Purchase Data Research Articles

PERANCANGAN SISTEM INFORMASI PERSEDIAAN OBAT PADA TOKO OBAT ANUGERAH JAMINPA

Medicine stores are services for products and services related to buyer satisfaction. Recording data that still uses books causes data recording to be less accurate. In addition, the problem that often occurs in a medicine store is that there is expired medicine that is not known quickly because there is no notification, and if you want to find out the existing stock you must look for one by one on the medicine stock card. The medicine inventory information system at Anugerah Jaminpa medicine store is needed as a means of containing medicine data information, stock data information, employee data information, supplier data information, sales data information, purchase data information and reports.

Front-of-package claims & imagery on fruit-flavored drinks and exposure by household demographics

Young children regularly consume sugary fruit drinks, in part because parents may falsely believe they are healthful due to front-of-package (FOP) claims and imagery. The goal of this study was to assess: 1) the prevalence of FOP claims/imagery on fruit-flavored beverages purchased by U.S. households with 0-5-year-olds, and 2) proportional differences in beverages purchased with FOP claims/imagery across household demographic groups. A content analysis of FOP claims/imagery (e.g., nutrient claims, fruit imagery) on beverages (n = 1365) purchased by households with 0-5-year-olds was conducted by linking beverage sales with FOP marketing data. Results were merged with purchasing data from a nationally representative sample of households (FoodAPS), and survey-weighted logistic regression was used to assess differences in the proportions of 100% juices and fruit drinks with specific FOP claims/imagery purchased by household race/ethnicity, income, and SNAP/WIC participation. The most common claims on fruit-flavored beverages included nutrient claims (fruit drinks: 73%; 100% juices: 68%; flavored waters: 95%), which most commonly highlighted vitamin C (35–41% across beverage categories) and the absence of sugar (31–48%). Most beverages also contained implied-natural claims (fruit drinks: 60%; 100% juices: 64%; flavored waters: 95%) and natural imagery (fruit drinks: 97%; 100% juices: 96%; flavored waters: 73%). A large proportion of fruit drinks and 100% juices purchased by households across all demographic groups contained FOP claims and imagery, with a few minor differences between racial/ethnic groups. In conclusion, most fruit drinks, 100% juices, and flavored waters purchased by households with 0-5-year-olds contained FOP claims and imagery that may lead consumers to believe the beverages are healthy and natural. FDA regulations should ensure parents are not misled by this marketing.

The global impact of COVID-19 on drug purchases: A cross-sectional time series analysis

BackgroundThe drug supply chain is global and at risk of disruption and subsequent drug shortages, especially during unanticipated events. ObjectiveOur objective was to determine the impact of coronavirus disease 2019 (COVID-19) on drug purchases overall, by class, and for specific countries. MethodsA cross-sectional time series analysis of country-level drug purchase data from August 2014 to August 2020 from IQVIA MIDAS was conducted. Standardized units per 100 population and percentage increase in units purchased were assessed from 68 countries and jurisdictions in March 2020 (when the World Health Organization declared COVID-19 a pandemic). Analyses were compared by United Nations development status and drug class. Autoregressive integrated moving average models tested the significance of changes in purchasing trends. ResultsBefore COVID-19, standardized medication units per 100 population ranged from 3990 to 4760 monthly. In March 2020, there was a global 15% increase in units of drugs purchased to 5309.3 units per 100 population compared with the previous year; the increase was greater in developed countries (18.5%; P < 0.001) than in developing countries (12.8%; P < 0.0001). After the increase in March 2020, there was a correction in the global purchase rate decreasing by 4.7% (April to August 2020 rate, 21,334.6/100 population; P < 0.001). Globally, we observed high purchasing rates and large changes for respiratory medicines such as inhalers and systemic adrenergic drugs (March 2020 rate, 892.7/100 population; change from 2019, 28.5%; P < 0.001). Purchases for topical dermatologic products also increased substantially (42.2%), although at lower absolute rates (610.0/100 population in March 2020; P < 0.0001). Interestingly, purchases for systemic anti-infective agents (including antiviral drugs) increased in developing countries (11.3%; P < 0.001), but decreased in developed countries (1.0%; P = 0.06). ConclusionWe observed evidence of global drug stockpiling in the early months of the COVID-19 pandemic, especially among developed countries. Actions toward equitable distribution of medicines through a resilient drug supply chain should be taken to increase global response to future unanticipated events, such as pandemics.

