<?xml version="1.0" encoding="UTF-8"?>
<itemContainer xmlns="http://omeka.org/schemas/omeka-xml/v5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://www.nal.usda.gov/exhibits/speccoll/items/browse?advanced%5B0%5D%5Belement_id%5D=39&amp;advanced%5B0%5D%5Btype%5D=is+exactly&amp;advanced%5B0%5D%5Bterms%5D=Burt%2C+Vicki+L.&amp;sort_field=Dublin+Core%2CCreator&amp;output=omeka-xml" accessDate="2026-03-08T04:22:32+00:00">
  <miscellaneousContainer>
    <pagination>
      <pageNumber>1</pageNumber>
      <perPage>15</perPage>
      <totalResults>1</totalResults>
    </pagination>
  </miscellaneousContainer>
  <item itemId="3084" public="1" featured="0">
    <fileContainer>
      <file fileId="1597">
        <src>https://www.nal.usda.gov/exhibits/speccoll/files/original/0b3b4e39b54c0e21e0862d51dbdd07d8.pdf</src>
        <authentication>dc7521f9bc623c1d1751220869506a01</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="60">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="63546">
                    <text>Item ID Number

01775

Author

Burt vickiL

'

Office of Environmental Epidemiology, Department of Su

Roport/Artide TltlB Typescript: Non-Hodgkin's Lymphoma in the Vietnam
Veterans Mortality Study, September 1986

Journal/Book Title
000

Yoar

°

Month/Day
Color

n

Number of Images

14

Dosorlpton Notes

Monday, June 11, 2001

Page 1776 of 1793

�NON-HODGKIN'S LYMPHOMA IN THE
VIETNAM VETERANS MORTALITY STUDY

Vicki L. Burt
Patricia Breslin
Han Rang
Yvonne Lee
Michael Feil

Office of Environmental Epidemiology
Department of Surgery and Medicine
Veterans Administration
Washington, D. C. 20306-6000
September, 1986

�INTRODUCTION
This paper describes the findings related to non-Hodgkin's
lymphoma(NHL) in the Vietnam Veteran Mortality Study conducted by
the Veterans Administration. This study was undertaken in
response to concerns that elements of the veterans' experience,
including herbicide exposure, may make the Vietnam veteran group
more susceptible to various diseases.
This proportionate mortality analysis is of deaths found in
the Veterans Administration Beneficiary Identification and
Records Locator Subsystem(BIRLS). This system includes all
veterans whose beneficiaries receive a death benefit. This
file contains a relatively complete roster of veterans' deaths.
The Office of Environmental Epidemiology requested an ascertainment of mortality in the United States Vietnam era veteran
population by the National Academy of Science. Results of this
study showed 97.6 percent of deaths among veterns who served in
Vietnam were recorded in BIRLS and 82.5 percent of the other
Vietnam era veterans' deaths were shown in BIRLS. Of those not
serving in Vietnam the distribtion of causes of death is not
different between the 82.5 percent present and the 17.5 percent
not found in BIRLS for cancer or other causes. See Appendix for
distribution of causes of death.
METHODS
Study Population
Proceeding under the assumption that the BIRLS system had
the potential for yielding a reasonably complete roster of
deceased Vietnam era veterans, it was necessary to devise
strategies to select these deaths from among all deaths recorded
in BIRLS. The selection process was done in several stages.
First, it was necessary to obtain as complete a list as possible
of all veterans who were likely to have served during the Vietnam
era. To do this, all veterans whose service dates included the
period 1964-1975 were selected. In addition, for those records
where the service dates were missing, veterans whose birthdates
were given as falling between 1935 and 1957 inclusive were
selected. This yielded about 815,000 records.
Recalling the purpose of the study, to compare the mortality
patterns of men who served in Vietnam with those who did not
serve in Vietnam, additional criteria were introduced based on
time of service and branch of service.
The Vietnam era as defined by the Veterans Administration,
was August 5, 1964 to May 7, 1975. Prior to July 1965 and after
January 1973 there were relatively few troops in Vietnam. Thus,
if one sampled deaths among those who served before 1965 or after
January 1, 1973, there would be relatively few decedents who had

