Socio-environmental Characteristics Research Articles

Exploring drivers of fintech adoption among elderly consumers

As the digital economy expands, understanding the integration of elderly consumers into this paradigm becomes crucial. This study presents a nuanced exploration of the factors that influence elderly consumers' adoption of fintech services and elucidates the pivotal role of daily digital experiences in fostering the elderly's acceptance of such services. Employing an integrative approach, this study examines demographic, personal, socioenvironmental, and digital usage characteristics, through South Korean panel data (N = 3465) from 2019 to 2020. The findings uniquely identify the 50–64 age group and those cohabitating with younger generations as being more inclined toward fintech usage. This study introduces a novel perspective by demonstrating that elderly individuals' enjoyment of digital media and their engagement with younger generations significantly drive their involvement with fintech services. The elderly exhibits substantial potential as proactive fintech users, navigating perceived risks with discernment. This study contributes to the academic discourse by offering comprehensive insights into elderly consumers' fintech adoption, highlighting the importance of understanding this demographic's unique preferences and interactions with the digital economy. It also underscores the potential for targeted strategies to enhance fintech service adoption among the elderly and foster a more inclusive digital finance landscape.

Dietary Quality Impacts the Gut Microbiome and Is Associated With Neighborhood Socioenvironmental Characteristics

Dietary Quality Impacts the Gut Microbiome and Is Associated With Neighborhood Socioenvironmental Characteristics

Combining vector and raster data in regionalization: A unified framework for delineating spatial unit boundaries for socio-environmental systems analyses

Regionalization has emerged as a crucial research area for the past 50 years, including aggregating smaller areas into larger, contiguous, and/or homogeneous regions. Spatial optimization techniques are advantageous for solving regionalization problems, yet their nondeterministic polynomial-time (NP) hard nature leads to computational complexity and time consumption, especially with extensive datasets. Although regionalization studies play a pivotal role in defining boundaries for multi-scalar analysis and modeling complex socio-environmental systems (SES), current approaches lack integrated consideration of raster and vector data. We introduce a unified, structured framework integrating Geographic Information Systems (GIS), image segmentation, and regionalization to identify and characterize socio-environmental units accounting for various data models and types. We use a public geodatabase of the Rio Grande/Bravo basin, an SES covering diverse cultures, ecosystems, and economies, to demonstrate the functionality of our newly developed method, which effectively identifies spatial units for subsequent SES analysis and modeling. The delineation process accounts for various factors, including administrative boundaries, estimated total quantities, compactness, spatial contiguity, and similarity in socio-environmental characteristics. To make this work reproducible, replicable, and expandable, we developed the approach entirely based on open-source Python packages. Our method is easily transferable to other research using various data formats and spatial scales to delineate spatial unit boundaries effectively and efficiently.

Promoting blockchain technology in low-carbon management to achieve firm performance from a socio-economic perspective: Empirical evidence from China

Blockchain technology is a disruptive innovation that can accelerate carbon neutrality while maintaining business growth. However, its full potential has yet to be fully understood due to the complexity of its technical and socio-environmental characteristics. Drawing on socio-technical theory, this study aims to explore the main antecedents and their influencing mechanisms on blockchain-based low-carbon emission management, as well as investigate whether reducing carbon emissions leads to improved firm performance. Using data from 395 online respondents recruited from Chinese companies, the results of PLS-SEM indicate that cost-benefit efficiency, socio-environmental competitive pressure, and environmental legitimacy positively influence both the basic and auxiliary adoption of blockchain in low-carbon emission management. Additionally, relative advantage and regulatory policy partially influence the adoption of blockchain, while technology readiness has no significant effect on either basic or auxiliary adoption. Furthermore, both the basic and auxiliary adoption of blockchain contribute to carbon emission reduction and improve firm performance (i.e., operational, economic, and social performance). The findings of this study will contribute to the growing literature and managerial practice regarding blockchain technology and carbon neutrality.

Young Adults' Exposure to and Engagement With Tobacco-Related Social Media Content and Subsequent Tobacco Use.

