Discrimination based on sexual orientation against MSM in Brazil : a latent class analysis

Introdução: A discriminação por orientação sexual (DPOS) pode influenciar a vulnerabilidade ao HIV aumentando a exposição a comportamentos sexuais de risco entre homens que fazem sexo com homens (HSH). Objetivos: Examinar dados utilizando a análise de classes latentes (ACL) para identificar grupos de indivíduos com padrões específicos de DPOS. Métodos: Estudo transversal com entrevistados recrutados pelo processo amostral respondent driven sampling em 12 cidades brasileiras em 2016. A ACL foi usada para caracterizar o DPOS entre HSH com base em 13 variáveis do bloco de discriminação do questionário da pesquisa. As proporções de DPOS e das variáveis de interesse, bem como seus intervalos de confiança (95%) foram ponderados usando o estimador de Gile. Resultados: A maioria era de jovens, solteiros, com alguma religião, escolaridade média ou superior, cor da pele preta ou parda e com nível socioeconômico médio. Mais da metade referiu ter sido discriminado nos últimos 12 meses por sua orientação sexual (65%), mais de um terço referiu ter tido medo de andar em lugares públicos nos últimos 12 meses e em torno de um quinto dos participantes reportaram ter sofrido agressão física ou sexual na vida. A DPOS foi classificada em 4 classes latentes, “muito alta”, “alta”, “média” e “baixa”, com estimativas de 2,2%, 16,4%, 35,1% e 46,19%, respectivamente. Conclusão: Observou-se alta proporção de discriminação entre os HSH participantes deste estudo. A utilização da ACL discriminou de maneira parcimoniosa as classes de DPOS.Introduction: Discrimination based on sexual orientation can influence vulnerability to HIV, increasing exposure to risky sexual behavior among men who have sex with men (MSM). Objectives: To analyze data using latent class analysis (LCA) to identify groups of individuals with specific patterns of discrimination based on sexual orientation (DSO). Methods: Cross-sectional study using respondent-driven sampling in 12 Brazilian cities in 2016. LCA was used to characterize discrimination among MSM based on 13 variables in the survey questionnaire. The proportions of men reporting DSO and other variables of interest were estimated using Gile’s Successive Sampling estimator. Results: Most MSM were young, single, had a religion, had a high school or college degree, black or brown skin color, and socioeconomic status classified as average. More than half of the participants reported that they had been discriminated against during the last 12 months due to their sexual orientation (65%), more than a third said they had felt afraid of walking in public places during the past 12 months, and about one-fifth of participants reported having been victims of physical or sexual assault due to DSO. DSO was classified into four latent classes: “very high”, “high”, “moderate” and “low”, with estimates of 2.2%, 16.4%, 35.1%, and 46.19%, respectively. Conclusion: We observed a high proportion of discrimination against MSM in this study. The use of LCA differentiated parsimoniously classes of discrimination

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Extramedullary Plasmacytoma of the Third Eyelid in a Cat

