Early results of a natural experiment evaluating the effects of a local minimum wage policy on the diet-related health of low-wage workers, 2018-2020.

OBJECTIVE: The current study presents results of a midpoint analysis of an ongoing natural experiment evaluating the diet-related effects of the Minneapolis Minimum Wage Ordinance, which incrementally increases the minimum wage to $15/h. DESIGN: A difference-in-difference (DiD) analysis of measures collected among low-wage workers in two U.S. cities (one city with a wage increase policy and one comparison city). Measures included employment-related variables (hourly wage, hours worked and non-employment assessed by survey questions with wages verified by paystubs), BMI measured by study scales and stadiometers and diet-related mediators (food insecurity, Supplemental Nutrition Assistance Program (SNAP) participation and daily servings of fruits and vegetables, whole-grain rich foods and foods high in added sugars measured by survey questions). SETTING: Minneapolis, Minnesota and Raleigh, North Carolina. PARTICIPANTS: A cohort of 580 low-wage workers (268 in Minneapolis and 312 in Raleigh) who completed three annual study visits between 2018 and 2020. RESULTS: In DiD models adjusted for time-varying and non-time-varying confounders, there were no statistically significant differences in variables of interest in Minneapolis compared with Raleigh. Trends across both cities were evident, showing a steady increase in hourly wage, stable BMI, an overall decrease in food insecurity and non-linear trends in employment, hours worked, SNAP participation and dietary outcomes. CONCLUSION: There was no evidence of a beneficial or adverse effect of the Minimum Wage Ordinance on health-related variables during a period of economic and social change. The COVID-19 pandemic and other contextual factors likely contributed to the observed trends in both cities.

Perceptions of a food benefit programme that includes financial incentives for the purchase of fruits and vegetables and restrictions on the purchase of foods high in added sugar.

OBJECTIVE: To report perspectives of participants in a food benefit programme that includes foods high in added sugar (FAS) restrictions and FAS restrictions paired with fruits and vegetables (F/V) incentives. DESIGN: Randomised experimental trial in which participant perspectives were an exploratory study outcome. SETTING: Participants were randomised into one of three Supplemental Nutrition Assistance Program (SNAP)-like food benefit programme groups: (1) restriction: not allowed to buy FAS with benefits; (2) restriction paired with incentive: not allowed to buy FAS with benefits and 30 % financial incentive on eligible F/V purchased using benefits; or (3) control: same food purchasing rules as SNAP. Participants were asked questions to assess programme satisfaction. PARTICIPANTS: Adults in the Minneapolis-St. Paul, MN metropolitan area, eligible for but not currently participating in SNAP who completed baseline and follow-up study measures (n 254). RESULTS: Among remaining households in each group, most found the programme helpful in buying nutritious foods (88·2 %-95·7 %) and were satisfied with the programme (89·1 %-93·0 %). Sensitivity analysis results indicate that reported helpfulness and satisfaction with the programme may in some instances be lower among the restriction and the restrictions paired with incentive groups in comparison to the control group. CONCLUSIONS: A food benefit programme that includes restriction on purchase of FAS or restriction paired with a financial incentive for F/V purchases may be acceptable to most SNAP-eligible households with children.

Reproducibility and Validity of a Semiquantitative Food Frequency Questionnaire in Men Assessed by Multiple Methods.

Among 626 participants of the Men's Lifestyle Validation Study (2011-2013), we evaluated the validity and reproducibility of a self-administered 152-item semiquantitative food frequency questionnaire (SFFQ) using two 7-day dietary records (7DDRs), 4 Automated Self-Administered 24-hour dietary recalls (ASA24s), four 24-hour urine samples, 1 doubly labeled water measurement (repeated in 104 participants), and 2 fasting blood samples, collected over 15 months. Compared with 7DDRs, SFFQs underestimated energy intake, macronutrients, and sodium intake but overestimated some micronutrients. The mean of the Spearman correlation coefficients was 0.66 (range, 0.38-0.88) between 46 energy-adjusted nutrients estimated from 7DDRs and the final SFFQ, deattenuated for within-person variation in the 7DDRs. These deattenuated correlations were similar using ASA24s as the comparison. Relative to biomarkers, SFFQs underestimated energy, sodium, and protein intakes, as well as the sodium:potassium ratio. The energy-adjusted correlations between the final SFFQ and the biomarkers were slightly lower than the correlations between the SFFQ and 7DDRs. Using the method of triads to calculate validity coefficients, the median validity coefficient between SFFQ and true intake was 0.65 and 0.69 using 7DDRs and ASA24s, respectively, as the third method. These data indicate that this SFFQ provided reasonably valid estimates for a wide range of nutrients when evaluated by multiple comparison methods.

