Comparison of the nutritional composition and calculated Nutri-score classifications of the Dutch food retail supply in 2018 and 2020.

OBJECTIVE: In the Netherlands, reformulation strategies have been established for several years, whereas Nutri-Score was implemented in 2024. Besides being a helpful tool for consumers to make healthier food choices, Nutri-Score also aims to stimulate food reformulation by food manufacturers. The present study investigates whether changes in food composition could have led to different calculated Nutri-Score classifications. DESIGN: Food compositions and Nutri-Score classifications were calculated using the updated Nutri-Score algorithm. Food groups with the largest change in the distribution of Nutri-Score classifications were analysed in-depth by plotting frequency distributions and calculating median contents for nutrient contents that relatively changed the most in 2020. SETTING: Food composition data were available from the Dutch Branded Food database in 2018 (n 38 295) and 2020 (n 48 091). PARTICIPANTS: Not applicable. RESULTS: In general, median nutrient contents and calculated Nutri-Score classifications were similar for 2018 and 2020. The median sugar and SFA contents were lower for some food groups (e.g. breakfast cereals, meat preserves, sweets and sweet goods) in 2020 compared to 2018. The median SFA content for meat preserves and sweets and sweet goods was relatively low in Nutri-Score classification A ascending towards higher median content in Nutri-Score classification E. CONCLUSIONS: Although food reformulation was not substantial in the Dutch food retail supply in 2018 and 2020, some differences in Nutri-Score classifications were observed. When implemented, Nutri-Score may encourage food manufacturers to increase their reformulation efforts. Repeated monitoring of food compositions and Nutri-Score classifications is recommended to establish reformulation efforts by food manufacturers.

Using spatial analysis to examine inequalities and temporal trends in food retail accessibility.

OBJECTIVE: In this paper, we examined whether there are inequalities in access to food retail (by type and healthiness) across local government areas (LGA) in Greater Melbourne and by LGA grouped based on their distance from the central business district and Growth Area designation. We also examined whether these inequalities persisted over time. DESIGN: This is a secondary analysis of a repeated cross-sectional census of food outlets collected at four time points (2008, 2012, 2014 and 2016) across 31 LGA. Using Geographical Information Systems, we present a spatial analysis of food retail environments in Melbourne, Australia, at these four times over eight years. SETTING: Greater Melbourne, Australia. PARTICIPANTS: 31 LGA in Greater Melbourne. RESULTS: Findings show significant inequalities in access to healthy food retail persisting over time at the LGA level. Residents in lower density urban growth areas had the least access to healthy food retail. Unhealthy food retail was comparatively more accessible, with a temporal trend indicating increased accessibility over time in urban growth areas only. CONCLUSION: Accessibility to food outlets, particularly healthy food outlets and supermarkets, in Greater Melbourne is not equal. To identify and address health inequalities associated with rapid urban growth, further understanding of how people interact with the food environment needs to be explored.

Association of Local Cannabis Policy and Retail Availability With Cannabis Use and Problematic Cannabis Use Among Adolescents in Northern California.

Objectives. To examine whether local cannabis policies and retail availability are associated with cannabis use and problematic cannabis use (PCU) among adolescents in Northern California. Methods. The sample comprised adolescents aged 13 to 17 years screened for past-year cannabis use during well-child visits in 2021. Exposures included local bans on cannabis storefront retailers, policy protectiveness, and retail proximity and density. Outcomes included self-reported past-year cannabis use and PCU diagnoses. Modified Poisson regression models adjusted for sociodemographics. Results. The sample (n = 103 134) was 51.1% male with a median age of 15 years (interquartile range [IQR] = 14-16 years); 5.5% self-reported cannabis use, and 0.3% had diagnosed PCU. Adolescents had a lower prevalence of cannabis use in jurisdictions that banned storefront retailers (adjusted prevalence rate [APR] = 0.857; 95% confidence interval [CI] = 0.814, 0.903 vs allowed), banned delivery (APR = 0.751; 95% CI = 0.710, 0.795 vs allowed), or had more policy protections (APR range = 0.705-0.800). Lower PCU prevalence was also found among those in jurisdictions that banned (vs allowed) storefront retailers (APR = 0.786; 95% CI = 0.629, 0.983) or delivery (APR = 0.783; 95% CI = 0.616, 0.996). Longer drive time and lower density of storefront retailers were associated with a lower cannabis use prevalence. Conclusions. More protective cannabis policies and less retail availability were associated with a lower prevalence of adolescent cannabis use and PCU. (Am J Public Health. 2024;114(S8):S654-S663. https://doi.org/10.2105/AJPH.2024.307787).

