RESUMO
Focal Epithelial Hyperplasia or Multifocal Epithelial Hyperplasia (MEH), also known as Heck's disease, is considered a rare pathology of the oral mucosa associated with human papillomavirus types 13 and 32. For reasons not fully understood, MEH disproportionally affects specific populations of indigenous groups around the world. After the first reports in Native Americans, the epidemiology of the disease has been described in different geographical regions mainly related to particular indigenous populations, the majority of the studies are clinical case reports, but the biological determinants are still unknown. Some suggested risk factors include chronic irritation caused by smoking, a galvanic current, vitamin A deficiency, and/or a familial-genetic predisposition; however, the scientific evidence is not solid due the scarcity of case-control studies or longitudinal cohorts. In light of the evidence, further study of the pathology of MEH should be considered and proper clinical trials for effective treatments should be designed. The disease warrants further study as it is considered as neglected by research and it affects rural/remote population groups usually living in adverse socioeconomic conditions.
Assuntos
Hiperplasia Epitelial Focal , Mucosa Bucal , Infecções por Papillomavirus , Humanos , Hiperplasia Epitelial Focal/patologia , Mucosa Bucal/patologia , Fatores de Risco , Infecções por Papillomavirus/complicações , Etnicidade , Papillomaviridae/genética , Papillomaviridae/patogenicidadeRESUMO
In Brazil, ethnic-racial inequalities exist in all fields, obstructing access to goods, services, and opportunities, including healthcare services. However, there are no apparent studies that assess, at a national level, ethnic-racial disparities in poisoning cases, emphasizing skin color as a determining factor. The study aimed to examine the relationship between race/ethnicity and general poisoning cases, by medications, pesticides, and drug of abuse in Brazilian states. Poisoning cases data were extracted for the years 2017, 2018, and 2019. Notification data for general poisoning cases and toxic agents were collected: medications, pesticides, and drugs of abuse. Data were categorized between whites and non-whites (blacks, browns, and indigenous) and without information on skin color/ethnicity. Rates of poisonings amongst ethnic-racial groups and cases of not declared skin color as well as relative risk (RR) of poisoning among non-whites were calculated. All states in the North, Northeast (states with the worst Human Development Index), Midwest, and 2 states in the Southeast exhibited higher rates of poisoning cases per 100,000 inhabitants among non-whites. The RR values for nonwhite individuals were higher in the North and Northeast regions for all types of poisonings. The type of poisoning cases that presented the highest RR for non-whites over the 3 years was drugs of abuse (2-2.44), when compared to other types of poisonings from pesticides (2-2.33) and medications (1.5-1.91). The spatial distribution of poisoning cases rates and RR of nonwhite population support public policies to reduce socioeconomic and environmental inequalities.
Assuntos
Praguicidas , Intoxicação , Brasil/epidemiologia , Humanos , Praguicidas/intoxicação , Intoxicação/epidemiologia , Adulto , Adulto Jovem , Adolescente , Feminino , Masculino , Pessoa de Meia-Idade , Criança , Etnicidade/estatística & dados numéricos , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , Pré-Escolar , Grupos Raciais/estatística & dados numéricos , Disparidades nos Níveis de Saúde , Preparações FarmacêuticasAssuntos
Face , Humanos , Feminino , Masculino , Adulto , Fatores Sexuais , Pessoa de Meia-Idade , Fatores Etários , Adulto Jovem , Etnicidade/estatística & dados numéricos , Idoso , Adolescente , Temperatura CutâneaRESUMO
Problem/Condition: In 2021, approximately 75,000 persons died of violence-related injuries in the United States. This report summarizes data from CDC's National Violent Death Reporting System (NVDRS) on violent deaths that occurred in 48 states, the District of Columbia, and Puerto Rico in 2021. Results are reported by sex, age group, race and ethnicity, method of injury, type of location where the injury occurred, circumstances of injury, and other selected characteristics. This report introduces additional incident and circumstance variables, which now include child victim-specific circumstance information. This report also incorporates new U.S. Census Bureau race and ethnicity categories, which now account for more than one race and Native Hawaiian or other Pacific Islander categories and include updated denominators to calculate rates for these populations. Period Covered: 2021. Description of System: NVDRS collects data regarding violent deaths from death certificates, coroner and medical examiner records, and law enforcement reports. This report includes data collected for violent deaths that occurred in 2021. Data were collected from 48 states (all states with exception of Florida and Hawaii), the District of Columbia, and Puerto Rico. Forty-six states had statewide data, two additional states had data from counties representing a subset of their population (31 California counties, representing 64% of its population, and 13 Texas counties, representing 63% of its population), and the District of Columbia and Puerto Rico had jurisdiction-wide data. NVDRS collates information for each violent death and links deaths that are related (e.g., multiple homicides, homicide followed by suicide, or multiple suicides) into a single incident. Results: For 2021, NVDRS collected information on 68,866 fatal incidents involving 70,688 deaths that occurred in 48 states (46 states collecting statewide data, 31 California counties, and 13 Texas counties), and the District of Columbia. The