OBJECTIVE: To study food patterns assessed using scores of consumption and their relationship with serum total cholesterol (TOTAL-C), low density lipoprotein-cholesterol (LDL-C) and high density lipoproteins (HDL-C) concentration in the population of the metropolitan area of São Paulo, Brazil. METHODS: Data on food frequency consumption (FFC), serum lipids, and other covariates were available for a representative sample of 1,045 adults. A 12-month retrospective food frequency questionnaire was used. FFC was assessed using scores of consumption, which was obtained by grouping food according to their composition into two large groups: score I (known as risk food for cardiovascular diseases) and score II (known as healthy food). The association between the scores and serum blood lipoprotein levels among the study population was analyzed through multiple linear regression analyses. Modeling step-wise techniques were used to enter the covariates into the linear models. RESULTS: Increasing mean levels of TOTAL-C and LDL-C were seen from the lowest through the highest quintile of score I when compared to the score II, where decreasing mean levels of TOTAL-C and LDL-C were observed from the lowest to the highest quintile. The results of the linear regression analyses between serum TOTAL-C and LDL-C levels for both FFC score I and score II, after multivariate adjusting, showed a significant positive relationship with score I and a significant and inverse relationship with score II. CONCLUSIONS: In population studies, FFC analyses through scores can be the choice method to evaluate the quality of diet and its potential effect on serum levels of TOTAL-C and LDL-C.
OBJECTIVE: To study food patterns assessed using scores of consumption and their relationship with serum total cholesterol (TOTAL-C), low density lipoprotein-cholesterol (LDL-C) and high density lipoproteins (HDL-C) concentration in the population of the metropolitan area of São Paulo, Brazil. METHODS: Data on food frequency consumption (FFC), serum lipids, and other covariates were available for a representative sample of 1,045 adults. A 12-month retrospective food frequency questionnaire was used. FFC was assessed using scores of consumption, which was obtained by grouping food according to their composition into two large groups: score I (known as risk food for cardiovascular diseases) and score II (known as healthy food). The association between the scores and serum blood lipoprotein levels among the study population was analyzed through multiple linear regression analyses. Modeling step-wise techniques were used to enter the covariates into the linear models. RESULTS: Increasing mean levels of TOTAL-C and LDL-C were seen from the lowest through the highest quintile of score I when compared to the score II, where decreasing mean levels of TOTAL-C and LDL-C were observed from the lowest to the highest quintile. The results of the linear regression analyses between serum TOTAL-C and LDL-C levels for both FFC score I and score II, after multivariate adjusting, showed a significant positive relationship with score I and a significant and inverse relationship with score II. CONCLUSIONS: In population studies, FFC analyses through scores can be the choice method to evaluate the quality of diet and its potential effect on serum levels of TOTAL-C and LDL-C.
Authors: Amanda G Ribeiro; Sônia M R Ribeiro; Cristina M G C Dias; Andréia Q Ribeiro; Fátima A F Castro; Maria M Suárez-Varela; Rosângela M M Cotta Journal: BMC Public Health Date: 2011-08-10 Impact factor: 3.295
Authors: Augusto Cesar Barreto Neto; Maria Izabel Siqueira de Andrade; Vera Lúcia de Menezes Lima; Alcides da Silva Diniz Journal: Rev Paul Pediatr Date: 2015-06-09
Authors: Joyce Gomes de Moraes; Maria Eugênia Farias de Almeida Motta; Monique Ferraz de Sá Beltrão; Taciana Lima Salviano; Giselia Alves Pontes da Silva Journal: Int J Pediatr Date: 2016-06-23