The Food Propensity Questionnaire: Concept, Development, and Validation for Use as a Covariate in a Model to Estimate Usual Food Intake

Lipidomic and Fatty Acid Biomarkers in Whole Blood Can Predict the Dietary Intake of Eicosapentaenoic and Docosahexaenoic Acids in a Danish Population

BACKGROUND

The intake of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) have been associated with health benefits. Blood levels of these fatty acids, measured by gas chromatography (GC), are associated with their dietary intake, but the relationships with lipidomic measurements are not well defined.

OBJECTIVES

This study aimed to determine the lipidomic biomarkers in whole blood that predict intakes of EPA + DHA and examine the relationship between lipidomic and GC-based n-3 polyunsaturated fatty acid (n-3 PUFA) biomarkers.

METHODS

Lipidomic and fatty acid analyses were completed on 120 whole blood samples collected from Danish participants. Dietary intakes were completed using a web-based 7-d food diary. Stepwise multiple linear regression was used to identify the fatty acid and lipidomic variables that predict intakes of EPA + DHA and to determine lipidomic species that predict commonly used fatty acid biomarkers.

RESULTS

Stepwise regression selected lipidomic variables with an R2 = 0.52 for predicting EPA + DHA intake compared to R2 = 0.40 for the selected fatty acid GC-based variables. More predictive models were generated when the lipidomic variables were selected for females only (R2 = 0.62, n = 68) and males only (R2 = 0.72, n = 52). Phosphatidylethanolamine plasmalogen species containing EPA or DHA tended to be the most predictive lipidomic variables. Stepwise regression also indicated that selected lipidomic variables can predict commonly used fatty acid GC-based n-3 PUFA biomarkers as the R2 values ranged from 0.84 to 0.91.

CONCLUSIONS

Both fatty acid and lipidomic data can be used to predict EPA + DHA intakes, and fatty acid GC-based biomarkers can be emulated by lipidomic species. Lipidomic-based biomarkers appear to be influenced by sex differences, probably in n-3 PUFA and lipoprotein metabolism. These results improve our ability to understand the relationship between novel lipidomic data and GC fatty acid data and will increase our ability to apply lipidomic methods to fatty acid and lipid nutritional research.

The relationship between sleep quantity, sleep quality and weight loss in adults: A scoping review

Sleep is hypothesized to interact with weight gain and loss; however, modelling this relationship remains elusive. Poor sleep perpetuates a cascade of cardiovascular and metabolic consequences that may not only increase risk of adiposity, but also confound weight loss efforts. We conducted a scoping review to assess the research on sleep and weight loss interventions. We searched six databases for studies of behavioural weight loss interventions that included assessments of sleep in the general, non-clinical adult human population. Our synthesis focused on dimensions of Population, Intervention, Control, and Outcomes (PICO) to identify research and knowledge gaps. We identified 35 studies that fell into one of four categories: (a) sleep at baseline as a predictor of subsequent weight loss during an intervention, (b) sleep assessments after a history of successful weight loss, (c) concomitant changes in sleep associated with weight loss and (d) experimental manipulation of sleep and resulting weight loss. There was some evidence of improvements in sleep in response to weight-loss interventions; however, randomized controlled trials of weight loss interventions tended not to report improvements in sleep when compared to controls. We conclude that baseline sleep characteristics may predict weight loss in studies of dietary interventions and that sleep does not improve because of weight loss alone. Future studies should enrol large and diverse, normal, overweight and obese short sleepers in trials to assess the efficacy of sleep as a behavioural weight loss treatment.

Improving Pregnant Women's Iodine Intake Estimates and Its Prevalence of Inadequacy through the Use of Salt and Seasoning Covariates

(1) Measuring usual iodine intake is a complex task due to the food consumption variability and its natural concentration in food. Therefore, the use of covariates to adjust statistical methods to estimate usual intake could improve the estimates obtained through dietary surveys. This study aims to evaluate the influence of salt and seasoning usage covariates on the estimates of usual iodine intake and the prevalence of its inadequacy. (2) A cross-sectional study was conducted with Brazilian pregnant women's food consumption data obtained with 24-h recall (n = 2247). The usual iodine intake was adjusted for intraindividual variability, supplement use, temporal effects, data collection methods, and sociodemographic characteristics with the tool UCD/NCI SIMPLE in the SAS software. Then, salt and seasoning usage covariates were used to adjust the distribution. The harmonized intake reference values for populations were used to assess intake adequacy. (3) The adjustments for salt and seasoning usage yielded a higher mean of usual iodine intakes. The only exception was the adjustment for the "habit of adding salt to meals after preparing/cooking", which produced a lower mean of usual intake and increased the prevalence of insufficient intake. (4) Salt and seasoning usage covariates affect the estimates evaluated. However, more studies are necessary to evaluate the influence observed.

Association between the quality of plant-based diets and periodontitis in the U.S. general population

AIM

To investigate the relationship between plant-based diet indices (PDIs) and periodontitis and serum IgG antibodies against periodontopathogens in the U.S.

POPULATION

MATERIALS AND METHODS

We analysed cross-sectional data on 5651 participants ≥40 years of age from the Third National Health and Nutrition Examination Survey. Food frequency questionnaire data were used to calculate the overall PDI, healthy plant-based diet index (hPDI), and unhealthy plant-based diet index (uPDI). Periodontitis was defined using a half-reduced Centers for Disease Control and Prevention and American Academy of Periodontology case definition. Serum antibodies against 19 periodontopathogens were used to classify the population into two subgroups using hierarchical clustering. Survey-weighted multivariable logistic regressions were applied to assess the associations of PDI/hPDI/uPDI z-scores with periodontitis and hierarchical clusters after adjusting for potential confounders.

RESULTS

A total of 2841 (50.3%) participants were defined as having moderate/severe periodontitis. The overall PDI z-score was not significantly associated with the clinical and bacterial markers of periodontitis. By considering the healthiness of plant foods, we observed an inverse association between hPDI z-score and periodontitis (odds ratio [OR] = 0.925, 95% confidence interval [CI]: 0.860-0.995). In contrast, higher uPDI z-score (adherence to unhealthful plant foods) might increase the risk of periodontitis (OR = 1.100; 95% CI: 1.043-1.161). Regarding antibodies against periodontopathogens, the participants in cluster 2 had higher periodontal antibodies than those in cluster 1. The hPDI z-score was positively associated with cluster 2 (OR = 1.192; 95% CI: 1.112-1.278). In contrast, an inverse association between uPDI z-score and cluster 2 was found (OR = 0.834; 95% CI: 0.775-0.896).

CONCLUSIONS

Plant-based diets were associated with periodontitis, depending on their quality. A healthy plant-based diet was inversely related to an increased risk of periodontitis but positively related to elevated antibody levels against periodontopathogens. For an unhealthy plant-based diet, the opposite trends were observed.

Comparing the Diagnostic Accuracy of Measures of Maternal Diet During Pregnancy for Offspring Allergy Outcomes: The Healthy Start Study

BACKGROUND

Allergic diseases in children are increasing. Although maternal diet quality in pregnancy may be protective, it is unclear which measure of maternal diet best predicts offspring diseases.

OBJECTIVE

To examine the associations between multiple diet measures and allergy outcomes, and to compare the diagnostic accuracy of the measures for the prediction of allergy outcomes.

METHODS

Maternal diet during pregnancy was measured using a validated instrument, and scored using 5 measures: the maternal diet index (MDI), Healthy Eating Index, total diet diversity, healthy diet diversity, and unhealthy diet diversity. Unadjusted and adjusted logistic regression models assessed associations between maternal diet measures and offspring allergy outcomes up to age 4 years. The diagnostic accuracy of the diet measures was compared.

RESULTS

There were significant associations between MDI (odds ratio [OR], 0.78; 95% CI, 0.70-0.87), Healthy Eating Index (OR, 0.98; 95% CI, 0.97-0.99), and healthy diet diversity scores (OR, 0.91; 95% CI, 0.85-0.98) during pregnancy and the primary combined outcome "any allergy excluding wheeze" in children up to age 4 years. Neither maternal total diet diversity (OR, 0.99; 95% CI, 0.95-1.03) nor unhealthy diet diversity scores (OR, 1.05; 95% CI, 0.98-1.13) were associated with the "any allergy excluding wheeze" outcome. For all outcomes studied, except for food allergy, there was a significant difference in the diagnostic accuracy between the 5 measures of maternal diet. The area under the curve for MDI was highest for every disease outcome, although not always significantly higher.

CONCLUSIONS

Better quality and higher diversity of a woman's diet during pregnancy, measured in various ways, is associated with offspring allergy outcomes, with healthy foods associated with decreased risk, and unhealthy foods associated with a higher risk. The MDI, which appropriately weighted both healthy and unhealthy foods, best predicted childhood allergic disease.

