Food consumption patterns, overweight and cardiovascular risk: a cross-sectional analysis of the Pró-Saúde Study, Brazil, 2013. / Padrão de consumo de alimentos, excesso de peso e risco cardiovascular: uma análise transversal do Estudo Pró-Saúde, 2013.

OBJECTIVE: To identify food consumption patterns and association between overweight and risk of cardiovascular disease. METHODS: This was a cross-sectional study with staff of the Universidade do Estado do Rio de Janeiro, Brazil, who took part in the Pró-Saúde Study. Food consumption was investigated using a food frequency questionnaire. Association between dietary patterns (exposure) and overweight and cardiovascular risk (outcomes) was estimated using linear regression. RESULTS: Among the 520 staff assessed, four dietary patterns were found: 'ultra-processed', 'healthy', 'meat' and 'traditional'. After adjustment, the 'meat' pattern was inversely associated with waist circumference (ß=-1.52 - 95%CI -2.66;-0.39), body mass index (ß=-0.56 - 95%CI -1.01;-0.11), and the Framingham Risk Score (ß=-0.36 - 95%CI -0.64;-0.09). CONCLUSION: In view of excess weight, risk of cardiovascular disease and inverse association between the 'meat' food consumption pattern and BMI, it is important to conduct further investigations, with non-working groups, with the aim of gaining greater understanding of the health-disease process related to food consumption.

Padrão de consumo de alimentos, excesso de peso e risco cardiovascular: uma análise transversal do Estudo Pró-Saúde, 2013 / Patrón de consumo de alimentos, sobrepeso y riesgo cardiovascular: un análisis transversal del Estudio Pro-Salud, Brasil, 2013 / Food consumption patterns, overweight and cardiovascular risk: a cross-sectional analysis of the Pró-Saúde Study, Brazil, 2013

Objetivo: Identificar o padrão de consumo e a associação entre excesso de peso e risco de doença cardiovascular. Métodos: Estudo transversal, com servidores da Universidade do Estado do Rio de Janeiro, Brasil, participantes do Estudo Pró-Saúde. O consumo alimentar foi investigado mediante questionário de frequência alimentar. A associação entre padrões alimentares (exposição), excesso de peso e risco cardiovascular (desfechos) foi estimada por regressão linear. Resultados: Entre 520 avaliados, foram observados quatro padrões alimentares: 'ultraprocessados'; 'saudável'; 'carnes'; 'tradicional'. Nas análises ajustadas, 'carnes' foi inversamente associado à circunferência de cintura (ß=-1,52 - IC95% -2.66;-0,39), índice de massa corporal (IMC) (ß=-0,56 - IC95% -1,01;-0,11) e escore de risco de Framingham (ß=-0,36 - IC95% -0,64;-0,09). Conclusão: Diante do excesso de peso, risco de doenças cardiovasculares e associação inversa entre o padrão alimentar 'carnes' e o IMC, tornam-se importantes novas investigações em populações não trabalhadoras, visando melhor compreender o processo saúde-doença relacionado ao consumo alimentar.

Objetivo: Identificar patrones de consumo y asociación con sobrepeso y riesgo de enfermedad cardiovascular. Métodos: Estudio transversal, con funcionarios de la Universidad del Estado de Rio de Janeiro, Brasil, participantes del Estudio Pro-Salud. Se investigó el consumo de alimentos mediante cuestionario de frecuencia alimentaria. La asociación entre patrones dietéticos (exposición), sobrepeso y riesgo cardiovascular (resultados) se estimó mediante regresión lineal. Resultados: Fueron observados cuatro patrones dietéticos: `ultraprocesado´, `saludable´, `carnes`, `tradicional´. Después del ajuste, el patrón de carne se asoció inversamente con la circunferencia de la cintura (ß=-1,52 - IC95% -2,66 ;-0,386), el índice de masa corporal (ß=-0,56 - IC95% -1,008; -0,108) y el puntaje de riesgo de Framingham (ß=-0,36 - IC95% -0,64;-0,092). Conclusión: En vista del sobrepeso, el riesgo de enfermedades cardiovasculares y la asociación inversa entre el patrón de carne y el IMC, es importante investigar más, en grupos no laborales, con el objetivo de comprender el proceso salud-enfermedad relacionado al consumo de alimentos.