Nicotine/tobacco social media content may increase young people's risk for use. This study examined prospective associations between exposure to and engagement with nicotine/tobacco-related social media content and nicotine/tobacco use among young adults. Young adults (N = 2080) originally recruited from Southern California high schools for a prospective cohort study reported frequency of viewing and posting nicotine/tobacco content on four social media platforms (Facebook, Instagram, Twitter, and YouTube). Participants also reported frequency of seeing nicotine/tobacco posts from friends, seeing nicotine/tobacco posts from influencers or celebrities, and liking nicotine/tobacco posts. Within subsamples of nicotine/tobacco never users (n = 794), past users (n = 897) and current users (n = 389), analyses examined associations of baseline (May-October 2020) social media content exposure and engagement with follow-up (January-June 2021) tobacco use initiation (among never users), resumption (among past users), and continuation (among current users), adjusting for sociodemographic and socioenvironmental characteristics. Never users who saw nicotine/tobacco posts from friends (Adjusted Odds Ratio [AOR] = 2.91 [95% Confidence Interval [CI]: 1.46, 5.82], p = .002) or from celebrities or influencers (AOR = 2.77 [1.32, 5.84], p = .007) were significantly more likely to initiate nicotine/tobacco use than their peers. Among past users, posting nicotine/tobacco content at baseline was associated with use resumption (AOR = 1.77 [1.12, 2.80], p = .014). Content exposure and engagement were not associated with nicotine/tobacco use continuation among current users (p-values > .05). Seeing nicotine/tobacco posts from friends, influencers, or celebrities was associated with greater odds of tobacco use initiation, but not resumption or continuation, 6 months later. Young adults with past nicotine/tobacco use who post about nicotine/tobacco may be at elevated risk for resuming use. Young adults with exposure to nicotine/tobacco social media content were more likely than their peers to initiate nicotine/tobacco use 6 months later. Past nicotine/tobacco users who reported posting about nicotine/tobacco on social media at baseline were more likely than their peers to resume nicotine/tobacco use. Among young adults with current nicotine/tobacco use at baseline, social media activity did not predict odds of nicotine/tobacco use continuation at follow-up. Nicotine/tobacco content on social media should be restricted to reduce young people's chances of nicotine/tobacco use initiation or resumption.

Effects of urbanization and accessibility to sanitation services on water quality in urban streams in Uruguay.

The world's urban population is growing rapidly, and threatening natural ecosystems, especially streams. Urbanization leads to stream alterations, increased peak flow frequencies, and reduced water quality due to pollutants, morphological changes, and biodiversity loss, known as the urban stream syndrome. However, a shift towards recognizing urban streams as valuable natural systems is occurring, emphasizing green infrastructure and nature-based solutions. This study in Uruguay examined water quality in various watersheds with different urbanization levels and socio-environmental characteristics along a precipitation gradient. Using Geographic Information Systems (GIS) and in situ data, we assessed physicochemical parameters, generated territorial variables, and identified key predictors of water quality. We found that urbanization, particularly urban areas, paved areas, and populations without sanitation, significantly influenced water quality parameters. These factors explained over 50% of the variation in water quality indicators. However, the relationship between urbanization and water quality was non-linear, with abrupt declines after specific urban intensity thresholds. Our results illustrate that ensuring sanitation networks and managing green areas effectively are essential for preserving urban stream water quality. This research underscores the importance of interdisciplinary teams and localized data for informed freshwater resource management.

RISK FACTORS OF OSTEOARTHRITIS AMONG OLDER ADULTS WITH COGNITIVE DECLINE IN SOUTH KOREA

Abstract Individuals with cognitive decline are vulnerable to developing osteoarthritis owing to reduced physical activity and impaired communicational ability. While the cross-sectional relationship between cognitive decline and chronic diseases has been previously studied, longitudinal studies are needed to identify determinants associated with the onset of osteoarthritis among older adults with cognitive decline. This study was aimed at elucidating the risk factors of osteoarthritis based on cognitive status. 1,142 older adults, including 334 cognitive decline and 808 normal cognition individuals, were selected from the Korean Longitudinal Study of Aging. Kaplan-Meier curves were plotted to estimate the probability of osteoarthritis based on the participants’ sex and cognitive status. Cox proportional hazard regression analysis was performed to determine factors associated with the risk of osteoarthritis after the participants were stratified by cognitive status. Female sex and advanced age were associated with a greater risk of osteoarthritis in both the participants with and without cognitive decline. Furthermore, the risk of osteoarthritis was significant among older adults with cognitive decline if they lived alone, were depressed, had social engagement fewer than once per week, or had a high dependency on others for completing activities of daily living. However, there was an increased risk of osteoarthritis among older adults with normal cognition who had a high body mass index and a chronic medical condition. Therefore, comprehensive coping strategies focusing on the socio-environmental characteristics and clinical symptoms of older adults with cognitive decline should be considered to prevent a further increase in the healthcare burden associated with osteoarthritis.

