Fornés et al., 2002. Rev Saúde Pública1010. Fornés NS, Martins IS, Velásquez-Meléndez G, Latorre MRDO. Escores de consumo alimentar e níveis lipêmicos em população de São Paulo, Brasil. Rev Saude Publica 2002; 36(1):12-18.
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♂ and ♀, ≥ 20 years, from the São Paulo metropolitan area (n=1045) |
TC, LDL and HDL vs FCP/ semi-quantitative FFQ |
To assess FCP evaluating by consumption scores and relating scores to levels of TC, LDL and HDL. |
Group/score I: risk foods for CVDs; Group/score II: protective foods. Data in ∑, ordered by quintile (QU) |
(+) Group/score I vs TC and LDL X of 176.9 mg/dL and 108.8 mg/dL for QU1, with Xs increasing in upper QUs. (-) Group/score II vs TC Xs decrease from QU1 to QU5, w/differences between QU1-QU4 and QU1-QU5, an in QU1-QU4 in relation to LDL. |
Neumann et al., 2006. Rev. Nutr.1717. Neumann AICP, Shirassu MM, Fisberg RM. Consumo de alimentos de risco e proteção para doenças cardiovasculares entre funcionários públicos. Rev. Nutr. 2006; 19(1):19-28.
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♂ and ♀, >18 years, civil servants in São Paulo (n=1271) |
Income and schooling vs FCP/qualitative FFQ |
To describe the FCP by risk and protective foods for CVDs and ascertain associations with schooling and family income. |
Group/score I: risk foods and/or preparations for CVDs; Group/score II: protective foods and/or preparations for CVDs. Data in X ± SD |
Group/score I > among individuals with lower secondary schooling and income up to 3 minimum wages. Group/score II > among those with higher schooling and income > 6 minimum wages. |
Moraes et al., 2006.Cad. Saúde Pública1818. Moraes SA, Rosas JB, Mondini L, Freitas ICM. Prevalência de sobrepeso e obesidade e fatores associados em escolares de área urbana de Chilpancingo, Guerrero, México, 2004. Cad Saude Publica 2006; 22(6):1289-1301.
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♂ and ♀, 5-13 years, from urban areas of Chilpancingo, Mexico (n=662) |
Age and BMI vs FCP (NI on FFQ) |
Ascertain the association between consumption of “risk” foods and BMI and age. |
Group of risk foods for chronic disease ordered by risk score terciles. Data in ∑, ordered by terciles |
(+) risk foods vs overweight 61.5% of obese > “risk” FCP score. Increasing frequency of “risk” FCP with increasing age. |
Mondini et al., 2007. Cad. Saúde Pública2626. Mondini L, Levy RB, Saldiva SRDM, Venâncio SI, Stefanini MLR. Prevalência de sobrepeso e fatores associados em crianças ingressantes no ensino fundamental em um município da região metropolitana de São Paulo, Brasil. Cad Saude Publica 2007; 23(8):1825-1834.
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Children, 6-7 years old from the 1st year of public lower secondary education in a municipality in SP state (n=1014) |
BMI and origin vs FCP (NI on FFQ) |
Ascertain association of scores for consumption of “healthy” and “unhealthy” foods with overweight and socio-environmental factors. |
Group/score I: “healthy” foods; Group/score II: “unhealthy” foods. Data in ∑, ordered by terciles (T) |
(+) FCP of “unhealthy” foods vs overweight. < frequency of FCP of “healthy” foods (T1) in more than 1/3 of children from urban area. High frequency (T3) of FCP of “unhealthy” foods did not differ between urban and rural areas. |
Oliveira et al., 2009.Cad. Saúde Pública1919. Oliveira LPM, Pinheiro SMC, Assis AMO, Silva MCM, Santana MLP, Santos NS, Pinheiro SMC, Barreto ML, Souza CO. Fatores associados a excesso de peso e concentração de gordura abdominal em adultos na cidade de Salvador, Bahia, Brasil. Cad Saude Publica 2009; 25(3):570-582.
