RESUMO
The Navajo Nation was heavily mined for uranium (U) during the cold-war leading to a legacy of >1100 abandoned U mining, milling and associated waste sites. The Navajo Birth Cohort Study was initiated to assess the effect of non-occupational legacy exposure to U during pregnancy on birth outcomes and child development. We report that 92% of babies with detectable urine U at birth were born from mothers who had urine U concentrations greater than national norms during pregnancy, indicative of prenatal exposure to U. To assess immune alterations associated with U exposure on both mothers and babies, we investigated associations between cytokine profiles and maternal U and associations of these measures with cytokine profiles in babies. Effect sizes for the differences in cytokine profiles were more evident among babies than mothers. Overall, there were seven cytokines (IFN-γ, IL-1ß, IL-2, IL-4, IL-10, GM-CSF, and TNF-α), for which the effect size for babies with higher than the national U concentrations was medium to large (ORs of 2.21 (1.08-4.52) through 1.71(0.76-3.83). In contrast, only three cytokines (IL-8, IL-12p70, and TNF-α) had effect sizes which almost reached medium strength (ORs of 1.64 (0.74-4.05) through 1.36 (0.65-2.87) in mothers with U above national norms. The effects of prenatal exposures to uranium and associated alterations in systemic immune responses resulting from U exposure could impact both maternal health as well as healthy child development through induction of inflammation, autoimmunity or other chronic diseases related to immune dysfunction that may affect long-term health.
Assuntos
Urânio , Feminino , Humanos , Recém-Nascido , Gravidez , Estudos de Coortes , Citocinas , Mães , Fator de Necrose Tumoral alfa , Urânio/toxicidadeRESUMO
Purpose: Around 5% of United States (U.S.) population identifies as Sexual and Gender Diverse (SGD), yet there is limited research around cancer prevention among these populations. We present multi-pronged, low-cost, and systematic recruitment strategies used to reach SGD communities in New Mexico (NM), a state that is both largely rural and racially/ethnically classified as a "majority-minority" state. Methods: Our recruitment focused on using: (1) Every Door Direct Mail (EDDM) program, by the United States Postal Services (USPS); (2) Google and Facebook advertisements; (3) Organizational outreach via emails to publicly available SGD-friendly business contacts; (4) Personal outreach via flyers at clinical and community settings across NM. Guided by previous research, we provide detailed descriptions on using strategies to check for fraudulent and suspicious online responses, that ensure data integrity. Results: A total of 27,369 flyers were distributed through the EDDM program and 436,177 impressions were made through the Google and Facebook ads. We received a total of 6,920 responses on the eligibility survey. For the 5,037 eligible respondents, we received 3,120 (61.9%) complete responses. Of these, 13% (406/3120) were fraudulent/suspicious based on research-informed criteria and were removed. Final analysis included 2,534 respondents, of which the majority (59.9%) reported hearing about the study from social media. Of the respondents, 49.5% were between 31-40 years, 39.5% were Black, Hispanic, or American Indian/Alaskan Native, and 45.9% had an annual household income below $50,000. Over half (55.3%) were assigned male, 40.4% were assigned female, and 4.3% were assigned intersex at birth. Transgender respondents made up 10.6% (n=267) of the respondents. In terms of sexual orientation, 54.1% (n=1371) reported being gay or lesbian, 30% (n=749) bisexual, and 15.8% (n=401) queer. A total of 756 (29.8%) respondents reported receiving a cancer diagnosis and among screen-eligible respondents, 66.2% reported ever having a Pap, 78.6% reported ever having a mammogram, and 84.1% reported ever having a colonoscopy. Over half of eligible respondents (58.7%) reported receiving Human Papillomavirus vaccinations. Conclusion: Study findings showcase effective strategies to reach communities, maximize data quality, and prevent the misrepresentation of data critical to improve health in SGD communities.