Current evidence on healthy eating

Fasting and postprandial plasma metabolite responses to a 12-wk dietary intervention in tissue-specific insulin resistance: a secondary analysis of the PERSonalized glucose Optimization through Nutritional intervention (PERSON) randomized trial

BACKGROUND

We previously showed that dietary intervention effects on cardiometabolic health were driven by tissue-specific insulin resistance (IR) phenotype: individuals with predominant muscle IR (MIR) benefited more from a low-fat, high-protein, and high-fiber (LFHP) diet, whereas individuals with predominant liver insulin resistance (LIR) benefited more from a high-monounsaturated fatty acid (HMUFA) diet.

OBJECTIVES

To further characterize the effects of LFHP and HMUFA diets and their interaction with tissue-specific IR, we investigated dietary intervention effects on fasting and postprandial plasma metabolite profile.

METHODS

Adults with MIR or LIR (40-75 y, BMI 25-40 kg/m2) were randomly assigned to a 12-wk HMUFA or LFHP diet (n = 242). After the exclusion of statin use, 214 participants were included in this prespecified secondary analysis. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, and 240 min) a high-fat mixed meal for quantification of 247 metabolite measures using nuclear magnetic resonance spectroscopy.

RESULTS

A larger reduction in fasting VLDL-triacylglycerol (TAG) and VLDL particle size was observed in individuals with MIR following the LFHP diet and those with LIR following the HMUFA diet, although no longer statistically significant after false discovery rate (FDR) adjustment. No IR phenotype-by-diet interactions were found for postprandial plasma metabolites assessed as total area under the curve (tAUC). Irrespective of IR phenotype, the LFHP diet induced greater reductions in postprandial plasma tAUC of the larger VLDL particles and small HDL particles, and TAG content in most VLDL subclasses and the smaller LDL and HDL subclasses (for example, VLDL-TAG tAUC standardized mean change [95% CI] LFHP = -0.29 [-0.43, -0.16] compared with HMUFA = -0.04 [-0.16, 0.09]; FDR-adjusted P for diet × time = 0.041).

CONCLUSIONS

Diet effects on plasma metabolite profiles were more pronounced than phenotype-by-diet interactions. An LFHP diet may be more effective than an HMUFA diet for reducing cardiometabolic risk in individuals with tissue-specific IR, irrespective of IR phenotype. Am J Clin Nutr 20xx;x:xx. This trial was registered at the clinicaltrials.gov registration (https://clinicaltrials.gov/study/NCT03708419?term=NCT03708419&rank=1) as NCT03708419 and CCMO registration (https://www.toetsingonline.nl/to/ccmo_search.nsf/fABRpop?readform&unids=3969AABCD9BA27FEC12587F1001BCC65) as NL63768.068.17.

Effects of Calorie Restriction on Preserving Male Fertility Particularly in a State of Obesity

PURPOSE OF REVIEW

Highlight the importance of exploring nutritional interventions that could be applied as alternative or supplementary therapeutic strategies to enhance men's fertility.

RECENT FINDINGS

Lifestyle choices have prompted extensive discussions regarding its implications and applications as a complementary therapy. The growing concern over the decline in sperm quality underscores the urgency of investigating these alternative interventions. Calorie restriction (CR) has emerged as a promising strategy to improve male fertility. The efficacy of CR depends on factors like age, ethnicity and genetics. Clinical studies, such as CALERIE, have shown an improvement in serum testosterone level and sexual drive in men with or without obesity. Additionally, CR has been shown to positively impact sperm count and motility; however, its effects on sperm morphology and DNA fragmentation remain less clear, and the literature has shown discrepancies, mainly due to the nature of technically dependent assessment tools. The review advocates a personalized approach to CR, considering individual health profiles to maximize its benefits. It underscores the need for routine, accessible diagnostic techniques in male reproductive health. It suggests that future research should focus on personalized dietary interventions to improve male fertility and overall well-being in individuals with or without obesity and unravel CR's immediate and lasting effects on semen parameters in men without obesity.

The Nutri-Score nutrition label: Associations between the underlying nutritional profile of foods and lipoprotein particle subclass profiles in adults

BACKGROUND AND AIMS

Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Certain dietary behaviours may be cardioprotective and public health strategies are needed to guide consumers' dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study has examined FSAm-NPS index associations with a wide range of lipoprotein particle subclasses.

METHODS

This was a cross-sectional study of 2006 middle-to older-aged men and women randomly selected from a large primary care centre. Individual participant FSAm-NPS dietary scores were derived from validated food frequency questionnaires. Lipoprotein particle subclass concentrations and size were determined using nuclear magnetic resonance spectroscopy. Multivariate-adjusted linear regression analyses were performed to examine FSAm-NPS relationships with lipoprotein particle subclasses.

RESULTS

In fully adjusted models which accounted for multiple testing, higher FSAm-NPS scores, indicating poorer dietary quality, were positively associated with intermediate-density lipoprotein (β = 0.096, p = 0.005) and small high-density lipoprotein (HDL) (β = 0.492, p = 0.006) concentrations, a lipoprotein insulin resistance score (β = 0.063, p = 0.02), reflecting greater lipoprotein-related insulin resistance, and inversely associated with HDL size (β = -0.030, p = 0.045).

CONCLUSIONS

A higher FSAm-NPS score is associated with a less favourable lipoprotein particle subclass profile in middle-to older-aged adults which may be a potential mechanism underlying reported health benefits of a healthy diet according to Nutri-Score rating.

Comparative analysis of diets in Sioux Falls: Influence of sociodemographic characteristics, alignment to US national diet and healthy diet

Continuous examination of diets and factors that influence dietary patterns is vital to improve diet quality. The objectives of this study are to evaluate the average diet of adults in the Sioux Falls Metropolitan Statistical Area (SFMSA), USA, examining sociodemographic differences in dietary intake and compare the average diet in the SFMSA (SF Diet) to the U.S. national average and USDA healthy dietary guidelines. A cross-sectional population-based study was conducted and 127 individuals were surveyed from August 2020 to August 2021. Dietary intake was assessed using the self-reported single 24-h dietary recall method and sociodemographic questions. Main effects and first order interactions of participant sociodemographic characteristics were considered. Main findings show that men had higher intake of meat, poultry, and eggs (p < 0.05) and alcohol, particularly older men (p < 0.05), than women. Higher alcohol intake was found for participants with lower levels of income and education (p < 0.01). The intake of fish and seafood was higher for older adults with a high level of income (p < 0.01). Differences were found between the SF diet and the national average but both followed a similar trend (e.g., low in fruits and vegetables and high in solid fats) and did not meet dietary guidelines, particularly for nutrient-dense foods. The intake of total vegetables (p < 0.001) and dark green vegetables (p < 0.001) was higher in the SF Diet and the national average was higher in total grains (p < 0.05), refined grains (p < 0.01), oils and fats (p < 0.001), solid fats (p < 0.001), and added sugar (p < 0.001). By not meeting the dietary guidelines, the findings of this study raise public health concerns.

Consumer nutrition environment measurements for nutrient-dense food availability and food sustainability: a scoping review

Consumer nutrition environments are defined as places in which consumers interact with the food they eat; these food choices can impact human and planetary health. Assessment measures for consumer nutrition environments are numerous, and vary widely on what, and how, they assess the food environment. The objective of this scoping review was to synthesize existing evidence on nutrition environment measurements and their capacity to assess nutrient-dense food access and food sustainability capacity. Eligibility criteria were developed to capture relevant peer-reviewed literature about auditing measures designed to assess nutrient-dense foods and food sustainability capacity in the consumer nutrition environment. A search strategy was conducted to collect articles published between January 1, 2002-June 4, 2022, using PubMed, Web of Science, Scopus, PsycINFO and the Cochrane library electronic databases. After screening 2457 manuscripts, 58 met inclusion criteria. Study aims, funding source(s), types of retailers assessed, assessment format and name, constructs measured, food categories measured, assessment of validity and/or reliability, and other relevant data were extracted from each manuscript. Results showed that most measures use checklists, surveys, questionnaires or similar methods to assess availability, quality, and price of select food items as assessment constructs. Most do not assess nutrient-dense food availability, and even fewer assess food sustainability. Development of comprehensive, reliable, and valid consumer nutrition environment measures that assess nutrient-dense food availability and food sustainability is important for research, planning, evaluation and advocacy aimed at improving consumer food environments for human and planetary health.

