Components of difference in HIV seropositivity rate among injection drug users between low- and high-HIV-prevalence regions. 2003

Jichuan Wang
Wright State University, School of Medicine, Department of Community Health, Dayton, OH 45435, USA. jichuan.wang@wright.edu

Comparative studies on regional HIV seroprevalence or seropositivity rate among injection drug users (IDUs) have focused primarily on assessing the risk factors for HIV infection. This study used a nonparametric analytic approach, known as standardization and decomposition, to to compare HIV seropositivity rates among IDUs between low- and high-HIV-prevalence regions in the United States. The regional difference in HIV seropositivity rate was decomposed into different components: (1) a "rate effect," which was attributed to the differences in factor-specific rates, and (2) "compositional factor effects," which were attributed to the differences in distributions of sociodemographic factors across regions. The analytic results show that the regional difference in HIV seropositivity rate was considerable (21.04%); however, the difference would be adjusted down to 17.65% if sociodemographic factors were proportionally distributed across the regions. Differential distribution of ethnic groups between the two regions accounted for about 15.02% of the regional difference in HIV seropositivity rate. The application of the standardization and decomposition method provides HIV researchers with opportunities to look at familiar data from a different perspective.

UI MeSH Term Description Entries
D008297 Male Males
D002391 Catchment Area, Health A geographic area defined and served by a health program or institution. Health Service Area,Health Catchment Area,Service Area, Health,Area, Health Catchment,Area, Health Service,Areas, Health Catchment,Areas, Health Service,Catchment Areas, Health,Health Catchment Areas,Health Service Areas,Service Areas, Health
D005260 Female Females
D006679 HIV Seropositivity Development of neutralizing antibodies in individuals who have been exposed to the human immunodeficiency virus (HIV/HTLV-III/LAV). AIDS Seroconversion,AIDS Seropositivity,Anti-HIV Positivity,HIV Antibody Positivity,HIV Seroconversion,HTLV-III Seroconversion,HTLV-III Seropositivity,AIDS Seroconversions,AIDS Seropositivities,Anti HIV Positivity,Anti-HIV Positivities,Antibody Positivities, HIV,Antibody Positivity, HIV,HIV Antibody Positivities,HIV Seroconversions,HIV Seropositivities,HTLV III Seroconversion,HTLV III Seropositivity,HTLV-III Seroconversions,HTLV-III Seropositivities,Positivities, Anti-HIV,Positivities, HIV Antibody,Positivity, Anti-HIV,Positivity, HIV Antibody,Seroconversion, AIDS,Seroconversion, HIV,Seroconversion, HTLV-III,Seroconversions, AIDS,Seroconversions, HIV,Seroconversions, HTLV-III,Seropositivities, AIDS,Seropositivities, HIV,Seropositivities, HTLV-III,Seropositivity, AIDS,Seropositivity, HIV,Seropositivity, HTLV-III
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015819 Substance Abuse, Intravenous Abuse, overuse, or misuse of a substance by its injection into a vein. Drug Abuse, Intravenous,Drug Abuse, Parenteral,Intravenous Drug Abuse,Intravenous Substance Abuse,Parenteral Drug Abuse
D015995 Prevalence The total number of cases of a given disease in a specified population at a designated time. It is differentiated from INCIDENCE, which refers to the number of new cases in the population at a given time. Period Prevalence,Point Prevalence,Period Prevalences,Point Prevalences,Prevalence, Period,Prevalence, Point,Prevalences
D018709 Statistics, Nonparametric A class of statistical methods applicable to a large set of probability distributions used to test for correlation, location, independence, etc. In most nonparametric statistical tests, the original scores or observations are replaced by another variable containing less information. An important class of nonparametric tests employs the ordinal properties of the data. Another class of tests uses information about whether an observation is above or below some fixed value such as the median, and a third class is based on the frequency of the occurrence of runs in the data. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed, p1284; Corsini, Concise Encyclopedia of Psychology, 1987, p764-5) Kolmogorov-Smirnov Test,Kruskal-Wallis H Statistic,Mann-Whitney U Test,Rank-Sum Tests,Spearman Rank Correlation Coefficient,Wilcox Test,Wilcoxon Rank Test,Non-Parametric Statistics,Nonparametric Statistics,Statistics, Non-Parametric,Kolmogorov Smirnov Test,Mann Whitney U Test,Non Parametric Statistics,Rank Sum Tests,Rank Test, Wilcoxon,Rank-Sum Test,Statistics, Non Parametric,Test, Kolmogorov-Smirnov,Test, Mann-Whitney U,Test, Rank-Sum,Test, Wilcox,Test, Wilcoxon Rank,Tests, Rank-Sum,U Test, Mann-Whitney

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