Distribuição espacial da obesidade em área urbana no Brasil

Matozinhos, Fernanda Penido; Velasquez-Melendez, Gustavo; Pessoa, Milene Cristine; Mendes, Larissa Loures; Gomes, Crizian Saar; Costa, Marcelo Azevedo

doi:10.1590/1413-81232015209.00442015

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…Previous studies have shown that less economically privileged areas have worse health conditions when compared to more privileged areas both between countries 5 and within the same country, revealing the unequal geographical distribution of diseases [17][18][19][20] .…”

Section: Discussionmentioning

confidence: 99%

Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

Gomes

Bernal

Moreira

et al. 2021

Rev. bras. epidemiol.

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Objective: To estimate the prevalences of hypertension and diabetes for small areas in Belo Horizonte, according to the Health Vulnerability Index (HVI). Methods: Ecological study with data from the Surveillance of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel) conducted in Belo Horizonte, from 2006 to 2013. The self-reported diagnosis of diabetes and hypertension were evaluated. The estimates of prevalence and the 95% confidence interval (95%CI) were calculated using the direct and indirect method by HVI grouped into four categories: low, medium, high and very high health risk. Results: During the period evaluated, 26% (95%CI 25.2 – 26.8) and 6.1% (95%CI 6.7 – 6.5) of the adult population from Belo Horizonte reported being hypertensive and diabetic, respectively. According to the indirect method to obtain estimates of hypertension and diabetes prevalences per HVI, it was found that areas of very high risk had a higher prevalence of adults with hypertension (38.6%; 95%CI 34.8 – 42.4) and diabetes (16.2%; 95%CI 13.1 – 19.3) when compared to the low risk (28.2%; 95%CI 27.0 – 29.4 and 6%; 95%CI 5.4 – 6.7, respectively). Conclusion: The adult population living in areas at high risk for health had a higher prevalence of hypertension and diabetes compared to those with a lower risk.

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Section: Discussionmentioning

confidence: 99%

Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

Gomes

Bernal

Moreira

et al. 2021

Rev. bras. epidemiol.

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“…Además, existe el hecho de que, en promedio, sobreviven con un ingreso familiar de 2.36 salarios mínimos, lo que justifica su insatisfacción. La obesidad es inversamente proporcional a la clase social y la población más pobre es la que más sufre debido a la obesidad y sus enfermedades (28) .…”

Section: Discussionunclassified

Qualidade de vida de pacientes submetidos à cirurgia bariátrica: estudo transversal

Silva¹,

Porto²,

Mendes³

et al. 2020

Enf Global

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Objetivo: Analizar los factores que influyeron en la calidad de vida (CV) de los pacientes después de la cirugía bariátrica. Métodos: Se llevó a cabo un estudio transversal en el que participaron 307 pacientes adultos con cirugía bariátrica entre 2012 y 2014. Se han obtenido los datos de los registros electrónicos de los pacientes y de sus entrevistas telefónicas. Después se construyó un modelo de regresión lineal simple, ajustado por variables sociodemográficas, con p <0.05. Para evaluar la CV, se utilizó la Calidad de Vida Breve de la Organización Mundial de la Salud (WHOQOL-bref). Resultados: Los dominios con las peores puntuaciones fueron el físico (media = 58,45; SD ± 10,42) y ambiental (media = 65,19; SD ± 11,36). Los mejores dominios fueron el social (media = 76.51; SD ± 15.71) y psicológico (media = 68.70; SD ± 15.71). En el modelo de regresión lineal, se observó que el tiempo desde la cirugía se asoció inversamente con el dominio de la salud física. Por cada mes posterior a la cirugía bariátrica, el puntaje promedio del paciente se redujo en 2.66 puntos, ajustado por sexo y edad. Conclusión: El tiempo transcurrido desde la cirugía puede ser un determinante importante de la puntuación del dominio físico de la calidad de vida. Identificar la calidad de vida después de la cirugía bariátrica y los factores influyentes es fundamental para preparar a estos pacientes para los cambios derivados de la pérdida de peso. Purpose: Analyze factors that influenced the quality of life (QoL) of patients after bariatric surgery. Methods: A cross-sectional study was carried out, involving 307 adult bariatric surgery patients between 2012 and 2014. Data was obtained from the electronic patient records and telephone interviews. To assess the QoL, the World Health Organization Quality of Life-Bref (WHOQOL-bref) was used. A simple linear regression model was constructed, adjusted by sociodemographic variables, with p<0.05. Results: The domains with the worst scores were the physical (mean=58.45; SD±10.42) and environmental (mean=65.19; SD±11.36). The best domains were the social (mean=76.51; SD±15.71) and psychological (mean=68.70; SD±15.71). In the linear regression model, it was observed that time since the surgery was inversely associated with the physical health domain. For each month post-bariatric surgery, the patient’s average score dropped by 2.66 points, adjusted by sex and age. Conclusions: Time since the surgery could be an important determinant of the physical domain score of quality of life. Identifying the quality of life after bariatric surgery and influential factors is fundamental to prepare these patients for the changes deriving from the weight loss.

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“…Geographical distribution has been used to study diseases in epidemiological analyses. [24][25][26][27] This tool becomes important in the study of genetic diseases when there is a possibility of intervention with genetic guidance, as in the case of increased incidence of healthy carriers of the gene that causes the condition. Therefore, knowing the regions of Sergipe with higher incidence of heterozygous individuals is useful to guide the planning of health care actions for patients with SCA, as well as informing the situation to asymptomatic carriers and counseling the families, which may change the incidence profile of SCD in this population.…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Newborns With Sickle Cell Trait in Sergipe, Brazil

Leite

Cipolotti

Gurgel

et al. 2020

Rev. paul. pediatr.

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who underwent neonatal screening in the public health system. Tests were carried out in basic health units and forwarded to the University Hospital laboratory, where they were analyzed. We used spatial autocorrelation (Moran's index) to assess the spatial distribution of heterozygous individuals with hemoglobinopathies.Results: Among 32,906 newborns, 1,202 showed other types of hemoglobin besides Hemoglobin A. We found a positive correlation between the percentage of black and multiracial people and the incidence of SCT. Most SCT cases occurred in the cities of Aracaju (n=273; 22.7%), Nossa Senhora do Socorro (n=102; 8.4%), São Cristóvão (n=58; 4.8%), Itabaiana (n=39; 4.2%), Lagarto (n=37; 4.01%), and Estância (n=46; 4.9%). Conclusions:The spatial distribution analysis identified regions in the state with a high frequency of HbS carriers. This information is important health care planning. This method can be applied to detect other places that need health units to guide and care for sickle cell disease patients and their families.

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Distribuição espacial da obesidade em área urbana no Brasil

Abstract: )* Mediana e Intervalo Interquartílico. Na análise comparativa das características dos indivíduos nos conglomerados de obesos e não obesos não foram verificadas diferenças significativas entre as variáveis analisadas (p > 0,05).

Cited by 10 publications

References 29 publications

Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

Estimates of hypertension and diabetes mellitus prevalence according to Health Vulnerability Index in Belo Horizonte, MG, Brazil

Qualidade de vida de pacientes submetidos à cirurgia bariátrica: estudo transversal

Spatial Distribution of Newborns With Sickle Cell Trait in Sergipe, Brazil

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