A Contribuição dos Valores Humanos na Explicação de Sintomas Depressivos na Adolescência

The general objective was to verify the predictive power of human values, controlling the effect of gender and category of the school institution, in the symptoms of depression of adolescents. Specifically, to identify if there are differences in the levels of depression regarding gender and school category of adolescents. Therefore, a survey was carried out with 437 adolescent students from the city of Parnaíba-PI, most of whom were female (51.3%) and public school (52.3%). With an average age of 14.53 years (SD = 2.10, from 12 to 17 years). These participants answered the Basic Values Questionnaire (BVQ-18), Child Depression Inventory (CDI) and demographic data. Pearson’s correlations were performed with SPSS version 21, followed by hierarchical multiplier regression identifying that in the final model, the subfunction that predicts the symptoms of depression is existence, in an inverse way, suggesting that the more scores in the values of this subfunction, the less experience of depression, gender also entered the model, indicating that girls experience more symptoms of depression, no differences were found regarding the type of school. Such results are discussed in the light of the literature, showing the importance of broaching human values as a protective factor in the school context.El objetivo general fue verificar el poder predictivo de los valores humanos, controlando el efecto del sexo y la categoría de la institución escolar, en los síntomas de depresión de los adolescentes. Específicamente, verificar las diferencias en los niveles de depresión con respecto al sexo y la categoría escolar de los adolescentes. Con este fin, se realizó una búsqueda con 437 estudiantes adolescentes de la ciudad de Parnaíba-PI, la mayoría eran mujeres (51.3%) y escuelas públicas (52.3%). Con una edad promedio de 14.53 años (DE = 2.10, entre 12 y 17 años). Estos participantes respondieron el Cuestionario de Valores Básicos (CVB-18), el Inventario de Depresión Infantil (CDI) y los datos demográficos. Las correlaciones de Pearson se realizaron con SPSS versión 21, seguido de una regresión jerárquica múltiple, identificando que en el modelo final, la subfunción que predice los síntomas de depresión es la existencia, de manera inversa, lo que sugiere es que la mayor puntuación en los valores de esta subfunción, menos experiencia de depresión, el sexo también entró en el modelo, lo que indica que las chicas experimentan más síntomas de depresión, no se encontraron diferencias con respecto al tipo de escuela. Estos resultados se discuten a la luz de la literatura, mostrando la importancia de abordar los valores humanos como un factor protector en el contexto escolar.Objetivou-se de maneira geral verificar o poder preditivo dos valores humanos, controlando o efeito de sexo e categoria da instituição escolar, nos sintomas de depressão dos adolescentes. Especificamente, verificar se há diferenças nos níveis de depressão quanto ao sexo e categoria da escola dos adolescentes. Para tanto, realizou-se uma pesquisa com 437 adolescentes estudantes do município de Parnaíba-PI, a maior parte foi composta pelo sexo feminino (51,3%) e escola pública (52,3%). Com a idade média de 14,53 anos (DP = 2,10, variando entre 12 e17 anos). Estes participantes responderam o Questionário de Valores Básicos (QVB-18), Inventário de Depressão Infantil (CDI) e dados demográficos. Com o SPSS versão 21 foram realizadas correlações de Pearson, seguidas de regressão múltipla hierárquica identificando que no modelo final, a subfunção que prediz a sintomatologia de depressão é existência, de maneira inversa, sugerindo que quanto mais pontuações nos valores dessa subfunção menos vivência de depressão, sexo também entrou no modelo, indicando que as meninas experienciam mais sintomatologia de depressão, não foram encontradas diferenças quanto ao tipo de escola. Tais resultados são discutidos à luz da literatura, evidenciando a importância dos valores como fator protetivo no contexto escolar

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Background Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (USMR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings Global U5MR decreased from 71.2 deaths per 1000 livebirths (95% uncertainty interval WI] 68.3-74-0) in 2000 to 37.1 (33.2-41.7) in 2019 while global NMR correspondingly declined more slowly from 28.0 deaths per 1000 live births (26.8-29-5) in 2000 to 17.9 (16.3-19-8) in 2019. In 2019,136 (67%) of 204 countries had a USMR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030,154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9.65 million (95% UI 9.05-10.30) in 2000 and 5.05 million (4.27-6.02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3.76 million 95% UI 3.53-4.021) in 2000 to 48% (2.42 million; 2.06-2.86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0.80 (95% UI 0.71-0.86) deaths per 1000 livebirths and U5MR to 1.44 (95% UI 1-27-1.58) deaths per 1000 livebirths, and in 2019, there were as many as 1.87 million (95% UI 1-35-2.58; 37% 95% UI 32-43]) of 5.05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve USMR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

A Contribuição dos Valores Humanos na Explicação de Sintomas Depressivos na Adolescência

