Explore the vast range of titles available.

Human food systems are a key contributor to climate change and other environmental concerns. While the environmental impacts of diets have been evaluated at the aggregate level, few studies, and none for the US, have focused on individual self-selected diets. Such work is essential for estimating a distribution of impacts, which, in turn, is key to recommending policies for driving consumer demand towards lower environmental impacts. To estimate the impact of US dietary choices on greenhouse gas emissions (GHGE) and energy demand, we built a food impacts database from an exhaustive review of food life cycle assessment (LCA) studies and linked it to over 6000 as-consumed foods and dishes from 1 day dietary recall data on adults (N = 16 800) in the nationally representative 2005-2010 National Health and Nutrition Examination Survey. Food production impacts of US self-selected diets averaged 4.7 kg CO2 eq. person−1 day−1 (95% CI: 4.6-4.8) and 25.2 MJ non-renewable energy demand person−1 day−1 (95% CI: 24.6-25.8). As has been observed previously, meats and dairy contribute the most to GHGE and energy demand of US diets; however, beverages also emerge in this study as a notable contributor. Although linking impacts to diets required the use of many substitutions for foods with no available LCA studies, such proxy substitutions accounted for only 3% of diet-level GHGE. Variability across LCA studies introduced a ±19% range on the mean diet GHGE, but much of this variability is expected to be due to differences in food production locations and practices that can not currently be traced to individual dietary choices. When ranked by GHGE, diets from the top quintile accounted for 7.9 times the GHGE as those from the bottom quintile of diets. Our analyses highlight the importance of utilizing individual dietary behaviors rather than just population means when considering diet shift scenarios.

Background Do the environmental impacts inherent in national food-based dietary guidelines (FBDG) vary around the world, and, if so, how? Most previous studies that consider this question focus on a single country or compare countries’ guidelines without controlling for differences in country-level consumption patterns. To address this gap, we model the carbon footprint of the dietary guidelines from seven different countries, examine the key contributors to this, and control for consumption differences between countries. Methods In this purposive sample, we obtained FBDG from national sources for Germany, India, the Netherlands, Oman, Thailand, Uruguay, and the United States. These were used to structure recommended diets using 6 food groups: protein foods, dairy, grains, fruits, vegetables, and oils/fats. To determine specific quantities of individual foods within these groups, we used data on food supplies available for human consumption for each country from the UN Food and Agriculture Organization’s food balance sheets. The greenhouse gas emissions (GHGE) used to produce the foods in these consumption patterns were linked from our own database, constructed from an exhaustive review of the life cycle assessment literature. All guidelines were scaled to a 2000-kcal diet. Results Daily recommended amounts of dairy foods ranged from a low of 118 ml/d for Oman to a high of 710 ml/d for the US. The GHGE associated with these two recommendations were 0.17 and 1.10 kg CO 2 -eq/d, respectively. The GHGE associated with the protein food recommendations ranged from 0.03 kg CO 2 -eq/d in India  to 1.84 kg CO 2 -eq/d in the US, for recommended amounts of 75 g/d and 156 g/d, respectively. Overall, US recommendations had the highest carbon footprint at 3.83 kg CO 2 -eq/d, 4.5 times that of the recommended diet for India, which had the smallest footprint. After controlling for country-level consumption patterns by applying the US consumption pattern to all countries, US recommendations were still the highest, 19% and 47% higher than those of the Netherlands and Germany, respectively. Conclusions Despite our common human biology, FBDG vary tremendously from one country to the next, as do the associated carbon footprints of these guidelines. Understanding the carbon footprints of different recommendations can assist in future decision-making to incorporate environmental sustainability in dietary guidance.