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♂ and ♀, 19-59 years, from Salvador, Bahia (n=570) |
BMI and WC vs FCP/ FFQ NI |
To associate FCP with abdominal fat overweight by sex. |
Group/score I: legumes, fruit and vegetables; Group/score II: meats, processed meats, milk and dairy products; Group/score III: cereals and cereal products. Data in ∑, ordered by terciles (T). |
Group/score I: score from 3.54-5.53 (T2). Group/score II: score ≤ 1.30 (T1). Group/score III: score 1.44-2.70 (T2). ♂: > prevalence of overweight in T1 of group I and in T3 of group II, and of abdominal fat in T2 of groups/scores I and II. ♀: > prevalences of overweight and abdominal fat in T2 of groups/scores I and II. |
Saldiva et al.,2010. Rev. Nutr.2323. Saldiva SRDM, Silvia LFF, Saldiva PHN. Avaliação antropométrica e consumo alimentar em crianças menores de cinco anos residentes em um município da região do semiárido nordestino com cobertura parcial do programa bolsa família. Rev Nutr 2010; 23(2):221-229.
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Children, < 5 years, beneficiaries (n=85) and non-beneficiaries (n=74) of the Bolsa Família family allowance programme in João Câmara, Rio Grande do Norte (n= 164) |
Participation in the Bolsa Família programme vs FCP (NI on FFQ) |
To describe the FCP of child beneficiaries of the Bolsa Família programme. |
Group/score I: FLV; Group/score II: beans and meats; Group/score III: sweets. Data in ∑ |
(+) sweets vs child beneficiaries of the Bolsa Família programme. |
Esteves et al., 2010. Rev. Nutr.2020. Esteves EA, Rodrigues CAA, Paulino EJ. Ingestão dietética de cálcio e adiposidade em mulheres adultas. Rev Nutr 2010; 23(4):543-552.
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♀ ≥ 25 and ≤ 44 years, resident in Diamantina, Minas Gerais (n=50) |
HC, WHR,WC and BMI vs FCP (NI on FFQ) |
To evaluate dietary calcium (Ca) intake by consumption scores and their correlation with adiposity parameters. |
Group/score I: dairy products; Group/score II: vegetable sources of Ca; Group/score III: Ca bioavailability reducers. Scores in X, ordered by X, MD, SD, minimum and maximum. |
No correlations found between daily Ca intake and I, II and III scores and adiposity parameters. I and II scores were significantly < III score. |
Silva et al., 2010. Rev Bras Epidemiol2121. Silva EFR, Lewi DS, Vedovato GM, Garcia VRS, Tenore SB, Bassichetto KC. Estado nutricional, clínico e padrão alimentar de pessoas vivendo com HIV/Aids em assistência ambulatorial no município de São Paulo. Rev. bras. epidemiol. 2010; 13(4):677-688.
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♂ and ♀, 20-70 years, w/HIV/AIDS, resident in São Paulo (n=314) |
Using and not using ART vs FCP/semi-quantitative FFQ |
To evaluate CVD-related FCP scores in people living with HIV/AIDS, by use of ART. |
Group/score I: “Non-protective” for CVDs; Group/score II: “Protective” for CVDs. Data in ∑. |
The group in ART displayed > FCP of “non-protective” foods for CVDs. |
Gimeno et al., 2011. Cad. Saúde Pública 2222. Gimeno SGA, Mondini L, Moraes AS, Freitas ICM. Padrões de consumo de alimentos e fatores associados em adultos de Ribeirão Preto, São Paulo, Brasil: Projeto OBEDIARP. Cad Saude Publica 2011; 27(3):533-545.
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♂ and ♀, 30 - >60 years, resident in Ribeirão Preto, São Paulo State (n=2197) |
Sex, age group, income, schooling, WC, BMI, TC, SAH, PA, fasting glycaemia and low glucose tolerance vs FCP/Semi-quantitative FFQ |
To describe and identify factors associated with FCP. |
Group/score I: obesogenic (sweets, soft drinks and sugar); Group/score II: healthy (vegetables, fruit and skimmed milk dairy products); Group/score III: mixed (fried food, fish and roots); Group/score IV: popular (beans, cereals and vegetable fat). Data in ∑, ordered by P |
Group/score I: more active, > schooling and age < 40 years; Group/score II: more frequent among women, w/o overweight, > elderly, with central obesity, more active and with better socioeconomic position; Group/score III: more frequent among women, younger and w/o overweight; Group/score IV: more frequent among those w/o hypercholesterolaemia and with lower family income. |
Pinho et al., 2012. Rev. Nutr.2424. Pinho CPS, Diniz AS, Arruda Ilma KG, Lira PIC, Cabral PC, Siqueira LAS, Batista Filho M. Consumo de alimentos protetores e preditores do risco cardiovascular em adultos do estado de Pernambuco. Rev Nutr 2012; 25(3):341-351.
