Validity of the assessment of dietary intake: problems of misreporting

Impact of physical activity on caloric and macronutrient intake in children and adolescents: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Physical activity is widely promoted to maintain and improve health across all ages. Investigating how physical activity affects subsequent food intake provides insight into the factors that contribute to maintaining energy balance and effective weight management.

OBJECTIVE

This systematic review and meta-analysis summarizes the evidence on the effect of acute physical activity on subsequent food intake in children and adolescents.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA) were applied. Randomized controlled trials (RCTs) objectively measuring post-exercise energy intake in children and adolescents aged 5 to 18 years were included. Studies with self-reported food intake were excluded. The databases PubMed, Web of Science and Cochrane Library were searched for RCTs, and the data were summarized at a qualitative and quantitative level. Version 2 of the Cochrane risk-of-bias tool for randomized trials was used to assess risk of bias. Changes in energy intake were examined with random effects meta-analysis. (PROSPERO: CRD42022324259).

RESULTS

Out of 9582 studies, 22 RCTs with cross-over design remained eligible for meta-analysis. The primary outcome was post-intervention energy intake up to the next 24 h. Heterogeneity of studies was moderate, with an I2 of 57%. The median (interquartile range, IQR) energy expended while exercising was 240 (158) kcal. Meta-analysis of 41 study arms (exercise n = 780 and control n = 478) showed no differences in total energy intake between the exercise and control group with a mean difference MD = 23.31 [-27.54, 74.15] kcal. No subgroup differences were found. Macronutrient intake and appetite sensations where not substantially affected.

CONCLUSION

Engaging in exercise is a suitable means of raising activity-induced energy expenditure, without causing any noticeable changes in food intake or hunger within a single day.

Obesity treatment-associated transfer of exercise-related self-regulation to eating-related self-regulation changes in women

Obesity in the United States has risen to 42 percent of its adult population and is similarly problematic in many other countries. Although the U.S. government has provided education on healthy eating and the need to exercise regularly, behavioral obesity treatments have largely failed to sustain reductions in weight. Self-regulation, and the incorporation of exercise for its psychological impacts on eating, has sometimes been targeted. While there has been sporadic investigation into the carry-over of exercise-related self-regulation to eating-related self-regulation, the present aim is to further inquiry in that area to inform future treatment content for improved effects. Women enrolled in community-based obesity treatments with either a self-regulation (n = 106) or education (n = 54) focus were assessed on changes in exercise- and eating-related self-regulation, negative mood, completed exercise, and weight. Improvements were significantly greater in the self-regulation-focused group. After controlling for initial change in eating-related self-regulation, change in that measure from Month 3 to 6 was significantly predicted by change in exercise-related self-regulation during the initial 3 treatment months. This suggested a carry-over effect. A stronger predictive relationship was associated with the self-regulation-focused treatment. In further analyses, paths from changes in exercise→negative mood→self-regulation of both exercise and eating were significant. Increase in eating-related self-regulation was significantly associated with weight loss over 6, 12, and 24 months. The self-regulation-focused group had stronger relationships, again. Findings suggested utility in targeting exercise-related self-regulation to impact later change in eating-related self-regulation, and the use of exercise-associated mood improvement to bolster participants' self-regulation capabilities.

Relationship of increased fruit/vegetable intake with reduced consumption of sweets: Psychological mechanisms and associated weight loss in women within behavioral obesity treatments

Although an increase in fruit and vegetable (FV) consumption in adults might result in reductions in their intake of sweets, there has been minimal direct testing of this. Women participated in 6-month community-based obesity treatment conditions where either their psychological skills development (n = 66) or knowledge regarding healthful eating and exercise (n = 39) was emphasized. Improvements in FV and sweets intake, eating-related self-regulation, self-efficacy for controlled eating, and negative mood were significantly more pronounced in the psychological skills group participants. Together, participants' change in self-regulation, self-efficacy, and mood significantly mediated the relationship of their changes in FV and sweets. Within simple mediation analyses, participants' changes in self-efficacy and negative mood were significant mediators, and their treatment group membership moderated effects on sweets. We provided suggestions for future treatments based on the present findings.

Shades and shifts in flexitarian and meat-oriented consumer profiles in a German panel study

Consumers' growing awareness of the adverse effects of high meat consumption has led to increased attention to flexitarian or meat-reduced diets. However, most flexitarians do not significantly reduce their meat consumption and still eat many meat-based meals. This study aims to classify the large and heterogeneous consumer group of flexitarians into different profiles based on attitudinal, normative, and control beliefs about meat reduction. Being aware that consumer profiles can change over time, this study explores the dynamics of the identified profiles using a two-wave panel survey of 430 German consumers. Latent profile analysis revealed distinct flexitarian and meat-oriented consumer profiles, including three stable profiles and one non-stable profile across both waves. The findings indicate that flexitarian and meat-oriented consumer profiles differ significantly in their belief structure about meat reduction and that consumers can switch back and forth to other profiles over time. Practitioners should be aware of changes in the belief structure of flexitarian and meat-oriented consumer profiles when developing meat reduction interventions. Further research is needed to understand the reasons behind these profile shifts.

Beneficial Effects of Multi-Micronutrient Supplementation with Collagen Peptides on Global Wrinkles, Skin Elasticity and Appearance in Healthy Female Subjects

INTRODUCTION

With ageing, collagen production slows down, leading to wrinkle appearance and loss of elasticity. Replenishing key structural molecules through oral supplementation is a promising strategy that complements the topical delivery of cosmetic products and creates a holistic skincare regimen. The present study assessed the effectiveness of a food supplement with collagen peptides, vitamins and minerals in improving the quality of the skin and general wellbeing of healthy women.

METHODS

This was an open-label study of 135 women aged between 45 and 65 years. A 3-month treatment phase followed a 4-week washout phase, with visits scheduled at baseline and after each month of treatment. Subjects received three tablets of Richelet Skin Renewal daily. The primary outcome was change from baseline to month 3 in global wrinkles score by expert grader analysis. Secondary outcomes included changes in skin elasticity and other skin attributes, product assessment via self-perception questionnaires and total antioxidant status.

RESULTS

A total of 116 subjects completed the study. The mean global wrinkles score indicated a statistically significant decrease from 5.9 at baseline to 5.0 at month 3 (p < 0.0001), with 83.6% of subjects showing an improvement; significant changes were reported at all intermediate visits. The increase in skin elasticity was also statistically significant (R2 score 0.74 at month 3; p < 0.0001). All subjects (100%) demonstrated significant improvements in skin texture, skin tone evenness, skin radiance and overall skin quality at the month 3 visit.

CONCLUSIONS

The study product achieved statistically significant, noticeable effects on global wrinkles, skin elasticity and a range of skin attributes after 3 months of use in healthy women. These results strengthen the evidence for supplementation of collagen peptides and other micronutrients as an effective component of anti-ageing skincare.

Behavioral and Psychosocial Mediators of the Effects of Increased Self-Regulation on Short- and Long-Term Weight Loss in Women Within Community-Based Obesity Treatments

The aim of this study was to evaluate behavioral mediators of relationships between increased self-regulation of eating and weight loss so that findings on psychosocial correlates of treatment-associated weight change could be extended. Participants were women enrolled in 6-month community-based obesity treatments using primarily self-regulatory (SR-treatment, n = 52) or education-focused (Didactic training, n = 54) methods. Changes from baseline in self-regulation of eating, self-efficacy for controlled eating, emotional eating propensity, exercise, and the diet were first calculated. There were significant overall improvements in each psychosocial and behavioral measure, and weight. Except for emotional eating change from baseline-Month 12, improvements were each significantly greater in the SR-treatment group. Mediation of the relationships of change in self-regulation with 6-, 12-, and 24-month weight changes, by changes in self-efficacy and emotional eating, were significant, R2s = .19-.26, ps < .001. Only changes in emotional eating over 6 and 12 months were significant mediators. Mediations of the same self-regulation-weight change relationships by changes in exercise and the diet were also significant, R2s = .19-.28, ps < .001, and only changes in exercise over 12 and 24 months were significant mediators. Although group membership did not moderate effects on weight, substitution of sweets for the (composite) diet demonstrated it to be a significant mediator over 6 and 12 months. In women with obesity, self-regulation improvement was associated with short- and longer-term weight loss through changes in emotional eating, exercise, and sweets consumption. Thus, behavioral treatments will benefit from targeting those variables.

Temporal Aspects of Psychosocial Mediators of the Exercise-Weight Loss Maintenance Relationship Within Scalable Behavior-Change Treatments

STUDY BACKGROUND

Limited knowledge of psychological correlates of weight loss is associated with continuing failures of behavioral obesity treatments beyond the short term.

PURPOSE

This study aimed to inform health professionals' obesity interventions via an increased knowledge of mediators of the exercise-weight loss maintenance relationship.

METHODS

Women participated in 6-month obesity treatments within community settings emphasizing moderate exercise and self-regulation skills development via primarily in-person (n = 54) or primarily written (n = 54) means. Changes in mood, self-regulating eating, and weight over 6, 12, and 24 months were assessed. A moderated mediation model was tested using the PROCESS macro instruction.

