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PubMed Journals Articles About "Calorie Labels Exercise Labels Labels Food Selection" RSS

19:58 EDT 4th April 2020 | BioPortfolio

Calorie Labels Exercise Labels Labels Food Selection PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Calorie Labels Exercise Labels Labels Food Selection articles that have been published worldwide.

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Showing "Calorie Labels Exercise Labels Labels Food Selection" PubMed Articles 1–25 of 10,000+

The impact of 'on-pack' pictorial health warning labels and calorie information labels on drink choice: A laboratory experiment.

Sugar-sweetened beverages (SSBs) are one of the largest added sugar sources to diets in the UK and USA. Health warning labels reduce hypothetical selection of SSBs in online studies but uncertainty surrounds their impact on selection of drinks for consumption. Calorie information labels are also promising but their impact on SSB selection is unclear. This laboratory study assessed the impact on SSB selection of 'on-pack' labels placed directly on physical products: i.a pictorial health warning label depicti...


Front-of-package food labels: A narrative review.

Front-of-package (FOP) labels may help shoppers make healthier food choices. The objectives of this review are, first, to establish the effectiveness of different FOP labels at enabling shoppers to identify which foods are healthy and which are not healthy, and, second, to assess whether different FOP labels induce shoppers to buy healthier foods. Some labels are nutrient-specific, such as Multiple Traffic Lights (MTL) and Guideline Daily Amounts (GDA). These labels state the content per serving of energy a...

Increasing Vegetable Intake by Emphasizing Tasty and Enjoyable Attributes: A Randomized Controlled Multisite Intervention for Taste-Focused Labeling.

Healthy food labels tout health benefits, yet most people prioritize tastiness in the moment of food choice. In a preregistered intervention, we tested whether taste-focused labels compared with health-focused labels increased vegetable intake at five university dining halls throughout the United States. Across 137,842 diner decisions, 185 days, and 24 vegetable types, taste-focused labels increased vegetable selection by 29% compared with health-focused labels and by 14% compared with basic labels. Vegetab...


Does Tail Label Help for Large-Scale Multi-Label Learning?

Large-scale multi-label learning (LMLL) annotates relevant labels for unseen data from a huge number of candidate labels. It is perceived that labels exhibit a long tail distribution in which a significant number of labels are tail labels. Most previous studies consider that the performance would benefit from incorporating tail labels. Nonetheless, it is not quantified how tail labels impact the performance. In this article, we disclose that whatever labels are randomly missing or misclassified, the impact ...

Breast tumor classification through learning from noisy labeled ultrasound images.

To train deep learning models to differentiate benign and malignant breast tumors in ultrasound images, we need to collect many training samples with clear labels. In general, biopsy results can be used as benign/malignant labels. However, most clinical samples generally do not have biopsy results. Previous works have proposed generating benign/malignant labels according to Breast Imaging, Reporting and Data System (BI-RADS) ratings. However, this approach will cause noisy labels, which means that the benig...

Signaling impacts of GMO labeling on fruit and vegetable demand.

Food labels may have both informational and signaling influences on consumer demand. We conduct a choice experiment with over 1,300 subjects to examine the signaling effect of the food product labels on consumer demand for other competing products in the market. Specifically, we focus on the genetically modified (GM) text labeling for fresh produce (strawberries, apples, and potatoes) in the United States. Contrary to some previous studies, our results indicate that the absence-claim label (Not-GM) does not...

The effect of spatial location of calorie information on choice, consumption and eye movements.

We manipulated the presence and spatial location of calorie labels on menus while tracking eye movements. A novel "lab-in-the-field" experimental design allowed eye movements to be recorded while participants chose lunch from a menu, unaware that their choice was part of a study. Participants exposed to calorie information ordered 93 fewer calories (11%) relative to a control group who saw no calorie labels. The difference in number of calories consumed was greater still. The impact was strongest when calor...

Effects of strengthening alcohol labels on attention, message processing, and perceived effectiveness: A quasi-experimental study in Yukon, Canada.

Alcohol labels are one strategy for raising consumer awareness about the negative consequences of alcohol, but evidence to inform labels is limited. This quasi-experimental study sought to test the real-world impact of strengthening health messages on alcohol container labels on consumer attention, message processing (reading, thinking, and talking with others about labels), and self-reported drinking. Alcohol labels with a cancer warning, national drinking guidelines, and standard drink information were im...

Front-of-pack nutritional labels: Understanding by low- and middle-income Mexican consumers.

Front-of-pack labeling is a cost-effective strategy to decrease population consumption of sodium, sugar, saturated fat, total fat, and trans-fatty acids, considered critical nutrients for chronic disease. Our main objective was to explore the subjective understanding of labels that are currently used internationally among low- and middle-income Mexican consumers. We performed two phases of 10 focus groups with adolescents (13-15 y), young adults (21-23 y), mothers of children 3-12 y, fathers of children 3-1...

Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning.

Multilabel learning focuses on assigning instances with different labels. In essence, the multilabel learning aims at learning a predictive function from feature space to a label space. The predictive function learning procedure can be regarded as a feature selection procedure and as a classifier construction procedure. For feature selection, we extract features for each label based on the learned positive and negative feature-label correlations. The positive and negative relationships can illustrate which ...

Collaborative learning with corrupted labels.

Deep neural networks (DNNs) have been very successful for supervised learning. However, their high generalization performance often comes with the high cost of annotating data manually. Collecting low-quality labeled dataset is relatively cheap, e.g., using web search engines, while DNNs tend to overfit to corrupted labels easily. In this paper, we propose a collaborative learning (co-learning) approach to improve the robustness and generalization performance of DNNs on datasets with corrupted labels. This ...

Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels.

In this article, we propose exact passive-aggressive (PA) online algorithms for ordinal regression. The proposed algorithms can be used even when we have interval labels instead of actual labels for example. The proposed algorithms solve a convex optimization problem at every trial. We find an exact solution to those optimization problems to determine the updated parameters. We propose a support class algorithm (SCA) that finds the active constraints using the Karush-Kuhn-Tucker (KKT) conditions of the opti...

Protein-specific, multi-color and 3D STED imaging in cells with DNA-labeled antibodies.

Photobleaching is a major challenge in fluorescence microscopy, in particular if high excitation light intensities are used. Signal-to-noise and spatial resolution may be compromised, which limits the amount of information that can be extracted from an image. Photobleaching can be bypassed with exchangeable labels, which transiently bind to and off a target and thereby replenish destroyed labels by intact ones from a reservoir. Here, we demonstrate confocal and STED microscopy with short, fluorophore-labele...

CAMITAX: Taxon labels for microbial genomes.

The number of microbial genome sequences is increasing exponentially, especially thanks to recent advances in recovering complete or near-complete genomes from metagenomes and single cells. Assigning reliable taxon labels to genomes is key and often a prerequisite for downstream analyses.

Evaluation of current regulation and guidelines of pharmacogenomic drug labels; opportunities for improvements.

Pharmacogenomic drug labels in summary of product characteristics (SmPCs) provide an instrument for clinical implementation of pharmacogenomics. We compared pharmacogenomic guidance by CPIC, DPWG, FDA, and by the European agencies EMA, CBG-MEB and FIDMD, collectively assigned as EMA/FM. Out of 54 drugs with an actionable gene-drug interaction in the CPIC and DPWG guidelines, only 50 % had actionable pharmacogenomic information in the SmPCs and the agencies were in agreement in only 18 % of the cases. We fur...

Food Choice Under Five Front-of-Package Nutrition Label Conditions: An Experimental Study Across 12 Countries.

To determine which front-of-package label (out of 5 formats) is most effective at guiding consumers toward healthier food choices. Respondents from Argentina, Australia, Bulgaria, Canada, Denmark, France, Germany, Mexico, Singapore, Spain, the United Kingdom, and the United States took part in the Front-of-Pack International Comparative Experiment between April and July 2018. Respondents were shown foods of varying nutritional quality (with no label on package) and selected which they would be most likely t...

Labels of insecticides that could be exposed to Oregon honey bee (Apis mellifera L.) hives do not align with federal recommendations in their communication of acute and residual toxicity to honey bees.

Teaching pesticide applicators how to determine a product's toxicity to honey bees (Apis mellifera L.) by understanding the label is a way to reduce honey bee exposure to pesticides. Applicators are currently taught how to interpret labels that follow the United States Environmental Protection Agency's (USEPA's) recommendations for how this toxicity should be communicated. To effectively educate applicators, it must be determined if labels follow USEPA recommendations in how they communicate toxicity to hon...

Alcohol warning labels to reduce alcohol-related harm: a scoping review protocol.

This scoping review aims to explore international literature relating to alcohol warning labels as a public health approach for reducing alcohol-related harm.

Label-activating framework for zero-shot learning.

Existing zero-shot learning (ZSL) models usually learn mappings between visual space and semantic space. However, few of them take the label information into account. Indirect Attribute Prediction (IAP) learns the posterior probability of each attribute by label space, but labels of seen and unseen classes are defined in different spaces, which is not suitable for Generalized ZSL (GZSL). We propose a Label-Activating Framework (LAF) for semantic-based classification. The purpose of the proposed framework is...

Symbols and labels: Children's awareness of social categories in a divided society.

How and when children develop an understanding of group boundaries have implications for conflict resolution. When social divisions are not perceptually distinct, symbols become particularly important. Framed by the Social Identity Development Theory, this study was designed to assess children's categorization of symbols with conflict-related group labels.

A streamlined approach to optimize perioperative antibiotic prophylaxis in the setting of penicillin allergy labels.

Patients with penicillin allergy labels often receive alternative antibiotics for peri-operative prophylaxis, as opposed to first-line cephalosporins (cefazolin/cefuroxime). Provider misconceptions about the risk of cross-reactivity likely drive this prescribing behavior, which is problematic because of its association with increased risk of surgical site infections.

Receptivity of Young Adult Hookah Users to Health Warning Labels.

We examined the receptivity of non-college young adult hookah users to health warning labels.

A Public Health Issue: Dietary Supplements Promoted for Brain Health and Cognitive Performance.

Dietary supplements targeting brain health have quickly emerged in the marketplace as cognitive performance becomes an important public health issue. While manufacturers are required to report the exact ingredients and formulations listed on the Supplement Facts labels of products, many reports have indicated such labels are not always truthful, and the content of some products is inconsistent with the ingredients listed on the Supplement Facts label. To identify dietary supplement products and ingredients...

Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information.

Multilabel learning is a challenging task demanding scalable methods for large-scale data. Feature selection has shown to improve multilabel accuracy while defying the curse of dimensionality of high-dimensional scattered data. However, the increasing complexity of multilabel feature selection, especially on continuous features, requires new approaches to manage data effectively and efficiently in distributed computing environments. This article proposes a distributed model for mutual information (MI) adapt...

An evaluation of Chile's Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study.

Chile's Law of Food Labeling and Advertising, implemented in 2016, was the first national regulation to jointly mandate front-of-package warning labels, restrict child-directed marketing, and ban sales in schools of all foods and beverages containing added sugars, sodium, or saturated fats that exceed set nutrient or calorie thresholds. The objective of this study is to evaluate the impact of this package of policies on household beverage purchases.


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