Diet Quality Over the Monthly Supplemental Nutrition Assistance Program Cycle.

INTRODUCTION: Supplemental Nutrition Assistance Program (SNAP) benefits, which are distributed monthly, help low-income families put food on their tables. Both food spending and caloric intake among recipients decrease over the month following benefit receipt. This pattern, termed the "SNAP-cycle," has serious implications for health and food security of low-income households. To understand better the SNAP-cycle, this study explored (1) differences in diet quality between SNAP and non-SNAP households and (2) the association between the SNAP-cycle and diet quality. METHODS: Multivariate linear regression with SNAP households in the U.S. Department of Agriculture's Food Acquisition and Purchase Survey to evaluate changes in diet quality as time from SNAP distribution increased. Diet quality of food purchases was measured by Healthy Eating Index-2010 total and component scores. Data were collected 2012-2013 and analyzed 2016-2017. RESULTS: Overall dietary quality was low throughout the SNAP-cycle (n=1,377, mean Healthy Eating Index 46.14 of 100). SNAP households had significantly lower Healthy Eating Index scores compared with eligible and ineligible nonparticipants (p<0.05). After controlling for covariates, households in the final 10 days of the benefit cycle had Healthy Eating Index-2010 total scores 2.95 points lower than all other SNAP households (p=0.02). Significant declines in Healthy Eating Index fruit and vegetable scores contributed to worsening diet quality over the SNAP-cycle. CONCLUSIONS: This study provides evidence of low dietary quality throughout the SNAP-cycle with significantly lower Healthy Eating Index scores in the final 10 days of the benefit month. This suggests less healthy purchasing occurs when resources are diminished, but overall that current SNAP levels are insufficient to consistently purchase foods according to dietary guidelines.

Public Libraries As Partners for Health.

INTRODUCTION: Public libraries are free and accessible to all and are centers of community engagement and education, making them logical choices as partners for improving population health. Library staff members routinely assist patrons with unmet health and social needs. METHODS: We used a 100-question, self-administered web survey sent to all library directors listed in the Pennsylvania Library Association database (N = 621), to investigate staff interactions with library patrons to address social determinants of health. We conducted statistical comparisons of quantitative responses and a content analysis of open-ended responses. RESULTS: Respondents (N = 262) reported frequently interacting with patrons around health and social concerns - well beyond those related to literacy and education - including help with employment (94%), nutrition (70%), exercise (66%), and social welfare benefits (51%). Acute emergencies were not uncommon in Pennsylvania's public libraries, with nearly 12% of respondents having witnessed a drug overdose at the library in the past year. Most respondents felt that their professional training left them inadequately prepared to assist patrons with health and social issues. Although at least 40% of respondents offered some health programming at their library branch, their offerings did not meet the high level of need reflected in common patron inquiries. CONCLUSION: The challenges library staff members experience in meeting their patrons' information needs suggest opportunities for public libraries to advance population health. Library staff members need additional training and resources and collaboration with public health and health care institutions to respond to community needs through effective, evidence-based public health programming.

Where do U.S. households purchase healthy foods? An analysis of food-at-home purchases across different types of retailers in a nationally representative dataset.

Food shopping decisions are pathways between food environment, diet and health outcomes, including chronic diseases such as diabetes and obesity. The choices of where to shop and what to buy are interrelated, though a better understanding of this dynamic is needed. The U.S. Department of Agriculture's nationally representative Food Acquisitions and Purchase Survey food-at-home dataset was joined with other databases of retailer characteristics and Healthy Eating Index-2010 (HEI) of purchases. We used linear regression models with general estimating equations to assess relationships between trip, store, and shopper characteristics with trip HEI scores. We examined HEI component scores for conventional supermarkets and discount/limited assortment retailers with descriptive statistics. Overall, 4962 shoppers made 11,472 shopping trips over one-week periods, 2012-2013. Trips to conventional supermarkets were the most common (53.6%), followed by supercenters (18.6%). Compared to conventional supermarkets, purchases at natural/gourmet stores had significantly higher HEI scores (ß = 6.48, 95% CI = [4.45, 8.51], while those from "other" retailers (including corner and convenience stores) were significantly lower (-3.89, [-5.87, -1.92]). Older participants (versus younger) and women (versus men) made significantly healthier purchases (1.19, [0.29, 2.10]). Shoppers with less than some college education made significantly less-healthy purchases, versus shoppers with more education, as did households participating in SNAP, versus those with incomes above 185% of the Federal Poverty Level. Individual, trip, and store characteristics influenced the healthfulness of foods purchased. Interventions to encourage healthy purchasing should reflect these dynamics in terms of how, where, and for whom they are implemented.

Public Library Staff as Community Health Partners: Training Program Design and Evaluation.

Public libraries are free and open to all-and accessed at high rates by vulnerable populations-which positions them to be key public health allies. However, library staff themselves often feel ill-equipped to address the health and social concerns of their patrons. To fill this gap, we developed a case-based training curriculum to help library staff recognize, engage, and refer vulnerable patrons to appropriate resources. Topics addressed in the training, including homelessness, mental health and substance use disorders, immigration, and trauma, were selected based on findings from a prior community needs assessment. Using a modified measure of self-efficacy, participants ( n = 33) were surveyed before and after each session. Several participants ( n = 7) were also interviewed 4 months after the training was completed. Overall, staff reported significant increases in comfort, confidence, and preparedness in assisting vulnerable patrons across all topic areas. Qualitative findings reflected positive perceived impact and value of the trainings. Staff felt training resources should be made more readily accessible. Improving library staff capacity to address the health and social needs of their patrons can further establish public libraries as partners in improving population health.

Discrete Choice Model of Food Store Trips Using National Household Food Acquisition and Purchase Survey (FoodAPS).

Where households across income levels shop for food is of central concern within a growing body of research focused on where people live relative to where they shop, what they purchase and eat, and how those choices influence the risk of obesity and chronic disease. We analyzed data from the National Household Food Acquisition and Purchase Survey (FoodAPS) using a conditional logit model to determine where participants shop for food to be prepared and eaten at home and how individual and household characteristics of food shoppers interact with store characteristics and distance from home in determining store choice. Store size, whether or not it was a full-service supermarket, and the driving distance from home to the store constituted the three significant main effects on store choice. Overall, participants were more likely to choose larger stores, conventional supermarkets rather than super-centers and other types of stores, and stores closer to home. Interaction effects show that participants receiving Supplemental Nutrition Assistance Program (SNAP) were even more likely to choose larger stores. Hispanic participants were more likely than non-Hispanics to choose full-service supermarkets while White participants were more likely to travel further than non-Whites. This study demonstrates the value of explicitly spatial discrete choice models and provides evidence of national trends consistent with previous smaller, local studies.