Toddler milk: a scoping review of research on consumption, perceptions, and marketing practices.

Toddler milk is an ultra-processed beverage consisting primarily of powdered milk, caloric sweeteners, and vegetable oil. Pediatric health authorities do not support the use of toddler milk, and emerging evidence suggests that toddler-milk marketing practices may mislead consumers. However, studies have not synthesized the extent of toddler-milk marketing practices or how these practices affect parents' decisions about whether to serve toddler milk. We aimed to summarize the literature about toddler milk to identify what is known about: (1) parents' toddler-milk purchasing and feeding behaviors, (2) toddler-milk marketing, and (3) how marketing practices influence parents' beliefs and perceptions about toddler milk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), we systematically searched 8 databases (PubMed, APA PsycINFO, Scopus, Cochrane Central, Embase, CINAHL, Communication & Mass Media Complete, and Business Source Premier). We identified 45 articles about toddler milk. Studies were conducted in 25 countries across 6 continents. Five types of findings emerged: (1) consumption and feeding behaviors, (2) demographic correlates of toddler-milk purchasing and consumption, (3) misperceptions and beliefs, (4) increased sales, and (5) increased marketing and responses to marketing. The included articles suggested that toddler-milk sales are growing rapidly worldwide. Findings also revealed that toddler-milk packages (eg, labels, branding) resemble infant formula packages and that toddler-milk marketing practices may indirectly advertise infant formula. Purchasing, serving, and consumption of toddler milk were higher in Black and Hispanic populations than in non-Hispanic White populations, and parents with higher educational attainment and income were more likely to offer toddler milk to their children. Findings suggest a need for policies to prevent cross-marketing of toddler milk and infant formula, reduce provision of toddler milk to infants and toddlers, and prevent caregivers from being misled about toddler-milk healthfulness.

A thematic content analysis of 2010-2015 state tobacco control legislation in the United States: Bill rationales and priority populations.

Objective: Tobacco use causes numerous types of cancers, heart diseases, and chronic illnesses, and is responsible for nearly 1 in every 5 deaths in the United States (U.S.) annually. This study assessed whether tobacco control laws introduced in state legislatures between 2010 and 2015 provided a rationale for the proposed bill and/or specified priority population groups, and we then examined emerging themes in the text that did so. Methods: Using LexisNexis® State Net®, we identified tobacco control bills introduced in all states and coded their bill rationales and population category. We then conducted qualitative thematic analysis on a sample of bills with rationales or specified populations. Results: Of the 2815 tobacco control bills introduced in state legislatures in the analysis period, 422 (15.0%) included a bill rationale, and 1309 (46.5%) specified at least one priority population. Four overarching themes emerged: 1) Addressing tobacco-related health harms and financial costs incurred to society; 2) Protecting the public from tobacco-related harms as a government responsibility; 3) Providing services to priority populations; 4) Exempting or preempting some population groups and localities. Conclusions: Rationalizing tobacco control legislation by focusing on both health and cost implications was a key feature of tobacco policy bill text we analyzed; given the history of this approach, it is likely to remain so in the future. Our study may serve as a benchmark for tracking current and future tobacco control legislation to examine whether there is a growth in prioritizing populations experiencing unjust burdens of tobacco use and related disease.

Institutional Reform to Promote Antiracism: A Tool for Developing an Organizational Equity Action and Accountability Plan.

Racism is a public health problem. Systems, structures, policies, and practices perpetuate a culture built on racism. Institutional reform is needed to promote antiracism. This article describes 1) a tool used to develop an equity action and accountability plan (EAAP) that promotes antiracism in the Department of Health Behavior at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health, 2) strategies that were developed, and 3) short-term outcomes and lessons learned. A study coordinator, not affiliated with the Department of Health Behavior, was hired to collect qualitative data that documented the lived experiences of students and alumni of color (ie, racial and ethnic minority students) over time in the department. Seeking action from faculty and departmental leadership, students engaged in collective organizing covered the department chair's office door with notes describing microaggressions, and visited faculty one-on-one to demand action. In response, 6 faculty members volunteered to form the Equity Task Force (ETF) to explicitly address students' concerns. The ETF identified priority areas for action based on 2 student-led reports, gathered resources from other institutions and the public health literature, and examined departmental policies and procedures. The ETF drafted the EAAP, solicited feedback, and revised it according to 6 priority strategies with actionable steps: 1) transform culture and climate, 2) enhance teaching, mentoring, and training, 3) revisit performance and evaluation of faculty and staff, 4) strengthen recruitment and retention of faculty of color, 5) increase transparency in student hiring practices and financial resources, and 6) improve equity-oriented research practices. This planning tool and process can be used by other institutions to achieve antiracist reform.

