[Analysis of food carbon footprint and its socio-demographic disparities in China in 2018].

OBJECTIVE: To analyze food carbon footprint and its socio-demographic disparities among adults in China. METHODS: A total of 12 777 adults aged 18 years and above from the China Health and Nutrition Survey in 2018 who have completed dietary and socio-demographic data were analyzed. The information of food intake were collected by 24 h recalls combined with the weighing of household seasonings. Food consumption was converted into energy intake by the China Food Composition Table. Carbon footprint of 26 food groups were calculated by the food carbon footprint database based on life-cycle assessment(LCA), multinomial logit model was used to analyze the association of socio-demographic factors and food carbon footprint. RESULTS: Average food carbon footprint were decreased with increasing age while increased with increasing income and education levels, and was higher among male than that among female, was higher among urban residents than that among rural residents, was higher in the south than that in the north. Multinomial logit analysis showed that compared with people aged 18-44, the likelihood of occurring high carbon footprint in 60y and above group were 29%(OR=0.71, 95%CI 0.61-0.83) lower than that occurring low carbon footprint. Women were 11%(OR=0.89, 95%CI 0.81-0.99) and 25%(OR=0.75, 95%CI 0.67-0.84) less likely to appear medium and high carbon footprint than low carbon footprint, compared with their male counterparts. In comparison to people living in cities, rural dwellers were 24%(OR=0.76, 95%CI 0.69-0.85) and 38%(OR=0.62, 95%CI 0.55-0.70) less likely to appear medium and high carbon footprint than low carbon footprint. People in the south were 3.89 times(95%CI 3.52-4.30) and 11.35 times(95%CI 10.01-12.88) more likely to occur medium and high carbon footprint than low carbon footprint, compared with people in the north. Participants were more likely to occur medium carbon footprint and high carbon footprint with the increasing income level(OR>1), and were more likely to occur high carbon footprint with the increasing education level(OR>1). CONCLUSION: The food carbon footprint of adults in China in 2018 show different socio-demographic disparities, gender, income and education level are significant factors.

Share of food group expenditure in Mexican households according to the gender of the head of household and size of the locality.

OBJECTIVE: To evaluate differences in the percentage of expenditure on food groups in Mexican households according to the gender of the household head and the size of the locality. DESIGN: Analysis of secondary data from the National Household Income and Expenditure Survey (ENIGH) 2018. We estimated the percentage of expenditure on fifteen food groups according to the gender of the head of household and locality size and evaluated the differences using a two-part model approach. SETTING: Mexico, 2018. PARTICIPANTS: A nationally representative sample of 74 647 Mexican households. RESULTS: Female-headed households allocated a lower share of expenditure to the purchase of sweetened beverages and alcoholic beverages and higher percentages to milk and dairy, fruits and water. In comparison with metropolitan households, households in rural and urban localities spent more on cereals and tubers, sugar and honey, oil and fat and less on food away from home. CONCLUSIONS: Households allocate different percentages of expenditure to diverse food groups according to the gender of the head of the household and the size of the locality where they are located. Future research should focus on understanding the economic and social disparities related to differences in food expenditure, including the gender perspective.

Neighborhood Unsafety, Discrimination, and Food Insecurity among Nigerians Aged 15-49.