Feeding Practices of Infants and Toddlers by Their Mothers in Selected Northern Emirates of the United Arab Emirates

Research on the feeding practices of infants and young children in the United Arab Emirates (UAE) is limited, especially in the northern regions of the country. A retrospective web-based survey was conducted to assess child feeding practices among the mothers of young children aged 6 months to 2.5 years in the northern emirates of the UAE. Information from a total of 475 mothers was collected on maternal socio-demographic factors, child feeding practices, and the use of vitamin and mineral supplements. For the first 6 months, 46.7% of the infants were exclusively breastfed, 43.8% were fed on both breastmilk and formula, and 9.5% were given formula only. Significant differences in the types of feeding were found correlating with maternal age (p = 0.02) and employment status (p < 0.001) but not with educational level, with a higher proportion of younger and unemployed women exclusively breastfeeding. However, although a significantly higher proportion of mothers with lower educational levels breastfed their children for ≥6 months (p = 0.026), they introduced “other milk” (non-breastmilk or formula) before the child reached the age of 12 months (p = 0.022). In this study, 22.1% of the infants and 8.1% of the toddlers did not receive an animal source of iron, while 52.6% of the children received vitamin/mineral supplements. The median daily frequency intake of sweets and savory snacks was substantially higher than the respective intake of fruits and vegetables. Intervention programs that focus on healthy infant and toddler feeding, including food sources of iron and nutrient-dense food groups, are needed in the UAE.

Nutritional status and eating habits of patients with hereditary ataxias: a case-control study

INTRODUCTION

Hereditary Ataxias (HAs) comprise a wide spectrum of genetically determined neurodegenerative diseases with progressive ataxia as the main symptom. Few studies have evaluated nutritional profile in HA patients and most of these focused on specific ataxia subtypes. The objectives of this study were: (1) to investigate whether hereditary ataxias were associated with changes in energy expenditure, body composition and dietary intake; (2) to verify differences in these variables according to ataxia subtype, sex, age, and disease severity.

METHODS

Thirty-eight hereditary ataxia patients from two neurology centers in Northeastern Brazil and 38 controls were evaluated. Body composition was assessed with bio-impedance analysis and dietary intake was estimated with a validated questionnaire (24-hour dietary recall).

RESULTS

Mean body mass index (BMI) was lower in HA compared to controls (p = 0.032). Hereditary ataxia patients showed lower protein intake, higher frequency of dysphagia and higher incidence of nausea and diarrhea. The difference in average estimated caloric intake did not reach statistical significance (2359kcal ± 622 in patients × 2713kcal ± 804 in controls, p = 0.08). Disease severity measured by the SARA scale was not associated with BMI, nor was ataxia subtype (autosomal dominant × non-autosomal dominant ataxias).

CONCLUSION

Hereditary ataxia patients have lower BMI compared to healthy controls. There was no difference in this cohort between dominant or non-dominant ataxia regarding BMI. Weight loss may be a common finding among hereditary ataxias and may affect the quality of life in these patients.

Valuing the Diversity of Research Methods to Advance Nutrition Science

The ASN Board of Directors appointed the Nutrition Research Task Force to develop a report on scientific methods used in nutrition science to advance discovery, interpretation, and application of knowledge in the field. The genesis of this report was growing concern about the tone of discourse among nutrition professionals and the implications of acrimony on the productive study and translation of nutrition science. Too often, honest differences of opinion are cast as conflicts instead of areas of needed collaboration. Recognition of the value (and limitations) of contributions from well-executed nutrition science derived from the various approaches used in the discipline, as well as appreciation of how their layering will yield the strongest evidence base, will provide a basis for greater productivity and impact. Greater collaborative efforts within the field of nutrition science will require an understanding that each method or approach has a place and function that should be valued and used together to create the nutrition evidence base. Precision nutrition was identified as an important emerging nutrition topic by the preponderance of task force members, and this theme was adopted for the report because it lent itself to integration of many approaches in nutrition science. Although the primary audience for this report is nutrition researchers and other nutrition professionals, a secondary aim is to develop a document useful for the various audiences that translate nutrition research, including journalists, clinicians, and policymakers. The intent is to promote accurate, transparent, verifiable evidence-based communication about nutrition science. This will facilitate reasoned interpretation and application of emerging findings and, thereby, improve understanding and trust in nutrition science and appropriate characterization, development, and adoption of recommendations.

Biscuit consumption and diabetic retinopathy incidence in adults in the United States

BACKGROUND

Foods have a considerable influence on human health and were directly related to glycemic control for diabetes patients. However, little is known about the effects of biscuits, a traditional food consumed in large amounts in several countries, on diabetic retinopathy. This study aimed to explore the association between biscuit consumption and diabetic retinopathy prevalence in adults of the United States population.

METHODS

A cross-sectional study with 1904 participants from the National Health and Nutrition Examination Survey database were included in this population-based, cross-sectional study. The association between different consumption frequencies of biscuit and diabetic retinopathy prevalence was evaluated using a binary logistic regression model. Trend test, stratified and interaction analyses were also performed.

RESULTS

After possible confounders including sex, age, ethnicity, education, marital status, family poverty income ratio, smoking and alcohol consumption habit, fasting blood glucose level, hemoglobin A1c level, diagnosis of diabetes, insulin use, blood pressure, body mass index were adjusted, the participants who consumed biscuit 1-11 times a year, 1-3 times a month, and more than once a week had a 139.8% (95% confidence interval, 1.003-5.734), 182.1% (95% confidence interval, 1.106-7.191), and 236.2% (95% confidence interval, 1.335-9.844) higher risk of diabetic retinopathy prevalence, respectively, compared with those who never ate biscuit. For male, non-Hispanic, and overweight (body mass index ≥ 25 kg/m²) subgroups, the trend test demonstrated that the diabetic retinopathy prevalence significantly elevated with increased frequency of biscuit consumption (P _trend = 0.021, 0.009, and 0.002, respectively). The interaction analysis suggested that no aforementioned confounders played an interactive role in the relationship between biscuit consumption and diabetic retinopathy prevalence.

CONCLUSIONS

The risk of diabetic retinopathy was positively associated with biscuit consumption. Moreover, for male, non-Hispanic, or overweight individuals, the risk of diabetic retinopathy significantly increased with the frequency of biscuit consumption.

Low Meat Consumption in the Netherlands Is Associated With Higher Intake of Fish, Nuts, Seeds, Cheese, Sweets, and Snacks: Results From a Two-Part Model

Studies on sustainable diets show a need for replacement of animal-based foods by plant-based foods, which is also called “the protein transition.” To gain insight into the acceptability of such diet shifts, this study evaluated which current food sources people consume at varying amounts of meat consumption. The study population consisted of 4,313 participants aged 1–79 years of the Dutch National Food Consumption Survey 2012–2016, which assessed diet using two nonconsecutive 24-h dietary recalls. A two-part statistical model was used that accounts for both repeated measures and the correlation between probability and amount of consumption. Results are presented for quartiles of low to high meat consumption, by age and sex. Depending on age and sex, a higher consumption of fish (>100%), nuts and seeds (73–156%), cheese (34–111%), and sweets and snacks (28–81%) is observed in the lowest quartile of meat consumption compared to the highest. For fish, nuts, seeds, and cheese, this increase is mainly due to probability of consumption (>100%, 61–93%, and 16–64%, respectively). For sweets and snacks, the increase is mainly due to the amount of consumption (26–72%). Probability of potato consumption is 29–51% lower at low meat consumption. Vegetable consumption is lower mainly due to amount of consumption (6–29%). The results from the two-part model suggest that shifting away from a traditional Dutch high meat-vegetable-potatoes pattern is associated with higher probability of consuming fish, nuts and seeds, and cheese, but also increased amounts of sweets and snacks. This illustrates that analyzing the probability and amount part separately in relation to behavioral or physiological determinants extends our understanding of the diet according to meat consumption. These insights are important when developing realistic and acceptable food-based dietary guidelines for meat reduction.

Nutrient Intakes among Brazilian Children Need Improvement and Show Differences by Region and Socioeconomic Level

Brazil is the most populous country in South America. Using 24 h dietary data, we compared the nutrient intakes of 4–13-year-olds to reference values and tested for regional and socioeconomic (SES) differences. A considerable proportion reported intakes below the Estimated Average Requirements (EAR) for vitamins E (78.1%, 96.5%), D (100% for both), and calcium (80.5%, 97.7%) for 4–8 and 9–13-year-olds, respectively. Few exceeded Adequate Intakes (AI) for potassium or fiber. Older children reported greater inadequacies and, while there was regional variability, patterns of inadequacy and excess tended to be similar. For vitamin C, the percent of children below EAR in the Northeast and Southeast was lower than in the South. Most children, regardless of SES, had energy intakes within the Acceptable Macronutrient Distribution Ranges (AMDRs) for carbohydrates and protein. Over a quarter reported total energy from fat less than the AMDR, and inversely associated with SES (low 50.9%, moderate 26.0%, and high 15.0%), but also exceeding the percentage of energy recommendation for saturated fat, increasing with SES (low 18.1%, moderate 38.9%, and high 48.8%). The contrast observed between the diets of young Brazilians and recommendations underscores the need for individual and regional environmental interventions to promote healthier dietary patterns.

