Who chooses "healthy" meals? An analysis of lunchtime meal quality in a workplace cafeteria.

BACKGROUND: The workplace can play an important role in shaping the eating behaviors of U.S. adults. Unfortunately, foods obtained in the workplace tend to be low in nutritional quality. Questions remain about the best way to approach the promotion of healthy food purchases among employees and to what extent health promotion activities should be tailored to the demographic characteristics of the employees. The purpose of this study was to (1) assess the nutritional quality of lunchtime meal purchases by employees in cafeterias of a large organization, (2) examine associations between lunchtime meal quality selection and the demographic characteristics of employees, and (3) determine the healthfulness of foods and beverages offered in the cafeterias of this organization. METHODS: A cross-sectional analysis was conducted using secondary data from a food labeling study implemented in three worksite cafeterias. Demographic data was collected via surveys and meal data was collected using a photo capture system for 378 participants. The Healthy Eating Index 2015 (HEI-2015) was used to determine meal quality and a total score for the menu of options available in the cafeterias during the study period. Summary statistics were generated, and the analysis of variance (ANOVA) was used to compare the HEI-2015 scores between groups. RESULTS: The mean HEI-2015 total score for the menu items offered (n = 1,229) in the cafeteria during the study period was 63.1 (SD = 1.83). The mean HEI-2015 score for individual lunchtime meal observations (n = 378) was 47.1 (SD = 6.8). In general, HEI-2015 total scores were higher for non-smokers, individuals who self-identified as Asian, had higher physical activity levels, scored higher on numeracy and literacy assessments, and reported higher education levels, incomes, and health status. CONCLUSIONS: The overall HEI-2015 scores indicate that the menu of options offered in the cafeterias and individual meal selections did not align with the Dietary Guidelines for Americans, and there were significant associations between average lunchtime meal quality scores and several demographic characteristics. These results suggest that healthy eating promotion activities in workplaces may need to be tailored to the demographic characteristics of the employees, and efforts to improve the food environment in the workplace could improve meal quality for all employees.

Healthy food delivery for type 2 diabetes management in rural clinics' patients: A comparative effectiveness randomized controlled trial protocol.

BACKGROUND: Rural populations experience a higher prevalence of both food insecurity and type 2 diabetes mellitus (T2DM) than metropolitan populations and face many challenges in accessing resources essential to optimal T2DM self-management. This study aims to address these challenges by delivering a T2DM-appropriate food box and recipes directly to rural participants' homes. METHODS: This is a comparative effectiveness randomized controlled trial including 400 English- or Spanish-speaking rural adult participants with T2DM (HbA1c ≥6.5%) experiencing food insecurity. Participants are randomly assigned to a 3-month Healthy Food Delivery Intervention (HFDI) plus one 60-min virtual consultation with a diabetes educator or consultation only. The HFDI includes a weekly food box delivery with recipes. Data are collected at pre-intervention, 3-months (post-intervention), 9-months, and 15-months. The primary outcome is change in HbA1c, with secondary measures including diet quality (Healthy Eating Index-2015, calculated from one 24-h dietary recall at each data collection time point), cardio-metabolic risk factors (i.e., blood pressure, lipids, body mass index, glucose), and patient-centered outcomes (e.g., T2DM self-efficacy, T2DM-related distress). Process evaluation data (e.g., successful food box deliveries, diabetes educator consultation attendance, intervention satisfaction) are collected during and post-intervention (3-months). A cost-effectiveness analysis based on traditional cost per quality-adjusted life year gain thresholds will be conducted to estimate the incremental cost-effectiveness between HFDI plus consultation and consultation alone. CONCLUSION: Findings from this study will provide evidence regarding the effectiveness of an intervention that promotes participant adherence and improves access to healthy food. CLINICAL TRIAL REGISTRATION: NCT04876053.

Using implementation mapping to refine strategies to improve implementation of an evidence-based mobile market intervention: a study protocol.

