Validity and reliability of an online self-report 24-h dietary recall method (Intake24): a doubly labelled water study and repeated-measures analysis

Meat and dairy consumption in Scottish adults: insights from a national survey

BACKGROUND

Reducing meat and dairy consumption has been advocated for environmental benefits. This study aimed to better understand meat and dairy consumption in a population with high intakes.

METHODS

Dietary data were obtained from up to two online 24-h dietary recalls of adults (≥16 years) in the 2021 Scottish Health Survey, a nationally representative, repeated cross-sectional survey. The contribution of food groups to meat and dairy intake and the nutritional contributions of meat and milk products to intake of 28 nutrients were examined. Weighted mean (95% confidence interval [CI]) daily intakes were reported per capita, overall, and by demographic subgroups (age, gender and Scottish Index of Multiple Deprivation).

RESULTS

Mean daily intakes of total meat and dairy were 80.4 g (95% CI 77.1-83.7) and 238.6 g (95% CI 228.9-248.3) per capita, respectively. Chicken dishes, beef dishes and sandwiches were the primary contributors to meat intake, together accounting for 56.1% of meat consumed. Liquid milk accounted for 63.4% of the dairy consumed. Meat products were an important source of selenium and zinc (accounting for 26% and 25% of intake, respectively), whereas milk products were an important source of calcium (34%), iodine (38%) and vitamin A (25%).

CONCLUSIONS

Although meat and dairy consumption in Scotland is high, a number of food groups contributed to meat intake, providing several opportunities to target for a reduction in line with climate change ambitions. However, careful attention is required for replacements to ensure Scottish diets are nutritionally adequate.

Dietary patterns, malnutrition, muscle loss and sarcopenia in cancer survivors: findings from the UK Biobank

PURPOSE

To identify dietary patterns derived from protein, polyunsaturated fatty acids (PUFA) and vitamin D and examine associations with malnutrition, low muscle mass and sarcopenia in cancer survivors.

METHODS

This cross-sectional study included cancer survivors (n = 2415) from the UK Biobank (age [mean ± SD] 59.7 ± 7.1 years; 60.7% female). The Oxford WebQ 24-h dietary assessment estimated food and nutrient intakes. Reduced rank regression derived dietary patterns (response variables: protein [g/kg/day], PUFA [g/day] and vitamin D [μg/day]). Adjusted logistic regression analysis examined associations between dietary patterns and malnutrition, low muscle mass and sarcopenia.

RESULTS

Three dietary patterns were identified: (i) 'high oily fish and nuts', characterised by higher oily fish and nuts and seeds intake; (ii) 'low oily fish', characterised by lower oily fish intake and higher potato intake; and (iii) 'meat and dairy', characterised by higher intake of meat, poultry and dairy. Eighteen percent of participants were malnourished, 5% had low muscle mass and 6.5% had sarcopenia. Odds of being malnourished were significantly lower with adherence to a 'high oily fish and nuts' pattern (OR: 0.57; 95% CI: 0.50, 0.65) and 'low oily fish' pattern (OR: 0.81; 95% CI: 0.73, 0.90). The 'meat and dairy' pattern was not associated with malnutrition. No dietary patterns were associated with low muscle mass or sarcopenia.

CONCLUSIONS

Energy-rich dietary patterns were associated with lower odds of malnutrition in cancer survivors but did not influence muscle mass or sarcopenia risk.

IMPLICATIONS FOR CANCER SURVIVORS

Better understanding of dietary patterns may improve cancer-related outcomes for cancer survivors.

Exploring the link between dietary zinc intake and endometriosis risk: insights from a cross-sectional analysis of American women

BACKGROUND

Endometriosis is a complex disorder with genetic, immune, inflammatory, and multifactorial etiologies. Zinc, an essential trace element, plays a crucial role in various physiological processes. Dysregulation or deficiency of zinc can lead to aberrations in human physiology. However, the association between dietary zinc and endometriosis remains ambiguous. This study aimed to investigate the link between dietary zinc intake and endometriosis.

METHODS

Utilizing cross-sectional data from the National Health and Nutrition Examination Survey, we analyzed information from American women aged 20-54 years between 1999 and 2006. After adjusting for relevant covariates, multivariable logistic regression analysis was employed to assess correlations.

RESULTS

A total of 4315 women were included in the study. The multivariable logistic regression model revealed a positive correlation between dietary zinc intake and the risk of endometriosis, even after controlling for confounding variables. Relative to individuals with lower zinc consumption (≤ 8 mg/day), the adjusted odds ratio (OR) values for dietary zinc intake and endometriosis in the 8-14 mg/day and > 14 mg/day groups were 1.19 (95% CI: 0.92-1.54, p = 0.189) and 1.60 (95% CI: 1.12-2.27, p = 0.009), respectively.

CONCLUSIONS

Our findings suggest a positive correlation between dietary zinc intake and the prevalence of endometriosis. However, further investigations are necessary to better understand this association and explore the potential role of dietary zinc in endometriosis.

Association between dietary vitamin B6 intake and endometriosis risk: evidence from the national health and nutrition examination survey

Background

Endometriosis is a multifaceted disorder with genetic, immune, inflammatory, and multifactorial origins. Vitamin B6 serves as a pivotal coenzyme in various metabolic pathways involving lipids, hemes, nucleic acids, proteins, and carbohydrates. Dysregulation or deficiency of vitamin B6 can perturb human physiology. However, the relationship between dietary vitamin B6 and endometriosis remains elusive. This study aims to explore how dietary intake of vitamin B6 is associated with the risk of endometriosis.

Methods

Using cross-sectional data from the National Health and Nutrition Examination Survey, we analyzed information from American women aged 20-54 years between 1999 and 2006. After adjusting for relevant covariates, multivariable logistic regression analysis was employed to evaluate correlations.

Results

A total of 4,453 women were included in the study. The multiple linear regression model revealed a positive association between dietary vitamin B6 intake and the risk of endometriosis, even after controlling for confounding variables. Compared to individuals with lower vitamin B6 consumption (Q1: <0.94 mg/day), the adjusted odds ratio (OR) values for dietary vitamin B6 intake and endometriosis in Q2 (0.95-1.39 mg/day), Q3 (1.40-1.99 mg/day), and Q4 (>1.90 mg/day) were 1.22 (95% CI: 0.88-1.69, p = 0.23), 1.22 (95% CI: 0.86-1.73, p = 0. 279), and 1.51 (95% CI, 1.01-2. 24, p = 0.04), respectively.

Conclusion

Our findings suggest a positive correlation between endometriosis and dietary vitamin B6 intake. Further investigations are imperative to establish a causal relationship between dietary vitamin B6 intake and endometriosis.

The Associations between Depression and Sugar Consumption Are Mediated by Emotional Eating and Craving Control in Multi-Ethnic Young Adults

BACKGROUND/OBJECTIVES

Individuals with mental health conditions such as depression are vulnerable to poor dietary habits, potentially due to the maladaptive eating behaviors often used to regulate negative emotion. However, the specific dietary components most associated with depression, as well as the mediating roles of emotion regulation and other eating behaviors, remains ambiguous in young adults.

METHODS

For this cross-sectional evaluation, a total of 151 (86 F, 65 M; BMI: 22.0 ± 5.1 kg/m2; age: 21.4 ± 2.5 y) multi-ethnic participants (50 White, 36 Black, 60 Asian, and 5 White Hispanic) completed a digital 24-h dietary recall and self-reported measures of depressive symptoms, emotional regulation, and eating behaviors. LASSO regression was used to identify the dietary variables most associated with each subscale and to remove extraneous dietary variables, and multiple regression and mediation analyses were conducted for the remaining variables.

RESULTS

Out of >100 dietary factors included, only added sugar in the combined sample (p = 0.043), and relative sugar in females (p = 0.045), were retained and positively associated with depressive symptoms. However, the relationships between depression and added and relative sugar intake were mediated by craving control and emotional eating, respectively. Individuals with higher added sugar intake (p = 0.012-0.037), and females with higher relative sugar intake (p = 0.029-0.033), had significantly higher odds of risk for major depression disorder and the use of mental health medications.

CONCLUSIONS

Added and relative sugar intake are significantly associated with depressive symptoms in young adults, but these relationships may be mediated by facets of emotional dysregulation, such as emotional eating and craving control.

The association between dietary zinc intake and osteopenia, osteoporosis in patients with rheumatoid arthritis

BACKGROUND

Diet has been shown to be associated with rheumatoid arthritis (RA), of which osteoporosis is the most common and important complication, and zinc has been shown to inhibit the inflammatory response, but studies on the relationship between dietary zinc and osteoporosis in patients with RA are limited and inconclusive. In this study, we aimed to explore the relationship between dietary zinc intake and osteoporosis or osteopenia in patients with RA.

METHODS

Data on RA patients were derived from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2010, 2013 to 2014, and 2017 to 2020. Weighted univariate and multivariate logistic regression models were performed to explore the association between dietary zinc intake and osteoporosis or osteopenia in RA patients. The relationship was further investigated in different age, body mass index (BMI), nonsteroidal use, dyslipidemia, diabetes, and hypertension population. All results were presented as odds ratios (ORs) and confidence intervals (CIs).

