Related Experiment Video
Updated: Aug 21, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
Identifying diverse HIV risk groups among American Indian young adults: the utility of cluster analysis
Christina M Mitchell1, Carol E Kaufman, Janette Beals
1American Indian and Alaska Native Programs, University of Colorado Health Sciences Center, Aurora, Colorado 80045, USA. christina.mitchell@uchsc.edu
Abstract:
We demonstrate the utility of cluster analysis for identifying diverse HIV risk groups found in a community-based sample. Within a group of 706 American Indian young adults, we used cluster analysis to identify four profiles of HIV risk/protection. The High Efficacy/Low Risk cluster had high levels of knowledge/education, self-efficacy, and outcome expectations about HIV protection, with low levels of risk behaviors. Low Efficacy/Low Risk had low levels of HIV knowledge/education, self-efficacy, and outcome expectations, but high levels of perceived risk for HIV with low levels of HIV risk behaviors. Low Efficacy/Moderate Risk was similar to the previous group, but its members had moderately higher levels of several risk behaviors and higher condom use. Low Efficacy/High Risk had high rates of several high-risk behaviors such as exchanging sex for money or injection drug use. Validation analyses highlighted differences that can be useful for the development of preventive interventions.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Statistical Methods for Analyzing Epidemiological Data
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Bias in Epidemiological Studies
Surveys
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
