Relação entre alterações emocionais, desenvolvimento de cefaleias e sintomas de DTM nos profissionais de saúde, em período pós-pandemia COVID-19

Introdução: Os profissionais de saúde estiveram expostos a grande tensão emocional, induzida pelas exigências inerentes ao controlo da pandemia COVID-19. Esta pode ter tido um efeito nocivo na sua saúde mental e torná-los vulneráveis ao desenvolvimento de cefaleias e de disfunções temporomandibulares (DTM). Objetivo: Avaliar a relação entre os níveis de depressão, ansiedade e stress, as cefaleias e os sintomas de disfunção da articulação temporomandibular (ATM) nos profissionais de saúde em contexto pós-pandémico. Materiais e métodos: Um estudo transversal foi realizado utilizando um questionário online distribuído entre a população em estudo, com recurso a redes sociais. A amostra foi caracterizada segundo parâmetros sociodemográficos, os estados emocionais depressão, ansiedade e stress (DASS-21), a presença de cefaleias (ICHD-3) e a presença de sintomas de disfunção da ATM (DC/TMD). A análise inferencial foi executada através dos testes Phi, V de Cramer e Gamma. Resultados: Fizeram parte da amostra 118 indivíduos, a maioria dos quais do género feminino com cargo de enfermagem. Verificou-se uma prevalência de depressão de 38,1%, de ansiedade de 51,7% e de stress de 39,8%. As cefaleias estavam presentes em 62,7% da amostra e os sintomas de DTM em 50%. Foi encontrada significância estatística entre as cefaleias e os níveis de stress (p=0,034), entre os sintomas de DTM e os níveis de depressão (p=0,009), ansiedade (p=0,003) e stress (p=0,014) e entre a presença de cefaleias e de sintomas de DTM (p=0,002). Conclusão: Observou-se uma relação positiva entre as cefaleias e o stress, entre os sintomas de DTM e os três parâmetros emocionais e entre os sintomas de DTM e as cefaleias. Os dados sugerem que a pandemia poderá ter potenciado estes sintomas.Background: Healthcare professionals have been exposed to various psychosocial stressors, due to the demand for containment of the COVID-19 pandemic, making them especially vulnerable to headaches and temporomandibular disorders (TMD). Aim: To evaluate the relationship between depression, anxiety, and stress levels, headache and TMD symptoms in healthcare professionals in a post-pandemic setting. Methods: A cross-sectional study was performed using an online questionnaire spread via social networks. The sample was characterized by selected demographic variables, depression, anxiety, and stress levels (DASS-21), headache presence (ICHD-3) and temporomandibular joint disorder presence (DC/TMD). Inferential statistical analysis was conducted, using the Phi, Cramer’s V and Gamma tests. Results: A representative sample of 118 participants was gathered, most of which being composed of women and nurses. A prevalence of 38,1% was found for depression, 51,7% for anxiety, and 39,8% for stress. Regarding headache a prevalence of 62,7% was reported and of 50% for TMD symptoms. Significant differences were found between headache and stress (p=0,034), symptoms of TMD and depression (p=0,009), anxiety (p=0,003), and stress levels (p=0,014), and between headache and TMD symptoms (p=0,002). Conclusions: There seems to be a positive correlation between headache and stress levels, between TMD symptoms and all psychosocial parameters and between TMD symptoms and headache. Data suggests that the pandemic could have been a contributing factor to the development of these disorders

Relationship assessment between mood disorders, headaches, and temporomandibular disorders in healthcare workers post-COVID-19 pandemic