Identification of pesticides exposure biomarkers for residents living close to vineyards in France

Biomonitoring can be relevant for assessing pesticides exposure of residents living close to vineyards (LCTV). However, because xenobiotics are generally present at low levels in human biological matrices and the sources of pesticide exposure are multiple, several challenges need to be overcome to reliably assess exposure in residents LCTV. This includes particularly identifying the most appropriate exposure biomarkers, the biological matrices in which they should be measured, and analytical methods that are sufficiently sensitive and specific to quantify them. The aim of the present study was to develop a tiered approach to identify relevant biomarkers and matrices for assessing pesticide exposure in residents LCTV. We used samples from a biobank for 121 adults and children included in a national prevalence study conducted between 2014 and 2016 who lived near or far from vineyards. We analyzed five priority pesticides (folpet, mancozeb, tebuconazole, glyphosate, and copper) and their metabolites in urine and hair samples. We identified relevant biomarkers according to three criteria related to: i) the detection frequency of those pesticides and metabolites in urine and hair, ii) the difference in concentrations depending on residence proximity to vineyards and, iii) the influence of other environmental and occupational exposure sources on pesticide levels. This tiered approach helped us to identify three relevant metabolites (two metabolites of folpet and one of tebuconazole) that were quantified in urine, tended to be higher in residents LCTV than in controls, and were not significantly influenced by occupational, dietary, or household sources of pesticide exposure. Our approach also helped us to identify the most appropriate measurement strategies (biological matrices, analytical methods) to assess pesticide exposure in residents LCTV. The approach developed here was a prerequisite step for guiding a large-scale epidemiological study aimed at comprehensively measuring pesticides exposures in French residents LCTV with a view to developing appropriate prevention strategies.

The maternal diet index in pregnancy is associated with offspring allergic diseases: the Healthy Start study

BACKGROUND

A systematic review showed limited associations between pregnancy diet and offspring allergy. We developed a maternal diet index during pregnancy that was associated with offspring allergy outcomes.

METHODS

Data came from Healthy Start, a Colorado pre-birth cohort of mother/offspring dyads. Food propensity questionnaires were completed during pregnancy. Offspring allergic rhinitis, atopic dermatitis, asthma, wheeze, and food allergy diagnosis up to age four were verified from electronic medical records. Data were randomized into test and replication sets. The index included the weighted combination of variables that best predicted a combined outcome of any allergy in the test set. Index utility was verified in the replication set. Separate adjusted and unadjusted logistic models estimated associations between the index and each offspring allergy diagnosis in the full sample.

RESULTS

The index included weighted measures of intake of vegetables, yogurt, fried potatoes, rice/grains, red meats, pure fruit juice, and cold cereals. Vegetables and yogurt were associated with the prevention of any allergy, while other components were associated with increased disease. In adjusted models, a one-unit increase in the index was significantly associated with reduced odds of offspring allergic rhinitis (odds ratio (CI) 0.82 [0.72-0.94]), atopic dermatitis (0.77 [0.69-0.86]), asthma (0.84 [0.74-0.96]), and wheeze (0.80 [0.71-0.90]), but not food allergy (0.84 [0.66-1.08]).

CONCLUSIONS

This is the first study that has shown associations between an index of maternal dietary intake during pregnancy and multiple offspring allergic diseases. The results give hope for prevention of allergic diseases in utero.

Vitamin D, Calcium, Magnesium, and Potassium Consumption and Markers of Glucose Metabolism in the Hispanic Community Health Study/Study of Latinos

OBJECTIVE

This was a cross-sectional study associating vitamin D, calcium, magnesium, and potassium intakes with markers of glucose metabolism in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

METHODS

HCHS/SOL is a multicenter, prospective, population-based cohort study on Hispanics/Latinos aged 18-74 years in the US. For this analysis, we included 10,609 participants who were free of diabetes. Analysis of covariance was used to assess associations of a range of micronutrient intake on the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), Hemoglobin A1c (HbA1c), and 2-hour post-oral glucose tolerance test (2h-plasma glucose) separately for normoglycemic and with pre-diabetes, after controlling for important confounders. All analyses accounted for the complex sample design and sampling weights.

RESULTS

HOMA-IR levels were significantly lower among adults with intakes in the highest quartile for vitamin D, magnesium, and potassium compared to the respective lowest quartiles, for those with normoglycemia and pre-diabetes, even after adjusting for confounders, such as diet quality (p < 0.05). For those with pre-diabetes, HOMA-IR levels were also significantly lower for those in the highest quartile of calcium intake. However, 2h-plasma glucose was significantly higher in those with intakes higher than quartile 1 for vitamin D and calcium among those with normoglycemia and significantly higher in quartile 3 of potassium intake for those with pre-diabetes, p < 0.05. No significant associations were found for HbA1c in either group.

CONCLUSIONS

Higher consumption of vitamin D, magnesium, and potassium are associated with optimal levels of HOMA-IR among participants with normoglycemia and pre-diabetes.

The relationship between diet and sleep in 2-y-old children: Results from Growing Up in New Zealand

OBJECTIVES

This study aimed to examine the relationship between dietary practices and sleep in young children.

METHODS

In this study, 2-y-old children (n = 6327) and their mothers were enrolled at birth and during pregnancy, respectively. The study obtained maternal demographic, health, and lifestyle data during late pregnancy. Parents reported the 2-y-old child's dietary practices on a food frequency questionnaire, as well as sleep duration and night-waking frequency. Measures of dietary intake quantified servings per day for each food group (grouped as low/moderate/high intake). Sleep measures were as inadequate sleep when <11 h sleep in a 24-h period and increased night waking when waking ≥2 times per night. Multivariable logistic regression analyses examined associations between toddler diet and sleep, which were described using adjusted odds ratios (ORs) and 95% confidence intervals.

RESULTS

In this study, 2-y-old children (n = 6288) slept for a mean of 12.3 hours (standard deviation: ±1.5 hours) over a 24-h period, with 734 children (12%) getting <11 h of sleep in 24 h. Increased night waking occurred in 1063 children (17%). Compared with low intake, high soft drink/snack/fast food intake was associated with inadequate sleep (OR: 1.37) and increased night waking (OR: 1.34). High milk/cheese/yoghurt intake (OR: 1.55) was associated with increased odds of night waking, but moderate (OR: 0.81) or high (OR: 0.78) vegetable intake was associated with decreased odds of night waking. Exposure to screens (OR: 1.28) and heavy maternal cigarette smoking (OR: 2.20) were also associated with inadequate sleep and increased night waking, respectively.

CONCLUSIONS

At age 2 y, higher consumption of soft drinks/snacks/fast foods is associated with shorter, more disrupted sleep. Conversely, higher vegetable consumption is associated with less disrupted sleep. Dietary modifications may improve toddlers' sleep.

A mothers' perspective on fish and her child's fish consumption in Surakarta, Indonesia

BACKGROUD/OBJECTIVES

Understanding the factors associated with fish consumption is necessary to determine strategies to improve the fish consumption particularly those high in omega-3 long chain polyunsaturated fatty acids (n-3 LCPUFA). The aim of this study was to analyse the correlation between a mother's perspective on fish and actual fish consumption in their children.

SUBJECTS/METHODS

Two hundred thirty-one elementary school children grade 3-6 and their mothers in Surakarta were recruited using multi stage random sampling for this study. Data was collected in July and August 2017. A validated questionnaire consisted of 3 topics including knowledge related to the health benefits and organoleptic properties of fish and cooking technique-related attitudes on fish were used to measure the mother's response to the fish properties. A validated food frequency questionnaire and a food picture book of fish specifically designed for the survey were developed and used to assess fish consumption of the children. A χ² test was used to analyse the correlation between the mothers' perspective on fish and their children's fish consumption.

RESULTS

The median fish consumption in children was 65 g/d with fried non-oily or lean fish, e.g., milkfish (locally called Bandeng) and catfish (locally called Lele) were consumed more than oily fish as well as processed fish products. Of all children, 31% met the fish consumption recommended by the Environmental Protection Agency-Food and Drug Administration 2017. There was no relationship between a mother's knowledge related to health benefits, organoleptic properties and cooking technique-related attitude toward fish and her child's fish consumption.

CONCLUSIONS

The fish consumption of children is not influenced by their mother's perspective on fish. Nutrition education strategies are warranted to improve fish consumption and maintain the optimal benefits by consuming fish, including fish high in n-3 LCPUFA.

Association of Sugar-Sweetened Beverage Consumption with Prediabetes and Glucose Metabolism Markers in Hispanic/Latino Adults in the United States: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

BACKGROUND

Both the incidence of diabetes mellitus and consumption of sugar-sweetened beverages are high in the Hispanic/Latino population in the United States. The associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers in the diverse Hispanic/Latino population in the United States are unknown.

OBJECTIVES

The objective of this study was to examine the cross-sectional associations between consumption of sugar-sweetened beverages, artificially sweetened beverages, and 100% fruit juice with prediabetes and glucose metabolism markers such as fasting glucose and insulin, 2-h oral-glucose-tolerance test, HOMA-IR, HOMA index for β-cell function (HOMA-B), and glycated hemoglobin (HbA1c) among US Hispanic/Latino adults.