Background: Extramedullary plasmacytoma is a neoplasm originating from plasmacytes with benign behavior, although it can present malignant characteristics such as local invasion and metastases in some cases. Primary extramedullary plasmacytoma in the third eyelid is rare in humans and animals and has not yet been described in cats. Thus, the goal of the present study is to describe the cytological and histopathological findings of an extramedullary plasmacytoma in a cat's third eyelid.Case: A 5-year-old female feline patient with a history of ocular alteration for approximately 30 days was referred to the ophthalmology service. Upon ophthalmic examination of the left eye, an increase in volume with tissue proliferation was identified in the third eyelid's conjunctiva. A collection of material for cytopathological examination was performed. Numerous plasmocytes and atypical lymphocytes with anisocytosis and anisokaryosis were observed, with a possible neoplastic injury being suggested and referred to the patient for surgical removal of the third eyelid. In the histopathological analysis, it was possible to observe several plasma cells and vascular neoformation along the entire conjunctive margin below the epithelium. The glands, serous and mucous, present in the fragment, revealed areas of intervening plasmacytic infiltrate and a large area close to the hyaline cartilage containing intense plasmacytic inflammatory infiltrate with rare neutrophils and macrophages. There was also a structural breakdown of glandular components and lymphocyte cells with mitosis figures and discrete cellular pleomorphism.Discussion: Plasmacytoma is a rare neoplasm in both dogs and cats. The anatomical regions most frequently affected are the digits, lips, and pinna. Concerning the 3rd eyelid tumor involvement, numerous types of neoplasms have been reported in dogs in the veterinary literature, including transmissible venereal tumor, squamous cell carcinoma, and melanocytoma melanoma, lymphoma, plasmacytoma, hemangioma, hemangiosarcoma, mastocytoma, and myoepithelioma. In cats, the third eyelid is the third site most affected by primary tumors. Adult and elderly animals are the most affected; however, an extramedullary plasmacytoma (PEM) has been reported in an eight-month-old male cat's skeletal muscle. Plasmacytoma aspirates, like other round cells, tend to be highly cellular, the cell morphology has a plasmacytoid aspect, resembling mature cells, the cytoplasm is intensely basophilic, and the round nucleus with an eccentric disposition has thin chromatin and indistinct nucleolus. Binucleate and multinucleate cells are common, and the absence of lymphoglandular corpuscles helps differentiate extramedullary plasmacytoma from lymphomas. Histologically, PEM is similar in dogs, humans, and felines, and variations in mature and immature plasma cells can be seen. The diagnosis of extramedullary plasmacytoma is fundamentally histological, and immunohistochemical analysis can also be performed. Surgical excision with safety margins is the primary type of treatment for neoplasms in the 3rd eyelid, being considered an effective method, as seen in this report, during the patient's follow-up for 13 months, no recurrence or metastasis of the neoplasm was seen. When signs of malignant neoplasms are found, it is recommended to evaluate the indication for chemotherapy before surgery and monitor the case after treatment due to recurrence risk

Extramedullary Plasmacytoma of the Third Eyelid in a Cat

Background: Extramedullary plasmacytoma is a neoplasm originating from plasmacytes with benign behavior, although it can present malignant characteristics such as local invasion and metastases in some cases. Primary extramedullary plasmacytoma in the third eyelid is rare in humans and animals and has not yet been described in cats. Thus, the goal of the present study is to describe the cytological and histopathological findings of an extramedullary plasmacytoma in a cat's third eyelid.Case: A 5-year-old female feline patient with a history of ocular alteration for approximately 30 days was referred to the ophthalmology service. Upon ophthalmic examination of the left eye, an increase in volume with tissue proliferation was identified in the third eyelid's conjunctiva. A collection of material for cytopathological examination was performed. Numerous plasmocytes and atypical lymphocytes with anisocytosis and anisokaryosis were observed, with a possible neoplastic injury being suggested and referred to the patient for surgical removal of the third eyelid. In the histopathological analysis, it was possible to observe several plasma cells and vascular neoformation along the entire conjunctive margin below the epithelium. The glands, serous and mucous, present in the fragment, revealed areas of intervening plasmacytic infiltrate and a large area close to the hyaline cartilage containing intense plasmacytic inflammatory infiltrate with rare neutrophils and macrophages. There was also a structural breakdown of glandular components and lymphocyte cells with mitosis figures and discrete cellular pleomorphism.Discussion: Plasmacytoma is a rare neoplasm in both dogs and cats. The anatomical regions most frequently affected are the digits, lips, and pinna. Concerning the 3rd eyelid tumor involvement, numerous types of neoplasms have been reported in dogs in the veterinary literature, including transmissible venereal tumor, squamous cell carcinoma, and melanocytoma melanoma, lymphoma, plasmacytoma, hemangioma, hemangiosarcoma, mastocytoma, and myoepithelioma. In cats, the third eyelid is the third site most affected by primary tumors. Adult and elderly animals are the most affected; however, an extramedullary plasmacytoma (PEM) has been reported in an eight-month-old male cat's skeletal muscle. Plasmacytoma aspirates, like other round cells, tend to be highly cellular, the cell morphology has a plasmacytoid aspect, resembling mature cells, the cytoplasm is intensely basophilic, and the round nucleus with an eccentric disposition has thin chromatin and indistinct nucleolus. Binucleate and multinucleate cells are common, and the absence of lymphoglandular corpuscles helps differentiate extramedullary plasmacytoma from lymphomas. Histologically, PEM is similar in dogs, humans, and felines, and variations in mature and immature plasma cells can be seen. The diagnosis of extramedullary plasmacytoma is fundamentally histological, and immunohistochemical analysis can also be performed. Surgical excision with safety margins is the primary type of treatment for neoplasms in the 3rd eyelid, being considered an effective method, as seen in this report, during the patient's follow-up for 13 months, no recurrence or metastasis of the neoplasm was seen. When signs of malignant neoplasms are found, it is recommended to evaluate the indication for chemotherapy before surgery and monitor the case after treatment due to recurrence risk