Objectives: To evaluate the relationship between depression, anxiety, and stress levels, headaches, and symptoms of temporomandibular joint disorders in healthcare professionals in a post-pandemic setting. Methods: A cross-sectional study conducted through an online questionnaire was distributed among healthcare professionals in Mainland Portugal. The sample’s characterization was undertaken according to sociodemographic parameters. The following assessment instruments were used: 21-item Depression, Anxiety, and Stress Scale (DASS-21) for emotional parameters, namely depression, anxiety, and stress; International Classification of Headache Disorders (ICHD-3) for headache disorders; Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for temporomandibular joint dysfunction symptoms. Inferential analysis was performed using phi, Cramer’s V, and gamma tests. Results: The sample comprised 118 individuals (93.2% female, 6.8% male). Results showed a prevalence of 38.1% for depression, 51.7% for anxiety, and 39.8% for stress. Regarding headaches, a prevalence of 62.7% was reported. Symptoms of temporomandibular disorders had a prevalence of 50%. Significant differences were found between headache and stress (p=0.034), headache and temporomandibular joint disorders symptoms (p=0.002), and symptoms of temporomandibular disorders and depression (p=0.009), anxiety (p=0.003), and stress levels (p=0.014). Conclusions: There seems to be a positive correlation between headaches and stress levels, between temporomandibular disorders symptoms and all psychosocial parameters, and between temporomandibular disorder symptoms and headaches. Data suggests that these symptoms worsened after the pandemic

Micronutrient availability in amazonian dark earths and adjacent soils

Amazonian Dark Earths (ADEs) are highly fertile soils in areas with predominance of unfertile soils. However, the variation in nutrient availability between regions and the resilience of ADEs to modern agricultural use is still little known, particularly regarding micronutrient contents. Hence, the present study synthesized current information of ADE impacts on extractable micronutrient (Cu, Ni, Fe, Mn, Zn, B) contents at different soil depths and assessed in detail the role of both soil depth and land-use type on extractable Cu, Ni, Fe, Mn and Zn in nine ADEs and adjacent (ADJ) soils from different Amazonian regions. The land-use systems chosen were secondary old (OF) or young (YF) forests, and agricultural systems (AS) in Iranduba, Belterra and Porto Velho. Only eight studies compared extractable (Mehlich-1) micronutrient contents at 21 sites with ADEs and ADJ soils, but only four studies included depths greater than 30 cm, and B and Ni were evaluated in only one study. Higher Mn and Zn, but lower Fe contents were found in ADEs both from literature data and in the present study, especially in the first 30 cm depth. Increases in extractable Ni and Cu in ADEs varied according to the site and the land use considered. Micronutrient contents tended to decrease with depth, but varied depending on the element, site, soil type and land use. Sites with modern agriculture showed few differences in extractable micronutrient contents, except for a decrease in Fe in Belterra and Mn in Porto Velho. Considering the high amounts of some micro- and macronutrients in ADEs further work is warranted concerning soil management and nutrient balance in plants grown on these soils

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

A Molecular Survey of the Diversity of Microbial Communities in Different Amazonian Agricultural Model Systems

The processes of land conversion and agricultural intensification are a significant cause of biodiversity loss, with consequent negative effects both on the environment and the sustainability of food production.The anthrosols associated with pre-Colombian settlements in the Amazonian region are examples of how anthropogenic activities may sustain the native populations against harsh tropical environments for human establishment, even without a previous intentionality of anthropic soil formation. In a case study (Model I—“Slash-and-Burn”) the community structures detected by automated ribosomal intergenic spacer analysis (ARISA) revealed that soil archaeal, bacterial and fungal communities are heterogeneous and each capable of responding differently to environmental characteristics. ARISA data evidenced considerable difference in structure existing between microbial communities in forest and agricultural soils. In a second study (Model II—“Anthropogenic Soil”), the bacterial community structures revealed by terminal restriction fragment length polymorphism (T-RFLP) differed among an Amazonian Dark Earth (ADE), black carbon (BC) and its adjacent non-anthropogenic oxisoil. The bacterial 16S rRNA gene (OTU) richness estimated by pyrosequencing was higher in ADE than BC. The most abundant bacterial phyla in ADE soils and BC were Proteobacteria—24% ADE, 15% BC; Acidobacteria—10% ADE, 21% BC; Actinobacteria—7% ADE, 12% BC; Verrucomicrobia, 8% ADE; 9% BC; Firmicutes—3% ADE, 8% BC. Overall, unclassified bacteria corresponded to 36% ADE, and 26% BC. Regardless of current land uses, our data suggest that soil microbial community structures may be strongly influenced by the historical soil management and that anthrosols in Amazonia, of anthropogenic origins, in addition to their capacity of enhancing crop yields, may also improve microbial diversity, with the support of the black carbon, which may sustain a particular and unique habitat for the microbes

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

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