RESULTS

In total, 905 RA patients aged ≥ 40 years were included. After adjusting all covariates, higher dietary zinc intake was associated with lower odds of osteopenia or osteoporosis (OR = 0.39, 95%CI: 0.18-0.86) in RA patients. The relationship between dietary zinc intake ≥ 19.52 mg and lower odds of osteopenia or osteoporosis were also found in those aged ≥ 60 years (OR = 0.38, 95%CI: 0.16-0.91), BMI normal or underweight (OR = 0.16, 95%CI: 0.03-0.84), nonsteroidal use (OR = 0.14, 95%CI: 0.02-0.82), dyslipidemia (OR = 0.40, 95%CI: 0.17-0.92), diabetes (OR = 0.37, 95%CI: 0.14-0.95), and hypertension (OR = 0.37, 95%CI: 0.16-0.86).

CONCLUSION

Higher dietary zinc intake was associated with reduced incidence of osteopenia or osteoporosis in patients with RA. Further longitudinal and randomized trials are necessary to validate our findings and explore the underling mechanisms. Adequate dietary zinc intake may beneficial to the bone health in RA patients.

An Australian Football Themed Health Behaviour Change Intervention for Men With Cardiovascular Disease is Feasible and Acceptable: Results From a Feasibility Randomised Trial

BACKGROUND

Physical activity (PA) and weight management are critical for cardiovascular disease (CVD) secondary prevention. However, PA adherence during or after cardiac rehabilitation is low. Here, we assess the feasibility and acceptability of the Australian football-themed Aussie Fans in Training (Aussie-FIT) program and associated trial procedures when adapted for men with CVD.

METHOD

A pragmatic randomised control trial, with waitlist control arm, and follow-up measures at 3 and 6 months. Men with a CVD diagnosis and body mass index ≥25 kg/m2 were recruited from community and clinical settings, and randomised, following baseline measures of health and health behaviours. The intervention arm attended 12 face-to-face football-themed education and PA sessions. Feasibility (recruitment, retention, attendance, and adherence to trial procedures) was assessed via mixed methods.

RESULTS

A total of 74% (64/86) of participants expressing interest met the eligibility criteria. Of those, 49 men (mean age=61.4, standard deviation=9.5, mean body mass index=31.3, standard deviation=4.2) were randomised. Program attendance rates (87% attended ≥80% of sessions) and retention (92%) were high. Trial retention at the primary end point (3 months) was high (86%) and at the 6-month follow-ups reduced to 67%. Program and trial procedures were acceptable, except for the request to visit a pathologist for the blood draw.

CONCLUSIONS

Using a football theme and setting may be a feasible way to engage men with CVD in health behaviour change. Given the existing pilot evidence for men at risk of CVD, and that recruitment rates were under the target, trialling a program for men with or at risk of CVD is recommended.

Energy and nutrient intake by 11-13-year-old young adolescents attending private schools in Delhi, India

There are no high-quality data on dietary behaviour of adolescents in India. This study aimed to assess the intake of energy (E), macronutrients and selected micronutrients in a sample of 11-13-year-old schoolchildren in Delhi, India. Participants from private schools (n=10) recorded dietary intake using a 3-d food diary. Information was entered into the dietary assessment tool, Intake24, to ascertain portion size and convert data into nutrient intake through integrated food tables. Of the 514 consenting participants, 393 (76·4 %) (169 girls, 224 boys) aged 11·4 (±1·8) years completed the study. The median (interquartile range (IQR) daily E intake was 2580 (2139·3-2989·8) kcal (10·8 (9·0 - 12·5) MJ) for girls and 2941·5 (2466·7-3599·3) kcal (12·3 (10·3-15·2) MJ) for boys. The median (IQR) daily nutrient intakes for girls and boys respectively were protein 64·6 (54·8-79·3) g, 74·4 (61·4; 89·4) g; carbohydrate 336·5 (285·3-393·6) g, 379·6 (317·8-461·8) g; and saturated fat 45·6 (34·8-58·3) g, 54·6 (41·9-69·5) g. There were no significant between-gender differences in percentage E from protein (10·2 (9·2-11·4)), or carbohydrate (52·4 (48·7-56·7)). Girls obtained less percentage E from saturated fat (16·1 (11·0-18·2) compared with boys 16·3 (14·2-19·1) (P < 0·05). E from saturated fat was above FAO recommendations in >74 % of participants. The estimated average requirement for iron was achieved by < 40 % of girls. In conclusion, strategies to optimise the dietary intake of adolescents in India should focus on preventing excess intakes of E and saturated fat and improving iron intake in girls.

Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study

BACKGROUND

Technology-assisted 24-h dietary recalls (24HRs) have been widely adopted in population nutrition surveillance. Evaluations of 24HRs inform improvements, but direct comparisons of 24HR methods for accuracy in reference to a measure of true intake are rarely undertaken in a single study population.

OBJECTIVES

To compare the accuracy of energy and nutrient intake estimation of 4 technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner.

METHODS

In a controlled feeding study with a crossover design, 152 participants [55% women; mean age 32 y, standard deviation (SD) 11; mean body mass index 26 kg/m2, SD 5] were randomized to 1 of 3 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day [Automated Self-Administered Dietary Assessment Tool-Australia (ASA24); Intake24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)]. When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record (mFR) app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models.

RESULTS

The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI: 0.6, 10.2%) using ASA24, 1.7% (95% CI: -2.9, 6.3%) using Intake24, 1.3% (95% CI: -1.1, 3.8%) using mFR-TA, and 15.0% (95% CI: 11.6, 18.3%) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P < 0.01) except Intake24 (P = 0.1). Differential accuracy in nutrient estimation was present among the methods.

CONCLUSIONS

Under controlled conditions, Intake24, ASA24, and mFR-TA estimated average energy and nutrient intakes with reasonable validity, but intake distributions were estimated accurately by Intake24 only (energy and protein). This study may inform considerations regarding instruments of choice in future population surveillance. This trial was registered at Australian New Zealand Clinical Trials Registry as ACTRN12621000209897.

Effect of Omega-3 fatty acid supplementation on sexual function of pregnant women: a double blind randomized controlled trial

The aim of this study was to evaluate the effect of omega-3 fatty acid supplementation on female sexual function during pregnancy. The present study was a double-blind randomized controlled clinical trial performed on 124 pregnant women (62 people in each group) at 16-22 weeks of gestation who referred to health centers in Ilam in 2020 to receive prenatal care. The intervention group received 300 mg of omega-3 supplements and the control group received placebo once a day for 8 weeks. Data collection tools in this study included a demographic questionnaire, three 24-h dietary recall (24HR), female sexual function index (FSFI), and Van den Bergh Pregnancy-Related Anxiety Questionnaire (PRAQ). Before intervention, the total score of sexual function in the intervention group and control groups, showed no statistically significant difference (P = 0.123). However, 4 and 8 weeks after intervention, the mean total score of sexual function in the intervention group was significantly higher than that of the control group after intervention (P < 0.0001). Before intervention, the total score of gestational anxiety in the intervention and control groups, showed no statistically significant difference (P = 0.149). However, 4 and 8 weeks after intervention, the mean total score of gestational anxiety in the intervention group was significantly lower than that of the control group (P < 0.0001). Based on three 24-h dietary recall, regardless of daily intake of 300 mg of omega-3 supplement, the percentage of polyunsaturated fatty acid (PUFA) intake from daily energy intake was not statistically significant between the intervention and control groups from baseline to follow-up (P > 0.01). Based on the results of this study, omega-3 supplementation could improve sexual function in pregnant women by preventing increased pregnancy anxiety. However, more studies are needed to prove the effectiveness of omega-3s on female sexual function during pregnancy. This study was approved by the Ethics Committee of Ahvaz Jundishapur University of Medical Sciences (Ref. ID: IR.AJUMS.REC.1398.935) and registered in Iranian Registry of Clinical Trials (Ref. ID: IRCT20200415047078N1).

Red and Red Processed Meat Consumption Behaviors in Scottish Adults

In 2021, 32% of adult meat consumers in Scotland exceeded the 70 g/d recommended limit of red and red processed meat (RPM) intake. We analyzed RPM consumption behaviors among adults in the Scottish Health Survey (2021) to better understand this consumer group. Consumers were categorized into low, medium, and high consumers, and overall, mean intake was 66 g/d. Males and individuals living in the most deprived areas were most likely to be high consumers (45% compared with 30% for males compared with females, respectively, and 44% compared with 32% for those in the most compared with least deprived areas, respectively). Dinners accounted for the majority of intake among high (55%) and medium (52%) consumers, whereas low consumers distributed intake between lunch (40%) and dinner (48%). Across all groups, consumption was highest on Sundays, and majority of RPM was purchased at supermarkets. Beef dishes and sandwiches were primary contributors among high and medium consumers. These insights can inform the design of effective strategies and policies aligned with meat reduction targets. For instance, strategies focusing on modifying traditional meat-centric dishes and sandwiches could be impactful.

Digital Intervention (Keep-On-Keep-Up Nutrition) to Improve Nutrition in Older Adults: Protocol for a Feasibility Randomized Controlled Trial

BACKGROUND

Digital health tools can support behavior change and allow interventions to be scalable at a minimal cost. Keep-on-Keep-up Nutrition (KOKU-Nut) is a free, tablet-based app that focuses on increasing physical activity and improving the dietary intake of older adults based on UK guidelines. The intervention targets an important research area identified as a research priority reported by the James Lind Alliance priority setting partnership for malnutrition.