METHODS

Using baseline data from the Hispanic Community Health Study/Study of Latinos (2008-2011), beverage consumption was ascertained using two 24-h dietary recalls and a food propensity questionnaire. Diabetes/prediabetes status was defined by self-report, antihyperglycemic medication use, and American Diabetes Association laboratory criteria. Among 9965 individuals without diabetes (5194 normoglycemia, 4771 prediabetes) aged 18-74 y, the associations of beverage consumption with prediabetes and glucose metabolism markers were analyzed using logistic and linear regressions, respectively, accounting for complex survey design.

RESULTS

Compared with individuals who consumed <1 serving/d (<240 mL/d) of sugar-sweetened beverages, individuals who consumed >2 servings/d (>480 mL/d) had 1.3 times greater odds of having prediabetes (95% CI: 1.06, 1.61) and higher glucose metabolism markers including fasting glucose, fasting insulin, HOMA-IR, and HbA1c. Consumption of artificially sweetened beverages showed an inverse association with β-cell function (HOMA-B). Intake of 100% fruit juice was not significantly associated with prediabetes nor with glucose metabolism markers.

CONCLUSIONS

Among US Hispanic/Latino adults, higher sugar-sweetened beverage consumption was associated with increased odds of prediabetes and higher glucose metabolism markers. Public health initiatives to decrease sugar-sweetened beverage consumption could potentially reduce the burden of diabetes among Hispanics/Latinos in the United States.

Dietary Patterns, Adherence to the Food-Based Dietary Guidelines, and Ultra-Processed Consumption During the COVID-19 Lockdown in a Sample of Spanish Young Population

Purpose: The aim of this study was to explore the dietary patterns, adherence to Food-Based Dietary Guidelines, and the ultra-processed consumption during the COVID-19 lockdown among a Spanish young population aged 3-17 years. Methods: Parents/legal guardians of preschoolers, children, and adolescents aged 3-17 years were enrolled through social networks. The eating habits were assessed by a Food Propensity Questionnaire applied in the ENALIA (Encuesta Nacional de Alimentación en la población Infantil y Adolescente) Spanish survey, which aims to collect food intake information and other data about eating habits on children and adolescents (0-18 years old). Participants were dichotomized following the Food-Based Dietary Guidelines for the Spanish young population offered by the Spanish Society of Community Nutrition. The ultra-processed food score was determined following the principles established in the NOVA classification. Results: Data from 604 children and adolescents were included. An association between age group and the recommendations of snacks (p = 0.002), fruits (p = 0.010), and diaries (p < 0.001) was found. Adolescents showed a lower mean compliance with these guidelines than children (p = 0.004) and preschoolers (p < 0.001). Similarly, children reported lower Food-Based Dietary Guidelines than preschoolers (p = 0.015). Regarding ultra-processed consumption, it was also observed a higher intake in adolescents than in children (p = 0.037), as well as in preschoolers (p < 0.001). Conclusions: The associations that were found highlight the low proportion of the young population (especially adolescents) meeting the Food-Based Dietary Guidelines and the high consumption of ultra-processed foods during COVID-19 lockdown.

Sensitivity of Food-Based Recommendations Developed Using Linear Programming to Model Input Data in Young Kenyan Children

Food-based recommendations (FBR) developed using linear programming generally use dietary intake and energy and nutrient requirement data. It is still unknown to what extent the availability and selection of these data affect the developed FBR and identified problem nutrients. We used 24 h dietary recalls of 62 Kenyan children (4-6 years of age) to analyse the sensitivity of the FBR and problem nutrients to (1) dietary intake data, (2) selection criteria applied to these data and (3) energy and nutrient requirement data, using linear programming (Optifood©), by comparing a reference scenario with eight alternative scenarios. Replacing reported by estimated consumption frequencies increased the recommended frequencies in the FBR for most food groups while folate was no longer identified as a problem nutrient. Using the 10-90th instead of the 5-95th percentile of distribution to define minimum and maximum frequencies/week decreased the recommended frequencies in the FBR and doubled the number of problem nutrients. Other alternative scenarios negligibly affected the FBR and identified problem nutrients. Our study shows the importance of consumption frequencies for developing FBR and identifying problem nutrients by linear programming. We recommend that reported consumption frequencies and the 5-95th percentiles of distribution of reported frequencies be used to define the minimum and maximum frequencies.

Association between dietary patterns and prediabetes, undetected diabetes or clinically diagnosed diabetes: results from the KORA FF4 study

PURPOSE

Diet is one of the most important modifiable risk factors for the development of type 2 diabetes. Here, we aim to identify dietary patterns and to investigate their association with prediabetes, undetected diabetes and prevalent diabetes.

METHODS

The present study included 1305 participants of the cross-sectional population-based KORA FF4 study. Oral glucose tolerance test (OGTT) measurements together with a physician-confirmed diagnosis allowed for an accurate categorization of the participants according to their glucose tolerance status into normal glucose tolerance (n = 698), prediabetes (n = 459), undetected diabetes (n = 49), and prevalent diabetes (n = 99). Dietary patterns were identified through principal component analysis followed by hierarchical clustering. The association between dietary patterns and glucose tolerance status was investigated using multinomial logistic regression models.

RESULTS

A Prudent pattern, characterized by high consumption of vegetables, fruits, wholegrains and dairy products, and a Western pattern, characterized by high consumption of red and processed meat, alcoholic beverages, refined grains and sugar-sweetened beverages, were identified. Participants following the Western pattern had significantly higher chances of having prediabetes (odds ratio [OR] 1.92; 95% confidence interval [CI] 1.35, 2.73), undetected diabetes (OR 10.12; 95% CI 4.19, 24.43) or prevalent diabetes (OR 3.51; 95% CI 1.85, 6.67), compared to participants following the Prudent pattern.

CONCLUSION

To our knowledge, the present study is one of the few investigating the association between dietary patterns and prediabetes or undetected diabetes. The use of a reference group exclusively including participants with normal glucose tolerance might explain the strong associations observed in our study. These results suggest a very important role of dietary habits in the prevention of prediabetes and type 2 diabetes.

Impact of Plant-Based Diet on PSA Level: Data From the National Health and Nutrition Examination Survey

OBJECTIVE

To determine the potential association between plant-based dietary content and PSA levels among men enrolled in the National Health and Nutrition Examination Survey (NHANES).

METHODS

Data on demographics, diet, and PSA levels was acquired from the NHANES database. Plant-based diet index (PDI) and healthful plant-based diet index (hPDI) were calculated using food frequency questionnaires. A higher score on PDI and hPDI indicates higher consumption of plant foods or healthy plant foods, respectively. Multivariable-adjusted logistic regression analysis was performed to determine the association between elevated PSA, clinical variables, demographics, and plant-based diet indices.

RESULTS

A total of 1399 men were included in the final cohort. Median age of participants was 54 [46-63] years. Median PSA level was 0.9 [0.6-1.5] ng/dL, and 69 (4.9%) men had a PSA level ≥4 ng/dL. Although there was no association between elevated PSA and PDI, on multivariable analysis patients with higher consumption of healthy plant-based diet (high hPDI scores) had a decreased probability of having an elevated PSA (OR = 0.47, 95% CI: 0.24-0.95; P = .034).

CONCLUSION

There is a significant association between increased consumption of a healthy plant-based diet and lower PSA levels. This finding may be incorporated into the shared-decision making process with patients to promote healthier lifestyle choices to reduce the likelihood of prostate biopsy and potential treatment-related morbidity.

Development and validation of a short culture-specific food frequency questionnaire for Greek pregnant women and their adherence to the Mediterranean diet

OBJECTIVES

The aim of this study was to develop and evaluate the validity of a short, culture-specific, semiquantitative food frequency questionnaire (FFQ) for Greek dietary habits and among a population of pregnant women, and to assess the adherence of reported nutritional habits to the Mediterranean diet.

METHODS

The validity of the FFQ was assessed by comparing FFQ-derived nutrient intakes against the average of two 24-h dietary recalls of 70 pregnant women. We used appropriate statistical methods to examine the nutrient correlation and level of agreement between the two figures (Pearson or Spearman correlation and Bland-Altman test, respectively). Calculation of the Mediterranean Diet Score was performed to evaluate participants' adherence to the Mediterranean diet.

RESULTS

Statistically significant positive correlations, of medium strength, were observed for almost all macronutrient groups (ρs ranging from 0.326 to 0.538). Dietary fiber intake was the only nutrient where a weak correlation was identified (ρ = -0.106; P > 0.05). Mean intakes, derived from the FFQ, agreed with results from the 24-h recalls based on Bland-Altman analysis, with the agreement ranging between 94.3% and 98.6% for the macronutrient groups under examination. The calculation of the Mediterranean Diet Score revealed that Greek pregnant women's habits are in accordance with the principles of the Mediterranean diet.

CONCLUSIONS

The developed FFQ is a valid tool that could provide reliable nutrient intake assessment in studies monitoring dietary habits of pregnant women, a group where nutritional monitoring is essential but to date remains limited.

Overview of dietary assessment methods for measuring intakes of foods, beverages, and dietary supplements in research studies

Measuring the dietary intakes of individuals for research and monitoring purposes is notoriously challenging and is subject to both random and systematic measurement error. In this review, the strengths and limitations of current methods to assess dietary and supplemental exposures are described. Traditional methods of dietary assessment include food records, food frequency questionnaires, 24-hour recalls, and screening tools; digital and mobile methods that leverage technology are available for these traditional methods. Ultimately, the choice of assessment method is dependent upon the research question, the study design, sample characteristics, and the size of the sample, to name just a few. Despite their challenges, dietary assessment tools are an important dimension of nutrition research and monitoring.