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♂ and ♀, 25-59 years, resident in Pernambuco (n=1580) |
Sex, age, geographical area of residence, schooling, per capita family income, WC, BMI, smoking, alcohol consumption and PA vs FCP (NI on FFQ) |
To evaluate consumption of protective foods and risk predictors for CVDs and associated factors. |
Group/score I: source of fibres (protective); Group/score II: simple CH; Group/score III: saturated fats (risk for CVDs and excessive weight gain). Data in MD, ordered by IR. |
FCP scores: Group/score II > I and III Group/score III < in those with > age, rural area and with < income. Group/score II > in underweight. Group/score III > in non-smokers and users of alcohol. Group/score I > income and < schooling. |
Azevedo et al., 2014. Ciência & Saúde Coletiva88. Azevedo ECC, Dias FMRS, Diniz AS, Cabral PC. Consumo alimentar de risco e proteção para as doenças crônicas não transmissíveis e sua associação com a gordura corporal: um estudo com funcionários da área de saúde de uma universidade pública de Recife (PE), Brasil. Cien Saude Colet 2014; 19(5):1613-1622.
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♂ and ♀, > 20 years, health personnel at a public university in Recife, Pernambuco (n= 267) |
Sex, age, schooling, smoking, alcohol use and PA, WC, % BF and BMI vs FCP/qualitative FFQ |
To evaluate consumption of risk and protective foods for CNCDs and association with BF and BMI. |
Group/score I: risk for CNCDs; Group/score II: protective against CNCDs. Data in MD, ordered by IR. |
((+) Protective foods vs obese and high % BF. MD of risk food consumption scores = protective > MD of protective food FCP scores in obese and with high % BF vs eutrophics vs overweight. |
Pinho et al., 2014. Rev Soc Bras Clin Med.2525. Pinho PM, Machado LM, Torres RS, Carmin SE, Mendes WA, Silva AC, Araújo MS, Ramos EMLS. Síndrome metabólica e sua relação com escores de risco cardiovascular em adultos com doenças crônicas não transmissíveis. Rev. Soc. Bras. Clín. Méd. 2014; 12(1):22-30.
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♂ and ♀, 20-59 years, w/ and w/o metabolic syndrome (MS) Belém, Pará (n=70) |
MS by IDF criteria vs FCP (NI on FFQ) |
To relate MS with FCP of cardiovascular risk and protective foods. |
Group/score I: risk foods for CVDs; Group/score II: protective foods against CVDs. Data in X and SD. |
Group/score II > Group/score I in those with MS. |
Neto et al., 2015. Rev Paul Pediatr1212. Neto ACB, Andrade MIS, Lima VLM, Diniz ASD. Peso corporal e escores de consumo alimentar em adolescentes no nordeste brasileiro. Rev. paul. pediatr.2015; 33(3):318-325.
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♂ and ♀, 10-19 years, adolescents from Vitória de Santo Antão, Pernambuco (n=2866) |
Sex, socioeconomic class, age group, mother’s schooling, area of residence, PA, smoking and alcohol use vs FCP (NI on FFQ). |
Ascertain association of FCP of risk and protective foods for CVDs with socioeconomic, demographic and lifestyle variables. |
Group/score I: foods associated with risk of CVDs. Group/score II: protective foods. Data in MD, ordered by IR. |
> MD of risk food consumption in adolescents whose mothers had > 9 years’ schooling. MD FCP of risk foods group = MD of protective foods group, but > dispersion in protective foods group than in risk foods group. |
Sotero et al., 2015. Rev Paul Pediatr1111. Sotero AM, Cabral PC, Silva GAP. Socioeconomic, cultural and demographic maternal factors associated with dietary patterns of infants. Rev. paul. pediatr. 2015; 33(4):445-452.
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Mothers with children up to 24 months old treated in the public health system (case group) and in private surgeries (comparison group) in Maceió, Alagoas (n=202) |
Mother’s schooling, income, hours/day in front of TV, meals in front of TV and supply of foods shown on TV vs FCP/qualitative FFQ |
Examine food consumption pattern of infants and its association with mother’s economic, cultural and demographic variables. |
Group/score I: sources of CH; Group/score II: sources of vitamins and fibres; Group/score III: source of protein and legumes; Group/score IV: source of calcium; Group/score V: source of sugar, fat and oil; Group/score VI: processed products. Data in MD, ordered by IR. |
Case group: > FCP of Group/score VI and association with supply of foods shown in TV advertising, < schooling, < income, families who ate meals and spent more hours in front of the TV. Comparison group: < FCP of Group/score II and association with families who ate meals and spent more hours in front of the TV. > FCP do Group/score II and III and association with > family income and mothers with > schooling. |