OBJECTIVE

This study aims to assess the feasibility of using the digital health tool KOKU-Nut among community-dwelling older adults to inform a future randomized controlled trial. The secondary aims are to determine the acceptability, usability, preliminary effect sizes, and safety of the study and the intervention (KOKU-Nut).

METHODS

This is a feasibility randomized controlled trial. We plan to recruit a total of 36 community-dwelling older adults using purposive sampling. Participants will be randomized 1:1 to either the intervention or the control group. The intervention group will be asked to engage with KOKU-Nut 3 times a week for 12 weeks. Participants in the control group will receive a leaflet promoting a healthy lifestyle. All study participants will complete questionnaires at baseline and the end of the 12 weeks. A sample of participants will be asked to participate in an optional interview. The study will collect a range of data including anthropometry (height and weight), dietary intake (3-day food diary), physical function (grip strength and 5-times sit-to-stand), perceived quality of life (EQ-5D), usability (System Usability Scale), and safety (adverse events).

RESULTS

Data collection commenced in March 2024, and the results will be ready for publication by January 2025. Feasibility will be determined on the basis of participants' self-reported engagement with the intervention, and recruitment and retention rates and will be summarized descriptively. We will also consider the amount of missing data and assess how outcomes are related to group assignment. Acceptability will be measured using the modified treatment evaluation inventory and one-to-one semistructured interviews. Transcripts from the interviews will be analyzed using NVivo (version 12; QSR International) software using framework analysis to understand any barriers to the recruitment process, the suitability of the assessment measures, and the acceptability of the intervention and study design.

CONCLUSIONS

The study aligns with guidelines developed by the Medical Research Council for developing a complex intervention by using qualitative and quantitative research to examine the barriers of the intervention and identify potential challenges around recruitment and retention. We anticipate that these results will inform the development of a future powered randomized controlled design trial to test the true effectiveness of KOKU-Nut.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05943366; https://classic.clinicaltrials.gov/ct2/show/NCT05943366.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/50922.

Assessing Performance of Contemporary Plant-Based Diets against the UK Dietary Guidelines: Findings from the Feeding the Future (FEED) Study

Uncertainty remains about the composition of contemporary plant-based diets and whether they provide recommended nutrient intakes. We established Feeding the Future (FEED), an up-to-date online cohort of UK adults following different plant-based diets and diets containing meat and fish. We recruited 6342 participants aged 18-99 [omnivores (1562), flexitarians (1349), pescatarians (568), vegetarians (1292), and vegans (1571)] between February 2022 and December 2023, and measured diet using a food frequency questionnaire and free text. We compared personal characteristics and dietary intakes between diet groups and assessed compliance with dietary guidelines. Most participants met UK dietary recommendations for fruit and vegetables, sodium, and protein, although protein intakes were lowest among vegetarians and vegans. Omnivores did not meet the fibre recommendation and only vegans met the saturated fat recommendation. All diet groups exceeded the free sugars recommendation. Higher proportions of vegetarians and vegans were below the estimated average requirements (EARs) for zinc, iodine, selenium, and, in vegans, vitamins A and B12, whereas calcium intakes were similar across the diet groups. People following plant-based diets showed good compliance with most dietary targets, and their risk for inadequate intakes of certain nutrients might be mitigated by improved dietary choices and/or food fortification.

A Fresh Fruit and Vegetable Prescription Program for Prenatal Patients in Flint, Michigan: Baseline Food Security and Dietary Intake

Although adequate nutritional status during pregnancy is necessary to support optimal fetal development, many low-income women have poor access to fresh, high-nutrient foods. To address these challenges, a pediatric fruit and vegetable (FV) prescription program was expanded to include pregnant women, providing one prescription for fresh FVs worth 15 US dollars during each prenatal office visit for redemption at farmers'/mobile markets. This analysis describes baseline sociodemographic characteristics, food security, and dietary intake among 253 pregnant women in Flint, Michigan in 2022-23. Dietary recall data were collected and analyzed using the Automated Self-Administered 24-h Tool developed by the US National Cancer Institute, with nutrition output reported in relation to adherence to US Dietary Guidelines. Most participants (mean ± SD age 26.51 ± 4.90 years) identified as African American (53%) and were receiving publicly funded health insurance (66%). Most (75%) reported no food insecurity, yet the majority failed to meet dietary recommendations for whole grains (99.3%), vegetables (93.1%), dairy (93.1%), and fruits (69.4%). Moreover, most did not meet micronutrient recommendations through food sources, including vitamin D (100%), iron (98.6%), folic acid (98.6%), vitamin A (82.6%), calcium (68.8%), and vitamin C (62.5%). Results raise deep concerns regarding diet and nutrition among pregnant women in this US city.

Comparing self-reported energy intake using an online dietary tool with energy expenditure by an activity tracker

OBJECTIVE

The aim of this study was to compare self-reported total energy intake (TEI) collected using an online multiple-pass 24-h dietary recall tool (Intake24) with total energy expenditure (TEE) estimated from Fitbit Charge 2-improved algorithms in adults from the NoHoW trial (12-mo weight maintenance after free-living weight loss).

METHODS

Bland-Altman plots were used to assess the level of agreement between TEI and TEE at baseline and after 12 mo. The ratio of TEI to TEE was also calculated.

RESULTS

Data from 1323 participants (71% female) was included in the analysis (mean ± SD: age 45 ± 12 y, body mass index 29.7 ± 5.4 kg/m2, initial weight loss 11.5 ± 6.5 kg). The TEI was lower than TEE on average by 33%, with limits of agreement ranging from -91% to +25%. Men, younger individuals, those with higher body mass index, those with the greater weight loss before enrollment, and those who gained weight during the study underestimated to a greater extent.

CONCLUSIONS

These findings contribute to the ongoing research examining the validity of technology-based dietary assessment tools.

Estimating Amount of Food in a Circular Dining Bowl from a Single Image

Unhealthy diet is a top risk factor causing obesity and numerous chronic diseases. To help the public adopt healthy diet, nutrition scientists need user-friendly tools to conduct Dietary Assessment (DA). In recent years, new DA tools have been developed using a smartphone or a wearable device which acquires images during a meal. These images are then processed to estimate calories and nutrients of the consumed food. Although considerable progress has been made, 2D food images lack scale reference and 3D volumetric information. In addition, food must be sufficiently observable from the image. This basic condition can be met when the food is stand-alone (no food container is used) or it is contained in a shallow plate. However, the condition cannot be met easily when a bowl is used. The food is often occluded by the bowl edge, and the shape of the bowl may not be fully determined from the image. However, bowls are the most utilized food containers by billions of people in many parts of the world, especially in Asia and Africa. In this work, we propose to premeasure plates and bowls using a marked adhesive strip before a dietary study starts. This simple procedure eliminates the use of a scale reference throughout the DA study. In addition, we use mathematical models and image processing to reconstruct the bowl in 3D. Our key idea is to estimate how full the bowl is rather than how much food is (in either volume or weight) in the bowl. This idea reduces the effect of occlusion. The experimental data have shown satisfactory results of our methods which enable accurate DA studies using both plates and bowls with reduced burden on research participants.

Association between dietary folate intake and bone mineral density in a diverse population: a cross-sectional study

BACKGROUND

Osteoporosis is a major public health problem, yet the association between dietary folate intake and bone health has been rarely studied. This study aimed to investigate the relationship between dietary folate intake and bone mineral density (BMD) in the general population of the USA.

METHODS

Utilizing data from the National Health and Nutrition Examination Survey, dietary folate intake was gauged through 24-h dietary recall and BMD was determined via dual-energy X-ray absorptiometry. Multivariate linear regression models and generalized additive models were employed for correlation analysis.

RESULTS

The study incorporated 9839 participants (48.88% males, aged 20-85 years, mean age: 47.62 ± 16.22). The average dietary folate intake stood at 401.1 ± 207.9 μg/day. And the average total femur, femoral neck, trochanter, intertrochanter, and lumbar BMD were 0.98 ± 0.16 g/cm2, 0.84 ± 0.15 g/cm2, 0.73 ± 0.13 g/cm2, 1.16 ± 0.19 g/cm2, and 1.03 ± 0.15 g/cm2, respectively. The higher quartiles of dietary folate intake directly correlated with increased total femoral, femoral neck, intertrochanteric, and lumbar BMD (P for trend = 0.003, 0.016, < 0.001, and 0.033, respectively). A consistent positive association between folate intake and BMD across age groups was observed, with significant findings for individuals over 80 years and non-Hispanic whites. Physical activity level and serum 25-hydroxyvitamin D levels influenced the association, with an optimal daily folate intake of 528-569 µg recommended for postmenopausal women.

CONCLUSION

In summary, our study reveals a significant positive association between dietary folate intake and BMD, across different age groups and particularly among individuals over 80 years old. Non-Hispanic whites benefit the most from increased folate intake. Physical activity level and serum 25-hydroxyvitamin D levels interact with this association. Screening and early intervention for osteoporosis may be essential for individuals with low dietary folate intake.