deaths captured in NVDRS accounted for 86.5% of all homicides, legal intervention deaths, suicides, unintentional firearm injury deaths, and deaths of undetermined intent in the United States in 2021. In addition, information was collected for 816 fatal incidents involving 880 deaths in Puerto Rico. Data for Puerto Rico were analyzed separately. Of the 70,688 deaths, the majority (58.2%) were suicides, followed by homicides (31.5%), deaths of undetermined intent that might be due to violence (8.2%), legal intervention deaths (1.3%) (i.e., deaths caused by law enforcement and other persons with legal authority to use deadly force acting in the line of duty, excluding legal executions), and unintentional firearm injury deaths (<1.0%). The term "legal intervention" is a classification incorporated into the International Classification of Diseases, Tenth Revision, and does not denote the lawfulness or legality of the circumstances surrounding a death caused by law enforcement.Demographic patterns and circumstances varied by manner of death. The suicide rate was higher for males than for females. Across all age groups, the suicide rate was highest among adults aged ≥85 years. In addition, non-Hispanic American Indian or Alaska Native (AI/AN) persons had the highest suicide rates among all racial and ethnic groups. Among both males and females, the most common method of injury for suicide was a firearm. Among all suicide victims, when circumstances were known (84.4%), suicide was most often preceded by a mental health, intimate partner, or physical health problem or by a recent or impending crisis during the previous or upcoming 2 weeks. The homicide rate was higher for males than for females. Among all homicide victims, the homicide rate was highest among persons aged 20-24 years compared with other age groups. Non-Hispanic Black or African American (Black) males experienced the highest homicide rate of any racial or ethnic group. Among all homicide victims, the most common method of injury was a firearm. When the relationship between a homicide victim and a suspect was known, the suspect was most frequently an acquaintance or friend for male victims and a current or former intimate partner for female victims. Homicide most often was precipitated by an argument or conflict, occurred in conjunction with another crime, or, for female victims, was related to intimate partner violence. Nearly all victims of legal intervention deaths were male, and the legal intervention death rate was highest among men aged 30-34 years. The legal intervention death rate was highest among AI/AN males, followed by Black males. A firearm was used in the majority of legal intervention deaths. When circumstances were known, the most frequent circumstances reported for legal intervention deaths were as follows: the victim used a weapon in the incident and the victim had a substance use problem (other than alcohol use). Other causes of death included unintentional firearm injury deaths and deaths of undetermined intent. Unintentional firearm injury deaths were most frequently experienced by males, non-Hispanic White (White) persons, and persons aged 15-24 years. These deaths most frequently occurred while the shooter was playing with a firearm and were precipitated by a person unintentionally pulling the trigger. The rate of deaths of undetermined intent was highest among males, particularly among AI/AN and Black males, and among adults aged 30-54 years. Poisoning was the most common method of injury in deaths of undetermined intent, and opioids were detected in nearly 80% of decedents tested for those substances. Interpretation: This report provides a detailed summary of data from NVDRS on violent deaths that occurred in 2021. The suicide rate was highest among AI/AN and White males, whereas the homicide rate was highest among Black males. Intimate partner violence precipitated a large proportion of homicides for females. Mental health problems, intimate partner problems, interpersonal conflicts, and acute life stressors were primary precipitating circumstances for multiple types of deaths examined. Public Health Action: Violence is preventable, and data can guide public health action. NVDRS data are used to monitor the occurrence of violence-related fatal injuries and assist public health authorities in developing, implementing, and evaluating programs, policies, and practices to reduce and prevent violent deaths. NVDRS data can be used to enhance prevention efforts into actionable strategies. States or jurisdictions have used their Violent Death Reporting System (VDRS) data to guide suicide prevention efforts and highlight where additional focus is needed. For example, North Carolina VDRS program data have played a significant role in expanding activities related to firearm safety and injury prevention. The program served as a primary data source for partners, which led to the creation of the Office of Violence Prevention in the state, focusing on combatting firearm-related deaths. In Maine, the VDRS provided data on law enforcement officer suicides that were used to help support a bill mandating mental health resiliency and awareness training in the state's law enforcement training academy, along with plans for similar training addressing mental health, substance use, and alcohol problems among corrections officers. In addition, states and jurisdictions have also used their VDRS data to examine factors related to homicide in their state or jurisdiction. For example, Georgia VDRS collaborated with the City of Atlanta Mayor's Office of Violence Reduction to develop two public dashboards that not only offer comprehensive data on violent deaths but also present data on the geographic distribution of populations disproportionately affected by violence to help inform violence prevention interventions.
