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Biomedical subjects

Philip J Batterham

Publications and source records attributed to Philip J Batterham.

2 recordsLinked to original sources

Newly homeless youth STD testing patterns over time.

PURPOSE: To use the Behavioral Model for Vulnerable Populations to examine the predisposing and need characteristics of newly homeless youth that are associated with sexually transmitted disease (STD) testing over time. METHODS: A longitudinal cohort of newly homeless youth from Los Angeles County (n = 261; ages 12-20 years) were followed for 24 months. Youth were interviewed at baseline, 3, 6, 12, 18, and 24 months, and asked about their background, housing situation, emotional distress (using the Brief-Symptom Inventory), substance use, sexual risk behaviors, and their STD testing rates. We modeled our longitudinal data using logistic random effects models. RESULTS: Characteristics of homeless youth that were associated with STD testing in our multivariate model included time in study (odds ratio [OR] 1.3, 95% confidence interval [CI] 1.1-1.6), age at baseline (OR 1.2, 95% CI 1.1-1.4), being African-American (OR 2.7, 95% CI 1.4-5.3), being from a mixed race/ethnic group (OR 2.8, 95% CI 1.3-5.8), self-identifying as a gay/bisexual male (OR 2.9, 95% CI 1.2-6.9), self-identifying as a heterosexual female (OR 2.2, 95% CI 1.3-3.7), using amphetamines (OR 1.7, 95% CI 1.1-2.6), and history of having gotten someone/becoming pregnant (OR 2.3, 95% CI 1.4-3.9). Youth who lived in an apartment were less likely to have received an STD test than youth who lived in other types of housing (OR .4, 95% CI .2-.9). Sexual risk behaviors such as inconsistent condom use (OR 1.0, 95% CI .6-1.4) and number of sexual partners over past 3 months (OR 1.1, 95% CI 1.0-1.1) were not predictive of STD testing over time. CONCLUSIONS: A need exists for interventions to target young newly homeless youth who engage in high-risk sexual behaviors to increase their STD testing rates and thereby decrease their risk for HIV infection.

Adolescent↗

Workforce reentry for people with HIV/AIDS: intervention effects and predictors of success.

Treatment that prolongs the lives of people with HIV/AIDS and improves their quality of life is relatively recent and little is known about factors that may predict their successful re-entry to the workforce. No data exist concerning the effectiveness of programs to assist people with HIV/AIDS in their efforts to return to work. We used logistic regression and Kaplan-Meier survival curves to predict return to work using data from 126 individuals who participated in an HIV/AIDS return to work program. Results from the 24 month follow-up revealed that program participation, general health, benefits status, and gender, predicted successful re-entry to the workforce. We discuss these findings in the context of the need for more explicitly-defined interventions, as well as the need for additional information on factors that may hinder or facilitate workforce re-entry among people with HIV/AIDS.

Adult↗