Impact of the Pilot Volume-Based Drug Purchasing Policy in China: Interrupted Time-Series Analysis with Controls.

Centralizing procurement for prescription drugs has the potential to reduce drug spending by creating economies of scale and by improving purchasing power. In March 2019, the Chinese government launched a volume-based purchasing (VBP) pilot program using a competitive bidding process to purchase accredited generic drugs for which branded drug substitutes were available. We performed an interrupted time-series design to estimate the change in monthly drug purchase quantity and spending comparing 14 months before and 7 months after the VBP pilot. We obtained monthly prescription drug purchase data for all purchases from public medical institutions in the three large pilot cities (Beijing, Shanghai and Xi’an) and two non-pilot cities (Changsha and Zhengzhou) between January 2018 to September 2019. We used negative binomial regression and log-linked Gamma Generalized Linear Model for purchase quantity and spending respectively. We evaluated heterogeneity of impact by pilot city, drug type (selected or non-selected drugs), and therapeutic class (cardiovascular disease, mental disorder and cancer) separately. The implementation of the pilot reform was associated with a 132% (95%-CI: 104–165%, p < 0.001) increase in the purchase quantity of selected drugs in pilot cities compared to an 17% decrease (95%-CI: 9–25%, p < 0.001) in control cities. In contrast, the purchase quantity of branded and other drugs in pilot cities decreased by 38% (95%-CI: 27–46%, p < 0.001) and 77% (95%-CI: 71–81%, p < 0.001), respectively; while in control cities, these remained at similar levels. Overall, in pilot cities, there was a 35% (95%-CI: 28–41%, p < 0.001) decrease in the purchase spending for all drugs in the first post-policy month, from 8.1 billion CNY estimated in the absence of VBP down to 5.3 billion CNY; in control cities, the change was negligible. The largest reduction in spending occurred for drugs for the treatment of cardiovascular diseases. The evidence suggests a positive impact of the VBP pilot in reducing overall drug spending and increasing the use of accredited generics in three pilot cities. This overall trend is not observed in two non-pilot cities. Assessments of long-term impact of the VBP policy on additional key outcomes including drug prescriptions, drug utilization, patients’ health outcomes and payments on drugs are needed.

Does the prevalence of promotions on foods and beverages vary by product healthiness? A population-based study of household food and drink purchases in New Zealand.

To assess the prevalence of promotions on foods and non-alcoholic drinks purchased by New Zealand households and to determine if they vary according to healthiness of products. We undertook a cross-sectional analysis of Nielsen New Zealand Homescan® 2018/19 panel data. We conducted multivariate analyses to examine the variability in quantities of healthy v. unhealthy food and beverage products purchased on promotion. Promotion was self-reported by the panellist. Healthiness of products was measured by the Health Star Rating (HSR) system. We also carried out a subgroup analysis for beverages according to the threshold of < 5 g v. ≥ 5 g sugar per 100 ml content of products. The Nielsen New Zealand Homescan® data were linked with two New Zealand Food Composition Databases (Nutritrack and the FOODfiles). Food and beverage purchases data by 1800 panel households were used. Overall, 46 % (1803601/3940458) of all purchases made were on promotion. Compared with purchases of food and beverage products with HSR < 3·5 (unhealthy), food and beverage products with HSR ≥ 3·5 (healthy) were significantly less likely to be on promotion (OR = 0·78, 95 % CI 0·77, 0·79). The subgroup analysis for beverages shows that products with < 5 g sugar per 100 ml were significantly less likely to be on promotion than those with ≥ 5 g sugar per 100 ml (OR = 0·77, 95 % CI 0·75, 0·79). Policies to improve healthy food retailing should focus on increasing the promotion of healthier food and drink options in stores and supermarkets.

