Introduction to Womens Interagency

What is/are Womens Interagency?

Womens Interagency - Samples and data from PLWH on ART from the Centers for AIDS Research Network of Integrated Clinical Systems and from matched HIV-uninfected patients (controls) from the Multicenter AIDS Cohort Study and the Women’s Interagency HIV Study were analyzed. ^[1] MonoDNAmAge and light alcohol consumption showed a negative linear relationship in the Women’s Interagency HIV Study (WIHS, β=-2. ^[2] Methods We assessed traditional and infection-related CKD risk factors and measured 14 urine biomarkers at baseline and at follow-up among women living with HIV in the Women’s Interagency Health Study (WIHS). ^[3] We thematically coded qualitative data from focus groups and interviews (N = 92) and conducted mediation analyses with quantitative survey data (N = 1455) collected from Women’s Interagency HIV Study participants. ^[4] We conducted 89 in-depth interviews at six Women’s Interagency HIV Study (WIHS) sites with women living with HIV (n = 59) and HIV-negative women (n = 30) from 2017 to 2018. ^[5] OBJECTIVES/GOALS: We previously reported that persistence/progression of cervical intraepithelial neoplasia-2 (CIN2) was uncommon in women living with HIV (WLH) from the Women’s Interagency HIV Study (WIHS, now MWCCS). ^[6] We estimated changes in mortality risk from improvement in three measures of area-level socioeconomic context among participants of the Women’s Interagency HIV Study. ^[7] Setting & Participants 647 women living with HIV infection enrolled in the Women’s Interagency Health Study. ^[8] We sought to identify correlates of syphilis among women enrolled in the Women’s Interagency HIV Study (WIHS) to inform targeted interventions. ^[9] Methods We conducted 24 in-depth interviews with women enrolled in the San Francisco and Atlanta sites of the Women’s Interagency HIV study (WIHS). ^[10] Participants 2553 participants enrolled in the Food Insecurity Sub-Study of the Women’s Interagency HIV Study, a multisite cohort study of US women living with HIV and demographically similar HIV-seronegative women. ^[11] We analyzed data from the Women’s Interagency HIV Study using multiple multivariable (GEE) logistic regression models to assess the relationship between BMI, BV and blood glucose. ^[12] In this study, we analyzed clinical data of 1,858 participants from the Women’s Interagency HIV Study (WIHS) to characterize risk factors associated with changes in the APRI and FIB-4 surrogate measurements for advanced fibrosis. ^[13]