Fatores de risco para doenças crônicas não transmissíveis em quilombolas do norte de Minas Gerais

Oliveira, Stéphany Ketllin Mendes; Caldeira, Antônio Prates

doi:10.1590/1414-462x201600040093

Cited by 39 publications

(28 citation statements)

References 25 publications

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“…Considering the social and economic contexts, especially in the urban/rural Brazilian scenario, access to education and health services in the rural area affects people in all age groups ( 9 ). In the traditionally vulnerable groups like the quilombola communities, the health conditions are poor ( 10 ), especially concerning bad eating habits and overweight ( 11 ). Quilombola communities are distributed throughout Brazil, and most of them are located in rural areas of the Northeast ( 12 ).…”

Section: Introductionmentioning

confidence: 99%

Overweight in Rural Quilombola and Non-quilombola Adolescents From the Northeast of Brazil

et al. 2021

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Introduction: Overweight is an emerging problem among children and adolescents that leads to the development of several morbidities and health risks. Overweight occurs differently in different populations, especially in vulnerable groups like the rural and quilombola communities (an African-descendant population). This study aimed to estimate the prevalence of overweight and to investigate the possible associated factors in rural adolescents living in both quilombola and non-quilombola communities in Northeast Brazil.Methods: This study is a population-based cross-sectional study with a household approach carried out in 2015 with 390 adolescents (age 10–19 years) living in rural quilombola and non-quilombola communities. The nutritional status was gauged using z-scores calculated for body mass index (BMI) and varies with gender and age. Prevalence ratios (PRs) and 95% confidence intervals (95% CIs) were used to establish associations between the results and explained variables. The multivariate analysis followed a model with a hierarchical entry of covariables controlled by gender and age.Results: The study showed that 18.5% of rural adolescents were overweight, of which 17.9% were quilombolas and 19.0% were non-quilombolas. A significant difference in overweight between the samples was not found. In the multivariate-adjusted model, age ≥16 years (PR: 0.51; 95% CI: 0.28–0.95), the habit of having regular breakfast (PR: 0.58; 95% CI: 0.35–0.98), and process of attending school (PR: 0.35; 95% CI: 0.17–0.71) were associated with a lower prevalence of overweight. Stationary screen time, in contrast, was associated with a higher prevalence (PR: 1.61; 95% CI: 1.05–2.46). The process of attending school was associated with a lower prevalence of overweight (PR: 0.26; 95% CI: 0.09–0.69), even for the quilombolas.Conclusions: A low prevalence of overweight was identified in rural adolescents. Overweight was significantly associated with the habit of having regular breakfast, older age, stationary screen time, and the process of attending school. The results reveal that school is a potential space for health promotion interventions, specifically in the most vulnerable rural regions, such as the quilombola communities. Besides, the study emphasizes the importance of adopting a healthy lifestyle early in life, including cultivating the habit of having regular breakfast and reducing stationary screen time.

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Section: Introductionmentioning

confidence: 99%

Overweight in Rural Quilombola and Non-quilombola Adolescents From the Northeast of Brazil

et al. 2021

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“…A study with surviving quilombo (settlements originally formed by escaped slaves) communities in the north of Minas Gerais state identified that 63% did less PA than is recommended for ensuring health benefits. 17 A study with quilombolas (maroons) in a municipality in the southeast of Bahia state indicated that they are more active when at work than in their free (or leisure) time, scoring 42.1% and 13.1%, respectively. 18 Mussi et al 19 also identified a low amount of PA in the free time of a Bahian quilombola community living on the banks of the São Francisco river.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the recognized benefits for health of practicing PA, 5,6 research with quilombolas has indicated low PA levels. [17][18][19] However, considering local, 19 municipal 18 and regional 17 samples, availability of information on its negative impacts on the health of the quilombola population is still limited. As such, this study seeks to analyze sociodemographic variables associated with insufficient PAL among Bahian quilombolas.…”