The impact of financial incentives and restrictions on cyclical food expenditures among low-income households receiving nutrition assistance: a randomized controlled trial.

BACKGROUND: The Supplemental Nutrition Assistance Program (SNAP) is the largest anti-hunger program in the United States. Two proposed interventions to encourage healthier food expenditures among SNAP participants have generated significant debate: financial incentives for fruits and vegetables, and restrictions on foods high in added sugar. To date, however, no study has assessed the impact of these interventions on the benefit cycle, a pattern of rapid depletion of SNAP benefits that has been linked to worsening nutrition and health outcomes over the benefit month. METHODS: Low-income households not currently enrolled in SNAP (n = 249) received benefits every 4 weeks for 12 weeks on a study-specific benefit card. Households were randomized to one of four study arms: 1) incentive (30% incentive for fruits and vegetables purchased with study benefits), 2) restriction (not allowed to buy sugar-sweetened beverages, sweet baked goods, or candy using study benefits), 3) incentive plus restriction, or 4) control (no incentive or restriction). Weekly household food expenditures were evaluated using generalized estimating equations. RESULTS: Compared to the control group, financial incentives increased fruit and vegetable purchases, but only in the first 2 weeks after benefit disbursement. Restrictions decreased expenditures on foods high in added sugar throughout the benefit month, but the magnitude of the impact decreased as the month progressed. Notably, restrictions mitigated cyclical expenditures. CONCLUSIONS: Policies to improve nutrition outcomes among SNAP participants should consider including targeted interventions in the second half of the month to address the benefit cycle and attendant nutrition outcomes. TRIAL REGISTRATION: ClinicalTrial.gov, NCT02643576 . Retrospectively registered December 22, 2014.

Trends in cyclical food expenditures among low-income households receiving monthly nutrition assistance: results from a prospective study.

OBJECTIVE: Supplemental Nutrition Assistance Program (SNAP) benefits are rapidly depleted after distribution. This phenomenon, known as the benefit cycle, is associated with poor nutrition and health outcomes. However, to date, no study has evaluated trends in food expenditures before and after households receive benefits using prospective data, and whether these trends vary by household characteristics. DESIGN: Generalised estimating equations were used to model weekly household food expenditures during baseline (pre-benefit) and intervention months by vendor (restaurants and food retailers). Food retailer expenditures were further evaluated by food category (fruits and vegetables and foods high in added sugar). All expenditures were evaluated by household composition, demographics and economic means. SETTING: Minneapolis-St. Paul, Minnesota, metropolitan area. PARTICIPANTS: Low-income households (n 249) enrolled May 2013-August 2015. RESULTS: Weekly food retailer expenditures did not vary during baseline (pre-benefit), but demonstrated a cyclical pattern after households received benefits across all household characteristics and for both food categories, particularly for fruits and vegetables. Households with greater economic resources spent more throughout the month compared with those with fewer resources. Households with lower food security status experienced more severe fluctuations in spending compared with more food secure households. CONCLUSIONS: Cyclical food purchasing was observed broadly across different household characteristics and food categories, with notable differences by household economic means and food security status. Proposed SNAP policy changes designed to smooth food expenditures across the benefit month, such as increased frequency of benefit distribution, should include a focus on households with fewest resources.

Associations between shopper impulsivity and cyclical food purchasing: Results from a prospective trial of low-income households receiving monthly benefits.