We investigated the association between discrimination, neighborhood unsafety, and household food insecurity (FI) among Nigerian adults, as well as the gender-specific differences in these associations. Our analysis utilized data from the 2021 Multiple Indicator Cluster Survey (MICS), comprising 56,146 Nigerian adults aged 15-49 (17,346 males and 38,800 females). For bivariate analysis, we employed the Rao-Scott chi-square test to examine the relationship between predictors (discrimination, neighborhood unsafety, and a composite variable of both) and the outcome variable (FI). Food insecurity was assessed using both a dichotomous measure (food insecure vs. food secure) and a multinomial variable (food secure, mild FI, moderate FI, and severe FI). To model the association between predictors and FI while controlling for potential confounding factors, we utilized weighted binary and multinomial logistic regression. Among Nigerian adults, the prevalence of having ever experienced FI was 86.1%, with the prevalence of mild FI, moderate FI, and severe FI being 11.5%, 30.1%, and 44.5%, respectively. In the binary model, experiencing discrimination (OR = 1.36, 95% CI = 1.19-1.55), living in an unsafe neighborhood (OR = 1.33, 95% CI = 1.14-1.54), and facing both discrimination and unsafe neighborhood conditions (OR = 1.97, 95% CI = 1.57-2.48) were significantly associated with FI. In the multinomial model, discrimination, neighborhood unsafety, and experiencing both remained associated with moderate and severe FI. In the gender-specific models, discrimination and neighborhood unsafety were found to be significantly associated with FI in women but not in men. This study underscores the importance of implementing policies and programs that address the underlying causes of food insecurity, with specific attention to discrimination and neighborhood safety concerns, particularly for Nigerian women.

Using household economic survey data to assess food expenditure patterns and trends in a high-income country with notable health inequities.

This study aimed to identify dietary trends in Aotearoa New Zealand (NZ) and whether inequities in dietary patterns are changing. We extracted data from the Household Economic Survey (HES), which was designed to provide information on impacts of policy-making in NZ, and performed descriptive analyses on food expenditures. Overall, total household food expenditure per capita increased by 0.38% annually over this period. Low-income households spent around three quarters of what high-income households spent on food per capita. High-income households experienced a greater increase in expenditure on nuts and seeds and a greater reduction in expenditure on processed meat. There was increased expenditure over time on fruit and vegetables nuts and seeds, and healthy foods in Maori (Indigenous) households with little variations in non-Maori households. But there was little change in processed meat expenditure for Maori households and expenditure on less healthy foods also increased over time. Routinely collected HES data were useful and cost-effective for understanding trends in food expenditure patterns to inform public health interventions, in the absence of nutrition survey data. Potentially positive expenditure trends for Maori were identified, however, food expenditure inequities in processed meat and less healthy foods by ethnicity and income continue to be substantial.

Impacts of the COVID-19 pandemic on food prices: Evidence from storable and perishable commodities in India.

The supply chain disruptions caused by the COVID-19 outbreak have led to changes in food prices globally. The impact of COVID-19 on the price of essential and perishable food items in developing and emerging economies has been lacking. Using a recent phone survey by the World Bank, this study examines the impact of the COVID-19 pandemic on the prices of the three essential food items in India. The results indicate that price of basic food items such as atta (wheat flour) and rice increased significantly during the pandemic compared to the pre-pandemic period. In contrast, during the same period, the price of onions declined significantly. The findings may suggest panic-buying, hoarding, and storability of food items. The results further reveal that remittance income and cash transfers from the government negatively affected commodity prices. Thus, this study's findings suggest that families may have shifted the demand away from essential foods during the pandemic.

How did Covid-19 impact US household foods? an analysis six months in.

Using a nationwide survey of primary grocery shoppers conducted in August 2020, we examine household food spending when the economy had partially reopened and consumers had different spending opportunities in comparison to when the Covid-19 lockdown began. We estimate the impact of Covid-19 on household spending using interval and Order Probit regressions. Income levels, age, access to grocery stores and farmers markets, household demographic information, along with other independent variables are controlled in the model. Findings show that middle-class households (with income below $50,000, or with income between $50,000 and $99,999) are less likely to increase their grocery expenditures during the pandemic. Households with children or elderlies that usually require higher food quality and nutrition intakes had a higher probability of increasing their spending during Covid-19 than before. Furthermore, consumers' spending behaviors were also significantly affected by their safe handing levels and the Covid-19 severity and food accessibility in their residences.

Food Waste and Its Association with Diet Quality of Foods Purchased in South Florida.