Objective: To identify food consumption patterns and association between overweight and risk of cardiovascular disease. Methods: This was a cross-sectional study with staff of the Universidade do Estado do Rio de Janeiro, Brazil, who took part in the Pró-Saúde Study. Food consumption was investigated using a food frequency questionnaire. Association between dietary patterns (exposure) and overweight and cardiovascular risk (outcomes) was estimated using linear regression. Results: Among the 520 staff assessed, four dietary patterns were found: 'ultra-processed', 'healthy', 'meat' and 'traditional'. After adjustment, the 'meat' pattern was inversely associated with waist circumference (ß=-1.52 - 95%CI -2.66;-0.39), body mass index (ß=-0.56 - 95%CI -1.01;-0.11), and the Framingham Risk Score (ß=-0.36 - 95%CI -0.64;-0.09). Conclusion: In view of excess weight, risk of cardiovascular disease and inverse association between the 'meat' food consumption pattern and BMI, it is important to conduct further investigations, with non-working groups, with the aim of gaining greater understanding of the health-disease process related to food consumption.

Food consumption according to degree of processing and sociodemographic characteristics: Estudo Pró-Saúde, Brazil. / Consumo alimentar segundo o grau de processamento e características sociodemográficas: Estudo Pró-Saúde.

OBJECTIVE: To investigate the food consumption according to the degree of processing and associations with sociodemographic characteristics. METHODS: A cross-sectional study of the Estudo Pró-Saúde (Pro-Health Study), with 520 civil servants of university campuses, Rio de Janeiro, 2012-13. A food frequency questionnaire was used to classify food consumption: 1) in natura, minimally processed, food preparations based on these foods; 2) processed foods; 3) ultra-processed foods. The relative energy contribution of each group was determined, and a seemingly unrelated equations regression (SUR) regression model was used to estimate associations with sociodemographic characteristics. RESULTS: The in natura food group (1) contributed with 59% of the energy consumption and was directly associated with age [45-49 years (ß = 1.8 confidence interval of 95% - 95%CI -1.2; 4.8); 50-54 (ß = 1.5 95%CI -1.5; 4.5); 55-59 (ß = 2.9 95%CI -0.4; 6.3) and ≥ 60 (ß = 4.6 95%CI 1.1; 8.2)], compared to age ≤ 44. In contrast, the group of ultra-processed foods contributed 27% and were inversely associated with age [45-49 (ß = -1.7 95%CI -4.3; 0.9); 50-54 (ß = -1.8 95%CI -4.3; 0.9); 55-59 (ß = -4.9 95%CI -8.0; -2.0); ≥ 60 (ß = -4.5 95%CI -7.6; -1.5)]. Gender, income and schooling were not associated with food consumption. CONCLUSION: Younger adults had higher consumption of ultra-processed foods, indicating the need for interventions mainly in this age group. The absence of association with other sociodemographic characteristics may be due to the influence of contextual factors.

OBJETIVO: Investigar o consumo alimentar segundo o grau de processamento e associações com características sociodemográficas. MÉTODOS: Estudo transversal de subamostra do Estudo Pró-Saúde, com 520 funcionários públicos de campi universitários, Rio de Janeiro, 2012-13. Questionário de frequência alimentar foi utilizado para classificar o consumo alimentar: 1) in natura, minimamente processados, preparações culinárias à base desses alimentos; 2) alimentos processados; 3) alimentos ultraprocessados. Determinou-se a contribuição energética relativa de cada grupo, e foi utilizado modelo de regressão seemingly unrelated equations regression (SUR) para estimar associações com as características sociodemográficas. RESULTADOS: O grupo de alimentos in natura (1) contribuiu com 59% do consumo energético e foi diretamente associado à idade [45-49 anos (ß = 1,8 intervalo de confiança de 95% - IC95% -1,2; 4,8); 50-54 (ß = 1,5 IC95% -1,5; 4,5); 55-59 (ß = 2,9 IC95% -0,4; 6,3) e ≥ 60 (ß = 4,6 IC95% 1,1; 8,2)], comparado à idade ≤ 44. Em contraste, ultraprocessados contribuíram com 27% e foram inversamente associados à idade [45-49 (ß = -1,7 IC95% -4,3; 0,9); 50-54 (ß = -1,8 IC95% -4,3; 0,9); 55-59 (ß = -4,9 IC95% -8,0; -2,0); ≥ 60 (ß = -4,5 IC95% -7,6; -1,5)]. Sexo, renda e escolaridade não foram associados ao consumo alimentar. CONCLUSÃO: Adultos mais jovens apresentaram maior consumo de ultraprocessados, indicando a necessidade de intervenções principalmente nessa faixa etária. A ausência de associação com demais características sociodemográficas pode ser por conta da influência de fatores contextuais.