Supplemental Nutrition Assistance Program (SNAP) benefits are rapidly depleted after distribution. This phenomenon, known as the benefit cycle, is associated with poor nutrition and health outcomes. Proposed interventions targeting the benefit cycle often focus on impulsive decision-making. However, it remains unclear whether shopper impulsivity is associated with food purchasing behavior. Using data from a prospective trial, we evaluate whether shopper impulsivity is associated with food purchasing behavior before and after households receive nutrition assistance. In this study, 249 low-income households in the Minneapolis-St. Paul, Minnesota, metropolitan area received monthly benefits for three months. Overall impulsivity and impulsivity subtraits of the primary shopper was assessed using the Barratt Impulsiveness Scale-11. Both total food expenditures and expenditures for two specific categories (fruits and vegetables, and foods high in added sugar) were evaluated. Generalized estimating equations were used to model household expenditures as a function of week since benefit distribution, impulsivity, and their interaction. Results showed that during the benefit period, food expenditures were cyclical and patterned by impulsivity. Shoppers with greater overall impulsivity spent $40.62 more in week 1 (p < 0.001). While more impulsive shoppers spent more on foods high in added sugar throughout the month (p < 0.05 for all weeks), no patterns were observed for fruits and vegetables. These findings suggest that greater impulsivity exacerbates cyclical food purchasing behavior. The impact of shopper impulsivity is especially notable for expenditures on foods high in added sugar. SNAP educational interventions to mitigate the benefit cycle may be strengthened by focusing on more impulsive shoppers and on strategies to reduce impulsive purchases of foods high in added sugar.

Store and neighborhood differences in retailer compliance with a local staple foods ordinance.

BACKGROUND: Policies to improve healthy food retail have been recognized as a potential means of reducing diet-related health disparities. The revised 2014 Minneapolis Staple Foods Ordinance instituted minimum stocking standards for healthy, staple foods. The objective of this study was to examine retailer compliance with the policy, and whether compliance varied by neighborhood and store characteristics. METHODS: In this natural experiment, audits were conducted annually pre- and post-ordinance (2014-2017) in 155 small/nontraditional stores in Minneapolis, MN and a comparison city (St. Paul, MN). Compliance measures for 10 product categories included: (1) met requirements for ≥8 categories; (2) 10-point scale (one point for each requirement met); and (3) carried any item in each category. Store characteristics included store size and ownership status. Neighborhood characteristics included census-tract socioeconomic status and low-income/low-access status. Analyses were conducted in 2018. RESULTS: All compliance measures increased in both Minneapolis and St. Paul from pre- to post-policy; Minneapolis increases were greater only for carrying any item in each category (p < 0.01). In Minneapolis, corporate (vs. independent) stores were generally more compliant. No differences were found by neighborhood characteristics. CONCLUSIONS: Overall trends suggest broad movement among Minneapolis stores towards providing a minimum level of staple foods. Increases were greater in corporate stores. Trends do not suggest neighborhood-level disparities in compliance. STUDY REGISTRATION: ClinicalTrials.gov NCT02774330, retrospectively registered May 17, 2016.

Self-Reported Measures of Discretionary Salt Use Accurately Estimated Sodium Intake Overall but not in Certain Subgroups of US Adults from 3 Geographic Regions in the Salt Sources Study.

BACKGROUND: Excess sodium intake can increase blood pressure, and high blood pressure is a major risk factor for cardiovascular disease. Accurate population sodium intake estimates are essential for monitoring progress toward reduction, but data are limited on the amount of sodium consumed from discretionary salt. OBJECTIVES: The aim of this study was to compare measured sodium intake from salt added at the table with that estimated according to the Healthy People 2020 (HP 2020) methodology. METHODS: Data were analyzed from the 2014 Salt Sources Study, a cross-sectional convenience sample of 450 white, black, Asian, and Hispanic adults living in Alabama, Minnesota, and California. Sodium intake from foods and beverages was assessed for each participant through the use of 24-h dietary recalls. Estimated sodium intake from salt used at the table was assessed from self-reported frequency and estimated amounts from a previous study (HP 2020 methodology). Measured intake was assessed through the use of duplicate salt samples collected on recall days. RESULTS: Among all study participants, estimated and measured mean sodium intakes from salt added at the table were similar, with a nonsignificant difference of 8.9 mg/d (95% CI: -36.6, 54.4 mg/d). Among participants who were non-Hispanic Asian, Hispanic, had a bachelor's degree or higher education, lived in California or Minnesota, did not report hypertension, or had normal BMI, estimated mean sodium intake was 77-153 mg/d greater than measured intake (P < 0.05). The estimated mean sodium intake was 186-300 mg/d lower than measured intake among participants who were non-Hispanic black, had a high school degree or less, or reported hypertension (P < 0.05). CONCLUSIONS: The HP 2020 methodology for estimating sodium consumed from salt added at the table may be appropriate for the general US adult population; however, it underestimates intake in certain population subgroups, particularly non-Hispanic black, those with a high school degree or less, or those with self-reported hypertension. This study was registered at clinicaltrials.gov as NCT02474693.

