Prevalence and 1-year incidence of frailty among women with and without HIV in the Women's Interagency HIV Study

A previous cross-sectional analysis of 2028 women in the Women’s Interagency HIV Study (WIHS), who were on average 39 years old, found a frailty prevalence of 17% and 10% in women with or at risk for HIV, respectively [1]. To our knowledge, the only two longitudinal studies of frailty among people with HIV were conducted in the Multicenter AIDS Cohort Study (MACS), which includes only men [2,3]. Data on the distribution of frailty components are limited, and have not been reported for HIV-seropositive people in the United State

Association between BMI and periodontitis in women living with or at risk for HIV

Aims: Currently, there is no data available assessing the association between body mass index (BMI) and periodontitis among women living with HIV (WLWH). This study aims to investigate this association among WLWH and women at risk for HIV (WRH) in the United States. Methods and results: Data from 351 WLWH and 52 WRH participants from the Women's Interagency HIV Study having pocket depths and clinical periodontal attachment loss assessments in 2003–2004 were included. Multinomial logistic regression analyses in the full sample assessed the relationship between BMI (underweight/normal, overweight, or obese) and periodontitis by severity (mild, moderate, severe), adjusting for study sites, age, education, annual household income, smoking, alcohol consumption, and diabetes. Overall, 75.2% women (76.0% WLWH; 69.0% WRH) had periodontitis. Moreover, 75.0% obese and 75.3% overweight women were affected by periodontitis. In the full sample, adjusted odds ratio (aOR) of having mild, moderate, and severe periodontitis in obese women were: 1.14 (95% confidence interval [CI]: 0.51–2.52), 1.02 (95% CI: 0.46–2.29), and 0.24 (95% CI: 0.06–1.07), respectively, and in overweight women: 0.70 (95% CI: 0.31–1.58), 0.85 (95% CI: 0.38–1.90), and 0.31 (95% CI: 0.08–1.15), respectively. Conclusions: Even with high prevalence of periodontitis among women with or without HIV infection in this cohort, this study does not provide evidence of an association between BMI and periodontitis

Impacts of Medicaid Expansion on Health Insurance and Coverage Transitions among Women with or at Risk for HIV in the United States

Background: As employment, financial status, and residential location change, people can gain, lose, or switch health insurance coverage, which may affect care access and health. Among Women's Interagency HIV Study participants with HIV and participants at risk for HIV attending semiannual visits at 10 U.S. sites, we examined whether the prevalence of coverage types and rates of coverage changes differed by HIV status and Medicaid expansion in their states of residence. Methods: Geocoded addresses were merged with dates of Medicaid expansion to indicate, at each visit, whether women lived in Medicaid expansion states. Age-adjusted rate ratios (RRs) and rate differences of self-reported insurance changes were estimated by Poisson regression. Results: From 2008 to 2018, 3,341 women (67% Black, 71% with HIV) contributed 43,329 visits at aged less than 65 years (27% under Medicaid expansion). Women with and women without HIV differed in their proportions of visits at which no coverage (14% vs. 19%; p < .001) and Medicaid enrollment (61% vs. 51%; p < .001) were reported. Women in Medicaid expansion states reported no coverage and Medicaid enrollment at 4% and 69% of visits, respectively, compared with 20% and 53% of visits for those in nonexpansion states. Women with HIV had a lower rate of losing coverage than those without HIV (RR, 0.81; 95% confidence interval [CI], 0.70 to 0.95). Compared with nonexpansion, Medicaid expansion was associated with lower coverage loss (RR, 0.62; 95% CI, 0.53 to 0.72) and greater coverage gain (RR, 2.32; 95% CI, 2.02 to 2.67), with no differences by HIV status. Conclusions: Both women with HIV and women at high risk for HIV in Medicaid expansion states had lower coverage loss and greater coverage gain; therefore, Medicaid expansion throughout the United States should be expected to stabilize insurance for women and improve downstream health outcomes

Associations between population density and clinical and sociodemographic factors in women living with HIV in the Southern United States

