Socioeconomic status and cardiovascular risk factors in young adults: a cross-sectional analysis of a Brazilian birth cohort

Food insecurity is associated with glycemic markers, and socioeconomic status and low-cost diets are associated with lipid metabolism in Mexican mothers

The association between socioeconomic status (SES) and chronic disease has recently become more evident in middle- and low-income countries. We hypothesized that poor socioeconomic conditions, such as food insecurity, low educational level, or low SES, may restrict access to a healthy diet and may be associated with cardiometabolic risk independently of body fat. This study examined the relation between socioeconomic indicators, body fat, and cardiometabolic disease risk markers in a random sample of mothers living in Queretaro, Mexico. Young and middle-aged mothers (n = 321) answered validated questionnaires to determine SES, food insecurity, and educational level and a semiquantitative food frequency questionnaire to determine dietary patterns and the cost of individual diet. Clinical measurements included anthropometry, blood pressure, lipids profile, glucose, and insulin. Obesity was present in 29% of the participants. Women with moderate food insecurity had higher waist circumference, glucose, insulin, and homeostasis model assessment of insulin resistance than women with food security. High triglyceride concentration and lower levels of high-density lipoprotein and low-density lipoprotein cholesterol were associated with lower SES and lower educational level. Women who consumed a lower carbohydrate diet had higher SES, higher education, and better cardiovascular risk markers. The higher carbohydrate diet profile was the least expensive diet. There was an inverse association between the cost and energy-density of foods. In conclusion, food insecurity was associated with glycemic control markers, and lower SES and education were related to a low-cost, higher carbohydrate diet and to a greater cardiovascular risk. The influence of the social environment on obesity and cardiovascular diseases needs to be further explored.

Cardiovascular risk factors across different levels of urbanization in Brazilian Afro‐derived communities ( quilombos )

OBJECTIVES

The frequency of cardiovascular diseases has increased throughout the world. People of African descent have been disproportionately affected, particularly if they reside in urban settings. In this work, we evaluate risk factors associated with cardiovascular diseases (CVD) and other chronic diseases in rural and urban Afro-derived communities (quilombo) in Central Brazil. We also determine if there are associations between the frequency of CVD risk factors, sex, and proximity to urban environments.

METHODS

Through a cross-sectional study of participants (n = 347) within three Brazilian Afro-derived communities: Kalunga (a semi-isolated rural community; n = 214), Cocalinho (a non-isolated rural village; n = 70), and Pé do Morro (an urban community; n = 63), we collected data regarding chronic disease (i.e., CVD, diabetes, and hypertension) risk through questionnaires, anthropometrics, blood pressure, and blood samples using standard protocols. Differences between variables were tested by the Chi-square test of Pearson and Fisher's Exact Test, independent sample t-tests, analysis of variances, and Kruskal-Wallis tests (p ≤ .05).

RESULTS

The prevalence of hypertension, overweight, obesity, and other cardiovascular risk factors were higher in the non-isolated rural and urban communities than in the semi-isolated rural community. We found significant sex differences in the distribution of the CVD risk factors, with all occurring at a higher frequency among females.

CONCLUSIONS

Our findings indicate that Brazilian Afro-derived communities are currently going through an epidemiological transition. The urban lifestyle and its environmental factors are likely contributing to an escalation in cardio-metabolic disease risk. However, the magnitude of this transition differentially impacts the sexes, as females suffer a higher frequency of risk factors compared to males.