Background: Assessment of food intake is a cornerstone of nutritional research. However, the use of minimally validated dietary assessment methods is common and can generate misleading results. Thus, there is a need for valid, precise and cost-effective dietary assessment tools to be used in large cohort studies. The objective is to validate a newly developed automated self-administered web-based 24-h dietary recall (R24W), within a population of adults taking part in fully controlled feeding studies. Methods: Sixty two adults completed the R24W twice while being fed by our research team. Actual intakes were precisely known, thereby allowing the analysis of the proportion of adequately self-reported items. Association between offered and reported portion sizes was assessed with correlation coefficients and agreement with the kappa score while systematics biases were illustrated with Bland-Altman Plot.
These data suggest that the R24W presents an acceptable relative validity as compared with the FR for estimating usual dietary intakes in a cohort of French Canadians.
Evidence suggests that fat-free mass and resting metabolic rate (RMR), but not fat mass, are strong predictors of energy intake (EI). However, body composition and RMR do not explain the entire variance in EI, suggesting that other factors may contribute to this variance. We aimed to investigate the associations between body mass index (in kg/m), fat mass, fat-free mass, and RMR with acute (1 meal) and daily (24-h) EI and between fasting appetite ratings and certain eating behavior traits with daily EI. We also evaluated whether RMR is a predictor of the error variance in acute and daily EI. Data collected during the control condition of 7 studies conducted in Ottawa, Ontario, Canada, were included in these analyses ( = 191 and 55 for acute and daily EI, respectively). These data include RMR (indirect calorimetry), body composition (dual-energy X-ray absorptiometry), fasting appetite ratings (visual analog scales), eating behavior traits (Three-Factor Eating Questionnaire), and EI (food buffet or menu). Fat-free mass was the best predictor of acute EI ( = 0.46; < 0.0001). The combination of fasting prospective food consumption ratings and RMR was the best predictor of daily EI ( = 0.44; < 0.0001). RMR was a statistically significant positive predictor of the error variance for acute ( = 0.20; < 0.0001) and daily ( = 0.23; < 0.0001) EI. RMR did, however, remain a statistically significant predictor of acute ( = 0.32; < 0.0001) and daily ( = 0.30; < 0.0001) EI after controlling for this error variance. Our findings suggest that combined measurements of appetite ratings and RMR could be used to estimate EI in weight-stable individuals. However, greater error variance in acute and daily EI with increasing RMR values was observed. Future studies are needed to identify whether greater fluctuations in daily EI over time occur with increasing RMR values. This trial was registered at clinicaltrials.gov as NCT02653378.
BackgroundThe use of valid dietary assessment methods is crucial to analyse adherence to dietary recommendations among pregnant women. This study aims to assess the relative validity of a self-administered Web-based 24-h dietary recall, the R24W, against a pen-paper 3-day food record (FR) among pregnant women.MethodsSixty (60) pregnant women recruited at 9.3 ± 0.7 weeks of pregnancy in Quebec City completed, at each trimester, 3 R24W and a 3-day FR. Mean energy and nutrient intakes reported by both tools were compared using paired Student T-Tests. Pearson correlations were used to analyze the association between both methods. Agreement between the two methods was evaluated using cross-classification analyses, weighted kappa coefficients and Bland-Altman analyses.ResultsPearson correlation coefficients were all significant, except for vitamin B12 (r = 0.03; p = 0.83) and ranged from 0.27 to 0.76 (p < 0.05). Differences between mean intakes assessed by the R24W and the FR did not exceed 10% in 19 variables and were not significant for 16 out of 26 variables. In cross-classification analyses, the R24W ranked, on average, 79.1% of participants in the same or adjacent quartiles as the FR.ConclusionsCompared to a 3-day FR, the R24W is a valid method to assess intakes of energy and most nutrients but may be less accurate in the evaluation of intakes of fat (as a proportion of energy intake), vitamin D, zinc and folic acid. During pregnancy, the R24W was a more accurate tool at a group-level than at an individual-level and should, therefore, be used in an epidemiological rather than a clinical setting. The R24W may be particularly valuable as a tool used in cohort studies to provide valid information on pregnant women’s dietary intakes and facilitate evaluation of associations between diet and adverse pregnancy outcomes.Electronic supplementary materialThe online version of this article (10.1186/s12884-018-1741-1) contains supplementary material, which is available to authorized users.
Summary
Dietary diversity has been linked to insulin resistance; however, studies are inconsistent on whether dietary diversity protects against metabolic‐related outcomes. We aimed to comprehensively assess metabolic‐related outcomes of greater diversity across the diet and within major food groups. A systematic search of peer‐reviewed literature was done in bibliographic databases (Medline, Scopus, and Web of Science) for longitudinal studies that reported on original research. Data extraction and quality appraisal used predefined criteria; reported findings were synthesized through a narrative approach. Fourteen studies were identified as eligible. Greater dietary diversity across major food groups, and diversity within fruits and/or vegetables, was associated with reduced risk of type 2 diabetes (T2D). Effects varied based on exposure definition and adjustment for known confounders. While diversity of less healthy foods was associated with greater adiposity, diversity of all foods and healthy foods was associated with reduced incidence of depression and cognitive decline. Evidence supports the protective effect of dietary diversity against cognitive decline and T2D. The association between dietary diversity and adiposity may be dependent on the healthiness of foods. Public health efforts to prevent metabolic‐related diseases should include an emphasis on a varied diet as a healthy eating strategy.
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