Literature DB >> 3474519

Human immunodeficiency virus infections among civilian applicants for United States military service, October 1985 to March 1986. Demographic factors associated with seropositivity.

D S Burke, J F Brundage, J R Herbold, W Berner, L I Gardner, J D Gunzenhauser, J Voskovitch, R R Redfield.   

Abstract

During the six months from October 1985 through March 1986, blood samples from 306,061 civilian applicants for military service from the United States were tested for antibody to the human immunodeficiency virus (HIV). Four hundred sixty subjects were positive for the antibody as determined by Western (immune) blot reactivity. The mean prevalence of HIV infection in this population of teenagers and young adults was thus 1.50 per 1000. According to multivariate analysis, the following demographic factors were found to be significant independent predictors of a positive HIV-antibody test: age (adjusted odds ratio = 1.10 per year), black race (adjusted odds ratio = 2.04), male sex (adjusted odds ratio = 1.84), residence in a densely populated county (adjusted odds ratio = 1.05 per 1000 per square mile), and residence in a metropolitan area with a high incidence of the acquired immunodeficiency syndrome (adjusted odds ratio = 1.53). Antibody-positive applicants were identified in 43 of the 50 states. Counties with high prevalence rates for HIV (greater than 5 per 1000) were located in New York State (four counties), New Jersey (three counties), California (two counties), Maryland (two counties), and Texas, Colorado, and Washington, D.C.

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Year:  1987        PMID: 3474519     DOI: 10.1056/NEJM198707163170302

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


  34 in total

1.  Prevalence of human T-lymphotropic virus in civilian applicants for the United States Armed Forces.

Authors:  C R Roberts; D R Fipps; J F Brundage; S E Wright; M Goldenbaum; S S Alexander; D S Burke
Journal:  Am J Public Health       Date:  1992-01       Impact factor: 9.308

2.  AIDS surveillance among American Indians and Alaska natives.

Authors:  R Metler; G A Conway; J Stehr-Green
Journal:  Am J Public Health       Date:  1991-11       Impact factor: 9.308

3.  Methods of surveillance for HIV infection at U.S. sentinel hospitals.

Authors:  M E St Louis; N Olivo; S Critchley; K J Rauch; C R White; V P Munn; T J Dondero
Journal:  Public Health Rep       Date:  1990 Mar-Apr       Impact factor: 2.792

4.  Methodologic approaches to surveillance of HIV infection among blood donors.

Authors:  L R Petersen; R Dodd; T J Dondero
Journal:  Public Health Rep       Date:  1990 Mar-Apr       Impact factor: 2.792

5.  Methods of surveillance for HIV infection in primary care outpatients in the United States.

Authors:  L R Petersen; N B Calonge; M E Chamberland; R H Engel; N C Herring
Journal:  Public Health Rep       Date:  1990 Mar-Apr       Impact factor: 2.792

6.  HIV prevalence in blood donors in urban and in rural areas of the Federal Republic of Germany.

Authors:  D Glück; A Vornwald; E Gossrau; B Kubanek
Journal:  Blut       Date:  1990-05

7.  The increasing frequency of heterosexually acquired AIDS in the United States, 1983-88.

Authors:  K K Holmes; J M Karon; J Kreiss
Journal:  Am J Public Health       Date:  1990-07       Impact factor: 9.308

8.  Seroprevalence of HIV-type 1 in a northern California health plan population: an unlinked survey.

Authors:  R A Hiatt; F J Capell; M S Ascher
Journal:  Am J Public Health       Date:  1992-04       Impact factor: 9.308

9.  Decline in human immunodeficiency virus seropositivity and seroconversion in US Navy enlisted personnel: 1986 to 1989. Navy HIV Working Group.

Authors:  F C Garland; E D Gorham; S O Cunnion; M R Miller; L L Balazs
Journal:  Am J Public Health       Date:  1992-04       Impact factor: 9.308

10.  Inpatient morbidity among HIV-infected male soldiers prior to their diagnosis of HIV infection.

Authors:  P O Renzullo; J G McNeil; L I Gardner; J F Brundage
Journal:  Am J Public Health       Date:  1991-10       Impact factor: 9.308

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