To explore the associations of urbanicity with clinical/behavioral outcomes and sociodemographic factors among women living with HIV in the Southern United States, 523 participants of the Women’s Interagency HIV Study were classified into population density quartiles. Rural-Urban Commuting Area codes revealed that 7% resided in areas where >30% commute to urban areas, 2% resided in small towns or rural areas, and 91% resided in varying densities of urban areas. Although women in lower density, mostly suburban areas reported higher socioeconomic indicators such as advanced education and greater annual household income, larger proportions of women in the lowest density quartile perceived discrimination in health care settings and agreed with several internalized HIV stigma scale items. Women in the lower quartiles had higher CD4 counts, while those in the lowest quartile were more likely to have a suppressed HIV viral load, report being employed, and not report a history of drug use or current heavy alcohol use. More research is needed to understand the interplay between population density and mechanisms contributing to HIV control as well as increased internalized stigma and perceived discrimination, along with how to target interventions to improve outcomes for individuals with HIV across urban, suburban, and rural areas

Poverty, Deprivation, and Mortality Risk among Women with HIV in the United States

Background: Prior studies suggest neighborhood poverty and deprivation are associated with adverse health outcomes including death, but evidence is limited among persons with HIV, particularly women. 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. Methods: Starting in October 2013, we linked geocoded residential census block groups to the 2015 Area Deprivation Index (ADI) and two 2012-2016 American Community Survey poverty variables, categorized into national tertiles. We used parametric g-computation to estimate, through March 2018, impacts on mortality of improving each income or poverty measure by one and two tertiles maximum versus no improvement. Results: Of 1596 women with HIV (median age 49), 91 (5.7%) were lost to follow-up and 83 (5.2%) died. Most women (62%) lived in a block group in the tertile with the highest proportions of individuals with income:poverty <1; 13% lived in areas in the tertile with the lowest proportions. Mortality risk differences comparing a one-tertile improvement (for those in the two highest poverty tertiles) in income:poverty <1 versus no improvement increased over time; the risk difference was -2.2% (95% confidence interval [CI] = -3.7, -0.64) at 4 years. Estimates from family income below poverty level (-1.0%; 95% CI = -2.7, 0.62) and ADI (-1.5%; 95% CI = -2.8, -0.21) exposures were similar. Conclusions: Consistent results from three distinct measures of area-level socioeconomic environment support the hypothesis that interventions to ameliorate neighborhood poverty or deprivation reduce mortality risk for US women with HIV. See video abstract at, http://links.lww.com/EDE/B863

Socioeconomic, Psychosocial, and Clinical Factors Associated with Employment in Women with HIV in the United States: A Correlational Study

Employment is a social determinant of health, and women living with HIV (WLWH) are often underemployed. This correlational study examined the socioeconomic, psychosocial, and clinical factors associated with employment among WLWH (n = 1,357) and women at risk for HIV (n = 560). Descriptive and inferential statistics were used to evaluate factors associated with employment status. Employment was associated (p ≤.05) with better socioeconomic status and quality of life (QOL), less tobacco and substance use, and better physical, psychological, and cognitive health. Among WLWH, employment was associated (p ≤.05) with improved adherence to HIV care visits and HIV RNA viral suppression. Using multivariable regression modeling, differences were found between WLWH and women at risk for HIV. Among WLWH, household income, QOL, education, and time providing childcare remained associated with employment in adjusted multivariable analyses (R2=.272, p &lt;.001). A better understanding of the psychosocial and structural factors affecting employment is needed to reduce occupational disparities among WLWH

Predicting diabetes risk among HIV-positive and HIV-negative women

Objective:To assess the performance of an adapted American Diabetes Association (ADA) risk score and the concise Finnish Diabetes Risk Score (FINRISC) for predicting type 2 diabetes development in women with and at risk of HIV infection.Design:Longitudinal analysis of the Women's Interagency HIV Study.Methods:The women's Interagency HIV Study is an ongoing prospective cohort study of women with and at risk for HIV infection. Women without prevalent diabetes and 3-year data on fasting blood glucose, hemoglobin A1c, self-reported diabetes medication use, and self-reported diabetes were included. ADA and FINRISC scores were computed at baseline and their ability to predict diabetes development within 3 years was assessed [sensitivity, specificity and area under the receiver operating characteristics (AUROC) curve].Results:A total of 1111 HIV-positive (median age 41, 60% African American) and 454 HIV-negative women (median age 38, 63% African-American) were included. ADA sensitivity did not differ between HIV-positive (77%) and HIV-negative women (81%), while specificity was better in HIV-negative women (42 vs. 49%, P = 0.006). Overall ADA discrimination was suboptimal in both HIV-positive [AUROC = 0.64 (95% CI: 0.58, 0.70)] and HIV-negative women [AUROC = 0.67 (95% CI: 0.57, 0.77)]. FINRISC sensitivity and specificity did not differ between HIV-positive (72 and 49%, respectively) and HIV-negative women (86 and 52%, respectively). Overall FINRISC discrimination was suboptimal in HIV-positive [AUROC = 0.68 (95% CI: 0.62, 0.75)] and HIV-negative women [AUROC = 0.78 (95% CI: 0.66, 0.90)].Conclusion:Model performance was suboptimal in women with and at risk of HIV, while greater misclassification was generally observed among HIV-positive women. HIV-specific risk factors known to contribute to diabetes risk should be explored in these models

