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Epidemiologic Investigation of Health Effects in Air Force Personnel ...

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phases <strong>of</strong> the study, produc<strong>in</strong>g a 1:1 morbidity design. The <strong>in</strong>itial questionnaire<br />

will look backwards <strong>in</strong> time and will reconstruct occupational, social,<br />

and medical data to quantitate morbidity endpo<strong>in</strong>ts and confound<strong>in</strong>g factors.<br />

Subsequent questionnaires and physical exam<strong>in</strong>ations will constitute a followup<br />

morbidity study <strong>of</strong> liv<strong>in</strong>g exposed subjects and suitable liv<strong>in</strong>g controls. In<br />

this followup phase, primary controls who are noncompliant will be replaced by<br />

another suitable control from the control set so that both statistical power<br />

and loss to study bias <strong>in</strong> the followup study may be improved. Controls dy<strong>in</strong>g<br />

after the <strong>in</strong>itiation <strong>of</strong> the followup will not be replaced. All RANCH HAND<br />

personnel and their primary controls will be asked to complete a questionnaire<br />

and participate <strong>in</strong> a comprehensive physical exam<strong>in</strong>ation, with special emphasis<br />

be<strong>in</strong>g placed on dermatologic, neuropsychiatric, hepatic, immunologic, reproductive,<br />

and neoplastic conditions.<br />

The questionnaire will be developed and adm<strong>in</strong>istered by a civilian op<strong>in</strong>ion<br />

research organization <strong>of</strong> national stature under contract to the U.S. <strong>Air</strong><br />

<strong>Force</strong>. In-home, face-to-face <strong>in</strong>terviews will b,e conducted to maximize data<br />

quality; however, noncompliant <strong>in</strong>dividuals will be requested to participate <strong>in</strong><br />

a shortened telephone <strong>in</strong>terview. Medical and occupational data will be<br />

obta<strong>in</strong>ed from the study subjects. Fertility data will be obta<strong>in</strong>ed from the<br />

subject's spouse and/or former spouses whenever possible, preferably by faceto-face<br />

<strong>in</strong>terview. In addition, next-<strong>of</strong>-k<strong>in</strong> <strong>in</strong>terviews will be obta<strong>in</strong>ed for<br />

all study subjects who have died <strong>of</strong> non-combat-related causes between the time<br />

<strong>of</strong> their assignment to SEA and the <strong>in</strong>itiation <strong>of</strong> this study. The physical<br />

exam<strong>in</strong>ations will be conducted under <strong>Air</strong> <strong>Force</strong> contract at a s<strong>in</strong>gle center by<br />

a civilian medical organization <strong>of</strong> national stature. Bl<strong>in</strong>d assessment protocols<br />

and strict quality control measures will be used to avoid bias and limit<br />

data variability. A $100 per day stipend will be paid to all eligible subjects<br />

to maximize participation <strong>in</strong> the study. Adaptive physical exam<strong>in</strong>ations<br />

and questionnaires will be developed for use <strong>in</strong> years 3, 5, 10, 15, and 20 <strong>of</strong><br />

the followup study. Expected biases and study difficulties <strong>in</strong>clude risktak<strong>in</strong>g<br />

behavior bias <strong>in</strong> the predom<strong>in</strong>antly volunteer RANCH HAND group, response<br />

bias, <strong>in</strong>terviewer bias, loss to study bias, and variability <strong>of</strong> procedures<br />

performed.<br />

S<strong>in</strong>ce this study is deal<strong>in</strong>g with nonspecific cl<strong>in</strong>ical endpo<strong>in</strong>ts, identification<br />

or elucidation <strong>of</strong> a disease state or syndrome by statistical methodology<br />

is a prime thrust <strong>of</strong> the <strong>in</strong>vestigation. Inferences about a disease<br />

state will be developed by identify<strong>in</strong>g symptom complexes or physical f<strong>in</strong>d<strong>in</strong>gs<br />

which <strong>in</strong> themselves may represent disease. By comparison <strong>of</strong> symptoms, signs,<br />

and laboratory tests with<strong>in</strong> and between groups, a logical decision-mak<strong>in</strong>g<br />

scheme can be utilized to calculate relative risks from basel<strong>in</strong>e data. If<br />

appropriate, these results will be used to sharpen adaptive approaches <strong>in</strong> the<br />

followup study. By the use <strong>of</strong> comb<strong>in</strong>ational and correlational analysis,<br />

statements about the probability <strong>of</strong> a disease state, a subcl<strong>in</strong>ical state,<br />

and/or over-report<strong>in</strong>g bias will be attempted. In addition, the application <strong>of</strong><br />

regression techniques to a normalized exposure <strong>in</strong>dex among exposed <strong>in</strong>dividuals<br />

exhibit<strong>in</strong>g symptoms and/or signs will also assist <strong>in</strong> the clarification <strong>of</strong> a<br />

disease state or syndrome. Mortality data will be analyzed us<strong>in</strong>g several different<br />

approaches, <strong>in</strong>clud<strong>in</strong>g age and age-disease specific rates, standardized<br />

mortality rates, and modified life table approaches, as well as more sophisticated<br />

logistic and multiplicative models. Analysis <strong>of</strong> questionnaire and<br />

vii

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