RESUMO
Background and Objectives: This study aimed to examine the effects of a low-cost multicomponent exercise program on health-related functional fitness in the community-dwelling aged and older adults. As a second objective, this study compared the exercise program between aged adults (<65 years) and those considered elderly (≥65 years). Materials and Methods: Forty-eight participants were included in the exercise program, and their mean age was 64.73 years (±5.93 years). The Senior Fitness Tests were performed by each participant. A dynamometer was used to assess hand grip strength, and body composition was assessed considering the body mass index. Paired-sample t test was used to compare data at baseline and after the exercise program, considering the total sample. Afterwards, a 2 × 2 analysis of variance was used to examine differences within and between groups. Results: Statistically significant improvements in the chair stand (t = -14.06; p < 0.001; d = 0.42), arm curl (t = -12.10; p < 0.001; d = 0.58), 2 min step test (t = -9.41; p < 0.001; d = 0.24), timed up and go test (t = 5.60; p < 0.001; d = 0.19), and hand grip strength (t = -3.33; p < 0.001; d = 0.15) were observed. There were also significant differences in the back scratch (t = -6.68; p < 0.001; d = 0.18) and chair sit and reach test (t = 5.04; p < 0.001; d = 0.05), as well as body mass index (p < 0.05). No significant differences were found between groups (p > 0.05). Conclusion: This study provides evidence that a 24-week low-cost community-based exercise program can improve functional fitness in aged and in older adults. The exercise program supplied the necessary data to construct further randomized controlled trials that can be performed in the community in an environmentally sustainable fashion and applied, not only to the elderly, but also to those transitioning to this age group.
Assuntos
Vida Independente , Aptidão Física , Idoso , Humanos , Pessoa de Meia-Idade , Força da Mão , Equilíbrio Postural , Estudos de Tempo e Movimento , Terapia por ExercícioRESUMO
The Amazon is Brazil's greatest natural resource and invaluable to the rest of the world as a buffer against climate change. The recent election of Brazil's president brought disputes over development plans for the region back into the spotlight. Historically, the development model for the Amazon has focused on exploitation of natural resources, resulting in environmental degradation, particularly deforestation. Although considerable attention has focused on the long-term global cost of "losing the Amazon," too little attention has focused on the emergence and reemergence of vector-borne diseases that directly impact the local population, with spillover effects to other neighboring areas. We discuss the impact of Amazon development models on human health, with a focus on vector-borne disease risk. We outline policy actions that could mitigate these negative impacts while creating opportunities for environmentally sensitive economic activities.
Assuntos
Agricultura/métodos , Conservação dos Recursos Naturais/métodos , Doenças Transmitidas por Vetores/epidemiologia , Agricultura/legislação & jurisprudência , Brasil , Mudança Climática , Conservação dos Recursos Naturais/legislação & jurisprudência , Doença/etiologia , Ecossistema , Florestas , Humanos , Doenças Transmitidas por Vetores/transmissãoRESUMO
This report sought to critically examine proposals, potentials, and challenges of environmental health observatories with an emphasis on climate change processes. A critical review of existing environmental health observatories was performed, examining their purposes, potential audiences, and technological platforms. The implementation of the Brazilian Climate and Health Observatory (C&HO) is described, and two stages are defined: (i) the requirement analysis and negotiation stage that identified the national and regional institutional players and their roles as data producers/users; and (ii) thematic health-related workshops that reviewed water-related diseases, vector-borne diseases, extreme climate events, and health problems derived from forest fires. The C&HO is an example of making information on climate and health available through an Internet site where data from different origins can be accessed on a common platform. Complex queries are made by users and can be executed over multiple sites, geographically distributed, with all technical details hidden from the end user. At this stage of the C&HO prototype, alongside the queries, users can also produce semi-qualitative graphs and maps. A multi-scale approach was developed using the platform by setting up sentinel sites. Building a successful observatory is a participatory process that involves choosing indicators, data sources, information technology, and languages to best reach different audiences, such as researchers, citizens, public health professionals, and decisionmakers.