Agricultural practices and intestinal parasites: A study of socio-environmental risk factors associated with leafy vegetable production in La Plata horticultural area, Argentina

Foodborne diseases now represent one of the most important public health problems. The objectives were to analyze the leafy vegetables and crop soil to detect parasitic species and evaluate the factors that increase the risk of parasitic contamination in the productive units in La Plata horticultural area. The study included 261 leafy vegetable and 87 crop soil samples that were processed using washing, sedimentation, and flotation techniques. Socio-environmental characteristics and agricultural practices were surveyed, and a generalized linear model was used to assess the change in parasitic prevalence with different predictor variable. The 58.6% of leafy vegetable and 31.0% of crop soil samples contained parasitic species, the most prevalent being Blastocystis sp. and oocysts of Cryptosporidium spp. Risk factors were the limited access to health, dirt roads, children and dogs circulating in crops, field cultivation, furrow irrigation and lettuce cultivation. The high prevalence of intestinal parasites in the vegetable crops was mainly associated with the conditions of structural precariousness in the production units. These results elaborated with the participation of the population, provide valuable knowledge for the planning of epidemiological programs that include environmental health as a fundamental nexus in health campaigns.

Socioenvironmental determinants as indicators of plague risk in the central highlands of Madagascar: Experience of Ambositra and Tsiroanomandidy districts.

Human plague cases are reported annually in the central highland regions of Madagascar, where the disease is endemic. The socioenvironmental characteristics and lifestyles of the populations of the central highland localities could be linked to this endemicity. The aim of this study was to determine socioenvironmental determinants that may be associated with plague risk and explain this variation in epidemiological contexts. The current study was based on the distribution of plague cases between 2006 and 2015 that occurred in localities of districts positioned in the central highlands. Household surveys were performed from June to August 2017 using a questionnaire and direct observations on the socioenvironmental aspects of households in selected localities. Bivariate and multivariate analyses were performed to highlight the socioenvironmental parameters associated with plague risk in both districts. A total of 503 households were surveyed, of which 54.9% (276/503) were in Ambositra and 45.1% (227/503) were in Tsiroanomandidy. Multivariate analyses showed that thatched roofs [adjusted odds ratio (AOR): 2.63; 95% confidence interval (95% CI): 1.78-3.88] and ground floor houses [AOR: 2.11; 95% CI: 1.3-3.45-] were significantly associated with the vulnerability of a household to plague risk (p value<0.05). Plague risk in two districts of the Malagasy central highlands is associated with human socioenvironmental characteristics. Socioenvironmental characteristics are parameters expressing spatial heterogeneity through the difference in epidemiological expression of the plague in Ambositra and Tsiroanomandidy. These characteristics could be used as indicators of vulnerability to plague risk in plague-endemic areas.

Association between Urban Socio-Environmental Characteristics Including Travel Behavior, and Health Performance

Understanding the urban environment and the health status of residents is necessary for appropriate administrative services and regional management. This study used indicator scores derived from the area statistics of cities in the Tokyo metropolitan area to identify factors that affect health status. Indices were classified into two groups: health-related and non-health-related. The index values of each group served as the observed variables and were statistically standardized. The relationship between the two groups was analyzed using canonical correlation analysis. The results indicate that social infrastructure and daily travel behavior affect the health status of residents, possibly by promoting physical activity. Furthermore, characteristics of the urban environment and travel behavior were strongly associated with the ratio of deaths due to lifestyle-related diseases.

Opioid use disorder with chronic pain increases disease burden and service use.

