The Be REAL Framework: Enhancing Relationship-Building Skills for Community Health Workers.

Trust plays an integral part in the effective functioning of public health systems. During the COVID-19 pandemic, distrust of public health fueled vaccine hesitancy and created additional barriers to immunization. Although most Americans have received at least one COVID-19 vaccine, the percentage of fully immunized adults remains suboptimal. To reach vaccine-hesitant communities, it is vital that public health be worthy of trust. As trusted members of their communities, community health workers (CHWs) can serve as ideal messengers and conversation partners for vaccination decision-making. We developed the Be REAL framework and training materials to prepare CHWs to work with vaccine-hesitant communities nationwide. Through the four steps of "Relate," "Explore," "Assist," and "Leave (the door open)," CHWs were taught to prioritize relationship building as a primary goal. In this shift from focusing on adherence to public health recommendations (e.g., get vaccinated) to building relationships, the value of vaccine uptake is secondary to the quality of the relationship being formed. The Be REAL framework facilitates CHWs harnessing the power they already possess. The goal of the Be REAL framework is to foster true partnership between CHWs and community members, which in turn can help increase trust in the broader public health system beyond adherence to a specific recommendation.

Corrigendum: LetsTalkShots: personalized vaccine risk communication.

[This corrects the article DOI: 10.3389/fpubh.2023.1195751.].

Allostatic load in the US general population: Race and educational intersection.

Objectives: Educational attainment is a protective factor against poor health, but high educational attainment has a weaker effect on black people than on white people; this pattern has been called marginalization-related diminished returns (MDRs). Using a national sample of white people and black people 25 years and above, this study estimates the association between high educational attainment and allostatic load between black people and white people, and within each group. Study design: This cross-sectional study uses data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2016, including 2761 black people and 7058 white people. The outcome variable of interest was the Allostatic Load Scale (AL). We created the allostatic load scale by using 8 biomarkers, then created a binary variable (if ALS≥4 as 1 and ALS<4 as 0) to present elevated AL. Methods: We used several weighted modified Poisson regression models controlling for educational attainment (a predictor) and race (a moderator variable), age, sex, and marital status. We also controlled the models for smoking and drinking status as health behavior variables. As a sensitivity analysis, we ran several sets of regression analysis using the AL scale as a continuous outcome variable. Results: We found an inverse association between AL and educational attainment. The interaction between race and education has resulted in an inverse association between AL and educational attainment, with a weaker association in black people than in white people. We found similar findings by running regression models with AL as a continuous variable. Conclusions: We observed a weaker association between educational attainment and AL in black people than in white people, suggesting that educational attainment has more robust protection against allostatic load for white people than black people.

LetsTalkShots: personalized vaccine risk communication.

Introduction: Vaccine hesitancy is a global health threat undermining control of many vaccine-preventable diseases. Patient-level education has largely been ineffective in reducing vaccine concerns and increasing vaccine uptake. We built and evaluated a personalized vaccine risk communication website called LetsTalkShots in English, Spanish and French (Canadian) for vaccines across the lifespan. LetsTalkShots tailors lived experiences, credible sources and informational animations to disseminate the right message from the right messenger to the right person, applying a broad range of behavioral theories. Methods: We used mixed-methods research to test our animation and some aspects of credible sources and personal narratives. We conducted 67 discussion groups (n = 325 persons), stratified by race/ethnicity (African American, Hispanic, and White people) and population (e.g., parents, pregnant women, adolescents, younger adults, and older adults). Using a large Ipsos survey among English-speaking respondents (n = 2,272), we tested animations aligned with vaccine concerns and specific to population (e.g., parents of children, parents of adolescents, younger adults, older adults). Results: Discussion groups provided robust feedback specific to each animation as well as areas for improvements across animations. Most respondents indicated that the information presented was interesting (85.5%), clear (96.0%), helpful (87.0%), and trustworthy (82.2%). Discussion: Tailored vaccine risk communication can assist decision makers as they consider vaccination for themselves, their families, and their communities. LetsTalkShots presents a model for personalized communication in other areas of medicine and public health.

Polycystic ovary syndrome and postpartum depression among Hispanics and non-Hispanics: a population-based study.