Database of twitter influencers in cryptocurrency (2021-2023) with sentiments.

OBJECTIVES: With the expansion of social networks such as Twitter, many experts share their opinions on various topics. The opinions of experts, who are also known as influencers, can be very influential. Combining these tweets and the historical prices of cryptocurrencies makes it possible to predict their price trends accurately. A Hybrid of RoBERTa deep neural network and BiGRU has been used for Sentiment Analysis (SA). Sentiments of tweets can be of great help to investors to understand the future behavior of the market and manage the stock portfolio. Unlike the tweets that are only extracted using the cryptocurrency name hashtag, the tweets of this dataset have specialized opinions and can determine the market trend. DATA DESCRIPTION: The dataset created in this research concerns the opinions of more than 52 influencers (persons or companies) regarding eight cryptocurrencies. This dataset was collected through the Apify Twitter API for eight months, from February 2021 to June 2023. This dataset contains five Excel files and tweets, compound score, importance coefficient of each tweet, sentiment polarity, and historical prices of four cryptocurrencies: Bitcoin, Ethereum, Binance, and other information. These tweets cover the opinions of 52 influencers on more than 300 cryptocurrencies, although most comments are related to Bitcoin, Ethereum, and Binance. For this reason, three Excel files containing the historical prices of polarity and compound sentiment related to Bitcoin, Ethereum, and Binance cryptocurrencies have been placed separately in the dataset. The polarity of sentiment in these Excel shows the maximum number of polarities by applying the importance coefficient, which determines the dominant polarity of sentiment related to a particular day for the cryptocurrency.

Disclosure of mandatory and voluntary nutrition labelling information across major online food retailers in the USA.

OBJECTIVE: Nutrition labelling is mandatory on food products in retail stores, but compliance in the rapidly expanding online setting remains unclear. We assessed mandatory and voluntary labelling information across major U.S. online retailers. DESIGN: Between January and August 2022, we evaluated a representative basket of sixty food and beverage items across eight product categories of ten major retailers. We evaluated online presence, accessibility and legibility of four mandatory elements - Nutrition Facts, ingredients, allergen statements and percent juice for fruit drinks - and presence of seven voluntary elements - nutrient content claims, health/qualified health claims, ingredient claims, structure-function claims, additive claims, front-of-package nutrient profiling symbols and other marketing claims. SETTING: Major online food retailers in the USA. PARTICIPANTS: N/A. RESULTS: On average, each mandatory element was present, accessible and legible for only 35·1 % of items, varying modestly by element (from 38·3 % for ingredients lists to 31·5 % for Nutrition Facts) but widely by retailer (6·6-86·3 %). Voluntary elements were present for 45·8 % of items, ranging from 83·7 % for marketing claims to 2·0 % for structure-function claims. Findings were generally consistent across the eight product categories. Voluntary elements were more frequently present than accessible and legible mandatory elements for six of ten retailers and seven of eight product categories. CONCLUSIONS: Mandatory nutrition label elements are not commonly present, accessible and legible in online retail settings and are less consistently present than marketing elements. Coordinated industry and regulatory actions may be needed to ensure consumers can access mandatory nutrition information to make healthy and safe food choices online.

Cannabis-Derived Product Types, Flavors, and Compound Types From an E-Commerce Website.

Importance: Cannabis-derived products (CDPs) are widely available and diverse. A classification of product and flavor types is necessary to establish a foundation for comparative research, although research aiming to classify cannabis in its variety of products, flavors, and cannabinoid compounds based on public online e-commerce data is lacking. Objective: To analyze data from a large cannabis e-commerce marketplace to identify and characterize cannabis product types, flavors, and compound types. Design, Setting, and Participants: This qualitative study was conducted in 2 phases: (1) data mining of the cannabis e-commerce website Weedmaps for product listings in the US between September 1 and November 30, 2023 and (2) grouping CDPs into product, flavor, and cannabinoid compound categories. Exposures: Cannabis product listings. Main Outcomes and Measures: Product listings and descriptions were extracted from the platform. Coding was performed for specific product characteristics, routes of administration (ROAs), and characterization of flavors. Results: A total of 573 854 unique US CDP sales listings from the platform were collected; after removing 72 842 nonconsumable items, 501 012 were analyzed. Product ROAs included multisystem (205 637 [41.04%]), respiratory (185 296 [36.98%]), digestive (98 941 [19.75%]), epidermal (9487 [1.89%]), and oral (1651 [0.33%]). Nearly half (210 575 [42.03%]) of all product listings included at least 1 flavor, with 247 762 instances of flavors. The 3 most common flavors were lemon (22 106 [8.92%]), cake (19 463 [7.86%]), and strawberry (13 961 [5.63%]). The most common cannabinoid compound type was Δ9-tetrahydrocannabinol (54 699 [63.30%]). Conclusions and Relevance: This qualitative study categorized more than half a million CDPs for product and flavor types. Results are needed for comparative studies on product and market availability and can help in assessing concerns about appealing characteristics. The results can also inform future market surveillance efforts aimed at identifying new and emerging products as cannabis policy continues to move toward greater legalization.

