Use of a food frequency questionnaire in American Indian and Caucasian pregnant women: a validation study

Baer, Heather J.; Blum, Robin E.; Rockett, Helaine; Leppert, Jill; Gardner, Jane; Suitor, Carol West; Colditz, Graham A.

doi:10.1186/1471-2458-5-135

Cited by 56 publications

(63 citation statements)

References 36 publications

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“…In a metaanalysis of 23 trials assessing dietary intake at multiple time points, a small increase of w140 kJ/d was reported, although mean energy intake was below the respective national recommendations (1). Interestingly, some of the included studies reported decreases in energy intake, although the magnitude was small and statistically nonsignificant, similar to the present study (29)(30)(31)(32)(33). Increasing BMI and sedentariness in the background population may also contribute to altered energy expenditure patterns in pregnancy.…”

Section: Starch Intakesupporting

confidence: 45%

Dietary micronutrient intake during pregnancy is a function of carbohydrate quality

Goletzke

Buyken

Louie³

et al. 2015

The American Journal of Clinical Nutrition

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Section: Starch Intakesupporting

confidence: 45%

Dietary micronutrient intake during pregnancy is a function of carbohydrate quality

Goletzke

Buyken

Louie³

et al. 2015

The American Journal of Clinical Nutrition

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“…In a study conducted among pregnant women in Brazil, Giacomello et al (14) identified Pearson's correlation coefficients of between 0?01 for saturated fats and 0?47 for Ca, taking two 48hR as the reference method. The low correlation coefficients seen in validation studies of FFQ for pregnant women can be partially explained by the high within-person variability in estimated energy and nutrient intakes during this phase of life, especially when few replications of 24hR or records are taken as the reference method (12) .…”

Section: Discussionmentioning

confidence: 99%

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

Barbieri

Nishimura

Crivellenti

et al. 2012

Public Health Nutr.

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Objective: To evaluate the ability of an FFQ, designed for use in Brazilian pregnant women, to estimate nutrient intakes during pregnancy. Design: A prospective study was conducted among 103 pregnant women attended by the Brazilian national health-care service. Food intake during pregnancy was evaluated by three 24 h dietary recalls (24hR), one per trimester of pregnancy, and also by two FFQ. The FFQ with eighty-five food items included questions about frequency of intake and portion sizes during two periods: the first 24 weeks of pregnancy and the pregnancy period as a whole. Deattenuated Pearson's correlation coefficients and joint classification into quartiles of nutrient intake were applied. Setting: Ribeirão Preto, São Paulo State, Brazil. Subjects: One hundred and three pregnant women, aged 18-35 years. Results: Acceptable correlation coefficients (r . 0?35) were found for Ca, K, Zn, Mg, fibre, vitamin C, niacin and folic acid for intake for the first 24 weeks; and for energy, lipids, protein, carbohydrate, Fe, K, Zn, fibre, vitamin B 6 , riboflavin and niacin for the gestational period as a whole. A high proportion of study participants ($70 %) were categorized into the same or adjacent quartiles for estimated energy, carbohydrate, Ca, K, fibre, Zn, cholesterol, vitamin A, riboflavin, niacin, vitamin C, vitamin E and folic acid. Gross misclassification ranged from 2?3 % (dietary fibre) to 12?5 % (vitamin A, thiamin and SFA). Conclusions: The FFQ is a useful tool for assessing categories of nutrient intake during pregnancy, since a high proportion of women were classified into the same or adjacent quartiles. Keywords FFQ Pregnant women Validation studiesInadequate maternal diet is a relevant risk factor for complications during pregnancy (1,2) , impaired fetal development (3) and may also be linked to higher risk of chronic diseases during childhood (4) and adult life (5) .The FFQ is a method widely used in epidemiological studies aimed at categorizing individuals into different levels of consumption and determining their relationships with health outcomes (6,7) . The FFQ's ability to assess dietary intake of pregnant women is due to the fact this method spans a longer time frame, thus allowing the detection of changes in dietary intake during each trimester of pregnancy (8)(9)(10)(11) .Validation studies of FFQ for use in pregnant women have shown that nutrient estimates using this method exhibit high levels of agreement with intake estimates using the 24 h dietary recall (24hR) (12)(13)(14) or daily records (DR) (15,16) , suggesting a good accuracy of the FFQ for assessing dietary intake in this population group. Since 24hR and FFQ might have correlated errors, related to memory and estimation of portion size, the use of multiple DR or weighed records as the reference method is recommended. Nevertheless, when literacy or motivation of participants is low, the 24hR might be applied as the reference measure of nutrient intake (6) .In an earlier study, an FFQ was developed for use in pregnant women ...

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“…We measured minutes of driving time from patient home to 1) primary-care clinic and 2) the central hospital, where the endoscopy facility is located because increased travel time may be associated with lower CRC test use. (22) Driving time was calculated with MapQuest’s Open Document API Web Service which uses OpenStreetMap (OSM) data. OSM is a collaborative open-source participatory GIS map updated weekly with data provided by various, registered contributors, including international government agencies.…”

Section: Methodsmentioning

confidence: 99%

Physicians, Clinics, and Neighborhoods: Multiple Levels of Influence on Colorectal Cancer Screening

Pruitt¹,

Leonard²,

Zhang³

et al. 2014

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background We 1) Described variability in colorectal cancer (CRC) test use across multiple levels, including physician, clinic, and neighborhood; and 2) Compared the performance of novel cross-classified vs. traditional hierarchical models. Methods We examined multilevel variation in CRC test use among patients not up-to-date with screening in a large, urban safety net health system (2011–2012). Outcomes included: 1) fecal occult blood test (FOBT) or 2) colonoscopy and were ascertained using claims data during a 1-year follow-up. We compared Bayesian 1) Cross-classified 4-level logistic models nesting patients within separate, non-overlapping “levels” (physicians, clinics, and census tracts) vs. 2) Three hierarchical 2-level models using deviance information criterion. Models adjusted for covariates (patient sociodemographic factors, driving time to clinic, and census tract poverty rate). Results Of 3,195 patients, 157 (4.9%) completed FOBT and 292 (9.1%) completed colonoscopy during the study year. Patients attended 19 clinics, saw 177 physicians, and resided in 332 census tracts. Significant variability was observed across all levels in both hierarchical and cross-classified models that was unexplained by measured covariates. For colonoscopy, variance was similar across all levels. For FOBT, physicians, followed by clinics, demonstrated the largest variability. Model fit using cross-classified models was superior or similar to 2-level hierarchical models. Conclusions Significant and substantial variability was observed across neighborhood, physician, and clinic levels in CRC test use, suggesting the importance of factors at each of these levels on CRC testing. Impact Future multilevel research and intervention should consider the simultaneous influences of multiple levels, including clinic, physician, and neighborhood.

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Use of a food frequency questionnaire in American Indian and Caucasian pregnant women: a validation study

Cited by 56 publications

References 36 publications

Dietary micronutrient intake during pregnancy is a function of carbohydrate quality

Dietary micronutrient intake during pregnancy is a function of carbohydrate quality

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

Physicians, Clinics, and Neighborhoods: Multiple Levels of Influence on Colorectal Cancer Screening

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