Quantitative Study Research Articles

A Mixed Methods Study of Ethnic Identity and Mental Health Recovery Processes in Minoritized Young Adults.

Ethnic identity development is associated with positive mental health in young adults from ethnic minority groups. How a sense of belonging and attachment to one's ethnic culture is related to personal mental health recovery remains unexplained. This study examines the experiences of ethnic minority young adults in the U.S. to understand the aspects of culture and identity development that are relevant to their recovery processes. Young adults who were living with chronic mental disorders were recruited from four rehabilitation programs. Interviews produced quantitative and qualitative data. An explanatory sequential mixed methods design was used to integrate the qualitative findings from a sub-group of young adults (n = 44) with the results from the quantitative study. Directed content analysis was used to analyze the qualitative data, and the integrated data were analyzed in joint displays. The prominent themes characterizing ethnic identity development in personal recovery were (a) cultural history, traditions, and values; (b) mental illness stigma within the ethnic community; and (c) bias and discrimination in mental health services. Young adults with high ethnic identity development reported having more support from family, but they also described experiences with stigma and racism. The integrated results suggest that ethnic identity development promotes mental health recovery in minoritized young adults through social support and improved well-being and resilience. Experiences of intersectional stigma and structural racism associated with ethnic identity can interfere with self-determination and access to care among minoritized Hispanic/Latine, Black, and multiracial young adults in the U.S.

Motivation, attitude, knowledge, and engagement towards the development of sustainability competencies among students of higher education: a predictive study

This quantitative research predictive study evaluates the roles of four variables in developing student sustainability competencies through a curricular intervention. We used the MAKE framework, i.e., (1) motivation, (2) attitude, (3) knowledge, and (4) engagement, to promote the sustainability competencies among students enrolled in four undergraduate courses during the semester of February to June 2022. We surveyed the students to determine the role of the MAKE framework variables in developing sustainability competencies. One hundred four students answered an online Google survey, which gathered the data we subsequently analyzed using IBM SPSS version 26 software. Linear regression statistical results confirmed that the four variables of MAKE have a significant correlation where motivation was highly associated with developing sustainability competencies of students. These findings can guide professors and university policymakers in implementing the MAKE framework to promote sustainable development education.

Diagnostic process of cancer in a health system without gatekeeping: a single centre survey analysis.

It is essential to increase the rates of early diagnosis in cancer control, and the diagnostic process needs to be improved to achieve this goal. Previous studies showed that in countries where there is a gatekeeping system, there might be a delay in cancer diagnosis. Our aim is to examine the process of cancer diagnosis in a healthcare system without gatekeeping. A quantitative descriptive study has been conducted in various outpatient clinics of Pendik Training and Research Hospital, between 1 February and 31 May 2019, with individuals aged over 18 and diagnosed with cancer in the last six months. The data was collected through a questionnaire filled in by face-to-face interview method. Patient's socio-economic characteristics, their symptoms at the time of the diagnosis and the diagnosis process were questioned. The median diagnostic interval was 30 days (min-max 1-365), and the median patient interval was 60 (1-600) days. Patients pointed out that the diagnostic tests, especially the pathology reporting process, caused the diagnostic interval to be prolonged. Of the patients, 84% (n 135) stated that they did not consider their symptoms as a sign of serious illness. The patient interval was shortest with symptoms of haematuria and haematochezia and longest with dysuria and change in bladder habit. The study examined the diagnosis process in our health system, where patients can apply for health services at any stage. The results showed that there were no superior outcomes to those observed in primary care-led health systems. Patients reported that waiting times for medical tests led to prolongation of the diagnosis time. Cancer awareness of patients should also be increased to shorten patient admission times.

Academic Traces of Urban Furniture: A Bibliometric Perspective

Urban furniture, which increases the quality and aesthetics of urban life, has recently been the subject of academic studies. However, a bibliometric and visual analysis in this field has not been conducted in sufficient number. This paper presents a quantitative and descriptive study of 1,063 documents from the Web of Science database (1975-2022) using RStudio's 'Bibliometrix' package. Key bibliometric indicators include 887 documents, 619 references, 582 articles, 12.25 citations per document, 2,558 authors, 1,386 keywords, keywords of 2,968 authors, and a collaboration index of 16.8%. The study found higher scientific productivity in China and the USA. Research status, influential sources, countries, institutions, authors, keywords and data relationships were analysed. In particular, it was observed that academic interest increased after 2000 and focused on technology, environment and urban disciplines rather than architecture. The keywords (Author's Keywords and Keywords plus) vary, with a focus on the urban field of study and the health and environment field of study, but both keywords are increasing. The paper recommends increased interdisciplinary co-operation to broaden the scope of urban furniture research. This is one of the first comprehensive bibliometric and content analyses on urban furniture.