Designing nutrition-sensitive agriculture (NSA) interventions with multi-criteria decision analysis (MCDA): a review

Despite the efforts to end malnutrition through intensive agriculture of caloric crops, micronutrient deficiencies and other forms of malnutrition persist in vulnerable communities worldwide. Nutrition-sensitive agriculture (NSA) interventions are recognized as chances to address the causes of malnutrition. In this work, the different types of NSA interventions were explored, as well as the pathways through which they can improve nutrition (e.g., increasing biofortified crops and income generation via agricultural sales for a positive impact on access to nutritious foods, and simultaneously involving nutrition education to improve care practices and eventually nutritional status). Some NSA interventions focus on one pathway. Well-designed interventions, however, should follow multi-pathway approaches targeting the underlying causes of undernutrition within the selected population. The circumstances in which certain indicators should be used to measure the impact of an NSA intervention in each stage of the full pathway were also explained, as well as the need of enhancing the design of such interventions. Multi-criteria decision analysis (MCDA) has been employed to solve agriculture-related issues, but it has not been used to identify the optimal types of NSA interventions, metrics, and indicators based on the context of the community, priorities and objectives of the project managers and designers, etc.

Aetiology of Type 2 diabetes in people with a 'normal' body mass index: testing the personal fat threshold hypothesis

Weight loss in overweight or obese individuals with Type 2 diabetes (T2D) can normalize hepatic fat metabolism, decrease fatty acid oversupply to β cells and restore normoglycaemia. One in six people has BMI <27 kg/m2 at diagnosis, and their T2D is assumed to have different aetiology. The Personal Fat Threshold hypothesis postulated differing individual thresholds for lipid overspill and adverse effects on β-cell function. To test this hypothesis, people with Type 2 diabetes and body mass index <27kg/m2 (n = 20) underwent repeated 5% weight loss cycles. Metabolic assessments were carried out at stable weight after each cycle and after 12 months. To determine how closely metabolic features returned to normal, 20 matched normoglycemic controls were studied once. Between baseline and 12 months: BMI fell (mean ± SD), 24.8 ± 0.4 to 22.5 ± 0.4 kg/m2 (P<0.0001) (controls: 21.5 ± 0.5); total body fat, 32.1 ± 1.5 to 27.6 ± 1.8% (P<0.0001) (24.6 ± 1.5). Liver fat content and fat export fell to normal as did fasting plasma insulin. Post-meal insulin secretion increased but remained subnormal. Sustained diabetes remission (HbA1c < 48 mmol/mol off all glucose-lowering agents) was achieved by 70% (14/20) by initial weight loss of 6.5 (5.5-10.2)%. Correction of concealed excess intra-hepatic fat reduced hepatic fat export, with recovery of β-cell function, glycaemic improvement in all and return to a non-diabetic metabolic state in the majority of this group with BMI <27 kg/m2 as previously demonstrated for overweight or obese groups. The data confirm the Personal Fat Threshold hypothesis: aetiology of Type 2 diabetes does not depend on BMI. This pathophysiological insight has major implications for management.

Applicability of a Web-based 24-hour Dietary Recall Tool for Japanese Populations in Large-scale Epidemiological Studies

BACKGROUND

Recent innovations in information and communication technology have made it possible to assess diet using web-based methods; however, their applicability in the general population remains unclear. Hence, we aimed to examine the applicability of a web-based 24-hour dietary recall (24HR) tool to large-scale epidemiological studies by determining the sampling rate and characteristics of randomly selected participants from a Japanese cohort study.

METHODS

In total, 5,013 individuals were recruited from a cohort of 21,537 individuals, and 975 agreed to participate in this study. The participants selected either self-administered web-based dietary 24HR (self-administered 24HR) or interviewer-administered telephone-based 24HR (interviewer-administered 24HR) as the method for the dietary assessment and answered questions regarding the acceptability of the system.

RESULTS

The response rate of the 975 participants was 19.4%, corresponding to approximately 4.5% of the total study sample. About half of them chose the self-administered 24HR (46.9%). The median time required for the self-administered and interviewer-administered 24HR was 25 and 27 minutes, respectively. In the self-administered 24HR, older people, regardless of sex, tended to require a longer time, and approximately 60% of the participants rated the ease of use of the system as "somewhat difficult" or "difficult."

CONCLUSION

Characteristics of the participants in this study were not systemically different from those of the entire study sample. Improvements in the approach to entering cooking details and the dish name selection may be necessary for better acceptability in order to be accepted as a self-administered dietary recall tool.

The association between hydration status and total fluid intake in healthy children and adolescents

BACKGROUND

Children 10-20 years old in the US have suboptimal hydration status. Hydration is best assessed using an objective marker, such as urine specific gravity (USG) from a 24-h urine collection. There are limited studies associating hydration from an objective marker with intake assessed from 24-h recalls in children. The objective of the study was to evaluate which foods or beverages are significantly associated with an objective marker of hydration (USG) in a sample of children and adolescents.

METHODS

Intake was assessed from three 24-h dietary recalls and analyzed using the Nutrition Data System for Research (NDSR). Hydration status was objectively measured using USG via 24-h urine collection. Associations were assessed with logistic regressions.

RESULTS

A total of 68 children and adolescents were recruited (50% females). Average overall USG score was 1.020 ± 0.011 uG with 39.7% categorized as dehydrated. After adjusting for age and sex, fruit juice (1.009, 95% CI: 1.001, 1.018) and all beverages (1.001, 95% CI: 1.000, 1.002) were significantly associated with higher odds of being euhydrated.

CONCLUSIONS

The main predictors of hydration were fruit juice and all beverages intake. Future research should be conducted to explore differences in dietary patterns in a larger, more generalizable sample.

IMPACT

Findings showed that the main predictors of hydration were water and fruit juice intake in children and water intake in adolescents in southern Florida. This is the first study to examine which type of beverages and foods are associated with USG, an objective marker of hydration status, in US children and adolescents. Provides further insight into the use of objective markers to assess hydration status, while providing data to assist epidemiological studies that may have limited resources to examine beverages and foods that contribute to hydration.

Diet After Ileostomy Study: an observational study describing dietary intake and stoma-related symptoms in people with an ileostomy

BACKGROUND

People with ileostomy are frequently advised to avoid specific foods and food groups, making it plausible that they are at risk of a range of nutrition-related adverse health consequences. Despite this there has been no recent study in the United Kingdom describing dietary intake, symptoms and food avoidance in people with ileostomy or post-reversal.

METHODS

A cross-sectional study was conducted at different time points in people with ileostomy and reversal. Participants were recruited at 6-10 weeks post-formation (n = 17) and ≥12 months with established ileostomy (n = 16) and with reversal (n = 20). In all participants, ileostomy/bowel-related symptoms in the previous week were assessed using a study-specific questionnaire. Dietary intake was assessed using three online diet recalls or 3-day dietary records. Food avoidance and reasons for food avoidance were assessed. Data were summarised using descriptive statistics.

RESULTS

Participants reported a few ileostomy/bowel-related symptoms in the previous week. However, over 85% of participants reported avoiding foods, particularly fruits and vegetables. At 6-10 weeks the most common reason was being advised to do so (71%), although 53% avoided foods due to gas. At ≥12 months the most common reasons were foods visible in the bag (60%) or advised to do so (60%). Reported intakes of most nutrients were comparable to population medians, apart from lower fibre in people with ileostomy. Intakes of free sugars and saturated fats were above recommended levels in all groups, due to high consumption of cakes and biscuits and sugar-sweetened drinks.

CONCLUSION

After the initial healing period, foods should not be automatically excluded unless found to be problematic after reintroduction. There may be a need for healthy eating advice for people with established ileostomies and post-reversal, targeting discretionary high-fat, high-sugar foods.

Longer-Term Weight Loss Outcomes Are Not Primarily Driven by Diet Following Roux-en-Y Gastric Bypass and Sleeve Gastrectomy

Metabolic and bariatric surgery (MBS) is the most effective long-term treatment for Class III obesity. Reduced dietary intake is considered a behavioral driver of post-surgical weight loss, but limited data have examined this association. Therefore, this study examined prospective, longitudinal relationships between dietary intake and weight loss over 24 months following Roux-en-Y Gastric Bypass and Sleeve Gastrectomy. Relationships between weight loss and dietary intake were examined using a validated 24-h dietary recall method. Associations between total energy/macronutrient intake and weight loss outcomes were assessed at 12-, 18-, and 24-months following MBS, defining patients as "responders" and "suboptimal responders". Consistent with previous literature, 12-month responders and suboptimal responders showed significant associations between weight loss and energy (p = 0.018), protein (p = 0.002), and total fat intake (p = 0.005). However, this study also revealed that many of these associations are no longer significant 24 months post-MBS (p > 0.05), despite consistent weight loss trends. This study suggests a short-term signal between these dietary factors and weight loss outcomes 12 months post-MBS; however, this signal does not persist beyond 12 months. These results are essential for interpreting and designing clinical studies measuring long-term post-surgical weight loss outcomes.

Macronutrient Adequacy of a Mediterranean-type Meal Examined at Recommended and Below Recommended Energy Values

Background

Mediterranean style eating pattern is regarded as among the worlds' healthiest. Numerous studies have shown that the Mediterranean eating pattern can promote weight loss, however, if combined with caloric restriction as promoted via internet sites, are inherent advantages retained or do macronutrients fall below recommended levels and if so, at which energy values does this occur?

Objective

To address this question.

Methods

We have formulated a meal which was developed from items on menus in Barcelona, Spain. Macronutrients were determined using NDSR software and the meal was assessed for carbohydrate, fat and protein content at recommended levels of 2500 and 2000 kcal/day as well as at 1600, 1200 and 800 kcal/day through control of portion sizes. Authenticity of the meal as being Mediterranean- type was verified by comparison to established standards contained in dietary guidelines for Americans as well as similarity to percent of macronutrients published in the literature.

