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Objective: To (i) describe the adaptation of the Short Food Survey (SFS) for assessing the dietary intake of children (2-5 years) during attendance at Early Childhood Education and Care (SFS-ECEC); (ii) determine the acceptability and feasibility of the SFS-ECEC; and (iii) compare the SFS-ECEC to direct observations for assessing dietary intake of children in care., Design: The adapted forty-seven-item SFS-ECEC was completed by childcare educators to capture individual child's usual intake over the past month. Acceptability and feasibility were assessed via educator self-report and completion rates. Mean servings of food groups consumed in accordance with dietary guidelines reported in the SFS-ECEC were compared to those obtained by a single-day direct observation via visual estimation conducted by trained personnel. Mean differences, intra-class correlations, Bland-Altman plots, percentage agreement and Cohen's κ were examined., Setting: Early Childhood Education and Care, NSW, Australia., Participants: Educators and children., Results: 213 (98·61 %) SFS-ECECs were returned. Acceptability was high with 86·54 % of educators reporting the tool as easy to understand. Mean differences in servings of food groups between the SFS-ECEC and direct observation were statistically significantly different for five out of six foods and ranged 0·08-1·07, with intra-class correlations ranging 0·00-0·21. Agreement between the methods in the classification of children meeting or not meeting dietary guidelines ranged 42·78-93·01 %, with Cohen's κ ranging -0·03 to 0·14., Conclusions: The SFS-ECEC is acceptable and feasible for completion by childcare educators. While tool refinement and further validation is warranted, small mean differences suggest the tool may be useful in estimating group-level intakes.

The aim of this study was to assess the relative validity and reproducibility of a six-item Australian Short Dietary Screener (Aus-SDS). The Aus-SDS assessed the daily intake of core food groups (vegetables, fruits, legumes and beans, cereals, protein sources and dairy sources) in 100 Australians (52 males and 48 females) aged ≥70 years. Relative validity was assessed by comparing intakes from the Aus-SDS1 with an average of three 24-hour recalls (24-HRs), and reproducibility using two administrations of the Aus-SDS (Aus-SDS1 and Aus-SDS2). Cohen's kappa statistic between the Aus-SDS1 and 24-HRs showed moderate to good agreement, ranging from 0.44 for fruits and dairy to 0.64 for protein. There was poor agreement for legume intake (0.12). Bland-Altman plots demonstrated acceptable limits of agreement between the Aus-SDS1 and 24-HRs for all food groups. Median intakes obtained from Aus-SDS1 and Aus-SDS2 did not differ. For all food groups, Cohen's kappa statistic ranged from 0.68 to 0.89, indicating acceptable agreement between the Aus-SDS1 and Aus-SDS2. Spearman's correlation coefficient between Aus-SDS1 and 24-HRs across all food groups ranged from 0.64 for fruit to 0.83 for protein. We found the Aus-SDS to be a useful tool in assessing daily intake of core food groups in this population., Competing Interests: Sophia Zoungas reports payment to institution (Monash University)—Eli Lilly Australia Ltd., Boehringer-Ingelheim, MSD Australia, AstraZeneca, Novo Nordisk, Sanofi, Servier, outside the submitted work. All other authors have no conflicts of interest to declare in relation to the present work.

(1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or t -tests, correlation coefficients and Bland⁻Altman plots assessed agreement between the two methods for energy and percentage energy from nutrients (%E). (3) Results: One hundred and eighty nine of 216 participants (54% females, 60% resided in higher socioeconomic areas, 49% university-educated) completed the study. There were significant differences in median energy intake between methods ( p < 0.001), but the EaT app had acceptable agreement for most nutrient densities at the group level. Correlation coefficients ranged from r = 0.56 (%E fat) to 0.82 (%E sugars), and between 85% and 94% of participants were cross-classified into the same or adjacent quartiles. Bland⁻Altman plots showed wide limits of agreement but no obvious biases for nutrient densities except carbohydrate in males. (4) Conclusions: The EaT app can be used to assess group nutrient densities in a general population of 18-to-30-year olds.

Suboptimal nutrition has been largely associated with poorer perinatal outcomes. However, an inability to compare data between biologically and geographically diverse cohorts has complicated determination of the role of diet in such conditions. The aim of this paper is to describe the design, development, and evaluation of the Maternal Outcomes and Nutrition Tool (MONT), a novel cross-cultural digital dietary data collection tool. The tool was modelled on previously validated food frequency questionnaires and designed for exclusive administration in the digital environment, featuring minimal language and emphasis on images. Participants were recruited by both passive and active means. A total of 502 women were recruited; descriptive statistics were used to describe the cohort. Pregnant women constituted the majority of subjects recruited (n = 376, 74.9%), 63% of which were nulliparous. Women were recruited from 13 ethnicities and 20 countries of birth. Of the 341 women who commenced the surveys (68%), 114 submitted complete datasets (33.5%). Maintenance and recruitment costs equated to $5.64 per completion. Total processing and analysis time for the pilot dataset equated to 12 s per survey. The MONT was used successfully by women from a variety of continents and cultures and proved to be practical and economical in terms resource management., (© 2018 John Wiley & Sons Ltd.)