Assuntos
Mudança Climática , Meio Ambiente , Disseminação de Informação/métodos , Internet , Saúde Pública , Brasil , HumanosRESUMO
Schistosomiasis is a neglected tropical disease caused by Schistosoma parasites. Schistosoma are obligate parasites of freshwater Biomphalaria snails, so controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change. Here, we leveraged machine learning, remote sensing, and 30 years of snail occurrence records to map the historical and current distribution of competent Biomphalaria throughout Brazil. We identified key features influencing the distribution of suitable habitat and determined how Biomphalaria habitat has changed with climate and urbanization over the last three decades. Our models show that climate change has driven broad shifts in snail host range, whereas expansion of urban and peri-urban areas has driven localized increases in habitat suitability. Elucidating change in Biomphalaria distribution - while accounting for non-linearities that are difficult to detect from local case studies - can help inform schistosomiasis control strategies.
RESUMO
Schistosomiasis is a neglected tropical disease caused by Schistosoma parasites. Schistosoma are obligate parasites of freshwater Biomphalaria and Bulinus snails, thus controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change. Here, we used machine learning, remote sensing, and 30 years of snail occurrence records to map the historical and current distribution of forward-transmitting Biomphalaria hosts throughout Brazil. We identified key features influencing the distribution of suitable habitat and determined how Biomphalaria habitat has changed with climate and urbanization over the last three decades. Our models show that climate change has driven broad shifts in snail host range, whereas expansion of urban and peri-urban areas has driven localized increases in habitat suitability. Elucidating change in Biomphalaria distribution-while accounting for non-linearities that are difficult to detect from local case studies-can help inform schistosomiasis control strategies.
Assuntos
Biomphalaria , Mudança Climática , Ecossistema , Schistosoma mansoni , Esquistossomose mansoni , Urbanização , Animais , Brasil , Schistosoma mansoni/fisiologia , Biomphalaria/parasitologia , Esquistossomose mansoni/transmissão , Esquistossomose mansoni/epidemiologia , Esquistossomose mansoni/parasitologia , Caramujos/parasitologia , Caramujos/fisiologia , HumanosRESUMO
BACKGROUND: Loneliness in older people seems to have emerged as an increasingly prevalent social problem. OBJECTIVE: To apply a machine learning (ML) algorithm to the task of understanding the influence of sociodemographic variables, physical fitness, physical activity levels (PAL), and sedentary behavior (SB) on the loneliness feelings of physically trained older people. MATERIALS AND METHODS: The UCLA loneliness scale was used to evaluate loneliness, the Functional Fitness Test Battery was used to evaluate the correlation of sociodemographic variables, physical fitness, PAL, and SB in the loneliness feelings scores of 23 trained older people (19 women and 4 men). For this purpose, a naive Bayes ML algorithm was applied. RESULTS: After analysis, we inferred that aerobic fitness (AF), hand grip strength (HG), and upper limb strength (ULS) comprised the most relevant variables panel to cause high participant loneliness with 100% accuracy and F-1 score. CONCLUSIONS: The naive Bayes algorithm with leave-one-out cross-validation (LOOCV) predicted loneliness in trained older with a high precision. In addition, AF was the most potent variable in reducing loneliness risk.
RESUMO
Applying data-reduction techniques to extract meaningful information from electronic performance and tracking systems (EPTS) has become a hot topic in football training load (TL) monitoring. The aim of this study was to reduce the dimensionality of the internal and external load measures, by a principal component approach, to describe and explain the resultant equations for TL monitoring during a standard in-season microcycle in sub-elite youth football. Additionally, it is intended to identify the most representative measure for each principal component. A principal component analysis (PCA) was conducted with a Monte Carlo parallel analysis and VariMax rotation to extract baseline characteristics, external TL, heart rate (HR)-based measures and perceived exertion. Training data were collected from sixty sub-elite young football players during a 6-week training period using 18 Hz global positioning system (GPS) with inertial sensors, 1 Hz short-range telemetry system, total quality recovery (TQR) and rating of perceived exertion (RPE). Five principal components accounted for 68.7% of the total variance explained in the training data. Resultant equations from PCA was subdivided into: (1) explosiveness, accelerations and impacts (27.4%); (2) high-speed running (16.2%); (3) HR-based measures (10.0%); (4) baseline characteristics (8.3%); and (5) average running velocity (6.7%). Considering the highest factor in each principal component, decelerations (PCA 1), sprint distance (PCA 2), average HR (PCA 3), chronological age (PCA 4) and maximal speed (PCA 5) are the conditional dimension to be considered in TL monitoring during a standard microcycle in sub-elite youth football players. Current research provides the first composite equations to extract the most representative components during a standard in-season microcycle in sub-elite youth football players. Futures research should expand the resultant equations within training days, by considering other well-being measures, technical-tactical skills and match-related contextual factors.