Assuntos
Causas de Morte , Homicídio , Vigilância da População , Suicídio , Violência , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Adulto Jovem , Distribuição por Idade , District of Columbia/epidemiologia , Etnicidade/estatística & dados numéricos , Homicídio/estatística & dados numéricos , Homicídio/etnologia , Porto Rico/epidemiologia , Porto Rico/etnologia , Distribuição por Sexo , Suicídio/estatística & dados numéricos , Suicídio/etnologia , Estados Unidos/epidemiologia , Violência/estatística & dados numéricos , Violência/etnologia , Ferimentos e Lesões/mortalidade , Ferimentos e Lesões/etnologia , Havaiano Nativo ou Outro Ilhéu do Pacífico , Negro ou Afro-Americano , Hispânico ou Latino , Indígena Americano ou Nativo do Alasca , BrancosRESUMO
Latin America is one of the most unequal regions in the world. Due to colonization and occupation of the territory, structural inequalities mark people's living and health conditions. In health, we can observe how different dimensions of inequalities condition access and user experience in the service. This scoping review aimed to map and analyze the expressions of inequalities in access to health services in Latin American countries from the scientific production of the last ten years, from which 272 articles were selected. The categorical analysis classified articles into five dimensions, which characterize the expressions of inequalities in access to health services: socioeconomic, geospatial, ethnic/racial, gender, and people with disabilities. The most frequent access barriers were socioeconomic or ability to pay, geographic or transportation difficulty, availability of services, cultural/ethnic, communication, and architecture. The main conditioning factors of health inequalities were income, schooling, transportation, and living conditions. Combating health inequalities requires proposing structuring and sectorial policies.
A América Latina é uma das regiões mais desiguais do mundo. Desigualdades estruturais, fruto dos processos de colonização e ocupação do território, marcam as condições de vida e saúde das pessoas. Na saúde, é possível observar como diferentes dimensões das desigualdades condicionam o acesso e a experiência do usuário no serviço. Objetivou-se mapear e analisar as expressões das desigualdades no acesso aos serviços de saúde nos países da América Latina a partir da produção científica dos últimos dez anos. O desenho de estudo foi a revisão de escopo, por meio da qual foram selecionados 272 artigos. A análise categorial permitiu a classificação dos artigos em cinco dimensões, que caracterizam as expressões das desigualdades no acesso aos serviços de saúde: socioeconômica, geoespacial, étnica/racial, gênero e de pessoas com deficiência. As barreiras de acesso mais frequentes foram: socioeconômica ou capacidade de pagamento; geográfica ou dificuldade de transporte; disponibilidade de serviços; cultural/étnica; comunicação; e arquitetônica. Os principais fatores condicionantes das desigualdades em saúde foram renda, escolaridade, transporte e condições de moradia. O enfrentamento das desigualdades em saúde requer a proposição de políticas estruturantes e setoriais.