Using systems science to advance health equity in tobacco control: a causal loop diagram of smoking.

OBJECTIVES: Develop and use a causal loop diagram (CLD) of smoking among racial/ethnic minority and lower-income groups to anticipate the intended and unintended effects of tobacco control policies. METHODS: We developed a CLD to elucidate connections between individual, environmental and structural causes of racial/ethnic and socioeconomic disparities in smoking. The CLD was informed by a review of conceptual and empirical models of smoking, fundamental cause and social stress theories and 19 qualitative interviews with tobacco control stakeholders. The CLD was then used to examine the potential impacts of three tobacco control policies. RESULTS: The CLD includes 24 constructs encompassing individual (eg, risk perceptions), environmental (eg, marketing) and structural (eg, systemic racism) factors associated with smoking. Evaluations of tobacco control policies using the CLD identified potential unintended consequences that may maintain smoking disparities. For example, the intent of a smoke-free policy for public housing is to reduce smoking among residents. Our CLD suggests that the policy may reduce smoking among residents by reducing smoking among family/friends, which subsequently reduces pro-smoking norms and perceptions of tobacco use as low risk. On the other hand, some residents who smoke may violate the policy. Policy violations may result in financial strain and/or housing instability, which increases stress and reduces feelings of control, thus having the unintended consequence of increasing smoking. CONCLUSIONS: The CLD may be used to support stakeholder engagement in action planning and to identify non-traditional partners and approaches for tobacco control.

Urban-rural differences in tobacco product availability in food retailers, United States, 2017.

PURPOSE: Tobacco use prevalence is higher in rural compared to urban settings, possibly due to differences in tobacco availability, including the option to purchase food and other essential items in stores that do not sell tobacco (tobacco-free food retailers). The goal of this research is to determine whether tobacco-free food retailer availability varies by urbanicity/rurality. METHODS: Using the 2017 National Establishment Time-Series database, we identified food retailers across all census tracts containing food retailers in the United States (n = 66,053). We used multivariable logistic and linear regression models to test whether tobacco-free food retailer availability varied across 4-levels of census tract urbanicity/rurality (urban, suburban, large town, and small town/rural) for 2 outcomes: (1) the presence of at least 1 tobacco-free food retailer and (2) the percent of all food retailers that were tobacco-free. FINDINGS: Compared to urban core census tracts, suburban census tracts had a lower odds (aOR = 0.77, 95% CI = 0.73, 0.81) of having at least 1 tobacco-free food retailer, while small town/rural census tracts had greater odds (aOR = 1.23, 95% CI = 1.15, 1.32). Suburban census tracts (B = -2.29, P < .001) and large town census tracts (B = -1.90, P < .001) also had a lower percentage of tobacco-free food retailers compared to urban census tracts. CONCLUSIONS: Compared to urban cores, tobacco-free food retailers were less prevalent in suburban and large town areas, though similarly or slightly more available in rural areas. Future research should assess whether these differences depend on varying store types.

Excise Taxes as a Policy Lever for Reaching Healthy North Carolina 2030 Targets.

Excise taxes can raise the price of unhealthy products, reducing consumption and associated health risks and costs. Raising state excise taxes on tobacco, alcohol, and sugary drinks and allowing local governments to do the same are win-win strategies for achieving three Healthy North Carolina 2030 health behavior targets while increasing state revenues.

Draining the tobacco swamps: Shaping the built environment to reduce tobacco retailer proximity to residents in 30 big US cities.

Combining geospatial data on residential and tobacco retailer density in 30 big US cities, we find that a large majority of urban residents live in tobacco swamps - neighborhoods where there is a glut of tobacco retailers. In this study, we simulate the effects of tobacco retail reduction policies and compare probable changes in resident-to-retailer proximity and retailer density for each city. While measures of proximity and density at baseline are highly correlated, the results differ both between effects on proximity and density and across the 30 cities. Context, particularly baseline proximity of residents to retailers, is important to consider when designing policies to reduce retailer concentration.