Objectives: The Veggie Van model is a mobile market model that is efficacious in increasing fruit and vegetable consumption for lower-income participants. The model is currently being evaluated for its effectiveness in a multi-state trial. Preliminary implementation data, collected through process measures surveys and implementation interviews, indicate that there are several barriers to implementation among partner organizations and implementation fidelity to the Veggie Van model was low. Consideration and planning for implementation ought to occur early and often throughout the research process order to ensure Veggie Van model effectiveness. This paper describes the step-by-step process for creating strategies to enhance implementation of Veggie Van model components. Methods: Implementation mapping is a systematic process to develop implementation strategies through engagement with key stakeholders. We conducted a series of interviews (n = 31 representatives) with partner organizations (n = 8) to identify facilitators and barriers to Veggie Van model implementation. We then applied interview findings to an Implementation Mapping process to develop theory and practice-driven strategies to be integrated into existing implementation tools and technical assistance. Results: We identified implementation outcomes (e.g., staff implement the Veggie Van model component of nutrition education with fidelity) and performance objectives (e.g., offer nutrition education, in the form of food lessons and/or food demonstrations, at least bi-weekly) to achieve them. We conducted a secondary qualitative analysis of the findings from implementation interviews with partner organizations to identify behavioral determinants (e.g., attitudinal beliefs, social support) which were combined with the performance objectives to generate change objectives (e.g., view the Veggie Van model as advantageous to an organization and communities served). To achieve the change objectives, we developed implementation strategies that would be integrated into existing Veggie Van training resources including an online toolkit, webinars and trainings, an annual mobile market conference, and technical assistance. Conclusion: The development of theory and practice-driven implementation strategies will enable us to improve our implementation tools, thereby improving fidelity to the Veggie Van model among organizations and increasing the likelihood of its effectiveness. Detailing the design of a multifaceted implementation strategy using Implementation Mapping also provides a model to design similar strategies for other community-based interventions.

An Exploratory Study of the Perceived Need for and Acceptability of a Healthy Frozen Meal Product Among Rural Corner Store Customers in North Carolina.

This pilot study assesses barriers to obtaining healthy affordable food and the early-stage acceptability of a novel subsidized healthy frozen meal product designed to address food insecurity and nutritional status among corner store customers in rural North Carolina. A convenience sample of 50 customers were surveyed to examine the perceived availability of healthy food options, barriers to maintaining healthy diets, food shopping and consumption habits, and reception of the product. Findings confirmed barriers to obtaining healthy foods that the product seeks to address, the validity of corner stores as the intervention site, and approval of the product's taste and concept.

State Supplemental Nutrition Assistance Program Policies and Substance Use Rates.

INTRODUCTION: Food insecurity is associated with the development of substance misuse and use disorders (SUD). This study sought to estimate associations between state Supplemental Nutrition Assistance Program (SNAP) eligibility policies and substance-related outcomes. METHODS: 2014-2017 SNAP Policy Database and 2015-2019 National Survey on Drug Use and Health state-level estimates were used to estimate associations between state SNAP eligibility policies and alcohol use disorder (AUD), opioid misuse, illicit drug use disorder (IDUD), SUD, and needing but not receiving SUD treatment. State SNAP policies included those that (1) do not disqualify individuals with a felony drug conviction from SNAP and/or (2) expand SNAP eligibility by increasing the income limit or removing the asset test. Analyses were conducted January-May 2023. RESULTS: States that adopted both SNAP eligibility policies had reduced rates of AUD (adjusted rate ratio (aRR): 0.92; 95% CI 0.86, 0.99), opioid misuse (aRR: 0.94; 95% CI 0.89, 0.98), IDUD (aRR: 0.91; 95% CI 0.85, 0.98), SUD (aRR: 0.91; 95% CI 0.85, 0.97), and needing but not receiving SUD treatment (aRR: 0.92; 95% CI 0.87, 0.98) compared to states with neither policy. Among states that did not adopt increases to the income limit or removal of the asset test, those that removed the felony drug disqualification had lower rates of IDUD, SUD, and needing but not receiving SUD treatment, compared to those that maintained a disqualification. CONCLUSIONS: Expanded SNAP eligibility could help reduce rates of substance misuse and SUD. Opting out of the federal disqualification on SNAP participation for those with felony drug convictions may be particularly beneficial.