Guidance for Healthy and More Climate-Friendly Diets in Nursing Homes-Scenario Analysis Based on a Municipality's Food Procurement.

Reducing the climate impact of food provided for residents in nursing homes is challenging, as the diets for older, frail adults must be high in protein content and energy density while at the same time ensuring that the meals are palatable and recognizable. This study aimed at providing guidance on healthy and more climate-friendly diets for nursing homes in the City of Copenhagen. The goal was to decrease greenhouse gas emissions (GHGE) by at least 25% while at the same time providing nutritionally adequate and recognizable menus. First, food purchase data were compiled with datasets matching each food item to a proxy food item and then to databases containing GHGE and nutrient information. Secondly, two diet scenarios were modelled based on current procurement practices, i.e., an energy- and protein-dense diet and a standard protein-dense diet, and converted into guidelines for menu planning. The diets contained less total meat, especially beef, and significantly more pulses, nuts and seeds in order to increase protein content according to recommendations for older adults. Finally, a combined scenario was calculated to reflect the joint climate impact reduction. This kind of innovation in food procurement is required in order to achieve the necessary transition to a sustainable food system.

A common framework for using and reporting consumer purchase data (CPD) in foodborne outbreak investigations in Europe

ABSTRACT Consumer purchase data (CPD) can be a powerful tool in the investigation of foodborne outbreaks through analyses of electronic records of food that individuals buy. The objective of this study was to develop a common framework for use of CPD in foodborne outbreak investigations using the expertise of European public health professionals from 11 European countries. We also aimed to describe barriers and limitations preventing CPD utilization. CPD are mainly gathered from supermarket loyalty programmes, smaller consortia, and independent supermarkets. Privacy legislation governing CPD was perceived as the most crucial barrier for CPD usage, but still resolvable. The main practical challenges were obtaining consumer consent for CPD usage, the associated workload, data access, format, and analysis. Harmonising methods and reporting across countries, standardised consent forms and electronic consent methods were identified as solutions. This guideline was developed to support outbreak investigators in overcoming barriers in using CPD, thereby increasing public health professionals’ application and value of this powerful investigation tool. In addition, we hope this framework will lead to more public health institutions, in collaboration with food safety authorities, making use of CPD in outbreak investigations in the future.

Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system

Recommendation systems rely on the historic data of users' purchases and their feedbacks to profile their preferences and make future recommendations. Most of these systems usually employ Collaborative Filtering (CF) models to analyze users’ ratings and infer the latent factors which represent the user and item features in k-dimensional latent space. However, the historical rating data used for recommendations are usually sparsed and unbalanced. Various approaches have been used to resolve these issues by combining the user’s ratings and reviews to better capture the user’s sentiments and make accurate recommendations. Other challenges comprise changes in users’ preferences and items’ perceptions over time. Therefore, this paper presents a new Sentiment Scoring Model (SSM) based on Long-/Short-Term Memory and a combination function that catches the sentiment bias between user rating and review to relieve the sparsity and unbalanced dataset. Next, we proposed an Adaptive LSTM (ALSTM) method that can model the drifting of user and item features to improve the recommendation accuracy. We show the performance of our model on the three real-world rating datasets from Amazon reviews, which comprises Fine Food, Baby, and Cell-phone & Accessories categories. The result shows the superiority of our proposed model over the existing static and dynamic models. The statistical test shows that all the performance gains are significant at p < 0.05.

