731 5,960 10,579 219
35-44. 559 389 302 87 170 30.4
45-84 ' 532 374 322 52 158 29.7
55-84 19,523 14,414 12 528 1, 686 5,109 2& 2
65-74 23.107 18,454 14,877 2,577 4,653 20.1
75-84 ' 2, 549 2, 960 1,702 358 489 19.2
Percent of death. witb in-
oq
b~~oa on
m
n
~
b
e
o
Ic
8
ba
i 4. 6 4.9 2.6
. Petwn-ycara
85-84 2,265, 674 1,801,119 1,547.905 253,313 44555 20.5
: aa-44 251,122 193,725 159,661 34.064 57,397 22.9
45-54 ' 37,985 70,787 60,099 10, 688 17,195 19.6
55-64 1,124, 385 888, 546 776,187 92, 359 255,839 22,8
65-74 765,033 637,082 625, 878 111,405 128,951 16.8
75-84 ~ 3& 249 30,979 26,182 4,707 5,270 14.5
Percent of penon-yeaa
with Inadequate in(orma-
tlon on .mohing babite. 4.6 4 9 2.7
tT4D: or CaNCLa 1ND OTHiCS cBaoNIC aIS7JSEe

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MAJOR RESULTS FROM INITIAL PERIOD (2K YEARS)
_ COMPARED WITH EXTENDED PERIOD (83i YEARS)
Dorn reported the findings from the initial 2!f years of observation
(7, 8). Data from this study have also been extensively cited ia Smoking
and Heafth (H).
Te=t-figure 1 presents an ova-all comparison of mortality ratios for
all causes of death by amokiag category for the two time periods. For
each elaae of smokers (escept for one pipe-smoking category) the mor-
tality ratios based on the total observation period were larger than those
derived on first review and andysis. We will return to this point in some
detail in a later section dealing with possible extent of selection biee, but
some comments aeem appropriate here. There are two major differences
between the study periods. Covarage of penone in the fuat 2y, yeais wee
limited to those who answered the 1954 questionnaire. The 8)6-year
period includes data for both 1954 and 1957 respondents. In the earlier
reports, observation was terminated on persons who no longer held active
insurance policies, but the data for the 8% years include both person-years
and deaths eIperienced after termination dates. Despite these and other
_ differences to be discussed under the heading Selection Bias, the corres-
s
i i
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Tsza~aoaa. 1.-ComperLon of mortality ratias for aII eaew of dntb by smokfn8
eet.8otr-2)S- and 8ylrY+ar followap.
NATlONA7. CA1(CZE rP8T1TOTf llONOOB'J!8 NO. 10

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pondence in mortality ratios based on the preliminary and extended obser-
ntion perioda is striking and impressive. Thus, both sets of results show
a strong positive gradient with number of cigarettes smoked, a negative
gradient with age began smoking, lower mortality ratios for ez-cigarette
smokers than for current smokers, and much lower mortality ratios for
cigar and pipe amokers than for cigarette smokers.
Tett-figure 2 contrasts the two periods with respect to mortality ratios
for selected causes of death. They were chosen for iilustration from the
disease with the strongest association with smoking history (lung oancer),
- a disease with no risk gradient by amount smoked (cancer of inte®tiness
and rectum), the disease with the largest number of "excess" deaths
associated with smoking history (coronery heart disease), and the disease
with the smallest mortality ratio (paralysis agitans). The estimated
ratios from the 8% yean tend to run somewhat higher, but the structure
of relationships is again very consistent. All the original findings have
been confirmed by more extended observation.
Test-figuie 3 compares annual death ratee for the 2)4-year period with
the annual probabilities of death calculated for the 8//ryear period.
At the observed level of mortality experience, the two techniques for meaa-
CWSF Of OFiTN !NO fYOYMT fYOR[0 I 2% ri.r
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eOeTLLITi ILLTW
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Tszanavsa 2-Comparison of mortility raNw for seketed ames of deatL (includes
md.rlrtna or contributory au2e) among mrf.nt smskms of olprettem enlT-2yr
and fyr7ear follow-up.
a1Rn7 oF CANCLn AnD oT8£fi C88o2PIO an1L6i9
1a2-e71_