Evaluation of the first U.S. staple foods ordinance: impact on nutritional quality of food store offerings, customer purchases and home food environments.

BACKGROUND: Many lower-income and racially diverse communities in the U.S. have limited access to healthy foods, with few supermarkets and many small convenience stores, which tend to stock limited quantities and varieties of healthy foods. To address food access, in 2015 the Minneapolis Staple Foods Ordinance became the first policy requiring food stores to stock minimum quantities and varieties of 10 categories of healthy foods/beverages, including fruits, vegetables, whole grains and other staples, through licensing. This study examined whether: (a) stores complied, (b) overall healthfulness of store environments improved, (c) healthy customer purchases increased, and (d) healthfulness of home food environments improved among frequent small store shoppers. METHODS: Data for this natural (or quasi) experiment were collected at four times: pre-policy (2014), implementation only (no enforcement, 2015), enforcement initiation (2016) and continued monitoring (2017). In-person store assessments were conducted to evaluate food availability, price, quality, marketing and placement in randomly sampled food retailers in Minneapolis (n = 84) and compared to those in a nearby control city, St. Paul, Minnesota (n = 71). Stores were excluded that were: supermarkets, authorized through WIC (Special Supplemental Nutrition Program for Women, Infants, and Children), and specialty stores (e.g., spice shops). Customer intercept interviews were conducted with 3,039 customers exiting stores. Home visits, including administration of home food inventories, were conducted with a sub-sample of frequent shoppers (n = 88). RESULTS: Overall, findings indicated significant improvements in healthy food offerings by retailers over time in both Minneapolis and St. Paul, with no significant differences in change between the two cities. Compliance was low; in 2017 only 10% of Minneapolis retailers in the sample were fully compliant, and 51% of participating Minneapolis retailers met at least 8 of the 10 required standards. Few changes were observed in the healthfulness of customer purchases or the healthfulness of home food environments among frequent shoppers, and changes were not different between cities. CONCLUSIONS: This study is the first evaluation a local staple foods ordinance in the U.S. and reflects the challenges and time required for implementing such policies. TRIAL REGISTRATION: NCT02774330 .

Sources of Sodium in US Adults From 3 Geographic Regions.

BACKGROUND: Most US adults consume excess sodium. Knowledge about the dietary sources of sodium intake is critical to the development of effective reduction strategies. METHODS: A total of 450 adults were recruited from 3 geographic locations: Birmingham, AL (n=150); Palo Alto, CA (n=150); and the Minneapolis-St. Paul, MN (n=150), metropolitan areas. Equal numbers of women and men from each of 4 race/ethnic groups (blacks, Asians, Hispanics, and non-Hispanic whites) were targeted for recruitment. Four record-assisted 24-hour dietary recalls were collected from each participant with special procedures, which included the collection of duplicate samples of salt added to food at the table and in home food preparation. RESULTS: Sodium added to food outside the home was the leading source of sodium, accounting for more than two thirds (70.9%) of total sodium intake in the sample. Although the proportion of sodium from this source was smaller in some subgroups, it was the leading contributor for all subgroups. Contribution ranged from 66.3% for those with a high school level of education or less to 75.0% for those 18 to 29 years of age. Sodium inherent to food was the next highest contributor (14.2%), followed by salt added in home food preparation (5.6%) and salt added to food at the table (4.9%). Home tap water consumed as a beverage and dietary supplement and nonprescription antacids contributed minimally to sodium intake (<0.5% each). CONCLUSIONS: Sodium added to food outside the home accounted for ≈70% of dietary sodium intake. This finding is consistent with the 2010 Institute of Medicine recommendation for reduction of sodium in commercially processed foods as the primary strategy to reduce sodium intake in the United States. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02474693.

Relative Validity of Nutrient Intakes Assessed by Questionnaire, 24-Hour Recalls, and Diet Records as Compared With Urinary Recovery and Plasma Concentration Biomarkers: Findings for Women.