The impact of \u201c4\u2009+\u20097\u201d volume-based drug procurement on the volume, expenditures, and daily costs of antihypertensive drugs in Shenzhen, China: an interrupted time series analysis

BackgroundIn 2019, Chinese government launched a nationwide volume-based drug procurement aiming at reducing drug prices and saving drug costs through economies of scale, which aroused widespread attention. The first round of the policy pilot was implemented in 4 municipalities and 7 sub-provincial cities, referred to as “4 + 7” policy. In the “4 + 7” policy, 7 antihypertensive drugs were included. This study was conducted to evaluate the impact of “4 + 7” policy on the use of policy-related antihypertensive drugs.MethodThis study applied single-group Interrupted Time Series (ITS) design. We used drug purchasing data from the Centralized Drug Procurement Survey in Shenzhen 2019, covering 24 months from January 2018 to December 2019. Antihypertensive drugs related to “4 + 7” policy were selected as study samples, including 7 drugs in the “4 + 7” List and 17 alternative drugs. Alternative drugs refer to antihypertensive drugs that have an alternative relationship with “4 + 7” List drugs in clinical use and have not yet been covered by the policy. “4 + 7” List drugs were then divided into bid-winning and bid-non-winning products according to the bidding results. Purchase volume, expenditures, and daily costs were selected as outcome variables, and were measured using Defined Daily Doses (DDDs), Chinese Yuan (CNY), and Defined Daily Drug cost (DDDc).ResultsAfter “4 + 7” policy intervention, the procurement volume of bid-winning antihypertensive drugs significantly increased (3.12 million DDD, 95 % CI = 2.14 to 4.10, p < 0.001), while the volume of non-winning drugs decreased (-2.33 million DDD, 95 % CI= -2.83 to -1.82, p < 0.01). The use proportion of bid-winning antihypertensive drugs increased from 12.31 to 87.74 % after policy intervention. The overall costs of the seven “4 + 7” List antihypertensive drugs significantly declined (-5.96 million CNY, 95 % CI= -7.87 to -4.04, p < 0.001) after policy intervention, with an absolute reduction of 36.37 million CNY compared with the pre-“4 + 7” period. The DDDc of bid-winning antihypertensive drugs significantly decreased (-1.30 CNY, 95 % CI= -1.43 to -1.18, p < 0.001), while the DDDc of non-winning (0.28 CNY, 95 % CI = 0.11 to 0.46, p < 0.01) and alternative (0.14 CNY, 95 % CI = 0.03 to 0.25, p < 0.05) antihypertensive drugs increased markedly.ConclusionsThe implementation of “4 + 7” policy promoted the drug use hypertensive patients gradually concentrated on the quality-guaranteed bid-winning drugs, which might be conducive to improve the overall quality level of drug use of Chinese hypertensive patients. Besides, a preliminary positive policy effect of price cut and cost-saving was observed in the antihypertensive drug category. In the future, price monitoring and drug use management regarding policy-related drugs should also be strengthened.

Outcomes of Screening for Prostate Cancer Among Men Who Use Statins

Prostate-specific antigen (PSA) screening for prostate cancer has resulted in a slight reduction in prostate cancer mortality but also a concomitant overdiagnosis of low-risk tumors. Prostate-specific antigen levels are affected by use of cholesterol-lowering statin drugs, but the association of statin use with PSA screening performance is unknown. To investigate whether statin use was associated with outcomes of a randomized PSA-based prostate cancer screening intervention. This post hoc subgroup analysis of a cohort from a population-based randomized clinical trial used data from the population-based Finnish Randomized Study of Prostate Cancer Screening, which randomized men to PSA screening or routine care from March 1, 1996, to December 31, 1999, with follow-up continuing until December 31, 2015. The population included all men aged 55 to 67 years at baseline and residing in the Tampere or Helsinki districts of Finland. Information on statin purchases from 1996 to 2009 was obtained from a national prescription registry. Eligible men were identified from the population registry of Finland. Prevalent prostate cancer cases at baseline were excluded. Data were analyzed from January 1, 2019 to March 31, 2021. Three invitations for PSA screening at 4-year intervals from 1996 to 2007 vs routine care. Risk for prostate cancer overall, high-risk disease, and prostate cancer mortality in the screening group vs the control group as an intention-to-treat analysis. The analysis was stratified by statin use. The study comprised 78 606 men (median age, 59 years [range, 55-67 years]) with statin purchase data available. Although PSA screening was associated with increased prostate cancer incidence among statin nonusers (screening vs control, 11.2 vs 8.6 per 1000 person-years); rate ratio [RR], 1.31; 95% CI, 1.24-1.38), no similar increase in incidence was observed among statin users (6.9 vs 5.9 per 1000 person-years; RR, 1.02; 95% CI, 0.95-1.10; P < .001 for interaction). Incidence of low-risk (Gleason score 6) and localized tumors was lower among statin users, whereas detection of tumors with a Gleason score of 8 to 10 was similar. Screening was associated with a lower incidence of metastatic tumors regardless of statin use. In this post hoc subgroup analysis of a cohort from a population-based randomized clinical trial, PSA screening among statin users was associated with a decreased incidence of advanced prostate cancer that was similar among statin nonusers, but with less increase in detection of low-grade localized tumors in statin users than in nonusers. These findings suggest that statin use does not materially compromise benefits of PSA-based screening.

