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Background: The relationship between sports participation and food preferences in adults, as well as the influence of gender, is still unclear.
Objective: The objective of this study was to investigate the association between sports participation and individual food preferences and to explore potential gender differences among sports participants in a large group of Italian adults.
Methods: This cross-sectional study involved 2665 adults (aged ≥ 18 years) who lead normal lives and underwent a routine lifestyle and dietary assessment at a clinical centre specialising in nutrition, metabolic health, and lifestyle counselling in Rome. Participants completed an online questionnaire on food preferences (19 foods) and sports practice. Multivariate logistic regression models, adjusted for age, sex, and smoking, were used to assess associations.
Results: Sports participation was defined as engaging in structured physical activity at least once per week and was reported by 53.5% of subjects (men: 60.1%; women: 49.0%; < 0.0001). After adjustment, active individuals were significantly more likely to prefer plant-based drinks, low-fat yoghurt, fish, cooked and raw vegetables, fruit, whole grains, tofu, and dark chocolate (all < 0.05) and less likely to prefer cow's milk ( = 0.018). Among sport participants, males were more likely to prefer meat (general, white, red, processed) and eggs, while females preferred plant-based drinks. No significant gender differences were observed for dairy products, legumes, or fish. Differences in food preferences were also observed according to the type of sport, with bodybuilders showing higher preference for tofu and dark chocolate. The strongest associations were found in the 25-44 age group.
Conclusions: Sports participation is independently associated with specific food preferences, characterised by greater preference for plant-based and fibre-rich foods, and gender differences in food choices persist even among active adults. These findings highlight the need to consider both sports participation and gender when designing nutritional interventions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12390595 | PMC |
http://dx.doi.org/10.3390/sports13080258 | DOI Listing |
Cereb Cortex
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Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
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Unit of Endocrinology, Diabetes Mellitus and Metabolism, Aretaieion Hospital, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
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Neuropsychology and Applied Cognitive Neuroscience Laboratory, State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Reward processing involves several components, including reward anticipation, cost-effort computation, reward consumption, reward sensitivity, and reward learning. Recent research has highlighted the cerebellum's role in reward processing. This study aimed to investigate the effects of cerebellar stimulation on reward processing using high-definition transcranial direct current stimulation (HD-tDCS).
View Article and Find Full Text PDFSports Med Open
September 2025
Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Newlands, Cape Town, 7725, South Africa.
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Department of Toxicology, Faculty of Medicine, Collegium Medicum, Rzeszów University, Al. mjr. W. Kopisto 2a, 35-959, Rzeszow, Poland.
ACP-105 (CAS: 1048998-11-3) is a novel non-steroidal selective androgen receptor modulator (SARM), increasingly detected in anti-doping analyses, yet lacking a comprehensive ADME profile. This study provides the first integrative in silico characterization of ACP-105's ADME properties using seven independent methods (ADMETlab 3.0, ADMET Predictor 12.
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