RESULTS

Improvements in mood, self-regulating eating, and weight were significantly greater in the in-person group. The relationship between a dichotomous measure of completing at least 3 sessions of exercise per week (or not) and change in weight over 6 months was no longer significant when the mediators of changes in negative mood and self-regulation of eating were sequentially entered. Paths of exercise→negative mood reduction→eating self-regulation increase→weight loss over 6, 12 and 24 months were significant. Exercise self-regulation at Month 3 significantly moderated the mood change→eating self-regulation change relationship.

CONCLUSIONS

Based on the identified paths, scalable obesity-treatment content and emphases were informed. This could help guide health professionals' actions concerning the management of obesity.

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning

In this paper, we propose an amount estimation method for food intake based on both color and depth images. Two pairs of color and depth images are captured pre- and post-meals. The pre- and post-meal color images are employed to detect food types and food existence regions using Mask R-CNN. The post-meal color image is spatially transformed to match the food region locations between the pre- and post-meal color images. The same transformation is also performed on the post-meal depth image. The pixel values of the post-meal depth image are compensated to reflect 3D position changes caused by the image transformation. In both the pre- and post-meal depth images, a space volume for each food region is calculated by dividing the space between the food surfaces and the camera into multiple tetrahedra. The food intake amounts are estimated as the difference in space volumes calculated from the pre- and post-meal depth images. From the simulation results, we verify that the proposed method estimates the food intake amount with an error of up to 2.2%.

An explanation for the accuracy of sensor-based measures of energy intake: Amount of food consumed matters more than dietary composition

Understanding and intervening on eating behavior often necessitates measurement of energy intake (EI); however, commonly utilized and widely accepted methods vary in accuracy and place significant burden on users (e.g., food diaries), or are costly to implement (e.g., doubly labeled water). Thus, researchers have sought to leverage inexpensive and low-burden technologies such as wearable sensors for EI estimation. Paradoxically, one such methodology that estimates EI via smartwatch-based bite counting has demonstrated high accuracy in laboratory and free-living studies, despite only measuring the amount, not the composition, of food consumed. This secondary analysis sought to further explore this phenomenon by evaluating the degree to which EI can be explained by a sensor-based estimate of the amount consumed versus the energy density (ED) of the food consumed. Data were collected from 82 adults in free-living conditions (51.2% female, 31.7% racial and/or ethnic minority; Mage = 33.5, SD = 14.7) who wore a bite counter device on their wrist and used smartphone app to implement the Remote Food Photography Method (RFPM) to assess EI and ED for two weeks. Bite-based estimates of EI were generated via a previously validated algorithm. At a per-meal level, linear mixed effect models indicated that bite-based EI estimates accounted for 23.4% of the variance in RFPM-measured EI, while ED and presence of a beverage accounted for only 0.2% and 0.1% of the variance, respectively. For full days of intake, bite-based EI estimates and ED accounted for 41.5% and 0.2% of the variance, respectively. These results help to explain the viability of sensor-based EI estimation even in the absence of information about dietary composition.

Microbiome-based correction for random errors in nutrient profiles derived from self-reported dietary assessments

Since dietary intake is challenging to directly measure in large-scale cohort studies, we often rely on self-reported instruments (e.g., food frequency questionnaires, 24-hour recalls, and diet records) developed in nutritional epidemiology. Those self-reported instruments are prone to measurement errors, which can lead to inaccuracies in the calculation of nutrient profiles. Currently, few computational methods exist to address this problem. In the present study, we introduce a deep-learning approach --- Microbiome-based nutrient profile corrector (METRIC), which leverages gut microbial compositions to correct random errors in self-reported dietary assessments using 24-hour recalls or diet records. We demonstrate the excellent performance of METRIC in minimizing the simulated random errors, particularly for nutrients metabolized by gut bacteria in both synthetic and three real-world datasets. Further research is warranted to examine the utility of METRIC to correct actual measurement errors in self-reported dietary assessment instruments.

Development and validation of a food frequency questionnaire in adult Saudi subjects in Jeddah city

BACKGROUND AND AIMS

In Saudi Arabia, very limited studies have been conducted to evaluate the validity of culturally appropriate food frequency questionnaire (FFQ). The aim of this study was to validate a newly designed FFQ against two reference methods in Saudi adults.

METHODS

A new FFQ adapted from the Block FFQ was completed via interview and validated against three-day food records (3DFRs; n = 126) and 24-hour urinary urea nitrogen (UUN)-based protein intake estimates (n = 118) in adult Saudis living in Jeddah. FFQ-estimated nutrient intake was compared to the 3DFR and UUN methods using Pearson's correlations (r), Bland-Altman plots, and weighted kappa (κw) statistics.

RESULTS

This study included 126 participants (80 females and 46 males). The FFQ generally overreported nutrient intakes compared to the reference methods. The FFQ was strongly correlated with 3DFRs for energy, protein, carbohydrate, and total fat (r > 0.7); moderately correlated with cholesterol (r = 0.55) and iron (r = 0.44); and weakly correlated with the other micronutrients (r = 0.1-0.3). A moderate positive correlation for protein intake was found (r = 0.62) between the FFQ and 24-hour UUN method. The Bland-Altman analysis indicated the FFQ had an acceptable level of agreement with no significant proportional bias (P > 0.05) with the 3DFRs for energy, protein, total fat, and iron and with protein intake. Similarly, an acceptable level of agreement was found between the FFQ and the 24-hour UUN method for estimating protein intake. Cross-classification analysis showed that ≥ 50% of participants were ranked within the same quartile for energy, protein, and total fat. The FFQ showed good agreement with the 3DFRs for energy and protein (κw ≥ 0.61) and acceptable agreement with protein intake. An acceptable agreement was reported between the FFQ and 24-hour UUN method (κw = 0.56). Separate analyses of females and males showed stronger correlations and agreements between the FFQ and the two reference methods only in females.

CONCLUSION

The developed FFQ is an effective and valid tool for assessing dietary intake in Saudi adults. However, it still requires future optimization to improve its validity.

Comparing Self-Reported Dietary Intake to Provided Diet during a Randomized Controlled Feeding Intervention: A Pilot Study

Systematic and random errors based on self-reported diet may bias estimates of dietary intake. The objective of this pilot study was to describe errors in self-reported dietary intake by comparing 24 h dietary recalls to provided menu items in a controlled feeding study. This feeding study was a parallel randomized block design consisting of a standard diet (STD; 15% protein, 50% carbohydrate, 35% fat) followed by either a high-fat (HF; 15% protein, 25% carbohydrate, 60% fat) or a high-carbohydrate (HC; 15% protein, 75% carbohydrate, 10% fat) diet. During the intervention, participants reported dietary intake in 24 h recalls. Participants included 12 males (seven HC, five HF) and 12 females (six HC, six HF). The Nutrition Data System for Research was utilized to quantify energy, macronutrients, and serving size of food groups. Statistical analyses assessed differences in 24 h dietary recalls vs. provided menu items, considering intervention type (STD vs. HF vs. HC) (Student's t-test). Caloric intake was consistent between self-reported intake and provided meals. Participants in the HF diet underreported energy-adjusted dietary fat and participants in the HC diet underreported energy-adjusted dietary carbohydrates. Energy-adjusted protein intake was overreported in each dietary intervention, specifically overreporting beef and poultry. Classifying misreported dietary components can lead to strategies to mitigate self-report errors for accurate dietary assessment.

Assessing sugar-sweetened beverage consumption in early pregnancy using a substance abuse framework

Sugar-sweetened beverages (SSB) are previously reported to jeopardize maternal fetal health, most well-known for gestational diabetes, childhood obesity, and cognitive impairment. Although warnings and diet recommendations urge pregnant women to consume less SSB, there is no noticeable difference in their behavior. How and why reproductive women change their SSB consumption patterns were not investigated previously. Our study aims to investigate beverage consumption patterns and how these patterns change in pregnancy in the context of substance use disorder (SUD). We invited all pregnant women visiting the clinic to answer a structured 20-min questionnaire every trimester during the regular antennal visit. At the end of the study, 337 pregnant women aged over 20 participated. A total of 301 responses entered for final analysis, with a response rate of 89.3%. Our finding showed those with high DSM-5-TR scores reduced SSB intake after becoming pregnant, while those with mild or low DSM-5-TR scores increased SSB intake after becoming pregnant. The top 3 factors related to their SSB consumption were "use despite of known health hazard (n = 133)", "increased desire to drink (n = 88)", and "excessive time spent on seeking SSB (n = 85)". The least reported factors were in the domains of social impairment (ranging from n = 3 to n = 26), pharmacologic effects (i.e., tolerance (n = 24) and withdrawal (n = 70). When participants reduced SSB consumption after becoming pregnant, their choice of beverages largely shifted to sugarless beverage but not much plain water. The result provided new insights in deciphering pregnant women's psychomotor factors for SSB intake, which served as useful references for making clinical or even public health recommendations.

Unequivocally large, but not enormous: An examination of the nutritional content of objective and subjective binge-eating episodes using ecological momentary assessment data

OBJECTIVE

This study compared the macronutrient profiles of subjective binge-eating episodes (SBEs), objective binge-eating episodes (OBEs), and typical eating episodes.