Impact of minimum unit pricing on shifting purchases from higher to lower strength beers in Scotland: Controlled interrupted time series analyses, 2015-2020.

On 1 May 2018 Scotland introduced a minimum unit price (MUP) of GB50 pence per unit of alcohol (8g) sold. We analysed household purchase data to assess the impact of MUP in shifting purchases from higher to lower strength beers. Data from Kantar Worldpanel's household shopping panel, with 75 376 households and 4.76 million alcohol purchases, 2015-2020. We undertook interrupted time series analyses of the impact of introducing MUP in Scotland on changes in the proportion of the volume of purchased beer with an alcohol by volume (ABV) ≤3.5% using purchases in England as control. We analysed the moderating impact of the volume of purchased beer with an ABV ≤3.5% on the size of the associated impact of MUP in reducing purchases of grams of alcohol within beer. MUP was associated with a relative increase in the proportion of the volume of beer purchased with an ABV ≤3.5%, Scotland minus England, of 10.9% (95% CI 10.6-11.1), following a 43.6% (95% CI 40.1-47.1) increase in the volume of beer purchased with an ABV ≤3.5%, and a 9.6% (95% CI 9.4-9.8) decrease in the volume of beer purchased with an ABV >3.5%. MUP was associated with reduced purchases of grams of alcohol within beer by 8% (95% CI 7.8-8.3), increasing to 9.6% (95% CI 9.3-9.9), when accounting for the moderating impact of shifts to lower strength beer. MUP seems an effective policy to reduce off-trade purchases of alcohol and encourage shifts to lower strength beers.

Changes in household food and drink purchases following restrictions on the advertisement of high fat, salt, and sugar products across the Transport for London network: a controlled interrupted time series analysis