�served in Vietnam. Thus the study population was limited to
military personnel who were in the Armed Forces on July 4, 1965
or who entered service after that date but before March 1, 1973.
Data published by the Department of Defense indicate that 81
percent of those who served in Vietnam were in the Army or Marine
Corps. For these branches of service, duty in Vietnam meant, in
most cases, service "in country". For those in the Air Force or
Navy, Vietnam service often is not so clear cut. It may be
difficult to determine whether Navy personnel who were considered
to have Vietnam service were ever actually "in country" of if Air
Force personnel who were in the Vietnam theatre of operations and
flew missions over Vietnam or to Vietnam were ever "in country".
Hence the study population was limited even furthur to persons
who served in the Army or Marine Corps between the dates given
above. Since this was to be a proportional mortality study and
deaths related to the operations of war could only occur in those
who served in Southeast Asia and not among those who served
elsewhere, deaths occuring among personnel on active duty before
the end of 1973 wre excluded. The target population as defined
by these criteria consisted of 186,000 veterans who died between
July 4, 1965 and February 1982 when the study was initiated.
In order to achieve adequate statistical power, it was
determined that the study should consist of at least 50,000
eligible cases. It was assumed that some of the cases selected
from the target population would not meet the criteria for the
study. Therefore the sample size was increased to allow for
these anticipated losses. Ultimately, 76,517 names of veterans
were randomly selected from the target population.
Military records were searched for all these names (Table
1). Records were found for all but 1032(1.4%) of the names
selected; 52,283 of the veterans whose records were found were
determined to meet the criteria of the study. That is, they had
served with the Army or Marine Corps any time between July 4,
1965 and March 1, 1973. For those men who met the criteria of
the study, dates, place of service, military occupation; type of
discharge and other demographic data were abstracted from their
military records.
Cause of death information has been obtained for 51,421
(98.4%) of the 52,283 men who were determined to be eligible for
the study(Table 2). The cause of death in all cases was coded by
trained nosologists using the International Classification of
Disease, 8th edition (ICDA-8).
All data given in this report will be based on the 51,421
veterans for whom both military service data and cause of death
information are available.
Abstracted Information
Items of information abstracted from the death certificates

�were: age at last birthday, date of death, underlying cause of
death, sex, state of death, race, and histology type if cause of
death was cancer.
From the military record the following information was
obtained: date first in service, date last in service, branch, date
of birth, sex, race, military occupation specialty codes(MOSC),
education level, and whether served in Southeast Asia or not.
For those serving in Southeast Asia additional information was
collected: date first in Southeast Asia, date last in Southeast
Asia, units served in, and countries served in.
STATISTICAL ANALYSIS
Proportionate mortality ratios, standardized for age(SPMRs)
were calculated. Categories of age were: less than 20, 2024,...,60-64 and 65 and over. SPMRs for categories of cancer are
presented in this paper. Vietnam era veterans that did not serve
in Southeast Asia were the reference population. Of the 51,421
veterans' deaths in this study 24,736 had served in Southeast
Asia, 26,685 had not(Table 3). Southeast Asia veterans that did
not go to Vietnam were at most 1.8 percent. SPMRs were calculated for the following subgroups: all army, all marines, and
white and nonwhite for army and marines. The Mantel-Haenszel
chi-square statistic was calculated for each category to indicate
whether the deviation from unity was likely to be seen by chance.
A more detailed analysis of non-Hodgkin's lymphoma(NHL) for
Marine Corps veterans and black Army veterans is presented.
Case control analyses(Miettinen and Wang) were carried out
to examine the relationship between mortality from non-Hodgkin's
lymphoma and service in Southeast Asia. Controls for this
analysis were all cardiovascular deaths(ICDA-8 codes: 390.0458.9). These were chosen because both in this mortality study
and several others (Anderson, et al; Holmes, et al; Kogan and
Clapp; and The Surgeon General, USAF) no association was found
between Vietnam service and cardiovascular mortality. Also, no
biologic hypothesis exists suggesting a relationship between
service in Vietnam or synonymously Southeast Asia and cardiovascular mortality. All analyses were standardized by age
to control for confounding by age.
The disadvantages of the SPMR are well known. For example,
if the overall mortality rate is different in the exposed and.
non-exposed populations the SPMR will not approximate the standardized mortality ratio(SMR). That is, if the overall mortality
rate is less in other Vietnam era veterans then the cause specific SPMRs will be overestimated for the Southeast Asia veterans.
Also, the cause specific SPMR is dependent on the relative
distribution of other causes of death. For example, if Southeast
Asia veterans had a higher mortality rate for accidents than the
referrent population, then the SPMR for cancer might be
abnormally decreased. The case control analysis is not dependent
on this second factor. Also, in case control analysis, if the