High fructose corn syrup, excess-free-fructose, and risk of coronary heart disease among African Americans- the Jackson Heart Study

BACKGROUND

Researchers have sought to explain the black-white coronary heart disease (CHD) mortality disparity that increased from near parity to ~ 30% between 1980 and 2010. Contributing factors include cardiovascular disease prevention and treatment disparities attributable to disparities in insurance coverage. Recent research suggests that dietary/environmental factors may be contributors to the disparity. Unabsorbed/luminal fructose alters gut bacterial load, composition and diversity. There is evidence that such microbiome disruptions promote hypertension and atherosclerosis. The heart-gut axis may, in part, explain the black-white CHD disparity, as fructose malabsorption prevalence is higher among African Americans. Between 1980 and 2010, consumption of excess-free-fructose-the fructose type that triggers malabsorption-exceeded dosages associated with fructose malabsorption (~ 5 g-10 g), as extrapolated from food availability data before subjective, retroactively-applied loss adjustments. This occurred due to an industrial preference shift from sucrose to high-fructose-corn-syrup (HFCS) that began ~ 1980. During this period, HFCS became the main sweetener in US soda. Importantly, there has been more fructose in HFCS than thought, as the fructose-to-glucose ratio in popular sodas (1.9-to-1 and 1.5-to-1) has exceeded generally-recognized-as-safe levels (1.2-to-1). Most natural foods contain a ~ 1-to-1 ratio. In one recent study, ≥5 times/wk. consumers of HFCS sweetened soda/fruit drinks/and apple juice-high excess-free-fructose beverages-were more likely to have CHD, than seldom/never consumers.

METHODS

Jackson-Heart-Study data of African Americans was used to test the hypothesis that regular relative to low/infrequent intake of HFCS sweetened soda/fruit drinks increases CHD risk, but not orange juice-a low excess-free-fructose juice. Cox proportional hazards models were used to calculate hazard ratios using prospective data of 3407-3621 participants, aged 21-93 y (mean 55 y).

RESULTS

African Americans who consumed HFCS sweetend soda 5-6x/wk. or any combination of HFCS sweetened soda and/or fruit drinks ≥3 times/day had ~ 2 (HR 2.08, 95% CI 1.03-4.20, P = 0.041) and 2.5-3 times higher CHD risk (HR 2.98, 95% CI 1.15-7.76; P = 0.025), respectively, than never/seldom consumers, independent of confounders. There were no associations with diet-soda or 100% orange-juice, which has a similar glycemic profile as HFCS sweetened soda, but contains a ~ 1:1 fructose-to-glucose ratio.

CONCLUSION

The ubiquitous presence of HFCS in the food supply may pre-dispose African Americans to increased CHD risk.

Rapid Ethnonutrition Assessment Method Is Useful to Prototype Dietary Assessments with a Focus on Local Biodiverse Food Plants

Ethnonutrition is the study of diets in the context of food systems of different peoples and cultures. Its scope comprises native or local categories used to classify food, and also includes biodiverse food availability, local culinary techniques, seasonality, and cultural perceptions related to diet with nutritional implications. Here, we describe a method useful for gathering ethnonutrition data to design dietary interventions or assessments, the Rapid Ethnonutrition Assessment (REA). REA is a tool that offers food and nutrition research a broad biocultural view of diets, considering food system-level, by prototyping dietary assessments with high efficiency. This method permits us to prevent misinterpretations that lead to wrong conclusions in nutritional research.

Nutrition and Breast Cancer Research in Arab Countries: Gaps, Opportunities, and Recommendations

According to the WHO, Arab countries have the highest relative increase in Breast Cancer (BC) rates worldwide. Current shifts in dietary patterns in these countries are postulated as important modifiable risk factors of the disease. The objectives of this review were to examine the gaps and opportunities in the extent, range and nature of nutrition-related BC research in Arab countries. Studies (n = 286) were identified through searching 14 electronic databases. Among the gaps identified were limited international collaborations, preponderance of laboratory-based research at the expense of population-based research, focus on single supplement/nutrient/food research, limited use of dietary assessment tools, and studying nutrition in isolation of other environmental factors. Despite these gaps, several opportunities appeared. The distribution of papers among Arab countries suggested that collaboration between high and middle income countries could create a positive synergy between research expertise and wealth. In addition, the steady increase in the number of articles published during the last two decades reflected a promising momentum in nutrition and BC research in the Arab world. These gaps and opportunities constituted context-specific evidence to orient nutrition and BC research in Arab countries which could ultimately lead to development of effective interventions for prevention of BC in these countries.

Correcting for Intra-Individual Variability in Sodium Excretion in Spot Urine Samples Does Not Improve the Ability to Predict 24 h Urinary Sodium Excretion

Given a global focus on salt reduction efforts to reduce cardiovascular risk, it is important to obtain accurate measures of salt intake on a population level. This study determined firstly whether adjustment for intra-individual variation in urinary sodium (Na) excretion using three repeated 24 h collections affects daily estimates and whether the use of repeated spot urine samples results in better prediction of 24 h Na compared to a single collection. Twenty three community-dwelling men and women from South Africa (mean age 59.7 years (SD = 15.6)) participating in the World Health Organization Study on global AGEing and adult health (WHO-SAGE) Wave 3 study collected 24 h and spot early morning urine samples over three consecutive days to assess urinary Na excretion. INTERSALT, Tanaka, and Kawasaki prediction equations, with either average or adjusted spot Na values, were used to estimate 24 h Na and compared these against measured 24 h urinary Na. Adjustment was performed by using the ratio of between-person (sb) and total (sobs) variability obtained from repeated measures analysis of variance. Sensitivity of the equations to predict daily urinary Na values below 5 g salt equivalent was calculated. The sb/sobs for urinary Na using three repeated samples for spot and 24 h samples were 0.706 and 0.798, respectively. Correction using analysis of variance for 3 × 24 h collections resulted in contraction of the upper end of the distribution curve (90th centile: 157 to 136 mmoL/day; 95th centile: 220 to 178 mmoL/day). All three prediction equations grossly over-estimated 24 h urinary Na excretion, regardless of whether a single spot urine or repeated collections corrected for intra-individual variation were used. Sensitivity of equations to detect salt intake equivalent values of ≤5 g/day was 13% for INTERSALT, while the other two equations had zero sensitivity. Correcting for intra-individual variability in Na excretion using three 24 h urine collections contracted the distribution curve for high intakes. Repeated collection of spot samples for urinary Na analysis does not improve the accuracy of predicting 24 h Na excretion. Spot urine samples are not appropriate to detect participants with salt intakes below the recommended 5 g/day.

Excess free fructose, apple juice, high fructose corn syrup and childhood asthma risk - the National Children's Study

BACKGROUND

Recent research provides consistent evidence that the unexplained doubling of childhood asthma prevalence (1980-1995), its continued climb and 2013 plateau, may be associated with the proliferation of high-fructose-corn-syrup (HFCS) in the US food supply. The HFCS used in soft drinks has been shown to contain a higher fructose-to-glucose ratio than previously thought. This coincides with a preference shift from orange to apple juice among young children. Apple juice naturally contains a high (≥2:1) fructose-to-glucose ratio. Thus, children have received high excess-free-fructose doses, the fructose type associated with fructose malabsorption. Unabsorbed excess-free-fructose in the gut may react with dietary proteins to form immunogens that bind asthma mediating receptors, and/or alter the microbiota towards a profile linked to lung disorders. Studies with longitudinal childhood data are lacking. Therefore, we tested the hypothesis that excess-free-fructose intake is associated with childhood asthma risk.

METHODS

Cox regression models were used to analyze prospective early childhood data (12-30 months of age) from the National Children's Study. Intake frequencies for soda/sports/fruit drinks, and 100% juices were used for analyses.

RESULTS

Greater consumption of 100% juice, soda/sports/fruit drinks, and any combination, was associated with ~two (P = 0.001), ~ 2.5 (P = 0.001), and ~ 3.5 times (P < 0.0001) higher asthma incidence.

CONCLUSIONS

Given these results, prior research and case-study evidence, it is reasonable to suggest that the two-fold higher asthma risk associated with 100% juice consumption is due to apple juice's high fructose-to-glucose ratio, and that the ~ 2.5/~ 3.5 times higher risk associated with soda/sports/fruit drinks intake is with the excess-free-fructose in HFCS.