Results

Comparison of our results to guidelines for a Mediterranean style eating pattern showed fruit, protein and oil intake to be sufficient but not so for the vegetables, grains and dairy food groups. All macronutrients reached dietary recommended amounts when analyzed at energy values of 2500 and 2000 kcal/day. Fat and carbohydrate content satisfied recommended amounts at intakes of 1600 and 1200 kcal/day but the amount of protein was insufficient at all values below 2000 kcal/day.

Conclusion

Although a Mediterranean-style eating pattern is among the healthiest, in order to maintain macronutrient adequacy, it should not be energy compromised.

Reliability estimates for assessing meal timing derived from longitudinal repeated 24-hour dietary recalls

BACKGROUND

Regulating meal timing may have efficacy for improving metabolic health for preventing or managing chronic disease. However, the reliability of measuring meal timing with commonly used dietary assessment tools needs characterization prior to investigating meal timing and health outcomes in epidemiologic studies.

OBJECTIVES

To evaluate the reliability of estimating meal timing parameters, including overnight fasting duration, the midpoint of overnight fasting time, the number of daily eating episodes, the period with the largest percentage of daily caloric intake, and late last eating episode (> 09:00 pm) from repeated 24-h dietary recalls (24HRs).

METHODS

Intraclass correlation coefficients (ICC), Light's Kappa estimates, and 95% CIs were calculated from repeated 24HR administered in 3 epidemiologic studies: The United States-based Interactive Diet and Activity Tracking in AARP (IDATA) study (n = 996, 6 24HR collected over 12-mo), German EPIC-Potsdam Validation Study (European Prospective Investigation into Cancer and Nutrition Potsdam Germany cohort) (n = 134, 12 24HR collected over 12-mo) and EPIC-Potsdam BMBF-II Study (Federal Ministry of Education and Research, "Bundesministerium für Bildung und Forschung") (n = 725, 4 24HR collected over 36 mo).

RESULTS

Measurement reliability of overnight fasting duration based on a single 24HR was "poor" in all studies [ICC range: 0.27; 95% CI: 0.23, 0.32 - 0.46; 95% CI: 0.43, 0.50]. Reliability was "moderate" with 3 24HR (ICC range: 0.53; 95% CI: 0.47, 0.58 in IDATA, 0.62; 95% CI: 0.52, 0.69 in the EPIC-Potsdam Validation Study, and 0.72; 95% CI: 0.70-0.75 in the EPIC-Potsdam BMBF-II Study). Results were similar for the midpoint of overnight fasting time and the number of eating episodes. Reliability of measuring late eating was "fair" in IDATA (Light's Kappa: 0.30; 95% CI: 0.21, 0.39) and "slight" in the EPIC-Potsdam Validation study and the EPIC-Potsdam BMBF-II study (Light's Kappa: 0.19; 95% CI: 0.15, 0.25 and 0.09; 95% CI: 0.06, 0.12, respectively). Reliability estimates differed by sex, BMI, weekday, and season of 24HR administration in some studies.

CONCLUSIONS

Our results show that ≥ 3 24HR over a 1-3-y period are required for reliable estimates of meal timing variables.

Translation of nutrigenomic research for personalised and precision nutrition for cancer prevention and for cancer survivors

Personalised and precision nutrition uses information on individual characteristics and responses to nutrients, foods and dietary patterns to develop targeted nutritional advice that is more effective in improving the diet and health of each individual. Moving away from the conventional 'one size fits all', such targeted intervention approaches may pave the way to better population health, including lower burden of non-communicable diseases. To date, most personalised and precision nutrition approaches have been focussed on tackling obesity and cardiometabolic diseases with limited efforts directed to cancer prevention and for cancer survivors. Advances in understanding the biological basis of cancer and of the role played by diet in cancer prevention and in survival after cancer diagnosis, mean that it is timely to test and to apply such personalised and precision nutrition approaches in the cancer area. This endeavour can take advantage of the enhanced understanding of interactions between dietary factors, individual genotype and the gut microbiome that impact on risk of, and survival after, cancer diagnosis. Translation of these basic research into public health action should include real-time acquisition of nutrigenomic and related data and use of AI-based data integration methods in systems approaches that can be scaled up using mobile devices.

Association of minimally processed and ultra-processed food daily consumption with obesity in overweight adults: a cross-sectional study

INTRODUCTION

food type represents higher odds of having obesity (OB), especially in overweight (OW) subjects. Minimally and ultra-processed foods can be associated with the odds of having OB in OW subjects.

OBJECTIVE

to investigate the association of minimally and ultra-processed food consumption with OB in OW adults.

METHODS

we included 15,024 participants (9,618 OW [25.0-29.9 kg/m2], 5,406 OB [≥ 30 kg/m2]) with ages ranging from 18 to 59 years from the 2019 baseline survey of the Surveillance of Risk Factors and Protection for Chronic Diseases by Telephone Survey (VIGITEL, Brazil). Minimally and ultra-processed food daily consumption scores and confounding variables (age, sex, scholarly, physical activity, hypertension, and diabetes) were measured. Binary logistic regression analyzes the association of minimally and ultra-processed food consumption scores with OB (odds ratio [OR]).

RESULTS

minimally processed food consumption score quartiles (1st = 1[food-score/day]; 2nd = 6[food-score/day]; 3rd = 7[food-score/day]; 4th = 8[food-score/day]) presented higher values compared to ultra-processed food (1st = 1[food-score/day]; 2nd = 1[food-score/day]; 3rd = 2[food-score/day]; 4th = 4[food-score/day]). For each score of minimally processed food consumed, there was a -5.9 % odds of OB. Thus, the higher quartile (4th) of minimally processed food consumption score represents less odds of OB (OR: -47.2 %; p < 0.001). Each ultra-processed food score consumed presented odds of 3.7 % of OB. Therefore, higher consumption of ultra-processed food (4th quartile) shows higher odds of OB (OR: +14.8 %; p < 0.001). All associations remained significatively even after being adjusted by the confounders.

CONCLUSION

the consumption scores of minimally processed and ultra-processed foods presented a magnitude capable of impacting OW adults' odds of OB, even when controlled by sociodemographic factors, physical activity, hypertension, and diabetes.

Hyperpalatable Foods Consumption in a Representative Sample of the General Population in Brazil: Differences of Binge and Non-Binge Eating Meals

The availability of hyper-palatable foods (HPF) increased over the past three decades worldwide, a period when eating disorders (ED) and obesity have become global public health concerns. The present study aimed to assess HPF consumption during binge and non-binge meals in a representative sample of adults with and without ED from a metropolitan city in Brazil. A total of 2297 individuals were interviewed in their homes by trained lay interviewers to assess the presence of binge eating disorder (BED), bulimia nervosa (BN), and recurrent binge eating (RBE). Information on their food consumption in objective and subjective binge eating episodes (OBE and SBE, respectively), as well as in the 24 h food recall were obtained. Individuals from the general population consumed 56% of their total calories from HPF. In non-binge meals, people with BN consumed substantially fewer calories from HPF than BED (63% vs. 48%) and RBE (63% vs. 48%) groups. During OBE, participants consumed an average of 70% of the calories from HPF, with no between-group differences. During SBE, subjects with BN consumed substantially fewer calories from HPF than those with BED (76% vs. 50%). In conclusion, HPF were highly consumed by the Brazilian population. However, there was a greater impact on BED and RBE subjects and during binge eating episodes.

Assessment of Dietary Intake in Three Cohorts of Advanced Age in Two Countries: Methodology Challenges

OBJECTIVES

Dietary intake information is key to understanding nutrition-related outcomes. Intake changes with age and some older people are at increased risk of malnutrition. Application, difficulties, and advantages of the 24-hour multiple pass recall (24hr-MPR) dietary assessment method in three cohorts of advanced age in the United Kingdom (UK) and New Zealand (NZ) is described.

PARTICIPANTS

The Newcastle 85+ study (UK) recruited a single year birth cohort of people aged 85 years during 2006-7. LiLACS NZ recruited a 10-year birth cohort of Māori (indigenous New Zealanders) aged 80-90 years and a single year birth cohort of non-Māori aged 85 years in 2010.

MEASUREMENTS

Two 24hr-MPR were conducted on non-consecutive days by trained assessors. Pictorial resources and language were adapted for the New Zealand and Māori contexts. Detailed methods are described.

RESULTS

In the Newcastle 85+ study, 805 (93%) participants consented to the 24-MPR, 95% of whom completed two 24hr-MPR; in LiLACS NZ, 218 (82%) consented and 203 (76%) Māori and 353 (90%) non-Māori completed two 24hr-MPR. Mean time to complete each 24hr-MPR was 22 minutes in the Newcastle 85+ study, and 45 minutes for Māori and 39 minutes for non-Māori in LiLACS NZ. Dietary assessment of participants residing in residential care and those requiring proxy respondents were successfully included in both studies. Most participants (83-94%) felt that data captured by the 24hr-MPR reflected their usual dietary intake.

CONCLUSIONS

Dietary assessment using 24hr-MPR was successful in capturing detailed dietary data including information on portion size and time of eating for over 1300 octogenarians in the UK and New Zealand (Māori and non- Māori). The 24hr-MPR is an acceptable method of dietary assessment in this age group.