�exposure of interest is not a risk factor for the selected
control group the standardized mortality odds ratio(SMOR) is
equivalent to the SMR.
Because of the relative homogeneity of several variables
(education, type of discharge, and grade) and correlation of
others, it was not felt that significant information would be
gained from a multivariate analysis.
RESULTS
The SPMRs presented in Table 4 reveal that only those for
lung cancer and non-Hodgkin's lymphoma in Marines are significantly greater that 1 using the Mantel-Haenszel chi-square statistic. The results in the following Tables refer only to NHL,
detailed analysis of lung cancer deaths in the Marine Corps wil
be presented in a separate paper. Nineteen of twenty-four nonwhite Southeast Asia veterans whose race was not white veterans
with NHL were black Army veterans, 3 were in the Marine Corps,
and 2 were Army Southeast Asia veterans with race unknown. The
SPMR of 1.53 for nonwhite Southeast Asia veterans has a chisquare statistic of 2.30 and corresponding p-value of 0.14. Because the majority are black Army veterans and despite the lack
of statistical significance for the nonwhite category, parallel
analyses of NHL were done for the subgroup, black Army veterans,
as well as for the Marine Corps. The black Marines are included
in the Marine analysis. Those with unknown race were excluded
from furthur analysis.
The comparison group for the MORs and SMORs in Tables 5-7f
are all cardiovascular deaths. Table 5 presents the age distribution of NHL deaths in these two subgroups. In Table 6 age
specific MORs are presented. Marines age 30 through 39 at death
have a mortality odds ratio of 5.07 and lower 95% level of 1.49.
An overall SMOR, 2.05, standardized for age is presented in Table
7a. The lower 95 percent confidence level is 1.81.
Tables 7b-7g present SMORs for various categories of data
collected for these individuals. Grade in service, education
level and type of discharge are not presented because of lack of
variation of these variables. Ninety-seven percent of the individuals of Table 5 were enlisted personnel, 96 percent were
honorable discharges, and more that three quarters had a high
school education with other education levels sparsely distributed. Because the values for the categories in Tables 7d and 7e
are only present for Southeast Asia veterans all other Vietnam
era veterans served as the comparison group for each category.
In Tables 7b, 7c, and 7f all veterans have recorded data for the
categories therefore the comparison group is all other Vietnam
era veterans for that specific category. In Table 7g each ICDA-8
code was compared to all cardiovascular deaths.
Military Occupation Specialty Codes(MOSCs) were categorized
as combat troops, direct support of combat troops, and indirect