Places to purchase food in urban and rural areas of Brazil.

OBJECTIVE: To describe the locations of food and beverage acquisition in Brazil, according to the level of food processing and household location (urban/rural). METHODS: Data from 49,489 households from the Household Budget Survey 2017-2018 were used. Information regarding food and beverages was collected through a collective acquisition booklet over 7 consecutive days. Locations were classified into 10 groups on the basis of similarities in sales structure and mode of food offering, and food and beverages were categorized according to the NOVA classification. The frequency of households acquiring food in each location was estimated, as well as the acquisition frequency according to processing level, considering significance through non-overlapping 95% confidence intervals. RESULTS: Half of the households (51.9%) acquired food in supermarkets, contributing to both the acquisition of fresh and minimally processed foods (92.2% in urban; 90.2% in rural) and ultra-processed foods (78.6% in urban; 74.1% in rural). For the urban area, the Supermarket (55.0%), Bakery (46.5%) and Small markets (43.1%) are among the places with the highest frequency of food acquisition, while for rural areas, it is found that Small Markets (53%), Supermarkets (32.3%) and Home production (31.0%) presented the highest frequencies. CONCLUSION: The acquisition of food and beverages for household consumption in Brazil differs according to household location (urban/rural), indicating the importance of the community food environment in the consumption patterns of ultra-processed foods.

Risk of SARS-CoV-2 infection in professional settings, shops, shared transport, and leisure activities in France, 2020-2022.

PURPOSE: The aim of the study was to identify settings associated with SARS-CoV-2 transmission throughout the COVID-19 pandemic in France. METHODS: Cases with recent SARS-CoV-2 infection were matched with controls (4:1 ratio) on age, sex, region, population size, and calendar week. Odds ratios for SARS-CoV-2 infection were estimated for nine periods in models adjusting for socio-demographic characteristics, health status, COVID-19 vaccine, and past infection. RESULTS: Between October 27, 2020 and October 2, 2022, 175,688 cases were matched with 43,922 controls. An increased risk of infection was documented throughout the study for open-space offices compared to offices without open space (OR range across the nine periods: 1.12 to 1.57) and long-distance trains (1.25 to 1.88), and during most of the study for convenience stores (OR range in the periods with increased risk: 1.15 to 1.44), take-away delivery (1.07 to 1.28), car-pooling with relatives (1.09 to 1.68), taxis (1.08 to 1.89), airplanes (1.20 to 1.78), concerts (1.31 to 2.09) and night-clubs (1.45 to 2.95). No increase in transmission was associated with short-distance shared transport, car-pooling booked over platforms, markets, supermarkets and malls, hairdressers, museums, movie theatres, outdoor sports, and swimming pools. The increased risk of infection in bars and restaurants was no longer present in restaurants after reopening in June 2021. It persisted in bars only among those aged under 40 years. CONCLUSION: Closed settings in which people are less likely to wear masks were most affected by SARS-CoV-2 transmission and should be the focus of air quality improvement. CLINICALTRIALS: GOV (03/09/2022): NCT04607941.

Sickness absence after work accidents and post-traumatic stress among white-collar workers in the retail and wholesale industry; a longitudinal Swedish cohort study.