METHOD

Twenty-one adults with binge eating completed ecological momentary assessment of all eating episodes for 2 weeks, including detailed monitoring of food types and portions. Binge-eating episodes (N = 237) were coded as OBEs (n = 76) or SBEs (n = 161). Calories and macronutrients were computed using manufacturer information and USDA Food and Nutrient Database for Dietary Studies. Multilevel regression models compared the eating episode types on caloric and macronutrient content.

RESULTS

OBEs contained an average of 121.5 (95.1) g fat, 363.7 (289.1) g carbohydrates, 65.2 (38.2) g protein, 20.9 (16.4) g fiber, and 2856.2 (1869.2) calories. SBEs contained 31.6 (30.5) g fat, 76.5 (54.0) g carbohydrates, 20.5 (21.6) g protein, 5.3 (5.9) g fiber, and 695.1 (505.9) calories. Although OBEs contained significantly more calories and grams of all macronutrients than SBEs (p < .001), the macronutrient proportions of OBEs and SBEs did not differ. The proportions of carbohydrates (p = .005) and protein (p < .001) in SBEs significantly differed from typical eating episodes.

DISCUSSION

Our findings offer preliminary evidence that OBEs and SBEs are more comparable in macronutrient profile than typical eating episodes.

PUBLIC SIGNIFICANCE STATEMENT

The present study compared the calories and grams of macronutrients in objectively large binge-eating episodes, subjectively large binge-eating episodes, and typical meals and snacks. Results suggest that objectively and subjectively large binge-eating episodes demonstrate similar profiles of macronutrients, which are different from the macronutrient profile of meals and snacks. These results may help the eating disorder field better study the impact of subjectively large binge-eating episodes.

How does social desirability bias influence survey-based estimates of the use of antenatal care in rural Nepal? A validation study

OBJECTIVES

Social desirability bias is often speculated to influence survey responses but seldom studied in healthcare. The objective was to explore whether social desirability scores (SDS) or the presence of interview observers is associated with inaccurate recall and overestimation of antenatal care (ANC) services.

DESIGN

Longitudinal validation study comparing recalled receipt of ANC services and nutrition components of ANC against direct observations of care. An adapted short form Marlowe-Crowne questionnaire was used to generate an SDS, and the presence of interview observers was treated as a separate exposure. We assessed accuracy and overestimation of recalled receipt of ANC services against observed receipt using log-binomial regression, adjusting for age, education, first-pregnancy and socioeconomic status.

SETTING

Rural Southern Nepal with recruitment from five government health posts.

PARTICIPANTS

401 pregnant women.

RESULTS

Social desirability scores did not significantly predict accuracy or overestimation of most types of ANC care except counselling on nausea. Higher SDS was associated with more accurate recall (adjusted RR, aRR 1.08 (95% CI 1.03, 1.12)) and less overestimation (aRR 0.85 (0.80, 0.91)). The presence of mothers-in-law or husbands during interviews was associated with greater overestimation of the number of ANC visits received by more than three visits (aRR 2.07 (1.11, 3.84)) and (aRR 4.19 (2.17, 8.10)), respectively. Those interviewed with friends present tended to overestimate the receipt of counselling on nausea, avoiding alcohol and not smoking.

CONCLUSION

The presence of observers can lead to overestimation of the receipt of ANC care and support the conduct of interviews in private settings despite challenges of doing so in village contexts. Findings that the SDS did not predict the accuracy of most types of ANC care might reflect a reality that such questions may not be sensitive from a social-norms perspective. Additional local adaptation of SDS is recommended.

Low carbohydrate high fat-diet in real life assessed by diet history interviews

BACKGROUND

Low carbohydrate high fat (LCHF) diet has been a popular low carbohydrate diet in Sweden for 15 years. Many people choose LCHF to lose weight or control diabetes, but there are concerns about the effect on long-term cardiovascular risks. There is little data on how a LCHF diet is composed in real-life. The aim of this study was to evaluate the dietary intake in a population with self-reported adherence to a LCHF diet.

METHODS

A cross-sectional study of 100 volunteers that considered themselves eating LCHF was conducted. Diet history interviews (DHIs) and physical activity monitoring for validation of the DHIs were performed.

RESULTS

The validation shows acceptable agreement of measured energy expenditure and reported energy intake. Median carbohydrate intake was 8.7 E% and 63% reported carbohydrate intake at potentially ketogenic levels. Median protein intake was 16.9 E%. The main source of energy was dietary fats (72.0 E%). Intake of saturated fat was 32 E% and cholesterol was 700 mg per day, both of which exceeded the recommended upper limits according to nutritional guidelines. Intake of dietary fiber was very low in our population. The use of dietary supplements was high, and it was more common to exceed the recommended upper limits of micronutrients than to have an intake below the lower limits.

CONCLUSIONS

Our study indicates that in a well-motivated population, a diet with very low carbohydrate intake can be sustained over time and without apparent risk of deficiencies. High intake of saturated fats and cholesterol as well as low intake of dietary fiber remains a concern.

Food security and diet quality in a racially diverse cohort of postpartum women in the USA

Food insecurity has been associated with poor diet, but few studies focused on the postpartum period - an important time for women's health. We examined associations between food security and diet quality in postpartum women and assessed whether participation in federal food assistance programmes modified this potential relation. Using longitudinal data, we analysed the association between food security at 3 months postpartum and a modified Alternate Healthy Eating Index-2010 (AHEI) at 6 months postpartum (excluding alcohol). We conducted multivariable linear regressions examining associations between food security and AHEI. We assessed two food assistance programmes as potential effect modifiers. The sample included 363 postpartum women from the Nurture study, located in the Southeastern USA (2013-2017). Among women, 64·4 % were Black and 45·7 % had a high school diploma or less. We found no evidence of an interaction between food security and two federal food assistance programmes. In adjusted models, marginal, low and very low food security were not associated with AHEI. However, low (β: -0·64; 95 % CI -1·15, -0·13; P = 0·01) and very low (β: -0·57; 95 % CI -1·02, -0·13; P = 0·01) food security were associated with greater trans fat intake. Food security status was not associated with overall diet quality but was associated with higher trans fat (low and very low) and more moderate alcohol (marginal) intake. Future studies should assess the consistency and generalisability of these findings.

Estimating nitrate intake in the Australian diet: Design and validation of a food frequency questionnaire

BACKGROUND

Dietary nitrates may play a role in mediating several key physiological processes impacting health and/or exercise performance. However, current methods for assessing dietary nitrate (NO3 - ) consumption are inadequate. The present study aimed to examine the dietary nitrate intake in a sample of 50 healthy adults, as well as test the validity of a purposefully developed food frequency questionnaire (FFQ).

METHODS

Dietary nitrate intake was estimated over a week using (i) three 24-h dietary recalls; (ii) a short-term (7-day) FFQ; and (iii) a biomarker (urinary nitrate), in conjunction with a nitrate reference database.

RESULTS

Daily dietary nitrate intake estimates were 130.94 mg (average of three 24-h recalls) and 180.62 mg (FFQ). The mean urinary NO3 - excretion was 1974.79 µmol day-1 (or 917.9 µmol L-1 ). Despite the difference between the two dietary assessment methods, there was a moderate positive correlation (r = 0.736, ρ < 0.001) between the two tools. There was also a positive correlation between urinary NO3 - and 24-h recall data (r = 0.632, ρ < 0.001), as well as between urinary NO3 - and FFQ (r = 0.579, ρ < 0.001).

CONCLUSIONS

The ability to accurately estimate nitrate intakes depends on having suitable reference methods to estimate the concentrations of nitrate in the food supply, coupled with valid and reliable dietary assessment tools. Based on the findings from the present study, at an individual level, dietary recalls or records may be more accurate in estimating intakes of NO3 - . However, given the lower cost and time needed for administration relative to recalls, the FFQ has merit for estimating NO3 - intakes in health interventions, dietary surveys and surveillance programs.

Energy availability and macronutrient intake in elite male Gaelic football players

Evidence suggests that Gaelic football (GF) players do not meet the recommended energy intake (EI) levels and therefore may be at risk of low energy availability (LEA). This study examined energy availability (EA) in 20 elite male GF players. At two stages during a season (2019-2020), repeated measures of EI, exercise energy expenditure (EEE), EA and body composition were performed. Sixty-five percent reported with LEA [<30 kcal.kg Lean Body Mass (LBM)^-1.day^-1] at pre-season (PRE), with 70% at in-season (IN). Mean daily carbohydrate intake (PRE 3.2 ± 0.82 g.kg; IN 3.4 ± 0.79 g.kg) was below the recommended intake (5-7 g.kg) in 95% at PRE and 100% at IN. All consumed the recommended daily amount of protein (PRE 1.85 ± 0.57 g.kg; IN 1.87 ± 0.48 g.kg) and fat (PRE 1.23 ± 0.4 g.kg; IN 1.02 ± 0.3 g.kg). Significant correlations (P = 0.001) were reported between EA and carbohydrates (PRE r = 0.801; IN r = 0.714); protein (PRE r = 0.675; IN r = 0.769); fat (PRE r = 0.805; IN r = 0.733) and energy intake (PRE r = 0.960; IN r = 0.949). Twenty percent were at risk of disordered eating. This study suggests male elite GF players require education and interventions surrounding nutrition, in particular EA.