Continuous glucose monitoring for automatic real-time assessment of eating events and nutrition: a scoping review

Background

Accurate dietary assessment remains a challenge, particularly in free-living settings. Continuous glucose monitoring (CGM) shows promise in optimizing the assessment and monitoring of ingestive activity (IA, i.e., consumption of calorie-containing foods/beverages), and it might enable administering dietary Just-In-Time Adaptive Interventions (JITAIs).

Objective

In a scoping review, we aimed to answer the following questions: (1) Which CGM approaches to automatically detect IA in (near-)real-time have been investigated? (2) How accurate are these approaches? (3) Can they be used in the context of JITAIs?

Methods

We systematically searched four databases until October 2023 and included publications in English or German that used CGM-based approaches for human (all ages) IA detection. Eligible publications included a ground-truth method as a comparator. We synthesized the evidence qualitatively and critically appraised publication quality.

Results

Of 1,561 potentially relevant publications identified, 19 publications (17 studies, total N = 311; for 2 studies, 2 publications each were relevant) were included. Most publications included individuals with diabetes, often using meal announcements and/or insulin boluses accompanying meals. Inpatient and free-living settings were used. CGM-only approaches and CGM combined with additional inputs were deployed. A broad range of algorithms was tested. Performance varied among the reviewed methods, ranging from unsatisfactory to excellent (e.g., 21% vs. 100% sensitivity). Detection times ranged from 9.0 to 45.0 min.

Conclusion

Several CGM-based approaches are promising for automatically detecting IA. However, response times need to be faster to enable JITAIs aimed at impacting acute IA. Methodological issues and overall heterogeneity among articles prevent recommending one single approach; specific cases will dictate the most suitable approach.

Association between physical activity and diet quality of obese and non-obese MAFLD

BACKGROUND AND AIM

Clinical data on the prevalence of metabolic-associated fatty liver disease (MAFLD) in obese and non-obese individuals within a diverse US population is scarce. Furthermore, the influence of physical activity (PA) and dietary quality (DQ) on MAFLD risk remains unclear. This study aims to assess the prevalence and clinical features of MAFLD and examine the relationship between PA and DQ with the risk of developing MAFLD.

METHODS AND RESULTS

A cross-sectional analysis of data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) was conducted. The overall MAFLD prevalence was 41.9%, with 28.6% of participants being obese and 13.4% non-obese. Among those with MAFLD, 67.1% (95% confidence interval (CI): 59.1%-75.1%) were obese, and 32.9% (95% CI: 29.1%-36.7%) were non-obese. Non-obese MAFLD was more frequent in Asians (27.2%), while obese MAFLD was more prevalent in Blacks (66.3%). Metabolic comorbidities were more common in individuals with obese MAFLD, who also exhibited more advanced fibrosis. A high-quality diet (HQD) and increased PA were linked to reduced odds of both obese and non-obese MAFLD (odds ratio (OR) and 95% CI: 0.67 [0.51-0.88] and 0.57 [0.47-0.69]; 0.62 [0.43-0.90] and 0.63 [0.46-0.87], respectively). PA and HQD significantly decreased the risk of obese and non-obese MAFLD (OR and 95% CI: 0.46 [0.33-0.64] and 0.42 [0.31-0.57]).

CONCLUSION

A substantial proportion of the US population is affected by both obese and non-obese MAFLD. A strong association exists between a lower risk of both types of MAFLD and adherence to an HQD and engagement in PA.

Effects and possible mechanisms of intermittent fasting on health and disease: a narrative review

The imbalance between energy intake and expenditure in an environment of continuous food availability can lead to metabolic disturbances in the body and increase the risk of obesity and a range of chronic noncommunicable diseases. Intermittent fasting (IF) is one of the most popular nonpharmacological interventions to combat obesity and chronic noncommunicable diseases. The 3 most widely studied IF regimens are alternate-day fasting, time-restricted feeding, and the 5:2 diet. In rodents, IF helps optimize energy metabolism, prevent obesity, promote brain health, improve immune and reproductive function, and delay aging. In humans, IF's benefits are relevant for the aging global population and for increasing human life expectancy. However, the optimal model of IF remains unclear. In this review, the possible mechanisms of IF are summarized and its possible drawbacks are discussed on the basis of the results of existing research, which provide a new idea for nonpharmaceutical dietary intervention of chronic noncommunicable diseases.

Algae Food Products as a Healthcare Solution

Diseases such as obesity; cardiovascular diseases such as high blood pressure, myocardial infarction and stroke; digestive diseases such as celiac disease; certain types of cancer and osteoporosis are related to food. On the other hand, as the world's population increases, the ability of the current food production system to produce food consistently is at risk. As a result, intensive agriculture has contributed to climate change and a major environmental impact. Research is, therefore, needed to find new sustainable food sources. One of the most promising sources of sustainable food raw materials is macroalgae. Algae are crucial to solving this nutritional deficiency because they are abundant in bioactive substances that have been shown to combat diseases such as hyperglycemia, diabetes, obesity, metabolic disorders, neurodegenerative diseases and cardiovascular diseases. Examples of these substances include polysaccharides such as alginate, fucoidan, agar and carrageenan; proteins such as phycobiliproteins; carotenoids such as β-carotene and fucoxanthin; phenolic compounds; vitamins and minerals. Seaweed is already considered a nutraceutical food since it has higher protein values than legumes and soy and is, therefore, becoming increasingly common. On the other hand, compounds such as polysaccharides extracted from seaweed are already used in the food industry as thickening agents and stabilizers to improve the quality of the final product and to extend its shelf life; they have also demonstrated antidiabetic effects. Among the other bioactive compounds present in macroalgae, phenolic compounds, pigments, carotenoids and fatty acids stand out due to their different bioactive properties, such as antidiabetics, antimicrobials and antioxidants, which are important in the treatment or control of diseases such as diabetes, cholesterol, hyperglycemia and cardiovascular diseases. That said, there have already been some studies in which macroalgae (red, green and brown) have been incorporated into certain foods, but studies on gluten-free products are still scarce, as only the potential use of macroalgae for this type of product is considered. Considering the aforementioned issues, this review aims to analyze how macroalgae can be incorporated into foods or used as a food supplement, as well as to describe the bioactive compounds they contain, which have beneficial properties for human health. In this way, the potential of macroalgae-based products in eminent diseases, such as celiac disease, or in more common diseases, such as diabetes and cholesterol complications, can be seen.

Validation of the Rapid Prime Diet Quality Score Screener (rPDQS), A Brief Dietary Assessment Tool With Simple Traffic Light Scoring

BACKGROUND

Dietary pattern is a determinant of chronic disease, but nonregistered dietitian nutritionist (non-RDN) clinicians rarely assess diet because of barriers such as time constraints and lack of valid, brief diet quality assessment tools.

OBJECTIVE

The study aimed to evaluate the relative validity of a brief diet quality screener using both a numeric scoring system and a simple traffic light scoring system.

DESIGN

A cross-sectional study was conducted using the CloudResearch online platform to compare participants' responses to the 13-item rapid Prime Diet Quality Score screener (rPDQS) and the Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool.

PARTICIPANTS/SETTING

The study was conducted in July and August 2021 and included 482 adults ≥18 years of age or older sampled to be representative of the US population.

MAIN OUTCOME MEASURES

All participants completed the rPDQS and an ASA24; of these, 190 completed a second ASA24 and rPDQS. Responses to rPDQS items were coded using both traffic light (eg, green = healthiest intake, red = least healthy intake) and numeric (eg, consume < 1 time a week, consume ≥ 2 times per day) scoring methods and were compared with food group equivalents and Healthy Eating Index-2015 (HEI-2015) scores estimated from ASA24s.

STATISTICAL ANALYSES

Deattenuated Pearson correlation coefficients were calculated to account for within-person variation in 24-hour diet recalls.

RESULTS

Overall, 49% of participants were female, 62% were ≥35 years, and 66% were non-Hispanic White, 13% non-Hispanic Black, 16% Hispanic/Latino, and 5% Asian. For both food groups to encourage (eg, vegetables, whole grains) and to consume in moderation (eg, processed meats, sweets), there were statistically significant associations with intakes assessed by rPDQS, using both traffic light and numeric scoring methods. Total rPDQS scores correlated with the HEI-2015, r = 0.75 (95% confidence interval [CI] = 0.65, 0.82).