BACKGROUND: Most studies about accidents and about PTSD, respectively, have been conducted either on blue-collar workers, or on the entire working population. There are very few such studies on white-collar workers. AIM: To examine diagnosis-specific sickness absence (SA) and disability pension (DP) after a work accident or PTSD, respectively, among white-collar workers in the private retail and wholesale industry. METHODS: A prospective population-based cohort study of all 192,077 such workers aged 18-67 (44% women) in Sweden in 2012, using linked microdata from nationwide registers. We identified individuals who had secondary healthcare due to work-related accidents (n = 1114; 31% women) or to PTSD (n = 216; 79% women) in 2012-2016. Their average number of net days of diagnosis-specific SA (in SA spells > 14 days) and DP were calculated for 365 days before and 365 days after the healthcare visit. RESULTS: 35% of the women and 24% of the men had at least one new SA spell during the 365 days after healthcare due to work accidents. Among women, the average number of SA/DP days increased from 14 in the year before the visit to 31 days the year after; among men from 9 to 21 days. SA days due to fractures and other injuries increased most, while SA days due to mental diagnoses increased somewhat. 73% of women and 64% of men who had healthcare due to PTSD had at least one new SA spell in the next year. Women increased from 121 to 157 SA/DP days and men from 112 to 174. SA due to stress-related disorders and other mental diagnoses increased the most, while DP due to stress-related diagnoses and SA due to musculoskeletal diagnoses increased slightly. CONCLUSIONS: About a quarter of those who had secondary healthcare due to work accidents, and the majority of those with such healthcare due PTSD, had new SA in the following year. SA due to injury and mental diagnoses, respectively, increased most, however, SA/DP due to other diagnoses also increased slightly. More knowledge is needed on factors associated with having or not having SA/DP in different diagnoses after work accidents and among people with PTSD.

Assessing the global prevalence of wild birds in trade.

Trade represents a significant threat to many wild species and is often clandestine and poorly monitored. Information on which species are most prevalent in trade and potentially threatened by it therefore remains fragmentary. We used 7 global data sets on birds in trade to identify species or groups of species at particular risk and assessed the extent to which they were congruent in terms of the species recorded in trade. We used the frequency with which species were recorded in the data sets as the basis for a trade prevalence score that was applied to all bird species globally. Literature searches and questionnaire surveys were used to develop a list of species known to be heavily traded to validate the trade prevalence score. The score was modeled to identify significant predictors of trade. Although the data sets sampled different parts of the broad trade spectrum, congruence among them was statistically strong in all comparisons. Furthermore, the frequency with which species were recorded within data sets was positively correlated with their occurrence across data sets, indicating that the trade prevalence score captured information on trade volume. The trade prevalence score discriminated well between species identified from semi-independent assessments as heavily or unsustainably traded and all other species. Globally, 45.1% of all bird species and 36.7% of globally threatened bird species had trade prevalence scores ≥1. Species listed in Appendices I or II of CITES, species with large geographical distributions, and nonpasserines tended to have high trade prevalence scores. Speciose orders with high mean trade prevalence scores included Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes, and Strigiformes. Despite their low mean prevalence score, Passeriformes accounted for the highest overall number of traded species of any order but had low representation in CITES appendices. Geographical hotspots where large numbers of traded species co-occur differed among passerines (Southeast Asia and Eurasia) and nonpasserines (central South America, sub-Saharan Africa, and India). This first attempt to quantify and map the relative prevalence in trade of all bird species globally can be used to identify species and groups of species that may be at particular risk of harm from trade and can inform conservation and policy interventions to reduce its adverse impacts.

Análisis de la prevalencia mundial de aves silvestres en el mercado Resumen El mercado representa una amenaza importante para muchas especies silvestres y a menudo es clandestino y mal vigilado. Por ello, la información sobre las especies más presentes en el mercado y bajo amenaza potencial todavía está fragmentada. Utilizamos siete conjuntos de datos mundiales sobre aves comercializadas para identificar especies o grupos de especies bajo riesgo especial y evaluamos hasta qué punto eran congruentes en cuanto a las especies registradas en el comercio. Utilizamos la frecuencia con la que las especies se registraban en los conjuntos de datos como base para una puntuación de prevalencia del comercio que se aplicó a todas las especies de aves a nivel mundial. Para validar la puntuación de prevalencia del comercio, realizamos búsquedas bibliográficas y cuestionarios para elaborar una lista de especies que se sabe son objeto de comercio intenso. Modelamos la puntuación para identificar los predictores significativos del mercado. Aunque los conjuntos de datos muestrearon partes distintas del amplio espectro del mercado, la congruencia entre ellos fue estadísticamente robusta en todas las comparaciones. Además, la frecuencia con la que se registraron las especies dentro de los conjuntos de datos se correlacionó positivamente con su presencia en todos los conjuntos de datos, lo que indica que la puntuación de prevalencia del mercado captó información sobre el volumen de este. La puntuación de prevalencia del mercado distinguió entre las especies identificadas a partir de evaluaciones semiindependientes como objeto de comercio intenso o insostenible y todas las demás especies. A nivel mundial, el 45.1% de todas las especies de aves y el 36.7% de las especies de aves amenazadas mundialmente tenían puntuaciones de prevalencia del mercado ≥1. Las especies incluidas en los Apéndices I o II de CITES, las especies con una amplia distribución geográfica y los no paseriformes tendieron a tener puntuaciones elevadas de prevalencia del mercado. Los órdenes de especies con puntuaciones medias de prevalencia del mercado elevadas fueron Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes y Strigiformes. A pesar de su baja puntuación media de prevalencia, los Passeriformes representaron el mayor número total de especies comercializadas de todos los órdenes, pero tuvieron una baja representación en los apéndices de CITES. Los puntos calientes geográficos en los que coexisten un gran número de especies comercializadas difieren entre los paseriformes (Sudeste Asiático y Eurasia) y los no paseriformes (centro de Sudamérica, África subsahariana e India). Este primer intento de cuantificar y cartografiar la prevalencia relativa en el comercio de todas las especies de aves a escala mundial puede utilizarse para identificar especies y grupos de especies que pueden correr un riesgo especial de sufrir daños a causa del comercio y puede servir de base para intervenciones políticas y de conservación destinadas a reducir sus efectos adversos.