Section: Introductionmentioning

confidence: 99%

Determinantes sociodemográficos associados ao nível de atividade física de quilombolas baianos, inquérito de 2016*

Rodrigues¹,

Mussi²,

Almeida³

et al. 2020

Epidemiologia e Serviços de Saúde

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Objective: to analyze sociodemographic variables associated with insufficient physical activity level in Bahian quilombolas. Methods: this was a cross-sectional study with data on sociodemographic characteristics and level of physical activity using a standardized form, administered through interviews with a representative sample of adults living in quilombos in the geographical region of Bahia; crude and adjusted logistic regression was used. Results: 850 participants were included whose average age was 45.0+17.0 years; 61.2% were female; prevalence of physical inactivity was 21.9% (95%CI 19.1; 24.7); insufficient physical activity level among adult quilombolas was higher among the elderly (OR 2.12; 95%CI 1.29; 3.49) and individuals who did not work (OR 1.47; 95%CI 1.01; 2, 14). Conclusion: being elderly and not working is associated with insufficient physical activity in quilombolas.

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“…Limited access to health care in populations located outside of large centers, such as rural populations, quilombolas 2 , riverside, and sertanejos, has been one associated with the high prevalence of health problems in these populations 3,4 . Lack of basic sanitation, geographic distance, and low socioeconomic status do not favor the availability of healthcare human resources; thus, the health monitoring network is fragile at various levels of health care.…”

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confidence: 99%

“…Erika da Silva Maciel (https://orcid.org/0000-0002-9836-7665) 1 Fernando Rodrigues Peixoto Quaresma (https://orcid.org/0000-0001-8407-0310) 2 Francisco Winter dos Santos Figueiredo (https://orcid.org/0000-0002-9377-6443) 3 Jonathan Souza Sarraf (https://orcid.org/0000-0001-9477-3618) 4 Taynah Putty Luis (https://orcid.org/0000-0002-0380-5731) 4 Luis Fernando Castagnino Sesti (https://orcid.org/0000-0002-4322-9353) 5 Fernando Luiz Affonso Fonseca (http://orcid.org/0000-0003-1223-1589) 6 Fernando Adami (https://orcid.org/0000-0003-1918-3364) 3…”

mentioning

confidence: 99%

The sensitivity, specificity, and agreement of a point of care method: an assessment of the diagnostic accuracy

Maciel

Quaresma

Figueiredo

et al. 2019

Ciênc. saúde coletiva

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The use of new technologies can improve screening in communities with difficult access to health. This article aims to evaluate the sensitivity, specificity, and agreement of a point of care test in comparison to laboratory methods for the determination of glucose (GLI), triglyceride (TG), and total cholesterol (TC) concentrations. This prospective study used data from the remaining adult population of quilombolas in Brazil. Laboratory tests using conventional methods for the analysis of venipuncture samples were used as a standard method to measure the concentrations of GLI (mg/dL), TG (mg/dL), and TC (mg/dL) and compared to the metered dose from the collection of fingertip capillary blood (point of care). Contingency tables (2x2) were used to estimate the sensitivity and specificity of the methods. Lin and Bland & Altman coefficients were used to statistically assess agreement, the level of significance was 5%. There was substantial agreement between the methods for measuring TG and poor agreement for of TC and GLI. Analysis of the Bland & Altman coefficients revealed that the fingertip method did not produce good measures. The point of care method did not offer a good ability to measure compared to that of the reference laboratory method.

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Fatores de risco para doenças crônicas não transmissíveis em quilombolas do norte de Minas Gerais

Cited by 39 publications

References 25 publications

Overweight in Rural Quilombola and Non-quilombola Adolescents From the Northeast of Brazil

Overweight in Rural Quilombola and Non-quilombola Adolescents From the Northeast of Brazil

Determinantes sociodemográficos associados ao nível de atividade física de quilombolas baianos, inquérito de 2016*

The sensitivity, specificity, and agreement of a point of care method: an assessment of the diagnostic accuracy

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