Sociodemographic Disparities in Tobacco Retailer Density in the United States, 2000-2017.

INTRODUCTION: Studies find differences in tobacco retailer density according to neighborhood sociodemographic characteristics, raising issues of social justice, but not all research is consistent. AIMS AND METHODS: This study examined associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints (2000, 2007, 2012, and 2017) and investigated if associations remained stable over time. Data on tobacco retailers came from the National Establishment Time-Series Database. Adjusted log-linear models examined the relationship between retailer density and census tract sociodemographic characteristics (% non-Hispanic Black [Black], % Hispanic, % vacant housing units, median household income), controlling for percentage of youth, urbanicity, and US region. To examine whether the relationship between density and sociodemographic characteristics changed over time, additional models were estimated with interaction terms between each sociodemographic characteristic and year. RESULTS: Tobacco retailer density ranged from 1.22 to 1.44 retailers/1000 persons from 2000 to 2017. There were significant, positive relationships between tobacco retailer density and the percentage of Black (standardized exp(b) = 1.05 [95% CI: 1.04% to 1.07%]) and Hispanic (standardized exp(b) = 1.06 [95% CI: 1.05% to 1.08%]) residents and the percentage of vacant housing units (standardized exp(b) =1.08 [95% CI: 1.07% to 1.10%]) in a census tract. Retailer density was negatively associated with income (standardized exp(b) = 0.84 [95% CI: 0.82% to 0.86%]). From 2000 to 2017, the relationship between retailer density and income and vacant housing units became weaker. CONCLUSIONS: Despite the weakening of some associations, there are sociodemographic disparities in tobacco retailer density from 2000 to 2017, which research has shown may contribute to inequities in smoking. IMPLICATIONS: This study examines associations between tobacco retailer density and neighborhood sociodemographic characteristics in the United States at four timepoints from 2000 to 2017. Although some associations weakened, there are sociodemographic disparities in tobacco retailer density over the study period. Research suggests that sociodemographic disparities in retailer density may contribute to inequities in smoking. Findings from this study may help identify which communities should be prioritized for policy intervention and regulation.

Trends in the Number and Type of Tobacco Product Retailers, United States, 2000-2017.

INTRODUCTION: Tobacco product retailers provide access to tobacco products and exposure to tobacco marketing. Without a national tobacco retailer licensing system in the United States, there are no estimates of national trends in tobacco retailer numbers and store type over time. METHODS: We developed a protocol to identify likely tobacco retailers across the United States between 2000 and 2017 using industry codes and retailer names in the annual National Establishment Time Series (NETS) database. We calculated annual counts of tobacco retailers in seven store-type categories and annual numbers of tobacco retailers that opened and closed. RESULTS: We estimate that there were 317 492 tobacco product retailers in 2000; the number grew to 412 536 in 2009 before falling to 356 074 in 2017, for a net 12% increase overall. Gas/convenience stores and grocery stores accounted for more than two thirds of all retailers. On average, new openings accounted for 8.0% of the total retailers, whereas 7.3% of retailers closed or stopped selling tobacco each year, with stronger market volatility following the Great Recession. Since 2011, there was a disproportionate reduction in tobacco-selling pharmacies and an increase in both tobacco-specialty shops and tobacco-selling discount stores. CONCLUSIONS: During two decades when smoking declined, tobacco retailer availability increased in the United States. The economic climate, corporate and public policies, and new tobacco products may all contribute to trends in tobacco retailer availability. State and local jurisdictions considering tobacco retailer policies may find retailer trend information useful for forecasting or evaluating potential policy impacts. IMPLICATIONS: This study provides historic data tracking tobacco retailers in the United States between 2000 and 2017, documenting trends that unfolded as the general economic market contracted and grew, with greater regulation of the tobacco retailer environment. These data provide a context for better understanding future changes in the tobacco retailer market. In addition, the protocol established in this study could be applied in any US-based location without tobacco retailer licensing to allow identification of stores and tracking of trends.

