Food Insecurity in the Rural South in the Wake of the COVID-19 Pandemic.

Food insecurity in rural communities in the Southern US continues to grow, especially in the wake of the COVID-19 pandemic. Understanding the characteristics of food-insecure individuals and families in this region is critical for developing creative strategies for eliminating this health disparity issue. A food insecurity survey was given to attendees at food-security events held in several counties in one Southern US state. A descriptive analysis of food insecurity in this region is presented, and recommendations for addressing food insecurity among underserved and disadvantaged populations are suggested.

The 5Ws of Racial Equity in Research: A Framework for Applying a Racial Equity Lens Throughout the Research Process.

Ensuring equity in research is a critical step in advancing health equity. In this perspective, the authors introduce a guiding framework for advancing racial equity in research processes, environments, and among the research workforce, the 5Ws of Racial Equity in Research. Centering their discussion on the 5Ws: Who, What, When, Where, and Why, they use historical and contemporary examples of research inequities to demonstrate how these five simple questions can encourage open discussion and proactive planning for equity in research. They close with an acknowledgment of the framework's broad utility and a researcher-directed call to action.

Think Inside the Box: the Heterogeneity of "in Risk" Among "at Risk" Female African American Adolescents in North Carolina.

INTRODUCTION: An abundance of research investigates the health of often referred to as "at risk" or "high risk" youth from underserved communities and usually racial/ethnic minorities. These ubiquitous terms relate to poverty, violence, and unsafe behaviors (e.g., sex without condoms, alcohol, and drug use). METHODS: This analysis distinguished the heterogeneity of risks among African American female adolescents recruited for an intervention study from underserved communities in North Carolina. Eligibility included: ages 16-19, considered or dropped out of school, never completed high school, and during the past 3 months had sex with a male partner and used drugs or alcohol. A variable was created to represent the continuum of risk comprised of history of homelessness, or trading sex, or current heavy alcohol and marijuana use. Participants fell into 0, 1, or 2-3 categories. Ordinal logistic regression estimated the odds of adverse poor outcomes by category. Linear regression estimated reduction in material and emotional support by category. RESULTS: Of the 237 participants, 59.5%, 27.8%, and 12.7% were in 0, 1, or 2-3 categories, respectively. Relative to adolescents in 0 categories, participants in other categories were more likely to report food insecurity (OR = 3.27, 95%CI [1.8, 5.94]); past arrest (OR = 3.56 [2.08, 6.09]); run away (OR = 3.30 [1.79, 6.10]); multiple sex partners (2.97 [1.61, 5.48]); and vaginal/anal sexual abuse (OR = 3.21[1.73, 5.96]). Material and emotional support was significantly lower for participants in 2-3 risk categories. CONCLUSIONS: Vague use of "at risk" fails to recognize the heterogeneity of experiences and needs of underserved African American youth.

The biobehavioral Women's Health CoOp in Pretoria, South Africa: study protocol for a cluster-randomized design.

BACKGROUND: South Africa has 6.4 million adults over the age of 15 living with HIV. Gender inequality issues continue to drive the HIV epidemic in South Africa, where Black African women bear the greatest HIV burden. Limited access to services; little capacity to negotiate sex and condom use; and other legal, social, and economic inequities make women highly vulnerable to HIV infection. Behavioral interventions have been shown to decrease risk behaviors, but they have been less successful in reducing HIV incidence. Conversely, biomedical prevention strategies have proven to be successful in reducing HIV incidence, but require behavioral interventions to increase uptake and adherence. Consequently, there is a need for integrated approaches that combine biomedical and behavioral interventions. Effective combination prevention efforts should comprise biomedical, behavioral, and structural programming proven in randomized trials that focuses on the driving forces and key populations at higher risk of HIV infection and transmission. METHODS/DESIGN: This prospective, geographically clustered randomized field experiment is enrolling participants into two arms: a control arm that receives standard HIV testing and referral for treatment; and an intervention arm that receives an evidence-based, woman-focused behavioral intervention that emphasizes risk reduction and retention, the Women's Health CoOp. We divided the city of Pretoria into 14 mutually exclusive geographic zones and randomized these zones into either the control arm or the intervention arm. Outreach workers are recruiting drug-using women from each zone. At baseline, eligible participants complete a questionnaire and biological testing for HIV, recent drug use, and pregnancy. Follow-up interviews are completed at 6 and 12 months. DISCUSSION: The biobehavioral intervention in this study merges an efficacious behavioral HIV prevention intervention for women with biomedical prevention through HIV treatment as prevention using a Seek, Test, Treat and Retain strategy. This combination biobehavioral intervention is designed to (1) improve the quality of life and reduce HIV infectiousness among women who are HIV positive, and (2) reduce HIV risk behaviors among women regardless of their HIV status. If efficacious, this intervention could help control the HIV epidemic in South Africa. TRIAL REGISTRATION: Trial registration no: NCT01497405.