Total Usual Nutrient Intakes and Nutritional Status of United Arab Emirates Children (4 Years-12.9 Years): Findings from the Kids Nutrition and Health Survey (KNHS) 2021

This study aims at investigating the anthropometric status and food consumption patterns of children in the United Arab Emirates (UAE) and assessing their adherence to nutrient and dietary recommendations. It is a population-based cross-sectional survey of 690 children (4-12.9 years), from 3 major Emirates. Socio-demographic and anthropometric characteristics were collected. Dietary intakes were assessed using the 24-hour recall approach. Of the total sample, 4% were stunted, 8% were wasted and 28% were overweight/obese. A third of participating children consumed above the Estimated Energy Requirement, while the majority's intakes carbohydrate, total fat, and protein were within the recommendations; whereas over 70% and 90% of participants consumed above the WHO daily limits of free sugars and saturated fats, respectively. Inadequate intakes of linoleic acid (36% of children), alpha-linolenic acid (91%) and dietary fiber (100%) were observed. All children failed to meet the recommendation for vitamin D and considerable proportions had inadequate intakes of vitamin A, calcium, zinc, folate, and magnesium. Compared with the American Heart Association/American Academy of Pediatrics recommendations, low dietary adherence was noted for fruits (9%), vegetables (4%), and milk/dairy (14%). These findings may be used in the development of nutritional policies aimed at improving the diets of children in the UAE.

Do we eat what we buy? Relative validity of grocery purchase data as an indicator of food consumption in the LoCard study

The validity of grocery purchase data as an indicator of food consumption is uncertain. This paper investigated (1) the associations between food consumption and grocery purchases using automatically accumulated purchase data and (2) whether the strength of the associations differed in certain sub-populations. The participants filled in a FFQ, and a major Finnish retailer issued us with their loyalty-card holders' grocery purchase data covering the 1- and 12-month periods preceding the FFQ. We used gamma statistics to study the association between thirds/quarters of FFQ and grocery purchase data (frequency/amount) separately for eighteen food groups among the 11 983 participants. Stratified analyses were conducted for subgroups based on sex, family structure, educational level, household income and self-estimated share of purchases from the retailer. We also examined the proportion of participants classified into the same, adjacent, subsequent and opposite categories using the FFQ and purchase data. The gammas ranged from 0·12 (cooked vegetables) to 0·75 (margarines). Single households had stronger gammas than two-adult families, and participants with > 60 % of purchases from the retailer had stronger gammas. For most food groups, the proportion of participants classified into the same or adjacent category was > 70 %. Most discrepancies were observed for fresh/cooked vegetables, berries and vegetable oils. Even though the two methods did not categorise all food groups similarly, we conclude that grocery purchase data are able to describe food consumption in an adult population, and future studies should consider purchase data as a resource-saving and moderately valid measure in large samples.

Digital Biomarkers for Personalized Nutrition: Predicting Meal Moments and Interstitial Glucose with Non-Invasive, Wearable Technologies

Digital health technologies may support the management and prevention of disease through personalized lifestyle interventions. Wearables and smartphones are increasingly used to continuously monitor health and disease in everyday life, targeting health maintenance. Here, we aim to demonstrate the potential of wearables and smartphones to (1) detect eating moments and (2) predict and explain individual glucose levels in healthy individuals, ultimately supporting health self-management. Twenty-four individuals collected continuous data from interstitial glucose monitoring, food logging, activity, and sleep tracking over 14 days. We demonstrated the use of continuous glucose monitoring and activity tracking in detecting eating moments with a prediction model showing an accuracy of 92.3% (87.2-96%) and 76.8% (74.3-81.2%) in the training and test datasets, respectively. Additionally, we showed the prediction of glucose peaks from food logging, activity tracking, and sleep monitoring with an overall mean absolute error of 0.32 (+/-0.04) mmol/L for the training data and 0.62 (+/-0.15) mmol/L for the test data. With Shapley additive explanations, the personal lifestyle elements important for predicting individual glucose peaks were identified, providing a basis for personalized lifestyle advice. Pending further validation of these digital biomarkers, they show promise in supporting the prevention and management of type 2 diabetes through personalized lifestyle recommendations.

Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults

Studies have shown that young adults follow less structured eating patterns compared with older cohorts. This may have implications for dietary assessment methods which rely on memory and structured meal patterns. Our aim was to describe the intra-individual variation of eating times in young adults aged 18−30 years. Participants (n = 41) wore an Autographer camera that captured first-person perspective images every 30 s for three consecutive days. All images were timestamped and those showing food consumption were used to extract data such as the timing of the first and last eating occasions (EOs), number of EOs per day, and length of eating window. Intra-individual variability was calculated from these data using composite phase deviation (CPD) and coefficient of variation (CV). The number of individuals with high or very high variability was 28 and 18 for timing of first and last EOs, respectively (CPD > 1.70), and 27 and 17 for number of EOs and eating window, respectively (CV > 20%). In this sample of young adults, the lack of regularity in eating patterns should be considered when selecting a dietary assessment method.

Food Intake Following Gastric Bypass Surgery: Patients Eat Less but Do Not Eat Differently

BACKGROUND

Lack of robust research methodology for assessing ingestive behavior has impeded clarification of the mediators of food intake following gastric bypass (GBP) surgery.

OBJECTIVES

To evaluate changes in directly measured 24-h energy intake (EI), energy density (ED) (primary outcomes), eating patterns, and food preferences (secondary outcomes) in patients and time-matched weight-stable comparator participants.

METHODS

Patients [n = 31, 77% female, BMI (in kg/m²) 45.5 ± 1.3] and comparators (n = 32, 47% female, BMI 27.2 ± 0.8) were assessed for 36 h under fully residential conditions at baseline (1 mo presurgery) and at 3 and 12 mo postsurgery. Participants had ad libitum access to a personalized menu (n = 54 foods) based on a 6-macronutrient mix paradigm. Food preferences were assessed by the Leeds Food Preference Questionnaire. Body composition was measured by whole-body DXA.

RESULTS

In the comparator group, there was an increase in relative fat intake at 3 mo postsurgery; otherwise, no changes were observed in food intake or body composition. At 12 mo postsurgery, patients lost 27.7 ± 1.6% of initial body weight (P < 0.001). The decline in EI at 3 mo postsurgery (-44% from baseline, P < 0.001) was followed by a partial rebound at 12 mo (-18% from baseline), but at both times, dietary ED and relative macronutrient intake remained constant. The decline in EI was due to eating the same foods as consumed presurgery and by decreasing the size (g, MJ), but not the number, of eating occasions. In patients, reduction in explicit liking at 3 mo (-11.56 ± 4.67, P = 0.007) and implicit wanting at 3 (-15.75 ± 7.76, P = 0.01) and 12 mo (-15.18 ± 6.52, P = 0.022) for sweet foods were not matched by reduced intake of these foods. Patients with the greatest reduction in ED postsurgery reduced both EI and preference for sweet foods.

CONCLUSIONS

After GBP, patients continue to eat the same foods but in smaller amounts. These findings challenge prevailing views about the dynamics of food intake following GBP surgery. This trial was registered as clinicaltrials.gov as NCT03113305.

Total Usual Nutrient Intakes and Nutritional Status of United Arab Emirates Children (<4 Years): Findings from the Feeding Infants and Toddlers Study (FITS) 2021

Background

The transition from a predominantly milk-based diet to a diverse family diet is a window of opportunity for optimal child growth and development.

Objectives

The study aims to examine the nutritional status and food-consumption patterns of children under 4 y of age in the United Arab Emirates (UAE) and their adherence to nutrient and dietary recommendations.

Methods

A population-based cross-sectional survey of 525 children aged 0-47.9 mo was conducted in 3 major emirates: Abu Dhabi, Dubai, and Sharjah. Anthropometric measurements were obtained, and dietary assessment was conducted using the 24-h dietary recall approach. Usual intakes of energy, macronutrient, and micronutrients, including from supplements, were assessed using PC-SIDE software. Adherence to food-group recommendations was evaluated based on the American Heart Association/American Academy of Pediatrics dietary guidelines.

Results

Among 0-4-y-old children, 10% were stunted, 6% were wasted, 17% were at risk of overweight, 5% were overweight, and 3% were obese. The contribution of sweets and sugar sweetened beverages to energy intake increased from 5% in 6-11.9-mo-old children to 17% in 36-47.9-mo-old children. Compared with dietary guidelines, the lowest adherence was for fruit (13-18%) and vegetables (7-12%), while protein was within the recommendations, and 92% and 89% of children (aged 24 to 35.9 mo and 36 to 47.9 mo, respectively) had high intakes of saturated fat. Almost all toddlers failed to meet the Adequate Intake for fiber. The proportions of children exceeding the free-sugar upper limit increased from 10.6% in infants (0-5.9 mo) to 56.7% in toddlers (12- 23.9 mo). Micronutrient inadequacies were observed, particularly for calcium, zinc, folate, and vitamins A and D.