CONCLUSIONS

The rPDQS is a valid, brief diet quality screener that identifies clinically relevant patterns of food intake. Future research is needed to test whether the simple traffic light scoring system is an effective tool that can help non-RDN clinicians provide brief dietary counseling or make referrals to registered dietitian nutritionists, as needed.

Diet Quality and Consumption of Healthy and Unhealthy Foods Measured via the Global Diet Quality Score in Relation to Cardiometabolic Outcomes in Apparently Healthy Adults from the Mediterranean Region: The ATTICA Epidemiological Cohort Study (2002-2022)

The Global Diet Quality Score (GDQS) is a novel food-based score that assesses both nutrient adequacy and chronic disease risk, by evaluating healthy (GDQS+) and unhealthy foods (GDQS-). The aim of this study was to evaluate the association among GDQS, GDQS+, and GDQS- against the 20-year risk of cardiometabolic outcomes in a Mediterranean population. The sample was n = 2169 initially free of cardiovascular disease (CVD) participants of the ATTICA study (2002-2022) that participated in the 20-year follow-up. The incidence of CVD, hypertension, hypercholesterolemia, and type 2 diabetes mellitus (T2DM) was defined according to WHO-ICD-10 criteria. The GDQS was computed based on previously published instructions. In multivariate analyses, a higher diet quality, per 1/49 of the GDQS, was associated with an 8% [95% Confidence Interval-CI: 6-9%] and 2% [95% CI: 1-3%] lower CVD and T2DM risk, respectively. A higher consumption of healthy foods, per 1/32 of GDQS+, was associated with a 9% [95% CI: 7-11%] and 2% [95% CI: 1-3%] lower CVD and T2DM risk, respectively. Contrarily, a lower consumption of unhealthy foods (GDQS-) was not associated with cardiometabolic events in the adjusted models (all p value< 0.05). In clinical practice or future public health actions to ameliorate dietary habits and prevent CVD and T2DM, more attention should be focused on healthy foods that should be included in our diets.

Perspectives on Healthy Eating of Adult Populations in High-Income Countries: A Qualitative Evidence Synthesis

BACKGROUND

Understanding how individuals currently perceive healthy eating is essential for developing food policies and dietary recommendations that improve the health and well-being of populations. The purpose of this qualitative evidence synthesis was to systematically outline the views and understandings of healthy eating, focusing on how foods are classified as healthy and unhealthy and what meanings are attached to food and eating by the general adult population in high-income countries.

METHODS

A systematic search of four electronic databases was conducted and yielded 24 relevant primary qualitative studies of generally healthy, community-dwelling adults.

RESULTS

Thematic synthesis of the included studies identified three analytic themes: constructions of healthy and unhealthy eating, considerations on dietary recommendations, and meanings attached to food and eating. Study participants generally understood what constitutes a healthy and unhealthy diet which was in line with dietary recommendations, but those of lower socioeconomic status exhibited gaps in nutrition knowledge. Participants expressed diverse opinions on dietary recommendations, including skepticism and a lack of trust. Food and eating were associated with various meanings, including pleasure, stress relief, and feelings of guilt. Moral, health, and sociocultural considerations also played a role in dietary behaviors.

CONCLUSIONS

The findings suggest that improving population diet requires considering how dietary recommendations are phrased and communicated to ensure that healthy eating is associated with pleasure and immediate well-being. This review provides valuable insights for developing consumer-oriented, practicable, and acceptable food policies and dietary recommendations that effectively improve population health and well-being.

Nutritional practices and experiences of people on vegan diet with healthcare system: a qualitative study

OBJECTIVES

The growing popularity of diets that restrict the consumption of animal-based foods is an important new challenge for the public healthcare system in Czechia. While the environmental and health-related benefits of plant-based diets are widely discussed in the media, people who follow these diets may lack professional support in terms of nutritional advice and even access to healthcare. The present study aims to map the nutritional practices and experiences with the healthcare system of people in Czechia who follow vegan diets.

METHODS

In a qualitative study we conducted semi-structured interviews with twenty-one self-reported adult vegans (14 women and 7 men; 18 with university education) who were on a vegan diet for at least a year. We were specifically interested in their motivation for why and how they became vegans; their everyday diet and eating routines; their use of health care and experiences with medical professionals; their nutritional knowledge and use of supplementation; and their perception of their health and embodiment.

RESULTS

The primary motivations for going vegan are ethical, environmental and health-related. Vegans see themselves and their diet as generally healthier, but for this to be true they must spend a considerable amount of time researching nutritional requirements and what dietary supplements they need. To this end, they tend to rely mainly on non-medical sources of information. Because of the lack of acceptance of veganism among primary-care physicians, vegans tend not to seek out medical advice or tell their doctor about their eating habits in order to avoid conflicts and negative experiences.

CONCLUSIONS

We identified a perceived lack of accessible educational materials and potentially limited access to primary healthcare recommendations for people who eliminate the consumption of animal-based foods. These findings deserve further research and public health risk-mitigation strategies.

Association between the anthropometric measurements and dietary habits on telomere shortening in healthy older adults: A-cross-sectional study

AIM

This study aimed to evaluate the effect of anthropometric measurements and dietary habits on telomere length in healthy older residents in rural and urban areas.

METHODS

This was a cross-sectional study. The study population included 81 healthy older individuals aged ≥80 years. A quantitative food frequency questionnaire was used to determine dietary habits. Anthropometric measurements were taken by researchers. The telomere length of individuals was determined from leukocytes using quantitative polymerase chain reaction.

RESULTS

Urban women had longer telomeres than rural women (P < 0.05). Rural men had significantly higher hip circumference, middle-upper arm circumference and fat-free mass than urban men (P < 0.05). It was shown that while fresh vegetable consumption was higher in rural areas, carbonated drink consumption was higher in urban areas (P < 0.05). In women, homemade bread and sugar consumption were higher in rural areas, and honey consumption was higher in urban (P < 0.05). Red meat, milk-based dessert and pastry consumption explain telomere shortening by 22.5%, 24.8% and 17.9%, respectively. In addition, the model based on anthropometric measurements also contributes to explaining telomere shortening by 42.9%.

CONCLUSION

Red meat, milk-based dessert and pastry consumption, and waist circumference, hip circumference, waist-to-hip ratio and waist-to-height ratio are associated with telomere length. Longer telomeres are associated with a healthy, balanced, adequate diet and maintaining a healthy body weight/proportion, and they are crucial for achieving healthy aging. Geriatr Gerontol Int 2023; ••: ••-••.

The translation and psychometrics Persian version of irrational food belief scale

BACKGROUND

This study aimed to translate into the Irrational Food Belief Scale proposed by Osberg into the Persian language and determine the psychometric properties of in Iranian culture.

METHODS

Osberg's 57-item scale was translated into Persian by using the forward-backward method. The scale's validity was examined using face validity, content validity, and construct validity (exploratory and confirmatory factor analysis). Its reliability was assessed with Cronbach's alpha and McDonald's Omega coefficient. Exploratory factor analysis and confirmatory factor analysis was performed by SPSS 28 (500 subjects) and also by AMOS 26 (500 subjects). The participants completed the demographic questionnaire and the Irrational Food Belief Scale (IFBS) over the Internet.

RESULTS

After translation into Persian, the validity of the scale was determined by impact score, quantitative and qualitative face validity (modification of 10 items) and qualitative content validity (modification of 8 items), and quantitative content validity (CVR, CVI and Kappa coefficient), which were greater than 0.46, 0.86, and 0.85, respectively. In exploratory factor analysis, 30 items were removed and the remaining 27 items were loaded on five factors, including behavioral and psychological aspects, nutritional attitudes, healthy eating, controlled eating, and diet, which described 30.95% of the total variance. Confirmatory factor analysis showed that the 5-factor model was the best fitting model to explain the data.

CONCLUSION

Considering the need for a tool about in irrational food beliefs, this tool was unable to explain all these dimensions well. It is recommended to create a new questionnaire for the Iranian culture.

Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial

BACKGROUND AND AIMS

The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome.

METHODS

We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables.

RESULTS

In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, β = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m², β = 0.39; 0.33 to 0.46); waist circumference (cm, β = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, β = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, β = 1.66; 0.61 to 2.70); HbA1c (%, β = 0.04; 0.01 to 0.07); triglycerides (mg/dl, β = 6.79; 3.66 to 9.91) and triglycerides and glucose index (β = 0.06; 0.04 to 0.08).

CONCLUSIONS

Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.