Perceived need for substance use treatment among young women from disadvantaged communities in Cape Town, South Africa.

BACKGROUND: Initiation of treatment for substance use disorders is low among young women from disadvantaged communities in Cape Town, South Africa. Yet little is known about the factors that influence perceived need for treatment (a determinant of treatment entry) within this population. METHODS: Baseline data on 720 young, drug-using women, collected as part of a randomized field experiment were analyzed to identify predisposing, enabling and health need factors associated with perceived need for treatment. RESULTS: Overall, 46.0% of our sample perceived a need for treatment. Of these participants, 92.4% wanted treatment for their substance use problems but only 50.1% knew where to access services. In multivariable logistic regression analyses, we found significant main effects for ethnicity (AOR = 1.54, 95% CI = 1.05-1.65), income (AOR = 0.96, 95% CI = 0.93-0.99), anxiety (AOR = 1.22, 95% CI = 1.05-1.45), and not having family members with drug problems (AOR = 1.45, 95% CI = 1.05-2.04) on perceived need for treatment. When the sample was stratified by methamphetamine use, income (AOR = 0.87, 95% CI = 0.79-0.96), awareness of treatment services (AOR =1.84, 95% CI = 1.03-3.27), anxiety (AOR =1.41, 95% CI = 1.06-1.87) and physical health status (AOR = 6.29, 95% CI = 1.56-25.64) were significantly associated with perceived need for treatment among those who were methamphetamine-negative. No variables were significantly associated with perceived need for treatment among participants who were methamphetamine-positive. CONCLUSIONS: A sizeable proportion of young women who could benefit from substance use treatment do not believe they need treatment, highlighting the need for interventions that enhance perceived need for treatment in this population. Findings also show that interventions that link women who perceive a need for treatment to service providers are needed. Such interventions should address barriers that limit young women's use of services for substance use disorders.

Contextualizing gender differences and methamphetamine use with HIV prevalence within a South African community.

BACKGROUND: This study was conducted in a large Black African township outside of Cape Town, South Africa, where HIV infection has been endemic at extremely high levels for years. Problems associated with high HIV prevalence are compounded by gender inequality and high rates of gender-based violence exacerbated by heavy alcohol use and increasing methamphetamine use. METHODS: Informal drinking establishments (known as shebeens) were geocoded and mapped. Based on visual examination, we identified 36 neighbourhoods, each of which contained between three to seven drinking venues clustered together. Neighbourhoods were separated from each other by at least 200m. We randomly selected 30 of the 36 neighbourhoods. Outreach workers screened males in shebeens and screened their female partners. This analysis includes 580 study participants recruited from 30 neighbourhoods between 2010 and 2012. All participants completed a baseline questionnaire that included individual-level, couple-level, and neighbourhood-level measures of alcohol and other drug use, HIV infection, and HIV risk behaviours. Multilevel fixed effects regression analyses stratified by gender were conducted to examine correlates of HIV infection. RESULTS: Women were twice as likely as men to be HIV infected, yet they reported fewer sex partners. Neighbourhood prevalence of HIV was correlated with greater likelihood of HIV infection among women, but not men. Neighbourhood methamphetamine use was marginally associated with HIV among women but not among men. At the individual level, heavy alcohol use was marginally associated with HIV infection among men but not among women. Having an HIV positive partner was the strongest correlate of being HIV positive among both men and women. CONCLUSION: Findings from this study underscore the need for policy makers to direct scarce resources to the communities, places within communities, and populations, especially vulnerable women, where the impact on HIV prevention and onward transmission will be greatest.