Assuntos
Acessibilidade aos Serviços de Saúde , Disparidades em Assistência à Saúde , Fatores Socioeconômicos , América Latina , Humanos , Disparidades em Assistência à Saúde/estatística & dados numéricos , Pessoas com Deficiência/estatística & dados numéricos , Disparidades nos Níveis de Saúde , Etnicidade/estatística & dados numéricos , Fatores SexuaisRESUMO
OBJECTIVE: This study aimed to assess ethnic inequalities in the coverage and utilization of cancer screening services among women in Peru. METHODS: Data from the 2017-2023 Demographic and Family Health Survey in Peru were analyzed to evaluate ethnic disparities in screening coverage for breast and cervical cancer, including clinical breast examination (CBE), Pap smear test (PST), and mammography. Measures such as the GINI coefficient and Slope Index of Inequality (SII) were used to quantify coverage and utilization disparities among ethnic groups. RESULTS: The study included 70,454 women aged 30-69. Among women aged 40-69, 48.31% underwent CBE, 84.06% received PST, and 41.69% underwent mammography. It was found inequalities in coverage for any cancer screening (GINI: 0.10), mammography (GINI: 0.21), CBE (GINI: 0.19), and PST (GINI: 0.06), in 25 Peruvian regions. These inequalities were more pronounced in regions with larger populations of Quechua, Aymara, and Afro-Peruvian women. In rural areas, Quechua or Aymara women (SII: -0.83, -0.95, and - 0.69, respectively) and Afro-Peruvian women (SII: -0.80, -0.92, and - 0.58, respectively) experienced heightened inequalities in the uptake of CBE, mammography, and PST, respectively. Like Quechua or Aymara women (SII: -0.50, SII: -0.52, and SII: -0.50, respectively) and Afro-Peruvian women (SII: -0.50, SII: -0.58, and SII: -0.44, respectively) with only a primary education. CONCLUSION: Ethnic inequalities affect breast and cervical cancer screening coverage across regions in Peru. In Quechua, Aymara, and Afro-Peruvian women the uptake of mammography, CBE, and PST was less frequently than their white or mestizo counterparts. These inequalities are attributed to sociodemographic conditions such as lower education levels and residence in rural or non-capital areas.
Assuntos
Neoplasias da Mama , Detecção Precoce de Câncer , Disparidades em Assistência à Saúde , Mamografia , Teste de Papanicolaou , Neoplasias do Colo do Útero , Humanos , Feminino , Peru/etnologia , Pessoa de Meia-Idade , Adulto , Detecção Precoce de Câncer/estatística & dados numéricos , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/etnologia , Disparidades em Assistência à Saúde/estatística & dados numéricos , Disparidades em Assistência à Saúde/etnologia , Mamografia/estatística & dados numéricos , Idoso , Teste de Papanicolaou/estatística & dados numéricos , Neoplasias do Colo do Útero/diagnóstico , Neoplasias do Colo do Útero/etnologia , Etnicidade/estatística & dados numéricos , Fatores Socioeconômicos , Esfregaço Vaginal/estatística & dados numéricosRESUMO
The MHC class I region contains crucial genes for the innate and adaptive immune response, playing a key role in susceptibility to many autoimmune and infectious diseases. Genome-wide association studies have identified numerous disease-associated SNPs within this region. However, these associations do not fully capture the immune-biological relevance of specific HLA alleles. HLA imputation techniques may leverage available SNP arrays by predicting allele genotypes based on the linkage disequilibrium between SNPs and specific HLA alleles. Successful imputation requires diverse and large reference panels, especially for admixed populations. This study employed a bioinformatics approach to call SNPs and HLA alleles in multi-ethnic samples from the 1000 genomes (1KG) dataset and admixed individuals from Brazil (SABE), utilising 30X whole-genome sequencing data. Using HIBAG, we created three reference panels: 1KG (n = 2504), SABE (n = 1171), and the full model (n = 3675) encompassing all samples. In extensive cross-validation of these reference panels, the multi-ethnic 1KG reference exhibited overall superior performance than the reference with only Brazilian samples. However, the best results were achieved with the full model. Additionally, we expanded the scope of imputation by developing reference panels for non-classical, MICA, MICB and HLA-H genes, previously unavailable for multi-ethnic populations. Validation in an independent Brazilian dataset showcased the superiority of our reference panels over the Michigan Imputation Server, particularly in predicting HLA-B alleles among Brazilians. Our investigations underscored the need to enhance or adapt reference panels to encompass the target population's genetic diversity, emphasising the significance of multiethnic references for accurate imputation across different populations.