Rural African American Women With Severe Obesity: A Cross-Sectional Analysis of Lifestyle Behaviors and Psychosocial Characteristics.

PURPOSE: To examine differences in lifestyle behavioral and psychosocial factors between rural African American women with Class 3 obesity and those with overweight, and Class 1-2 obesity. DESIGN: Cross-sectional study. SETTING: Rural Southeastern United States. SUBJECTS: Participants included 289 African American women with a mean age of 56 years, 66% with a high school education or less, and a mean body mass index (BMI) of 38.6 kg/m2; 35% (n = 102) were classified with Class 3 obesity. MEASURES: We objectively measured height, weight, and physical activity steps/day. Self-reported dietary and physical activity behaviors, general health-related quality of life, mental health, and social support were measured with validated surveys. ANALYSIS: Chi-Square analysis for categorical variables and analysis of variance (ANOVA) - via multiple linear regression - for continuous variables. RESULTS: There were no significant demographic differences between BMI groups, except for age, where women with Class 3 obesity were on average younger (51 vs 58 y, P < .001). Although dietary behaviors did not differ significantly between groups, we observed significant group differences in self-reported and objective measures of physical activity. The age-adjusted difference in means for self-reported total physical activity minutes/wk. was 91 minutes, with women categorized with Class 3 obesity reporting significantly fewer weekly minutes than those with overweight/Class 1-2 obesity (64.3 vs 156.4 min/wk. respectively, P < .01). Among psychosocial variables, only in the physical component scores of health-related quality of life did we find significant group differences - lower physical well-being among women with Class 3 obesity compared to those with overweight/Class 1-2 obesity (P = .02). CONCLUSION: For African American women with Class 3 obesity living in rural setting, these findings suggest behavioral weight loss interventions may need to target physical activity strategies that address physical, psychosocial, and environmental barriers.

Cost analysis and cost effectiveness of a subsidized community supported agriculture intervention for low-income families.

BACKGROUND: The food system has a dynamic influence on disparities in food security and diet-related chronic disease. Community supported agriculture (CSA) programs, in which households receive weekly shares of produce from a local farmer during the growing season, have been examined as a possible food systems-based approach for improving diet and health outcomes. The purpose of this study was to estimate the cost of implementing and participating in a multi-component subsidized community supported agriculture intervention and calculate cost-effectiveness based on diet and food security impacts. METHODS: Using data from the Farm Fresh Foods for Healthy Kids (F3HK) randomized controlled trial in New York, North Carolina, Vermont, and Washington (n = 305; 2016-2018), we estimated programmatic and participant costs and calculated incremental cost-effectiveness ratios (ICERs) for caregivers' daily fruit and vegetable (FV) intake, skin carotenoids, and household food security from program and societal perspectives. RESULTS: F3HK cost $2,439 per household annually ($1,884 in implementation-related expenses and $555 in participant-incurred costs). ICERs ranged from $1,507 to $2,439 per cup increase in caregiver's FV intake (depending on perspective, setting, and inclusion of juice); from $502 to $739 per one thousand unit increase in skin carotenoid score; and from $2,271 to $3,137 per household shifted out of food insecurity. CONCLUSIONS: Given the known public health, healthcare, and economic consequences of insufficient FV intake and living in a food insecure household, the costs incurred to support these positive shifts in individual- and household-level outcomes via a F3HK-like intervention may be deemed by stakeholders as a reasonable investment. This work helps to advance a critical body of literature on the cost-effectiveness of subsidized CSAs and other economic and food system interventions for the sake of evidence-based allocation of public health resources. TRIAL REGISTRATION: ClinicalTrials.gov. NCT02770196. Registered 5 April 2016. Retrospectively registered. https://www. CLINICALTRIALS: gov/ct2/show/NCT02770196 .

Fruit and Vegetable Preparation Changes During and After Cost-Offset Community-Supported Agriculture Plus Nutrition Education.