Assuntos
Futebol Americano , Corrida , Humanos , Adolescente , Aceleração , Corrida/fisiologia , Sistemas de Informação GeográficaRESUMO
OBJECTIVES: This study aimed to examine the relationship between age, body mass index, muscle strength, and balance in physically active, aged adults. METHODS: Eighty-five participants were recruited for this study, having an average age of 70.31 years (SD = 9.90), ranging from 50 to 92 years. Twenty-six (30.6%) participants were male and fifty-nine (69.4%) were female. The participants had an average body mass index of 27.30 kg/m2 (SD = 3.62), ranging from 20.32 to 38.58 kg/m2. Participants undertook the Timed-Up and Go to test balance, and the chair-stand test to assess lower body strength. Hierarchical regression analyses were conducted. Three models (Model 1, 2, and 3) were tested to assess their relationships with balance: M1-Lower body muscle strength; M2-Lower body muscle strength and body mass index; M3-Lower body muscle strength, body mass index, and age. RESULTS: All hierarchical models displayed significant variance. The third model explained 50.9% of the variance in dynamic balance, [F(3, 81) = 27.94, p < 0.001, R = 0.71, Ra2 = 0.51]. The difference in Ra2 between the first, second, and third models was statistically significant (p < 0.05). Age, body mass index, and lower body muscle strength had significant (p < 0.05) correlations with balance. In terms of the significant impact of each predictor, age had the strongest association with balance (p < 0.05). CONCLUSIONS: The results are useful to understand mechanisms or diagnose people at risk of fall.
RESUMO
BACKGROUND AND OBJECTIVES: Pilates training intervention programs have gained attention as a potential approach to enhancing balance in older adults, thereby reducing the risk of falls. In light of these considerations, this systematic review and meta-analysis aimed to critically evaluate the existing evidence and determine the effect of Pilates training intervention programs on older adults' balance. MATERIALS AND METHODS: The literature was searched through the PubMed, Web of Science, and Scopus databases from inception until July 2023. The primary keywords used for the literature search included "elderly" or "older adults" and "pilates training" and "balance". RESULTS: The systematic review through qualitative analysis showed robust evidence about the efficacy of Pilates intervention programs in improving older adults' balance. The pooled meta-analysis of static and dynamic balance showed that eight (53%) out of a total fifteen analyzed interventions presented a significant effect of Pilates in improving the participants' balance, without between-study heterogeneity. In addition, the meta-analysis regarding dynamic balance showed that six (67%) out of nine analyzed interventions presented a significant effect of Pilates in improving the participants' balance, without heterogeneity between studies. Similarly, the meta-analysis regarding static balance showed that four (50%) out of eight analyzed studies presented significant effects on the older adults' balance, where moderate between-study heterogeneity was found. Sensitivity analysis showed that three studies reduced the between-study heterogeneity (19, 17.6, and 17%), regressing from moderate to low heterogeneity, p < 0.05. CONCLUSIONS: This systematic review and meta-analysis underscores the potential of Pilates training as a valuable intervention to enhance balance in the elderly population.
RESUMO
The increasing prevalence of overweight and obesity among adults is a risk factor for many chronic diseases and death. In addition, obesity among children and adolescents has reached unprecedented levels and studies show that obese children and adolescents are more likely to become obese adults. Therefore, both the prevention and treatment of obesity in adolescents are critical. This study aimed to develop an artificial intelligence (AI) neural network (NNET) model that identifies the risk of obesity in Portuguese adolescents based on their body mass index (BMI) percentiles and levels of physical fitness. Using datasets from the FITescola® project, 654 adolescents aged between 10-19 years old, male: 334 (51%), female: n = 320 (49%), age 13.8 ± 2 years old, were selected to participate in a cross-sectional observational study. Physical fitness variables, age, and sex were used to identify the risk of obesity. The NNET had good accuracy (75%) and performance validation through the Receiver Operating Characteristic using the Area Under the Curve (ROC AUC = 64%) in identifying the risk of obesity in Portuguese adolescents based on the BMI percentiles. Correlations of moderate effect size were perceived for aerobic fitness (AF), upper limbs strength (ULS), and sprint time (ST), showing that some physical fitness variables contributed to the obesity risk of the adolescents. Our NNET presented a good accuracy (75%) and was validated with the K-Folds Cross-Validation (K-Folds CV) with good accuracy (71%) and ROC AUC (66%). According to the NNET, there was an increased risk of obesity linked to low physical fitness in Portuguese teenagers.