The objective of this study was to explore the associations between food waste and the diet quality of foods purchased and with grocery purchasing behaviors. This was a cross-sectional study among 109 primary household food providers conducting primary shopping. Participants were recruited outside of local grocery stores and were asked to complete a survey assessing amounts of avoidable food waste and grocery purchasing behaviors. The diet quality of the foods purchased was assessed from grocery receipts using the Grocery Purchase Quality Index-2016 (GPQI-2016). Variables were associated using linear regression, analysis of covariance, and point biserial correlations. We found that fresh fruits (63%) and leafy greens (70%) were the foods that were the most wasted. The GPQI-2016 total score was significantly inversely associated with the total amount of food wasted (ß = -0.63; 95% CI: -1.14,-0.12) after adjusting for important confounders. The reason "food past the date printed on the package" was directly correlated with food wasted (r = 0.40; p < 0.01) but inversely correlated with GPQI-2016 score (r = -0.21; p = 0.04). Food wasted, but not the GPQI-2016 score, was significantly higher among those who grocery shop 2-4 times per week compared to 1 time every 1-2 weeks (p = 0.02). In conclusion, food waste is inversely associated with diet quality and directly associated with grocery purchasing frequency.

Supply chain diversity buffers cities against food shocks.

Food supply shocks are increasing worldwide1,2, particularly the type of shock wherein food production or distribution loss in one location propagates through the food supply chain to other locations3,4. Analogous to biodiversity buffering ecosystems against external shocks5,6, ecological theory suggests that food supply chain diversity is crucial for managing the risk of food shock to human populations7,8. Here we show that boosting a city's food supply chain diversity increases the resistance of a city to food shocks of mild to moderate severity by up to 15 per cent. We develop an intensity-duration-frequency model linking food shock risk to supply chain diversity. The empirical-statistical model is based on annual food inflow observations from all metropolitan areas in the USA during the years 2012 to 2015, years when most of the country experienced moderate to severe droughts. The model explains a city's resistance to food shocks of a given frequency, intensity and duration as a monotonically declining function of the city's food inflow supply chain's Shannon diversity. This model is simple, operationally useful and addresses any kind of hazard. Using this method, cities can improve their resistance to food supply shocks with policies that increase the food supply chain's diversity.

The Effect of Religious Dietary Cultures on Food Nitrogen and Phosphorus Footprints: A Case Study of India.

The excessive consumption of nitrogen (N) and phosphorus (P), two vital nutrients for living organisms, is associated with negative environmental and health impacts. While food production contributes to a large amount of N and P loss to the environment, very little N and P is consumed as food. Food habits are affected by multiple regulations, including the dietary restrictions and dictates of various religions. In this study, religion-sensitive N-Calculator and P-Calculator approaches were used to determine the impact of religious dietary culture on the food N and P footprints of India in the major religious communities. Using 2013 data, the food N footprint of Hindus, Muslims, Christians, and Buddhists was 10.70, 11.45, 11.47, and 7.39 kg-N capita-1 year-1 (10.82 kg-N capita-1 year-1 was the national average), and the food P footprint was 1.46, 1.58, 1.04. and 1.58 kg-P capita-1 year-1 (1.48 kg-P capita-1 year-1 was the national average). The findings highlight the impact of individual choice on the N and P food footprints, and the importance of encouraging the followers of religion to follow a diet consistent with the food culture of that religion. The results of this study are a clear indication of the requirement for religion-sensitive analyses in the collecting of data pertinent to a particular country for use in making government policies designed to improve the recycling of food waste and the treatment of wastewater.