Validation of a Food Propensity Questionnaire for the Hellenic National Nutrition and Health Survey (HNNHS) and Results on This Population's Adherence to Key Food-Group Nutritional Guidelines

Background: Food propensity questionnaires (FPQs) are means of dietary assessment in nutritional epidemiology, which provide valuable information for long term intakes and food group consumption. These tools, however, may be subjected to misreporting and need to be validated against standard quantitative methods. Aim: The aim of this study was to examine the validity of the qualitative FPQ developed to assess the dietary habits of the general population in Greece during the Hellenic National Nutrition and Health Survey (HNNHS) and to assess the population’s intake of specific food groups in relation to guidelines. Methods: Validation analysis was based on 3796 [1543 men (42.82%) and 2253 women (57.18%)] participants of the HNNHS in relation to two interviewer-administered 24 h recalls (24 hR). Participants were asked to report the frequency of their dietary intake, using the FPQ provided. Correlations and significance between methods were assessed via Spearman correlation and a Two-sample Wilcoxon rank-sum (Mann-Whitney) test, respectively. Agreement between the FPQ and the 24 hR was performed using the Bland–Altman test and differences between the FPQ’s shown intakes and the recommended intakes by the Dietary Guidelines for Greek Adults were calculated. Results: Medium to weak correlations, but statistically significant (p < 0.05), were observed for most food groups between 24 hR and the FPQ; medium for fruits, dairy products, drinks, and spirits (ranging from ρ = 0.371 to ρ = 0.461; highest for drinks and spirits) and weak for vegetables, meat, fish, eggs, starch foods, sweets, nuts, fats and oils, and fast food (ρ = 0.111 to ρ = 0.290; lowest for starch foods). A non-significant correlation was found for legumes (ρ = 0.070). The mean intake agreement (Bland–Altman analysis) between the FPQ and the 24 hR was 96.08% and ranged from 94.43 to 99.34% for the 14 food groups under examination. When food group intakes were compared to guidelines, results showed that the population’s dietary intake was below the guidelines for fruits, vegetables, whole grains, fish, and legumes. On the other hand, it was above the guidelines for most of the “unhealthy” food groups, in particular, fast food, sweets, drinks and spirits, red meat, and sweets. Conclusions: The specific FPQ provides valid information on major food groups and can be used to examine long term dietary patterns in nutritional studies. Ιn addition, dietary intakes of Greek adults are problematic and initiatives at the public health level are necessary.

Chocolate consumption and the prevalence of metabolic syndrome in the Korean adult population: an analysis based on the 2014-2016 Korea National Health and Nutrition Examination Survey

BACKGROUND/OBJECTIVES

Recent studies have reported chocolate consumption has beneficial effects on blood pressure, obesity, and dyslipidemia, which are components of metabolic syndrome (MetS). However, evidence regarding these relationships in Asia is limited. The aim of this study was to investigate relations between chocolate consumption and MetS in Korea.

SUBJECTS/METHODS

Study subjects were 6,982 adults aged 19-64 years free of major chronic diseases that participated in the 2014-2016 Korea National Health and Nutrition Examination Survey. Information on chocolate consumption was obtained using food frequency questionnaires. For primary analysis, subjects were divided into two groups: non-consumer (n = 3,741, 53.6%); consumer (n = 3,241, 46.4%). In order to investigate dose-response effects on MetS, chocolate consumers were divided into quartiles based on amounts consumed: Q1 (n = 789, 24.3%); Q2 (n = 837, 25.8%); Q3 (n = 863, 26.6%); Q4 (n = 752, 23.2%) in second analysis.

RESULTS

Chocolate consumers; 1) were more physically active(P < 0.0001); 2) less likely to smoke(P < 0.0001); 3) paid more attention to food nutrition labels (P < 0.0001), and 4) had healthier dietary patterns, that is, they consumed vegetables, fruits, and dairy products more frequently(P < 0.0001) than non-consumers. Furthermore, chocolate consumers had a 30% lower risk of MetS (odds ratio, 0.70; 95% confidence interval, 0.58-0.86; P = 0.0005). However, dose-response effects between chocolate intake and MetS was not found by secondary analysis after excluding non-consumers.

CONCLUSIONS

In conclusion, chocolate consumers had healthier lifestyles and dietary patterns and a lower prevalence of MetS than non-consumers, as determined by our primary analysis. Although dose-response effects were not found to be significant among chocolate consumers during secondary analysis, the patterns were partially similar. This cross-sectional finding shows chocolate consumption does not increase the risk of MetS. The prospective studies and intervention trials in Korea are needed to confirm this cross-sectional finding.

Impact and implementation of Healthy Life Centres, a primary-care service intervention for behaviour change in Norway: Study design

Aims: This ongoing study is investigating the implementation and long-term impact of Healthy Life Centres (HLCs), a primary-care service intervention for behaviour change in Norway. The primary aim is to study changes in objectively measured physical activity (PA) levels following a HLC intervention in the short (three months) and long term (15 months). Furthermore, the study is evaluating determinants concerning implementation and adaption of the HLC intervention that influence reach and impact on participants outcomes. Methods: This prospective observational study includes 32 HLCs from four different geographical regions in Norway. Subjects aged ⩾18 years were invited to participate. The study has a pre-post design with a 15-month follow-up. The HLC intervention is a three-month individualised program, containing personal consultations and group-based behaviour-specific courses on PA, diet and smoking cessation. Data collection consists of registration of objectively measured PA level, physical examinations, interviews and questionnaires. In addition, HLC organisation, offers, professions and resources are being examined. The Reach, Efficacy/Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework is being applied to study the external validation of the HLC intervention. The study enrolled 1020 participants who gave their written informed consent. Post-tests and follow-up data collection is still ongoing and will continue until August 2019. Conclusions: By exploring the HLC intervention in a real-world setting and addressing the elements of RE-AIM, this study will contribute to an improved understanding and development of effective primary-care behaviour interventions such as the HLC model. The strengths of the study are the large sample size and the many HLCs and regions included.

Examining the Advantages of Using Multiple Web-Based Dietary Assessment Instruments to Measure Population Dietary Intake: The PREDISE Study

BACKGROUND

Combining traditional dietary assessment instruments has been suggested to improve precision of dietary intake estimates. However, this has not been investigated using web-based 24-h recall (R24W) or a web-based food-frequency questionnaire (wFFQ).

OBJECTIVE

The aim of this study was to compare different combinations of web-based instruments to assess population-level dietary intake estimates (means and percentiles) and their precision, either with or without statistical modeling of within-person day-to-day variations.

METHODS

As part of the cross-sectional PREDISE study, 1025 French-speaking adults completed 3 randomly allocated R24W and 1 wFFQ within 21 d. Crude estimates of intake were generated from either 1 or 3 repeated R24W. The National Cancer Institute (NCI) method was used to account for within-person variation. Usual intakes were modeled from 1 R24W repeated in a subsample (40%) and from 3 R24W, with or without consideration of data from the wFFQ.

RESULTS

Using crude data from 3 R24W increased precision of estimates and modified distribution of intakes compared with using data from only 1 R24W. Using NCI-modeled data from 3 repeated R24W had no impact on the precision around mean intakes but increased precision of low and high percentiles intake estimates compared with NCI-modeled data from a partially repeated R24W. Considering data from a wFFQ in combination with data derived from 3 R24W did not influence the precision of intake estimates of most foods and nutrients.

CONCLUSIONS

The data suggest that relying on repeated measures of food and nutrient intake through R24W is preferable to single assessment when within-person variation is not considered. Data also suggest that when NCI modeling is applied, using 3 R24W only improves the precision of low and high percentiles intake estimates compared with using a partially repeated web-based recall.

Delivering in-school interventions to improve dietary behaviours amongst 11- to 16-year-olds: A systematic review

Childhood obesity is a global health concern, which has both short- and long-term health consequences for the individual, and is a potential burden on health care services and the wider economy. The school environment is a setting where changes can be applied to dietary behaviours, as schools have direct and intensive contact with children. This systematic review evaluated school-based interventions designed to improve dietary behaviours among adolescents (11- to 16-year-olds). The aims were to review types of interventions delivered, dietary behaviours targeted, and interventions' effectiveness in improving dietary behaviour and associated intervention components. Twenty-nine school-based interventional studies with this population were identified for review. The data were synthesized by identifying and comparing individual studies' results, intervention components, and characteristics. Interventions appeared more effective when they involved peers, used educational media to deliver health messages, increased availability of healthy foods in school, and incorporated computer-based individualized feedback with normative information on eating behaviours. A limitation of the review was the lack of description in certain reviewed studies and the nonfeasibility of conducting a meta-analysis owing to study heterogeneity. Future interventions with this population could consider including the aforementioned components, gender-specific feedback, and both short- and long-term follow-ups as change may not be apparent immediately and to determine if changes are sustained.

Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988-1994)

OBJECTIVE

To evaluate the association between ultra-processed food intake and all-cause mortality and CVD mortality in a nationally representative sample of US adults.

DESIGN

Prospective analyses of reported frequency of ultra-processed food intake in 1988-1994 and all-cause mortality and CVD mortality through 2011.

SETTING

The Third National Health and Nutrition Examination Survey (NHANES III, 1988-1994).ParticipantsAdults aged ≥20 years (n 11898).

RESULTS

Over a median follow-up of 19 years, individuals in the highest quartile of frequency of ultra-processed food intake (e.g. sugar-sweetened or artificially sweetened beverages, sweetened milk, sausage or other reconstructed meats, sweetened cereals, confectionery, desserts) had a 31% higher risk of all-cause mortality, after adjusting for demographic and socio-economic confounders and health behaviours (adjusted hazard ratio=1·31; 95% CI 1·09, 1·58; P-trend = 0·001). No association with CVD mortality was observed (P-trend=0·86).