Exploring the Moderating Effect of Musculoskeletal Pain on Technostress-Induced Burnout: A Cross-Sectional Study of Bank Employees.

Information and Communications Technology (ICT) advancements and high customer expectations are boosting the use of digital transformation and tech tools in business processes in a competitive environment. This trend enhances business effectiveness and efficiency but also introduces technostress as a new workplace stress factor. Technostress, defined as stress induced by using ICT in the workplace, has become increasingly prevalent in modern work environments, especially in sectors such as banking, due to digital transformation. As technology use intensifies, it raises concerns about potential adverse psychological and physiological effects on employees, particularly in relation to burnout. From a physiological perspective, musculoskeletal disorders (MSDs) are quite common among employees who use ICT for extended periods. MSDs can play a significant moderating role in the relationship between technostress and burnout. In this context, this study aimed to examine the moderating role of MSDs in the effect of technostress on burnout. This quantitative study surveyed a convenience sample of 220 bank employees, drawing on COR theory, the JD-R model, the P-E fit approach, and transactional stress theory. Data were analyzed using Structural Equation Modeling with SmartPLS 4.0 software, enabling examination of relationships between variables derived from these frameworks. The results reveal that technostress increases bank employees' burnout experience. Additionally, bank employees with MSDs experience higher burnout levels than those without MSDs. The study's findings provide valuable insights into managing workplace stress, addressing mental health problems, and promoting employee well-being in the digital age. These results have potential implications for academic understanding and practical applications in sustainable management.

Enhancing student critical thinking and learning outcomes through innovative pedagogical approaches in higher education: the mediating role of inclusive leadership

This quantitative study examines the influence of innovative pedagogical approaches (IPA) on enhancing student critical thinking (SCT) and student learning outcomes (SLO) in higher education, with an emphasis on the mediating role of inclusive leadership(IL). Using a sample of 321 students from public and private universities in Pakistan, the research reveals that methods such as problem-based learning, flipped classrooms, and interactive teaching significantly boost academic performance and cultivate critical thinking skills. The findings indicate that innovative pedagogical approaches positively and significantly impact student critical thinking (β = 0.536, t = 6.539, p < 0.001) and learning outcomes (β = 0.551, t = 12.725, p < 0.001). Additionally, inclusive leadership mediates the relationship between innovative teaching methods and both student critical thinking (β = 0.331, t = 3.833, p < 0.001) and learning outcomes (β = 0.405, t = 8.662, p < 0.001). Data were collected using survey questionnaires adapted from established studies on inclusive leadership, innovative pedagogical approaches, student critical thinking, and learning outcomes. These results highlight the essential role of inclusive leadership in enhancing the efficacy of innovative pedagogies by creating a supportive and diverse learning environment. The study suggests that implementing active learning strategies and integrating technology in the classroom, along with inclusive leadership practices, can significantly improve student engagement, critical thinking, and overall academic performance. This research offers valuable insights for educators and policymakers seeking to enhance teaching and learning experiences in higher education.

A Study of the Impact of Data Assets on the Investment Efficiency of Firms

With the advent of the digital economy era, data assets play a pivotal role for enterprises. Therefore, this paper selects the data of Chinese A-share listed companies from 2013-2022 to conduct a quantitative study on data assets and explore the impact of enterprises' data assets on their investment efficiency. It is found that data assets significantly contribute to firms' inefficient investment. This finding still holds after the robustness test. Heterogeneity analysis reveals that data assets can promote overinvestment in non-state-owned firms; they contribute more to inefficient investment in growing and declining firms. The mechanism test suggests that data assets promote firms inefficient investment due to promoting firms financing constraints and real earnings management. Therefore, the findings of this paper provide certain clues and suggestions for enterprises to dialectically view data assets to maximize their effectiveness and avoid data bubbles.

Determinants of self-management behavior in gout: a scoping review.