To address the ongoing opioid epidemic, there has been an increased focus on the treatment and evaluation of opioid use disorder (OUD). OUD and chronic pain (CP) frequently co-occur; however, little is known about the additional comorbidities that present when they occur together as compared to when either condition presents alone. Using data from Fiscal Year 2012 Veteran's Health Administration, all veterans diagnosed with both OUD + CP were compared to those diagnosed with OUD or CP alone on socioenvironmental characteristics, medical and mental health diagnoses, and Veterans Affairs (VA) clinical service use. Veterans with OUD + CP (n = 33,166), compared to those with OUD only (n = 12,517), had higher numbers of medical conditions. Compared to those with CP only (n = 2,015,368), veterans with OUD + CP had higher rates of homelessness and substance use diagnoses. Most mental health diagnoses, numbers of psychotropic medication fills, opioid prescriptions, and use of all other services were higher in the OUD + CP group than in either single disorder group. Multinomial regression analysis revealed stronger effects for medical disorders and medical-surgical outpatient service use in the comparison of OUD + CP with OUD only and stronger effects for substance use and mental health disorders and use of prescription opiates in the comparison with CP only. These findings suggest that concurrent OUD + CP imposes exceptional disease and clinical service burdens that likely require the development of simultaneous, integrated approaches to treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Environmental characteristics, nutritional and executive functions in children of 6 to 7 years.

This study aimed to analyze the socio-environmental characteristics, executive and nutritional functions in children aged 6 to 7 years, from public schools in Alagoas, Brazil. A quantitative, cross-sectional and descriptive study was performed involving 64 children of the mentioned age group, from public schools located in Alagoas: Maceió, on the coast; Major Isidoro, in the hinterland and Palmeira dos Índios, in the country. Such analyzes were made through the application of neuropsychological tests and anthropometric assessment with children and food and socio-environmental surveys with their parents. As for the type of housing, 100% were made of masonry, with a bathroom present in 98.4%. All children reported with the habit of bathing in the river / lagoon, presented some pathology. There was no significant difference between cities in terms of the sociodemographic characteristics evaluated, with the same result occurring with the factors associated with the occurrence of diseases in children. The subtests of WISC-IV, were below the average in all municipalities, and the TAC and SCC were classified within the average. However, even though the ranking were divided between below average and average, it is possible to identify from the subtests of WISC-IV, that the general IQ showed a cognitive level below the average. There was also no significant difference in the anthropometric assessment (weight, height, BMI and IMCI) between the evaluated students. The average weight was 23.3 kg to 25 kg, the height between 1.23 m to 1.24 m, the BMI between 16.4 to 17; the IMCI from 2.8 to 3.0. Children were classified within the average. Regarding micronutrients (Ca, Fe, K, Mg and Na, and vitamins A, C, D, B1, B9 and B12) and calories, there was also no significant difference between the cities evaluated. The same occurred with macronutrients (proteins, carbohydrates and lipids). This study showed that in general there was no difference between the students of the three municipalities. Probably, even though they are all public schools and from different cities, children have similar social conditions.

Profiles of Mother-Infant risk in a nationally representative sample

This study examined profiles of maternal-infant risk with data from the Early Childhood Longitudinal Study- Birth Cohort (a nationally representative sample of U.S. families with a new infant in 2001) based on various infant (birth weight, prematurity), maternal (education, unemployment, unwanted pregnancy, teen birth), relationship (infant difficulty, authoritarian parenting, low developmental knowledge), and socio-environmental (poverty, public assistance) characteristics. Results of latent class analysis suggested three distinct profiles, with 56.1 % of families characterized as having little risk in these areas (low risk), 4.3 % characterized by a low birth weight and/or premature infant (high-biological risk), and 39.6 % characterized by a greater probability of risk in all areas, particularly poverty (high-risk). Mothers in the high-risk profile were disproportionately single, as well as reported greater food insecurity and depressive symptoms. Non-English households and families of color were also overrepresented in the high-risk profile, indicating important race and ethnic disparities. Additionally, profile membership was associated with observed mother-infant interactions and infant developmental outcomes when infants were 9 months old, with families from the low risk profile tending to demonstrate the best outcomes. However, small effect sizes indicated only slight differences across these three broad groups. More research is needed to examine variation in parenting and child outcomes within each risk profile, particularly family strengths that support mothers and infants most prone to risk.