Conclusions

This study suggests a triple burden of malnutrition among infants and young children in the UAE. Results call for national nutrition intervention strategies aimed at improving dietary quality in the pediatric population.

DHPPA, a major plasma alkylresorcinol metabolite reflecting whole-grain wheat and rye intake, and risk of metabolic syndrome: a case-control study

PURPOSE

Whole-grain intake assessed through self-reported methods has been suggested to be inversely associated with the metabolic syndrome (MetS) risk in epidemiological studies. However, few studies have evaluated the association between whole-grain intake and MetS risk using objective biomarkers of whole-grain intake. The aim of this study was to examine the association between plasma 3-(3,5-Dihydroxyphenyl)-1-propanoic acid (DHPPA), a biomarker of whole-grain wheat and rye intake, and MetS risk in a Chinese population.

METHODS

A case-control study of 667 MetS cases and 667 matched controls was conducted based on baseline data of the Tongji-Ezhou Cohort study. Plasma DHPPA concentrations were assessed by high-performance liquid chromatography-tandem mass spectrometry. The MetS was defined based on criteria set by the Joint Interim Statement.

RESULTS

Plasma DHPPA was inversely associated with MetS risk. After adjustment for age, sex, body mass index, smoking status, alcohol drinking status, physical activity and education level, the odds ratios (ORs) for MetS across increasing quartiles of plasma DHPPA concentrations were 1 (referent), 0.86 (0.58-1.26), 0.77 (0.52-1.15), and 0.59 (0.39-0.89), respectively. In addition, the cubic spline analysis revealed a potential nonlinear association between plasma DHPPA and MetS, with a steep reduction in the risk at the lower range of plasma DHPPA concentration.

CONCLUSION

Our study revealed that individuals with higher DHPPA concentrations in plasma had lower odds of MetS compared to those with lower DHPPA concentrations in plasma. Our findings provided further evidence to support health benefits of whole grain consumption.

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Background

Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a mature system and large-scale, reliable training set.

Objective

This study aims to fill in this gap by an integrative engineering and machine learning effort and conducting a large-scale study in terms of monitoring hours on wearable-based eating detection.

Methods

This prospective, longitudinal, passively collected study, covering 3828 hours of records, was made possible by programming a digital system that streams diary, accelerometer, and gyroscope data from Apple Watches to iPhones and then transfers the data to the cloud.

Results

On the basis of this data collection, we developed deep learning models leveraging spatial and time augmentation and inferring eating at an area under the curve (AUC) of 0.825 within 5 minutes in the general population. In addition, the longitudinal follow-up of the study design encouraged us to develop personalized models that detect eating behavior at an AUC of 0.872. When aggregated to individual meals, the AUC is 0.951. We then prospectively collected an independent validation cohort in a different season of the year and validated the robustness of the models (0.941 for meal-level aggregation).

Conclusions

The accuracy of this model and the data streaming platform promises immediate deployment for monitoring eating in applications such as diabetic integrative care.

Associations between farmers' market shopping behaviours and objectively measured and self-reported fruit and vegetable intake in a diverse sample of farmers' market shoppers: a cross-sectional study in New York City and rural North Carolina

OBJECTIVE

To examine cross-sectional associations between farmers' market shopping behaviours and objectively measured and self-reported fruit and vegetable (FV) intake among rural North Carolina (NC) and New York City (NYC) shoppers.

DESIGN

Cross-sectional intercept surveys were used to assess self-reported FV intake and three measures of farmers' market shopping behaviour: (1) frequency of purchasing FV; (2) variety of FV purchased and (3) dollars spent on FV. Skin carotenoids, a non-invasive biomarker for FV intake, were objectively measured using pressure-mediated reflection spectroscopy. Associations between farmers' market shopping behaviours and FV intake were examined using regression models that controlled for demographic variables (e.g. age, sex, race, smoking status, education, income and state).

SETTING

Farmers' markets (n 17 markets) in rural NC and NYC.

PARTICIPANTS

A convenience sample of 645 farmers' market shoppers.

RESULTS

Farmers' market shoppers in NYC purchased a greater variety of FV and had higher skin carotenoid scores compared with shoppers in rural NC. Among all shoppers, there was a positive, statistically significant association between self-reported frequency of shopping at farmers' markets and self-reported as well as objectively assessed FV intake. The variety of FV purchased and farmers' market spending on FV also were positively associated with self-reported FV intake, but not skin carotenoids.

CONCLUSION

Those who shop for FV more frequently at a farmers' markets, purchase a greater variety of FV and spend more money on FV have higher self-reported, and in some cases higher objectively measured FV intake. Further research is needed to understand these associations and test causality.

Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study

Background

The field of dietary assessment has a long history, marked by both controversies and advances. Emerging technologies may be a potential solution to address the limitations of self-report dietary assessment methods. The Monitoring and Modeling Family Eating Dynamics (M2FED) study uses wrist-worn smartwatches to automatically detect real-time eating activity in the field. The ecological momentary assessment (EMA) methodology was also used to confirm whether eating occurred (ie, ground truth) and to measure other contextual information, including positive and negative affect, hunger, satiety, mindful eating, and social context.

Objective

This study aims to report on participant compliance (feasibility) to the 2 distinct EMA protocols of the M2FED study (hourly time-triggered and eating event–triggered assessments) and on the performance (validity) of the smartwatch algorithm in automatically detecting eating events in a family-based study.

Methods

In all, 20 families (58 participants) participated in the 2-week, observational, M2FED study. All participants wore a smartwatch on their dominant hand and responded to time-triggered and eating event–triggered mobile questionnaires via EMA while at home. Compliance to EMA was calculated overall, for hourly time-triggered mobile questionnaires, and for eating event–triggered mobile questionnaires. The predictors of compliance were determined using a logistic regression model. The number of true and false positive eating events was calculated, as well as the precision of the smartwatch algorithm. The Mann-Whitney U test, Kruskal-Wallis test, and Spearman rank correlation were used to determine whether there were differences in the detection of eating events by participant age, gender, family role, and height.

Results

The overall compliance rate across the 20 deployments was 89.26% (3723/4171) for all EMAs, 89.7% (3328/3710) for time-triggered EMAs, and 85.7% (395/461) for eating event–triggered EMAs. Time of day (afternoon odds ratio [OR] 0.60, 95% CI 0.42-0.85; evening OR 0.53, 95% CI 0.38-0.74) and whether other family members had also answered an EMA (OR 2.07, 95% CI 1.66-2.58) were significant predictors of compliance to time-triggered EMAs. Weekend status (OR 2.40, 95% CI 1.25-4.91) and deployment day (OR 0.92, 95% CI 0.86-0.97) were significant predictors of compliance to eating event–triggered EMAs. Participants confirmed that 76.5% (302/395) of the detected events were true eating events (ie, true positives), and the precision was 0.77. The proportion of correctly detected eating events did not significantly differ by participant age, gender, family role, or height (P>.05).

Conclusions

This study demonstrates that EMA is a feasible tool to collect ground-truth eating activity and thus evaluate the performance of wearable sensors in the field. The combination of a wrist-worn smartwatch to automatically detect eating and a mobile device to capture ground-truth eating activity offers key advantages for the user and makes mobile health technologies more accessible to nonengineering behavioral researchers.

Nutritional status and adequacy of feeding Practices in Infants and Toddlers 0-23.9 months living in the United Arab Emirates (UAE): findings from the feeding Infants and Toddlers Study (FITS) 2020

BACKGROUND

Infant and young child feeding practices (IYCF) impact the early and later health status of the population. Limited data is available regarding IYCF in the United Arab Emirates (UAE). This study aimed to evaluate the nutritional status and adequacy of feeding practices, energy, food, and nutrient intakes of UAE infants and toddlers ages 0-23.9 months.

METHODS

This study is a population-based cross-sectional survey of 276 infants and toddlers aged 0-23.9 months of which 180 were nationals and 96 were Arab non-nationals living in the UAE. Data were collected from the three major emirates: Abu Dhabi, Dubai, and Sharjah. Anthropometry was collected and assessed using WHO Anthro-Survey Analyzer, and a multicomponent age-specific questionnaire was used to evaluate IYCF and sociodemographic characteristics. Usual intake of energy, micronutrients, and macronutrients, including supplements, were collected using multiple-pass 24-h dietary recall and analyzed using the PC-side software. IYCF practices were assessed using the WHO indicators.

RESULTS

Overall, 4% of children were malnourished, 8% wasted, 15% stunted, 18% at risk of overweight, and 7% overweight and obese. 95% of infants were ever breastfed and 37% exclusively breastfed at 6 months. Around 98% of infants had a timely introduction of complementary food. Macronutrient intake exceeded AMDR for fat, carbohydrates, and protein for 27%, 8% and 2% of toddlers respectively. As for the percentage of those exceeding the ESPGHAN cut-off for free sugars set at 5% of energy intake, 28.6% had excessive intakes overall, 10% in 0-5.9, 21.9% in 6-11.9 and 56.7% in 12-23.9 month. Usual iron intake was below the Estimated Average Requirement (EAR) in 47% of infants 6-11.9 months. Above 12 months, the usual intake of iron and vitamin D were below EAR in 11% and 49% of toddlers respectively. Usual intake exceeded the tolerable upper intake levels (UL) for vitamin A (14 to 18%) and zinc (11 to 22%) across all ages. Approximately 93% of toddlers ages 12-23.9 months did not meet food groups' recommendations for vegetables, 87% for fruits, 48% for milk/dairy, 54% for lean meat and beans, and 33% for grains.