Nutritional status, health risk behaviors, and eating habits are correlated with physical activity and exercise of brazilian older hypertensive adults: a cross-sectional study

BACKGROUND

Nutritional status, health risk behaviors, eating habits, and other comorbidities (such as diabetes) may be associated with recommended amounts of physical activity (PA) and exercise (EX) in healthy older adults. However, these associations are still unclear for older hypertensive adults, who require greater care from health professionals. The purpose of this study was to associate the nutritional status, health risk behaviors, eating habits, and the presence of diabetes with recommended amounts of physical activity and exercise practice of older hypertensive adults.

METHODS

Ten thousand seven hundred eighty-nine older hypertensive adults (70.9 ± 7.4 years) from the VIGITEL telephone survey were classified according to PA levels (insufficiently active/sufficiently active) and EX practice (non-practitioners/practitioners). Binary logistic regression was used to observe the odds ratio (OR) between independent variables (nutritional status [body mass index], sociodemographic characteristics [age/sex/years of study], risk behaviors [screen time/alcohol/tobacco consumption], eating habits [minimally/ultra-processed foods consumption score], and the presence of diabetes) with recommended amounts of PA/EX (dependent variable).

RESULTS

Highest nutritional status (OR_PA = 0.975 [95%-CI: 0.965 - 0.985]; OR_EX = 0.981[95%-CI: 0.972 - 0.991]), age (OR_PA = 0.955 [95%-CI: 0.949 - 0.961]; OR_EX = 0.980[95%-CI: 0.975 - 0.986]), screen time (OR_PA = 0.909[95%-CI: 0.835 - 0.990]), alcohol consumption (OR_PA = 0.683[95%-CI: 0.621 - 0.758]; OR_EX = 0.702[95%-CI: 0.637 - 0.779]), tobacco (OR_PA = 0.601 [95%-CI: 0.492 - 0.736]; OR_EX = 0.464[95%-CI: 0.384 - 0.562]) ultra-processed foods consumption score (OR_PA = 0.896[95%-CI: 0.871 - 0.921]; OR_EX = 0.886[95%-CI: 0.863 - 0.909]) and having diabetes (OR_PA = 0.780[95%-CI: 0.708 - 0.859]; OR_EX = 0.831[95%-CI: 0.759 - 0.909]) reduced the odds of being sufficiently active/practicing exercise (p < 0.05). Male sex (OR_PA = 1.633[95%-CI: 1.491 - 1.789]; OR_EX = 1.247[95%-CI: 1.140 - 1.363]), years of study (OR_PA = 1.026[95%-CI: 1.018 - 1.035]; OR_EX = 1.050[95%-CI: 1.041 - 1.058]), and minimally processed foods consumption score increased the odds of being sufficiently active/practicing exercise (OR_PA = 1.132[95%-CI: 1.109 - 1.155]; OR_EX = 1.167[95%-CI: 1.145 - 1.191], respectively; p < 0.05).

CONCLUSION

Nutritional status, health risk behaviors, eating habits, and the presence of diabetes were associated with the odds of older hypertensive adults complying with PA and EX recommendations. The results may help health professionals understand how these factors are associated with the changes of older hypertensive adults participating in physical activity and exercise.

Comparison between Self-Completed and Interviewer-Administered 24-Hour Dietary Recalls in Cancer Survivors: Sampling Bias and Differential Reporting

Self-completed 24 h dietary recalls (24-HRs) are increasingly used for research and national dietary surveillance. It is unclear how difficulties with self-completion affect response rates and sample characteristics. This study identified factors associated with being unable to self-complete an online 24-HR but willing to do so with an interviewer. Baseline 24-HRs from the ASCOT Trial were analysed (n = 1224). Adults who had been diagnosed with cancer in the past seven years and completed treatment, were invited to self-complete 24-HRs online using myfood24®. Non-completers were offered an interviewer-administered 24-HR. One third of participants willing to provide dietary data, were unable to self-complete a 24-HR. This was associated with being older, non-white and not educated to degree level. Compared to interviewer-administered 24-HRs, self-completed 24-HRs included 25% fewer items and reported lower intakes of energy, fat, saturated fat and sugar. This study highlights how collection of dietary data via online self-completed 24-HRs, without the provision of an alternative method, contributes to sampling bias. As dietary surveys are used for service and policy planning it is essential to widen inclusion. Optimisation of 24-HR tools might increase usability but interviewer-administered 24-HRs may be the only suitable option for some individuals.

Relative Validation of an Artificial Intelligence–Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study

Background

Thorough dietary assessment is essential to obtain accurate food and nutrient intake data yet challenging because of the limitations of current methods. Image-based methods may decrease energy underreporting and increase the validity of self-reported dietary intake. Keenoa is an image-assisted food diary that integrates artificial intelligence food recognition. We hypothesized that Keenoa is as valid for dietary assessment as the automated self-administered 24-hour recall (ASA24)–Canada and better appreciated by users.

Objective

We aimed to evaluate the relative validity of Keenoa against a 24-hour validated web-based food recall platform (ASA24) in both healthy individuals and those living with diabetes. Secondary objectives were to compare the proportion of under- and overreporters between tools and to assess the user’s appreciation of the tools.

Methods

We used a randomized crossover design, and participants completed 4 days of Keenoa food tracking and 4 days of ASA24 food recalls. The System Usability Scale was used to assess perceived ease of use. Differences in reported intakes were analyzed using 2-tailed paired t tests or Wilcoxon signed-rank test and deattenuated correlations by Spearman coefficient. Agreement and bias were determined using the Bland-Altman test. Weighted Cohen κ was used for cross-classification analysis. Energy underreporting was defined as a ratio of reported energy intake to estimated resting energy expenditure <0.9.

Results

A total of 136 participants were included (mean 46.1, SD 14.6 years; 49/136, 36% men; 31/136, 22.8% with diabetes). The average reported energy intakes (kcal/d) were 2171 (SD 553) in men with Keenoa and 2118 (SD 566) in men with ASA24 (P=.38) and, in women, 1804 (SD 404) with Keenoa and 1784 (SD 389) with ASA24 (P=.61). The overall mean difference (kcal/d) was −32 (95% CI −97 to 33), with limits of agreement of −789 to 725, indicating acceptable agreement between tools without bias. Mean reported macronutrient, calcium, potassium, and folate intakes did not significantly differ between tools. Reported fiber and iron intakes were higher, and sodium intake lower, with Keenoa than ASA24. Intakes in all macronutrients (r=0.48-0.73) and micronutrients analyzed (r=0.40-0.74) were correlated (all P<.05) between tools. Weighted Cohen κ scores ranged from 0.30 to 0.52 (all P<.001). The underreporting rate was 8.8% (12/136) with both tools. Mean System Usability Scale scores were higher for Keenoa than ASA24 (77/100, 77% vs 53/100, 53%; P<.001); 74.8% (101/135) of participants preferred Keenoa.

Conclusions

The Keenoa app showed moderate to strong relative validity against ASA24 for energy, macronutrient, and most micronutrient intakes analyzed in healthy adults and those with diabetes. Keenoa is a new, alternative tool that may facilitate the work of dietitians and nutrition researchers. The perceived ease of use may improve food-tracking adherence over longer periods.

Associations between dietary copper intake, general obesity and abdominal obesity risk: A nationwide cohort study in China

OBJECTIVE

Copper plays a crucial role in redox reactions. The aims of this research are to examine the effects of copper consumption on general obesity and abdominal obesity risk.

METHODS

Overall, data of 13,282 participants were obtained from the China Health and Nutrition Survey (1997-2011). A combination of individual 24-h recall and household survey was used to assess dietary intake. Time-dependent mixed effect Cox regression model treating family as a random effect were used to assess the associations between quintiles of copper intake, general obesity and abdominal obesity risk. Obesity was defined by BMI ≥ 28 kg/m2, and abdominal obesity was defined as waist circumference ≥85 cm in men and ≥80 cm in women.

RESULTS

During follow-up, 1,073 and 4,583 incident cases of general obesity and abdominal obesity occurred respectively. There were U-shaped associations of dietary copper intakes with general obesity and abdominal obesity (P for nonlinearity <0.001). In the general obesity track, compared with quintile 3 (reference category), participants in the top quintile and bottom quintile showed higher general obesity risk (HR, 2.00; 95%CI: 1.63, 2.45 for the top quintile, HR, 1.34; 95%CI: 1.08, 1.68 for the bottom quintile). In the abdominal obesity track, compared with quintile 3, the top quintile and bottom quintile were also associated with a significantly increased risk of abdominal obesity (HR, 1.68; 95%CI: 1.52, 1.87 for the top quintile, HR, 1.36; 95%CI: 1.22, 1.52 for the bottom quintile).

CONCLUSIONS

We demonstrated U-shaped associations between dietary copper, general and abdominal obesity risk in Chinese and emphasized the importance of maintaining appropriate copper intake level for the prevention of obesity.

A cross-sectional study on the effect of dietary zinc intake on the relationship between serum vitamin D3 and HOMA-IR

Introduction

Serum vitamin D₃ concentration is associated with the risk of insulin resistance. Zinc has also been reported to be associated with a lower risk of insulin resistance. In addition, zinc is an essential cofactor in the activation of vitamin D₃. However, the effect of dietary zinc intake on the relationship between vitamin D₃ and insulin resistance risk has not been fully studied. Therefore, we designed this cross-sectional study to assess the impact of changes in zinc intake on the relationship between vitamin D₃ and insulin resistance risk.

