What is the best anthropometric predictor for identifying higher risk for cardiovascular diseases in afro‐descendant Brazilian women? A cross‐sectional population‐based study

Ferreira, Haroldo da Silva; Soares, Mariana L.; Krakauer, Nir Y.; Santos, Ewerton Amorim dos; Krakauer, Jesse C.; Uchôa, Silvia B. B.; Santos, Tamara Rodrigues dos; Anjos, Luiz Antônio dos

doi:10.1002/ajhb.23652

Cited by 3 publications

(3 citation statements)

References 26 publications

(37 reference statements)

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“…It is worth mentioning that this study evaluated African-descent women living in Quilombola communities and subjected to great social vulnerability, institutional racism, and food insecurity [30,70,71]. Studies on Quilombola communities are still limited, being this the first regarding the consumption of UPF.…”

Section: Discussionmentioning

confidence: 99%

“…To obtain the sample size planned for the larger project of which this study is part, 34 of the 68 Quilombola communities in Alagoas state were selected by systematic sampling. The sampling process provided for obtaining a probabilistic sample representative of the families of Quilombola communities in the state [30].…”

Section: Population Eligibility Criteria and Sample Designmentioning

confidence: 99%

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Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil

Barbosa

Vasconcelos

Santos

et al. 2023

Int J Equity Health

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Background The processing of food can cause changes that turn them into risk factors for chronic diseases. A higher degree of food processing is associated with the development of chronic non-communicable diseases (NCDs), including the metabolic syndrome (MetS). The objective of this study was to analyze the relationship between ultra-processed food (UPF) consumption and the prevalence of MetS and its risk factors, focusing on a population group especially subjected to precarious living conditions and food insecurity. Method Cross-sectional population-based study with women (19 to 59 years) from Quilombola communities of Alagoas. The socioeconomic, demographic, anthropometric, health status, lifestyle, and food intake (24-h recall) variables were analyzed. The dependent variable was the MetS, defined using the harmonization criteria of the Joint Interim Statement, and its components. The foods consumed were categorized according to the Nova Classification, assuming the highest UPF consumption as risk exposure. The measure of association was the prevalence ratio (PR) and respective 95%CI, calculated by Poisson regression with robust variance. We also analyzed the association with the Nova score of UPF consumption. Results We investigated 895 women (38.9 ± 11.0 years), of whom 48.3% had MetS. On average, 15.9% of the total energy intake came from UPF. Lower Nova scores were associated with a lower prevalence of diabetes and low HDL. Higher UPF consumption was associated with a 30% higher prevalence of hypertension (PR = 1.30; 95%CI: 1.06–1.61). Conclusion The highest UPF consumption was positively associated with the prevalence of hypertension, while a lower Nova score was a protective factor against diabetes and low HDL. UPF consumption in Quilombola communities is important but lower than that observed in the Brazilian population in general. It is suggested that public health programs be implemented to promote healthy eating while valuing the existing eating habits and traditions among the remaining Brazilian Quilombola people.

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Section: Discussionmentioning

confidence: 99%

Section: Population Eligibility Criteria and Sample Designmentioning

confidence: 99%

Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil

Barbosa

Vasconcelos

Santos

et al. 2023

Int J Equity Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…5 WC was considered the most appropriate alternative screening tool to identify Quilombola women with the most significant risk for CVD. 6 Another study reported that the BMI, WC, and WHR were viable predictors of CVD in men, while BMI was the most reliable predictor for women. 7 Hachbardt et al 8 recently showed that BMI was associated with WC, related to CVD risk, but not WHR.…”

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confidence: 99%

Estratégia Chave para Prever Doenças Cardiovasculares: Uma Combinação de Índices Antropométricos

Silva¹

2021

Arquivos Brasileiros De Cardiologia

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Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index

2023

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What is the best anthropometric predictor for identifying higher risk for cardiovascular diseases in afro‐descendant Brazilian women? A cross‐sectional population‐based study

Cited by 3 publications

References 26 publications

Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil

Ultra-processed food consumption and metabolic syndrome: a cross-sectional study in Quilombola communities of Alagoas, Brazil

Estratégia Chave para Prever Doenças Cardiovasculares: Uma Combinação de Índices Antropométricos

Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index

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