We evaluated the performance of a semiquantitative food frequency questionnaire (SFFQ), the Automated Self-Administered 24-Hour Dietary Recall (ASA24), and 7-day dietary records (7DDRs), in comparison with biomarkers, in the estimation of nutrient intakes among 627 women in the Women's Lifestyle Validation Study (United States, 2010-2012). Two paper SFFQs, 1 Web-based SFFQ, 4 ASA24s (beta version), 2 7DDRs, 4 24-hour urine samples, 1 doubly labeled water measurement (repeated among 76 participants), and 2 fasting blood samples were collected over a 15-month period. The dietary variables evaluated were energy, energy-adjusted intakes of protein, sodium, potassium, and specific fatty acids, carotenoids, α-tocopherol, retinol, and folate. In general, relative to biomarkers, averaged ASA24s had lower validity than the SFFQ completed at the end of the data-collection year (SFFQ2); SFFQ2 had slightly lower validity than 1 7DDR; the averaged SFFQs had validity similar to that of 1 7DDR; and the averaged 7DDRs had the highest validity. The deattenuated correlation of energy-adjusted protein intake assessed by SFFQ2 with its biomarker was 0.46, similar to its correlation with 7DDRs (deattenuated r = 0.54). These data indicate that the SFFQ2 provides reasonably valid measurements of energy-adjusted intake for most of the nutrients assessed in our study, consistent with earlier conclusions derived using 7DDRs as the comparison method. The ASA24 needs further evaluation for use in large population studies, but an average of 3 days of measurement will not be sufficient for some important nutrients.

The Feeding Infants and Toddlers Study (FITS) 2016: Study Design and Methods.

Background: Diet and feeding patterns during the infant, toddler, and preschool years affect nutrient adequacy or excess during critical developmental periods. Understanding food consumption, feeding practices, and nutrient adequacy or excess during these periods is essential to establishing appropriate recommendations aimed at instilling healthy eating behaviors in children. Objective: The objective of the 2016 Feeding Infants and Toddlers Study (FITS 2016) was to update our knowledge on the diets and feeding patterns of young children and to provide new data in related areas such as feeding behaviors, sleep, physical activity, and screen use. This article describes the study design, data collection methods, 24-h dietary recall (24-h recall) protocol, and sample characteristics of FITS 2016. Methods: FITS 2016 is a cross-sectional study of caregivers of children aged <4 y living in the 50 states and Washington, DC. Data collection occurred between June 2015 and May 2016. A recruitment interview (respondent and child characteristics, feeding practices, physical activity, screen use, and sleep habits) was completed by telephone or online. This was followed by a feeding practices questionnaire and the 24-h recall conducted by telephone. A second 24-h recall was collected for a random subsample of 25% of the total sampled population. Results: Among the 4830 recruited households with an age-eligible child, 3248 (67%) completed the 24-h recall. The respondents were more likely to be white, less likely to be Hispanic, and more highly educated than the US population of adults in households with a child <4 y of age. The sample was subsequently calibrated and weighted, and the distribution of respondents was compared with known population distributions. Conclusions: FITS 2016 provides data based on sound methods that can inform researchers, policymakers, and practitioners about the food and nutrient intakes of young children. New findings may also be compared with previous FITS studies.

Measuring the impact of manganese exposure on children's neurodevelopment: advances and research gaps in biomarker-based approaches.

BACKGROUND: Children's exposure to manganese (Mn) is a public health concern and consistent policy guidelines for safe levels of Mn exposure is lacking. The complexity of establishing exposure thresholds for Mn partially relates to its dual role as an essential micronutrient with low levels required for good health, but also as a neurotoxin at high levels. Questions exist about the age-related susceptibility to excess Mn, particularly for children, and how best to measure chronic exposures. To address this concern we conducted a systematic review of studies examining children's exposure to Mn and neurodevelopmental outcomes focused on selection of biomarker-based and environmental measurements of Mn exposure to identify the scientific advances and research gaps. METHODS: PubMed and EMBASE databases were searched through March 2016 for studies that were published in English, used a biomarker-based or environmental measurement of Mn exposure, and measured at least one neurological outcome for children aged 0-18 years. Ultimately, thirty-six papers from 13 countries were selected. Study designs were cross-sectional (24), prospective cohorts (9), and case control (3). Neurodevelopmental outcomes were first assessed for Mn exposure in infants (6 papers), toddlers or preschoolers (3 papers) and school-age children (27 papers). RESULTS: Studies of school-aged children most frequently measured Intelligence Quotient (IQ) scores using Mn biomarkers of hair or blood. Higher hair concentrations of Mn were consistently associated with lower IQ scores while studies of blood biomarkers and IQ scores had inconsistent findings. Studies of infants and toddlers most frequently measured mental and psychomotor development; findings were inconsistent across biomarkers of Mn (hair, cord blood, tooth enamel, maternal or child blood and dentin). Although few studies measured environmental sources of Mn, hair biomarkers were associated with Mn in drinking water and infant formula. Only one paper quantified the associations between environmental sources of Mn and blood concentrations. CONCLUSION: Hair-Mn was the more consistent and valid biomarker of Mn exposure in school-aged children. Accurate measurement of children's exposure to Mn is crucial for addressing these knowledge gaps in future studies. However, research on biomarkers feasible for fetuses and infants is urgently needed given their unique vulnerability to excessive Mn.