Assuntos
Alelos , Etnicidade , Frequência do Gene , Polimorfismo de Nucleotídeo Único , Humanos , Brasil , Etnicidade/genética , Antígenos HLA/genética , Desequilíbrio de Ligação , Estudo de Associação Genômica Ampla/métodos , Genótipo , Genética Populacional/métodos , Antígenos de Histocompatibilidade Classe I/genética , Biologia Computacional/métodosRESUMO
BACKGROUND: COVID-19 profoundly and uniquely impacted people with HIV. People with HIV experienced significant psychosocial and socioeconomic impacts, yet a limited amount of research has explored potential differences across gender and racial/ethnic groups of people with HIV. OBJECTIVE: The objective of this study was to examine psychosocial and socioeconomic stressors related to the COVID-19 pandemic among a diverse sample of people with HIV in South Florida and to determine if the types of stressors varied across gender and racial/ethnic groups. METHODS: We analyzed data from a cross-sectional survey with Miami-Dade County, Ryan White Program recipients. Outcomes included mental health, socioeconomic, drug/alcohol, and care responsibility/social support changes. Weighted descriptive analyses provided an overview of stressors by gender and racial/ethnic group and logistic regressions estimated associations between demographics and stressors. RESULTS: Among 291 participants, 39% were Non-Hispanic Black, 18% were Haitian, and 43% were Hispanic. Adjusting for age, sex, language, and foreign-born status, Hispanics were more likely to report several worsened mental health (i.e. increased loneliness, anxiety) and socioeconomic stressors (i.e. decreased income). Spanish speakers were more likely to report not getting the social support they needed. Women were more likely to report spending more time caring for children. CONCLUSIONS: Findings highlight ways in which cultural and gender expectations impacted experiences across people with HIV and suggest strategies to inform interventions and resources during lingering and future public health emergencies. Results suggest that public health emergencies have different impacts on different communities. Without acknowledging and responding to differences, we risk losing strides towards progress in health equity.
Assuntos
COVID-19 , Infecções por HIV , Pobreza , Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Negro ou Afro-Americano/estatística & dados numéricos , Negro ou Afro-Americano/psicologia , COVID-19/psicologia , COVID-19/epidemiologia , Estudos Transversais , Etnicidade/psicologia , Etnicidade/estatística & dados numéricos , Florida/epidemiologia , Haiti/etnologia , Hispânico ou Latino/estatística & dados numéricos , Hispânico ou Latino/psicologia , Infecções por HIV/psicologia , Infecções por HIV/etnologia , Infecções por HIV/epidemiologia , Saúde Mental/estatística & dados numéricos , Pandemias , Pobreza/psicologia , Pobreza/estatística & dados numéricos , Fatores Sexuais , Apoio Social , Fatores Socioeconômicos , Estresse Psicológico/psicologia , Estresse Psicológico/etnologiaRESUMO
INTRODUCTION: Methamphetamine detoxification before entering formal and longer term treatment may have a positive impact on treatment retention and success. Understanding geographic distribution of methamphetamine specialty detox services and differential access by race/ethnicity is critical for establishing policies that ensure equitable access across populations. METHODS: We used the Mental health and Addiction Treatment Tracking Repository to identify treatment facilities that offered any substance use detoxification in 2021 (N=2346) as well as the census block group in which they were located. We sourced data from the US Census Bureau to identify the percentage of a census block group that was White, Black, and Hispanic. We used logistic regression to model the availability of methamphetamine-specific detox, predicted by the percentage of a block group that was Black and Hispanic. We adjusted for relevant covariates and defined state as a random effect. We calculated model-based predicted probabilities. RESULTS: Over half (60%) of detox facilities offered additional detox services specifically for methamphetamine. Sixteen states had <10 methamphetamine-specific detox facilities. The predicted probability of methamphetamine-specific detox availability was 60% in census block groups with 0%-9% Black residents versus only 46% in census block groups with 90%-100% Black residents, and was 61% in census block groups with 0%-9% Hispanic residents versus 30% in census block groups with 90%-100% Hispanic residents. CONCLUSIONS: During an unprecedented national methamphetamine crisis, access to a critical health care service was disproportionately lower in communities that were predominately Black and Hispanic. We orient our findings around a discussion of health disparities, residential segregation, and the upstream causes of the systematic exclusion of minoritized communities from health care.