Suchergebnisse

Abstract
Housing plays a critical role in the care outcomes of individuals living with a HIV, yet few studies have examined the unique housing profiles of women living with HIV (WLH), especially among those belonging to low-income racial/ethnic minority groups. In this study, authors conducted a latent class analysis to generate latent profiles of women (N = 1,501) according to their housing status and household characteristics and assessed associations between classes and sociodemographic and behavioral characteristics and between classes and three HIV care outcomes: retention in care, viral suppression, and sustained viral suppression. A three-class model was selected using five dichotomized housing indicators: housing status, head of household status, living with minors, living with another adult, and disclosure of HIV status to adults with whom they live. While class 1 and class 2 had comparable HIV care outcomes, women in class 3—who were predominately unstably housed, living alone, and did not disclose their HIV status with those with whom they lived—had significantly lower crude odds of successful care outcomes. When accounting for sociodemographic and behavioral factors, significant differences in retention in care persisted. Findings underscore the need for tailored interventions for subgroups of low-income WLH and provide contextual details around the role of housing experiences.

AbstractFew studies have utilized person-centered approaches to examine co-occurrence of risk factors among pregnant women in low-and middle-income settings. The objective of this study was to utilize latent class analysis (LCA) to identify sociodemographic patterns and assess the association of these patterns on preterm birth (PTB) and/or low birth weight (LBW) in rural Mysore District, India. Secondary data analysis of a prospective cohort study among 1540 pregnant women was conducted. Latent class analysis was performed to identify distinct group memberships based on a chosen set of sociodemographic factors. Binary logistic regression was conducted to estimate the association between latent classes and preterm birth and low birth weight. LCA yielded four latent classes. Women belonging to Class 1 "low socioeconomic status (SES)/early marriage/multigravida/1 child or more", had higher odds of preterm birth (adjusted Odds Ratio (aOR): 95% Confidence Intervals (CI): 1.77, 95% CI: 1.05-2.97) compared to women in Class 4 "high SES/later marriage/primigravida/no children". Women in Class 2 "low SES/later marriage/primigravida/no children" had higher odds of low birth weight (aOR: 2.52, 95% CI: 1.51-4.22) compared to women in Class 4. Women less than 20 years old were twice as likely to have PTB compared to women aged 25 years and older (aOR: 2.00, 95% CI: 1.08-3.71). Hypertension (>140/>90 mm/Hg) was a significant determinant of PTB (aOR: 2.28, 95% CI: 1.02-5.07). Furthermore, women with a previous LBW infant had higher odds of delivering a subsequent LBW infant (aOR: 2.15, 95% CI: 1.40-3.29). Overall study findings highlighted that woman belonging to low socioeconomic status, and multigravida women had increased odds of preterm birth and low birth weight infants. Targeted government programs are crucial in reducing inequalities in preterm births and low birth weight infants in rural Mysore, India.