�MOSCs(Table Ic) had the highest SMOR for military occupations at
6.23. A description of the categories of MOSC appear in the
Appendix.
Our data base included the dates a veteran first and last
served in Southeast Asia. If the difference between these two
dates was greater than 13 months there is a significant likelihood this veteran went to Southeast Asia more that once,
therefore this analysis is presented as a potential proxy for
more than one tour in Southeast Asia. Table 7e presents SMORs by
the first year the veteran was in Southeast Asia. Because of the
different volumes and contamination of herbicides used during the
Vietnam conflict, veterans deaths were categorized by year of
first Southeast Asia service. The overwhelming majority of
herbicides were applied in 1967 through 1969. Southeast Asia
veterans first going to Southeast Asia these years had the
highest SMORs.
Table 7f is a categorizaion of the interval between first
going in the military and final discharge. Some veterans may
have had 2 or more non-contiguous enlistments. Because this is
relatively rare the greater than 4 years category may represent
veterans that made the military a "career1. These individuals
serving more that 4 years did not have an increased SMOR.
Table 7g presents SMORs by ICDA-8 coding. The Marine Corps
SMOR for ICDA-8 code 200 is elevated. This code includes
reticulum-cell sarcoma and lymphosarcoma. In contrast, black
Army veterans have a SMOR of 3.82 for ICDA-8 code 202(giant
follicular lymphoma, mycosis fungoides, and other lymphomas).
DISCUSSION
Numerous studies have, revealed an association between
herbicide use and NHL. A recent population based case control
study(Hoar, et al) presented an odds ratio of 2.2(CI 1.2-4.1)
for farmers ever using phenoxyacetic acids. A matched case
control study(Hardell, et al) of malignant lymphomas(Hodgkin's
disease and NHL) showed a calculated relative risk of 4.8 for
exposure to phenoxy acids. In that study persons with
concommittant high-grade exposure to chlorophenols were excluded.
Because Agent Orange and other herbicides used in Vietnam contain
phenoxyacetic acids, it is essential to attempt to associate a
level of exposure to one or more of these agents to a particular
individual. Future efforts of the Office of Environmental
Epidemiology include associating location of a Southeast Asia veteran's
unit with known spraying missions. Also, an additional sample of
veterans' deaths from 1982-1984 is being prepared. From this
furthur data we hope to see if disproportionate deaths from NHL
continues to occur among veterans with Southeast Asia exposure.

�BIBLIOGRAPHY
Anderson, Henry A., et al. Wisconsin Vietnam Veteran Mortality
Study. March, 1986.
Decoufle, Pierre, Thomas, Terry L. an Pickle, Linda W. "Comparison
of the Proportionate Mortality Ratio and Standardized Mortality
Ratio Risk Measures." American Journal of Epidemiology 111:
263-69, 1980.
Directorate for Information, Operations and Reports. Department
of Defense Selected Manpower Statistics Fiscal Year 1981.
Hardell, L., et al. "Malignant Lymphoma and Exposure to
Chemicals Especialy Organic Solvents, Chlorophenols and
Phenoxy Acids: A Case-Control Study". British Journal of
Cancer 43: 169-76. 1981.
Hoar, S. K., et al. "Agricultural Herbicide Use and Risk of
Lymphoma and Soft-Tissue Sarcoma". Journal of the American Medical
Association 256: 1141-47. September 5, 1986.
Holmes, Alan P., et al. West Virginia Vietnam-Era Veterans Mortality
S tudy. January, 1986.
Kogan, Michael D. and Clapp, Richard W. Mortality Among Vietnam
Veterans in Massachusetts. 1972-1983. January 25, 1985.
Kupper, L. L., et al. "On the Utility of Proportional Mortality
Analysis." Journal of Chronic Disease 31: 15-22, 1978.
Lawrence, Charles E. et al. "Mortality Patterns Among Vietnam
and Vietnam Era Veterans." American Journal of Public
Health 75: 277-79, 1985.
Milham, Jr., Samuel. "Methods of Occupational Mortality Studies."
Journal of Occupational Medicine 17: 581-85.
Miettinen, O. S. and Wang, J. "An Alternative to the Proportionate Mortality Ratio". Amerian Journal of Epidemiology
114: 144-48. 1981.
National Academy of Sciences, National Research Council,
Commission on Life Sciences, Medical Follow-up Agency.
Ascertainment of Mortality in the U. S. Vietnam Veteran
Population. 1985.
Public Health Service. Eighth International Classification of
Diseases Adapted to the United States.
Spiegelman, D., Wang, J., and Wegman, D. "Epidemiologic Programs
for Computers and Calculators". American Journal of Epidemiology
118: 599-607. 1983.
The Surgeon General, United States Air Force. An Epidemiologic
Investigation of Health Effects in Air Force Personnel Following
Exposure to Herbicides. June 30, 1983.