RESUMO
Obesity and decreasing fitness levels among the youth are growing concerns in Portugal, similar to other developed countries, with implications for health and psychomotor development. Understanding the influence of health determinants such as sex and age are crucial for developing effective public health strategies. This study aimed to analyze the association between sex and chronological age with obesity status and physical fitness in Portuguese adolescents. A total of 170 adolescents (85 males and 85 females) were evaluated for body mass index, abdominal adiposity, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed in a 40 m sprint using the FITescola® physical fitness battery, a Portuguese government initiative. The general model, analyzed using Pillai's trace, showed a significant effect of age and sex on body mass index, abdominal circumference, aerobic fitness, abdominal resistance, upper limb resistance, lower limb power, and maximal running speed (V = 0.99, F (7) = 10,916.4, p < 0.001, partial η2, sex = 0.22; age = 0.43, sex and age interaction = 0.10). Boys had higher physical fitness levels than girls in most tests, but both sex groups had a significantly higher proportion of non-fit adolescents, with boys showing the highest number of participants classified as non-fit.
Assuntos
Aptidão Física , Corrida , Humanos , Masculino , Adolescente , Feminino , Lactente , Portugal/epidemiologia , Obesidade/epidemiologia , Índice de Massa CorporalRESUMO
Background: Positional data have been used to capture physical and tactical factors in football, however current research is now looking to apply spatiotemporal parameters from an integrative perspective. Thus, the aim of this article was to systematically review the published articles that integrate physical and tactical variables in football using positional data. Methods and Materials: Following the Preferred Reporting Item for Systematic Reviews and Meta-analyses (PRISMA), a systematic search of relevant English-language articles was performed from earliest record to August 2021. The methodological quality of the studies was evaluated using the modified Downs and Black Quality Index (observational and cross-sectional studies) and the Physiotherapy Evidence Database (PEDro) scale (intervention studies). Results: The literature search returned 982 articles (WoS = 495; PubMed = 232 and SportDiscus = 255). After screening, 26 full-text articles met the inclusion criteria and data extraction was conducted. All studies considered the integration of physical and tactical variables in football using positional data (n = 26). Other dimensions were also reported, such as psychophysiological and technical factors, however the results of these approaches were not the focus of the analysis (n = 5). Quasi-experimental approaches considered training sets (n = 20) and match contexts (n = 6). One study analysed both training and play insights. Small sided-games (SSG) were the most common training task formats in the reviewed studies, with only three articles addressing medium-sided (MSG) (n = 1) and large-sided games (LSG) (n = 2), respectively. Conclusions: Among the current systematic review, the physical data can be integrated by player's movement speed. Positional datasets can be computed by spatial movement, complex indexes, playing areas, intra-team and inter-team dyads. Futures researches should consider applying positional data in women's football environments and explore the representativeness of the MSG and LSG.
Assuntos
Desempenho Atlético , Futebol , Feminino , Humanos , Desempenho Atlético/fisiologia , Estudos Transversais , Bases de Dados Factuais , Futebol/fisiologiaRESUMO
The aim of this study was to verify the relationship between abdominal adiposity and physical fitness in the obesity status of Portuguese adolescents. BMI, abdominal adiposity, and physical fitness tests from the FITescola® were evaluated in a total of 654 Portuguese adolescents, aged 10-19 years old-male: n = 334 (51%), female: n = 320 (49%). For the final model, BMI was positively related with age (ß = 0.25), abdominal adiposity (ß = 0.313), horizontal jump (ß = -0.100), 40 m maximal velocity (ß = 0.274), and aerobic fitness (ß = -0.250, R2 = 0.75, F = 382.2, and p = 0.0001). We conclude that higher age and abdominal adiposity are positively related with a higher adolescent BMI. Furthermore, lower horizontal jump distances and worse times on the 40 m maximal velocity were inversely related with a higher adolescent BMI, and lower aerobic fitness was inversely related with a higher adolescent BMI.