Globalization of wild capture and farmed aquatic foods.

Aquatic foods are highly traded, with nearly 60 million tonnes exported in 2020, representing 11% of global agriculture trade by value. Despite the vast scale, basic characteristics of aquatic food trade, including species, origin, and farmed vs wild sourcing, are largely unknown due to the reporting of trade data. Consequently, we have a coarse picture of aquatic food trade and consumption patterns. Here, we present results from a database on species trade that aligns production, conversion factors, and trade to compute apparent consumption for all farmed and wild aquatic foods from 1996 to 2020. Over this period, aquatic foods became increasingly globalized, with the share of production exported increasing by 40%. Importantly, trends differ across aquatic food sectors. Global consumption also increased by 19.4% despite declining marine capture consumption, and some regions became increasingly reliant on foreign-sourced aquatic foods. To identify sustainable diet opportunities among aquatic foods, our findings, and underlying database enable a greater understanding of the role of trade in rapidly evolving aquatic food systems.

US trade policy and public health: heterogeneous effects from the North American Free Trade Agreement.

OBJECTIVE: To investigate the causal link between the North American Free Trade Agreement (NAFTA) unrestricted sugar trade agreement signed in 2008 between the USA and Mexico and the diabetes prevalence across all fifty US states. DESIGN: A quasi-experimental research design to investigate the causal effect of the NAFTA unrestricted sugar trade agreement on diabetes prevalence. Our study utilises a comprehensive panel dataset spanning from 2000 to 2016, comprising 1054 observations. To conduct our analysis, we applied both the difference-in-differences and event-study methodologies. SETTING: All the states in the USA. PARTICIPANTS: The fifty states in the USA. RESULTS: After the enactment of the NAFTA sugar trade agreement between the USA and Mexico in 2008, most states witnessed an increase in diabetes prevalence. The annual impacts displayed significant variation among states, with percentage increases spanning from 0·50 to 2·28 %. CONCLUSIONS: States with a higher percentage of their population living below the poverty line, a larger Black resident population and a lower proportion of high school graduates had more significant increases in diabetes prevalence attributed to the NAFTA sugar trade agreement.

Short- and long-term impacts of the National Essential Medicines Policy on drug availability, price, and usage in a deprived rural county in southwestern China: an interrupted time series analysis across 8 years.

Background: China's National Essential Medicines Policy (NEMP) has been implemented for over 15 years; yet empirical evidence on its long-term impacts is lacking, particularly in remote and rural regions. This study aims to assess the short-and long-term effects of NEMP on the drug availability, price, and usage in a deprived rural county in southwestern China. Methods: A quasi-experimental design was employed, featuring a single-group pre-and-post comparison. We gathered 74,436 procurement records spanning from 2009 to 2016 from the drug warehouses of local medical institutions. Pharmaceutical data were analyzed quarterly, considering various policy and therapeutic attributes. Fisher's Drug Price Index (DPI-F) was calibrated for the retail and wholesale prices of a consistent collection of 405 medications. We conducted interrupted time-series analysis to examine the immediate and enduring impacts of NEMP's initial (commencing in January 2011) and second (starting from December 2015) stages. Results: After initiation of NEMP, the number of available essential medicines surged by 115 but subsequently faced a steady quarterly decline (-9.1) in township healthcare centers (THCs, primary care). Conversely, county hospitals (secondary care) initially saw a reduction of 40 in drug availability but later exhibited a steady increase (+4.2 per quarter) up to the second-stage NEMP. Regarding price, THCs encountered abrupt (-26.1%/-15.9% in retail/wholesale price) and sustained (-0.2%/-0.3% per quarter) price drops after NEMP. The immediate price change after NEMP in county hospitals were milder but significant in non-essential medicines, and long-term declines were also observed in all drugs. As for total sales, a significant long-term disparity emerged between THCs (+0.9% per quarter) and county hospitals (+3.3% per quarter). Following the second-stage NEMP, retail prices in county hospitals further decreased, although wholesale prices did not; however, following price upward trends were observed in both THCs and county hospitals. Lastly, the influences of NEMP varied across different therapeutical categories of medicines. Conclusion: NEMP has successfully regulated drug prices in primary and secondary healthcare facilities in remote and rural areas, both short-term and long-term. However, a remarkable disparity in medicine availability and utilization was observed between different levels of facilities over time. Continuous monitoring is essential, with increased attention needed on the uneven impacts of the policy on diverse drugs, facilities, regions, and demographics.