Jordan's Population-Based Food Consumption Survey: Protocol for Design and Development

BACKGROUND

One of the factors influencing health and well-being is dietary patterns. Data on food consumption are necessary for evaluating and developing community nutrition policies. Few studies on Jordanians' food consumption and dietary habits at various ages have been conducted, despite the increased prevalence of overweight, obesity, and chronic diseases. This will be the first study focusing on Jordanians' food consumption patterns that includes children, adolescents, adults, and older adults.

OBJECTIVE

This cross-sectional study aims to describe the design and methodology of the Jordan's Population-based Food Consumption Survey, 2021-2022, which was developed to collect data on food consumption, including energy, nutrients, and food group intake, from a representative sample of Jordanians and to determine the prevalence of overweight and obesity and their relationship to food consumption.

METHODS

Participants were selected by stratified random sampling, using the Estimated Population of the Kingdom by Governorate, Locality, Sex, and Households, 2020 as the sampling frame. The food consumption survey sample was at the population level, representing gender and age classes (8-85 years old). The data collection period was 6 months. Food consumption was assessed using 24-hour dietary recall (2 nonconsecutive days, 1 week apart) interviews representing weekdays and weekends. In addition to data on food consumption, information on the use of food supplements, sociodemographic and socioeconomic status, and health was gathered. Weight, height, and waist circumference were all measured.

RESULTS

The survey included 632 households with 2145 participants, of which 243 (11.3%) were children, 374 (17.4%) were adolescents, 1428 (66.6%) were adults, and 99 (4.6%) were older adults. Three food consumption databases were used to stratify the mean 24-hour dietary recall food consumption into energy intake, carbohydrates, proteins, fats, fiber, vitamins and minerals, and food groups. BMI was calculated and classified as normal, overweight, or obese. Central obesity was classified as normal or abnormal based on the waist-to-height ratio. The survey results will be disseminated based on age, energy, nutrient, and food group consumption. The prevalence of overweight and obesity by age group will be presented, as well as a comparison to the situation in Eastern Mediterranean countries.

CONCLUSIONS

The survey data will be helpful in nutritional studies, assessing changes in dietary patterns, and developing and evaluating nutrition or health policies. It will be a solid base for developing a future national surveillance system on food consumption patterns with comprehensive food consumption, physical activity, biochemical, and blood pressure data.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/41636.

Functions of Melatonin during Postharvest of Horticultural Crops

Melatonin, a tryptophan-derived molecule, is endogenously generated in animal, plant, fungal and prokaryotic cells. Given its antioxidant properties, it is involved in a myriad of signaling functions associated with various aspects of plant growth and development. In higher plants, melatonin (Mel) interacts with plant regulators such as phytohormones, as well as reactive oxygen and nitrogen species including hydrogen peroxide (H2O2), nitric oxide (NO) and hydrogen sulfide (H2S). It shows great potential as a biotechnological tool to alleviate biotic and abiotic stress, to delay senescence and to conserve the sensory and nutritional quality of postharvest horticultural products which are of considerable economic importance worldwide. This review provides a comprehensive overview of the biochemistry of Mel, whose endogenous induction and exogenous application can play an important biotechnological role in enhancing the marketability and hence earnings from postharvest horticultural crops.

Amino acid variability, tradeoffs and optimality in human diet

Studies at the molecular level demonstrate that dietary amino acid intake produces substantial effects on health and disease by modulating metabolism. However, how these effects may manifest in human food consumption and dietary patterns is unknown. Here, we develop a series of algorithms to map, characterize and model the landscape of amino acid content in human food, dietary patterns, and individual consumption including relations to health status, covering over 2,000 foods, ten dietary patterns, and over 30,000 dietary profiles. We find that the type of amino acids contained in foods and human consumption is highly dynamic with variability far exceeding that of fat and carbohydrate. Some amino acids positively associate with conditions such as obesity while others contained in the same food negatively link to disease. Using linear programming and machine learning, we show that these health trade-offs can be accounted for to satisfy biochemical constraints in food and human eating patterns to construct a Pareto front in dietary practice, a means of achieving optimality in the face of trade-offs that are commonly considered in economic and evolutionary theories. Thus this study may enable the design of human protein quality intake guidelines based on a quantitative framework.

Development, Relative Validity, and Reproducibility of a Short Food Frequency Questionnaire for the Japanese

We have developed a short food frequency questionnaire (FFQ) for use in assessing diet quality for Japan, with special reference to the prevention of non-communicable diseases. Here, we assessed the ranking performance of this FFQ and its reproducibility. We developed a 28-item (21 food groups and 7 beverage) FFQ with consideration to both Japanese dietary culture and evidence of disease prevention. Twenty-four university faculty members participated in the validation study. They completed 3-day photographic food record and answered the FFQ on the next day of the last food record (time 1) and a week later (time 2). We calculated Spearman correlation coefficients between intakes of food groups from photographic food records and the consumption frequency from the FFQs (ranking ability) and between the consumption frequency of food groups from the FFQs (time 1 and time 2) (reproducibility). Spearman correlation coefficients between the food records and FFQ (time 1) ranged from −0.12 to 0.86 (median 0.51). These values were comparable to those in comparison with FFQ (time 2). After energy adjustment of intakes from the food records, the corresponding values were somewhat weakened for many food groups. The correlation coefficients between two FFQs ranged from 0.14 to 0.96 (median 0.79). The short FFQ showed acceptable reproducibility and ability to rank the consumption of most food groups.

Dietary behaviors and food insecurity among Houston college students during the COVID-19 pandemic

Objective: This study assessed the impact of the COVID-19 pandemic on college students' nutrition, including dietary behaviors and food security status. Participants: Participants included 140 students between 18 and 25 years of age, who were enrolled in a college or university in the greater Houston area. Methods: Analyses included descriptive statistics, t tests, and ANOVAs to analyze differences in dietary behaviors by demographic variables, and chi-square tests to assess characteristics associated with food security status. Results: The majority of participants reported changing their diets due to the COVID-19 pandemic. There were no significant differences by demographics. However, there were significant differences in food security status by race/ethnicity and social class. Conclusion: This study identified changes and disparities in college students' dietary behaviors and food security status during the COVID-19 pandemic. Findings help inform future policy, programs, and research to address college students' nutrition during the ongoing COVID-19 pandemic.

Examining the context, logistics, and outcomes of food prescription programs: A scoping review

BACKGROUND

Obesity and associated metabolic conditions are endemic. Finding new strategies to mitigate the impact on wellbeing and healthcare systems is critical. Food prescription programs (FPPs) have been promoted as one route to address this problem in a way that simultaneously addresses the socio-cultural context of obesity. Yet, little is known about the standard practices and logistics of using food prescription programs as an effective intervention.

OBJECTIVES

To 1) identify the context in which food prescription programs are used; 2) identify implementation logistics of food prescription program; and 3) understand the scope of food prescription program outcomes.

METHODS

A scoping review was conducted from October 2019 to May 2020 using Google Scholar, EBSCOhost, and AcademicOne Search to identify research articles focused on the implementation of prescription food programs in the US. Updates to articles were made in May of 2021 and May of 2022 to ensure the most up-to-date sample for analysis. There was no publication date restriction for article inclusion.

RESULTS

A total of 213 articles were identified for abstract review via the search strategy, and 30 articles were included for analysis following article exclusion. Overall, there was little consistency among included articles regarding the target population, participant recruitment, delivery, and evaluation of the food prescription programs implemented. Most food prescription programs studied were associated with farmers markets, lasted less than 6 months, and utilized produce consumption and biometric data as primary outcomes measures.

CONCLUSION

Significant gaps in the literature concerning the long-term effectiveness, impact on health behaviors, screening of eligible participants, and logistics for implementation were identified. Future research should focus on addressing these shortcomings in the current literature to improve the implementation, sustainability, and scaling of food prescription programs.

Salient beliefs about modifiable risk behaviours among patients living with diabetes, hypertension or both: A qualitative formative study

Background

Although there is evidence of the key role played by focusing on local knowledge in designing appropriate interventions regarding modifiable risk behaviours among patients living with diabetes and hypertension in Mangochi (and Malawi), little is known about local salient beliefs.

Aim

With a focus on the theory of planned behaviour as a theoretical lens, this study aimed to identify salient beliefs about modifiable risk behaviours among patients with diabetes, hypertension or both in Mangochi, south-eastern Malawi. Specifically, the objectives were to identify advantages and disadvantages (behavioural salient beliefs), people who approve or disapprove (normative salient beliefs) and enablers and barriers (control salient beliefs) for measures to change modifiable risk behaviours among patients with diabetes, hypertension or both in Mangochi, Malawi.