APPENDIX
1. The following is a description of the Military Occupation
Service Codes. The exact codes used are identical to
those used in the Wisconsin Vietnam Veteran Mortality Study
(Anderson,et al).

�Combat. Occupations with primary duty involving direct
offensive and defensive actions against an armed hostile enemy
force. For example: rifleman, assaultman, field artillary
batteryman, or mortar man.
Direct. Occupations with
combat troops that may involve
indirect contact with an armed
electrical systems technician,
field radio operator.

primary duty involving support of
limited direct and/or extensive
hostile force. For example:
bulk fuel specialist, wireman or

Indirect. Occupations with primary duty involving indirect
support of combat and/or direct support troops that does not
involve contact with an armed hostile force. For example: cook,
aircraft ballistics computer technician, radar repairman, and
clerk.
2. The following are ICDA-8 codes associated with the
categorization of cancer mortality in Table 4.
Category
Other causes
Buccal
Esophagus
Stomach
Intestines, etc.
Liver, biliary
Pancreas
Upper resp.
Lung
Bone
Soft tissue
Melanoma
Prostate
Testis
Bladder
Kidney
Brain
Other nervous system
Thyroid and endocrine
Non-Hodgkin's lymphoma
Hodgkin's
Multiple Myeloma
Leukemia
Other cancer

ICDA-8 Code
0-136,210-228,240-989
140-149
150
151
152-154,158,159
155-156
157
160-161
162
170
171
172
185
186
188
189
191
192
193-194
200,202
201
203
204-207
163,173-174,187,190,195199,208-209,230-239

�3* The following is the distribution of caus,es of death
from the National Academy of Sciences Ascertainment of Mortality
in the U. S. Vietnam Veteran Population for all veterans not •
going to Vietnam. Forty-five percent of these veterans were
Vietnam era veterans. The 'other1 category includes cardiovascular disease.
Cause
Cancer
Other
Motor Vehicle
Suicide
Homocide
Other Trauma
Unknown
Total

Found in BIRLS
No.(%)
97(9.7)
231(23.0)

Not Found in Birls
No.(%)

237(23.6)
163(16.2)
123(12.2)
42(4.2)
112(11.1)

23(9.6)
58(24.2)
52(21.7)
25(10.4)
38(15.8)
13(5.4)
31(12.9)

1005(100.0)

240(100.0)

�TABLE 1:

The Study Sample—Military Records Search.
Number

Percent

75617

100.0%

1032

1.4%

Records found, ineligible

22302

29.5%

Records found, eligible

52283

69.1%

All names selected
Records not found

Ineligibility was based on: a. wrong branch of
service, b. wrong time of service

Table 2:

Results of Death Certificate Search.
Number
52283

Coded cause of death

Table 3;

1.6%

51421

No cause of death

100.0%

862

Eligible cases

Percent

98.4%

Distribution of Eligible Deaths by Branch
of Service, Race, and Place of Service.
Army

Marines

Other
Service

Southeast
Asia

15734
1
Nonwhite 4399

18215

3943

3120

4689

760

661

20133

22904

4603

3781

Southeast
Asia
White

1 Nonwhite includes unknown race.

Other
Service

�Table 4;

Standardized Proportionate Mortality Ratios
(SPMRs) by Branch of Service and Race.