Assuntos
Adiposidade , Aptidão Física , Adolescente , Adulto , Índice de Massa Corporal , Criança , Estudos Transversais , Feminino , Humanos , Masculino , Obesidade , Obesidade Abdominal/epidemiologia , Portugal/epidemiologia , Adulto JovemRESUMO
The impact of violence on the population's health profile in large Brazilian cities is a real concern and has been incorporated into the country's public health agenda. Although violent crimes affect the entire population, they are distributed unequally in the city. In this context, analytical tools to evaluate the risk and spatial distribution of homicide are important for surveillance and prevention. The current article is a contribution in this direction. A geostatistical methodology is used to estimate and map homicide risk, and a new semivariogram estimator is presented and its application is evaluated in the city of São Paulo, Brazil, for the period 2002 to 2004. Homicide risk scenarios are generated using binomial cokriging and stochastic simulation procedures, allowing the demarcation of areas with greater or lesser risk that can be used to study spatial determinants of violence and improve the understanding of problems through analysis of differences across urban territories.
Assuntos
Sistemas de Informação Geográfica/estatística & dados numéricos , Homicídio/estatística & dados numéricos , Distribuição Binomial , Brasil/epidemiologia , Cidades/epidemiologia , Homicídio/prevenção & controle , Humanos , Medição de Risco/estatística & dados numéricos , Processos Estocásticos , Fatores de Tempo , População UrbanaRESUMO
Urbanization has altered the distribution of diseases of public health importance along gradients of human occupation. Adopting dichotomous urban/rural categories to explain differences in the risk of exposure, as well as the prevention of diseases is insufficient. In this paper, we present the potential of representations based on the gradient perspective to characterize the living spaces of municipalities where malaria is endemic in northwest Acre. Inventoried data in 40 localities in the Mâncio Lima and Rodrigues Alves municipalities and information on land use and land cover obtained from the TerraClass Database were used to characterize the urban spatial forms and their social content. Results showed a gradient of intensities: from municipal seats to the most connected localities through the road network to riverine communities. Based on the results, we hope to advance the discussion about the use of normative definitions of “urban” and “rural” for public policies and actions to control and eliminate malaria, considering the position of each locality in its own locally referenced urban gradient.
Assuntos
População Rural/estatística & dados numéricos , População Urbana/estatística & dados numéricos , Brasil/epidemiologia , Cidades , Humanos , Malária/epidemiologia , Política Pública , UrbanizaçãoRESUMO
This paper presents a case study on environmental aspects related to the occurrence of visceral leishmaniasis in Teresina, Piauí, Brazil, from 1993 to 1996, in order to discuss the use of some appropriate geo-processing methods for median-resolution remote sensing images potentially useful for studying vector-borne transmissible diseases in urban areas. We present the main techniques: registration, geometric correction, restoration, fusion, segmentation, and classification. Using intra-class correlation indices applied to the proportion of area by class in the census tract, we compare four classifiers: Maxver, Bhattacharya, K-means, and Isoseg. This comparison was not devised to choose the best classifier, but to depict different classification scenarios aimed at recognizing the best identifiable image classes in urban settings. We conclude that even with limited resources, using low-cost and easily available median resolution images and free software to process and integrate information, it is possible to identify land use characteristics, potentially appropriate for analyzing urban areas exposed to environmental risk for vector-borne diseases.
Assuntos
Doenças Endêmicas , Monitoramento Ambiental/métodos , Sistemas de Informação Geográfica/instrumentação , Leishmaniose Visceral/epidemiologia , Comunicações Via Satélite , Animais , Brasil/epidemiologia , Monitoramento Epidemiológico , Humanos , Insetos Vetores , Leishmaniose Visceral/transmissão , Vigilância da População , População UrbanaRESUMO
Aedes aegypti has played a major role in the dramatic expansion of dengue worldwide. The failure of control programs in reducing the rhythm of global dengue expansion through vector control suggests the need for studies to support more appropriated control strategies. We report here the results of a longitudinal study on Ae. aegypti population dynamics through continuous egg sampling aiming to characterize the infestation of urban areas of a Brazilian oceanic island, Fernando de Noronha. The spatial and temporal distribution of the dengue vector population in urban areas of the island was described using a monitoring system (SMCP-Aedes) based on a 103-trap network for Aedes egg sampling, using GIS and spatial statistics analysis tools. Mean egg densities were estimated over a 29-month period starting in 2011 and producing monthly maps of mosquito abundance. The system detected continuous Ae. aegypti oviposition in most traps. The high global positive ovitrap index (POI=83.7% of 2815 events) indicated the frequent presence of blood-fed-egg laying females at every sampling station. Egg density (eggs/ovitrap/month) reached peak values of 297.3 (0 - 2020) in May and 295 (0 - 2140) in August 2012. The presence of a stable Ae. aegypti population established throughout the inhabited areas of the island was demonstrated. A strong association between egg abundance and rainfall with a 2-month lag was observed, which combined with a first-order autocorrelation observed in the series of egg counts can provide an important forecasting tool. This first description of the characteristics of the island infestation by the dengue vector provides baseline information to analyze relationships between the spatial distribution of the vector and dengue cases, and to the development of integrated vector control strategies.
