Mandatory energy (calorie) labeling of alcoholic drinks is a public health measure that could be used to address both alcohol consumption and obesity. We systematically reviewed studies examining consumer knowledge of the energy content of alcoholic drinks, public support for energy labeling, and the effect of energy labeling of alcoholic drinks on consumption behavior. Eighteen studies were included. Among studies examining consumer knowledge of the energy content of alcoholic drinks (N = 8) and support for energy labeling (N = 9), there was moderate evidence that people are unaware of the energy content of alcoholic drinks (pooled estimate: 74% [95% CI: 64%-82%] of participants inaccurate) and support energy labeling (pooled estimate: 64% [95% CI: 53%-73%] of participants support policy). Six studies examined the effect of energy labeling on consumption behavior. In these studies, there was no evidence of a beneficial effect of labeling on alcohol drinking-related outcome measures. However, the majority of studies were of low methodological quality and used proxy outcome measures, and none of the studies were conducted in real-world settings, resulting in a very low level of evidence and high degree of uncertainty. Further research is required to determine whether energy labeling of alcoholic drinks is likely to be an effective public health policy.
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http://dx.doi.org/10.1111/obr.13198 | DOI Listing |
Neural Netw
January 2025
Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; Center of Intelligent Computing, School of Mathematics, East China University of Science and Technology, Shanghai 200237, China. Electronic address:
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative methods to decode ERPs could enhance the accuracy of brain-computer interface (BCI) technology and promote the understanding of cognitive processes. This paper proposes a novel Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network (MS-PSA-SOC) for ERP Detection.
View Article and Find Full Text PDFNat Food
January 2025
School of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock (R2BGL), Inner Mongolia University, 24 Zhaojun Rd., Hohhot 010070, China; College of Life Sciences, Inner Mongolia University, 24 Zhaojun Rd., Hohhot 010070, China. Electronic address:
Sperm cryopreservation is widely used in assisted reproductive technology (ART) and livestock breeding. Although sperm cryopreservation accelerates breeding, the quality of cryopreserved sperm tends to be decreased. Improving the quality of frozen sperm is a hot topic, and spirulina polysaccharide, known for its immunomodulatory and antioxidant properties, is considered a promising natural extract for extensive studies.
View Article and Find Full Text PDFMicrosc Microanal
January 2025
Fritz-Haber-Institut der Max-Planck-Gesellschaft, Berlin 14195, Germany.
In catalysis research, the amount of microscopy data acquired when imaging dynamic processes is often too much for nonautomated quantitative analysis. Developing machine learned segmentation models is challenged by the requirement of high-quality annotated training data. We thus substitute expert-annotated data with a physics-based sequential synthetic data model.
View Article and Find Full Text PDFNeurology
January 2025
APHP- Salpêtrière Hospital, DMU BioGem, CNRS, INSERM, Paris Brain Institute, Sorbonne University.
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