Relative validation of a quantitative FFQ for use in Brazilian pregnant women

Barbieri, P; Nishimura, R; Crivellenti, Lívia Castro; Sartorelli, Daniela Saes

doi:10.1017/s1368980012003783

Cited by 41 publications

(51 citation statements)

References 24 publications

(50 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…First, the cross-sectional design of the study does not allow for establishing causal relationships. Also, the FFQ previously validated for adults (20) was not developed for pregnancy; however, epidemiological studies have shown that FFQ can be used to measure nutritional dietary intake during pregnancy with acceptable validity and reproducibility (7,10) , including in Brazil (37) . Finally, the 0·018 0·471 − 0·031, 0·067 0·035 0·169 − 0·014, 0·084 0·033 0·180 − 0·015, 0·080 Family income ($US) † 0·0003 0·007 0·0001, 0·0005 0·0001 0·259 − 0·0001, 0·0003 − 0·0003 0·025 − 0·0005, 0·0003 Parity (n) − 0·083 0·041 − 0·163, −0·003 − 0·015 0·715 − 0·095, 0·065 0·142 <0·001 0·065, 0·219 Marital status 0·023 0·688 − 0·090, 0·136 0·002 0·977 − 0·111, 0·115 0·125 0·026 0·015, 0·236 Skin colour 0·015 0·761 − 0·084, 0·114 − 0·026 0·600 − 0·125, 0·072 0·021 0·678 − 0·077, 0·118 Adjusted Age (years) 0·021 0·058 − 0·001, 0·042 − 0·017 0·075 − 0·037, 0·003 − 0·018 0·061 − 0·037, 0·001 Schooling (years) 0·019 0·406 − 0·026, 0·065 0·025 0·132 − 0·018, 0·067 0·010 0·628 − 0·030, 0·050 Family income ($US) † 0·0006 0·011 0·0001, 0·001 0·0004 0·090 − 0·0001, 0·001 − 0·0004 0·102 − 0·001, 0·0001 Parity (n) − 0·097 0·030 − 0·184, −0·009 0·007 0·861 − 0·074, 0·089 0·098 0·012 0·021, 0·175 Marital status ‡ 0·030 0·588 − 0·078, 0·137 0·0004 0·993 − 0·100, 0·101 0·073 0·131 −0·022, 0·168 *The models were adjusted for total energy intake and pre-gestational BMI.…”

Section: Discussionmentioning

confidence: 99%

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

Castro¹,

Freitas-Vilela²,

Oliveira³

et al. 2015

Public Health Nutr.

View full text Add to dashboard Cite

Objective: Sociodemographic factors may affect adherence to specific dietary patterns during pregnancy. The present study aimed to identify dietary patterns during pregnancy and associated factors among Brazilian pregnant women. Design: A cross-sectional analysis. Dietary intake was evaluated with a semiquantitative FFQ during the first postpartum week; the time frame included the second and third gestational trimesters. Principal component analysis was used to identify dietary patterns during pregnancy. Sociodemographic data were obtained using a structured questionnaire. Multiple linear regressions were applied to test the associations between the sociodemographic factors and dietary patterns. Setting: Mesquita, Rio de Janeiro, Brazil, 2011. Subjects: Postpartum women (n 327) who were 18-45 years of age and Mesquita residents. Results: Three different dietary patterns were identified: 'healthy' (mainly comprising legumes, vegetables and fruits), 'mixed' (mainly comprising candy, butter and margarine, and snacks) and 'traditional' (mainly comprising beans and rice). Women with a higher monthly per capita family income (β = 0·0006; 95 % CI 0·0001, 0·001; P = 0·011) and women of older age (β = 0·021; 95 % CI −0·001, 0·042; P = 0·058) were more likely to adhere to the 'healthy' dietary pattern. Women with higher parity were less likely to adhere to the 'healthy' pattern (β = − 0·097; 95 % CI −0·184, −0·009; P = 0·030) and were more likely to adhere to the 'traditional' pattern (β = 0·098; 95 % CI 0·021, 0·175; P = 0·012). Although not statistically significant, older women were less likely to adhere to the 'mixed' (β = − 0·017; 95 % CI −0·037, 0·003; P = 0·075) and 'traditional' (β = − 0·018; 95 % CI −0·037, 0·001; P = 0·061) dietary patterns. Conclusions: Monthly per capita family income, parity and maternal age were factors associated with adherence to a healthy diet during pregnancy.

show abstract

Section: Discussionmentioning

confidence: 99%

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

Castro¹,

Freitas-Vilela²,

Oliveira³

et al. 2015

Public Health Nutr.