CONCLUSIONS

This study revealed that a high percentage of infants and toddlers aged 0-23.9 m suffer from a double burden of malnutrition, which is the coexistence of both undernutrition, and overweight and obesity in the same population. In addition to suboptimal feeding practices and inadequate/overconsumption of various nutrients. The findings highlight the need for the development of culturally specific programs aiming to improve the nutritional status of infants and toddlers in the UAE.

Associations of changes in reported and estimated protein and energy intake with changes in insulin resistance, glycated hemoglobin, and BMI during the PREVIEW lifestyle intervention study

BACKGROUND

Observed associations of high-protein diets with changes in insulin resistance are inconclusive.

OBJECTIVES

We aimed to assess associations of changes in both reported and estimated protein (PRep; PEst) and energy intake (EIRep; EIEst) with changes in HOMA-IR, glycated hemoglobin (HbA1c), and BMI (in kg/m2), in 1822 decreasing to 833 adults (week 156) with overweight and prediabetes, during the 3-y PREVIEW (PREVention of diabetes through lifestyle intervention and population studies In Europe and around the World) study on weight-loss maintenance. Eating behavior and measurement errors (MEs) of dietary intake were assessed. Thus, observational post hoc analyses were applied.

METHODS

Associations of changes in EIEst, EIRep, PEst, and PRep with changes in HOMA-IR, HbA1c, and BMI were determined by linear mixed-model analysis in 2 arms [high-protein-low-glycemic-index (GI) diet and moderate-protein-moderate-GI diet] of the PREVIEW study. EIEst was derived from energy requirement: total energy expenditure = basal metabolic rate × physical activity level; PEst from urinary nitrogen, and urea. MEs were calculated as [(EIEst - EIRep)/EIEst] × 100% and [(PRep - PEst)/PEst] × 100%. Eating behavior was determined using the Three Factor Eating Questionnaire, examining cognitive dietary restraint, disinhibition, and hunger.

RESULTS

Increases in PEst and PRep and decreases in EIEst and EIRep were associated with decreases in BMI, but not independently with decreases in HOMA-IR. Increases in PEst and PRep were associated with decreases in HbA1c. PRep and EIRep showed larger changes and stronger associations than PEst and EIEst. Mean ± SD MEs of EIRep and PRep were 38% ± 9% and 14% ± 4%, respectively; ME changes in EIRep and En% PRep were positively associated with changes in BMI and cognitive dietary restraint and inversely with disinhibition and hunger.

CONCLUSIONS

During weight-loss maintenance in adults with prediabetes, increase in protein intake and decrease in energy intake were not associated with decrease in HOMA-IR beyond associations with decrease in BMI. Increases in PEst and PRep were associated with decrease in HbA1c.This trial was registered at clinicaltrials.gov as NCT01777893.

Dietary patterns and associations with biomarkers of inflammation in adults: a systematic review of observational studies

Background

Evidence indicates that low-grade inflammation is involved in manychronic diseases of ageing. Modifiable lifestyle factors including dietcan affect low-grade inflammation. Dietary patterns allow assessment of the complex interactions of food nutrients and health and may be associated with inflammatory status.

This systematic review aimed to summarises current evidence from observational studies for associations between dietary patterns and inflammatory biomarkers in the general adult population. This review followed the PRISMA guidelines.

Methods

We conducted a systematic search in Embase, CINAHL Complete, Global Health and MEDLINE complete databases. Search terms included terms for diet (“dietary patterns”, “diet scores”) and inflammation (“inflammation“, “c-reactive protein“, “interleukin“).

Results

The search produced 7161 records. Duplicates were removed leaving 3164 for screening. There were 69 studies included (60 cross-sectional, 9 longitudinal). Papers included studies that were: 1) observational studies; 2) conducted in community-dwelling adults over 18 years of age; 3) assessed dietary patterns; 4) measured specified biomarkers of inflammation and 5) published in English. Dietary patterns were assessed using diet scores (n = 45), data-driven approaches (n = 22), both a data-driven approach and diet score (n = 2). The most frequently assessed biomarkers were CRP (n = 64) and/or IL-6 (n = 22). Cross-sectionally the majority of analyses reported an association between higher diet scores (mostly Mediterranean and anti-inflammatory diet scores) and lower inflammatory markers with 82 significant associations from 133 analyses. Only 22 of 145 cross-sectional analyses using data-driven approaches reported an association between a dietary patterns and lower inflammatory markers; the majority reported no association. Evidence of an association between dietary patterns and inflammatory markers longitudinally is limited, with the majority reporting no association.

Conclusions

Adherence to healthy, Mediterranean and anti-inflammatory dietary scores, appear to be associated with lower inflammatory status cross-sectionally. Future research could focus on longitudinal studies using a potential outcomes approach in the data analysis.

Trial registration

PROSPERO Registration Number CRD42019114501.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12937-021-00674-9.

Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol

Objectives

Behavioral obesity treatment (BOT) produces clinically significant weight loss and health benefits for many individuals with overweight/obesity. Yet, many individuals in BOT do not achieve clinically significant weight loss and/or experience weight regain. Lapses (i.e., eating that deviates from the BOT prescribed diet) could explain poor outcomes, but the behavior is understudied because it can be difficult to assess. We propose to study lapses using a multi-method approach, which allows us to identify objectively-measured characteristics of lapse behavior (e.g., eating rate, duration), examine the association between lapse and weight change, and estimate nutrition composition of lapse.

Method

We are recruiting participants (n = 40) with overweight/obesity to enroll in a 24-week BOT. Participants complete biweekly 7-day ecological momentary assessment (EMA) to self-report on eating behavior, including dietary lapses. Participants continuously wear the wrist-worn ActiGraph Link to characterize eating behavior. Participants complete 24-hour dietary recalls via structured interview at 6-week intervals to measure the composition of all food and beverages consumed.

Results

While data collection for this trial is still ongoing, we present data from three pilot participants who completed EMA and wore the ActiGraph to illustrate the feasibility, benefits, and challenges of this work.

Conclusion

This protocol will be the first multi-method study of dietary lapses in BOT. Upon completion, this will be one of the largest published studies of passive eating detection and EMA-reported lapse. The integration of EMA and passive sensing to characterize eating provides contextually rich data that will ultimately inform a nuanced understanding of lapse behavior and enable novel interventions.Trial registration: Registered clinical trial NCT03739151; URL: https://clinicaltrials.gov/ct2/show/NCT03739151.

Effects of a Protein-Rich, Low-Glycaemic Meal Replacement on Changes in Dietary Intake and Body Weight Following a Weight-Management Intervention-The ACOORH Trial

Although meal replacement can lead to weight reduction, there is uncertainty whether this dietary approach implemented into a lifestyle programme can improve long-term dietary intake. In this subanalysis of the Almased Concept against Overweight and Obesity and Related Health Risk (ACOORH) study (n = 463), participants with metabolic risk factors were randomly assigned to either a meal replacement-based lifestyle intervention group (INT) or a lifestyle intervention control group (CON). This subanalysis relies only on data of participants (n = 119) who returned correctly completed dietary records at baseline, and after 12 and 52 weeks. Both groups were not matched for nutrient composition at baseline. These data were further stratified by sex and also associated with weight change. INT showed a higher increase in protein intake related to the daily energy intake after 12 weeks (+6.37% [4.69; 8.04] vs. +2.48% [0.73; 4.23], p < 0.001) of intervention compared to CON. Fat and carbohydrate intake related to the daily energy intake were more strongly reduced in the INT compared to CON (both p < 0.01). After sex stratification, particularly INT-women increased their total protein intake after 12 (INT: +12.7 g vs. CON: −5.1 g, p = 0.021) and 52 weeks (INT: +5.7 g vs. CON: −16.4 g, p = 0.002) compared to CON. Protein intake was negatively associated with weight change (r = −0.421; p < 0.001) after 12 weeks. The results indicate that a protein-rich dietary strategy with a meal replacement can improve long-term nutritional intake, and was associated with weight loss.

Postprandial Dried Blood Spot-Based Nutritional Metabolomic Analysis Discriminates a High-Fat, High-Protein Meat-Based Diet from a High Carbohydrate Vegan Diet: A Randomized Controlled Crossover Trial

BACKGROUND

Due to the challenges associated with accurate monitoring of dietary intake in humans, nutritional metabolomics (including food intake biomarkers) analysis as a complementary tool to traditional dietary assessment methods has been explored. Food intake biomarker assessment using postprandial dried blood spot (DBS) collection can be a convenient and accurate means of monitoring dietary intake vs 24-hour urine collection.

OBJECTIVE

The objective of this study was to use nutritional metabolomics analysis to differentiate a high-fat, high-protein meat (HFPM) diet from a high-carbohydrate vegan (HCV) diet in postprandial DBS and 24-hour urine.