BackgroundRestricting advertising of products with high fat, salt, and sugar (HFSS) content has been recommended as a tool to tackle obesity, but the impact on purchases is unknown. This study evaluates the impact of outdoor HFSS advertising restrictions, implemented across the London transport network in February, 2019, on HFSS purchases. MethodsTake-home food and drink purchase data (n=5 089 988) from 1970 households (London [intervention] n=977; North of England [control] n=993) from the Kantar Fast Moving Consumer Goods panel were analysed with a controlled interrupted time series design. We estimated average weekly household purchases of energy and nutrients from HFSS products in the postintervention period (Feb 25 to Dec 29, 2019) compared with a counterfactual constructed from the control and preintervention (June 18, 2018, to Feb 24, 2019) series. The London School of Hygiene & Tropical Medicine ethics committee approved the study (16297/RR/11721), and written informed consent was obtained from participants. FindingsAfter adjustment for confounders, average weekly household purchase of energy was reduced by 6·8% (1015·4 kcal, 95% CI 473·6–1557·2) compared with the counterfactual. Reductions in purchases of fat (57·4 g, 95% CI 21·7–93·0), saturated fat (26·4 g, 12·5–40·4) and sugar (85·5 g, 46·7–124·3) from HFSS products were also observed. When stratified by product category, we found a 19·4% reduction in energy purchased from chocolate and confectionery (317·9 kcal, 95% CI 200·0–435·8), along with reductions in fat (13·1 g, 95% CI 7·5–18·8), saturated fat (8·7 g, 5·7–11·7), sugar (41·4 g, 27·4–55·4), and salt (0·2 g, 0·1–0·2) purchased. InterpretationTo our knowledge, this was the first UK study to examine the impact of outdoor HFSS advertising restrictions on food and drink purchases. Our findings provide support for policies that restrict HFSS advertising as a tool to reduce purchases of HFSS products. However, the sustainability of the observed effects is unclear. Confounding due to other events occurring at the same time as the intervention in either the intervention or control group cannot be ruled out. However, observed intervention effects were greater among frequent public transport users, and were specific to the week the advertising restrictions were introduced. FundingNational Institute for Health Research School for Public Health Research (grant number PD-SPH-2015).

Purchases, Consumption, and BMI of SNAP Farmers’ Market Shoppers

ABSTRACT Purchasing, consumption, and health data from 3,073 Supplemental Nutrition Assistance Program Shoppers (SNAP) at 77 U.S. farmers’ markets (FMs) are reported. Descriptive and bivariate analyses indicate SNAP households spent $345/month on all groceries and $153.76/month on all fruit and vegetable (FV) purchases; daily FV consumption significantly correlated with percentage of household expenditures on FV and household FV dollars/month. Females and Hispanics spent significantly more on FV. 82% of participants were food insecure and 26.1% reported fair/poor health. Average BMI was 28.5. Findings suggest SNAP FM shoppers have unique FV expenditure and consumption patterns, despite higher food insecurity, meriting future research.

Estimating the potential impact of the Australian government\u2019s reformulation targets on household sugar purchases

BackgroundCountries around the world are putting in place sugar reformulation targets for packaged foods to reduce excess sugar consumption. The Australian government released its voluntary sugar reformulation targets for nine food categories in 2020. We estimated the potential impact of these targets on household sugar purchases and examined differences by income. For comparison, we also modelled the potential impact of the UK sugar reduction targets on per capita sugar purchases as the UK has one of the most comprehensive sugar reduction strategies in the world.MethodsGrocery purchase data from a nationally representative consumer panel (n=7,188) in Australia was linked with a large database (FoodSwitch) with product-specific sugar content information for packaged foods (n=25,261); both datasets were collected in 2018. Potential reductions in per capita sugar purchases were calculated overall and by food category. Differences in sugar reduction across income level were assessed by analysis of variance.ResultsIn 2018, the total sugar acquired from packaged food and beverage purchases consumed at-home was 56.1 g/day per capita. Australia’s voluntary reformulation targets for sugar covered 2,471/25,261 (9.8%) unique products in the FoodSwitch dataset. Under the scenario that all food companies adhered to the voluntary targets, sugar purchases were estimated to be reduced by 0.9 g/day per capita, which represents a 1.5% reduction in sugar purchased from packaged foods. However, if Australia adopted the UK targets, over twice as many products would be covered (n=4,667), and this would result in a more than four times greater reduction in sugar purchases (4.1 g/day per capita). It was also estimated that if all food companies complied with Australia’s voluntary sugar targets, reductions to sugar would be slightly greater in low-income households compared with high-income households by 0.3 g/day (95%CI 0.2 - 0.4 g/day, p<0.001).ConclusionsSugar-reduction policies have the potential to substantially reduce population sugar consumption and may help to reduce health inequalities related to excess sugar consumption. However, the current reformulation targets in Australia are estimated to achieve only a small reduction to sugar intakes, particularly in comparison to the UK’s sugar reduction program.