Regional price differences of medical services: evidence from China.

BACKGROUND: Price levels of medical services may vary across regions with different income levels, which would raise concerns about the equal access to medical services. This study aimed to estimate the spatial price index of medical services to measure price levels across 31 provincial regions in China. METHODS: Price data were collected from medical service price schedule in each region. Two methods based on the Purchasing Power Parities were used to estimate the spatial price index and measure price differences across regions. The two-way fixed effects models were used to examine the association between medical service price levels and income levels, and further investigate the impacts of price differences on utilization of medical services and medical expenditure. RESULTS: The consistent estimation results were given by two methods. Medical service price level in the highest-price region was found to be 74% higher than the lowest. There was a significant negative correlation between price levels and income levels, as well as price levels and the utilization of outpatient services. Moreover, we also found a 1% increase in medical service price level was significantly associated with a 0.34% and 0.24% increase in the medical service expense per outpatient visit and per inpatient respectively. CONCLUSIONS: Regions in China had significant gaps in medical service price levels. Policymakers should pay more attention to regional price differences and take great measures such as enhancing financial protection to ensure the equal access to medical services and better achieve the universal health coverage.

Exploring the sugar-sweetened beverage tax (SSBT) pass-through rate in the Irish hospitality sector.

BACKGROUND: The World Health Organization (WHO) supports the use of Sugar-Sweetened Beverage Taxes (SSBTs) as a fiscal lever to help reduce sugar consumption and tackle obesity. Obesity is associated with a range of adverse health outcomes. In response to increasing levels of obesity in Ireland, an SSBT was introduced in 2018. Previous research in Ireland has noted that the pass-through rate of the SSBT in retail (off-site consumption) settings was poor. However, to date, no research has examined the SSBT pass-through rate in hospitality (on-site consumption) venues in Ireland. METHODS: This research examines the SSBT pass-through rate on Coca-Cola versus diet versions of Coca-Cola in a convenience sample of 100 hospitality venues in two provincial Irish cities. RESULTS: Wilcoxon signed rank test analysis revealed that regular Coca-Cola was significantly more expensive compared to the price charged for diet versions of Coca-Cola. However, in 85.6% of cases the same price was charged for both full-sugar and sugar-free drinks. The mean pass-through rate of the SSBT was 33.8%. CONCLUSION: The effective functioning of the SSBT is premised on persistent price differences between soft drink prices based on sugar content. However, this is barely evident in the hospitality sector in Ireland. A number of recommendations are suggested, including both increasing the SSBT, and increasing it annually in line with inflation.

Cigarette Sales to Underage Youth in Seoul, South Korea: Findings From a Mystery Shopping Study.

This study aimed to identify the rates of cigarette sales to underage youth and the factors associated with these sales using a mystery shopping technique. Of the convenience stores selling cigarettes in Seoul, South Korea, 2600 were sampled in 2019 and 2020. Personal and environmental factors were independent variables. Cigarette sales to underage youth were the outcome variable, defined as cases where a seller sold cigarettes to a youth shopper. A multiple logistic regression analysis was performed. Rates of cigarette sales to underage youth were 17.9% in 2019 and 16.3% in 2020, significantly higher when the seller was younger and the store was located in a central area. Administrative actions are needed to enforce strong warnings and training guidelines for convenience store sellers. Differentiation in surveillance intensity based on the location of convenience stores in Seoul is also recommended.

Food Environment After Implementation of a Healthy Checkout Policy.