DESIGN

This was a randomized controlled crossover feeding trial.

PARTICIPANTS/SETTING

Participants were healthy young adult volunteers (n = 8) in California. The study was completed in August 2019.

INTERVENTION

The standardized isocaloric diet interventions included an HFPM and an HCV diet. Participants attended 2 intervention days, separated by a 2-week washout.

MAIN OUTCOME MEASURES

During each intervention day, a finger-prick blood sample was collected in the fasting state, 3 hours post breakfast, and 3 hours post lunch. Participants also collected their urine for 24 hours. DBS and urine samples were analyzed by ultra-performance liquid chromatography mass spectrometry to identify potential food intake biomarkers.

STATISTICAL ANALYSES PERFORMED

Principal component analysis for discriminatory analysis and univariate analysis using paired t tests were performed.

RESULTS

Principal component analysis found no discrimination of baseline DBS samples. In both the postprandial DBS and 24-hour urine, post-HFPM consumption had higher (P < 0.05) levels of acylcarnitines, creatine, and cis-trans hydroxyproline, and the HCV diet was associated with elevated sorbitol (P < 0.05). The HFPM diet had higher concentrations of triacylglycerols with fewer than 54 total carbons in DBS, and 24-hour urine had higher nucleoside mono- and di-phosphates (P < 0.05).

CONCLUSIONS

Nutritional metabolomics profiles of postprandial DBS and 24-hour urine collections were capable of differentiating the HFPM and HCV diets. The potential use of postprandial DBS-based metabolomic analysis deserves further investigation for dietary intake monitoring.

Impact of physical activity, anthropometric, body composition, and dietary factors on bone stiffness in German university students

BACKGROUND

Bone density in the young-adult life is associated with risk for osteoporosis in later life. Next to genetic factors, lifestyle seems to play an important role for bone health. Aim of the study was to clarify the relationship between various lifestyle factors and bone parameters in university students.

METHODS

In 233 women and 52 men (age: 22.7±3.1 vs. 24.0±3.2 years; BMI: 22.2±2.9 vs. 24.2±3.1 kg∙m^-2) the following parameters were assessed: calcaneal Stiffness Index ([SI]; quantitative ultrasound), body composition (bioelectrical impedance analysis), actual and past physical activity level ([PAL]; standardized questionnaire), and food/nutrient intake (3-day dietary record). Sex differences (Mann-Whitney-U-tests), relationships between SI and lifestyle factors (Spearman's rank correlation), and the influence of the factors on the variance of SI (multiple linear regression) were tested (α=0.05).

RESULTS

6.9% of the women and 5.8% of the men were classified as osteopenic (-2.5< T score <-1). Significant correlations between SI and BMI, absolute fat mass and fat-free mass, actual PAL, and physical activity during adolescence were found in women (r=0.18-0.24, all P<0.05), but not in men. Food/nutrient parameters did not significantly correlate with bone outcomes (P>0.05). In multiple regression analysis physical activity during adolescence, actual PAL, and BMI explained 8% of the variance of SI (P<0.0001): SI=32.2+3.5∙physical activity during adolescence [1: very low, 2: low, 3: medium, 4: high, 5: very high] +28.5∙PAL+0.8∙BMI [kg∙m^-2].

CONCLUSIONS

Parameters of physical activity seem to be more important for bone health than nutrition factors. Therefore, high levels of physical activity during childhood, adolescence, and early-adult life are highly recommended to improve bone parameters.

Distributional Changes in U.S. Sugar-Sweetened Beverage Purchases, 2002-2014

INTRODUCTION

U.S. policy actions focus on reducing sugar-sweetened beverage purchases. Yet, there are no studies on trends in overall purchase distribution and how it has changed by key subpopulations. This study examined changes in distributions of total sugar-sweetened beverage purchases and its major subtypes (regular carbonated soft drinks and fruit/sports/energy drinks) in 2002-2014 and distinguished among low, moderate, and high purchasers.

METHODS

Longitudinal data on sugar-sweetened beverage purchases of U.S. households from the 2002-2014 Nielsen Homescan Panel were used. Sugar-sweetened beverages were defined as all caloric non-alcoholic beverages containing added sugars. Longitudinal quantile regression model examined trends across distributions (from quantile 25 to 95) of purchases (measured in kcal/day/capita), while accounting for households' unobserved differences. All statistical analyses were conducted in 2019.

RESULTS

All households across the total purchase distribution significantly reduced their purchases. High purchasers made less proportional reductions than low purchasers (e.g., 35% at 95th quantile vs 62% at 25th quantile). However, the smaller relative reductions among higher purchasers translated into larger absolute decreases (e.g., 134 kcal/day/capita at 95th quantile vs 23 kcal/day/capita at 25th quantile). Similar patterns in heterogeneity were observed across sugar-sweetened beverage subtype distributions and among racial/ethnic and income groups. In addition, there were significant racial/ethnic and income disparities in total sugar-sweetened beverage purchases in 2002-2003. Although racial/ethnic disparities among higher purchasers improved, income disparity patterns at all purchase levels persisted into 2013-2014.

CONCLUSIONS

From 2002‒2003 to 2013-2014, U.S. households at all purchase levels made meaningful reductions in sugar-sweetened beverage purchases in both absolute and relative terms. Furthermore, racial/ethnic disparities in total sugar-sweetened beverage purchases narrowed, but income disparity patterns persisted.

Estimating Reductions in Ethnic Inequalities in Child Adiposity from Hypothetical Diet, Screen Time, and Sports Participation Interventions

BACKGROUND

Childhood obesity is a global epidemic, and its prevalence differs by ethnicity. The objective of this study was to estimate the change in ethnic inequalities in child adiposity at age 10 resulting from interventions on diet at age 8 and screen time and sports participation at age 9.

METHODS

We conducted a population-based cohort study, the Generation R Study, from 9,749 births in Rotterdam (2002-2006), of which 9,506 children remained in the analysis. We measured ethnicity, diet, screen time, and sports participation through questionnaires; we measured weight, body mass index (BMI), fat mass index, and fat-free mass index directly. We used sequential G-estimation to estimate the reduction in inequality that would result from the interventions.

RESULTS

We observed that sociodemographic characteristics, diet, screen time, sports participation, and all adiposity measurements were more favorable in children from Western versus non-Western ethnic backgrounds: weight = -1.2 kg (95% confidence interval [CI] = -1.7, -0.8), BMI = -1.0 kg/m (CI = -1.2, -0.9), and fat mass index = -0.8 kg/m (CI = -0.9, -0.7). We estimated that extreme intervention (maximum diet score of 10, no screen time, and >4 hours/week of sports) reduced ethnic inequalities by 21% (CI = 8%, 35%) for weight, 9% (CI = 4%, 14%) for BMI, and 9% (CI = 6%, 13%) for fat mass index. A diet score ≥5 points, screen time ≤2 hours/day, and sports participation >2 hours/week reduced ethnic inequalities by 17% (CI = 6%, 28%) for weight, 7% (CI = 3%, 11%) for BMI, and 7% (CI = 4%, 10%) for fat mass index.

CONCLUSIONS

Our results are consistent with the hypothesis that interventions integrating diet, screen time, and sports participation have a moderate impact on reducing ethnic inequalities in child adiposity.

Healthy nutrition in Germany: a survey analysis of social causes, obesity and socioeconomic status

OBJECTIVE

The obesity pandemic is an increasing burden for society. Information on key drivers of the nutrition cycle of (a) social causation, (b) biological causation and (c) health selection is vital for effective policies targeted at the reduction of obesity prevalence. However, empirical causal knowledge on (a) the social predictors of diet quality, (b) its impact on corpulence and (c) the socioeconomic consequences of obesity is sparse. We overcome the limitations of previous research and acquire comprehensive causal insight into this cycle.

DESIGN

Therefore, we analyse two German socio-epidemiological panel surveys exploiting their longitudinal panel structure utilising hybrid panel regression models.

SETTING

General population of Germany.

PARTICIPANTS

German Health Interview and Examination Survey for Children and Adolescents (KiGGS, n 17 640; age 0-24 years) and the German National Nutrition Monitoring (NEMONIT, n 2610; age 15-82 years).

RESULTS

The results indicate that (a) interestingly only sex, education and age explain healthy diets; (b) increases in a newly developed Optimised Healthy Eating Index (O-HEI-NVSII) and in nuts intake reduce BMI, while growing overall energy intake, lemonade, beer and meat (products) intake drive corpulence; (c) in turn, developing obesity decreases socioeconomic status.

CONCLUSIONS

These results suggest that policies targeted at the reduction of obesity prevalence may be well advised to focus on boys and men, people with low education, the promotion of a healthy diet and nuts intake, and the limitation of lemonade, beer and meat (products) intake. Therefore, future research may focus on the replication of our findings utilising longer panels and experimental approaches.

Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review

Dietary intake, eating behaviors, and context are important in chronic disease development, yet our ability to accurately assess these in research settings can be limited by biased traditional self-reporting tools. Objective measurement tools, specifically, wearable sensors, present the opportunity to minimize the major limitations of self-reported eating measures by generating supplementary sensor data that can improve the validity of self-report data in naturalistic settings. This scoping review summarizes the current use of wearable devices/sensors that automatically detect eating-related activity in naturalistic research settings. Five databases were searched in December 2019, and 618 records were retrieved from the literature search. This scoping review included N = 40 studies (from 33 articles) that reported on one or more wearable sensors used to automatically detect eating activity in the field. The majority of studies (N = 26, 65%) used multi-sensor systems (incorporating > 1 wearable sensors), and accelerometers were the most commonly utilized sensor (N = 25, 62.5%). All studies (N = 40, 100.0%) used either self-report or objective ground-truth methods to validate the inferred eating activity detected by the sensor(s). The most frequently reported evaluation metrics were Accuracy (N = 12) and F1-score (N = 10). This scoping review highlights the current state of wearable sensors' ability to improve upon traditional eating assessment methods by passively detecting eating activity in naturalistic settings, over long periods of time, and with minimal user interaction. A key challenge in this field, wide variation in eating outcome measures and evaluation metrics, demonstrates the need for the development of a standardized form of comparability among sensors/multi-sensor systems and multidisciplinary collaboration.

Orientation-Based Food Image Capture for Head Mounted Egocentric Camera

Current head-mounted wearable sensors for monitoring of food intake operates by fusing multiple modalities such as inertial and image sensing. The image capture may be performed periodically, capturing a large number of irrelevant images, increasing power consumption and reducing the battery life. In this manuscript, we propose an efficient approach for food image capture, that captures the images only when the head tilt angle estimated from the accelerometer data matches that during ingestion of food. The method was developed and validated using data from 15 volunteers consuming unrestricted meals in a free-living environment between 12.5 to 18.5 hours. The tilt angle of the head was computed using 3D accelerometer data. A classifier for image capture was developed using a curve fitting approach on the tilt angles of the head. The proposed method achieved a sensitivity of 0.97 and specificity of 0.47 in predicting capture of food images, thus potentially improving the battery life of the wearable device.

Ethnic Differences in Dietary Management of Gestational Diabetes Mellitus: A Mixed Methods Study Comparing Ethnic Chinese Immigrants and Australian Women

BACKGROUND

Dietary modification is the primary intervention strategy for management of gestational diabetes mellitus (GDM), which usually occurs in the third trimester of pregnancy when women have extra nutritional needs. There is a high migration rate of ethnic Chinese people to Western countries, and those women present a high-risk group for GDM. Little is known about diet, dietary self-management, and nutritional supplementation use among ethnic Chinese migrant women with GDM compared with members of the host population with GDM.

OBJECTIVE

This study aimed to compare the perceptions and experiences of dietary self-management and nutritional needs of ethnic Chinese migrants with those of Australian-born white women with GDM in Australia.

DESIGN

A predominantly qualitative mixed methods approach with a quantitative component was used. Data collection involved in-depth, semistructured interviews, and 3-day 24-hour recall diaries collected concurrently. Data analysis and management relied on NVivo (QSR International Pty Ltd), FoodWorks (FoodWorks Professional 2017, Xyris Software), and SPSS (SPSS Inc). Pearson χ² test, independent-samples t test, and Mann-Whitney U test were used to compare nutrient intakes between groups. The Pearson correlation was used to determine the relationship between dietary patterns and nutrient intake.

PARTICIPANTS

A total of 44 ethnic Chinese and 39 Australian-born white participants with GDM were recruited from two large Australian maternity services located in tertiary hospitals.

RESULTS

Ethnic differences in satisfaction with GDM education influenced GDM self-management. Ethnic Chinese women with GDM perceived dietary advice received from health professionals to be lacking in cultural relevance and detail and responded by restricting their dietary intake and relying on nutritional supplementation. The perceived benefits of specific supplements produced ethnic differences in the patterns of supplement use. Cultural dietary patterns influenced dietary adequacy in pregnancy.

CONCLUSIONS

This study suggests the need for provision of more concrete, prescriptive, and culturally relevant dietary and supplementation advice for ethnic Chinese women with GDM.

Errors in body mass index from self-reported data by sex and across waves of Add Health

PURPOSE

Body mass index (BMI) derived from self-reported height and weight is often used to study adiposity and its health implications. However, misestimates of BMI from self-reported data have been observed. This study adds to the literature by demonstrating how anthropometric misreporting patterns differed by sex and changed across time in a nationally representative cohort, as well as examining behavioral/psychological correlates of biases in BMI.

METHODS

Misreporting of height and weight (and thus BMI) from adolescence to adulthood in the United States was studied using the National Longitudinal Study of Adolescent to Adult Health (1996-2008). Behavioral/psychological characteristics possibly associated with errors in BMI were analyzed with fixed-effects models.

RESULTS

Different patterns of anthropometric misreporting resulted in larger underestimation of BMI among females than males at the beginning waves, but females saw a reduction by the last wave. Males did not see such a decrease, and their error, at 0.75 BMI units by 2008, was comparable to that of females. For both sexes, body image perception was a significant predictor of biases in BMI.

CONCLUSIONS

From adolescence to adulthood, anthropometric reporting patterns changed, and its variation differed by sex. Nevertheless, errors in BMI were similarly associated with behavioral/psychological characteristics.

A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labelled water

Assessing energy intake (EI) in children and adolescents is essential for monitoring population nutrition trends and interpreting clinical outcomes. The aim of this review was to examine the validity of dietary assessment methods for estimating EI in children and adolescents when compared with total energy expenditure (TEE) measured using doubly labelled water (DLW). Six online databases were searched to identify articles published in English. Studies were included if they were conducted in participants aged ≤18 years, if they estimated EI via a dietary assessment method, and if they compared this estimate to TEE measured using the DLW method. The search strategy identified 345 articles, of which 13 articles (12 studies) (n = 306 children) met the selection criteria. Five studies were carried out in children aged 5-11 years with dietary intake of children reported by parents/caregivers. The most common dietary assessment methods used were food frequency questionnaires (n = 5) and weighed food records (n = 4). All methods were found to have some level of misreporting. Child characteristics including weight status, age, and sex were not found to consistently influence the accuracy of reported EI. Five studies employing technology-assisted approaches for assessing dietary intake in children were identified and reported mixed findings. Validity studies using DLW remain sparse in the literature. Studies including participants less than 5 years or older than 11 years, and from diverse ethnicities and socioeconomic backgrounds are warranted to explore other demographic differences that may affect the accuracy of dietary assessment methods. While reported in few studies, technology-assisted methods were found to perform equally well in estimating intakes when compared to DLW and other traditional forms of dietary assessment.

The Role of Self-Control and the Presence of Enactment Models on Sugar-Sweetened Beverage Consumption: A Pilot Study

The objective of the present research was to investigate associations of dispositional and momentary self-control and the presence of other individuals consuming SSBs with the consumption frequency of sugar-sweetened beverages (SSBs) in a multi-country pilot study. We conducted an Ambulatory Assessment in which 75 university students (52 females) from four study sites carried smartphones and received prompts six times a day in their everyday environments to capture information regarding momentary self-control and the presence of other individuals consuming SSBs. Multilevel models revealed a statistically significant negative association between dispositional self-control and SSB consumption. Moreover, having more self-control than usual was only beneficial in regard to lower SSB consumption frequency, when other individuals consuming SSBs were not present but not when they were present. The findings support the hypothesis that self-control is an important factor regarding SSB consumption. This early evidence highlights self-control as a candidate to design interventions to promote healthier drinking through improved self-control.

Amino Acids and Hypertension in Adults

Accumulating evidence suggests a potential role of dietary protein among nutritional factors interfering with the regulation of blood pressure. Dietary protein source (plant versus animal protein), and especially, protein composition in terms of amino acids has been postulated to interfere with mechanisms underlying the development of hypertension. Recently, mounting interest has been directed at amino acids in hypertension focusing on habitual dietary intake and their circulating levels regardless of single amino acid dietary supplementation. The aim of the present review was to summarize epidemiological evidence concerning the connection between amino acids and hypertension. Due to the large variability in methodologies used for assessing amino acid levels and heterogeneity in the results obtained, it was not possible to draw robust conclusions. Indeed, some classes of amino acids or individual amino acids showed non-causative association with blood pressure as well as the incidence of hypertension, but the evidence was far from being conclusive. Further research should be prompted for a thorough understanding of amino acid effects and synergistic actions of different amino acid classes on blood pressure regulation.

Issues in Measuring and Interpreting Diet and Its Contribution to Obesity

PURPOSE OF REVIEW

This review summarises the issues related to the measurement and interpretation of dietary intake in individuals with overweight and obesity, as well as identifies future research priorities.

RECENT FINDINGS

Some aspects of the assessment of dietary intake have improved through the application of technology-based methods and the use of dietary biomarkers. In populations with overweight and obesity, misreporting bias related to social desirability is a prominent issue. Future efforts should focus on combining technology-based dietary methods with the use of dietary biomarkers to help reduce and account for the impact of these biases. Future research will be important in terms of strengthening methods used in the assessment and interpretation of dietary intake data in the context of overweight and obesity.