AVALIAÇÃO DA CONTRIBUIÇÃO DA ATENÇÃO FARMACÊUTICA NO TRATAMENTO DOS USUÁRIOS HIPERTENSOS DO MUNICÍPIO DE ILICÍNEA – MG

Estima-se que as doenças cardiovasculares sejam umas das principais causas de mortalidade entre os brasileiros. O diagnóstico desta doença é feito através da aferição da pressão arterial. Para a detecção precoce, é necessário que o hipertenso tenha hábito de praticar um autocuidado,e que seja de rotina a visita ao médico. Com vários estudos a hipertensão arterial está ligada a genética, estilo de vida e qualidade de vida. O tratamento farmacológico da hipertensão arterial sistêmica tem como principal objetivo a redução de risco da morbidade e mortalidade do hipertenso. Uma das dificuldades encontradas por hipertensos é a falta de não adesão ao tratamento e de conhecimentos básicos como administração correta, condições de armazenamento, assim como reações adversas que esses medicamentos podem causar.  Como é grande a incidência da doença; objetivou-se a realização de uma pesquisa a fim de se obter informações de como estão sendo utilizados os medicamentos, existindo ou não a atenção farmacêutica oferecida aos pacientes do PSF Central de Ilicínea-MG. Serão avaliados 100 pacientes hipertensos.  A coleta de dados será realizada mediante um questionário com perguntas voltadas para a doença, medicamentos utilizados, e manuseamento da medicamentaçã

ANÁLISE DA PERCEPÇÃO DOS PRATICANTES DE ATIVIDADE FÍSICA SOBRE OS EFEITOS COLATERAIS ORIGINADOS PELO USO DE ESTERÓIDES ANABOLIZANTES NAS ACADEMIAS DO MUNICÍPIO DE ILICÍNEA- MG

A imagem corporal evidenciada pela mídia, a busca de corpos musculosos e o culto ao corpo desencadeou uma busca desenfreada por artifícios que permitam alcançar um ideal de beleza fora da realidade para a maior parte da população. Para obter esse ideal de corpo pessoas tomam medidas drásticas para satisfazerem suas necessidades. O uso de Esteroides Anabolizantes Androgênicos ou em seu termo mais popular: a “bomba” é uma solução rápida para tais anseios, mesmo os usuários reconhecendo o impacto negativo na saúde não se abstêm do consumo, tornando-o os Esteroides Anabolizantes Androgênicos cada vez mais conhecidos. Os anabolizantes são responsáveis por características anabólicas e androgênicas. As propriedades anabólicas geram aumento de massa muscular e forca, já as propriedades androgênicas estão relacionadas ao desenvolvimento das características sexuais masculinas. Os resultados deste neste trabalho demonstram que a prevalência de uso de esteróides anabólicos androgênicos no município de Ilicínea- MG encontra-se entre os índices descritos em outras literaturas. A pesquisa possibilitou traçar o perfil dos praticantes de atividade física entrevistados, que têm idade variando entre 15 e 57 anos. Mais de 60% dos entrevistados afirmaram saber o que são Esteroides Anabolizantes Androgênicos, 3% declaram fazer ou ter feito uso de Esteroides Anabolizantes Androgênicos, 63% declararam não acreditar que os usos de outras substâncias possam prevenir os efeitos adversos originados pelo uso Esteroides Anabolizantes Androgênicos de, 93% dos entrevistados acreditam que as doenças futuras provenientes do uso de Esteroides Anabolizantes Androgênicos podem ser prevenidas com o acompanhamento médico. Assim, deve-se buscar a conscientização deste público acerca dos prejuízos relacionados à utilização de Esteroides Anabolizantes Androgênicos, prevenindo a utilização destes e evitando danos à saúde

ENDOMETRIOSE E SEU IMPACTO NA INFERTILIDADE FEMININA

This article aims to highlight the relationship between endometriosis and infertility, indicate the factors related to the epidemic, symptoms and diagnosis, focusing on the possible causes of childhood infertility in women affected by this pathology. Data collection was carried out through the Nursing Database (BDENF), the Online Scientific Electronic Library (SCIELO), PubMed and the Latin American and Caribbean Literature in Health Sciences (LILACS). Endometriosis is a chronic inflammatory disease that compromises a woman's health and fertility, increases the risk of depression, limits her daily activities and, ultimately, reduces her quality of life, may be associated with immunological and endocrine disorders, as well as physical activity and tissue abnormalities. There are currently three types of treatment for infertility related to endometriosis: clinical treatment, surgery and methods required for assisted reproduction. Finally, it is well known that endometriosis causes infertility, but the relevant mechanisms require further investigation. The treatment that leads to this is not yet fully understood and there is no standard treatment for pathological patients.Este artigo tem como objetivo destacar a relação entre endometriose e infertilidade, indicar os fatores relacionados à epidemia, os sintomas e o diagnóstico, focando nas possíveis causas da infertilidade infantil em mulheres acometidas por esta patologia. A coleta de dados foi realizada por meio da Base de Dados de Enfermagem (BDENF), da Biblioteca Eletrônica Científica Online (SCIELO), da PubMed e da Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS). A endometriose é uma doença inflamatória crónica que compromete a saúde e a fertilidade da mulher, aumenta o risco de depressão, limita as suas atividades diárias e, em última análise, reduz a sua qualidade de vida, pode estar associada a distúrbios imunológicos e endócrinos, bem como atividade física e anormalidades teciduais. Atualmente existem três tipos de tratamento para a infertilidade relacionada à endometriose: tratamento clínico, cirurgia e métodos necessários para reprodução assistida. Finalmente, é bem conhecido que a endometriose causa infertilidade, mas os mecanismos necessitam de mais investigação. O tratamento que leva a isso ainda não é totalmente compreendido e não existe um tratamento padrão para pacientes patológicos

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

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

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data