This study aimed to identify modifiable determinants of self-management behavior in gout. Four databases (MEDLINE, Embase, PsycINFO and CINAHL) were searched using terms related to gout, self-management and determinants of behavior as described in the Theoretical Domains Framework (TDF). Two reviewers independently selected relevant studies via screening of title/abstract and full text. Thematic synthesis was performed for qualitative data; quantitative data was summarized using cross-tabulation displaying the investigated associations of determinants with self-management behavior. The TDF facilitated identification and grouping of determinants. From 2087 unique articles found, 56 studies were included in this review, of which 27 qualitative and 29 quantitative studies. Eight themes were identified: knowledge and skills for self-management, acceptance of disease, beliefs about necessity of self-management to improve gout-related health, resistance and reluctance for medication adherence and dietary alteration/changes, negative emotions influencing self-management, social support and interactions, environmental context, and self-regulation of behavior. Quantitative determinants associated with self-management behavior, predominantly medication adherence, were mapped to 12 of the 14 domains of the TDF. No determinants regarding skills and goals have been identified in quantitative research. Intervention targets for self-management behavior in gout mainly included determinants related to knowledge, implicit and explicit beliefs and attitudes, the environmental context and resources, (social) support and reinforcement.

Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study.

Named entity recognition (NER) models are essential for extracting structured information from unstructured medical texts by identifying entities such as diseases, treatments, and conditions, enhancing clinical decision-making and research. Innovations in machine learning, particularly those involving Bidirectional Encoder Representations From Transformers (BERT)-based deep learning and large language models, have significantly advanced NER capabilities. However, their performance varies across medical datasets due to the complexity and diversity of medical terminology. Previous studies have often focused on overall performance, neglecting specific challenges in medical contexts and the impact of macrofactors like lexical composition on prediction accuracy. These gaps hinder the development of optimized NER models for medical applications. This study aims to meticulously evaluate the performance of various NER models in the context of medical text analysis, focusing on how complex medical terminology affects entity recognition accuracy. Additionally, we explored the influence of macrofactors on model performance, seeking to provide insights for refining NER models and enhancing their reliability for medical applications. This study comprehensively evaluated 7 NER models-hidden Markov models, conditional random fields, BERT for Biomedical Text Mining, Big Transformer Models for Efficient Long-Sequence Attention, Decoding-enhanced BERT with Disentangled Attention, Robustly Optimized BERT Pretraining Approach, and Gemma-across 3 medical datasets: Revised Joint Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA), BioCreative V CDR, and Anatomical Entity Mention (AnatEM). The evaluation focused on prediction accuracy, resource use (eg, central processing unit and graphics processing unit use), and the impact of fine-tuning hyperparameters. The macrofactors affecting model performance were also screened using the multilevel factor elimination algorithm. The fine-tuned BERT for Biomedical Text Mining, with balanced resource use, generally achieved the highest prediction accuracy across the Revised JNLPBA and AnatEM datasets, with microaverage (AVG_MICRO) scores of 0.932 and 0.8494, respectively, highlighting its superior proficiency in identifying medical entities. Gemma, fine-tuned using the low-rank adaptation technique, achieved the highest accuracy on the BioCreative V CDR dataset with an AVG_MICRO score of 0.9962 but exhibited variability across the other datasets (AVG_MICRO scores of 0.9088 on the Revised JNLPBA and 0.8029 on AnatEM), indicating a need for further optimization. In addition, our analysis revealed that 2 macrofactors, entity phrase length and the number of entity words in each entity phrase, significantly influenced model performance. This study highlights the essential role of NER models in medical informatics, emphasizing the imperative for model optimization via precise data targeting and fine-tuning. The insights from this study will notably improve clinical decision-making and facilitate the creation of more sophisticated and effective medical NER models.