Influence of anthropic changes and environmental characteristics on the occurrence of Tegumentary Leishmaniasis in Montes Claros, Minas Gerais, Brazil, between 2012 and 2019

This is an ecological study that investigated the influence of environmental, socioeconomic characteristics and changes in land use and cover on the occurrence of Tegumentary Leishmaniasis (TL) in the city of Montes Claros. The relationships between the number of cases of TL, which occurred between 2012 and 2019, in each census sector and the standardized covariates (Number of properties, altitude, Brazilian Deprivation Index, Normalized Difference Vegetation Index (NDVI), proportion of sector (PS) deforested, PS that underwent other anthropic alterations and unaltered PS) were evaluated with ecological Bayesian Models. Four multivariate models were constructed, with similar quality of adjustments, but Model 1 was the most parsimonious. Model 1 revealed that for each one-unit increase of standard deviation (SD) in the log of the number of properties, at the altitude and root of the deforested PS, corresponds to an increase of 44%, 34% and 24.5% in the number of cases of TL, respectively. The variable NDVI, included in models 3 and 4, was positively associated with the increase in the number of TL cases, being that for each one-unit increase in the NDVI was verified an increase of 21.3% and 20.2% respectively in the models. This study showed that the spatial distribution of TL cases in the city of Montes Claros occurs in a heterogeneous way and our findings support the hypothesis that socio-environmental characteristics and deforestation influence the occurrence of this disease in the studied area. Thus, these factors must be considered for the development of disease control strategies.

Intergenerational Continuity of Child Sexual Abuse: Comparison of Mother and Emerging Adult Dyads

ABSTRACT Sexual abuse trauma can have long-term implications for individuals in terms of psychological functioning, relationships, and socio-environmental circumstances, all of which are elements that could explain the CSA intergenerational continuity phenomenon. There are few empirical studies drawing comparisons between families to identify factors associated with the intergenerational (dis)continuity of CSA. The objectives of this study are to compare mother and emerging adult dyads to determine differences between cycle maintainers, cycle breakers, cycle initiators, and a control group in terms of maternal maltreatment histories, mental health, attachment, and socio-environmental characteristics. A sample of 186 dyads was recruited across Canada to participate in an online study. The study represents a cross-sectional design and bivariate and multivariate analyses were used. The results support prior research that there is a higher risk of CSA in dyads where the mother experienced CSA (OR = 1.38). Compared to cycle initiators, maintainers reported greater psychological distress (M = 27.23; 35.18), and lower mother-rated parent-child attachment (M = 115.83; 111.43). Maintainers reported more post-traumatic stress symptoms only in comparison to the control group (M = 24.82; 10.13). Mothers in cycle maintaining dyads were exposed to more acts of domestic violence than those in cycle breaking dyads (OR = 2.43). No group differences were observed for intimate partner attachment. Findings should be replicated using robust methodological designs (e.g., longitudinal, mixed methods). Preventative efforts should target at-risk families to reduce the chance of intergenerational CSA.

A TOD index integrating development potential, economic vibrancy, and socio-economic factors for encouraging polycentric cities

There has been a significant amount of research on the methods that city planners can use to identify and pursue opportunities for Transit-Oriented Development (TOD). This research has been primarily centred on population density, walkability, land-use diversity, and available parking around potential transit nodes, all of which are often aggregated into a single TOD Index. However, a major attribute omitted in these index calculations is development potential. To efficiently assess the benefits of TOD for a given area, city planners must focus on whether there are development opportunities around transit nodes that could encourage polycentric development. We propose a TOD Index that focuses on integrating socio-environmental characteristics, economic vibrancy, and development potential for TOD projects around transit systems. The index comprises three layers, that, in tandem, will enable the potential maximization of transit use: (1) socio-environmental characteristics, (2) economic vibrancy, and (3) development potential. We use the city of Montreal to demonstrate how the new index works and how it can be adapted to other cities.

Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling

The lack of georeferencing in geospatial datasets hinders the accomplishment of scientific studies that rely on accurate data. This is particularly concerning in the field of health sciences, where georeferenced data could lead to scientific results of great relevance to society. The Brazilian health systems, especially those for Notifiable Diseases, in practice do not register georeferenced data; instead, the records indicate merely the municipality in which the event occurred. Typically in data-driven modeling, accurate disease prediction models based on occurrence requires socioenvironmental characteristics of the exact location of each event, which is often unavailable. To enrich the expressiveness of data-driven models when the municipality of the event is the best available information, we produced datasets with statistical characterization of all 5,570 Brazilian municipalities in 642 layers of thematic data that represent the natural and artificial characteristics of the municipalities’ landscapes over time. This resulted in a collection of datasets comprising a total of 11,556 descriptive statistics attributes for each municipality.

Parent Readiness for Their Preterm Infant's Neonatal Intensive Care Unit Discharge.