Healthfulness of Foods Advertised in Small and Nontraditional Urban Stores in Minneapolis-St. Paul, Minnesota, 2014.

INTRODUCTION: Shopping at small food stores, such as corner stores and convenience stores, is linked with unhealthful food and beverage purchases, poor diets, and high risk of obesity. However, information on how foods and beverages are marketed at small stores is limited. The objective of this study was to examine advertisements and product placements for healthful and less healthful foods and beverages at small stores in Minneapolis-St. Paul, Minnesota. METHODS: We conducted in-store audits of 119 small and nontraditional food retailers (corner/small grocery stores, food-gas marts, pharmacies, and dollar stores) randomly selected from licensing lists in Minneapolis-St. Paul in 2014. We analyzed data on exterior and interior advertisements of foods and beverages and product placement. RESULTS: Exterior and interior advertisements for healthful foods and beverages were found in less than half of stores (exterior, 37% [44 of 119]; interior, 20% [24 of 119]). Exterior and interior advertisements for less healthful items were found in approximately half of stores (exterior, 46% [55 of 119]); interior, 66% [78 of 119]). Of the 4 store types, food-gas marts were most likely to have exterior and interior advertisements for both healthful and less healthful items. Corner/small grocery stores and dollar stores had fewer advertisements of any type. Most stores (77%) had at least 1 healthful item featured as an impulse buy (ie, an item easily reached at checkout), whereas 98% featured at least 1 less healthful item as an impulse buy. CONCLUSION: Findings suggest imbalanced advertising and product placement of healthful and less healthful foods and beverages at small food stores in Minneapolis-St. Paul; less healthful items were more apt to be featured as impulse buys. Future interventions and polices should encourage reductions in advertisements and impulse-buy placements of unhealthful products, particularly in food-gas marts, and encourage advertisements of healthful products.

Lack of Healthy Food in Small-Size to Mid-Size Retailers Participating in the Supplemental Nutrition Assistance Program, Minneapolis-St. Paul, Minnesota, 2014.

INTRODUCTION: The US Department of Agriculture has stocking criteria for healthy foods among Supplemental Nutrition Assistant Program (SNAP)-authorized retailers. Increased access to healthy food could improve diet quality among SNAP participants, which has implications for chronic disease prevention. The objective of this study was to quantify healthy foods stocked in small-size to mid-size retailers who are authorized under SNAP but not under the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). METHODS: We used formative, cross-sectional data from a large policy evaluation to conduct secondary analyses. Store audits were conducted in 2014 in 91 randomly selected, licensed food stores in Minneapolis and St. Paul, Minnesota. Supermarkets and retailers participating in WIC, which are required to stock healthy foods, were excluded as were other stores not reasonably expected to stock staple foods, such as specialty stores or produce stands. Availability of milk, fruits, vegetables, and whole-grain-rich foods was assessed. RESULTS: The 91 stores studied were corner stores, food-gas marts, dollar stores, and pharmacies. More than half carried 1 or more varieties of fat-free or low-fat milk, fresh or canned fruit, and whole-grain-rich cereal. However, only one-third stocked 1 or more varieties of fresh vegetables and only one-quarter stocked whole-grain-rich products, such as whole-grain-rich bread (26%) or tortillas (21%) or brown rice (25%). Few stores stocked at least 2 varieties of each product. CONCLUSIONS: Many stores did not stock a variety of healthy foods. The US Department of Agriculture should change policies to improve minimum stocking requirements for SNAP-authorized retailers.

An intervention based on Schachter's externality theory for overweight children: the regulation of cues pilot.