CONCLUSIONS

Higher frequency of ultra-processed food intake was associated with higher risk of all-cause mortality in a representative sample of US adults. More longitudinal studies with dietary data reflecting the modern food supply are needed to confirm our results.

Associations of food insecurity and psychosocial measures with diet quality in adults aging with HIV

People aging with HIV face social stressors which may negatively affect their overall nutrition. Here, we assess relationships between self-reported measures of depression, perceived stress, social support, and food insecurity with diet quality in older adults with HIV. A retrospective analysis of self-reported data from parent study at The University of Alabama at Birmingham 1917 HIV Clinic was performed. The study sample consisted of sixty people living with HIV (PLWH) with controlled HIV infection (<50 copies/mL), aged 50 years or older who participated in a cross-sectional microbiome study. Dietary intake was measured using the NHANES 12-month Food Frequency Questionnaire (FFQ) and three Automated Self-Administered (ASA) 24-hr diet recalls to calculate diet quality scores using the Mediterranean Diet Score (MDS); alternative Healthy Eating Index (aHEI); and the Recommended Food Score (RFS) indices. Food insecurity was measured with the Food Security Questionnaire (FSQ). Participants completed the following psychosocial scales: (1) depression - Patient Health Questionnaire-8 (PHQ8); (2) perceived stress - Perceived Stress Scale (PSS-10); (3) social support - Multidimensional Scale of Perceived Social Support (MSPSS). Linear regression models were used to investigate relationships among variables controlling for gender and income. The cohort was characterized as follows: Mean age 56 ± 4.6 years, 80% African-American, and 32% women. Mean body mass index (BMI) was 28.4 ± 7.2 with 55% reporting food insecurity. Most participants reported having post-secondary education (53%), although 77% reported annual incomes <$20,000. Food insecurity was independently associated with measures of poor dietary intake: aHEI (β = -0.08, p = .02) and MDS (β = -0.23, p < 0.01) and with low dietary intake of fibre (β = -0.27, p = .04), vitamin E (β = -0.35, p = .01), folate (β = -0.31, p = .02), magnesium (β = -0.34, p = .01) and copper (β = -0.36, p = .01). These data indicate food insecurity is associated with poor diet quality among PLWH. Clinical interventions are needed to improve food access for PLWH of low SES.

Dietary Patterns in Primary School are of Prospective Relevance for the Development of Body Composition in Two German Pediatric Populations

This study performed comparative analyses in two pediatric cohorts to identify dietary patterns during primary school years and examined their relevance to body composition development. Nutritional and anthropometric data at the beginning of primary school and two or four years later were available from 298 and 372 participants of IDEFICS-Germany (Identification and prevention of Dietary-induced and lifestyle-induced health Effects In Children and infants Study) and the KOPS (Kiel Obesity Prevention Study) cohort, respectively. Principal component analyses (PCA) and reduced rank regression (RRR) were used to identify dietary patterns at baseline and patterns of change in food group intake during primary school years. RRR extracted patterns explaining variations in changes in body mass index (BMI), fat mass index (FMI), and waist-to-height-ratio (WtHR). Associations between pattern adherence and excess gain in BMI, FMI, or WtHR (>75th percentile) during primary school years were examined using logistic regression. Among PCA patterns, only a change towards a more Mediterranean food choice during primary school years were associated with a favorable body composition development in IDEFICS-Germany (p < 0.05). In KOPS, RRR patterns characterized by a frequent consumption of fast foods or starchy carbohydrate foods were consistently associated with an excess gain in BMI and WtHR (all p < 0.005). In IDEFICS-Germany, excess gain in BMI, FMI, and WtHR were predicted by a frequent consumption of nuts, meat, and pizza at baseline and a decrease in the consumption frequency of protein sources and snack carbohydrates during primary school years (all p < 0.01). The study confirms an adverse impact of fast food consumption on body composition during primary school years. Combinations of protein and carbohydrate sources deserve further investigation.

Total Usual Nutrient Intakes of US Children (Under 48 Months): Findings from the Feeding Infants and Toddlers Study (FITS) 2016

Background

The US Dietary Guidelines will expand in 2020 to include infants and toddlers. Understanding current dietary intakes is critical to inform policy.

Objective

The purpose of this analysis was to examine the usual total nutrient intakes from diet and supplements among US children.

Methods

The Feeding Infants and Toddlers Study 2016 is a national cross-sectional study of children aged <48 mo (n = 3235): younger infants (birth to 5.9 mo), older infants (6-11.9 mo), toddlers (12-23.9 mo), younger preschoolers (24-36.9 mo), and older preschoolers (36-47.9 mo) based on the use of a 24-h dietary recall. A second 24-h recall was collected from a representative subsample (n = 799). Energy, total nutrient intake distributions, and compliance with Dietary Reference Intakes were estimated with the use of the National Cancer Institute method.

Results

Dietary supplement use was 15-23% among infants and toddlers and 35-45% among preschoolers. Dietary intakes of infants were adequate, with mean intakes exceeding Adequate Intake for all nutrients except vitamins D and E. Iron intakes fell below the Estimated Average Requirement for older infants (18%). We found that 31-33% of children aged 12-47.9 mo had low percentage of energy from total fat, and >60% of children aged 24-47.9 mo exceeded the saturated fat guidelines. The likelihood of nutrient inadequacy for many nutrients was higher for toddlers: 3.2% and 2.5% greater than the Adequate Intake for fiber and potassium and 76% and 52% less than the Estimated Average Requirement for vitamins D and E, respectively. These patterns continued through older ages. Intakes exceeded the Tolerable Upper Intake Level of sodium, retinol, and zinc across most age groups.

Conclusions

Dietary intakes of US infants are largely nutritionally adequate; concern exists over iron intakes in those aged 6-11.9 mo. For toddlers and preschoolers, high intake of sodium and low intakes of potassium, fiber, and vitamin D and, for preschoolers, excess saturated fat are of concern. Excess retinol, zinc, and folic acid was noted across most ages, especially among supplement users.

Healthy Plant-Based Diets Are Associated with Lower Risk of All-Cause Mortality in US Adults

Background

Plant-based diets, often referred to as vegetarian diets, are associated with health benefits. However, the association with mortality is less clear.

Objective

We investigated associations between plant-based diet indexes and all-cause and cardiovascular disease mortality in a nationally representative sample of US adults.

Methods

Analyses were based on 11,879 participants (20-80 y of age) from NHANES III (1988-1994) linked to data on all-cause and cardiovascular disease mortality through 2011. We constructed an overall plant-based diet index (PDI), which assigns positive scores for plant foods and negative scores for animal foods, on the basis of a food-frequency questionnaire administered at baseline. We also constructed a healthful PDI (hPDI), in which only healthy plant foods received positive scores, and a less-healthful (unhealthy) PDI (uPDI), in which only less-healthful plant foods received positive scores. Cox proportional hazards models were used to estimate the association between plant-based diet consumption in 1988-1994 and subsequent mortality. We tested for effect modification by sex.

Results

In the overall sample, PDI and uPDI were not associated with all-cause or cardiovascular disease mortality after controlling for demographic characteristics, socioeconomic factors, and health behaviors. However, among those with an hPDI score above the median, a 10-unit increase in hPDI was associated with a 5% lower risk in all-cause mortality in the overall study population (HR: 0.95; 95% CI: 0.91, 0.98) and among women (HR: 0.94; 95% CI: 0.88, 0.99), but not among men (HR: 0.95; 95% CI: 0.90, 1.01). There was no effect modification by sex (P-interaction > 0.10).

Conclusions

A nonlinear association between hPDI and all-cause mortality was observed. Healthy plant-based diet scores above the median were associated with a lower risk of all-cause mortality in US adults. Future research exploring the impact of quality of plant-based diets on long-term health outcomes is necessary.

Global Dietary Surveillance: Data Gaps and Challenges

BACKGROUND

Detailed information on global individual-level consumption patterns is imperative for informed policy making. However, such data are dispersed and incomplete.

OBJECTIVE

To review and discuss the methodologies, observed data availability, challenges, and opportunities pertaining to global dietary surveillance.

METHODS

This investigation provides an extensive review of global dietary assessment methodologies and challenges, including at the survey level, the dietary collection and assessment level, and the dietary data processing and analysis level. The focus is on nationally representative individual-level data, and additional types of dietary data, such as dietary biomarkers, household assessment, and food availability, are reviewed as alternatives. Practical guidance is provided to inform key decisions when designing dietary surveys and collecting, analyzing, and using dietary data. This article further identifies and describes existing global and regional dietary initiatives/data sets.

RESULTS

Harmonized and standardized primary individual-level dietary data collection, processing, and analysis worldwide are currently not available. Evaluation and decision-making should be based on best available data, that is, secondary nonharmonized yet to the extent possible, standardized individual-level dietary data. Existing initiatives differ substantially in methodologies, including survey design/representativeness, coverage, diet assessment, and dietary metric standardization and processing. Data gaps have been identified that were more profound for certain countries, certain dietary indicators across countries, population subgroups, representativeness, or time periods.