Setting

A hypertension diabetes clinic at Mangochi District Hospital, south-eastern Malawi.

Methods

A formative qualitative study of a quasi-experimental trial was conducted among 25 patients, purposefully sampled, who were living with diabetes, hypertension or both at Mangochi District Hospital in February 2019. Researchers conducted in-depth interviews with patients using an interview guide informed by the theory of planned behaviour’s elicitation interview guide. Thematic content analysis was used to identify emerging themes.

Results

A total of 25 participants were recruited, of which 12 (48%) were living with diabetes. Five thematic areas emerged from this analysis: physical and psychological fitness, social disconnection, perceived support systems, perceived enablers and perceived barriers to change.

Conclusion

Appropriate words for each salient belief were identified. Future researchers should use the identified salient beliefs when designing interventions based on the theory of planned behaviour in diabetes and hypertension.

Contribution

The paper adds to the body of knowledge informing the use of theory of planned behavior in addressing modifiable risk factors among practitioners, specialists and academics in primary care and Family Medicine in the field of noncommunicable diseases in Mangochi Malawi and beyond.

Association of dietary and nutrient patterns with systemic inflammation in community dwelling adults

Purpose

Evidence investigating associations between dietary and nutrient patterns and inflammatory biomarkers is inconsistent and scarce. Therefore, we aimed to determine the association of dietary and nutrient patterns with inflammation.

Methods

Overall, 1,792 participants from the North-West Adelaide Health Study were included in this cross-sectional study. We derived dietary and nutrient patterns from food frequency questionnaire data using principal component analysis. Multivariable ordinal logistic regression determined the association between dietary and nutrient patterns and the grade of inflammation (normal, moderate, and severe) based on C-reactive protein (CRP) values. Subgroup analyses were stratified by gender, obesity and metabolic health status.

Results

In the fully adjusted model, a plant-sourced nutrient pattern (NP) was strongly associated with a lower grade of inflammation in men (OR_Q5vsQ1 = 0.59, 95% CI: 0.38–0.93, p-trend = 0.08), obesity (OR_Q5vsQ1 = 0.43; 95% CI: 0.24–0.77, p-trend = 0.03) and metabolically unhealthy obesity (OR_Q5vsQ1 = 0.24; 95% CI: 0.11–0.52, p-trend = 0.01). A mixed NP was positively associated with higher grade of inflammation (OR_Q5vsQ1 = 1.35; 95% CI: 0.99–1.84, p-trend = 0.03) in all participants. A prudent dietary pattern was inversely associated with a lower grade of inflammation (OR_Q5vsQ1 = 0.72, 95% CI: 0.52–1.01, p-trend = 0.14). In contrast, a western dietary pattern and animal-sourced NP were associated with a higher grade of inflammation in the all participants although BMI attenuated the magnitude of association (OR_Q5vsQ1 = 0.83, 95% CI: 0.55–1.25; and OR_Q5vsQ1 = 0.94, 95% CI: 0.63–1.39, respectively) in the fully adjusted model.

Conclusion

A plant-sourced NP was independently associated with lower inflammation. The association was stronger in men, and those classified as obese and metabolically unhealthy obese. Increasing consumption of plant-based foods may mitigate obesity-induced inflammation and its consequences.

An Overview of Methods and Exemplars of the Use of Mendelian Randomisation in Nutritional Research

Objectives: It is crucial to elucidate the causal relevance of nutritional exposures (such as dietary patterns, food intake, macronutrients intake, circulating micronutrients), or biomarkers in non-communicable diseases (NCDs) in order to find effective strategies for NCD prevention. Classical observational studies have found evidence of associations between nutritional exposures and NCD development, but such studies are prone to confounding and other biases. This has direct relevance for translation research, as using unreliable evidence can lead to the failure of trials of nutritional interventions. Facilitated by the availability of large-scale genetic data, Mendelian randomization studies are increasingly used to ascertain the causal relevance of nutritional exposures and biomarkers for many NCDs. Methods: A narrative overview was conducted in order to demonstrate and describe the utility of Mendelian randomization studies, for individuals with little prior knowledge engaged in nutritional epidemiological research. Results: We provide an overview, rationale and basic description of the methods, as well as strengths and limitations of Mendelian randomization studies. We give selected examples from the contemporary nutritional literature where Mendelian randomization has provided useful evidence on the potential causal relevance of nutritional exposures. Conclusions: The selected exemplars demonstrate the importance of well-conducted Mendelian randomization studies as a robust tool to prioritize nutritional exposures for further investigation.

Avocado consumption is associated with a reduction in hypertension incidence in Mexican women

Avocado is a fruit rich in dietary fibre, potassium, Mg, mono and PUFA and bioactive phytochemicals, which are nutritional components that have been associated with cardiovascular health. Yet, despite the boom in avocado consumption, we lack evidence on its association with CVD risk in the general population. To estimate the prospective association between avocado consumption and incident hypertension in Mexican women, we estimated the association in participants from the Mexican Teachers’ Cohort who were ≥ 25 years, free of hypertension, CVD and cancer at baseline (n 67 383). We assessed baseline avocado consumption with a semi-quantitative FFQ (never to six or more times per week). Incident hypertension cases were identified if participants self-reported a diagnosis and receiving treatment. To assess the relation between categories of avocado consumption (lowest as reference) and incident hypertension, we estimated incidence rate ratios (IRR) and 95 % CI using Poisson regression models and adjusting for confounding. We identified 4002 incident cases of hypertension during a total of 158 706 person-years for a median follow-up of 2·2 years. The incidence rate of hypertension was 25·1 cases per 1000 person-years. Median avocado consumption was 1·0 (interquartile range: 0·23, 1·0) serving per week (half an avocado). After adjustment for confounding, consuming 5 + servings per week of avocado was associated with a 17 % decrease in the rate of hypertension, compared with non- or low consumers (IRR = 0·83; 95 % CI: 0·70, 0·99; Ptrend = 0·01). Frequent consumption of avocado was associated with a lower incidence of hypertension.

Public Awareness of Diet-Related Diseases and Dietary Risk Factors: A 2022 Nationwide Cross-Sectional Survey among Adults in Poland

A suboptimal diet is a risk factor for numerous non-communicable diseases. This study aimed to assess the level of knowledge on diet-related diseases and dietary risk factors among adults in Poland as well as to identify factors associated with awareness of diet-related diseases and dietary risk factors. This cross-sectional survey was carried out in July 2022 on a representative sample of adults in Poland. Data were received from 1070 individuals (53.3% females) aged 18−89 years. Out of eight diet-related diseases included in this study, overweight/obesity was the most recognized diet-related disease (85.0%). Stroke (26.2%) and osteoporosis (17.9%) were the least recognized diet-related diseases. Out of eight dietary risk factors included in this study, excessive consumption of sugar and salt (73.4%) was the most recognized dietary risk factor. Less than half of the respondents were aware that (1) too little vitamin intake, (2) too little intake of calcium and magnesium, (3) too little consumption of fish and oils, and (4) too little dietary fiber intake can lead to the development of the diseases. Having higher education and the presence of chronic diseases were the most important factors associated with a higher level of awareness of diet-related diseases and dietary risk factors (p < 0.05).

Personalized Nutrition in the Management of Female Infertility: New Insights on Chronic Low-Grade Inflammation

Increasing evidence on the significance of nutrition in reproduction is emerging from both animal and human studies, suggesting a mutual association between nutrition and female fertility. Different “fertile” dietary patterns have been studied; however, in humans, conflicting results or weak correlations are often reported, probably because of the individual variations in genome, proteome, metabolome, and microbiome and the extent of exposure to different environmental conditions. In this scenario, “precision nutrition”, namely personalized dietary patterns based on deep phenotyping and on metabolomics, microbiome, and nutrigenetics of each case, might be more efficient for infertile patients than applying a generic nutritional approach. In this review, we report on new insights into the nutritional management of infertile patients, discussing the main nutrigenetic, nutrigenomic, and microbiomic aspects that should be investigated to achieve effective personalized nutritional interventions. Specifically, we will focus on the management of low-grade chronic inflammation, which is associated with several infertility-related diseases.