Availability and access to food in supermarkets before and during the Covid-19 pandemic in a mid-size city / Disponibilidade e preço de alimentos em supermercados antes e durante a pandemia de Covid-19 em uma cidade de médio porte

ABSTRACT Objective To investigate the availability and price of fresh and ultra-processed foods in supermarkets before and during the Covid-19 pandemic in a mid-size city in the Brazilian state of Minas Gerais. Methods Ecological and longitudinal study. A proportionate stratified random sampling method was applied to supermarkets in the municipality. To assess the availability, variety, and price of fresh and ultra-processed foods, we applied the Estudo do Ambiente Obesogênico em São Paulo (ESAO, Obesogenic Environment Study in São Paulo, Brazil) Food Store Observation Tool questionnaire and calculated the Healthy Food Store Index. The audits took place from December 2019 to January 2020, and we returned to the establishments in September 2020. Descriptive analyzes, McNemar tests, paired Student's T or Wilcoxon tests were performed using the SPSS software, version 20.0, with a 5% significance level. Results Ten supermarkets were evaluated. The prices of oranges (p=0.012), bananas (p=0.043), apples (p=0.004), and onions (p=0.004) were significantly increased during the time frame. Sugar-free soft drinks (p=0.044), powdered drinks (p=0.032), and corn snacks (p=0.015) showed a greater variety of brands and flavors during the pandemic. The Healthy Food Store Index score was 9.50±0.85 before the pandemic and 9.00±1.15 during it. Conclusion The prices of some fruits and vegetables increased, and supermarkets sold a greater variety of ultra-processed foods. Such findings highlight the importance of assessing the consequences of the Covid-19 pandemic on the food environment.

RESUMO Objetivo Investigar a disponibilidade e preço de alimentos in natura e ultraprocessados em supermercados no período anterior e durante a pandemia de Covid-19 em uma cidade de médio porte de Minas Gerais. Métodos Estudo ecológico e longitudinal. Realizou-se amostragem aleatória estratificada proporcional dos supermercados do município. Foi aplicado o questionário ESAO Food Store Observation Tool, o qual avalia a disponibilidade, variedade e preço de alimentos in natura e ultraprocessados, e calculou-se o índice Healthy Food Store Index. As auditorias ocorreram nos meses de dezembro de 2019 e janeiro de 2020 e retornou-se aos estabelecimentos em setembro de 2020. Foram realizados análises descritivas, testes de McNemar, T de Student pareado ou Wilcoxon utilizando-se o software SPSS, versão 20.0, com nível de significância de 5%. Resultados Foram avaliados dez supermercados. Os preços da laranja (p=0,012), banana (p=0,043), maçã (p=0,004) e cebola (p=0,004) apresentaram aumento significativo, e uma variedade maior de marcas e sabores de refrigerantes sem açúcar (p=0,044), refresco em pó (p=0,032) e salgadinhos de milho (p=0,015) foram encontradas durante a pandemia. A pontuação do índice Healthy Food Store Index antes da pandemia foi de 9,50 ± 0,85 e durante a pandemia foi de 9,00 ± 1,15. Conclusão Foram verificados aumentos nos preços de frutas e legumes e uma maior variedade de alimentos ultraprocessados disponíveis na auditoria feita durante a pandemia. Esses achados contribuem para salientar a importância da avaliação das consequências da pandemia de covid-19 no ambiente alimentar.

The Healthiness of Food and Beverages on Price Promotion at Promotional Displays: A Cross-Sectional Audit of Australian Supermarkets.

Supermarket environments can strongly influence purchasing decisions. Price promotions are recognised as a particularly persuasive tactic, but the healthiness of price promotions in prominent in-store locations is understudied. This study compared the prevalence and magnitude of price promotions on healthy and unhealthy food and beverages (foods) displayed at prominent in-store locations within Australian supermarkets, including analyses by supermarket group and area-level socio-economic position. A cross-sectional in-store audit of price promotions on foods at key display areas was undertaken in 104 randomly selected stores from major Australian supermarket groups (Woolworths, Coles, Aldi and independents) in Victoria, Australia. Of the display space dedicated to foods with price promotions, three of the four supermarket groups had a greater proportion of display space devoted to unhealthy (compared to healthy) foods at each promotional location measured (end of aisles: 66%; island bins: 53%; checkouts: 88%). Aldi offered very few price promotions. Few measures varied by area-level socio-economic position. This study demonstrated that price promotions at prominent in-store locations in Australian supermarkets favoured unhealthy foods. Marketing of this nature is likely to encourage the purchase of unhealthy foods, highlighting the need for retailers and policy-makers to consider addressing in-store pricing and placement strategies to encourage healthier food environments.