Discrimination based on sexual orientation against MSM in Brazil : a latent class analysis

Introdução: A discriminação por orientação sexual (DPOS) pode influenciar a vulnerabilidade ao HIV aumentando a exposição a comportamentos sexuais de risco entre homens que fazem sexo com homens (HSH). Objetivos: Examinar dados utilizando a análise de classes latentes (ACL) para identificar grupos de indivíduos com padrões específicos de DPOS. Métodos: Estudo transversal com entrevistados recrutados pelo processo amostral respondent driven sampling em 12 cidades brasileiras em 2016. A ACL foi usada para caracterizar o DPOS entre HSH com base em 13 variáveis do bloco de discriminação do questionário da pesquisa. As proporções de DPOS e das variáveis de interesse, bem como seus intervalos de confiança (95%) foram ponderados usando o estimador de Gile. Resultados: A maioria era de jovens, solteiros, com alguma religião, escolaridade média ou superior, cor da pele preta ou parda e com nível socioeconômico médio. Mais da metade referiu ter sido discriminado nos últimos 12 meses por sua orientação sexual (65%), mais de um terço referiu ter tido medo de andar em lugares públicos nos últimos 12 meses e em torno de um quinto dos participantes reportaram ter sofrido agressão física ou sexual na vida. A DPOS foi classificada em 4 classes latentes, “muito alta”, “alta”, “média” e “baixa”, com estimativas de 2,2%, 16,4%, 35,1% e 46,19%, respectivamente. Conclusão: Observou-se alta proporção de discriminação entre os HSH participantes deste estudo. A utilização da ACL discriminou de maneira parcimoniosa as classes de DPOS.Introduction: Discrimination based on sexual orientation can influence vulnerability to HIV, increasing exposure to risky sexual behavior among men who have sex with men (MSM). Objectives: To analyze data using latent class analysis (LCA) to identify groups of individuals with specific patterns of discrimination based on sexual orientation (DSO). Methods: Cross-sectional study using respondent-driven sampling in 12 Brazilian cities in 2016. LCA was used to characterize discrimination among MSM based on 13 variables in the survey questionnaire. The proportions of men reporting DSO and other variables of interest were estimated using Gile’s Successive Sampling estimator. Results: Most MSM were young, single, had a religion, had a high school or college degree, black or brown skin color, and socioeconomic status classified as average. More than half of the participants reported that they had been discriminated against during the last 12 months due to their sexual orientation (65%), more than a third said they had felt afraid of walking in public places during the past 12 months, and about one-fifth of participants reported having been victims of physical or sexual assault due to DSO. DSO was classified into four latent classes: “very high”, “high”, “moderate” and “low”, with estimates of 2.2%, 16.4%, 35.1%, and 46.19%, respectively. Conclusion: We observed a high proportion of discrimination against MSM in this study. The use of LCA differentiated parsimoniously classes of discrimination