Gastrointestinal Cancer Patient Nutritional Management: From Specific Needs to Novel Epigenetic Dietary Approaches

Nutritional habits impinge on the health of the gastrointestinal (GI) tract, contributing to GI disorder progression. GI cancer is a widespread and aggressive tumor sensitive to nutritional changes. Indeed, specific nutritional expedients can be adopted to prevent GI cancer onset and to slow down disease activity. Moreover, the patient’s nutritional status impacts prognosis, quality of life, and chemotherapy tolerance. These patients encounter the highest frequency of malnourishment risk, a condition that can progressively evolve into cachexia. Clinical studies dealing with this topic stressed the importance of nutritional counseling and put under the spotlight nutrient delivery, the type of nutrient supplementation, and timing for the start of nutritional management. A medical practitioner well-prepared on the topic of nutrition and cancer should operate in the clinical team dedicated to these oncological patients. This specific expertise needs to be implemented as soon as possible to adopt nutritional interventions and establish a proper patient-tailored dietary regimen. The nutritional gap closure should be prompt during anticancer treatment to stabilize weight loss, improve treatment tolerability, and ameliorate survival rate. Recently, novel nutritional approaches were investigated to target the bidirectional link between epigenetics and metabolism, whose alteration supports the onset, progression, and therapeutic response of GI cancer patients.

Spatial distribution of sedentary behavior and unhealthy eating habits in Belo Horizonte, Brazil: the role of the neighborhood environment

The study aimed to analyze the spatial distribution of sedentary behavior and unhealthy eating habits, and to assess its relationship with the neighborhood environment. Cross-sectional study with data of Surveillance System of Risk and Protective Factors for Chronic Diseases, carried out in Belo Horizonte, Minas Gerais. Watching television for four hours or more per day was identified as sedentary behavior. Unhealthy eating habits were defined based on regular consumption of sodas, excess fat meat, and red meat, and irregular consumption of fruits and vegetables. Georeferenced data of places for physical activity, food establishments, population and residential density, homicide rate, mean total income, and social vulnerability index were entered into the Vigitel database. The coverage area by basic health units was used as the geographical unit of neighborhood. SaTScan was used to analyze the spatial distribution. Spatial analysis identified a significant cluster of high prevalence of sedentary behavior and unhealthy eating habits, after adjusting for sociodemographic characteristics. The comparison of environmental characteristics inside and outside clusters showed significant differences in the physical and social environment. Physical and social environment might be related to clusters of high prevalence of sedentary behavior and unhealthy eating habits.

Association between dietary patterns and stroke in patients with type 2 diabetes mellitus in China: a propensity score-matched analysis

OBJECTIVE

This study aimed to examine the impact of different dietary patterns on stroke outcomes among type 2 diabetes mellitus (T2DM) patients in China.

DESIGN

Participants were enrolled by a stratified random cluster sampling method in the study. After collecting dietary data using a quantified food frequency questionnaire, latent class analysis was used to identify dietary patterns, and propensity score matching was used to reduce confounding effects between different dietary patterns. Binary logistic regression and conditional logistic regression were used to analyze the relationship between dietary patterns and stroke in patients with T2DM.

SETTING

A cross-sectional survey available from December 2013 to January 2014.

PARTICIPANTS

A total of 13731 Chinese residents aged 18 years or over.

RESULTS

Two dietary patterns were identified: 61.2% of T2DM patients were categorized in the High-fat dietary pattern while 38.8% of patients were characterized by the Balanced dietary pattern. Compared to the High-fat dietary pattern, the Balanced dietary pattern was associated with reduced stroke risk (OR=0.63, 95%CI: 0.52-0.76, P<0.001) after adjusting for confounding factors. The protective effect of the balanced model did not differ significantly (interaction P>0.05).

CONCLUSION

This study provides sufficient evidence to support the dietary intervention strategies to prevent stroke effectively. Maintaining a Balanced dietary pattern, especially with moderate consumption of foods rich in quality protein and fresh vegetables in T2DM patients, might decrease the risk of stroke in China.

The dietary inflammatory index, obesity, type 2 diabetes, and cardiovascular risk factors and diseases

An unhealthy diet is a recognized risk factor in the pathophysiology of numerous chronic noncommunicable diseases (NCD), including obesity, type 2 diabetes (T2DM), and cardiovascular diseases (CVD). This is, at least in part, due to unhealthy diets causing chronic low-grade inflammation in the gut and systemically. To characterize the inflammatory potential of diet, we developed the Dietary Inflammatory Index (DII®). Following this development, around 500 papers have been published, which examined the association between the DII, energy-adjusted DII (E-DII™), and the children's DII (C-DII™) and many chronic NCDs including obesity and cardiometabolic diseases. Although a previous narrative review published in 2019 briefly summarized the evidence in this area, there was a significant increase in papers on this topic since 2020. Therefore, the purpose of this narrative review is to provide an in-depth updated review by including all papers until July 2021 on DII and its relationship with obesity, T2DM, and CVD. Furthermore, we aim to identify potential gaps in the literature and provide future directions for research. Most studies found that DII was associated with an increased risk of obesity, T2DM, and CVD with some relationships being sex-specific. However, we identified the paucity of papers describing associations between dietary inflammation and T2DM and its risk factors. Few studies used gold-standard measures of cardiometabolic risk factors. We also identified the lack of interventional studies designed to change the inflammatory potential of diets and study its effect on cardiometabolic risk factors and diseases. We recommend that such interventional studies are needed to assess if changes in DII, representing the inflammatory potential of diet, independently of changes in body composition can modulate cardiometabolic risk factors and diseases.

Fat intake pattern in women with polycystic ovary syndrome

RESEARCH QUESTION

Do women with polycystic ovary syndrome (PCOS) have a different fat intake pattern to women without PCOS?

DESIGN

Case-control study of 276 women between 20 and 35 years old from the Murcia region of Spain. Cases (n = 121) attended the Department of Gynaecology and Obstetrics of the University Clinical Hospital and were diagnosed with PCOS using Rotterdam criteria. Controls (n = 155) were women without PCOS attending the gynaecological outpatient clinic for routine gynaecological examinations. Data from clinical, gynaecological and analytical examinations were collected, including a food frequency questionnaire. Associations between fat intake and presence of PCOS and its phenotypes were examined using multiple logistic regression, adjusting for potential confounding factors.

RESULTS

Although no association was found between fatty acid intake and PCOS, significant associations were observed for some PCOS phenotypes. The PCOS phenotype characterized by hyperandrogenism + oligo/amenorrhoea + polycystic ovarian morphology ('H+O+POM') was significantly associated with a higher intake of polyunsaturated fat (odds ratio [OR] 4.0; 95% confidence interval [CI] 1.1-14.2; fourth quartile of highest intake [Q4] versus lowest intake quartile as reference [Q1]) and omega-6 fatty acids (OR 3.5; 95% CI 1.01-12.4; Q3 versus Q1). The 'H+O' phenotype was positively associated with saturated fat intake (OR 6.9; 95% CI 1.1-41.6; Q4 versus Q1).

CONCLUSION

This exploratory study suggests that higher intakes of specific fatty acids are related to some PCOS phenotypes although no association was found for PCOS on a global basis. It is recommended that studies with larger sample size be performed to further explore these associations, thus contributing to establishing recommendations about fat intake adapted to different PCOS phenotypes.

The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study

Background

As poor diet quality is a significant risk factor for multiple noncommunicable diseases prevalent in the United States, it is important that methods be developed to accurately capture eating behavior data. There is growing interest in the use of ecological momentary assessments to collect data on health behaviors and their predictors on a micro timescale (at different points within or across days); however, documenting eating behaviors remains a challenge.

Objective

This pilot study (N=48) aims to examine the feasibility—usability and acceptability—of using smartphone-captured and crowdsource-labeled images to document eating behaviors in real time.

Methods

Participants completed the Block Fat/Sugar/Fruit/Vegetable Screener to provide a measure of their typical eating behavior, then took pictures of their meals and snacks and answered brief survey questions for 7 consecutive days using a commercially available smartphone app. Participant acceptability was determined through a questionnaire regarding their experiences administered at the end of the study. The images of meals and snacks were uploaded to Amazon Mechanical Turk (MTurk), a crowdsourcing distributed human intelligence platform, where 2 Workers assigned a count of food categories to the images (fruits, vegetables, salty snacks, and sweet snacks). The agreement among MTurk Workers was assessed, and weekly food counts were calculated and compared with the Screener responses.