This study aims to examine the influence of hospital experience factors on parental discharge readiness, accounting for key background characteristics. Parents/guardians of infants 33 weeks of gestation or less at birth receiving neonatal intensive care at 6 sites were enrolled from April 2017 to August 2018. Participants completed surveys at enrollment, 3 weeks later, and at discharge. Multiple regression analysis assessed relationships between parental experience, well-being, and perceived readiness for infant discharge, adjusting for socioenvironmental, infant clinical, and parent demographic characteristics. Most (77%) of the 139 parents reported high levels of readiness for their infant's discharge and 92% reported high self-efficacy at discharge. The multiple regression model accounted for 40% of the variance in discharge readiness. Perceptions of family-centered care accounted for 12% of the variance; measures of parent well-being, anxiety, and parenting self-efficacy accounted for an additional 16% of the variance; parent characteristics accounted for an additional 9%; and infant characteristics accounted for less than 3% of the variance. Parental perceptions of the family-centeredness of the hospital experience, anxiety, and parenting self-efficacy accounted for a substantial proportion of the variance in readiness for discharge scores among parents of preterm infant. These influential perceptions are potentially modifiable by nursing-led interventions.

Shifting landscape suitability for cocaine trafficking through Central America in response to counterdrug interdiction

Cocaine traffickers, or ‘narco-traffickers’, successfully exploit the heterogeneous landscapes of Central America for transnational smuggling. Narco-traffickers successfully adapt to disruptions from counterdrug interdiction efforts by spatially adjusting smuggling routes to evade detection, and by doing so bring collateral damages, such as deforestation, corruption, and violence, to new areas. This study is novel for its integration of landscape suitability analysis with criminological theory to understand the locations of these spatial adaptations by narco-traffickers as intentional, logical, and predictable choices based on the socio-environmental characteristics of Central America’s landscapes. Multi-level, mixed effects negative binomial regression models predict the suitability of landscapes for cocaine trafficking across 17 departamentos (the unit of analysis) in Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama from 2007 to 2018. Informed by long-term research in the region, independent variables included proximity to roads, country borders, and international ports, indigenous territories, population density, and protected areas. The year of peak interdiction (measured by kg of cocaine seized) in each departamento was used to analyze spatial shifts in landscape suitability before and after maximum counterdrug interdiction pressure. We find that areas with lower population density and closer proximity to international borders became more suitable following peak interdiction—i.e, they are more likely to be sought out by traffickers seeking to avoid further disruptions from counternarcotic efforts. Additionally, indigenous territories were disproportionately exploited as cocaine trafficking routes following significant interdiction activities by law enforcement. While interdiction may reduce the suitability of targeted locations, it can also unintentionally increase the attractiveness of other locations. Our study pushes criminological theory through its application to a unique space/time context, and it advances land system science by considering landscape suitability for logistical rather than productive uses. Policy implications are clear. Since interdiction resources are limited relative to the overall amount of trafficking activity, knowing which landscape features are viewed as suitable by traffickers can in the short-term guide interdiction deployment strategies, and in the longer term build strategies to mitigate associated harms from trafficking where they are most likely.

Ethnobotanical and ethnopharmacological study of medicinal plants used by a traditional community in Brazil's northeastern.

The aim of this research is to make a survey of the socio-environmental characteristics and the ethnobotanical study of medicinal plants used in a traditional community in the Brazilian Northeast, Alagoas. The study was made based on visits with the application of a questionnaire with questions related to the socio-economic element and on the diversity of plants used in herbal medicine. The research was made from March/2019 to February/2020, where families and interviewed plant exhibitors were interviewed for botanical identification. The studied community, which were 24 interviewees, was compiled by residents of the Quilombola community from Pau D'arco in Arapiraca city - Alagoas. Residents interviewed, 15 (62.5%) attended between 56 to 80 years, 11 interviewees about 46% were born in the community and 13 (54%) had a fundamentally incomplete nature. At the end, there were mentioned 30 plant species used for phytotherapeutic purposes, from which presents bigger usage as plants against arterial hypertension (Salvia rosmarinus Schleid), diabetes Mellitos (Croton heliotropiifolius Kunth), pain and inflammation (Alternanthera tenella Colla), present the biggest number of species in the community. The species cited are related to numerous medicinal uses, among which there will be predominant associations associated with cardiovascular and inflammatory processes. The tea is the main way of preparing plants. It is perceived that medicinal plants are only widely used by this Quilombola community of and growth of the crops in the backyard are considered a tradition.