OBJECTIVE: Inadequate consumption of fruits and vegetables (FV) can negatively impact health. Cost-offset, or subsidized, community-supported agriculture (CO-CSA) may change FV preparation behaviors among caregivers in low-income households. We assessed changes in FV preparation frequency and methods during and after participation in a CO-CSA plus tailored nutrition education intervention. DESIGN: Longitudinal comparison of outcomes at baseline, end of CO-CSA season, and 1 year later. PARTICIPANTS: Caregivers of children aged 2-12 years from households with low income in rural areas of 4 US states (n = 148). INTERVENTION: Summer season, half-price CO-CSA share plus tailored nutrition education classes. Comparison to a control group not included in this analysis. VARIABLES MEASURED: Monthly frequency of preparing 9 FV for children's snacks and 5 vegetables for dinner; use of healthy preparation methods for dinner. ANALYSIS: Repeated measures ANCOVA including state with Bonferroni correction and 95% confidence. RESULTS: At baseline, caregivers prepared fruit for children's snacks and vegetables for dinner almost daily and vegetables for children's snacks every other day. The frequency of total FV preparation and most vegetable varieties increased during the intervention. Increases in total vegetables for snacks, dinner, and leafy greens were maintained 1 year later (n = 107). CONCLUSIONS AND IMPLICATIONS: Community-supported agriculture plus education is a promising approach to sustained increases in vegetable preparation for children's snacks and dinner meals.

Association of State Expansion of Supplemental Nutrition Assistance Program Eligibility With Rates of Child Protective Services-Investigated Reports.

Importance: States in the US have the option to eliminate the asset test and/or increase the income limit for Supplemental Nutrition Assistance Program (SNAP) eligibility under a policy called broad-based categorical eligibility (BBCE). Given associations of economic hardships, including food insecurity, with child protective services (CPS) involvement, state adoption of these policies may be associated with changes in rates of CPS-investigated reports. Objective: To examine the association of state elimination of the asset test and increases in the income limit for SNAP eligibility under BBCE with rates of CPS-investigated reports. Design, Setting, and Participants: This cross-sectional ecologic study used data from 2006 to 2019 obtained from the SNAP Policy Database and the National Child Abuse and Neglect Data System Child Files and difference-in-differences analyses. The data were analyzed from March to September 2022. The study used CPS-investigated reports for suspected child abuse and neglect from 37 US states to examine elimination of the asset test, from 36 states to examine increases in the income limit, and from 26 states to examine adoption of both policies. Exposures: State elimination of the asset test, increases in the income limit, and adoption of both policies to expand SNAP eligibility. Main Outcomes and Measures: Number of CPS-investigated reports, overall and specifically for neglect and physical abuse, per 1000 child population. Results: From 2006 to 2019 for all 50 states and the District of Columbia, there were a total of 29 213 245 CPS-investigated reports. By race and ethnicity, 19.8% of CPS-investigated reports were among non-Hispanic Black children and 45.7% among non-Hispanic White children (hereafter referred to as Black and White children). On average, there were 8.2 fewer CPS-investigated reports (95% CI, -12.6 to -4.0) per 1000 child population per year in states that eliminated the asset test, 5.0 fewer CPS-investigated reports (95% CI, -10.8 to 0.7) per 1000 child population per year in states that increased the income limit, and 9.3 fewer CPS-investigated reports (95% CI, -15.6 to -3.1) per 1000 child population per year in states that adopted both SNAP policies than there would have been if these states had not adopted these policies. There were decreases in CPS-investigated reports for neglect in states that adopted either or both policies, and small decreases in CPS-investigated reports for physical abuse in states that increased the income limit or adopted both policies. There were decreases in CPS-investigated reports among both Black and White children. For example, there were 6.5 fewer CPS-investigated reports among Black children (95% CI, -14.6 to 1.6) and 8.7 fewer CPS-investigated reports among White children (95% CI, -15.8 to -1.6) in states that adopted both SNAP policies than there would have been if these states had not adopted these policies. Conclusions and Relevance: Results from this cross-sectional study suggest that state expansion of SNAP eligibility through elimination of the asset test and increases in the income limit may contribute to decreases in rates of CPS-investigated reports. These results can inform ongoing debates regarding SNAP policy options, specifically BBCE, and prevention efforts for child abuse and neglect.

Food Vendors and the Obesogenic Food Environment of an Informal Settlement in Nairobi, Kenya: a Descriptive and Spatial Analysis.