Results

Participants reported little difficulty in uploading photographs and remembered to take photographs most of the time. Crowdsource-labeled images (n=1014) showed moderate agreement between the MTurk Worker responses for vegetables (688/1014, 67.85%) and high agreement for all other food categories (871/1014, 85.89% for fruits; 847/1014, 83.53% for salty snacks, and 833/1014, 81.15% for sweet snacks). There were no significant differences in weekly food consumption between the food images and the Block Screener, suggesting that this approach may measure typical eating behaviors as accurately as traditional methods, with lesser burden on participants.

Conclusions

Our approach offers a potentially time-efficient and cost-effective strategy for capturing eating events in real time.

Why We Eat the Way We Do: A Call to Consider Food Culture in Public Health Initiatives

The way we eat has changed dramatically in only a few decades. While definitions of food culture have previously existed, a clear description of modern food culture that can be used for health promotion is lacking. In this paper, we propose a concept of food culture for application within public health, what a positive food culture looks like compared to negative elements that have dominated in developed countries and the consequences for physical and mental health and wellbeing. We support calls to action from the international community to reconsider the way we eat. All segments of society have a role to play in building a positive food culture, and it is critical that macro (policy and systems) and meso (community) level environmental factors align and provide supportive environments that promote health-enhancing behaviours. Defining food culture is a necessary step towards articulating the complexities that influence food behaviours and impact health. The ultimate goal is collective action to enable population-wide and sustained improvements to the way we eat, and how we think and feel about food.

Development of an EAT-Lancet index and its relation to mortality in a Swedish population

BACKGROUND

Current global food systems threaten human health and environmental sustainability. In 2019, the EAT-Lancet Commission on healthy diets from sustainable food systems defined the first global reference diet to improve both areas, but there is no consensus on how to quantify the EAT-Lancet reference diet as a diet index, and its relation to mortality has not been widely studied.

OBJECTIVES

We sought to develop a new dietary index to quantify adherence to the EAT-Lancet diet and assess its association with mortality in a large, population-based Swedish cohort. We also examined food components included in the index and their individual associations with mortality.

METHODS

We used the Malmö Diet and Cancer cohort (n = 22,421; 45-73 years old at baseline). Dietary data were collected using a modified diet history method. The EAT-Lancet index was developed based on intake levels and reference intervals of 14 food components defined in the EAT-Lancet diet (0-3 points per component; 0-42 points in total). Associations with mortality were examined based on registers during a mean of 20 years of follow-up and were adjusted for potential confounders.

RESULTS

Divided into 5 adherence groups, the highest adherence to the EAT-Lancet diet (≥23 points) was associated with lower all-cause mortality (HR, 0.75; 95% CI, 0.67-0.85), cancer mortality (HR, 0.76; 95% CI, 0.63-0.92), and cardiovascular mortality (HR, 0.68; 95% CI, 0.54-0.84) than the lowest adherence (≤13 points). Several food components included in the index contributed to the observed reductions in mortality.

CONCLUSIONS

We developed a new dietary index to investigate adherence to the EAT-Lancet diet. The findings indicate a 25% lower risk of mortality among those with the highest adherence to the EAT-Lancet diet, as defined using our index, which adds to the evidence base for the development of sustainable dietary guidelines.

Diet quality and risk and severity of COVID-19: a prospective cohort study

OBJECTIVE

Poor metabolic health and unhealthy lifestyle factors have been associated with risk and severity of COVID-19, but data for diet are lacking. We aimed to investigate the association of diet quality with risk and severity of COVID-19 and its interaction with socioeconomic deprivation.

DESIGN

We used data from 592 571 participants of the smartphone-based COVID-19 Symptom Study. Diet information was collected for the prepandemic period using a short food frequency questionnaire, and diet quality was assessed using a healthful Plant-Based Diet Score, which emphasises healthy plant foods such as fruits or vegetables. Multivariable Cox models were fitted to calculate HRs and 95% CIs for COVID-19 risk and severity defined using a validated symptom-based algorithm or hospitalisation with oxygen support, respectively.

RESULTS

Over 3 886 274 person-months of follow-up, 31 815 COVID-19 cases were documented. Compared with individuals in the lowest quartile of the diet score, high diet quality was associated with lower risk of COVID-19 (HR 0.91; 95% CI 0.88 to 0.94) and severe COVID-19 (HR 0.59; 95% CI 0.47 to 0.74). The joint association of low diet quality and increased deprivation on COVID-19 risk was higher than the sum of the risk associated with each factor alone (Pinteraction=0.005). The corresponding absolute excess rate per 10 000 person/months for lowest vs highest quartile of diet score was 22.5 (95% CI 18.8 to 26.3) among persons living in areas with low deprivation and 40.8 (95% CI 31.7 to 49.8) among persons living in areas with high deprivation.

CONCLUSIONS

A diet characterised by healthy plant-based foods was associated with lower risk and severity of COVID-19. This association may be particularly evident among individuals living in areas with higher socioeconomic deprivation.

Gastronomy unravelled by physics: Gastrophysics

Useful attempts to shed light on the nature of gastronomy from a scientific point of view and to unravel the crucial connection between food, eating and well-being are currently underrepresented in the scientific literature. However, several scientific disciplines ranging from the natural to the social sciences offer valuable new perspectives on gastronomy. As one of the key disciplines in natural science, physics offers original and rigorous perspectives on all processes and structures constrained by the laws of nature. The emerging discipline called gastrophysics employs the full range of concepts, techniques and methods from physics to generate useful scientific input to the complex and holistic reflections on gastronomy. Relying on a review of the existing literature, this article illustrates how a science-based gastrophysics emerges, to a large extent from the convoluted history of food science as well as from various recent ‐ and often overlapping ‐ attempts to combine modern scientific methodology to questions from gastronomy. However, the present review also insists on a physics-inspired methodology to handle scale and complexity in food preparation and consumption across length scales from sub-molecular to entire foods. We exemplify how gastrophysics directly helps to develop gastronomy and how it adds to current approaches in traditional food science. We also suggest that gastrophysics may prove relevant in the context of the ongoing food transformation, which focuses strongly on sustainability, but where the importance of gastronomic aspects in this transformation is greatly needed.

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment

BACKGROUND

Calorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus.

METHODS AND FINDINGS

We obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data.

CONCLUSIONS

In this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Food and health promotion literacy among employees with a low and medium level of education in the Netherlands

BACKGROUND

Prior research indicates a positive association between socioeconomic position and health literacy levels. We hypothesize comparable socioeconomic gradients for food literacy. This study aims to determine the level of self-perceived food literacy and health promotion literacy among adults with a low and medium level of education and from various subgroups, as well as the association between these food and health literacy levels. Furthermore, this study aims to explore the associations of self-perceived food literacy (SPFL) and health promotion literacy (HPL) in BMI.

METHODS

A cross-sectional study was conducted among employees with a low and medium level of education. Descriptive analyses were performed to compute SPFL and HPL levels. Analyses of variance were performed to test differences between subgroups. The correlation between SPFL and HPL was computed by Pearson's r. Multivariate linear regression analyses were used to explore 1) the association between SPFL and HPL adjusted for demographic characteristics 2) the associations between SPFL and HPL in BMI.

RESULTS

The majority (63.1%) of all participants (n = 222) scored low on SPFL and 34.5% scored inadequate or problematic on HPL. No significant educational or weight-status differences were found in SPFL or HPL levels. On most levels, women compared to men and older compared to younger employees scored significantly higher. A small positive correlation between the two mean levels was found, r = .25, P < .001 (n = 203). Multivariate linear regression analyses showed a significant association between SPFL and HPL (B = .31, 95% CI = .15-.48). No significant associations between SPFL and HPL in BMI were found.

CONCLUSIONS

This study suggests there is room for improvement in SPFL and HPL among adults with a low and medium level of education. Future research should consider comparing low and middle socioeconomic with high socioeconomic groups when exploring food and health literacy. Regarding health promotion activities for adults with a low and medium level of education, it is recommended to focus on improving both food and health literacy. Furthermore, more research is needed to explore direct proxies of weight-status to better understand the role of food and health literacy in overweight patterns.

