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Validation of a culturally appropriate quantitative food frequency questionnaire for Inuvialuit population in the Northwest Territories, Canada
Author(s) -
Pakseresht M.,
Sharma S.
Publication year - 2010
Publication title -
journal of human nutrition and dietetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.951
H-Index - 70
eISSN - 1365-277X
pISSN - 0952-3871
DOI - 10.1111/j.1365-277x.2010.01105.x
Subject(s) - medicine , quartile , micronutrient , food frequency questionnaire , concordance , population , environmental health , kappa , dietary reference intake , food group , spearman's rank correlation coefficient , demography , added sugar , nutrient , gerontology , statistics , obesity , confidence interval , mathematics , geometry , chemistry , organic chemistry , pathology , sociology
Background: The estimation of dietary intake in population‐based studies is often assessed by a food frequency questionnaire (FFQ). This present study aimed to establish the validity of a 142‐item quantitative FFQ (QFFQ) developed to assess dietary intake in a population living in the Northwest Territories, Canada, and undergoing rapid nutrition transition. Methods: Sixty‐four randomly selected Inuvialuit adults were recruited. The mean of one to three 24‐h recalls was used as the reference to measure the validity of the QFFQ. Spearman rank correlations (ρ), cross‐classification and weighted kappa were computed as measures of concordance, adjusting for the daily dietary intake variations in the recalls. Bland – Altman plots were used for additional assessment. Results: Four participants with daily energy intake of >25.1 MJ were not included in the analysis. For all nutrients, mean daily intake estimations were higher from the QFFQ than from the recalls. De‐attenuated ρ’s for macronutrients ranged from 0.33 (protein) to 0.45 (carbohydrate). The best de‐attenuated ρ amongst micronutrients was observed for vitamin C (0.53). Overall correlation between the two dietary tools improved after correction for within‐person variance (from 0.32 to 0.35). When nutrient intakes were categorised into quartiles, the QFFQ and 24‐h recalls indicated relative agreement (same or adjacent quartiles) for 77% for energy and macronutrients, 86% for total sugar and 72% for micronutrients. Bland–Altman plots showed a tendency for increased scatter of the differences at higher intakes. Conclusions: The QFFQ developed is valid and can be used to assess usual dietary intake and dietary adequacy, determine the contribution of foods to specific nutrient intakes, and identify dietary risk factors for chronic disease amongst Inuvialuit.