Objectives: To evaluate the relative validity of the diet history questionnaire (DHQ) used in the Concord Health and Ageing in Men Project (CHAMP) against a four-day weighed food record (4dWFR) as the reference method., Design and Measurements: Detailed DHQ followed by a 4dWFR were completed between July 2012 and October of 2013., Setting: Burwood, Canada Bay and Strathfield in Sydney, Australia., Participants: Fifty six community- dwelling men aged 75 years and over (mean=79 years)., Results: DHQ estimates of intakes were generally higher than estimates from 4dWFR. Differences between the two methods were generally less than 20% with the exception of β-carotene (37%). Fixed and proportional biases were only present for retinol, β-carotene, magnesium, phosphorus and percentage of energy from protein; however, 95% limits of agreement were in some cases wide. Pearson correlation coefficient of log-transformed unadjusted values ranged from 0.15 (zinc) to 0.70 (alcohol), and from 0.06 (iron) to 0.63 (thiamin) after energy-adjustment. Spearman's correlation coefficients ranged from 0.16 (zinc) to 0.80 (alcohol) before energy adjustment, and from 0.15(zinc) to 0.81(alcohol) after energy adjustment., Conclusion: Our findings suggest that the DHQ used in CHAMP to measure the nutritional intake of its participants is appropriate to this age group and provides reasonably similar results to the 4dWFR for the majority of nutrients analysed.

Background: Short food frequency questionnaires (FFQs) are powerful screening instruments for estimating nutrient intakes and play an important role in risk stratification in vulnerable populations. Omega-3 fatty acids are of increasing importance in the prevention of chronic and degenerative disease, especially in older adults who are at higher risk of these chronic conditions. A short FFQ exists to rapidly assess omega-3 intake from marine sources, however it has not previously been validated for agreement with total omega-3 intake and ability to identify suboptimal omega-3 intakes in older adults or for use in Australia., Objective: The aim of the study was to validate a 9-item marine omega-3 FFQ (MFQ) for assessment of omega-3 intake against a validated 74-item semiquantitative FFQ., Methods: One hundred and eight participants (mean age 67 ± 10 years, 47% male) completed the MFQ designed to estimate omega-3 intake from marine sources and the 74-item FFQ designed to estimate usual omega-3 and total energy intake in addition to other nutrients. To test agreement between the two questionnaires for estimating total omega-3 intake, mean bias and 95% limits of agreement (LOA) were calculated. Sensitivity and specificity were assessed using 2 × 2 contingency tables based on whether participants did or did not meet National Heart Foundation (NHF) recommendations for omega-3 intake per day., Results: Mean intake of omega-3 estimated from the MFQ was 210 ± 235 mg/day compared with 295 ± 260 mg/day as estimated by the FFQ. Mean bias (95% LOA) for omega-3 assessed by the two questionnaires was 89 mg/day (-475 mg to 653 mg). The MFQ achieved 98% sensitivity and 31% specificity for the omega-3 cut-off of 500 mg/day. When nutrient composition of the marine products were replaced with Australian data, mean intake of omega-3 was 230 ± 253 mg and the mean bias improved to 64 mg (-681 mg to 553 mg) and achieved 93% sensitivity and 40% specificity., Conclusions: The MFQ shows promise as a rapid screening tool for identifying older adults with intakes of omega-3 fatty acids likely to be below recommendations for chronic and degenerative disease risk reduction. Given the clinically meaningful mean bias and wide LOA, it cannot be recommended as an appropriate tool for the purpose of reporting average intake of individuals. Use of Australian nutrient data improved the mean bias of the tool in estimating total omega-3 intake. The values should be replaced and the MFQ could then be a useful tool for research purposes at the population level.

Objective: To assess the reliability and relative validity of a diet index score derived from a Short Food Survey (SFS)., Design: The thirty-eight-item SFS was designed to assess recent dietary intake of 4-11-year-olds to enable calculation of the Dietary Guideline Index for Children and Adolescents. Reliability was assessed based on two online administrations of the SFS, one week apart. Relative validity was assessed by comparing intakes derived from the SFS with those from the mean of three 24 h recalls. Intra-class correlations, Bland-Altman plots and estimated biases were assessed. Cohen's κ coefficients were used to determine the level of agreement between the two methods., Setting: Adelaide, Australia., Subjects: Sixty-three parents reported on their children's intake (mean age 7·1 (sd 2·1) years)., Results: The intra-class correlation for reliability ranged from 0·43 for dairy foods to 0·94 for beverages, and was 0·92 for total diet index score (all P < 0·01). The intra-class correlation for validity ranged from 0·04 for meat and alternatives to 0·41-0·44 for fruit, beverages and extra foods, and was 0·44 for the total diet index score. The SFS overestimated the mean diet index score by 16 %, and the bias was consistent across levels of compliance. The percentage agreement into tertiles of index scores was 84% between the administrations of the two SFS, but only 43 % when comparing the SFS with the mean of the recalls., Conclusions: The SFS can provide a consistent estimate of overall compliance to dietary guidelines for children aged 4-11 years, but overestimated the total diet index score by 16 % across all levels of compliance.