Consumo alimentar segundo o grau de processamento e características sociodemográficas: Estudo Pró-Saúde / Food consumption according to degree of processing and sociodemographic characteristics: Estudo Pró-Saúde, Brazil

RESUMO: Objetivo: Investigar o consumo alimentar segundo o grau de processamento e associações com características sociodemográficas. Métodos: Estudo transversal de subamostra do Estudo Pró-Saúde, com 520 funcionários públicos de campi universitários, Rio de Janeiro, 2012-13. Questionário de frequência alimentar foi utilizado para classificar o consumo alimentar: 1) in natura, minimamente processados, preparações culinárias à base desses alimentos; 2) alimentos processados; 3) alimentos ultraprocessados. Determinou-se a contribuição energética relativa de cada grupo, e foi utilizado modelo de regressão seemingly unrelated equations regression (SUR) para estimar associações com as características sociodemográficas. Resultados: O grupo de alimentos in natura (1) contribuiu com 59% do consumo energético e foi diretamente associado à idade [45-49 anos (β = 1,8 intervalo de confiança de 95% - IC95% -1,2; 4,8); 50-54 (β = 1,5 IC95% -1,5; 4,5); 55-59 (β = 2,9 IC95% -0,4; 6,3) e ≥ 60 (β = 4,6 IC95% 1,1; 8,2)], comparado à idade ≤ 44. Em contraste, ultraprocessados contribuíram com 27% e foram inversamente associados à idade [45-49 (β = -1,7 IC95% -4,3; 0,9); 50-54 (β = -1,8 IC95% -4,3; 0,9); 55-59 (β = -4,9 IC95% -8,0; -2,0); ≥ 60 (β = -4,5 IC95% -7,6; -1,5)]. Sexo, renda e escolaridade não foram associados ao consumo alimentar. Conclusão: Adultos mais jovens apresentaram maior consumo de ultraprocessados, indicando a necessidade de intervenções principalmente nessa faixa etária. A ausência de associação com demais características sociodemográficas pode ser por conta da influência de fatores contextuais.

ABSTRACT: Objective: To investigate the food consumption according to the degree of processing and associations with sociodemographic characteristics. Methods: A cross-sectional study of the Estudo Pró-Saúde (Pro-Health Study), with 520 civil servants of university campuses, Rio de Janeiro, 2012-13. A food frequency questionnaire was used to classify food consumption: 1) in natura, minimally processed, food preparations based on these foods; 2) processed foods; 3) ultra-processed foods. The relative energy contribution of each group was determined, and a seemingly unrelated equations regression (SUR) regression model was used to estimate associations with sociodemographic characteristics. Results: The in natura food group (1) contributed with 59% of the energy consumption and was directly associated with age [45-49 years (β = 1.8 confidence interval of 95% - 95%CI -1.2; 4.8); 50-54 (β = 1.5 95%CI -1.5; 4.5); 55-59 (β = 2.9 95%CI -0.4; 6.3) and ≥ 60 (β = 4.6 95%CI 1.1; 8.2)], compared to age ≤ 44. In contrast, the group of ultra-processed foods contributed 27% and were inversely associated with age [45-49 (β = -1.7 95%CI -4.3; 0.9); 50-54 (β = -1.8 95%CI -4.3; 0.9); 55-59 (β = -4.9 95%CI -8.0; -2.0); ≥ 60 (β = -4.5 95%CI -7.6; -1.5)]. Gender, income and schooling were not associated with food consumption. Conclusion: Younger adults had higher consumption of ultra-processed foods, indicating the need for interventions mainly in this age group. The absence of association with other sociodemographic characteristics may be due to the influence of contextual factors.

Perception of food consumed at home and dietary intake: A nationwide study from Brazil.

Perception of food consumed is a key factor in acknowledging the need for behavioral change to improve diet quality. We analyzed family dietary intake according to the head of household's perception of satisfaction with food consumed by the family. Households (n = 13,351) that participated in the Brazilian Household Budget Survey and the National Dietary Survey were classified as satisfied or dissatisfied with the food consumed in the home. We compared the family dietary intake of the two groups considering their socio-demographic characteristics. Satisfied families (n = 4429) reported statistically higher intake (in grams/1000 kcal) of vegetables (47.3 vs 33.7), fruits (46.9 vs 21.4), sugar-sweetened beverages (118 vs 71.7), milk and dairy (57.9 vs 34.6), and ultra-processed products (18.6 vs 9.8); and lower intake of rice (86.2 vs 112), beans (91.7 vs 136), and meat (76.5 vs 84.0) when compared to dissatisfied families (n = 1717). Among satisfied families, in the youngest group we found lower consumption of fruits and higher intake of sugar-sweetened beverages and ultra-processed products when compared to the oldest group. Also among satisfied families, those in the highest per capita income group presented higher intake of fruits and lower intake of beans than those in the lowest income group. Satisfied families in the highest income group also consumed more fruits and less beans than dissatisfied families in the same income group. Socio-demographic characteristics may influence perception of satisfaction with food consumed and potentially influence the success of public health efforts to offer nutrition guidance for families satisfied with diets that may or may not be comprised of healthy food and beverages.