1

2

SPMR

Army

Marines

Other causes
Buccal
Esophagus
Stomach
Intestines, etc.
Liver, biliary
Pancreas
Upper resp.
Lung
Bone
Soft tissue
Melanoma
Prostate
Testis
Bladder
Kidney
Brain
Other nervous
Thyroid, endo.
Non-Hodgkin ' s
Hodgkin ' s
Multiple Myeloma
Leukemia
Other cancer

1.00
0.92
1.29
1.13
0.97

0.98
2.21
0.39
0.81
1.25
1.20
1.62
0.18
1.57*
1.35
0.70
0.93
1.29
1.26
2.39
0.95
1.05
0.92
0.56
2.08*
1.37
0.45
1.12
1.06

1.01
0.88
1.19
1.03
0.86
1.03
1.04
0.89
1.11
0.61
0.89
0.96
0.55*
0.58
0.82
1.15
0.80
0.88
1.03

White

Nonwhite

1.00
1.09
0.90
0.99
1.05
1.28
0.98
0.99
1.09
1.03
0.93
0.99
0.68
1.20
0.90
0.83
0.99
0.62*
0.58
0.89
1.22
0.68
0.89
1.00

* p-value for Mantel-Haenszel chi-square 1 degree of
freedom &lt; .05.
1 See Appendix from respective ICDA-8 codes.
2 Nonwhite includes unknown race.

0.99
0.85
1.72
1.33
0.82
0.69
0.82
1.13
1.11
0.59
1.06
3.33
3.16
0.60
0.28
1.56
0.85
0.43
0.57
1.53
1.01
1.21
1.14
1.23

�Table 5;

Age Distribution of Non-Hodgkin's Lymphoma.

Black Army

Marines
SE Asia
Service

Non SE Asia
Service

SE Asia
Service

Non SE Asia
Service

20-29

7

4

4

3

30-39

23

3

13

4

40-49

2

2

2

1

50-59

2

1

0-

1

60+

1

0

0

0

35

10

19

10

Total

1
Table 6:

Age Specific Mortality Odds Ratios
for Non-Hodgkin's Lymphoma.

Marines

Black Army
MOR(LCI,UCI)

MOR(LCI,UCI)
20-29

2.17(0.60,7.75)

3.15(0.67,14.8)

*
30-39

5.07(1.49,17.2)

2.86(0.92,8.86)

40-49

0.28(0.04,2.02)

0.53(0.07,3.85)

50-59

0.95(0.08,10.7)

60+

1.58(0.05,48.8)

**

* p-value for Mantel-Haenszel chi square &lt; .01.
** number of exposed cases is one.
1 Cardiovascular deaths are the control population.

�1
Table 7a;

Overall Standardized Mortality Odds Ratio
for Non-Hodgkin's Lymphoma.
Marines
SMOR(LCI,UCI)
2.05(1.81,2.30)

Black Army
SMOR(LCI,UCI)
1.78(0.93,3.42)

1 Cardiovascular deaths are the control population.

Table 7b;

1
Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by Year of Death.
Marines
SMOR(LCI,UCI)

Black Army
SMOR(LCI,UCI)

1965-76

2.70(0.80,9.19)

0.58(0.00,280.)

1977-79

1.79(0.51,6.21)

1.79(0.64,5.06)

1980-82

2.57(0.94,7.06)

2.90(0.76,11.0)

1 Cardiovascular deaths are the control population.

Table 7c;

1
Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by Military Occupation Specialty Code(MOSC).
Marines
SMOR(LCI,UCI)

Combat

Black Army
SMOR(LCI,UCI)

Direct

6.23(1.28,30.2)
2
0.72(
,
)

2.20(0.58,8.38)
1.35(0.58,3.15)

Indirect

2.31(0.39,13.9)

1.95(0.57,6.73)

1 Cardiovascular deaths are the control population.
2 Confidence interval not calculated.

�Table 7d:

Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by Potential
Tours of Service in Southeast Asia.
Marines
SMOR(LCI,UCI)

Black Army
SMOR(LCI,UCI)

LE 13 MO

2.39(1.26,4.53)

1.73(0.79,3.80)

GT 13 MO

1.23(0.78,1.93)

1.92(0.91,4.05)

1 Cardiovascular deaths are the control population,

Table 7e:

Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by First Year
in Southeast Asia.
Marines
SMOR(LCI,UCI)

Black Army
SMOR(LCI,UCI)

1965-66

1.76(1.02,3.03)

1.89(0.72,4.95)

1967-69

2.51(1.22,5.21)

1.96(0.94,4.10)

1970+

1.68(0.39,7.18)

0.73(0.11,4.81)

* Number of exposed cases is one.
1 Cardiovascular deaths are the control population.