Did the 2015 USPSTF Abnormal Blood Glucose Recommendations Change Clinician Attitudes or Behaviors? A Mixed-Method Assessment.

BACKGROUND: In 2015, the US Preventive Services Task Force (USPSTF) revised clinical recommendations to more broadly recommend abnormal blood glucose screening and more clearly recommend referral to behavioral interventions for adults with prediabetes. OBJECTIVE: To assess the effects of the 2015 USPSTF recommendation changes on abnormal blood glucose screening and referral to behavioral interventions, and to examine physicians' perceptions of the revised recommendation. DESIGN: We utilized a sequential, dependent mixed-methods triangulation design. PARTICIPANTS: A total of 33,444 patients meeting USPSTF abnormal blood glucose screening criteria within 15 health system-affiliated primary care practices and 20 primary care physicians in North Carolina. MAIN MEASURES: We assessed monthly abnormal blood glucose screening rate and monthly referral rate to behavioral interventions. To estimate trend changes in outcomes, we used segmented linear regression analysis of interrupted time-series data. We gathered physicians' perspectives on the 2015 USPSTF abnormal blood glucose recommendation including awareness of, agreement with, adoption of, and adherence to the recommendation. To analyze qualitative data, we used directed content analysis. KEY RESULTS: There was a slight significant change in trend in abnormal blood glucose screening rates post-recommendation. There was a slight, statistically significant decrease in referral rates to behavioral interventions post-recommendation. Physicians were generally unaware of the revisions to the 2015 USPSTF abnormal blood glucose recommendation; however, once the recommendations were described, physicians agreed with the screening recommendation but felt that the behavioral intervention referral recommendation was hard to implement. CONCLUSION: The 2015 USPSTF abnormal blood glucose guideline had little to no effect on abnormal blood glucose screening or referral to behavioral interventions in North Carolina practices. Potential interventions to improve these rates could include clinical decision tools embedded in the electronic health record and better referral systems for community-based diabetes prevention programs.

Neighborhood Inequities in Tobacco Retailer Density and the Presence of Tobacco-Selling Pharmacies and Tobacco Shops.

Studies document inequitable tobacco retailer density by neighborhood sociodemographics, but these findings may not be robust to different density measures. Policies to reduce density may be less equitable depending on how the presence of store types differs by neighborhood characteristics. We built a 2018 list of probable tobacco retailers in the United States and calculated four measures of density for all census tracts (N = 71,495), including total count, and number of retailers per 1,000 people, square mile, and kilometers of roadway. We fit multivariable regression models testing associations between each density measure and tract-level sociodemographics. We fit logistic regression models testing associations between sociodemographics and the presence of a tobacco-selling pharmacy or tobacco shop. Across all measures, tracts with a greater percentage of residents living below 150% of the federal poverty level (FPL) had higher density. A higher percentage of Black residents, Hispanic or Latino residents, and vacant housing was inconsistently associated with density across measures. Neighborhoods with a greater percentage of Black residents had a lower odds of having a pharmacy (adjusted odds ratio [aOR] = 0.96, 95% confidence interval [CI; 0.95, 0.97]) and tobacco shop (aOR = 0.87, CI [0.86, 0.89]), while those with a greater percentage of residents living below 150% FPL had greater odds of having a tobacco shop (aOR = 1.18, CI [1.16, 1.20]). Researchers and policymakers should consider how various measures of retailer density may capture different aspects of the environment. Furthermore, there may be an inequitable impact of retailer-specific policies on tobacco availability.

Sugar-Sweetened Beverage Pricing Policies: Simulation of Minimum Price Laws and Taxes in New York City.