Analytical control of residues of the herbicide trifluralin in the assessment of the food safety

Introduction. Trifluralin is a systemic herbicide of the chemical class of dinitroaniline derivatives. During monitoring studies, trifluralin was detected in carrots produced in the Russian Federation. Since trifluralin-based pesticides are not approved for the use in the Russian Federation, residual amounts of the substance are not typical for this crop. To check the contamination of carrots with a pesticide not typical for this crop, confirmatory qualitative and quantitative studies were carried out. Purpose of the work. Increasing the efficiency of identification and reliability of quantitative results when monitoring food products for safety when performing confirmatory analytical studies using the example of determining trifluralin in carrots to assess the safety of food products intended for the consumer. Materials and methods. Gas chromatography coupled with tandem mass spectrometry (GC-MS/MS) was used to identify and quantify trifluralin. Samples were prepared for analysis using the QuEChERS method. Identification was carried out by multiple reaction monitoring (MRM) using a triple quadrupole mass spectrometer using two to four MRM transitions (m/z): 306,1→264,0; 264,0→206,0; 264,0→188,0; 264,0→160,1. Matrix-matched calibration was used for quantitation. Results. The effectiveness of screening studies when monitoring food products using the GC-MS/MS method can be significantly elevated by increasing the number of MRM transitions (at least 3), controlling the reference retention time of the substance, and maintaining the ratio of confirmatory ions. To obtain a reliable quantification of trifluralin content in carrots, the use of a matrix-matched calibration is recommended. Limitation. In the study, only carrots were considered as food products. Conclusion. Confirmation of test results is especially important when determining pesticide residues that are not normally found in a given matrix, or when it is suspected that the maximum permissible level may be exceeded. When conducting a screening study and detecting a food contaminant, contamination of the product can only be reported in advance. Next, a confirmatory analysis is required using a validated quantitative method, including an appropriate calibration procedure. In quantitative analysis, the presence of matrix sample components can cause problems due to sample suppression/enhancement phenomena. Matrix-aware calibration has been shown to be effective in compensating for matrix effects.

Digital Transformation and Efficiency of Sharia-Based HR Management on MSME Performance with Organizational Culture Moderation: A Quantitative Study in Cileungsi

Digital transformation has become a crucial factor in enhancing the competitiveness of micro, small, and medium enterprises (MSMEs) in the era of globalization. Digital technology enables MSMEs to innovate, improve efficiency, and expand markets. However, many MSMEs face challenges in adopting this technology, such as limited resources and resistance to change. Sharia-based human resource management (HRM), which emphasizes justice and welfare, can provide solutions in creating a productive and harmonious work environment. This study aims to fill the gap in the literature regarding the interaction between digital transformation and Sharia HRM on MSME performance, with the moderation of organizational culture. The research method uses a quantitative approach with a case study on MSMEs in Cileungsi, involving 100 randomly selected respondents. Data were collected through questionnaires and analyzed using SEM-PLS. The SEM test results show that digital transformation and Sharia HRM have a significant effect on MSME performance. Organizational culture has a strong moderating role, strengthening the positive impact of digital transformation and Sharia HRM on MSME performance. The results indicate that the integration between digital transformation and Sharia HRM, supported by a strong organizational culture, can enhance productivity, operational efficiency, as well as employee satisfaction and motivation. This study emphasizes the importance of adopting digital technology and applying Sharia principles in HRM to improve MSME performance, with organizational culture as an essential supporting factor. These findings provide practical guidance for MSME actors in developing strategies that improve efficiency and employee welfare.

How anti-brand activism generate from negative online word of mouth on customer-run communities: the moderating role of physical discomfort

The rising power of social media is undeniable in brands' health and consumers' confidence. This study explores the influence of negative online word of mouth on brand hate and anti-brand activism behavior. Additionally, psychological discomfort is treated as a moderator to examine the influence on the relationships mentioned above. A quantitative study is adopted. Using data collected from 300 respondents, this paper reveals the following results. First, negative online word-of-mouth on consumer-run social platforms does influence brand hate, which turns to anti-brand activism behavior as a consequence. Interestingly, psychological discomfort moderates the relationship between brand hate and brand anti-brand activism, which is unclear in the prior studies. Examining these relationships enriches the current brand's literature and highlights the significant impacts of negative online word of mouth, especially on consumer-run platforms. Branders need to fasten their response speed towards negative information in order to prevent spillover. They should avoid silent responses to any crisis since consumers might be in discomfort states which enrich the anti-brand actions.