Recent research on access to food among low-income populations in industrialised countries has begun to focus on neighbourhood food availability as a key determinant of dietary behaviour. This study examined the relationship between various measures of food store access and household fruit and vegetable use among participants in the Food Stamp Program, America's largest domestic food assistance programme. A secondary data analysis was conducted using the 1996-97 National Food Stamp Program Survey. The survey employed a 1-week food inventory method, including two at-home interviews, to determine household food use. Separate linear regression models were developed to analyse fruit and vegetable use. Independent variables included distance to store, travel time to store, ownership of a car and difficulty of supermarket access. All models controlled for a full set of socio-economic variables. A nationally representative sample of participants (n=963) in the Food Stamp Program. After controlling for confounding variables, easy access to supermarket shopping was associated with increased household use of fruits (84 grams per adult equivalent per day; 95% confidence interval 5, 162). Distance from home to food store was inversely associated with fruit use by households. Similar patterns were seen with vegetable use, though associations were not significant. Environmental factors are importantly related to dietary choice in a nationally representative sample of low-income households, reinforcing the importance of including such factors in interventions that seek to effect dietary improvements.

Background The Planetary Health Diet Index (PHDI) measures adherence to the dietary pattern presented by the EAT- Lancet Commission, which aligns health and sustainability targets. There is a need to understand how PHDI scores correlate with dietary greenhouse gas emissions (GHGE) and how this differs from the carbon footprints of scores on established dietary recommendations. The objectives of this study were to compare how the PHDI, Healthy Eating Index-2015 (HEI-2015) and Dietary Approaches to Stop Hypertension (DASH) relate to (a) dietary GHGE and (b) to examine the influence of PHDI food components on dietary GHGE. Methods We used life cycle assessment data from the Database of Food Recall Impacts on the Environment for Nutrition and Dietary Studies to calculate the mean dietary GHGE of 8,128 adult participants in the 2015–2016 and 2017–2018 cycles of the National Health and Nutrition Examination Survey (NHANES). Poisson regression was used to estimate the association of (a) quintiles of diet score and (b) standardized dietary index Z-scores with dietary GHGE for PHDI, HEI-2015, and DASH scores. In secondary analyses, we used Poisson regression to assess the influence of individual PHDI component scores on dietary GHGE. Results We found that higher dietary quality on all three indices was correlated with lower dietary GHGE. The magnitude of the dietary quality-dietary GHGE relationship was larger for PHDI [-0.4, 95% CI (-0.5, -0.3) kg CO 2 equivalents per one standard deviation change] and for DASH [-0.5, (-0.4, -0.6) kg CO 2 -equivalents] than for HEI-2015 [-0.2, (-0.2, -0.3) kg CO 2 -equivalents]. When examining PHDI component scores, we found that diet-related GHGE were driven largely by red and processed meat intake. Conclusions Improved dietary quality has the potential to lower the emissions impacts of US diets. Future efforts to promote healthy, sustainable diets could apply the recommendations of the established DASH guidelines as well as the new guidance provided by the PHDI to increase their environmental benefits.

The Planetary Health Diet Index (PHDI) measures adherence to the sustainable dietary guidance proposed by the EAT-Lancet Commission on Food, Planet, Health. To justify incorporating sustainable dietary guidance such as the PHDI in the US, the index needs to be compared to health-focused dietary recommendations already in use. The objectives of this study were to compare the how the Planetary Health Diet Index (PHDI), the Healthy Eating Index-2015 (HEI-2015) and Dietary Approaches to Stop Hypertension (DASH) relate to cardiometabolic risk factors. Participants from the National Health and Nutrition Examination Survey (2015-2018) were assigned a score for each dietary index. We examined disparities in dietary quality for each index. We used linear and logistic regression to assess the association of standardized dietary index values with waist circumference, blood pressure, HDL-C, fasting plasma glucose (FPG) and triglycerides (TG). We also dichotomized the cardiometabolic indicators using the cutoffs for the Metabolic Syndrome and used logistic regression to assess the relationship of the standardized dietary index values with binary cardiometabolic risk factors. We observed diet quality disparities for populations that were Black, Hispanic, low-income, and low-education. Higher diet quality was associated with improved continuous and binary cardiometabolic risk factors, although higher PHDI was not associated with high FPG and was the only index associated with lower TG. These patterns remained consistent in sensitivity analyses. Sustainability-focused dietary recommendations such as the PHDI have similar cross-sectional associations with cardiometabolic risk as HEI-2015 or DASH. Health-focused dietary guidelines such as the forthcoming 2025-2030 Dietary Guidelines for Americans can consider the environmental impact of diet and still promote cardiometabolic health.