OBJECTIVE: This study evaluated the feasibility, acceptability, and initial efficacy of an intervention based on Schachter's externality theory; the Regulation of Cues (ROC) program. METHODS: 44 overweight and obese 8-12-year-old children and their parents were randomly assigned to a 4-month ROC program or the control group. Outcomes were assessed at baseline, posttreatment, and 4 months posttreatment and included acceptability and feasibility, body weight, and eating behaviors. RESULTS: The ROC program had moderate to high acceptability ratings. Significant improvements were found for the ROC group compared with the control group on child food responsiveness at posttreatment and eating in the absence of hunger at 4 months posttreatment. Improvements were seen for the ROC group compared with the control group on body weight measures and food responsiveness, although these only approached significance. CONCLUSION: The ROC intervention may be useful with overweight and obese children. Larger, fully powered studies are needed to further evaluate the efficacy of this model.

Effects of Inclusion of Food Purchase Restrictions and Incentives in a Food Benefit Program on Diet Quality and Food Purchasing: Results From a Randomized Trial.

BACKGROUND: There is interest in reshaping the Supplemental Nutrition Assistance Program (SNAP) to better support family nutrition. OBJECTIVE: The Grocery Assistance Program Study (GAPS) for Families evaluated the effects of prohibiting using program funds for the purchase of certain sugary foods on the nutritional quality of foods purchased and consumed by program participants. DESIGN: A randomized experimental trial was carried out with participants randomized to one of three food benefit conditions. Baseline and follow-up measures collected included interviewer-administered 24-hour dietary recalls, food purchase receipts, food security, height, and weight. PARTICIPANT/SETTING: Adult-child dyads in households eligible for SNAP but currently not enrolled were recruited from the Minneapolis/St Paul MN metropolitan area from May of 2018 through May of 2019. A total of 293 adult-child dyads received the intervention as allocated. Of these dyads, 233 adults completed follow-up measures and met criteria for inclusion in the analytic sample, resulting in an attrition rate of 20.5%. A total of 224 children completed follow-up measures and met criteria for inclusion in the analytic sample, resulting in an attrition rate of 23.5%. INTERVENTION: Participants were randomized to 1 of 3 conditions: restriction (not allowed to buy sugar-sweetened beverages [SSB], sweet baked goods, or candy with program funds); restriction paired with incentive (30% incentive for fruits and vegetables [FV] purchased with funds); and control (funds provided with no restrictions or incentives). Funds were provided on a 4-week cycle for 20 weeks via a study-provided debit card. MAIN OUTCOME MEASURES: The primary outcome was the Healthy Eating Index (HEI)-2015 total score. Additional outcomes included selected HEI-2015 component scores; energy intake; food security; body weight; and purchasing of SSB, sweet baked goods, candies, fruits, and vegetables. STATISTICAL ANALYSIS: Linear regression analyses were conducted with change in the outcome regressed on treatment condition for the primary outcome analyses. RESULTS: No differences were observed between conditions in change in the nutrition and food security measures examined. Purchases of SSB and sweet baked goods and candies significantly differed by experimental condition. Purchase of restricted foods was lower at follow-up in the restriction and restriction paired with incentive conditions compared with the control condition. For example, spending on SSB at follow-up was significantly lower in the restriction ($2.66/week) and restriction paired with incentive ($2.06/week) conditions in comparison with control condition ($4.44/week) (P < 0.0003 and P < 0.0001, respectively). CONCLUSIONS: This study failed to find evidence in support of prohibiting the purchase of sugary foods with food program funds as a strategy to improve program participant nutrition, even when paired with an FV incentive. Research carried out in the context of the SNAP program is needed for a more robust evidence base.

Postmenopausal hormone therapy and colorectal cancer risk by molecularly defined subtypes among older women.

