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1.
Genes (Basel) ; 15(7)2024 Jul 13.
Article in English | MEDLINE | ID: mdl-39062696

ABSTRACT

Epidemiological studies frequently classify groups based on phenotypes like self-reported skin color/race, which inaccurately represent genetic ancestry and may lead to misclassification, particularly among individuals of multiracial backgrounds. This study aimed to characterize both global and local genome-wide genetic ancestries and to assess their relationship with self-reported skin color/race in an admixed population of Sao Paulo city. We analyzed 226,346 single-nucleotide polymorphisms from 841 individuals participating in the population-based ISA-Nutrition study. Our findings confirmed the admixed nature of the population, demonstrating substantial European, significant Sub-Saharan African, and minor Native American ancestries, irrespective of skin color. A correlation was observed between global genetic ancestry and self-reported color-race, which was more evident in the extreme proportions of African and European ancestries. Individuals with higher African ancestry tended to identify as Black, those with higher European ancestry tended to identify as White, and individuals with higher Native American ancestry were more likely to self-identify as Mixed, a group with diverse ancestral compositions. However, at the individual level, this correlation was notably weak, and no deviations were observed for specific regions throughout the individual's genome. Our findings emphasize the significance of accurately defining and thoroughly analyzing race and ancestry, especially within admixed populations.


Subject(s)
Polymorphism, Single Nucleotide , Self Report , Skin Pigmentation , Humans , Brazil , Skin Pigmentation/genetics , Male , Female , Adult , White People/genetics , Urban Population , Black People/genetics , Racial Groups/genetics , Middle Aged , Genetics, Population
2.
Int. j. cardiovasc. sci. (Impr.) ; 35(2): 230-242, Mar.-Apr. 2022. tab, graf
Article in English | LILACS | ID: biblio-1364972

ABSTRACT

Abstract Background Cardiovascular diseases (CVDs) are the main cause of morbidity and mortality in Brazil. Objective To provide population-based data on prevalence and factors associated with CVD risk factors. Methods Individuals aged ≥20 years from two editions of the cross-sectional Health Survey of São Paulo focusing on Nutrition (ISA-Nutrition), performed in Sao Paulo city in 2008 (n=590) and 2015 (n=610), were evaluated for: obesity, central obesity, waist/height ratio, high blood pressure (HBP), dyslipidemia, diabetes, and number of CVD risk factors ≥3. Prevalence was estimated according to complex survey procedures. Factors associated with cardiovascular risk factors were assessed using logistic regression, with statistical significance of p<0.05. Results Obesity and older age were associated with higher odds of all cardiovascular risk factors investigated, except for dyslipidemia. HBP was positively associated with being Black/Brown and negatively associated with being physicaly active in leisure time. Women were more likely to have increased adiposity indicators and three or more cardiovascular risk factors than men. Those with higher education had lower chances of having diabetes, HBP and dyslipidemia, and those with higher income had higher chances of having three or more risk factors. Former smokers had higher odds of diabetes, obesity, and high waist/height ratio, and smokers had higher odds of high non-HDL cholesterol levels. From 2008 to 2015, there was an increase (p<0.001) in the prevalence of diabetes (6.9% to 17.3%), HBP (31.9% to 41.8%), dyslipidemia (51.3% to 67.6%), and number of CVD risk factors ≥3 (18.9% to 34.1%). Conclusion This study shows increasing prevalence of CVD risk factors in adult population in Sao Paulo and may support the definition of target groups and priority actions on CVD prevention and treatment.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Young Adult , Cardiovascular Diseases/epidemiology , Cardiometabolic Risk Factors , Brazil , Logistic Models , Odds Ratio , Prevalence , Cross-Sectional Studies , Health Surveys , Morbidity , Age Factors , Diabetes Mellitus/epidemiology , Age and Sex Distribution , Dyslipidemias/epidemiology , Waist-Height Ratio , Hypertension/epidemiology , Obesity/epidemiology
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