Food Price Elasticities for Policy Interventions: Estimates from a Virtual Supermarket Experiment in a Multistage Demand Analysis with (Expert) Prior Information

Food price elasticities (PEs) are essential for evaluating the impacts of food pricing interventions to improve dietary and health outcomes. This paper innovates the use of experimental purchasing data from a recent New Zealand virtual supermarket experiment to estimate PEs for a large set of disaggregated foods across major food groups relevant for food policies in a Bayesian multistage demand framework. We propose the use of available prior information to elicit prior demand parameter assumptions that are consistent with published PEs and economic assumptions and are weighted according to expert knowledge, increasing precision in PE inference and policy predictions, and yielding somewhat stronger price effects.

Do we eat what we buy? Relative validity of grocery purchase data as an indicator of food consumption in the LoCard study.

The validity of grocery purchase data as an indicator of food consumption is uncertain. This paper investigated (1) the associations between food consumption and grocery purchases using automatically accumulated purchase data and (2) whether the strength of the associations differed in certain sub-populations. The participants filled in a FFQ, and a major Finnish retailer issued us with their loyalty-card holders' grocery purchase data covering the 1- and 12-month periods preceding the FFQ. We used gamma statistics to study the association between thirds/quarters of FFQ and grocery purchase data (frequency/amount) separately for eighteen food groups among the 11983 participants. Stratified analyses were conducted for subgroups based on sex, family structure, educational level, household income and self-estimated share of purchases from the retailer. We also examined the proportion of participants classified into the same, adjacent, subsequent and opposite categories using the FFQ and purchase data. The gammas ranged from 0·12 (cooked vegetables) to 0·75 (margarines). Single households had stronger gammas than two-adult families, and participants with > 60 % of purchases from the retailer had stronger gammas. For most food groups, the proportion of participants classified into the same or adjacent category was > 70 %. Most discrepancies were observed for fresh/cooked vegetables, berries and vegetable oils. Even though the two methods did not categorise all food groups similarly, we conclude that grocery purchase data are able to describe food consumption in an adult population, and future studies should consider purchase data as a resource-saving and moderately valid measure in large samples.

Selling, buying and eating – a synthesis study on dietary patterns across language regions in Switzerland

PurposeCross-cultural studies on differences in eating and consumer behavior have several limitations due to differences between countries, for example, in national health policies. Switzerland combines cultural diversity between the language regions, but with a common national health policy. Therefore, Switzerland provides an ideal framework to investigate cross-cultural eating and consumer behavior. The aim of this study was to combine food consumption, purchase data and sales data to obtain a more comprehensive understanding of cultural dietary differences.Design/methodology/approachSix national Swiss studies on food consumption, one study of food sales from the largest supermarket chain in Switzerland and one national study of food purchasing were included. The estimated marginal mean of each food category in each language region was calculated using linear regression and respective linear random effect models.FindingsIn the French- and Italian-speaking regions more fish was sold, bought and consumed than in the German-speaking region of Switzerland. In contrast, in the German-speaking region, more milk and dairy products were sold, bought and consumed. Language regions explained sales, purchase and consumption of foods, but the findings were only consistent for fish and milk and dairy products.Originality/valueIf possible limitations of cross-culture studies between countries are eliminated, cultural eating and consumer differences are still visible, even in a small country like Switzerland. For the first time, the complexity of studying food consumption, purchasing and sales is shown in one study. This indicates the importance of further studies which consider these three perspectives to better understand cultural differences in eating and consumption behavior.

RETRACTED ARTICLE: Deep Learning-Assisted Heuristic Data Management in the E-Commerce Recommendation System

Nowadays, recommendation systems are being used by an ever-increasing number of E-commerce platforms to help customers locate goods to purchase. Recommendation systems aid e-commerce sites in increasing sales and analysis at market-leading locations. Recommendation systems leverage product information, expert knowledge from customer behavior to direct customers around the often challenging task of locating products they want. Further, this paper proposed the Deep Learning-Assisted Heuristic Data Management (DLHDM) for customer purchasing data management to improve e-commerce sales. The proposed DLHDM to identify customer data correctly described, categorized, and stored for customers can quickly find what they are looking for be positive in buying decisions. Heuristic data management is useful for the development of buyer individuals or shopper profiles. This helps users to decide which product they like best and when users typically buy customer preferences. The results show the effectiveness of recommender systems and consumer recommendations for their corresponding trade-offs.