Food environments of urban informal settlements are likely drivers of dietary intake among residents of such settlements. Yet, few attempts have been made to describe them. The objective of this study was to characterize the food environment of a densely-populated informal settlement in Nairobi, Kenya according to the obesogenic properties and spatial distribution of its food vendors. In July-August 2019, we identified food vendors in the settlement and classified them into obesogenic risk categories based on the types of food that they sold. We calculated descriptive statistics and assessed clustering according to obesogenic risk using Ripley's K function. Foods most commonly sold among the 456 vendors in the analytic sample were sweets/confectionary (29% of vendors), raw vegetables (28%), fried starches (23%), and fruits (21%). Forty-four percent of vendors were classified as low-risk, protective; 34% as high-risk, non-protective; 16% as low-risk, non-protective; and 6% as high-risk, protective. The mean distance (95% confidence interval) to the nearest vendor of the same obesogenic risk category was 26 m (21, 31) for vendors in the low-risk, protective group; 29 m (25, 33) in the high-risk, non-protective group; 114 m (88, 139) in the high-risk, protective group; and 43 m (30, 56) in the low-risk, non-protective group. Clustering was significant for all obesogenic risk groups except for the high-risk, protective. Our findings indicate a duality of obesogenic and anti-obesogenic foods in this environment. Clustering of obesogenic foods highlights the need for local officials to take action to increase access to health-promoting foods throughout informal settlements.

How Physicians Can Assess and Address Dietary Behaviors to Reduce Chronic Disease Risk.

With the growing burden of diet-related chronic disease impacting the public's health, nutrition counseling in a primary care setting is essential and can be accomplished through brief and creative approaches. This article reviews an example of a brief dietary assessment and counseling tool and counseling strategies focusing on dietary behavior changes that emphasize impact on health outcomes, ease of behavior change, and affordability. These, plus integrating office supports, are practical ways to start the conversation about improving diet quality with patients. Collaborative efforts in nutrition care, particularly through collaboration with registered dietitians, present a valuable opportunity to meet the nutrition care needs of patients. Additionally, this article reviews screening for eating disorders, food insecurity, and dietary supplement use.

"Let's Use This Mess to Our Advantage": Calls to Action to Optimize School Nutrition Program beyond the Pandemic.

School nutrition programs mitigate food insecurity and promote healthy eating by offering consistent, nutritious meals to school-aged children in communities across the United States; however, stringent policy guidelines and contextual challenges often limit participation. During COVID-19 school closures, most school nutrition programs remained operational, adapting quickly and innovating to maximize reach. This study describes semi-structured interviews with 23 nutrition directors in North Carolina, which aimed to identify multi-level contextual factors that influenced implementation, as well as ways in which the innovations during COVID-19 could translate to permanent policy and practice change and improve program reach. Interviews were conducted during initial school closures (May-August 2020) and were deductively analyzed using the Social Ecological Model (SEM) and Consolidated Framework for Implementation Research (CFIR). Analysis elicited multiple relevant contextual factors: director characteristics (motivation, leadership style, experience), key implementation stakeholders (internal staff and external partners), inner setting (implementation climate, local leadership engagement, available resources, structural characteristics), and outer setting (state leadership engagement, external policies and incentives). Findings confirm the strength and resilience of program directors and staff, the importance of developing strategies to strengthen external partnerships and emergency preparedness, and strong support from directors for policies offering free meals to all children.

EatWellNow: Formative Development of a Place-Based Behavioral "Nudge" Technology Intervention to Promote Healthier Food Purchases among Army Soldiers.

