Violência sexual contra homens no Brasil: subnotificação, prevalência e fatores associados

OBJECTIVES: Identifying and mapping the literature regarding sexual violence against Brazilian boys and men, as well as describing its underreporting, prevalence, and associated factors. METHODS: We conducted a scoping review by searching PubMed, Biblioteca Digital Brasileira de Teses e Dissertações, Biblioteca Virtual em Saúde, Scopus, and Web of Science databases. The inclusion criteria were: (a) surveys including data on sexual violence; (b) inclusion of boys or men as victims of sexual violence; (c) presenting statistical data on prevalence, underreporting, and factors associated with sexual violence among Brazilian boys and men. RESULTS: We found a total of 1,481 papers. Ultimately, 53 were included and had their data extracted. Most studies are quantitative in nature (n = 48). The total number of participants across studies was 1,416,480 and the prevalence of sexual violence ranged from 0.1% to 71%. It is important to note that underreporting statistical data was cited in several studies. The group with the highest prevalences was men who have sex with men and those with sexual dysfunctions. Increased tendency to drug use, social isolation, unprotected anal sex, suicidal ideation, sexual dysfunction, and post-traumatic stress disorder were statistically significant predictors for having experienced sexual violence. CONCLUSIONS: Despite the prevalence of sexual violence being high against Brazilian boys and men, this area of is surprisingly understudied and there are few studies with this exclusive scope. Social cultural issues, such as sexism, contribute to the underreporting of sexual violence. Additionally, we identified issues related to mental, sexual and reproductive health to be associated with sexual violence. Based on our findings, we recommend the implementation and development of a structural infrastructure aimed at supporting boys and men who are victims of sexual violence, and preventing negative outcomes for this affected group.OBJETIVOS: Identificar e mapear a literatura referente à violência sexual contra meninos e homens brasileiros, bem como descrever sua subnotificação, sua prevalência e os fatores associados. MÉTODOS: Realizou-se uma de revisão de escopo com buscas nas bases de dados: PubMed, Biblioteca Digital Brasileira de Teses e Dissertações, Biblioteca Virtual em Saúde, Scopus e Web of Science. Os critérios de inclusão foram: (a) pesquisas que incluíssem dados sobre violência sexual; (b) inclusão de meninos ou homens como vítimas de violência sexual; (c) apresentassem dados sobre prevalência, subnotificação e fatores associados à violência sexual entre meninos e homens brasileiros. RESULTADOS: Foram encontrados 1.481 trabalhos. No total, 53 foram incluídos e tiveram seus dados extraídos. A maioria dos estudos é de natureza quantitativa (n = 48). O total de participantes em todos os estudos foi de 1.416.480 e a prevalência de violência sexual variou de 0.1% a 71%. A subnotificação foi um aspecto citado em vários estudos. Entre os grupos com maiores prevalências estão os homens que fazem sexo com homens e com disfunções sexuais. Maior tendência ao uso de drogas, isolamento social, sexo anal desprotegido, ideação suicida, disfunções sexuais e transtorno de estresse pós-traumático foram alguns dos fatores associados. CONCLUSÕES: A violência sexual contra meninos e homens brasileiros é pouco estudada e existem poucos estudos com esse recorte exclusivo, apesar da prevalência de a violência sexual ser alta. Questões culturais, como o machismo, contribuem para a subnotificação da violência sexual. Em relação aos fatores associados, identificamos questões relacionadas à saúde mental, sexual e reprodutiva. Recomenda-se que seja estruturado acolhimento para meninos e homens vítimas de violência sexual, prevenindo ou minimizando desfechos negativos

Prevalência de Violência Sexual com contato e sem contato contra homens brasileiros e fatores associados a sexo forçado

RESUMO Objetivou-se estimar a prevalência da Violência Sexual (VS) contra homens brasileiros e fatores associados. Estudo transversal, que estimou a prevalência de várias formas de VS entre homens brasileiros por meio de questionário virtual. Participaram do estudo 1.241 homens de todos os estados. A maioria era jovem, entre 18 e 39 anos de idade (61,7%), heterossexual (50,2%), do Sudeste (54,4%), das classes socioeconômicas C/D/E (72,1%) e brancos (64,3%). Sobre as prevalências de VS, 70,5% afirmaram ter sofrido VS sem contato, 43,1%, VS com contato, 23,9%, VS com penetração, e 33,1%, sexo forçado. Ser bissexual, ser homossexual e ser divorciado/separado aumentaram as chances de sofrer sexo forçado. Este estudo indica que homens bissexuais e homossexuais têm mais chances de sofrer VS, corroborando outras pesquisas. Entre divorciados/separados, as chances de sofrer VS também se mostraram significativas e precisam ser mais bem exploradas. O estudo oferece a possibilidade de problematização para acolhimento de homens vítimas de VS, pensando majoritariamente na prevenção de efeitos adversos após a violência e na implantação de políticas públicas da área da saúde mais direcionadas para o público-alvo, considerando os principais fatores associados

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info: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 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

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications

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