Study design and methods

This study analyzed data from the national Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, involving 9,545 participants. Participants were stratified by zinc intake category (low zinc intake <9.58 mg/ day; High zinc intake: ≥9.58 mg/ day).

Results

In this cross-sectional study, serum vitamin D₃ levels were independently associated with the risk of insulin resistance in both the low and high Zinc intakes (β: −0.26, 95%Cl: −0.56~0.04 vs. β: −0.56, 95%Cl: −1.01~-0.11). In addition, this association was influenced by different dietary zinc intakes (interaction P < 0.05).

Conclusions

Our results suggest that zinc intake may influence the association between serum vitamin D₃ and the risk of insulin resistance. Further randomized controlled trials are needed to provide more evidence of this finding.

Improved Wearable Devices for Dietary Assessment Using a New Camera System

An unhealthy diet is strongly linked to obesity and numerous chronic diseases. Currently, over two-thirds of American adults are overweight or obese. Although dietary assessment helps people improve nutrition and lifestyle, traditional methods for dietary assessment depend on self-report, which is inaccurate and often biased. In recent years, as electronics, information, and artificial intelligence (AI) technologies advanced rapidly, image-based objective dietary assessment using wearable electronic devices has become a powerful approach. However, research in this field has been focused on the developments of advanced algorithms to process image data. Few reports exist on the study of device hardware for the particular purpose of dietary assessment. In this work, we demonstrate that, with the current hardware design, there is a considerable risk of missing important dietary data owing to the common use of rectangular image screen and fixed camera orientation. We then present two designs of a new camera system to reduce data loss by generating circular images using rectangular image sensor chips. We also present a mechanical design that allows the camera orientation to be adjusted, adapting to differences among device wearers, such as gender, body height, and so on. Finally, we discuss the pros and cons of rectangular versus circular images with respect to information preservation and data processing using AI algorithms.

National Food Intake Assessment: Technologies to Advance Traditional Methods

National dietary surveillance produces dietary intake data used for various purposes including development and evaluation of national policies in food and nutrition. Since 2000, What We Eat in America, the dietary component of the National Health and Nutrition Examination Survey, has collected dietary data and reported on the dietary intake of the US population. Continual innovations are required to improve methods of data collection, quality, and relevance. This review article evaluates the strengths and limitations of current and newer methods in national dietary data collection, underscoring the use of technology and emerging technology applications. We offer four objectives for national dietary surveillance that serve as guiding principles in the evaluation. Moving forward, national dietary surveillance must take advantage of new technologies for their potential in enhanced efficiency and objectivity in data operations while continuing to collect accurate dietary information that is standardized, validated, and publicly transparent.

The Conceptual Framework for the International Food Policy Study: Evaluating the Population-Level Impact of Food Policy

An unhealthy diet is among the leading global causes of death and disability. Globally, a range of policies are being implemented to support healthy food choices at a population level, including novel polices in the areas of food marketing, nutrition labeling, and taxation of less healthy foods. There is a need to evaluate and inform the implementation of these policies, including their impacts on marginalized population subgroups. The International Food Policy Study (IFPS) consists of repeated cross-sectional surveys conducted in 5 high- and upper-middle-income countries: Australia, Canada, Mexico, the United Kingdom, and the United States. In each country, approximately 4000 adults and 1200 children and youth (aged 10-17) were recruited from a global commercial panel to complete an online survey using consistent measures and methodologies across countries. The first annual IFPS surveys were conducted in 2017 with adults; annual surveys for young people aged 10-17 were launched in 2019 in the same countries, as well as in Chile. The design of the IFPS surveys creates a framework for evaluating "natural experiments" in food policies, including comparisons over time within countries implementing the policy and comparisons with countries in which the policy was not implemented. IFPS surveys have 3 primary areas of focus: 1) knowledge, attitudes, and beliefs associated with specific policies; 2) diet-related behaviors; and 3) dietary intake, including 24-hour dietary recalls for adults in 4 of the 5 countries. Surveys also assess food insecurity, income adequacy, sex and gender, race/ethnicity, and a range of other measures to assess trends among priority subgroups. Overall, the IFPS project has the potential to address important gaps in national monitoring surveys for dietary patterns, and to evaluate the impacts of novel food policies implemented in any of the 5 countries over the study period.

Accuracy and cost-effectiveness of the INDDEX24 Dietary Assessment Platform in Viet Nam

Technology-enabled approaches to conducting 24-h dietary recalls (24HR) may reduce dietary assessment bottlenecks in low-resource settings. However, few studies have assessed their performance relative to conventional pen-and-paper interview (PAPI) approaches and none have validated performance against a benchmark (e.g. weighed food record (WFR)) in a low- and middle-income country (LMIC). This study assessed relative accuracy and cost-effectiveness of INDDEX24, a technology-enabled approach to conducting 24HR, compared with a PAPI approach and against an observer WFR. Women aged 18-49 years from northern Viet Nam (n 234) were randomly assigned to be interviewed using INDDEX24 or PAPI 24HR following a WFR. The two one-sided t test approach assessed the equivalence of each recall modality to the benchmark. Difference-in-differences analysis compared the recall-benchmark results across modalities. Cost per percentage point of accuracy for INDDEX24 and PAPI was derived from accuracy results and the cost to conduct the 24HR. The PAPI and INDDEX24 24HR were statistically equivalent to the WFR for all nutrients except vitamin A. INDDEX24 diverged significantly less than PAPI from the WFR for Fe (0·9 v. -1·3 mg) and PAPI diverged less for protein (-3·7 v. 7·9 g). At the individual level, 26 % of PAPI and 32 % of INDDEX24 respondents had energy intakes within +/- 10 % of the WFR. INDDEX24 cost $111 004 and the PAPI cost $120 483 (USD 2019), making INDDEX24 more cost-effective across most indicators. INDDEX24 was an accurate and cost-effective method for assessing dietary intake in the study context and represents a preferred alternative to PAPI 24HR in Viet Nam and other LMIC.

Dietary tryptophan and the risk of obesity and type 2 diabetes: Total effect and mediation effect of sleep duration

OBJECTIVE

The aims of this study were to examine the effects of tryptophan consumption on obesity and type 2 diabetes (T2D) risk and whether sleep duration mediates these effects.

METHODS

Overall, data of 7,908 participants were obtained from the China Health and Nutrition Survey (1997-2011). A total of 6,373 and 4,398 participants who reported sleep duration and had blood samples, respectively, were incorporated into subgroup analyses. Multivariate Cox regression models were used to assess the associations between tertiles of tryptophan intake with obesity and T2D. General linear regression models were used to evaluate the effect of tryptophan on sleep time and plasma biomarkers.

RESULTS

Dietary tryptophan was significantly associated with decreased risk of obesity and T2D risk (hazard ratio _{tertile 3 to tertile 1} : 0.602 [95% CI: 0.500-0.724]; 0.693 [95% CI: 0.565-0.850]). Sleep duration was significantly higher, and hemoglobin A1c, total cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B-100 (APO-B) were lower in the high tertile of tryptophan compared with the low tertile (p < 0.05). In addition, mediation effects on the associations of tryptophan intake with obesity and T2D risk were observed for sleep duration (estimated mediation percentage: 31.902% and 37.391%).

CONCLUSIONS

Dietary tryptophan showed advantageous effects on obesity and T2D risk. Furthermore, sleep duration potentially mediated for these effects.

Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study

BACKGROUND

The assessment of dietary intake underpins population nutrition surveillance and nutritional epidemiology and is essential to inform effective public health policies and programs. Technological advances in dietary assessment that use images and automated methods have the potential to improve accuracy, respondent burden, and cost; however, they need to be evaluated to inform large-scale use.

OBJECTIVE

The aim of this study is to compare the accuracy, acceptability, and cost-effectiveness of 3 technology-assisted 24-hour dietary recall (24HR) methods relative to observed intake across 3 meals.

METHODS

Using a controlled feeding study design, 24HR data collected using 3 methods will be obtained for comparison with observed intake. A total of 150 healthy adults, aged 18 to 70 years, will be recruited and will complete web-based demographic and psychosocial questionnaires and cognitive tests. Participants will attend a university study center on 3 separate days to consume breakfast, lunch, and dinner, with unobtrusive documentation of the foods and beverages consumed and their amounts. Following each feeding day, participants will complete a 24HR process using 1 of 3 methods: the Automated Self-Administered Dietary Assessment Tool, Intake24, or the Image-Assisted mobile Food Record 24-Hour Recall. The sequence of the 3 methods will be randomized, with each participant exposed to each method approximately 1 week apart. Acceptability and the preferred 24HR method will be assessed using a questionnaire. Estimates of energy, nutrient, and food group intake and portion sizes from each 24HR method will be compared with the observed intake for each day. Linear mixed models will be used, with 24HR method and method order as fixed effects, to assess differences in the 24HR methods. Reporting bias will be assessed by examining the ratios of reported 24HR intake to observed intake. Food and beverage omission and intrusion rates will be calculated, and differences by 24HR method will be assessed using chi-square tests. Psychosocial, demographic, and cognitive factors associated with energy misestimation will be evaluated using chi-square tests and multivariable logistic regression. The financial costs, time costs, and cost-effectiveness of each 24HR method will be assessed and compared using repeated measures analysis of variance tests.

RESULTS

Participant recruitment commenced in March 2021 and is planned to be completed by the end of 2021.

