The Food Compass is a nutrient profiling system (NPS) to characterize the healthfulness of diverse foods, beverages and meals. In a nationally representative cohort of 47,999 U.S. adults, we validated a person’s individual Food Compass Score (i.FCS), ranging from 1 (least healthful) to 100 (most healthful) based on cumulative scores of items consumed, against: (a) the Healthy Eating Index (HEI) 2015; (b) clinical risk factors and health conditions; and (c) all-cause mortality. Nationally, the mean (SD) of i.FCS was 35.5 (10.9). i.FCS correlated highly with HEI-2015 (R = 0.81). After multivariable-adjustment, each one SD (10.9 point) higher i.FCS associated with more favorable BMI (−0.60 kg/m² [−0.70,−0.51]), systolic blood pressure (−0.69 mmHg [−0.91,−0.48]), diastolic blood pressure (−0.49 mmHg [−0.66,−0.32]), LDL-C (−2.01 mg/dl [−2.63,−1.40]), HDL-C (1.65 mg/d [1.44,1.85]), HbA1c (−0.02% [−0.03,−0.01]), and fasting plasma glucose (−0.44 mg/dL [−0.74,−0.15]); lower prevalence of metabolic syndrome (OR = 0.85 [0.82,0.88]), CVD (0.92 [0.88,0.96]), cancer (0.95 [0.91,0.99]), and lung disease (0.92 [0.88,0.96]); and higher prevalence of optimal cardiometabolic health (1.24 [1.16,1.32]). i.FCS also associated with lower all-cause mortality (HR = 0.93 [0.89,0.96]). Findings were similar by age, sex, race/ethnicity, education, income, and BMI. These findings support validity of Food Compass as a tool to guide public health and private sector strategies to identify and encourage healthier eating.

Background: Identity is a major construct in the fields of psychology and anthropology that can relate to both the maintenance of eating behaviors and cultural sensitivity. However, there has not been any systematic effort to understand the role of identity in eating behaviors and the maintenance of eating behaviors, or to address multiple aspects of identity within an individual across scientific disciplines. This scoping review aims to understand and describe existing research relating identity to eating behaviors and to detail the measurement of identity. Methods: We conducted a systematic search of Ovid, PsychINFO, Embase, and Web of Science for articles on identity and eating behaviors published between January 1946 and March 2022. We utilized the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist, and search methods were developed with the assistance of a research librarian. We rated articles from 1 to 5 based on the depth, complexity, and multi-dimensionality of the identity measurement conducted. Scoring criteria included a review of the number of items directly querying or evaluating identity and the extent of measurement of identity domains. Results: In total, 100 articles were included, examining 10 different identities, 8 identity constructs, 11 eating behaviors, and construct contributions from 26 theories. The mean score of all articles was 2.9 on the scale from 1 to 5. A total of 10 studies scored a “1”; 30 scored a “2”, indicating the use of 1–2 basic questions about identity; 31 received a “3” for use of a common but non-complex identity instrument; 19 received a “4”, meaning they contained strong evaluation and included multiple types of identity but were lacking in terms of depth of measure and/or the comparison of identity effects to constructs; and 10 scored a “5” for their strong, in-depth measure of identity and inclusion of multiple types. Identity was found to be significantly related to eating behaviors in all but one study. Conclusion: Identity measurements seldom accounted for complexities such as multiple identities and identity shifting over time. Nonetheless, our findings indicate that multiple aspects of identity reciprocally reinforce behavior and that change maintenance is associated with identity salience and centrality. Identity is underutilized and heterogeneously applied in eating behavior research. The inclusion of identity assessments may lead to better outcomes being obtained within differing cultural, normative, and environmental scenarios.

Peanut hulls (PHs) are an edible food waste that is an underutilized food source for human consumption. While edible and palatable, currently they are mainly diverted to livestock feed or building materials. Here, we describe existing literature supporting human food valorization of PHs, and propose methods to optimize recapturing nutrients (protein, fiber, phenols and other phytonutrients) lost by treating PHs as waste. Incorporated into common foods, PHs could be processed into functional ingredients to improve nutrient-density with anticipated corresponding positive health outcomes associated with increases in plant foods. Valorization of PHs addresses multiple priorities of the UN Sustainable Development Goals using a Food Systems Approach (FSA) including reducing food waste, increasing economic opportunities for farmers, and increasing the availability of healthy shelf-stable foodstuffs to address food security. Recent advances in sustainable food processing technologies can be utilized to safely incorporate PHs into human food streams. We propose future applications that could make meaningful impacts for food availability and the nutritional composition of common foods like bread and plant-based meat alternatives. While the limited literature on this topic spans several decades, no commercial operations currently exist to process PHs for human consumption, and most literature on the topic precedes the technological “green revolution.” The approaches outlined in this review may help bolster commercialization of this underutilized and nutritious food potentially improving opportunities for multiple global stakeholders.

The market share of e‐commerce grocery is swiftly rising, but online product listings may present different environmental sustainability and public health information. We analyzed product marketing content available on retailer websites and product images, comparing plant‐based (PBFs) and animal‐sourced foods (ASFs). Over sixteen thousand marketing and labeling content observations were gathered from seven leading U.S. e‐commerce grocery retailers for top‐selling ASFs and closely‐matched PBFs (N = 134; n = 68 PBFs, n = 66 ASFs), including sustainability, mandatory information, health, sourcing, and hedonic/emotional claims. PBFs averaged 47 total claims, ASFs 28. On‐web claims were substantially higher than on‐pack (PBFs 34 on‐web, 12 on‐pack; ASFs 19 and nine, respectively). On‐web information for the same products varied considerably across retailers, especially for sustainability and mandatory information. PBFs presented mostly sustainability claims on‐pack and health claims on‐web. ASFs led emotional claims and made almost no sustainability claims across settings. Across settings, mandatory information compliance was greater among PBFs whereas ASFs notably lacked disclosures for foods with major allergens. Online grocery lacks standardization—businesses should regard differences as opportunities for marketing sustainable foods.

Lifestyle programs that reduce health risks and support weight loss (WL) in older adults face adherence and attendance challenges due to reduced energy requirements, impaired mobility, lack of transportation, and low social support. Tailored lifestyle and weight management programs are needed to better support healthy aging for older adults. Here, we developed and piloted an age-adapted, remotely delivered modification of the Diabetes Prevention Program (DPP). The modification includes age-appropriate goals, visuals, and examples; flexible dietary composition; remote classroom and fitness-monitoring technology; and standardized online classroom materials employing pedagogical and behavior change theory. The modifications were designed to safeguard fidelity and to boost adherence, engagement, and knowledge integration, with the convenience of a fully remote WL program for diverse older adults. Six-month pilot data are presented from older adults (55–85 years, body mass index (BMI) 27–39.9 kg/m², N = 20) randomly allocated to an online DPP intervention with weight, diet, and activity monitored remotely, or into a waitlisted control. The intervention achieved 100% attendance and adherence to self-monitoring. The intervention group mean (±SD) body weight change was −9.5% (±4.1); 90% lost ≥ 5%. By contrast, the control group gained 2.4% (±1.8). Once thought incompatible with older adults, remote interventions are feasible for older adults and can support fidelity, adherence, engagement, and clinically significant WL. Standardized materials are provided for future implementation.