Assuntos
Aedes/crescimento & desenvolvimento , Dengue/transmissão , Insetos Vetores , Animais , Brasil , Entomologia , Feminino , Humanos , Ilhas , Estudos Longitudinais , Dinâmica Populacional , Análise Espaço-Temporal , População UrbanaRESUMO
Resumo Na Amazônia brasileira, as dinâmicas de urbanização e conversão florestal possuem lógicas complexas, dependentes de fatores e agentes atuando em diferentes escalas. Este artigo explora a evolução espacial e temporal da urbanização e da conversão florestal na Amazônia, a partir de elementos mensuráveis presentes nestes processos: a expansão urbana, dimensão observável dos processos de urbanização; e o desmatamento, uma medida dos processos de conversão florestal. A identificação de padrões espaço-temporais similares, avaliados quanto às tendências de evolução temporal do grau de urbanização e incremento de desmatamento em 2000, 2010 e 2014, foi base para a proposta de uma tipologia das relações entre expansão urbana e desmatamento para os estados da Amazônia Legal e municípios do Pará. O estudo explorou também as relações entre expansão urbana e desmatamento, com uso de regressões geograficamente ponderadas (GWR), observando duas unidades espaciais de análise para o estado do Pará: os limites municipais e uma grade celular (20x20km). Esta abordagem multiescalar evidenciou a dificuldade de se estabelecerem relações conclusivas quanto à co-ocorrência, ou concordância, da evolução dos processos de urbanização e conversão florestal. Os resultados contribuem para o estabelecimento de uma agenda sobre modelos de desenvolvimento regional que retome o urbano como essencial para uma Amazônia socialmente justa e ambientalmente responsável.
Abstract In the Brazilian Amazon, dynamics of urbanization and forest conversion have complex logics, and are dependent on factors and agents operating at different levels. This article explores the spatial and temporal evolution of urbanization and forest conversion in the Amazon region from measurable elements present in these processes: urban expansion, observable dimensions of urbanization processes, and deforestation, a measure of forest conversion processes. The identification of similar spatiotemporal patterns, evaluated according to trends in the evolution of the degree of urbanization and the increase of deforestation in the years 2000, 2010 and 2014, was the basis for proposing a typology of relation between urban expansion and deforestation for the states of the Brazilian Legal Amazon and municipalities of Pará State. The study also explored the relation between urban expansion and deforestation, using Geographically Weighted Regression (GWR), observing two spatial units of analysis for Pará State: the municipal boundaries and a regular grid (20x20km). This multiscale approach evidenced the difficulty in establishing conclusive relationships regarding co-occurrence, or agreement, between the evolution of urbanization and forest conversion processes. Our results aim to establish an agenda on regional development models which take the urban phenomenon as essential for a socially just and environmentally responsible Amazon.
Resumen En la Amazonia brasileña las dinámicas de urbanización y conversión selvática poseen lógicas complejas que dependen de factores y agentes que actúan en diferentes escalas. Este artículo explora la evolución espacial y temporal de la urbanización y la conversión selvática en la Amazonia a partir de elementos mensurables presentes en estos procesos: la expansión urbana, dimensión observable de los procesos de urbanización, y la deforestación, una medida de los procesos de conversión selvática. La identificación de patrones espaciotemporales similares, evaluados en cuanto a las tendencias de evolución temporal del grado de urbanización y del incremento de deforestación en los años 2000, 2010 y 2014 fueron la base para la propuesta de una tipología de las relaciones entre expansión urbana y deforestación para los municipios del Pará. El estudio exploró también las relaciones entre expansión urbana y deforestación, mediante el uso de la regresión geográficamente ponderada (GWR), observando dos unidades espaciales de análisis para el Pará: los límites municipales y una rejilla con celdas (20x20km). Este enfoque multiescalar evidenció la dificultad para establecer relaciones concluyentes en cuanto a la coocurrencia, o la concordancia, entre los procesos de urbanización y conversión selvática. Los resultados contribuyen al establecimiento de una agenda sobre modelos de desarrollo regional que retome lo urbano como esencial para una Amazonia socialmente justa y ambientalmente responsable.