CONCLUSIONS

This protocol outlines the methodology of a study that will evaluate the accuracy, acceptability, and cost-effectiveness of 3 technology-enabled dietary assessment methods. This will inform the selection of dietary assessment methods in future studies on nutrition surveillance and epidemiology.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12621000209897; https://tinyurl.com/2p9fpf2s.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/32891.

Potential of existing online 24-h dietary recall tools for national dietary surveys

OBJECTIVE

To describe existing online, 24-h dietary recall (24-h DR) tools in terms of functionalities and ability to tackle challenges encountered during national dietary surveys, such as maximising response rates and collecting high-quality data from a representative sample of the population, while minimising the cost and response burden.

DESIGN

A search (from 2000 to 2019) was conducted in peer-reviewed and grey literature. For each tool, information on functionalities, validation and user usability studies, and potential adaptability for integration into a new context was collected.

SETTING

Not country-specific.

PARTICIPANTS

General population.

RESULTS

Eighteen online 24-h DR tools were identified. Most were developed in Europe, for children ≥10 years old and/or for adults. Eight followed the five multiple-pass steps but used various methodologies and features. Almost all tools (except three) validated their nutrient intake estimates, but with high heterogeneity in methodologies. User usability was not always assessed, and rarely by applying real-time methods. For researchers, eight tools developed a web platform to manage the survey and five appeared to be easily adaptable to a new context.

CONCLUSIONS

Among the eighteen online 24-h DR tools identified, the best candidates to be used in national dietary surveys should be those that were validated for their intake estimates, had confirmed user and researcher usability, and seemed sufficiently flexible to be adapted to new contexts. Regardless of the tool, adaptation to another context will still require time and funding, and this is probably the most challenging step.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App

Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18–30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired t-test were conducted. Discretionary snacks were frequently omitted by both methods (p < 0.001). Water was omitted more frequently in the app than in the camera images (p < 0.001) and 24 h recall (p < 0.001). Dairy and alternatives (p = 0.001), sugar-based products (p = 0.007), savoury sauces and condiments (p < 0.001), fats and oils (p < 0.001) and alcohol (p = 0.002) were more frequently omitted in the app than in the 24 h recall. The use of traditional self-report methods of assessing diet remains problematic even with the addition of technology and finding new objective methods that are not intrusive and are of low burden to participants remains a challenge.

The Design and Development of a Food Composition Database for an Electronic Tool to Assess Food Intake in New Caledonian Families

The food environment in New Caledonia is undergoing a transition, with movement away from traditional diets towards processed and discretionary foods and beverages. This study aimed to develop an up-to-date food composition database that could be used to analyze food and nutritional intake data of New Caledonian children and adults. Development of this database occurred in three phases: Phase 1, updating and expanding the number of food items to represent current food supply; Phase 2, refining the database items and naming and assigning portion size images for food items; Phase 3, ensuring comprehensive nutrient values for all foods, including saturated fat and total sugar. The final New Caledonian database comprised a total of 972 food items, with 40 associated food categories and 25 nutrient values and 615 items with portion size images. To improve the searchability of the database, the names of 593 food items were shortened and synonyms or alternate spelling were included for 462 foods. Once integrated into a mobile app-based multiple-pass 24-h recall tool, named iRecall.24, this country-specific food composition database would support the assessment of food and nutritional intakes of families in New Caledonia, in a cross-sectional and longitudinal manner, and with translational opportunities for use across the wider Pacific region.

Investigating sex differences in the accuracy of dietary assessment methods to measure energy intake in adults: a systematic review and meta-analysis

BACKGROUND

To inform the interpretation of dietary data in the context of sex differences in diet-disease relations, it is important to understand whether there are any sex differences in accuracy of dietary reporting.

OBJECTIVE

To quantify sex differences in self-reported total energy intake (TEI) compared with a reference measure of total energy expenditure (TEE).

METHODS

Six electronic databases were systematically searched for published original research articles between 1980 and April 2020. Studies were included if they were conducted in adult populations with measures for both females and males of self-reported TEI and TEE from doubly labeled water (DLW). Studies were screened and quality assessed independently by 2 authors. Random-effects meta-analyses were conducted to pool the mean differences between TEI and TEE for, and between, females and males, by method of dietary assessment.

RESULTS

From 1313 identified studies, 31 met the inclusion criteria. The studies collectively included information on 4518 individuals (54% females). Dietary assessment methods included 24-h recalls (n = 12, 2 with supplemental photos of food items consumed), estimated food records (EFRs; n = 11), FFQs (n = 10), weighed food records (WFRs, n = 5), and diet histories (n = 2). Meta-analyses identified underestimation of TEI by females and males, ranging from -1318 kJ/d (95% CI: -1967, -669) for FFQ to -2650 kJ/d (95% CI: -3492, -1807) for 24-h recalls for females, and from -1764 kJ/d (95% CI: -2285, -1242) for FFQ to -3438 kJ/d (95% CI: -5382, -1494) for WFR for males. There was no difference in the level of underestimation by sex, except when using EFR, for which males underestimated energy intake more than females (by 590 kJ/d, 95% CI: 35, 1,146).

CONCLUSION

Substantial underestimation of TEI across a range of dietary assessment methods was identified, similar by sex. These underestimations should be considered when assessing TEI and interpreting diet-disease relations.

A comparison of food portion size estimation methods among 11-12 year olds: 3D food models vs an online tool using food portion photos (Intake24)

Background

Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, Intake24.

Methods

11-12 year old children were recruited from secondary schools in Newcastle upon Tyne. Each pupil completed a two-day food diary followed by an interview during which pupils estimated food portion sizes using a range of 3D food models. They also completed Intake24 for the same 2 days. Bland Altman analyses were used to compare mean intake for each method.

Results

Seventy pupils completed both portion estimation methods. There was good agreement in food weight estimations between the two methods (geometric mean ratio 1.00), with limits of agreement ranging from minus 35% to plus 53%. Intake24 provided estimates of energy intake that were 1% lower on average than estimates of energy intake using the food models. Mean intakes of all macro and micronutrients using Intake24 were within 6% of the food model estimates.

Conclusions

The findings suggest that there was little difference in portion estimations from the two methods, allowing comparisons to be made between Intake24 data and food diary data collected from same age pupils using 3D food models in previous years.

Data-Driven Dietary Patterns, Nutrient Intake and Body Weight Status in a Cross-Section of Singaporean Children Aged 6-12 Years

Pattern analysis of children’s diet may provide insights into chronic disease risk in adolescence and adulthood. This study aimed to assess dietary patterns of young Singaporean children using cluster analysis. An existing dataset included 15,820 items consumed by 561 participants (aged 6–12 years) over 2 days of dietary recall. Thirty-seven food groups were defined and expressed as a percentage contribution of total energy. Dietary patterns were identified using k-means cluster analysis. Three clusters were identified, “Western”, “Convenience” and “Local/hawker”, none of which were defined by more prudent dietary choices. The “Convenience” cluster group had the lowest total energy intake (mean 85.8 ± SD 25.3% of Average Requirement for Energy) compared to the other groups (95.4 ± 25.9% for “Western” and 93.4 ± 25.3% for “Local/hawker”, p < 0.001) but also had the lowest calcium intake (66.3 ± 34.7% of Recommended Dietary Allowance), similar to intake in the “Local/hawker” group (69.5 ± 38.9%) but less than the “Western” group (82.8 ± 36.1%, p < 0.001). These findings highlight the need for longitudinal analysis of dietary habit in younger Singaporeans in order to better define public health messaging targeted at reducing risk of major noncommunicable disease.

Gluten intake and metabolic health: conflicting findings from the UK Biobank

PURPOSE

The impact of gluten intake on metabolic health in subjects without celiac disease is unclear. The present study aimed to assess the association between gluten intake and body fat percentage (primary objective), as well as a broad set of metabolic health markers.

METHODS

Gluten intake was estimated in 39,927 participants of the UK Biobank who completed a dietary questionnaire for assessment of previous 24-h dietary intakes. Multiple linear regression analyses were performed between gluten intake and markers of metabolic health with Holm adjustment for multiple comparisons.

RESULTS

Median gluten intake was 9.7 g/day (male: 11.7 g/day; female: 8.2 g/day; p < 0.0001). In multiple linear regression analysis, association between gluten intake and percentage body fat was negative in males (β = - 0.028, p = 0.0020) and positive in females (β = 0.025, p = 0.0028). Furthermore, gluten intake was a negative predictor of total cholesterol (male: β = - 0.031, p = 0.0154; female: β = - 0.050, p < 0.0001), high-density lipoprotein cholesterol (male: β = - 0.052, p < 0.0001; female: β = - 0.068, p < 0.0001), and glomerular filtration rate (sexes combined: β = - 0.031, p < 0.0001) in both sexes. In females only, gluten intake was positively associated with waist circumference (β = 0.041, p < 0.0001), waist-to-height ratio (β = 0.040, p < 0.0001), as well as body mass index (β = 0.043, p < 0.0001), and negatively related to low-density lipoprotein cholesterol (β = - 0.035, p = 0.0011). A positive association between gluten intake and triglycerides was observed in males only (β = 0.043, p = 0.0001).

CONCLUSION

This study indicates that gluten intake is associated with markers of metabolic health. However, all associations are weak and not clinically meaningful. Limiting gluten intake is unlikely to provide metabolic health benefits for a population in total.