Characterization of chanterelle (Cantharellus cibarius) and pine mushrooms (Tricholoma magnivelare) in northern Saskatchewan

Baseline data on the boreal jack pine associated chanterelle (Cantharellus cibarius Fr.) and pine mushrooms (Tricholoma magnivelare (Peck) Redhead) in the Boreal Plain Ecozone of Saskatchewan were collected in five ecosites of productive mushroom areas. It investigated hourly weather parameters correlated with daily purchase volumes over 4 yrs; yield data over 5 yrs; and varying age, tree density, and species for presence of mushrooms in over 100 stands. All plots fell within the lichen jack pine (jP) ecosite with an overstory entirely of jack pine. The understory was dominated by reindeer lichen, bearberry, and blueberry. Plots were well- to rapidly drained, subxeric to submesic, with low nutrient regime. Both chanterelle and pine mushrooms were present in jack pine stands of &lt; 20 yrs, with greatest occurrence in pure jack pine stands of 41–60 yrs in moderately open A-B canopy density. Weekly purchase data correlated with environmental parameters. Growing degree days (GDD) (base temperature 5 °C) + soil temperature (minimum 500 ± 70 GDD), + either soil moisture or precipitation (cumulative 50–100 mm) provided the highest regression value with chanterelle yield 6–13 wks prior to first appearance. The 5-yr total chanterelle yield from this region averaged 7100 kg·yr−1. Chanterelle cap diameter was a good predictor of fresh weight and proxy for yield. Pine mushroom was &lt; 10% of chanterelle yield, averaging 1.72 kg·ha−1over 4 yrs based on 5 days picking. With future climate predictions of warmer and moister conditions, timing of fruiting body appearance is anticipated to advance.

Gabapentinoids Associated With Lower Explantation Rate in 203 Patients With Spinal Cord Stimulation for Failed Back Surgery Syndrome.

BACKGROUNDSpinal cord stimulation (SCS) is an effective treatment in failed back surgery syndrome (FBSS). The effect of neuropathic pain medication use on SCS outcome is poorly understood.OBJECTIVETo study the effect of gabapentinoid use on SCS outcome measured by trial success, explantation rate and opioid dose reduction during a 2-yr follow-up.METHODSThe study cohort included 203 consecutive FBSS patients who underwent SCS in a single tertiary center during January 1997 to March 2014. Purchase data of gabapentinoids, opioids, tricyclic antidepressants, serotonin and noradrenaline reuptake inhibitors, and benzodiazepines during January 1995 to March 2016 were retrieved from national registries.RESULTSIn multivariate Cox regression analysis, patients using gabapentinoids had significantly fewer explantations during the 2-yr follow-up (hazard ratio [HR] 0.2, 95% CI 0.04-0.81, P = .03). In contrast, patients with opioid use of >40 morphine milligram equivalent before implantation had significantly more explantations (HR 6.7, 95% CI 2.5-18, P < .01). In bivariate logistic regression analysis adjusted for patient specific factors, year of SCS implantation, use of neuropathic pain medication, opioids, and benzodiazepines, patients using gabapentinoids significantly more often discontinued opioids or reduced their dose by more than 50% during the 2-yr follow-up (odds ratio 5.7, 95% CI 1.4-23, P = .015).CONCLUSIONThe use of gabapentinoids was associated with a significantly lower spinal cord stimulator explantation rate and a higher chance of opioid discontinuation or >50% dose reduction. This indicates that patients with SCS could benefit from concomitant use of gabapentinoids. Prospective randomized trials are warranted to verify this hypothesis.