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s.cnpi ai[w.r Lln wc illaM/ M ONNiN,I 0e,
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wN/l wNN r rl/N m/,
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e) 4NrM ViNA Nal k/Nr y, r/n N et Iitl,iMli.s r/1. YW 0.A ticb p/rYiY M 1244.
Tsianavas 3.-Comparison of annual death rate per 1,000 (2y4~year follos-up)
with the annuai probability of death per 1,0D0 (8+year follow-up). All caeeeo of
death by smoking category for agn bb-ed and 66-74.
uring risk are essentially equivalent and any understatement in the prob-
ability of death in relation to the death rate is unlikely to exceed 2 percent.
The measures of mortality for cigarette smokers are almost identical for
both periods, and no striking differenoev can be discerned for the cigar
and pipe categories. The more extensive observations yield somewhat
lower estimates of risk for nonsmokers, particularly at ages 65 to 74.
Differences between time periods are small compared to differences among
smoking classes. While the two sets of data lead to the same inferences,
the longer observation period provides an opportunity for a more precise
look at various relationships. The following sections present and discuss
in more detail the'results for the 8K-year period.
SMOffiNO CATEGORY
Mortality ratioe by mloldng class are shown in table 2; supplementary
datatl on number of deaths and ag"pecific probabilities of death are given
in Appendix tables A and B. ,
Current smokers of cigarettes have mortality ratios directly related to
the amount smoked. This statement holds true for smokers of cigarettes
only and for all smokers who combine the uae of cigarettes with other
^ NATIONAL C"CL'R INSTITOTB YONOGRAPB NO. 19
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J. 19
T8i DOBN STUDY OF aMOSIHO AND MORTALITY
9
Tuts 2.-Mortality r.tioa* by smoking category, July 19S4-Dooember 1962
Et4mokes
Smoking category Corrent
smokers
Btopped on
dootorh
otder
pped
8tootha
for
raanons
Ctµte~ 1
L 1 L 96 1.27
8
1-9/da L31 L 78 L08
f1o--89/d:y 2 0830 L 92
L 47
39+rdi 132 aai
58
y
Clpr.i ~ tot,i
"
L 2.05 i3
s
0
6
1-9/day L45 L ls
10-201day L 97
28
21-891day am
2 6 is
a
39+/day 2 32 7 L 60.
y-tot.l
t:!{at7 L80
~ L04
L~
9+1a+9 L 49
nlr
totat
plpe
a 1 81
L
q
i~
d 93 1S
1-19
/day L10 L18
20.+lday L 20
Axet w.n eMm tln ~Dnree, eerr..a.
forms of tobacco. Persons who smoked two packs of cigarettes per day
or more had 2.3 times the mortality risk of nonsmokers. The gradient
of risk with amount'smoked is slightly steeper now than first eetimated
from 2}i years of observation.
A gradient in mortality risk with amount smoked also appeared for
cigar and pipe amokers. Both moderate (5-8 cigars or 5-19 pipes) and
heavy(9 or more cigars or 20 or more pipes) smokers of cigars and pipes
have mortality ratios significantly greater than 1.00. Those who cur-
rently smoke only 4 cigars or pipes or less per day have mortality ratios
ndt aignificantly different from nonsmokers. Thus, current users of
cigarettes, cigars, or pipes experience excess mortality risks if they smoke
more than an occasional cigarette or more than 4 cigars or pipes per day.
In an effort to *ni++i+*+i>e a presumed artifact in the data for ez-smokers,
mortality ratios were calculated separately for two groups of ei-emokers.
Those who stopped on doctor's orders experience consistently higher
ri.ks for all causes than those stopping for other reasons. By segregation
of the former component (about 10% of all ez-emokets), analysis of the
experience of ez-smokers can be partially 6roed from the distortion
introduced because illness was the reason for stopping (14,16). Whereas
it is difficntt to gauge the credence to be accorded a reported reason for
an action, separation of these groups is a step in the right direction. About
5 percent of the records are coded "reason uDknown" and these have been
induded with "other reasons." Unless otherwise specified, further
STUDY ol cANCEa AidD oT8E8 cBHOYIC nISLSST.9
W

9
0
reference in this paper to ersmokers will be restricted to those who stopped
for reasons other than doctor's orders.
Among e:cigarette smokers mortality ratios in each subclaesification
recede to an intarmediate position between the corresponding figure for
current smokers and nonsmokers. In the process a gradient in risk by
number of cigarettes formerly smoked is maintained. However, former
cigar or pipe smokers have higher mortality ration than those who continue
smoking. When Dorn fuat reported this rather curious finding (7) he
atated that "many cigar and pipe smokers may have stopped smoking
because of ill health, but it is not obvious why this should be true for cigar
and pipe smokers but no6 for cigarette smokers." It is certainly not
obvious why such an effect should persist among cigar and pipe smokers
after excluding those who stopped smoking because of doctor's orders.
In summary, for each form of tobacco use, mortality risk is directly
rehted to amount smoked. The riaks for cigarette smokers greatly
exceed those for cigar or pipe smokers and are lowar for those who have
stopped than for those who continued smoking. A gradient of risk
according to amount smoked is evident.
AGE BEGAN AND NUMBEfi OF YE®RS SM08ED =
Table 3 contains mortality ratios computed for current smokers of
cigarettes cross-classified by amount smoked, age began, and number of
yaas smoked: Discussion of these variables will be limited to cigarette
smokers because of inaufficient data for analysis in the categories of pipe
or cigar smokers subject to excess risk.
Among those who began at age 20 or later, the relationship of years
'smoked to risk depends on the amount amoked. Those who smoke 1 to 9(
cigarettes a day do not display a significantly higher risk than nonsmokers
unti125 yesas or more have elapsed. Smokers of 10 to 20 cigarette a day
eaperience a significantly greater risk after 15 yeats. Not shown in the
table because it was based on only 48 deaths is a ratio of 1.66 for smokers
of 21 to 39 cigarettes who started at age 20 or later and smoked for less
than 15 year9. (Other calls omitted from table 3 are based on 16 deaths
or ]ess.) This ratio of 1.66 is significantly greater than 1.00 and would
suggest that persons who attain a rate of over a pack a day may be sub-
ject to increased risk in less than 15 years. Among those who begsn
moking before age 20, the results do not strongly indicate that mortality
risks continue to rise with longer duration of exposure. Once a signif--
icantly higher risk is reached there is little evidence of further increases.
One may reserve judgment as to whether this apparent plateau in risk
correctly reflects the facts or whether the very great overlap among dura-
tion categories has blurred beyond recognition an association with duration
of exposure. The duration categories <15, 15 to 24, 25 to 34, and 35+
are those reported on the smoking questionnaire. Since the present
report covela 99 years, the actual durations to which these labels now
' NITIONAL CLNCBS INaT1TOTt YONOO8LPH NO. 19