View full text Add to dashboard Cite

show abstract

“…Uma elevada proporção de gestantes (>70%) foi classificada no mesmo quartil ou quartis adjacentes para estimativa de energia, carboidratos, cálcio, potássio, fibra, zinco, colesterol e vitaminas A, riboflavina, niacina, C, E e ácido fólico, quando comparado a estimativa de três IR 24hs ao longo da gestação. 7 Para avaliação da reprodutibilidade, o QQFA foi aplicado em duplicata por um mesmo entrevistador, com intervalo médio de 15-45 dias entre cada aplicação. As gestantes foram solicitadas a responder o tamanho da porção e frequência de consumo da lista de alimentos desde o início da gestação.…”

Section: Métodosunclassified

A influência da escolaridade na reprodutibilidade de um questionário quantitativo de frequência alimentar para gestantes

Isobe

Bertola

Zuccolotto

et al. 2013

Rev. Bras. Saude Mater. Infant.

View full text Add to dashboard Cite

show abstract

“…These correlations were somewhat lower than those reported in our study for solid fruits (0.52) and total vegetables (0.44); however, our correlations for meat, poultry, fish (we did not assess red meat separately (0.31)) were lower. Our results are also comparable to those reported by other researchers for validation of diet screeners or much longer FFQs among pregnant women (Erkkola et al., 2001; Mouratidou, Ford, & Fraser, 2006; Brantsaeter, Haugen, Alexander, & Meltzer, 2008; Loy, Marhazlina, Nor, & Hamid, 2011; Barbieri, Nishimura, Crivellenti, & Sartorelli, 2013; Barbieri , Crivellenti, Nishimura, & Sartorelli, 2014). For example, Brantsaeter et al.…”

Section: Discussionmentioning

confidence: 99%

Relative validation of a short questionnaire to assess the dietary habits of pregnant American Indian women

Hartman

Elliott

Angal

et al. 2016

Food Science & Nutrition

View full text Add to dashboard Cite

The objective of this study was to compare a short dietary screener developed to assess diet quality with interviewer‐administered telephone 24‐hour dietary recalls in a population of pregnant Northern Plains (NP) American Indian women. Participants were recruited from NP clinical sites of the Prenatal Alcohol and SIDS and Stillbirth (PASS) Network, as part of a large, prospective, multidisciplinary study. Prenatal PASS participants who enrolled prior to 24 weeks gestation were eligible to participate. Repeated 24‐hour dietary recalls were collected using the Nutrition Data System for Research (NDSR) software and a short dietary screener was administered intended to capture usual dietary intake during pregnancy. The available recalls were averaged across days for analysis. Items were grouped from the recalls to match the food group data estimates for the screener (e.g., total vegetables, total fruit, total dairy, total and whole grains). Deattenuated Pearson correlation coefficients were calculated between the two data sources after correcting for the within‐person variation in the 24‐hour recall data. A total of 164 eligible women completed the screener and at least two 24‐hour dietary recalls and were included in the analyses. Pearson deattenuated correlation coefficients between the diet screener and the dietary recalls for the majority of food groups were 0.40 or higher. This short diet screener to assess usual diet appears to be a valid instrument for use in evaluating diet quality among pregnant American Indian women.

show abstract

Relative validation of a quantitative FFQ for use in Brazilian pregnant women

Cited by 41 publications

References 24 publications

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

Sociodemographic characteristics determine dietary pattern adherence during pregnancy

A influência da escolaridade na reprodutibilidade de um questionário quantitativo de frequência alimentar para gestantes

Relative validation of a short questionnaire to assess the dietary habits of pregnant American Indian women

Contact Info

Product

Resources

About