INTRODUCTION: Minimum price laws, which set a price below which a product cannot be sold, are a promising but understudied strategy for reducing the consumption of sugar-sweetened beverages. New York City has implemented a minimum price law for tobacco products and could consider this policy for sugar-sweetened beverages. This study projects the impacts of a sugar-sweetened beverage minimum price law among New York City adults, with effects of a sugar-sweetened beverage excise tax examined for comparison. METHODS: In 2020-2021, a microsimulation model of dietary behaviors and body weight was developed using population-based survey data, research on responsiveness to and avoidance of price increases, and a validated weight change model. Analyses applied the model to simulate the impacts of implementing a minimum price law (8 or 10 cents/ounce price floors) or an excise tax (1 or 2 cents/ounce tax rates) on diet and body weight among New York City adults for more than 5 years. Sensitivity analyses varied assumptions about price responsiveness, caloric compensation, and avoidance. RESULTS: A sugar-sweetened beverage minimum price law with an 8 cents/ounce floor would reduce average sugar-sweetened beverage intake by 16.5 calories/day (95% uncertainty interval= -17.2, -15.8) and obesity prevalence by 0.86 percentage points (95% uncertainty interval= -1.03, -0.69). Benefits were similar for a minimum price law with a 10 cents/ounce floor and for 1 and 2 cents/ounce taxes (range of obesity reductions: -0.84 to -1.24 percentage points). Benefits persisted in sensitivity analyses and were larger for Black and Hispanic than for White and Asian adults and for adults with lower than for those with higher income. CONCLUSIONS: Excise taxes and minimum price laws for sugar-sweetened beverages could both reduce New York City adults' sugar-sweetened beverage consumption and obesity prevalence and narrow sociodemographic disparities in obesity.

Cheaper tobacco product prices at US Air Force Bases compared with surrounding community areas, 2019.

INTRODUCTION: In March 2017, the US Department of Defense (DoD) implemented a policy requiring all military stores to set tobacco prices equal to 'prevailing prices' in the 'local community' adjusted for state and local taxes. We compared tobacco product prices in a sample of retailers located on five Air Force Bases (AFBs) in Texas and Mississippi with those sold in nearby off-base stores. METHODS: We constructed a list of on-base and off-base tobacco retailers. Off-base retailers included stores that were located within a 1.5-mile road network service area from main AFB gates. Between July and September 2019, a trained auditor visited 23 on-base and 50 off-base retailers to confirm tobacco product sales, and documented the price of cigarettes and Copenhagen smokeless tobacco. For each area, the median price for each product, as well as the difference in median prices by on-base versus off-base status, was calculated. RESULTS: The median price of cigarettes and smokeless products was cheaper at on-base retailers. All products were cheaper at on-base stores in Fort Sam Houston and Lackland AFB. Similarly, all products were cheaper in on-base stores at Keesler AFB, with the exception of Marlboro Red packs ($0.22 more), and at Sheppard AFB with the exception of cheapest cigarette cartons ($6.26 more). CONCLUSION: Despite the implementation of the new DoD policy, tobacco products are cheaper in on-base retailers compared with off-base retailers. Refining of the definitions used and improved compliance with the new DoD policy are needed.

Associations of tobacco retailer density and proximity with adult tobacco use behaviours and health outcomes: a meta-analysis.

OBJECTIVE: We sought to conduct a systematic review and meta-analysis of evidence to inform policies that reduce density and proximity of tobacco retailers. DATA SOURCES: Ten databases were searched on 16 October 2020: MEDLINE via PubMed, PsycINFO, Global Health, LILACS, Embase, ABI/Inform, CINAHL, Business Source Complete, Web of Science and Scopus, plus grey literature searches using Google and the RAND Publication Database. STUDY SELECTION: Included studies used inferential statistics about adult participants to examine associations between tobacco retailer density/proximity and tobacco use behaviours and health outcomes. Of 7373 studies reviewed by independent coders, 37 (0.5%) met inclusion criteria. DATA EXTRACTION: Effect sizes were converted to a relative risk reduction (RRR) metric, indicating the presumed reduction in tobacco use outcomes based on reducing tobacco retailer density and decreasing proximity. DATA SYNTHESIS: We conducted a random effects meta-analysis and examined heterogeneity across 27 studies through subgroup analyses and meta-regression. Tobacco retailer density (RRR=2.55, 95% CI 1.91 to 3.19, k=155) and proximity (RRR=2.38, 95% CI 1.39 to 3.37, k=100) were associated with tobacco use behaviours. Pooled results including both density and proximity found an estimated 2.48% reduction in risk of tobacco use from reductions in tobacco retailer density and proximity (RRR=2.48, 95% CI 1.95 to 3.02, k=255). Results for health outcomes came from just two studies and were not significant. Considerable heterogeneity existed. CONCLUSIONS: Across studies, lower levels of tobacco retailer density and decreased proximity are associated with lower tobacco use. Reducing tobacco supply by limiting retailer density and proximity may lead to reductions in tobacco use. Policy evaluations are needed.