Importance: In March 2021, Berkeley, California, became the world's first jurisdiction to implement a healthy checkout policy, which sets nutrition standards for foods and beverages in store checkouts. This healthy checkout ordinance (HCO) has the potential to improve customers' dietary intake if stores comply by increasing the healthfulness of foods and beverages at checkouts. Objectives: To compare the percentage of checkout products that were HCO compliant and that fell into healthy and unhealthy food and beverage categories before and 1 year after HCO implementation in Berkeley relative to comparison cities. Design, Setting, and Participants: In this cohort study in which Berkeley implemented an HCO and other cities did not, a difference-in-differences analysis was conducted of 76 258 product facings at checkouts of 23 stores in Berkeley and 75 stores in 3 comparison cities in California. Data were collected in February 2021 (approximately 1 month before implementation of the HCO) and 1 year later in February 2022 and analyzed from October 2023 to May 2024. Exposure: The HCO, which permits only the following products at checkouts in large food stores: nonfood and nonbeverage products, unsweetened beverages, and foods with 5 g or less of added sugars per serving and 200 mg or less of sodium per serving in the following categories: sugar-free gum and mints, fruit, vegetables, nuts, seeds, legumes, yogurt or cheese, and whole grains. Main Outcomes and Measures: A product facing's (1) HCO compliance and (2) category, including healthy compliant categories and unhealthy noncompliant categories, determined using a validated photograph-based tool to assess product characteristics. Results: Of the 76 258 product facings at store checkouts, the percentage that were HCO compliant increased from 53% (4438 of 8425) to 83% (5966 of 7220) in Berkeley, a 63% increase relative to comparison cities (probability ratio [PR], 1.63; 95% CI, 1.41-1.87). The percentage of food and beverage checkout facings that were HCO compliant increased in Berkeley from 29% (1652 of 5639) to 62% (2007 of 3261), a 125% increase relative to comparison cities (PR, 2.25; 95% CI, 1.80-2.82). The percentage of Berkeley food and beverage facings consisting of candy, sugar-sweetened beverages, and other sweets significantly decreased (candy: from 30% [1687 of 5639] to 6% [197 of 3261]; PR, 0.21; 95% CI, 0.10-0.42; sugar-sweetened beverages: from 11% [596 of 5639] to 5% [157 of 3261]; PR, 0.41; 95% CI, 0.23-0.75; other sweets: from 7% [413 of 5639] to 3% [101 of 3261]; PR, 0.37; 95% CI, 0.15-0.88), while the percentage consisting of unsweetened beverages (from 4% [226 of 5639] to 19% [604 of 3261]; PR, 4.76; 95% CI, 2.54-8.91) and healthy foods (from 6% [350 of 5639] to 20% [663 of 3261]; PR, 2.90; 95% CI, 1.79-4.72) significantly increased. Conclusions and Relevance: This cohort study of the first healthy checkout policy found substantial improvements in the healthfulness of food environments at checkouts 1 year after implementation of the policy. These results suggest that healthy checkout policies have the potential to improve the healthfulness of store checkouts.

IQOS point-of-sale marketing: a comparison between Arab and Jewish neighborhoods in Israel.

BACKGROUND: Philip Morris International's IQOS, with its heatsticks (HEETS), is the heated tobacco product with the largest global market share. IQOS and/or electronic cigarettes use rate is higher among Arabs vs. Jews in Israel. This paper aims to compare IQOS point-of-sale marketing strategies, and regulatory compliance in Arab vs. Jewish neighborhoods in Israel. METHODS: We integrated data from two separate studies including a cross-sectional survey with IQOS retailers (December 2020-April 2021) and audits of points-of-sale that sold IQOS/HEETS (April 2021-July 2021) in 5 large cities in Israel, after marketing restrictions including a points-of-sale display ban and plain packaging became effective in Israel (January 2020). The survey included 69 points-of-sale (21 Arab, 48 Jewish neighborhoods) and the audits included 129 points-of-sale (48 Arab, 81 Jewish neighborhoods). Comparisons of IQOS marketing strategies between points-of-sale in Arab and Jewish neighborhoods were conducted using Chi-Square test, Fisher's exact test or Mann-Whitney test, as appropriate. Thematic analysis was used to analyze open-ended questions. RESULTS: The survey showed that most marketing strategies, such as promotions to customers, were uniform across points-of-sale in Arab and Jewish neighborhoods. The most noteworthy differences were that a higher proportion of retailers from Arab neighborhoods were invited to IQOS parties (47.6% vs. 21.7%, p < 0.05) and reported personal communication with a Philip Morris International's representative (80.0% vs. 51.2%, p < 0.05). Additionally, Philip Morris International's representatives assisted points-of-sale in both Arab and Jewish neighborhoods in implementing the display ban by providing free compliant cabinets and product placement instructions, and directly interacted with customers. The audits showed that points-of-sale in Arab neighborhoods were more compliant with the display ban (25.5% vs. 8.8%, p < 0.05), but less compliant with plain packaging (62.5% vs. 79.3%, p < 0.05). CONCLUSIONS: There were not many notable differences in IQOS marketing across points-of-sale in Arab vs. Jewish neighborhoods, but Philip Morris International utilized marketing elements of cultural significance, especially for points-of-sale in Arab neighborhoods, such as more personal communication and invitation to social events. Continuous surveillance of tobacco points-of-sale marketing and legislation compliance is needed, with a special focus on demographic/location-based differences.

