scholarly journals SP1-26 Neighbourhoods and central obesity in a Brazilian population-based study: a multilevel analysis

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A381-A381
Author(s):  
I. C. M. de Freitas ◽  
S. A. de Moraes
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Kátia Josiany Segheto ◽  
Leidjaira Lopes Juvanhol ◽  
Danielle Cristina Guimarães da Silva ◽  
Cristiane Junqueira de Carvalho ◽  
Fernanda Hansen ◽  
...  

2021 ◽  
Author(s):  
Wyllians Vendramini Borelli ◽  
Vanessa Bielefeldt Leotti ◽  
Matheus Zschornack Strelow ◽  
Márcia Lorena Fagundes Chaves ◽  
Raphael Machado Castilhos

2018 ◽  
Vol 240 ◽  
pp. 48-56 ◽  
Author(s):  
Nágila Soares Xavier Oenning ◽  
Patrícia Klarmann Ziegelmann ◽  
Bárbara Niegia Garcia de Goulart ◽  
Isabelle Niedhammer

2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i192-i192
Author(s):  
M. S. Felisbino-Mendes ◽  
A. D. Moreira ◽  
G. Velasquez-Melendez

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Carvalho Malta ◽  
P Cisalpino ◽  
R Teixeira ◽  
I Eloah Machado ◽  
F Malta dos Santos ◽  
...  

Abstract Background Cardiovascular diseases are the leading cause of morbidity and mortality, high health costs and significant economic losses. The Framingham score has been widely used to stratify the risk of the evaluated individuals, identifying those at higher risk for the implementation of prevention measures directed to this group. Objective Estimate the cardiovascular risk of developing cardiovascular event in 10 years, in the adult Brazilian population. Methods Cross-sectional study using laboratory data from da National Health Survey, 2014 and 2015, were used to calculate cardiovascular risk (CVR). Algorithms proposed by D`Agostino (2008) were used, based on the Framingham study, stratified by sex, was used. According to the guidelines of the Brazilian cardiology society, the following cutoff points for cardiovascular risk in 10 years were used: a) low CVR <5%, medium CVR (5 to < 20%) and high CVR (≥ 20%). The study estimated the general cardio vascular risk and the respective confidence intervals (95% CI). Results Most women 58.4% had low cardiovascular risk, 32.9% medium risk and 8.7% high risk. Among men, 36.5% had low cardiovascular risk, 41.9% medium risk and 21.6% high risk. The risk increased with age. The difference in CVR according to years of schooling was about five times, between high schooling (12 years of schooling and more) and (<8 years of schooling) (3.2%: 95% CI 2.4 - 4.4 versus 15, 7%: 95% CI 13.5-18.3). Black women had a higher proportion in the highest risk group ( > = 20%), 14.4% (95% CI 9.7-20.9), than white women, 7.3 (95% CI 5.8 - 9.1). The poor self-rated health showed the greatest difference, the population that self-rated with very good health 2.9% (95% CI 1.3-3.6) and very poor health 25.6% (12.7-45, 0). Conclusions The risk score is useful to support the prevention practices of these diseases, considering the clinical and epidemiological context. Key messages This is the first national population-based study to estimate RCV for the Brazilian adult population using laboratory data, being useful to identify the priority population for public health. Population with less education has a higher risk cardiovascular, and should be a priority for prevention actions in public health.


2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Samira Behboudi-Gandevani ◽  
Razieh Bidhendi Yarandi ◽  
Marzieh Rostami Dovom ◽  
Fereidoun Azizi ◽  
Fahimeh Ramezani Tehrani

Background: Further studies are needed to extend our knowledge about the association between male infertility and cardio-metabolic disorders. Objectives: We aimed to assess the association between male infertility and cardiometabolic disturbances using a population-based design. Methods: In total, 1611 participants of the Tehran-Lipid and Glucose-Study (phase III) were categorized into two groups of men with documented male infertility (n = 88) and those with at least one live birth and no history of primary infertility (n = 1523). Logistic regression was applied to explore the association between male infertility and cardiometabolic disturbances, including diabetes mellitus, pre-diabetes, hypertension, metabolic syndrome, dyslipidemia, obesity, central obesity, and chronic kidney disease, following adjustment for age and body mass index (BMI). Results: The unadjusted model revealed a significant association between infertility and hypertension and CKD (OR = 1.8; 95% CI: 1.2, 2.9, P-value = 0.006 and OR = 1.9; 95% CI: 1.1, 3.6, P-value = 0.033), respectively. However, after adjusting for age and BMI, as potential confounders, this association was not significant. Moreover, there was no association between infertility and other cardiometabolic disturbances, including diabetes and pre-diabetes, metabolic syndrome, dyslipidemia, obesity, and central obesity, in both unadjusted and adjusted models. Conclusions: Our study revealed no association between male infertility and cardiometabolic disturbances. The findings can pave the way for further studies to extend our knowledge in this field. More population-based studies with a large sample size are warranted to confirm these findings.


2021 ◽  
Vol 9 ◽  
Author(s):  
Nayla Cristina do Vale Moreira ◽  
Ibrahimu Mdala ◽  
Akhtar Hussain ◽  
Bishwajit Bhowmik ◽  
Tasnima Siddiquee ◽  
...  

Background and Aims: Cardiovascular diseases (CVDs) are the leading cause of death globally and in Brazil. Evidence suggests that the risk of CVDs differs by race/ethnicity. Scarce information exists about the association between CVD risk, obesity indicators and sociodemographic characteristics in the Brazilian population.Objectives: We aimed to assess the CVD risk following the Framingham risk score in relation to the population's sociodemographic profile. Further, we examined the association between anthropometric markers and risk of CVDs.Methods: A total of 701 subjects aged ≥20 years from North-eastern Brazil were recruited randomly to participate in a population-based, cross-sectional survey. Age-adjusted data for CVD risk, sociodemographic characteristics, and anthropometric indices were assessed, and their relationships examined.Results: High CVD risk (Framingham risk score ≥10%) was observed in 18.9% of the population. Males (31.9 vs. 12.5%) and older subjects (age ≥45 years: 68.9% vs. age <45 years: 4.2%) had significantly higher risk of CVDs, whereas those employed in manual labor showed lower risk (7.6 vs. 21.7%). Central obesity measures like waist-to-hip ratio and waist-to-height ratio were more strongly associated with predicted CVD risk than body mass index.Conclusions: Our population had a high risk of CVDs using the Framingham risk score. Cost-effective strategies for screening, prevention and treatment of CVDs may likely reduce disease burden and health expenditure in Brazil. Central obesity measures were strongly associated with predicted CVD risk and might be useful in the clinical assessment of patients. Follow-up studies are warranted to validate our findings.


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