Stigma, caregiver burden, and expressed emotions: the moderating role of self-compassion in caregivers of substance use disorder

Objective: To investigate the moderating effect of self-compassion on the relationship involving stigma, caregiver burden and expressed emotions among caregivers of males diagnosed with substance use disorder. Method: The correlational, quantitative study was conducted from June 1 to September 30, 2021, at the Department of Psychology, University of Central Punjab, Lahore, Pakistan, and comprised caregivers aged 40-55 years living with individuals with substance use disorder and actively performing caregiving duties for at least six months. Data was collected using validated tools. Data was analysed using SPSS 21. Results: Out of the 300 subjects, 54(18%) were males and 246(82%) were females, with overall mean age 45+/-7.73 years. The caregiving duration ranged from 6 months to 20 years. Self-compassion significantly moderated stigma, caregiver burden and expressed emotions (p=0.001). The interaction effects of self-compassion with stigma, affect, behaviour, cognition and caregiver burden collectively explained 88% of the variance in expressed emotion. Self-compassion accounted for a significant change in expressed emotion (p&lt;0.05). Conclusion: Internalised stigma and caregiver burden predicted expressed emotions in caregivers of males with substance use disorder. Key Words: Substance use disorder, Caregiver burden, Self-compassion, expressed emotion.

Competence, Motivation And Facilities And Infrastructure As Determining Factors In Dpmptsp Employee Performance

This study aims to analyze and prove the influence of competence, motivation, facilities and infrastructure on employee performance to support the success of socialization at the Investment and One-Stop Integrated Service Office (DPMPTSP) in Ogan Komering Ilir Regency. This study is a quantitative study, the population in this study were 115 DPMPTSP employees and the sampling method was saturated sampling. The results of this study indicate that partially competence has a negative and significant effect on employee performance, while motivation, facilities and infrastructure have a significant positive effect on performance. Simultaneously, the variables of competence, motivation, facilities and infrastructure have a positive and significant effect on the performance of DMPTSP employees.

Exploring financial reverse remittances. A quantitative study in the Italian context

ABSTRACT While many studies examine the remittances sent by migrants to their home countries, little is known about the financial resources that flow from home countries to migrants abroad, also known as reverse remittances. Following an in-depth analysis of the limited existing literature, our study focuses on the practice of financial reverse remittances among migrants living in the Italian region of Lombardy to assess their incidence, their relationship with the migrants’ migration stage, and the occurrence of economic hardship. We build on a quantitative survey of 4,000 migrants carried out in 2014. Our research shows that overseas students, long-term migrants living with a partner, and, in general, migrants facing economic hardship and job insecurity are more likely to receive financial reverse remittances. The implications of our findings in light of the 2007–2008 global financial crisis in Italy are also discussed.

Demographic influences on students’ self-efficacy for LGBTQ+ inclusion: a quantitative study in higher education in Sri Lanka

ABSTRACT The increasing demand for LGBTQ+ inclusive education has made it a significant area of contemporary higher education research. Understanding self-efficacy and its complexities is pivotal for effectively planning and executing LGBTQ+ inclusion initiatives in higher education settings. This study aims to assess the level of self-efficacy among students within a selected faculty of a state university in Sri Lanka regarding fostering LGBTQ+ inclusion. Additionally, this research explores whether demographic factors significantly influence undergraduates’ self-efficacy in promoting LGBTQ+ inclusion. Inspired by the positivist paradigm, the study employed a survey strategy to gather quantitative data on students’ self-efficacy to foster LGBTQ+ inclusion across various demographic factors. Conducted at the faculty level, researchers administered a structured questionnaire to collect responses from 324 participants. The findings revealed a moderate level of self-efficacy among undergraduates in interacting with LGBTQ+ peers. Moreover, students’ gender, sexual orientation, English language proficiency, and educational upbringing significantly impacted students’ self-efficacy in promoting LGBTQ+ inclusion. Conversely, ethnicity and religion showed no significant influence on self-efficacy in this context. These results underscore the critical role that universities can play in fostering inclusivity and support for LGBTQ+ individuals in Sri Lanka. The results suggest that universities can enhance the self-efficacy of undergraduates through the implementation of targeted interventions, supportive policies, and comprehensive training programs. Accordingly, this research promotes LGBTQ+ inclusion and contributes to the development of a more inclusive and equitable educational environment for everyone.