Background Violent crime continues to be a public health issue in the U.S. Prior research has associated greater availability of certain food retailers (i.e., convenience stores, liquor stores, dollar stores) with higher violent crime rates at the community level. There is limited understanding of how these retailers, and others, are associated with violent crime across the spectrum of neighborhood socioeconomic status (SES). To further explore this topic, this ecological study examined associations between food retailer availability and violent crime rate in Chicago, IL by neighborhood SES. Methods Public data reflecting the residential census tracts ( N  = 798) of Chicago, IL in 2018 were obtained from the City of Chicago’s Data Portal and U.S. Census. Food availability measures reflected the number of outlets available per 1,000 residents. Violent crime rate reflected the total number of police-reported homicides, armed robberies, and aggravated assaults per 1,000 residents. Multivariable-adjusted spatial and OLS regression models were examined to identify associations between food retailer availability and violent crime rate by neighborhood SES. Results Spatial models indicated that an increase in food retailer availability was associated with an increase in violent crime rate. The magnitude of the increase varied by neighborhood SES for some retailers. Unlike middle-income (β: 1.30; SE: 0.42; p  = 0.002) and high-income tracts (β: 1.70; SE: 0.54; p  = 0.003), greater supermarket/large grocery store availability was not associated with higher violent crime rate among low-income tracts (β: 0.55; SE: 0.96; p  = 0.56). Also, greater dollar store availability was associated with higher violent crime rate among low-income tracts only (β: 2.46; SE: 0.81; p  = 0.002). Conclusions Food retailer availability is associated with violent crime rate in Chicago, and associations vary by neighborhood SES. Future studies on drivers of urban crime inequities should consider the composition of a community’s retail food environment.

Shifting consumer behavior towards more sustainable diets can benefit environmental sustainability and human health. Although more frequent home cooking is associated with a better diet quality and fast-food consumption with worse diet quality, the environmental impact of diets based on frequency of cooking or eating fast food is not well understood. The objective of this study was to investigate whether the frequency of cooking dinner at home or eating fast food is associated with dietary greenhouse gas emissions (GHGE). We linked 24-h dietary recall data from adult respondents in the 2007–2010 National Health and Nutrition Examination Survey (NHANES) (N = 11,469) to a database of GHGE factors to obtain a measure of dietary GHGE (kgCO2-eq/2000 kcal) (the sum of emissions released in the production of food for an individual’s diet), adjusted by energy intake (kgCO2-eq/2000 kcal). We examined associations between frequency of cooking dinner (the only meal for which cooking frequency was measured), frequency of eating fast food, and dietary GHGE and protein sources (beef, pork, poultry, other meat, and fish and seafood (g/2000 kcal)) using generalized linearized regression models that controlled for age, sex, and other socio-economic characteristics. Greater cooking frequency was associated with higher dietary GHGE. In fully adjusted models, cooking 5–6 times/week was associated with an additional 0.058 kgCO2-eq/2000 kcal (SE 0.033) and cooking 7 times/week was associated with an additional 0.057 kgCO2-eq/2000 kcal (SE 0.027) when compared to cooking 0–2 times/week. Individuals in households who cooked dinner more frequently consumed significantly more meat, poultry, and fish (cooking 7 times/week: 148.7 g/2000 kcal vs. cooking 0–2 times/week: 135.4 g/2000 kcal, p-trend = 0.005), which could explain the association with a higher carbon footprint diet. There were few associations of note between fast-food frequency and GHGE. Policies and interventions that reduce consumption of meat and increase consumption of plants when both cooking meals at home and eating meals out are needed to shift toward diets that will be beneficial for both human health and the health of the planet.