BACKGROUND: Postmenopausal hormone (PMH) therapy may reduce colorectal cancer (CRC) risk, but existing data are inconclusive. OBJECTIVES: To evaluate associations between PMH therapy and incident CRC, overall and by molecularly defined subtypes, in the population-based Iowa Women's Health Study of older women. METHODS: Exposure data were collected from Iowa Women's Health Study participants (55-69 years) at baseline (1986). Archived, paraffin-embedded tissue specimens for 553 CRC cases were collected and analysed to determine microsatellite instability (MSI-L/MSS or MSI-H), CpG island methylator phenotype (CIMP-negative or CIMP-positive) and BRAF mutation (BRAF-wildtype or BRAF-mutated) status. Multivariable Cox regression models were fit to estimate RRs and 95% CIs. RESULTS: PMH therapy (ever vs never use) was inversely associated with incident CRC overall (RR=0.82; 95% CI 0.72 to 0.93), with a significantly lower risk for MSI-L/MSS tumours (RR=0.75; 95% CI 0.60 to 0.94), and borderline significantly lower risks for CIMP-negative (RR=0.79; 95% CI 0.63 to 1.01) and BRAF-wildtype (RR=0.83; 95% CI 0.66 to 1.04) tumours. For PMH therapy >5 years, the subtype-specific risk estimates for MSI-L/MSS, CIMP-negative and BRAF-wildtype tumours were: RR=0.60, 95% CI 0.40 to 0.91; RR=0.68, 95% CI 0.45 to 1.03; and RR=0.70, 95% CI 0.47 to 1.05, respectively. PMH therapy was not significantly associated with the MSI-H, CIMP-positive or BRAF-mutated CRC subtypes. CONCLUSIONS: In this prospective cohort study, PMH therapy was inversely associated with distinct molecularly defined CRC subtypes, which may be related to differential effects from oestrogen and/or progestin on heterogeneous pathways of colorectal carcinogenesis.

Adapting a US dietary analysis software and nutrient database for use in Brazil.

In many countries, assessing food and nutrient intake for research and surveillance purposes is difficult due to the lack of comprehensive, country-specific food and nutrient databases and/or a dietary analysis software program. In this case study, we describe the approach used to adapt a United States (US) dietary analysis software and nutrient database (Nutrition Data System for Research [NDSR]) for use in analyzing 24-hour dietary recalls collected for the Brazil Kids Nutrition and Health Study (KNHS). A team of experts that included individuals knowledgeable about Brazil and US eating traditions was assembled to devise solutions for between-country differences in eating habits, food supply, food nomenclature, and language. Solutions devised relied on several key resources, including the Brazilian Food Composition Table (TBCA) and a list of 200 foods commonly consumed in Brazil. These solutions included creating data entry rules that specified how each reported food should be entered into NDSR, creation of User Recipes for foods lacking a close nutritionally matching food in the NDSR database, and adjustment for food fortification differences as part of the analysis of study data. This case study illustrates that NDSR can be adapted for use outside of the United States through a structured process.

Cigarette smoking and colorectal cancer risk by KRAS mutation status among older women.

OBJECTIVES: Existing data support a modest association between cigarette smoking and incident colorectal cancer (CRC) overall. In this study, we evaluated associations between cigarette smoking and CRC risk stratified by KRAS mutation status, using data and tissue resources from the Iowa Women's Health Study (IWHS). METHODS: The IWHS is a population-based cohort study of cancer incidence among 41,836 randomly selected Iowa women, ages 55-69 years of age at enrollment (1986). Exposure data, including cigarette smoking, were obtained by self-report at baseline. Incident CRCs (n=1,233) were ascertained by annual linkage with the Iowa Cancer Registry. Archived tissue specimens from CRC cases recorded through 2002 were recently requested for molecular epidemiology investigations. Tumor KRAS mutation status was determined by direct sequencing of exon 2, with informative results in 507/555 (91%) available CRC cases (342 mutation negative and 165 mutation positive). Multivariate Cox regression models were fit to estimate relative risks (RRs) and 95% confidence intervals (CIs) for associations between cigarette smoking variables and KRAS-defined CRC subtypes. RESULTS: Multiple smoking variables were associated with increased risk for KRAS mutation-negative tumors, including age at initiation (P=0.02), average number of cigarettes per day (P=0.01), cumulative pack-years (P=0.05), and induction period (P=0.04), with the highest point estimate observed for women who smoked ≥40 cigarettes per day on average (RR=2.38; 95% CI=1.25-4.51; compared with never smokers). Further consideration of CRC subsite suggested that cigarette smoking may be a stronger risk factor for KRAS mutation-negative tumors located in the proximal colon than in the distal colorectum. None of the smoking variables were significantly associated with KRAS mutation-positive CRCs (overall or stratified by anatomic subsite). CONCLUSIONS: Data from this prospective study of older women demonstrate differential associations between cigarette smoking and CRC subtypes defined by KRAS mutation status, and are consistent with the hypothesis that smoking adversely affects the serrated pathway of colorectal carcinogenesis.