HPV Vaccine Misperceptions Among Hispanics/Latinos in Southern California.

BACKGROUND: Cervical and other vaccine-preventable HPV-associated cancers disproportionately impact Hispanic/Latinos in the USA. HPV vaccine uptake may be impacted by community agreement with common HPV vaccine misperceptions. It is unknown whether Hispanics/Latinos have a greater agreement with these misperceptions relative to non-Hispanic whites. METHODS: HPV vaccine misperceptions were assessed through a 12-item Likert scale included in a population health assessment mailed to households in the southwest United States. Linear regression models assessed the association between identifying as Hispanic/Latino and summed misperception score. RESULTS: Among the 407 individuals in the analytic sample, 111 (27.3%) were Hispanic/Latino and 296 (72.7%) were non-Hispanic white. On average, Hispanics/Latinos had a 3.03-point higher HPV vaccine misperception sum score relative to non-Hispanic whites, indicating greater agreement with misperceptions (95% confidence interval: 1.16-4.88; p < 0.01). DISCUSSION: Culturally relevant interventions are needed to address HPV vaccine misperceptions among Hispanics/Latinos as part of efforts toward HPV-associated cancer health equity.

Addressing COVID-19 vaccination equity for Hispanic/Latino communities by attending to aguantarismo: A Californian US-Mexico border perspective.

With an eye to health equity and community engagement in the context of the initial COVID-19 vaccine roll-out, the COVID-19-related concerns of the Latinx (Hispanic/Latino) community in southern San Diego (California, USA) were examined using 42 rapid, ethnographically-informed interviews and two focus groups conducted in early-mid 2021. An anthropologically oriented qualitative analysis delimited the cultural standpoint summarized as aguantarismo, which celebrates human durability in the face of socioeconomic hardship and the capacity to abide daily life's challenges without complaint. After characterizing aguantarismo, its role in both undermining and supporting vaccine uptake is explored. To avoid diverting attention from the structural factors underlying health inequities, the analysis deploys the theoretical framework of critical medical anthropology, highlighting inequities that gain expression in aguantarismo, and the indifference toward vaccination that it can support. In placing critical medical anthropology into conversation with the cultural values approach to public health, the analysis sheds new light on the diversity of human strategies for coping with infectious disease and uncovers new possibilities for effective vaccination promotion. Findings will be useful to public health experts seeking to convert non-vaccinators and optimize booster and pediatric COVID-19 vaccine communications. They will also contribute to the literature on cultural values in relation to Hispanic/Latino or border health more broadly, both by confirming the vital flexibility of cultural standpoints like aguantarismo and by documenting in situ what is to the social science and health literature, albeit not to cultural participants, a novel constellation.

Age-related differences in breast cancer mortality according to race/ethnicity, insurance, and socioeconomic status.

BACKGROUND: We assessed breast cancer mortality in older versus younger women according to race/ethnicity, neighborhood socioeconomic status (nSES), and health insurance status. METHODS: The study included female breast cancer cases 18 years of age and older, diagnosed between 2005 and 2015 in the California Cancer Registry. Multivariable Cox proportional hazards modeling was used to generate hazard ratios (HR) of breast cancer specific deaths and 95% confidence intervals (CI) for older (60+ years) versus younger (< 60 years) patients separately by race/ethnicity, nSES, and health insurance status. RESULTS: Risk of dying from breast cancer was higher in older than younger patients after multivariable adjustment, which varied in magnitude by race/ethnicity (P-interaction< 0.0001). Comparing older to younger patients, higher mortality differences were shown for non-Hispanic White (HR = 1.43; 95% CI, 1.36-1.51) and Hispanic women (HR = 1.37; 95% CI, 1.26-1.50) and lower differences for non-Hispanic Blacks (HR = 1.17; 95% CI, 1.04-1.31) and Asians/Pacific Islanders (HR = 1.15; 95% CI, 1.02-1.31). HRs comparing older to younger patients varied by insurance status (P-interaction< 0.0001), with largest mortality differences observed for privately insured women (HR = 1.51; 95% CI, 1.43-1.59) and lowest in Medicaid/military/other public insurance (HR = 1.18; 95% CI, 1.10-1.26). No age differences were shown for uninsured women. HRs comparing older to younger patients were similar across nSES strata. CONCLUSION: Our results provide evidence for the continued disparity in Black-White breast cancer mortality, which is magnified in younger women. Moreover, insurance status continues to play a role in breast cancer mortality, with uninsured women having the highest risk for breast cancer death, regardless of age.

Profiles of a Health Information-Seeking Population and the Current Digital Divide: Cross-Sectional Analysis of the 2015-2016 California Health Interview Survey.

BACKGROUND: Internet use for health information is important, given the rise of electronic health (eHealth) that integrates technology into health care. Despite the perceived widespread use of the internet, a persistent "digital divide" exists in which many individuals have ready access to the internet and others do not. To date, most published reports have compared characteristics of internet users seeking health information vs nonusers. However, there is little understanding of the differences between internet users seeking health information online and users who do not seek such information online. Understanding these differences could enable targeted outreach for health interventions and promotion of eHealth technologies. OBJECTIVE: This study aims to assess population-level characteristics associated with different types of internet use, particularly for seeking online health information. METHODS: The 2015-2016 California Health Interview Survey datasets were used for this study. Internet use was classified as never used the internet (Never use), ever used the internet but not to search for health information in the last 12 months (Use not for health), and ever used the internet and have used it to search for health information in the last 12 months (Use for health). Weighted multinomial logistic regression was used to assess sociodemographic and health characteristics associated with types of internet use. Findings are reported as odds ratios (ORs) with 95% CIs. RESULTS: Among 42,087 participants (weighted sample of 29,236,426), 19% reported Never Use of the internet, 27.9% reported Use not for health, and 53.1% reported Use for health. Compared to Never Use individuals, Use for health individuals were more likely to be younger (OR: 0.1, 95% CI 0.1-0.2 for ≥60 years vs <60 years), female (OR: 1.6, 95% CI 1.3-1.9 compared to males), and non-Hispanic white (OR: 0.54, 95% CI 0.4-0.7 for Latinos and OR: 0.2, 95% CI 0.2-0.4 for African Americans) and have a higher socioeconomic status (>400% of Federal Poverty Guidelines; OR: 1.3, 95% CI 1.4-2.4). Overall, characteristics for the Use not for health and Use for health groups were similar, except for those with lower levels of education and respondents not having visited a physician in the last year. For these two characteristics, the Use not for health group was more similar to the Never Use group. CONCLUSIONS: Our findings indicate that a digital divide characterized by sociodemographic and health information exists across three types of users. Our results are in line with those of previous studies on the divide, specifically with regard to disparities in use and access related to age, race/ethnicity, and socioeconomic status. Disparities in online health-seeking behavior may reflect existing disparities in health care access extending into a new era of health technology. These findings support the need for interventions to target internet access and health literacy among Never Use and Use not for health groups.