Universal Background Checks, Permit Requirements, and Firearm Homicide Rates.

Importance: A loophole in US gun policy is that people can purchase guns from private sellers without going through any background check. Some states have addressed this loophole by requiring universal background checks for all gun sales, either at the point of sale or through a permit system; however, most studies on the effectiveness of universal background checks have not analyzed these 2 policy mechanisms separately. Objective: To assess the association of point-of-sale background check law and gun permit law, separately, with firearm homicide rates from 1976 through 2022 using the same methods and model specification. Design, Setting, and Participants: This cross-sectional study used a difference-in-differences, fixed-effects regression model to evaluate firearm laws and firearm homicide rates in 48 states from 1976 through 2022. Data were obtained for 48 states except New Hampshire and Vermont and were analyzed in January 2024. Exposures: Implementation of either the law requiring a universal background check at point of sale for all firearms without a permit or the laws combining universal background checks and a state permit requirement for all gun purchasers. Main Outcomes and Measures: Annual, state-specific rates of firearm homicide per 100 000 people. Results: From 1976 through 2022, 12 states adopted the universal background check laws without permitting requirements and 7 states implemented gun permit laws covering all firearms. The mean (SD) firearm homicide rate was 4.3 (0.1) per 100 000 people. Universal background checks for all firearms alone (without a state permitting system) were not associated with overall homicide rates (percentage change, 1.3%; 95% CI, -6.9% to 10.4%) or firearm homicide rates (percentage change, 3.7%; 95% CI, -5.3% to 13.6%). A law requiring a permit for the purchase of all firearms was associated with significantly lower overall homicide rates (percentage change, -15.4%; 95% CI, -28.5% to -0.01%) and firearm homicide rates (percentage change, -18.3%; 95% CI, -32.0% to -1.9%). Conclusions and Relevance: This cross-sectional study found that universal background checks alone were not associated with firearm homicide rates, but a permit requirement for the purchase and possession of firearms was associated with substantially reduced rates of firearm homicide. The findings suggest that combining universal background checks and permit-to-purchase requirements is an effective strategy for firearm-related fatality reduction.

Drug Prices After Patent Expirations in High-Income Countries and Implications for Cost-Effectiveness Analyses.

Importance: Understanding how patent expirations affect drug prices is crucial because price changes directly inform accurate cost-effectiveness assessments. This study investigates the association between patent expirations and drug prices in 8 high-income countries and evaluates how the changes affect cost-effectiveness assessments. Objective: To analyze how the expiration of drug patents is associated with drug price changes and to assess the implications of these price changes for cost-effectiveness evaluations. Design, Setting, and Participants: This cohort study performed an event study design using data from 8 high-income countries to assess the association between patent expiration and drug prices, and created a simulation model to understand the implications for cost-effectiveness analyses. The simulation cost-effectiveness model analyzed the implications of including or ignoring postpatent price dynamics. Exposure: Drug patent expiration. Main Outcomes and Measures: Change in drug prices and differences in incremental cost-effectiveness ratios when considering vs ignoring postpatent price dynamics. Results: The sample comprised 505 drugs undergoing patent expiration in Australia, Canada, France, Germany, Japan, Switzerland, UK, and US. Price decreases were statistically significant over the 8 years after patent expiration, with the fastest price declines observed in the US: 32% (95% CI, 24%-39%) in year 1 after patent expiration and 82% (95% CI, 71%-89%) in the 8 years after patent expiration. Estimates for other nations ranged from a decrease of 64% in Australia to 18% in Switzerland in the 8 years after expiration. The cost-effectiveness simulation model indicated that not accounting for generic entry into the market may produce biased incremental cost-effectiveness ratios of 40% to -40%, depending on the scenario. Conclusions and Relevance: The findings of this cohort study demonstrate that drug prices were reduced substantially after patent expirations in high-income countries. Therefore, incorporating information on patent status and pricing dynamics in cost-effectiveness assessment analyses is necessary for producing accurate economic evaluations of new drugs.