Premature and early menopause among US women with or at risk for HIV

Objective:Little is known about the prevalence and treatment of premature and early menopause among people with HIV. We described premature and early menopause and subsequent hormonal treatment in a longitudinal cohort of women living with or at risk for HIV in the US.Methods:Data from the Women's Interagency HIV Study between 2008 and 2020 were analyzed to describe premature and early menopause among cohort participants under the age of 51.Results:Of 3,059 eligible women during the study period, 1% (n=35) underwent premature menopause before age 41, 3% (n=101) underwent menopause between ages 41 and 46, and 21% (n=442) underwent menopause between ages 46 and 50, inclusive. Of participants who experienced menopause before age 41, between age 41 and 45, and between ages 46 and 50, 51%, 24%, and 7% (respectively) received either menopausal hormone therapy or hormonal contraception.Conclusion:These findings suggest that disparities in receipt of recommended hormone therapy for premature and early menopause may contribute, in part, to evident health disparities, such as cardiovascular disease, osteoporosis, and overall mortality. They also suggest a substantial need for education among people experiencing early menopause and their providers, with the goal of improving access to hormone therapy based on guidelines to address health disparities and minimize future health consequences

Neighborhood Poverty and Control of HIV, Hypertension, and Diabetes in the Women’s Interagency HIV Study

Neighborhoods with high poverty rates have limited resources to support residents’ health. Using census data, we calculated the proportion of each Women’s Interagency HIV Study participant’s census tract (neighborhood) living below the poverty line. We assessed associations between neighborhood poverty and (1) unsuppressed viral load [VL] in HIV-seropositive women, (2) uncontrolled blood pressure among HIV-seropositive and HIV-seronegative hypertensive women, and (3) uncontrolled diabetes among HIV-seropositive and HIV-seronegative diabetic women using modified Poisson regression models. Neighborhood poverty was associated with unsuppressed VL in HIV-seropositive women (> 40% versus ≤ 20% poverty adjusted prevalence ratio (PR), 1.42; 95% confidence interval (CI) 1.04–1.92). In HIV-seronegative diabetic women, moderate neighborhood poverty was associated with uncontrolled diabetes (20–40% versus ≤ 20% poverty adjusted PR, 1.75; 95% CI 1.02–2.98). Neighborhood poverty was associated with neither uncontrolled diabetes among HIV-seropositive diabetic women, nor uncontrolled hypertension in hypertensive women, regardless of HIV status. Women living in areas with concentrated poverty may need additional resources to control health conditions effectively

A new smoking cessation 'cascade' among women with or at risk for HIV infection

Objectives:The aim of this study was to define a smoking cessation 'cascade' among USA women with and without HIV and examine differences by sociodemographic characteristics.Design:An observational cohort study using data from smokers participating in the Women's Interagency HIV Study between 2014 and 2019.Methods:We followed 1165 women smokers with and without HIV from their first study visit in 2014 or 2015 until an attempt to quit smoking within approximately 3 years of follow-up, initial cessation (i.e. no restarting smoking within approximately 6 months of a quit attempt), and sustained cessation (i.e. no restarting smoking within approximately 12 months of a quit attempt). Using the Aalen-Johansen estimator, we estimated the cumulative probability of achieving each step, accounting for the competing risk of death.Results:Forty-five percent of smokers attempted to quit, 27% achieved initial cessation, and 14% achieved sustained cessation with no differences by HIV status. Women with some post-high school education were more likely to achieve each step than those with less education. Outcomes did not differ by race. Thirty-six percent [95% confidence interval (95% CI): 31-42] of uninsured women attempted to quit compared with 47% (95% CI: 44-50) with Medicaid and 49% (95% CI: 41-59) with private insurance.Conclusion:To decrease smoking among USA women with and without HIV, targeted, multistage interventions, and increased insurance coverage are needed to address shortfalls along this cascade