CONCLUSIONS

Optimizing worldwide dietary habits to improve population health requires systematically identified and evaluated data on a continuing basis. Leveraging existing available dietary data and efforts is an indispensable prerequisite for informed priority setting targeting the intersections between diet and disease.

Dietary Patterns During Pregnancy are Associated with Gestational Weight Gain

Objective The role of diet during pregnancy on gestational weight gain is unclear. This study aimed to evaluate the hypothesis that dietary patterns during pregnancy are differentially associated with the adequacy of gestational weight gain at different stages of pregnancy. Methods A total of 391 pregnant women in National Health and Nutrition Examination Survey (NHANES) 2003-2006 were included. Dietary intake was obtained using a National Cancer Institute's food-frequency questionnaire. Results Three dietary patterns were identified by factor analysis with 36 food groups among pregnant women, and they were named according to food group factor loadings: 'mixed', 'healthy', and 'western'. The 'mixed' pattern characterized by a high intake of meat, dairy products, fruits, vegetables, potatoes, nuts and seeds and sweets. After adjusting for maternal sociodemographic variables and physical activity level, women in the highest tertile of 'mixed' pattern score had significantly greater odds of being in the inadequate gestational weight gain compared to those in the lowest tertile (adjusted odds ratio (AOR) 4.72; 95 % CI 1.07-20.94). Women in the mid tertile of the 'mixed' pattern had significantly lower odds of being in the excessive gestational weight gain compared to those in the lowest tertile (AOR 0.39; 95 % CI 0.15-0.99). Conclusion These results suggest that a diet high in meat, dairy products, fruits, vegetables, potatoes, and nuts and seeds during pregnancy might be associated with reducing excessive gestational weight gain.

Frequency of a diagnosis of glaucoma in individuals who consume coffee, tea and/or soft drinks

AIMS

To evaluate the association between consumption of coffee, tea or soft drinks, and glaucoma in the participants of the 2005-2006 National Health and Nutrition Examination Survey (NHANES).

METHODS

The exposures of interest of this retrospective cross-sectional study were caffeinated and decaffeinated coffee, iced tea, hot tea and soft drinks. The outcome of interest was a clinical diagnosis of glaucoma based on the Rotterdam criteria. Analysis of the correlation between the frequency of consumption of each type of beverage and glaucoma was performed using logistic regression modelling while controlling for age, body mass index, gender, ethnicity, smoking status and diabetes. Data were weighted using the multistage NHANES sampling design.

RESULTS

Among a total of 1678 survey participants, the overall prevalence of glaucoma was 5.1% (n=84). Most participants were non-Hispanic white (n=892; 53.2%). There were no statistically significant associations between consumption of caffeinated and decaffeinated coffee, iced tea and soft drinks, and glaucoma. Participants who consumed at least one cup of hot tea daily had a 74% decreased odds of having glaucoma compared with those who did not consume hot tea (adjusted OR=0.26, 95% CI 0.09 to 0.72, P=0.004 for trend); however, no statistically significant association existed for decaffeinated hot tea and glaucoma.

CONCLUSION

In NHANES, participants who consumed hot tea daily were less likely to have glaucoma than those who did not consume hot tea. No significant associations were found between the consumption of coffee, iced tea, decaffeinated tea and soft drinks, and glaucoma risk. This study is limited by its cross-sectional design and use of multiple statistical testing, and larger prospective studies are needed to investigate the proposed association between tea consumption and decreased glaucoma risk.

The added value of food frequency questionnaire (FFQ) information to estimate the usual food intake based on repeated 24-hour recalls

Background

Statistical methods to model the usual dietary intake of foods in a population generally ignore the additional information on the never-consumers. The objective of this study is to determine the added value of Food Frequency Questionnaire (FFQ) data allowing distinguishing the never-consumers from the non-consumers while modeling the usual intake distribution.

Methods

Three food items with a different proportion of never-consumers were selected from the database of the Belgian food consumption survey of 2004 (N = 3200). The usual intake distribution for these food items was modeled with the Statistical Program for Analysis of Dietary Exposure (SPADE) and modeling parameters were extracted. These parameters were used to simulate (a) a new database with two 24-h recalls per respondent and (b) a “true” usual intake distribution. The usual intake distribution from the new database was obtained by modeling the 24-h recalls with SPADE, once without and once with the inclusion of the FFQ data on the never-consumers. Ratios were calculated for the different percentiles of the usual intake distribution: the modeled usual intake (g/day) (for both SPADE with and without the inclusion of FFQ data on never-consumers) was divided by the corresponding percentile of the simulated “true” usual intake (g/day). The closer the ratio is to one, the better the model fits the data.

Results

Inclusion of the FFQ information to identify the never-consumers did not improve the estimation of the higher percentiles of the usual intake distribution. However, taking into account this FFQ information improved the estimation of the lower percentiles of the usual intake distribution even when the proportion of never-consumers was low.

Conclusions

The inclusion of FFQ information to identify the never-consumers is beneficial when interested in the whole usual intake distribution or in the lower percentiles only, no matter how low the proportion of never-consumers for that food item may be. However, when interest is only in the higher percentiles of the usual intake distribution, inclusion of FFQ information to identify the never-consumers will have no benefit.

Electronic supplementary material

The online version of this article (doi:10.1186/s13690-017-0214-8) contains supplementary material, which is available to authorized users.

Intake of high fructose corn syrup sweetened soft drinks, fruit drinks and apple juice is associated with prevalent coronary heart disease, in U.S. adults, ages 45-59 y

BACKGROUND

Intake of high excess free fructose (EFF) beverages, including high fructose corn syrup (HFCS), sweetened soft drinks, fruit drinks, and apple juice, may be associated with childhood asthma, adult idiopathic chronic bronchitis/ COPD, and autoimmune arthritis, possibly due to underlying fructose malabsorption. Fructose malabsorption may contribute to the intestinal in situ formation of advanced glycation end-products (enFruAGEs) that travel to other tissues and promote inflammation. Chronic respiratory conditions and arthritis are comorbidities of coronary heart disease (CHD). The objective of this study was to investigate the association between intake of high EFF beverages and CHD.

METHODS

In this cross sectional study (NHANES 2003-2006) of adults, aged 45-59 y, n = 1230, the exposure variables were non-diet soft drinks, and any combination of high EFF beverages including non-diet soft drinks, fruit drinks, and apple juice. Analyses of diet soft drinks, diet fruit drinks, and orange juice (non/low EFF beverages) were included for comparison. The outcome was self-reported history of coronary heart disease and/or angina (CHD). Rao Scott Ҳ2 was used for prevalence differences and logistic regression for associations, adjusted for age, sex, race-ethnicity, BMI, socio-economic status, health insurance coverage, smoking, physical activity level, hypertension, energy intake, fruit and vegetable intake, glycated hemoglobin, pre-diabetes, and diabetes.

RESULTS

Intake of any combination of HFCS sweetened soft drinks, fruit drinks, and apple juice (tEFF) was significantly associated with CHD in adults aged 45-59 y. Adults consuming tEFF ≥5 times/wk. were 2.8 times more likely to report CHD than ≤3 times/mo consumers (OR 2.82; 95% CI 1.16-6.84; P = 0.023), independent of all covariates.

CONCLUSION

HFCS sweetened soft drinks, fruit drinks, and apple juice may contribute to CHD, a common comorbidity of chronic respiratory conditions and autoimmune arthritis, possibly due to the high ratio of fructose to glucose in these beverages. Underlying fructose malabsorption may contribute to the intestinal in situ formation of pro-inflammatory enFruAGEs, that are eventually absorbed and induce inflammation of the coronary arteries. Additional research is needed.

Time Trends and Patterns of Reported Egg Consumption in the U.S. by Sociodemographic Characteristics

Eggs have the potential to contribute essential nutrients to nutritionally vulnerable populations on limited food budgets. Further research is needed to better understand patterns of egg consumption across diverse sociodemographic groups in order to inform clinical practice to improve nutrient adequacy. Data on demographics and egg intake of 29,694 U.S. adults were obtained from the National Health and Nutrition Examination Survey, 2001-2012. The National Cancer Institute's usual intake methodology was used to estimate the distribution of egg intake. Linear and logistic regression models were used to test for time trends in egg consumption and for differences between sociodemographic groups. The proportion of the U.S. population, overall (21%-22%; p = 0.311) and by sociodemographic group (p > 0.05 for all groups), that reported consuming eggs remained unchanged from 2001 to 2012. Mean egg consumption increased overall from 23.0 (95% CI, 20.8-25.2) g/day in 2001-2002 to 25.5 (22.7-28.4) g/day in 2011-2012 (p = 0.012), but not among food insecure individuals (p = 0.816) and Supplemental Nutrition Assistance Program (SNAP) participants (p = 0.399). No differences in the odds of egg consumption were observed by income level, food security status, or SNAP participation status (p > 0.05 for all groups). Given the nutritional benefits of eggs, as well as their low cost and culinary versatility, the results presented here have important implications for reducing disparities in health outcomes and diet quality, in particular among food insecure individuals and SNAP participants. Further research is needed to examine factors that influence egg consumption and associated nutrient intake, and to identify potential barriers to increasing egg consumption, such as egg price changes, across diverse sociodemographic groups.