Sociodemographic inequities in tobacco retailer density: Do neighboring places matter?

We apply a spatial perspective to measure the extent to which the 2018 U.S. racial, ethnic, and socioeconomic composition of census tracts were each associated with tobacco retailer density within a tract and in its neighboring tracts (n = 71,409). A 10-percentage point increase in the Black population was associated with 0.07 (p < 0.05) more retailers per square mile within a focal tract and 0.35 (p < 0.001) more retailers per square mile in its neighbors on average. A greater percent of Hispanic/Latino residents was associated with more retailers per square mile, both within a focal tract (b = 0.95, p < 0.001) and in its neighbors 0.39 (p < 0.001). Inverse associations were observed for percent white. We also observed inequities by socioeconomic status. The overall magnitude of inequities may be underestimated if the spatial dependence between focal tracts and their neighbors are not taken into consideration. Policymakers should prioritize interconnected geographic areas experiencing high racialized and socioeconomic segregation when designing and implementing policies to reduce retail tobacco product availability.

Associations of County Tobacco Retailer Availability With U.S. Adult Smoking Behaviors, 2014-2015.

INTRODUCTION: Greater availability of tobacco product retailers in an area may be associated with smoking behaviors, and the majority of people who smoke purchase their cigarettes at gas stations and convenience stores. This cross-sectional study investigates the associations of overall tobacco retailer density and gas/convenience density with adult smoking behaviors. METHODS: This study built a list of tobacco retailers in 2014 and calculated the county-level number of retailers per 1,000 people. Individual-level smoking behavior data were drawn from the 2014-2015 Tobacco Use Supplement for a sample of adults (n=88,850) residing in metropolitan counties across the U.S. General estimating equation models were fit to investigate the associations between retailer density and cigarette smoking behaviors (smoking status, quit attempt, quit length). Analyses were conducted in 2020. RESULTS: A greater number of tobacco retailers (AOR=1.63, 95% CI=1.35, 1.96) and gas stations and convenience stores (AOR=3.29, 95% CI=2.39, 4.52) per 1,000 people were each associated with a higher odds of a respondent smoking every day than the odds of a respondent not smoking. In addition, both measures were associated with a higher odds of a respondent being an every-day than being a some-day smoker. Associations for gas/convenience density were similar in models that additionally controlled for other tobacco retailers (excluding gas/convenience). Study results did not support associations between retailer density and cessation. CONCLUSIONS: Tobacco retailer density, especially gas/convenience density, is correlated with daily smoking, the most harmful tobacco use behavior. Calculating tobacco retailer density using gas/convenience stores may be a feasible proxy for overall tobacco retailer density.

Race and gender differences in abnormal blood glucose screening and clinician response to prediabetes: A mixed-methods assessment.

The projected three-fold increase in diabetes burden by 2060 in the United States will affect certain race and gender groups disproportionately. The objective of this mixed-methods study was to assess differences in prediabetes screening and clinician response to prediabetes by patient race and gender. We utilized data from 18,742 patients seen between 11/1/15 and 4/30/17 who met criteria for blood glucose screening by the 2015 US Preventive Service Task Force recommendation and had at least one visit to a primary care practice within a large, academic health system located in North Carolina. We utilized generalized estimating equations with logistic regression to assess race and gender differences in two outcomes: prediabetes screening and clinician response to prediabetes. We conducted twenty in-depth interviews (October 2018-May 2019) with physicians to assess their approach to screening for and treating prediabetes. Black patients had 11% higher odds (95% CI:1.02-1.20) of being screened for prediabetes than White patients. Men had 19% higher odds (95% CI:1.09-1.30) of being screened for prediabetes than women. There were no significant differences in clinician response to prediabetes by patient race or gender. Qualitatively, physicians reported a non-systematic approach to prediabetes screening and follow-up care related to: 1) System-level barriers to screening and treatment; 2) Implicit bias; 3) Patient factors; and 4) Physician preferences for prediabetes treatment. Targeted risk-based screening for prediabetes along with increased treatment for prediabetes are critical for preventing diabetes and reducing diabetes-related disparities.