LEVANTAMENTO DE PERFIL EPIDEMIOLÓGICO DA DENGUE EM ARAGUAÍNA NO ESTADO DO TOCANTINS

Analyzing the epidemiology of dengue in Brazil, focusing on the city of Araguaína in Tocantins, exploring the characteristics of the different virus serotypes, their clinical implications, and the importance of early diagnosis. A quantitative study was conducted with a time series analysis covering the period from 2014 to 2023. Using data from the Notification Diseases Information System (Sinan), the research correlated the number of dengue cases in Araguaína with variables such as sex, age, and months of the year. The objective was to ensure the accuracy of the results, avoiding distortions in interpretation. The research aims to provide information on the seasonality of the infection and identify more vulnerable groups, contributing to preventive actions. The analyzed data from SINAN indicate a significant increase in the incidence of dengue in Araguaína TO, especially during the months of higher rainfall, when conditions for the proliferation of Aedes aegypti are ideal. The research confirmed that the lack of adherence by the population to prophylactic measures contributes to this increase, reflecting the need to intensify awareness campaigns. It was also observed that the majority of reported cases are among women, suggesting a greater tendency to seek care in health units. Early identification of symptoms is crucial for effective treatment, helping to reduce mortality. Thus, the importance of continuous and appropriate preventive actions for dengue control is reinforced.

Gender-based Violence amongst Black Visually Impaired Women in Intimate Relationships: A Literature Review

While activists, policymakers, and gender theorists have developed strategies to address gender-based violence (GBV) or intimate partner violence (IPV) for women and Black women in general, they have not attempted to unpack and strategise interventions for Black women with visual impairment (BWVI) facing GBV in intimate relationships. This literature review sought to explore the reported experiences of GBV amongst BWVI in intimate relationships within Southern Africa, as well as which intervention strategies need to be developed based on their needs. A desktop review of available qualitative and quantitative studies from 2000–2023 was conducted to search for publications to answer the following questions: What are the reported experiences of GBV amongst BWVI in intimate relationships? What interventions need to be developed based on their needs? Intersectionality theory underpinned this study. Literature suggests that BWVI report compounded forms of GBV compared to women without disabilities, given their race, gender, and disability status. However, their experiences of GBV were further complicated by a lack of external support and their dependence on perpetrators, making it harder for them to escape from their abusers. As such, it is suggested that the lack of preventative interventions for BWVI from GBV increases their vulnerability to other forms of abuse. Comprehensive interventions based on an intersectional framework are recommended to develop early risk-reduction and empowering strategies to alleviate GBV amongst BWVI within intimate relationships.

Color-map recommendation for MR relaxometry maps.

To harmonize the use of color for MR relaxometry maps and therefore recommend the use of specific color-maps for representing , , and maps and their inverses. Perceptually linearized color-maps were chosen to have similar color settings as those proposed by Griswold et al. in 2018. A Delphi process, polling the opinion of a panel of 81 experts, was used to generate consensus on the suitability of these maps. Consensus was reached on the suitability of the logarithm-processed Lipari color-map for and the logarithm-processed Navia color-map for and . There was consensus on color bars being mandatory and on the use of a specific value indicating "invalidity." There was no consensus on whether the ranges should be fixed per anatomy. The authors recommend the use of the logarithm-processed Lipari color-map for displaying quantitative maps and maps; likewise, the authors recommend the logarithm-processed Navia color-map for displaying , , , and maps. This work originated with the Quantitative MR Study Group of the International Society of Magnetic Resonance in Medicine (ISMRM); it has the approval of the Publication Committee and of the Board of the ISMRM.

Environmental Impact of Waste Produced in Street Markets: A Study on Challenges and Opportunities in Serra Da Ibiapaba, Ceará

Objective: The objective of the article is to analyze the environmental impact of vegetable waste produced in street markets in the Serra da Ibiapaba region, Ceará, Brazil, and propose solutions to the identified impacts in order to achieve the Sustainable Development Goals. Method: This is a qualitative and quantitative research study that uses field data collection, the Leopold matrix for environmental impact assessment, and descriptive analysis to evaluate the current state of waste management practices in the region. Results and Discussion: The results indicate that inadequate waste management practices lead to environmental pollution, including the presence of insects and leachate in urban areas. The study identifies common problems related to waste management and low environmental awareness among vendors and public authorities. Originality/Value: The Serra da Ibiapaba region is an important agricultural area in Brazil, and the inadequate disposal of vegetable waste in street markets poses relevant environmental challenges for society. This research is relevant because it addresses a gap in the literature regarding the environmental impacts of street market waste in a region that is significant both environmentally and economically, offering practical solutions aligned with the Sustainable Development Goals.