Discrimination based on sexual orientation against MSM in Brazil: a latent class analysis

Submitted by Paulo Silva ([email protected]) on 2019-10-22T13:10:43Z No. of bitstreams: 1 Discrimination based on sexual orientation against MSM in Brazil.pdf: 285899 bytes, checksum: d187f92c9151476fe584809c53bf2328 (MD5)Approved for entry into archive by Paulo Silva ([email protected]) on 2019-10-22T14:26:05Z (GMT) No. of bitstreams: 1 Discrimination based on sexual orientation against MSM in Brazil.pdf: 285899 bytes, checksum: d187f92c9151476fe584809c53bf2328 (MD5)Made available in DSpace on 2019-10-22T14:26:05Z (GMT). No. of bitstreams: 1 Discrimination based on sexual orientation against MSM in Brazil.pdf: 285899 bytes, checksum: d187f92c9151476fe584809c53bf2328 (MD5) Previous issue date: 2019Universidade Estadual da Bahia. Departamento de Ciências da Vida. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Humanidades, Artes e Ciências Professor Milton Santos. Salvador, BA, Brasil.Universidade Federal de Minas Gerais. Faculdade de Medicina. Departamento de Medicina Preventiva e Social. Belo Horizonte, MG, Brasil.Faculdade de Ciências Médicas. Santa Casa de São Paulo. São Paulo, SP, Brasil.Universidade Federal do Rio Grande do Sul. Programa de Pós-Graduação em Psicologia Social e Institucional. Porto Alegre, RS, Brasil.Universidade Federal do Rio Grande do Sul. Instituto de Filosofia e Ciências Humanas. Departamento de Sociologia. Porto Alegre, RS, Brasil.Universidade Federal do Rio Grande do Sul. Faculdade de Medicina. Departamento de Medicina Social. Porto Alegre, RS, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.Universidade Federal de São João Del-Rei. Divinópolis, MG, Brasil.Instituto Evandro Chagas. Departamento de Bacteriologia e Micologia. Ananindeua, PA, Brasil.Center for Global Health Equity. Tulane School of Public Health and Tropical Medicine. New Orleans, LA, United States.Universidade Federal de Mato Grosso do Sul. Faculdade de Ciências Farmacêuticas, Alimentação e Nutrição. Laboratório de Imunologia Clínica. Campo Grande, MS, Brasil.Instituto Evandro Chagas. Departamento de Bacteriologia e Micologia. Ananindeua, PA, Brasil.Universidade Federal do Ceará. Departamento de Saúde Comunitária. Fortaleza, CE, Brasil.Universidade de Brasília. Departamento de Saúde Coletiva. Brasília, DF, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Introduction: Discrimination based on sexual orientation can influence vulnerability to HIV, increasing exposure to risky sexual behavior among men who have sex with men (MSM). Objectives: To analyze data using latent class analysis (LCA) to identify groups of individuals with specific patterns of discrimination based on sexual orientation (DSO). Methods: Cross-sectional study using respondent-driven sampling in 12 Brazilian cities in 2016. LCA was used to characterize discrimination among MSM based on 13 variables in the survey questionnaire. The proportions of men reporting DSO and other variables of interest were estimated using Gile’s Successive Sampling estimator. Results: Most MSM were young, single, had a religion, had a high school or college degree, black or brown skin color, and socioeconomic status classified as average. More than half of the participants reported that they had been discriminated against during the last 12 months due to their sexual orientation (65%), more than a third said they had felt afraid of walking in public places during the past 12 months, and about one-fifth of participants reported having been victims of physical or sexual assault due to DSO. DSO was classified into four latent classes: “very high”, “high”, “moderate” and “low”, with estimates of 2.2%, 16.4%, 35.1%, and 46.19%, respectively. Conclusion: We observed a high proportion of discrimination against MSM in this study. The use of LCA differentiated parsimoniously classes of discrimination