BACKGROUND: Women with polycystic ovary syndrome experience increased health complications during and after pregnancy, including a higher prevalence of postpartum depression. Although previous research has found that Hispanic women with polycystic ovary syndrome experience heightened hyperandrogenism and metabolic effects compared with non-Hispanic women, it is unknown whether they experience other polycystic ovary syndrome-related comorbidities, such as postpartum depression, to a greater degree than their non-Hispanic counterparts. OBJECTIVE: This study aimed to determine the associations among a self-reported prepregnancy diagnosis of polycystic ovary syndrome, polycystic ovary syndrome symptoms (irregular menstruation, hirsutism, and acne), and postpartum depression among a national sample of at-risk women and evaluated the potential effect modification by Hispanic ethnicity. STUDY DESIGN: The study population included 52,267 postpartum (2-6 months) women who completed the US Pregnancy Risk Assessment Monitoring System Phase 8 questionnaire (2016-2018). Data from US states that captured self-reported polycystic ovary syndrome symptoms in the 3 months before pregnancy (n=17 states) were used. Moreover, we performed a subanalysis restricted to data from the Utah Pregnancy Risk Assessment Monitoring System Phase 8 questionnaire (2016-2019; n=5814), as it was the only state that considered self-reported polycystic ovary syndrome symptoms during this period. Postpartum depressed mood and anhedonia, the postpartum depression outcome measurements, were assessed via the following questions, respectively: (1) "Since your new baby was born, how often have you felt down, depressed, or hopeless?" and (2) "Since your new baby was born, how often have you had little interest or little pleasure in doing things you usually enjoyed?" In addition, postpartum depressed mood and anhedonia were assessed separately and as a combined variable. Here, weighted adjusted prevalence ratios and 95% confidence intervals were used to assess the association between polycystic ovary syndrome and postpartum depressed mood and anhedonia among Hispanic women and non-Hispanic women while taking into account preconception sociodemographics, lifestyle, and health history confounding factors. RESULTS: The national study population was composed of 16.8% of Hispanic ethnicity, with 11.4% Hispanic women and 17.1% non-Hispanic women reporting prepregnancy polycystic ovary syndrome symptoms. The study found no association between women reporting prepregnancy polycystic ovary syndrome vs women without polycystic ovary syndrome and the prevalence of postpartum depressed mood and/or anhedonia. Moreover, the results were null when we stratified by Hispanic ethnicity. The Utah study population was composed of 15.5% of women of Hispanic ethnicity, with 5.8% of Hispanic women and 7.4% of non-Hispanic women reporting prepregnancy polycystic ovary syndrome. Symptom-based polycystic ovary syndrome (having irregular menstruation with hirsutism or irregular menstruation with acne), compared with having regular menstruation in the Utah sample, was associated with a 1.54 higher adjusted prevalence ratio (95% confidence interval, 1.14-2.09) for postpartum depressed mood and anhedonia. Stratified analyses by ethnicity indicated a 2- to 5-fold higher prevalence of postpartum depression with symptom-based polycystic ovary syndrome for Hispanic women and a 1.5-fold higher prevalence for non-Hispanic women. CONCLUSION: In this US population-based study, a self-reported prepregnancy diagnosis of polycystic ovary syndrome was not associated with postpartum depression. However, self-reported polycystic ovary syndrome symptoms, including irregular menstruation and acne and/or hirsutism, were associated with a higher probability of postpartum depression, most prominently for Hispanic women. Our findings suggested that capturing polycystic ovary syndrome symptoms among at-risk women may be important for identifying associations with postpartum depression and potentially other comorbidities.

How Income Inequality and Race Concentrate Depression in Low-Income Women in the US; 2005-2016.

Aim: To estimate the association between income and depressive symptoms in adult women, ages 20 years and older. Methods: Data for this study came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES). We measured the presence of depressive symptoms by using a 9-item PHQ (Public Health Questionnaire, PHQ-9) and the Poverty to Income Ratio (PIR) as a proxy for income. We employed Negative Binomial Regression (NBRG) and logistic regression models in a sample of 11,420 women. We adjusted models by age, racial/ethnic groups, marital status, education, health insurance, comorbidity, and utilization of mental health professionals. We calculated the Gini Coefficient (GC) as a measure of income inequality, using PIR. Results: Between 2005 and 2016, 20.1% of low-PIR women suffered from depression (PHQ ≥10) compared with 12.0% of women in medium-PIR and 5.0% in high-PIR. The highest probabilities of being depressed were in Black Non-Hispanics (BNH) and Hispanics (12.0%), and then in White NH (WNH; 9.1%). The results of NBRG have shown that women in medium-PIR (0.90 [CI: 0.84-0.97]) and high-PIR 0.76 (CI: 0.70-0.82) had a lower incidence-rate ratio than women in low-PIR. The logistic regression results showed that income is protective in High-PIR groups (OR = 0.56, CI [0.43-0.73]). Conclusion: Policies to treat depression should prioritize the needs of low-income women of all racial groups and women.