N-Nitroso Compounds: Assessing Agreement between Food Frequency Questionnaires and 7-Day Food Records

Stuff, Janice E.; Goh, Eugenia Tsuei; Barrera, Stephanie L.; Bondy, Melissa L.; Forman, Michéle R.

doi:10.1016/j.jada.2009.04.006

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…The correlations of the frequencies of food groups between the two administrations (median 0.34, range 0.23–0.62) were slightly weaker than those found in other pregnant or non-pregnant populations. The Harvard Service FFQ (HSFFQ) used in low-income American Indian and Caucasian pregnant women was shown to have an average correlation coefficient of 0.35 between FFQ and 24 HR for energy-adjusted nutrient intakes [ 24 ]. The Shanghai Women’s Health Study (SWHS) reported that the correlation coefficients between its FFQ and 24 HR ranged from 0.41 to 0.66 [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

Validity and Reproducibility of a Dietary Questionnaire for Consumption Frequencies of Foods during Pregnancy in the Born in Guangzhou Cohort Study (BIGCS)

Yuan

Chen

et al. 2016

Nutrients

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This study aimed to examine the reproducibility and validity of a new food frequency questionnaire (FFQ) used in a birth cohort study to estimate the usual consumption frequencies of foods during pregnancy. The reference measure was the average of three inconsecutive 24 h diet recalls (24 HR) administrated between two FFQs, and the reproducibility was measured by repeating the first FFQ (FFQ1) approximately eight weeks later (FFQ2). A total of 210 pregnant women from the Born in Guangzhou Cohort Study (BIGCS) with full data were included in the analysis. The Spearman’s correlation coefficients of FFQ1 and FFQ2 ranged from 0.33 to 0.71. The intraclass correlation coefficients of the two FFQs ranged from 0.22 to 0.71. The Spearman’s correlation coefficients of the 24 HR and FFQ2 ranged from 0.23 to 0.62. Cross-classification analysis showed 65.1% of participants were classified into same and contiguous quintiles, while only 3.2% were misclassified into the distant quintiles. Bland-Altman methods showed good agreement for most food groups across the range of frequencies between FFQ1 and FFQ2. Our findings indicated that the reproducibility and validity of the FFQ used in BIGCS for assessing the usual consumption frequencies of foods during pregnancy were acceptable.

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Section: Discussionmentioning

confidence: 99%

Validity and Reproducibility of a Dietary Questionnaire for Consumption Frequencies of Foods during Pregnancy in the Born in Guangzhou Cohort Study (BIGCS)

Yuan

Chen

et al. 2016

Nutrients

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“…In contrast, our N-nitroso database contains more N-nitroso compounds, has a wider coverage of food sources, and is easily modified or adjusted because of the database structure. In addition, the present database was accompanied by procedures linking values from the research core database to a commonly used validated Food Frequency Questionnaire, and the modified Food Frequency Questionnaire has been validated with a large study sample of seven day food records (Stuff et al, 2009). …”

Section: Discussionmentioning

confidence: 99%

Construction of an N-nitroso database for assessing dietary intake

Stuff

Goh

Barrera

et al. 2009

Journal of Food Composition and Analysis

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Dietary N-nitroso compounds are carcinogens synthesized during food processing from two main classes of precursors, oxides of nitrogen and amines or amides. Quantification of the dietary intake of N-nitroso compounds is significant to human cancers, including those of the stomach and upper gastro-intestinal tract, colon, and brain. Previous studies investigating these cancers primarily used proxy estimates of N-nitroso intake and not a full and complete database. In this report, we describe the development of a database to be used in conjunction with a food frequency questionnaire (FFQ) or twenty-four hour dietary records. Published analytical data for N-nitroso compounds were compiled and evaluated for inclusion in the database. The final database consisted of 23 different Nnitroso compounds for 500 foods from 39 different food subgroups. Next, database foods were matched to foods in a standard FFQ by imputation, or calculated value, or assumed zero. Using the FFQ modified with N-nitroso values, we evaluated the ability to compute N-nitroso intakes for a sample of healthy control subjects of cancer epidemiological studies. N-nitroso content of food items ranged from <0.01μg/100 g. to 142 μg/100 g and the richest sources were sausage, smoked meats, bacon, and luncheon meats. The database is useful to quantify N-nitroso intake for observational and epidemiological studies.

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“…Food groups in this database consisted of those with high concentrations of NOCs such as sausage, bacon and ham, and foods with lower concentrations such as vegetables and grains (18). The validity of this database has been assessed by comparing NOCs consumption derived from the modified Block FFQ with 7-day food records in a cross-sectional study of 98 healthy controls, and findings showed modest agreement from the two methods (30).…”

Section: Calculation Of Nocs Nitrate and Nitrite Valuesmentioning

confidence: 99%

Dietary N-nitroso compounds and risk of pancreatic cancer: results from a large case–control study

et al. 2018

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N-nitroso compounds (NOCs) are among the most potent dietary and pancreatic carcinogens. N-nitrosodiethylamine (NDEA) and N-nitrosodimethylamine (NDMA) are the most prevalent NOCs identified in foods. Using a validated and comprehensive N-nitroso database developed to estimate total NOCs and important individual NOCs from food intake, we investigated dietary exposure to NOCs in relation to pancreatic cancer in a large matched case-control study. Selfadministered food frequency questionnaires were collected from 957 pathologically confirmed pancreatic ductal adenocarcinoma cases and 938 frequency-matched controls. For each food item, frequency of intake and portion size in grams was multiplied by the estimated NOC concentration from the N-nitroso database. Multiple unconditional logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CIs) for pancreatic cancer risk by quartiles of NOCs and major food group contributors to NOCs, with the lowest quartile as referent. Following adjustment for confounders, we observed significant positive associations for NDEA (OR Q4 versus Q1 = 2.28, 95% CI = 1.71-3.04, P trend < 0.0001) and NDMA from plant sources (OR Q4 versus Q1 = 1.93, 95% CI = 1.42-2.61, P trend < 0.0001) with pancreatic cancer. The major food groups related to NDEA and NDMA intakes in this population were fermented cheese, pizza, grains, seafood and beer. No associations of intake of nitrate or total NOCs were observed; nitrite was inversely associated with pancreatic cancer. Although some of our findings probably reflect reverse causation bias due to lower meat intake in cases with latent disease, biologically plausible findings for pancreatic carcinogens, NDEA and NDMA, warrant further prospective investigation.

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N-Nitroso Compounds: Assessing Agreement between Food Frequency Questionnaires and 7-Day Food Records

Cited by 11 publications

References 24 publications

Validity and Reproducibility of a Dietary Questionnaire for Consumption Frequencies of Foods during Pregnancy in the Born in Guangzhou Cohort Study (BIGCS)

Validity and Reproducibility of a Dietary Questionnaire for Consumption Frequencies of Foods during Pregnancy in the Born in Guangzhou Cohort Study (BIGCS)

Construction of an N-nitroso database for assessing dietary intake

Dietary N-nitroso compounds and risk of pancreatic cancer: results from a large case–control study

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