Assessing Diet Quality of Indigenous Food Systems in Three Geographically Distinct Solomon Islands Sites (Melanesia, Pacific Islands).

Indigenous Solomon Islanders, like many living in Pacific Small Island Developing States (PSIDS), are currently experiencing the global syndemic-the combined threat of obesity, undernutrition, and climate change. This mixed-method study aimed to assess nutrition transitions and diet quality by comparing three geographically unique rural and urban indigenous Solomon Islands populations. Participants in rural areas sourced more energy from wild and cultivated foods; consumed a wider diversity of foods; were more likely to meet WHO recommendations of >400g of non-starchy fruits and vegetables daily; were more physically active; and had significantly lower body fat, waist circumference, and body mass index (BMI) when compared to urban populations. Urban populations were found to have a reduced ability to self-cultivate agri-food products or collect wild foods, and therefore consumed more ultra-processed foods (classified as NOVA 4) and takeout foods, and overall had less diverse diets compared to rural populations. Clear opportunities to leverage traditional knowledge and improve the cultivation and consumption of underutilized species can assist in building more sustainable and resilient food systems while ensuring that indigenous knowledge and cultural preferences are respected.

The Affordability of a Thrifty Food Plan-based Market Basket in the United States-affiliated Pacific Region.

In an effort to characterize food costs in the United States (US)-affiliated Pacific Region, a first-time food cost survey was conducted in March 2014. A market basket survey was developed using an adaptation of the US Department of Agriculture Thrifty Food Plan. Surveys were conducted in the states of Alaska and Hawai'i; Portland, Oregon; the US-affiliated Pacific Islands of American Samoa (American Samoa); Commonwealth of the Northern Mariana Islands; the island of Pohnpei within the Federated States of Micronesia; Guam; Republic of the Marshall Islands; and Republic of Palau. Urban and rural communities were included. Multiple stores in multiple communities were surveyed in each jurisdiction. Food retailers (N = 74) ranged from convenience markets to supermarkets. Not all foods in the market basket survey were available in each of the communities. Inspection of available income data also showed that food costs represented a higher percentage of household income for American Samoa than those of Alaska, Hawai'i, and Portland. Thrifty Food Plan weighted weekly totals for the region ranged from $181.90 to $264.30. Weighting was based on the amount of the item converted to grams required for the Thrifty Food Plan menu. These food costs are significantly higher than those of Portland ($142.00) for the survey period. Protein foods, grains, vegetables, fruit, and dairy were the 5 most costly components, in descending order. Food affordability was assessed by comparing food costs across jurisdictions and examining estimated food costs to reported average jurisdiction incomes. The survey is intended to help inform public health policy and educational programs in the region. A locally adapted food survey would benefit future analyses, regional policy, and educational efforts.

A tale of two cities: the cost, price-differential and affordability of current and healthy diets in Sydney and Canberra, Australia.