The general objective was to verify the predictive power of human values, controlling the effect of gender and category of the school institution, in the symptoms of depression of adolescents. Specifically, to identify if there are differences in the levels of depression regarding gender and school category of adolescents. Therefore, a survey was carried out with 437 adolescent students from the city of Parnaíba-PI, most of whom were female (51.3%) and public school (52.3%). With an average age of 14.53 years (SD = 2.10, from 12 to 17 years). These participants answered the Basic Values Questionnaire (BVQ-18), Child Depression Inventory (CDI) and demographic data. Pearson’s correlations were performed with SPSS version 21, followed by hierarchical multiplier regression identifying that in the final model, the subfunction that predicts the symptoms of depression is existence, in an inverse way, suggesting that the more scores in the values of this subfunction, the less experience of depression, gender also entered the model, indicating that girls experience more symptoms of depression, no differences were found regarding the type of school. Such results are discussed in the light of the literature, showing the importance of broaching human values as a protective factor in the school context.Objetivou-se de maneira geral verificar o poder preditivo dos valores humanos, controlando o efeito de sexo e categoria da instituição escolar, nos sintomas de depressão dos adolescentes. Especificamente, verificar se há diferenças nos níveis de depressão quanto ao sexo e categoria da escola dos adolescentes. Para tanto, realizou-se uma pesquisa com 437 adolescentes estudantes do município de Parnaíba-PI, a maior parte foi composta pelo sexo feminino (51,3%) e escola pública (52,3%). Com a idade média de 14,53 anos (DP = 2,10, variando entre 12 e17 anos). Estes participantes responderam o Questionário de Valores Básicos (QVB-18), Inventário de Depressão Infantil (CDI) e dados demográficos. Com o SPSS versão 21 foram realizadas correlações de Pearson, seguidas de regressão múltipla hierárquica identificando que no modelo final, a subfunção que prediz a sintomatologia de depressão é existência, de maneira inversa, sugerindo que quanto mais pontuações nos valores dessa subfunção menos vivência de depressão, sexo também entrou no modelo, indicando que as meninas experienciam mais sintomatologia de depressão, não foram encontradas diferenças quanto ao tipo de escola. Tais resultados são discutidos à luz da literatura, evidenciando a importância dos valores como fator protetivo no contexto escolar.El objetivo general fue verificar el poder predictivo de los valores humanos, controlando el efecto del sexo y la categoría de la institución escolar, en los síntomas de depresión de los adolescentes. Específicamente, verificar las diferencias en los niveles de depresión con respecto al sexo y la categoría escolar de los adolescentes. Con este fin, se realizó una búsqueda con 437 estudiantes adolescentes de la ciudad de Parnaíba-PI, la mayoría eran mujeres (51.3%) y escuelas públicas (52.3%). Con una edad promedio de 14.53 años (DE = 2.10, entre 12 y 17 años). Estos participantes respondieron el Cuestionario de Valores Básicos (CVB-18), el Inventario de Depresión Infantil (CDI) y los datos demográficos. Las correlaciones de Pearson se realizaron con SPSS versión 21, seguido de una regresión jerárquica múltiple, identificando que en el modelo final, la subfunción que predice los síntomas de depresión es la existencia, de manera inversa, lo que sugiere es que la mayor puntuación en los valores de esta subfunción, menos experiencia de depresión, el sexo también entró en el modelo, lo que indica que las chicas experimentan más síntomas de depresión, no se encontraron diferencias con respecto al tipo de escuela. Estos resultados se discuten a la luz de la literatura, mostrando la importancia de abordar los valores humanos como un factor protector en el contexto escolar

Relações entre profissionais de saúde e usuários durante as práticas em saúde Relationships between health professionals and users throughout health care practices

Apresenta-se uma revisão integrativa sobre estudos que abordam as relações entre profissionais de saúde e usuários durante as práticas em saúde. Objetivou-se identificar os aspectos pesquisados no cotidiano dos serviços acerca dessas relações. A coleta foi realizada nas bases Lilacs e Pubmed segundo os descritores: acolhimento; relações profissional-família; relações profissional-paciente; humanização da assistência; e a palavra 'vínculo' associada ao descritor Sistema Único de Saúde. Selecionaram-se 290 estudos publicados entre 1990 e 2010. Por meio da análise temática, foram criados cinco núcleos de sentido: a relevância da confiança na relação profissional-usuário; sentimentos e sentidos na prática do cuidado; a importância da comunicação nos serviços de saúde; modo de organização das práticas em saúde; e (des)colonialismo. Identificou-se que as relações estabelecidas nas práticas de saúde têm uma dimensão transformadora. No entanto, permanece o desafio de humanizar os serviços de saúde. A enfermagem se destaca na produção do conhecimento nessa temática.<br>This article presents an integrative review about studies that address the relationships between health professionals and users in health care practices. It aimed to identify aspects that were researched on the daily life of the services concerning such relationships. Data were collected from the Lilacs and Pubmed databases based on these descriptors: user embracement; professionalfamily relations; professionalpatient relations; humanization of the care; and the bonding word associated to the Single Health System descriptor. Two hundred and ninety studies, published from 1990 to 2010, were selected. Through thematic analyses, five meaning cores were created: the relevance of the confidence in the professionaluser relationship; feelings and senses in the health care practice; the importance of communications in health care services; ways to organize health care practices and (de)colonialism. It was found that relationships established in health care practices have a transformative dimension. However, the challenge to humanize health care services remains. Nursing stands out in the production of knowledge on such theme

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health : all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Background Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (USMR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings Global U5MR decreased from 71.2 deaths per 1000 livebirths (95% uncertainty interval WI] 68.3-74-0) in 2000 to 37.1 (33.2-41.7) in 2019 while global NMR correspondingly declined more slowly from 28.0 deaths per 1000 live births (26.8-29-5) in 2000 to 17.9 (16.3-19-8) in 2019. In 2019,136 (67%) of 204 countries had a USMR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030,154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9.65 million (95% UI 9.05-10.30) in 2000 and 5.05 million (4.27-6.02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3.76 million [95% UI 3.53-4.021) in 2000 to 48% (2.42 million; 2.06-2.86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0.80 (95% UI 0.71-0.86) deaths per 1000 livebirths and U5MR to 1.44 (95% UI 1-27-1.58) deaths per 1000 livebirths, and in 2019, there were as many as 1.87 million (95% UI 1-35-2.58; 37% [95% UI 32-43]) of 5.05 million more deaths of children younger than 5 years than the survival potential frontier. Interpretation Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve USMR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data