Message framing to inform cancer prevention pricing interventions in the UK and USA: a factorial experiment, 2019.

OBJECTIVES: To advance understanding of how message framing can be used to maximise public support across different pricing policies for alcohol, tobacco and sugary drinks/foods that prevent consumption of cancer-causing products. DESIGN: We designed a 3×4×3 randomised factorial experiment to test responses to messages with three pricing policies, four message frames and three products. SETTING: Online survey panel (Qualtrics) in 2019. PARTICIPANTS: Adults (N=1850) from the UK and USA. INTERVENTIONS: Participants randomly viewed one of 36 separate messages that varied by pricing policy (increasing taxes, getting rid of price discounts, getting rid of low-cost products), four frames and product (alcohol, tobacco, sugary drinks/foods). PRIMARY AND SECONDARY OUTCOME MEASURES: We assessed the relationship between the message characteristics and four dependent variables. Three were related to policy support: (1) increasing taxes on the product mentioned in the message, (2) getting rid of price discounts and special offers on the product mentioned in the message and (3) getting rid of low-cost versions of the product mentioned in the message. One was related to reactance, a psychological response to having one's freedom limited. RESULTS: We found no effect for pricing policy in the message. Frames regarding children and reducing cancer risk moderated some outcomes, showing promise for real-world use. We found differences in support by product and reactance with greatest support and least reactance for tobacco policies, less support and more reactance for alcohol policies, and the least support and most reactance for sugary drinks/foods policies. CONCLUSIONS: Cancer prevention efforts using policy interventions can be informed by the message framing literature. Our results offer insights for cancer prevention advocacy efforts across the UK and USA and highlight that tax versus non-tax approaches to increasing the cost of cancer-causing products result in similar responses from consumers.

Associations of tobacco retailer availability with chronic obstructive pulmonary disease related hospital outcomes, United States, 2014.

There are associations between tobacco retailer density and smoking behaviors, but little is known about whether places with more tobacco retailers have more smoking-related health problems. Using cross-sectional data from 2014, we investigated the relationships between tobacco retailer density and chronic obstructive pulmonary disease (COPD) related outcomes in a sample of 1510 counties across the United States. Higher retailer density was associated with a 19% (IRR, 1.19; 95% CI, 1.12-1.27) higher COPD-related hospital discharge rate and 30% (IRR, 1.30; 95% CI 1.21-1.39) higher total COPD-related hospital costs per population. The tobacco retailer environment may be an important target for reducing smoking-related health burdens and costs.

E-cigarette availability, price promotions and marketing at the point-of sale in the contiguous United States (2014-2015): National estimates and multilevel correlates.

Electronic cigarette (e-cigarette) sales and use have increased rapidly, yet point-of-sale e-cigarette availability and marketing is understudied. We estimated changes in e-cigarette availability and marketing among tobacco retailers in the U.S., and associations with neighborhood characteristics. A national sample of tobacco retailers in the Contiguous U.S. was audited in 2014 and 2015 (n = 1,905 and n = 2,126, respectively) to observe e-cigarette availability and marketing (signs, ads, displays and promotions) and generate national prevalence estimates. Store, neighborhood and state level correlates of 2015 e-cigarette availability, price promotions and exterior advertising were analyzed using multilevel mixed-effects generalized linear models. E-cigarettes were sold at 72.0% of retailers in 2014 and at 79.2% in 2015. Price promotions increased from 11.9% to 20.2% of retailers. Among retailers that did not previously sell e-cigarettes in 2012, availability in 2015 was greater for retailers in neighborhoods with the highest proportion of Black residents (vs. lowest). E-cigarette price promotions were more prevalent in neighborhoods with more Hispanic residents, while exterior e-cigarette marketing was more prevalent in neighborhoods with more Black residents. State smoking prevalence was positively associated with e-cigarette availability, promotions and advertising. E-cigarette point-of-sale availability and marketing increased between 2014 and 2015 and expanded to neighborhoods with a higher proportion of Black residents between 2012 and 2015. Retailers located within states with high smoking prevalence appear to be targeted by e-cigarette marketing. As e-cigarettes become the target of more regulations, understanding changes in the e-cigarette retail environment is critical to inform potential policies regulating their sale and marketing.