Background Restaurants, particularly independently-owned ones that serve immigrant communities, are important community institutions in the promotion of dietary health. Yet, these restaurants remain under-researched, preventing meaningful collaborations with the public health sector for healthier community food environments. This research aimed to examine levels of acceptability of healthy eating promotion strategies (HEPS) in independently-owned Latin American restaurants (LARs) and identify resource needs for implementing HEPS in LARs. Methods We completed semi-structured, online discussions with LAR owners and staff ( n  = 20), predominantly from New York City (NYC), to examine current engagement, acceptability, potential barriers, and resource needs for the implementation of HEPS. Verbatim transcripts were analyzed independently by two coders using Dedoose, applying sentiment weighting to denote levels of acceptability for identified HEPS (1 = low, 2 = medium/neutral, 3 = high). Content analysis was used to examine factors associated with HEPS levels of acceptability and resource needs, including the influence of the Coronavirus pandemic (COVID-19). Results The most acceptable HEPS was menu highlights of healthier items (mean rating = 2.8), followed by promotion of healthier items (mean rating = 2.7), increasing healthy offerings (mean rating = 2.6), nutrition information on the menu (mean rating = 2.3), and reduced portions (mean rating = 1.7). Acceptability was associated with factors related to perceived demand, revenue, and logistical constraints. COVID-19 had a mixed influence on HEPS engagement and acceptability. Identified resource needs to engage in HEPS included nutrition knowledge, additional expertise (e.g., design, social media, culinary skills), and assistance with food suppliers and other restaurant operational logistics. Respondents also identified potential policy incentives. Conclusions LARs can positively influence eating behaviors but doing so requires balancing public health goals and business profitability. LARs also faced various constraints that require different levels of assistance and resources, underscoring the need for innovative engagement approaches, including incentives, to promote these changes.

Food insecurity is a serious public health problem associated with poor cognitive and emotional development in children and with depression and poor health in adults. Despite sizable continued investments in federal food assistance, food insecurity still affects 11.1% of US households—almost the same rate as in 1995, when annual measurement began. As a fresh approach to solving the problem of food insecurity, we suggest adoption of a human rights framework. This approach could actively engage those affected and would ensure that food security monitoring would be compared to benchmarks in national action plans. We describe key elements of a right-to-food approach, review challenges to implementing it, and suggest actions to foster its adoption.

Dietary choices affect both health and the environment. Few studies, and none in the USA, have examined these links at the individual level, limiting our ability to describe the variation in response to environmentally focused food policies. To address this gap, our study aimed to examine the relation between healthiness and environmental effects of individual diets in the USA. We examined 24-h dietary recalls from a nationally representative sample of US adults (n=13 203), aged 18–65 years, in the 2005–10 National Health and Nutrition Examination Survey. We converted reported food intakes to commodities using resources from the US Environmental Protection Agency, and matched these to a database of greenhouse gas emissions (GHGE) in carbon dioxide equivalents, which we developed from a comprehensive review of life cycle assessment studies. In addition to calculation of the GHGE per 1000 kilocalories per day for each individual, we assessed the healthiness of their diets using the Healthy Eating Index (HEI), a 12-component score ranging from 0 to 100, developed by the US Department of Agriculture and the National Cancer Institute. GHGE from food were inversely related to the HEI; those in the lowest quintile of emissions had HEI scores 3·2 points higher (95% CI 2·0–4·4) than those in the highest quintile. On average, a 10% decrease in emissions was associated with a 0·4% (95% CI 0·2–0·6) increase in HEI. These results were similar after controlling for sex and ethnicity or when using a subsample of individuals describing their intake amount as usual. This is the first nationally representative dietary study of the environmental effects of US individuals. Because higher healthy eating scores were associated with lower greenhouse gas emissions in these self-selected diets, our results suggest that objectives to improve nutritional health and lower environmental effects in the USA are compatible. This also strengthens arguments to include sustainability considerations in dietary guidance policies. Wellcome Trust.