BACKGROUND: The perception that healthy foods are more expensive than unhealthy foods has been reported widely to be a key barrier to healthy eating. However, assessment of the relative cost of healthy and unhealthy foods and diets is fraught methodologically. Standardised approaches to produce reliable data on the cost of total diets and different dietary patterns, rather than selected foods, are lacking globally to inform policy and practice. METHODS: This paper reports the first application, in randomly selected statistical areas stratified by socio-economic status in two Australian cities, of the Healthy Diets Australian Standardized Affordability and Pricing (ASAP) method protocols: diet pricing tools based on national nutrition survey data and dietary guidelines; store sampling and location; determination of household incomes; food price data collection; and analysis and reporting. The methods were developed by the International Network on Food and Obesity/NCD Research, Monitoring and Action Support (INFORMAS) as a prototype of an optimum approach to assess, compare and monitor the cost and affordability of diets across different geographical and socio-economic settings and times. RESULTS: Under current tax policy in Australia, healthy diets would be 15-17% less expensive than current (unhealthy) diets in all locations assessed. Nevertheless, healthy diets are likely to be unaffordable for low income households, costing more than 30% of disposable income in both cities surveyed. Households spent around 58% of their food budget on unhealthy food and drinks. Food costs were on average 4% higher in Canberra than Sydney, and tended to be higher in high socioeconomic locations. CONCLUSIONS: Health and fiscal policy actions to increase affordability of healthy diets for low income households are required urgently. Also, there is a need to counter perceptions that current, unhealthy diets must be less expensive than healthy diets. The Healthy Diets ASAP methods could be adapted to assess the cost and affordability of healthy and unhealthy diets elsewhere.

Food advertisements on television and eating habits in adolescents: a school-based study.

OBJECTIVE To analyze the association of television food advertisements with eating habits in Brazilian adolescents. METHODS The sample was composed of 1,011 adolescents, aged from 10-17 years. The influence of television food advertisements on eating habits, as well as food consumption and socioeconomic variables were assessed through questionnaires. A binary logistic regression was performed to assess the magnitude of the associations, adjusted for gender, age, socioeconomic status, and parental schooling. RESULTS Of the sample, 83.3% (n = 843) reported food consumption while watching TV. Adolescents who do not consume food while watching TV had a higher weekly consumption of fruits (3.98, SD = 2.0 versus 3.39, SD = 2.1) and vegetables (4.1, SD = 2.2 versus 3.4, SD = 2.3). Adolescents that consume food while watching TV had higher weekly consumption of fried foods (3.1, SD = 2.0 versus 2.3, SD = 1.7), sweets (4.1, SD = 2.1 versus 3.3, SD = 2.1), soft drinks (3.2, SD = 2.1 versus 2.2, SD = 1.9), and snacks (2.3, SD = 2.0 versus 1.6, SD = 1.7). For 73,8% of the sample, food advertisements induce product consumerism, most commonly sweets and fast foods. Buying or asking to buy food after seeing it on the television was associated with fried foods (OR = 1.36, 95%CI = 1.03- 1.79), sweets (OR = 1.69, 95%CI = 1.30-2.18), and snacks (OR = 1.57, 95%CI = 1.12-2.22). CONCLUSION Food advertisements were associated with greater consumption of fried foods, sweets, and snacks in adolescents, even after adjusting for confounding factors.

A review of the uses and reliability of food balance sheets in health research.

CONTEXT: Food Balance Sheets (FBSs) are constructed by the Food and Agricultural Organization (FAO) and portray the food supply and utilization pattern of a country over time. OBJECTIVE: To examine and analyse the uses of FAO-FBS data in international studies of health and nutrition, and to identify the reported strengths, limitations and reliability of FBS. DATA SOURCES: PubMed, SCOPUS, EMBASE, Food Science and Technology Abstracts (FSTA) and Google Scholar. DATA EXTRACTION: Data extracted were author, year of publication, country/countries of the study, aim, study design, analysis, data collected, data sources and outcomes. Additional relevant information (e.g. strengths and limitations of the FBS), were also included. The bibliographies of all included studies were further searched, and any potentially relevant studies retrieved and assessed. DATA ANALYSIS: 119 eligible studies (all study designs) published from the earliest available to the end of April, 2016 were collated into five categories of use: within-country analysis of food availability, nutrient availability and/or dietary trends (n = 17); inter-country, regional or global comparison of food groups, nutrient availability and/or dietary trends (n = 45); comparison of FBS with other national sources of dietary data (n = 7); association between FBS dietary factors and mortality or health outcomes (n = 45); and modelling studies (n = 5). CONCLUSION: Studies indicate that FBS are useful for international comparison and analysis of trends over time, as they are standardized and updated regularly. FBS data are more reliable when averaged over several years; when results are reported as nutrient densities, trends, and percentage of energy or ratios, rather than absolute values. Also, users should be aware that the quality of FBS data depends on the reliability of national input data. The FBS is a vital source of global food composition data and is valuable for epidemiological studies when reported and analysed appropriately.