Table 7f:

Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by Potential
Years in Military Service.
Marines
SMOR(LCI,UCI)

Black Army
SMOR(LCI,UCI)

LE 4 YRS

3.61(1.49,8.73)

2.93(1.29,6.66)

GT 4 YRS

0.85(-

0.55(0.12,2.57)

1 Cardiovascular deaths are the control population.
2 Confidence interval not calculated.

�1
Table 7q;

Standardized Mortality Odds Ratio for
Non-Hodgkin's Lymphoma by ICDA-8 Code.
Marines
SMOR(LCI,UCI)

Black Army
SMOR(LCI,UCI)

Code=200

2.33(1.12,4.85)

1.12(0.65,1.92)

Code=202

1.85(0.82,4.18)

3.82(1.15,12.7)

1 Cardiovascular deaths are the control population,

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <collection collectionId="30">
      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="4687">
                  <text>Alvin L. Young Collection on Agent Orange</text>
                </elementText>
              </elementTextContainer>
            </element>
            <element elementId="41">
              <name>Description</name>
              <description>An account of the resource</description>
              <elementTextContainer>
                <elementText elementTextId="49809">
                  <text>&lt;p style="margin-top: -1em; line-height: 1.2em;"&gt;The Alvin L. Young Collection on Agent Orange comprises 120 linear feet and spans the late 1800s to 2005; however, the bulk of the coverage is from the 1960s to the 1980s and there are many undated items. The collection was donated to Special Collections of the National Agricultural Library in 1985 by Dr. Alvin L. Young (1942- ). Dr. Young developed the collection as he conducted extensive research on the military defoliant Agent Orange. The collection is in good condition and includes letters, memoranda, books, reports, press releases, journal and newspaper clippings, field logs and notebooks, newsletters, maps, booklets and pamphlets, photographs, memorabilia, and audiotapes of an interview with Dr. Young.&lt;/p&gt;&#13;
&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="1">
      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
      <elementContainer>
        <element elementId="52">
          <name>Box</name>
          <description>The box containing the original item.</description>
          <elementTextContainer>
            <elementText elementTextId="22509">
              <text>066</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="53">
          <name>Folder</name>
          <description>The folder containing the original item.</description>
          <elementTextContainer>
            <elementText elementTextId="22511">
              <text>1775</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="54">
          <name>Series</name>
          <description>The series number of the original item.</description>
          <elementTextContainer>
            <elementText elementTextId="22513">
              <text>Series III Subseries III</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22504">
                <text>Burt, Vicki L.</text>
              </elementText>
              <elementText elementTextId="22505">
                <text>Patricia Breslin</text>
              </elementText>
              <elementText elementTextId="22506">
                <text>Han Kang</text>
              </elementText>
              <elementText elementTextId="22507">
                <text>Yvonne Lee</text>
              </elementText>
              <elementText elementTextId="22508">
                <text>Michael Feil</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22510">
                <text>&lt;strong&gt;Corporate Author: &lt;/strong&gt;Office of Environmental Epidemiology, Department of Surgery and Medicine, VA</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22512">
                <text>Typescript: Non-Hodgkin's Lymphoma in the Vietnam Veterans Mortality Study, September 1986</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="22514">
                <text>VA Mortality Study</text>
              </elementText>
              <elementText elementTextId="22515">
                <text>lymphomas</text>
              </elementText>
              <elementText elementTextId="22516">
                <text>cancer risk assessment</text>
              </elementText>
              <elementText elementTextId="22517">
                <text>mortality trends</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="1">
        <name>ao_seriesIII</name>
      </tag>
    </tagContainer>
  </item>
</itemContainer>