Approximately 17% of military service members are obese. Research involving army soldiers suggests a lack of awareness of healthy foods on post. Innovative approaches are needed to change interactions with the military food environment. Two complementary technological methods to raise awareness are geofencing (deliver banner ads with website links) and Bluetooth beacons (real-time geotargeted messages to mobile phones that enter a designated space). There is little published literature regarding the feasibility of this approach to promote healthy behaviors in retail food environments. Thus, we conducted a formative feasibility study of a military post to understand the development, interest in, and implementation of EatWellNow, a multi-layered interactive food environment approach using contextual messaging to improve food purchasing decisions within the military food environment. We measured success based on outcomes of a formative evaluation, including process, resources, management, and scientific assessment. We also report data on interest in the approach from a Fort Bragg community health assessment survey (n = 3281). Most respondents agreed that they were interested in receiving push notifications on their phone about healthy options on post (64.5%) and that receiving these messages would help them eat healthier (68.3%). EatWellNow was successfully developed through cross-sector collaboration and was well received in this military environment, suggesting feasibility in this setting. Future work should examine the impact of EatWellNow on military service food purchases and dietary behaviors.

Participation in Cost-offset Community Supported Agriculture by Low-income Households in the U.S. is Associated with Community Characteristics and Operational Practices.

OBJECTIVE: Subsidized or cost-offset community supported agriculture (CO-CSA) connects farms directly to low-income households and can improve fruit and vegetable intake. This analysis identifies factors associated with participation in CO-CSA. DESIGN: Farm Fresh Foods for Healthy Kids (F3HK) provided a half-price, summer CO-CSA plus healthy eating classes to low-income households with children. Community characteristics (population, socio-demographics, health statistics) and CO-CSA operational practices (share sizes, pick-up sites, payment options, produce selection) are described and associations with participation levels examined. SETTING: Ten communities in New York (NY), North Carolina (NC), Vermont, and Washington states in USA. PARTICIPANTS: Caregiver-child dyads enrolled in spring 2016 or 2017. RESULTS: Residents of micropolitan communities had more education and less poverty than in small towns. The one rural location (NC2) had the fewest college graduates (10%) and most poverty (23%), and poor health statistics. Most F3HK participants were white, except in NC where 45.2% were African American. CO-CSA participation varied significantly across communities from 33% (NC2) to 89% (NY1) of weeks picked-up. Most CO-CSAs offered multiple share sizes (69.2%) and participation was higher than when not offered (76.8% vs. 57.7% of weeks); whereas 53.8% offered a community pick-up location, and participation in these communities was lower than elsewhere (64.7% vs. 78.2% of weeks). CONCLUSION: CO-CSAs should consider offering choice of share size and innovate to address potential barriers such as rural location and limited education and income among residents. Future research is needed to better understand barriers to participation, particularly among participants utilizing community pick-up locations.

Associations between a Universal Free Breakfast Policy and School Breakfast Program Participation, School Attendance, and Weight Status: A District-Wide Analysis.

Breakfast consumption among youth is associated with improved diet quality, weight, cognition, and behavior. However, not all youth in the United States consume breakfast. Participation in the School Breakfast Program (SBP) is also low relative to the lunch program. Universal free breakfast (UFB) policies have been implemented to increase breakfast participation by reducing cost and stigma associated with the SBP. This study examined whether a UFB policy implemented in a school district in the Southeast US was associated with changes in breakfast participation, school attendance, and student weight. A longitudinal study of secondary data was conducted, and a mixed modeling approach was used to assess patterns of change in SBP participation. General linear models were used to assess attendance and student weight change. On average, across schools in the district, there was an increase in breakfast participation of 4.1 percentage points following the implementation of the policy. The change in breakfast participation in schools differed by the percent of students in the school who received school meals for free or at a reduced price, the percent of students of color, and the grade level of the school. Increases in SBP participation were not associated with significant changes in attendance or weight. UFB policies may be effective in increasing participation in the SBP.

Operational challenges that may affect implementation of evidence-based mobile market interventions.