Daily cost of consumer food wasted, inedible, and consumed in the United States, 2001-2016.

BACKGROUND: Consumer food waste in the United States represents substantial amounts of wasted nutrients, as well as needless environmental impact from wasted agricultural inputs, energy use, and greenhouse gas emissions. Efforts to reduce food waste at the consumer level are urgently needed to address the most prominent nutrition and environmental sustainability issues we now face. Importantly, individuals report that saving money is a salient motivator for reducing food waste, yet contemporary evidence on the consumer cost of wasted food is lacking. The objectives of this study are to 1) estimate the daily per capita cost of food wasted, inedible, and consumed 2) at home and away from home, and 3) by food group. METHODS: This study utilizes cross-sectional, nationally-representative data on food intake from the National Health and Nutrition Examination Survey (2001-2016), linked with nationally representative data on food waste from published literature, as well as data on food prices and food price inflation from multiple publicly-available sources. Survey-weighted procedures estimated daily per capita expenditure on food waste for 39,758 adults aged ≥20 y. RESULTS: Total daily per capita food expenditure was $13.27, representing 27% wasted, 14% inedible, and 59% consumed. The greatest daily food waste expenditures were observed for meat and seafood purchased for consumption outside of the home ($0.94, 95% CI: $0.90-0.99), and fruits and vegetables purchased for consumption in the home ($0.68, $0.63-0.73). CONCLUSIONS: The most cost-effective ways to reduce food waste at the consumer level are to focus waste reduction efforts on meat and seafood purchased for consumption outside of the home and fruits and vegetables purchased for consumption in the home. A number of strategies are available to help consumers reduce their food waste, which can increase their financial flexibility to purchase more healthy foods while simultaneously reducing environmental impact.

Child Care Sites Participating in the Federal Child and Adult Care Food Program Provide More Nutritious Foods and Beverages.

OBJECTIVE: To compare food/beverage provisions between child care sites participating and not participating in the Child and Adult Care Food Program (CACFP). DESIGN: Cross-sectional survey administered in 2016. SETTING: Licensed child care centers and homes. PARTICIPANTS: Child care providers (n = 2,400) randomly selected from California databases (30% responded). Respondents (n = 680) were primarily site directors (89%) at child care centers (83%) participating in CACFP (70%). MAIN OUTCOME MEASURES: Meals/snacks served, and food/beverage provisions provided to children of age 1-5 years on the day before the survey. ANALYSIS: Odds ratios unadjusted and adjusted for the number of meals/snacks using logistic regression. RESULTS: Compared with CACFP sites, non-CACFP sites provided fewer meals/snacks; had lower odds of providing vegetables, meats/poultry/fish, eggs, whole grains, and milk; and had higher odds of providing candy, salty snacks, and sugary drinks. After adjusting for the number of meals/snacks, differences were attenuated but remained significant for meats/poultry/fish, milk, candy, salty snacks (centers only), and sugary drinks. Differences emerged in favor of CACFP for flavored/sugar-added yogurt, sweet cereals, frozen treats, and white grains. CONCLUSIONS AND IMPLICATIONS: Child care sites participating in CACFP are more likely to provide nutritious foods/beverages compared with non-CACFP sites. Child care sites are encouraged to participate in or follow CACFP program guidelines.