Comparing dietary score associations with lipoprotein particle subclass profiles: A cross-sectional analysis of a middle-to older-aged population

BACKGROUND AND OBJECTIVES

Lipoprotein particle concentrations and size are associated with increased risk for atherosclerosis and premature cardiovascular disease. Studies also suggest that certain dietary behaviours may be cardioprotective. Limited comparative data regarding any dietary score/index-lipoprotein particle subclass associations exist. Thus, our objective was to assess relationships between the Dietary Approaches to Stop Hypertension (DASH), Health Eating Index-2015 (HEI-2015), Mediterranean Diet (MD) and Energy-adjusted Dietary Inflammatory Index (E-DII™) scores and plasma lipids and lipoprotein profiles to test the hypothesis that healthier diet (better quality and more anti-inflammatory) would be associated with a more favourable lipoprotein profile.

MATERIALS AND METHODS

This was a cross-sectional study of 1862 men and women aged 46-73 years, randomly selected from a large primary care centre in Ireland. DASH, HEI-2015, MD and E-DII scores were derived from food frequency questionnaires. Lipoprotein subclass particle concentrations and size were determined using nuclear magnetic resonance spectroscopy. Correlation and multivariate-adjusted linear regression analyses with correction for multiple testing were performed to examine dietary score relationships with lipoprotein particle subclasses.

RESULTS

In fully adjusted models, higher diet quality or a more anti-inflammatory diet was associated with less large and medium very low-density lipoprotein (VLDL) (DASH and HEI-2015), intermediate-density lipoprotein (IDL) (DASH, MD and E-DII) and small high-density lipoprotein (HDL) (DASH, HEI-2015 and E-DII) particles. After accounting for multiple testing, relationships with large VLDL (DASH: β = -0.102, p = .037), IDL (DASH: β = -0.089, p = .037) and small HDL (DASH: β = -0.551, p = .014 and E-DII: β = 0.483, p = .019) concentrations persisted.

CONCLUSIONS

These findings provide evidence that better diet quality, determined by the DASH score, may be more closely associated with a more favourable lipoprotein particle subclass profile in middle-to older-aged adults than the HEI-2015, MD and E-DII scores. A less pro-atherogenic lipoprotein status may be a potential mechanism underlying the cardioprotective effects of higher dietary quality.

Diet can exert both analgesic and pronociceptive effects in acute and chronic pain models: a systematic review of preclinical studies

BACKGROUND

Although diet is an essential aspect of human health, the link between diet and pain is still not well understood. Preclinical animal research provides information to understand underlying mechanisms that allow identifying the needs for human research.

OBJECTIVES

This study aims to give a systematic overview of the current evidence from preclinical studies regarding the analgesic and pronociceptive effects of various diets in non-neuropathic, non-cancer, or non-visceral acute and chronic pain models.

STUDY DESIGN

A systematic Review.

SETTING

This study examined studies that investigate the analgesic and pronociceptive effects of various diets in non-neuropathic, non-cancer, or non-visceral acute and chronic pain models.

METHODS

This review was conducted following the PRISMA guidelines and was registered in PROSPERO with the registration number CRD42019133473. The certainty of evidence was examined by a modified GRADE approach.

RESULTS

After the screening process twenty-four eligible papers were included in this review. Nineteen studies examined acute pain, nine studies chronic inflammatory pain, and four studies assessed both acute and chronic pain models.

LIMITATIONS

Due to the heterogeneity of the included studies, a meta-analysis was not included in this study.

CONCLUSIONS

In animal models, excessive saturated, monounsaturated or omega-6 polyunsaturated fat ingestion and diets rich in fats and carbohydrates can decrease pain sensitivity in acute nociceptive pain, whereas it can induce mechanical allodynia and heat hyperalgesia in chronic inflammatory pain. Additionally, diets rich in anti-inflammatory ingredients, as well as a calorie-restricted diet can promote recovery from primary mechanical allodynia and heat hyperalgesia in chronic inflammatory pain.

Macronutrient Determinants of Obesity, Insulin Resistance and Metabolic Health

Obesity caused by the overconsumption of calories has increased to epidemic proportions. Insulin resistance is often associated with an increased adiposity and is a precipitating factor in the development of cardiovascular disease, type 2 diabetes, and altered metabolic health. Of the various factors contributing to metabolic impairments, nutrition is the major modifiable factor that can be targeted to counter the rising prevalence of obesity and metabolic diseases. However, the macronutrient composition of a nutritionally balanced "healthy diet" are unclear, and so far, no tested dietary intervention has been successful in achieving long-term compliance and reductions in body weight and associated beneficial health outcomes. In the current review, we briefly describe the role of the three major macronutrients, carbohydrates, fats, and proteins, and their role in metabolic health, and provide mechanistic insights. We also discuss how an integrated multi-dimensional approach to nutritional science could help in reconciling apparently conflicting findings.

The burden of disease of three food-associated heavy metals in clusters in the Danish population - Towards targeted public health strategies

Lifestyle and sociodemographics are likely to influence dietary patterns, and, as a result, human exposure to chemical contaminants in foods and their associated health impact. We aimed to characterize subgroups of the Danish population based on diet and sociodemographic indicators, and identify those bearing a higher disease burden due to exposure to methylmercury (MeHg), cadmium (Cd) and inorganic arsenic (i-As). We collected dietary, lifestyle, and sociodemographic data on the occurrence of chemical contaminants in foods from Danish surveys. We grouped participants according to similarities in diet, lifestyle, and sociodemographics using Self-Organizing Maps (SOM), and estimated disease burden in disability-adjusted life years (DALY). SOM clustering resulted in 12 population groups with distinct characteristics. Exposure to contaminants varied between clusters and was largely driven by intake of fish, seafood and cereal products. Five clusters had an estimated annual burden >20 DALY/100,000. The cluster with the highest burden had a high proportion of women of childbearing age, with most of the burden attributed to MeHg. Individuals belonging to the top three clusters had higher education and physical activity, were mainly non-smokers and lived in urban areas. Our findings may facilitate the development of preventive strategies targeted to the most affected subgroups.

Development of a Diet Quality Screener for Global Use: Evaluation in a Sample of US Women

BACKGROUND

Valid and efficient tools for measuring and tracking diet quality globally are lacking.

OBJECTIVE

The objective of the study was to develop and evaluate a new tool for rapid and cost-efficient diet quality assessment.

DESIGN

Two screener versions were designed using Prime Diet Quality Score (PDQS), one in a 24-hour recall (PDQS-24HR) and another in a 30-day (PDQS-30D) food frequency format. Participants completed two 24-hour diet recalls using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) and 2 web-based diet quality questionnaires 7 to 30 days apart in April and May 2019. Both dichotomous/trichotomous and granular scoring versions were tried for each screener.

PARTICIPANTS/SETTING

The study included 290 nonpregnant, nonlactating US women (mean age ± standard deviation 41 ± 11 years) recruited via Amazon Mechanical Turk.

MAIN OUTCOME MEASURES

The main outcome measures were Spearman rank correlation coefficients and linear regression beta-coefficients between ASA24 nutrient intakes from foods and beverages and PDQS values.

STATISTICAL ANALYSES PERFORMED

The Spearman rank correlation and linear regression were used to evaluate associations of the PDQS values with ASA24 nutrient intakes from food, both crude and energy-adjusted. Correlations were de-attenuated for within-person variation in 24-hour recalls. Wolfe's test was used to compare correlations of the 2 screening instruments (PDQS-24HR and PDQS-30D) with the ASA24. Associations between the ASA24 Healthy Eating Index 2015 and the PDQS values were also evaluated.

RESULTS

Positive, statistically significant rank correlations between the PDQS-24HR values and energy-adjusted nutrients from ASA24 for fiber (r = 0.53), magnesium (r = 0.51), potassium (r = 0.48), vitamin E (r = 0.40), folate (r = 0.37), vitamin C (r = 0.36), vitamin A (r = 0.33), vitamin B6 (r = 0.31), zinc (r = 0.25), and iron (r = 0.21); and inverse correlations for saturated fatty acids (r = -0.19), carbohydrates (r = -0.22), and added sugar (r = -0.34) were observed. Correlations of nutrient intakes assessed by ASA24 with the PDQS-30D were not significantly different from those with the PDQS-24HR. Positive, statistically significant correlations between the ASA24 Healthy Eating Index 2015 and the PDQS-24HR (r = 0.61) and the PDQS-30D (r = 0.60) were also found.

CONCLUSIONS

The results of an initial evaluation of the PDQS-based diet quality screeners are promising. Correlations and associations between the PDQS values and nutrient intakes were of acceptable strength and in the expected directions, and the PDQS values had moderately strong correlations with the total Healthy Eating Index 2015 score. Future work should include evaluating the screeners in other population groups, including men, and piloting it across low- and middle-income countries.