INTRODUCTION: Mobile produce markets are becoming an increasingly prevalent, accepted, and effective strategy for improving fruit and vegetable (F&V) access and consumption across underserved and lower-income communities. However, there is limited published research on mobile market operations. The goal of this research is to identify the challenges mobile markets face and ways to potentially mitigate those challenges. We will also discuss implications of our findings for future implementation of evidence-based food access interventions. METHODS: We conducted 21 semi-structured key informant (KI) interviews to assess common practices of mobile market organizations that had been operating for 2 + years. We asked KIs about their organizational structure, operations, procurement and logistics, evaluation efforts, marketing and community engagement, success and challenges. A primary qualitative analysis involved deductive coding using qualitative software. A secondary qualitative analysis identified subthemes related to common challenges and remedial practices. A deductive coding process was applied to match identified challenges to the appropriate Consolidated Framework for Implementation Research (CFIR). RESULTS: The leading challenges cited by KIs correspond to the CFIR domains of inner setting (e.g., funding and resources), outer setting (e.g., navigating regulations), and process (e.g., engaging community partnership). Practices that may mitigate challenges include maximizing ancillary services, adopting innovative volunteer and staffing structures, and formalizing agreements with community partners. CONCLUSION: Common and persistent challenges ought to be addressed to ensure and enhance the positive public health impacts of mobile produce markets. Contextual factors, particularly organizational factors, that impact implementation should also be considered when implementing an evidence-based intervention at a mobile market. Further research is needed to determine which innovative solutions are the most effective in mitigating challenges, improving implementation, and enhancing sustainability of mobile markets.

Prevention Research Centers and COVID-19: Models of a Community-Engaged Response to a Public Health Emergency.

For more than 30 years, the network of Centers for Disease Control and Prevention (CDC)-funded Prevention Research Centers (PRCs) has worked with local communities and partners to implement and evaluate public health interventions and policies for the prevention of disease and promotion of health. The COVID-19 pandemic tested the PRC network's ability to rapidly respond to multiple, simultaneous public health crises. On April 28, 2020, to assess the network's engagement with activities undertaken in response to the early phase of the pandemic, PRC network leadership distributed an online survey to the directors of 34 currently or formerly funded PRCs, asking them to report their PRCs' engagement with predetermined activities across 9 topical areas and provide case studies exemplifying that engagement. We received responses from 24 PRCs, all of which reported engagement with at least 1 of the 9 topical areas (mean, 5). The topical areas with which the greatest number of PRCs reported engagement were support of frontline agencies (21 of 24, 88%) and support of activities related to health care (21 of 24, 88%). The mean number of activities with which PRCs reported engagement was 11. The PRCs provided more than 90 case studies exemplifying their work. The results of the survey indicated that the PRCs mobilized their personnel and resources to support the COVID-19 response in less than 6 weeks. We posit that the speed of this response was due, in part, to the broad and diverse expertise of PRC personnel and long-standing partnerships between PRCs and the communities in which they work.

Comparisons of Four Diet Quality Indexes to Define Single Meal Healthfulness.

BACKGROUND: Many dietary indexes exist to evaluate nutrition quality, but few specifically assess the quality of a single meal. OBJECTIVE: Our aim was to compare 4 different diet quality indexes in their ability to assess the nutrition quality of single meals. DESIGN: This was a secondary analysis of data from the PACE (Effects of Physical Activity Calorie Expenditure) food labeling study (2015-2017). Data were collected in business cafeterias in North Carolina and included photos of lunch trays before consumption from an adult population and serving sizes of each food item. Additional nutrient analysis was conducted to compile macro- and micronutrient data for each food item, in addition to servings provided from each food group. MAIN OUTCOME MEASURES: The main outcome was individual meal nutrition quality. Data from the PACE study were used to calculate the scores of the following diet quality indexes: Healthy Eating Index 2015, Dietary Approaches to Stop Hypertension accordance score, Main Meal Quality Index, and Nutrient Rich Foods Index. STATISTICAL ANALYSIS PERFORMED: To score the meals, algorithms were created in SAS software, version 9.4, to combine individual foods and beverages into meals and calculate scores according to the individual index components. The total scores for each of the indexes were compared using Spearman correlation coefficients. RESULTS: A total of 8,070 observations or "meals" from 379 participants were scored for this study. The scores for each observation varied by index. The Spearman correlation coefficients between the indexes for the total score for all observations ranged from 0.26 to 0.68. The correlation coefficients did not change equally among the indexes when observations were excluded based on predefined criteria for what constitutes a meal. CONCLUSIONS: There is wide variability in scores of the 4 diet quality indexes analyzed in this study. In addition, the indexes show weak to moderate correlation, indicating that the appropriateness of the index will depend greatly on the study questions and objectives.