Consumer knowledge, attitudes, and behaviour regarding food safety - A perspective from Laos.

Primary research data on food chain safety at consumer level is needed to help policymakers to decrease the risk of foodborne infections in the Lao People's Democratic Republic. Therefore, the objectives of this study are to 1) determine Lao people's food safety knowledge, attitudes, and intentions and identify the most influential factors that shape their food safety behaviour, and 2) to support the government in the development of more efficient risk communication programmes. A paper-based consumer survey was implemented to collect quantitative data on the selected topics about Laotian consumers, as well as on the equipment of households regarding the conditions and tools necessary for safe food preparation and storage. A model was developed based on the extended Theory of Planned Behaviour (TPB), and partial least squares structural equation modelling (PLS-SEM) was applied to analyse the factors that affect food safety behaviour. The elements of Knowledge and Perceived Behavioural Control positively influence behaviours, such as using separate chopping boards for raw and ready-to-eat foods. According to the model, only 10 % of the Intentions would be translated into Behaviours, which gap can be explained by the lack of a hygienic environment. Although the survey indicated that Laotian people intend to follow food safety guidelines, participants felt they lacked sufficient knowledge. This perception was validated by the knowledge test and behavioural part of the study. In the light of these findings, it is essential to raise awareness and promote food safety knowledge and interventions, such as enhancing food safety education in childhood. This would help to facilitate and encourage adopting safe practices to improve overall food safety at the consumer level, delivering positive impacts also to the food business sector.

Metabolic Syndrome and Biotherapeutic Activity of Dairy (Cow and Buffalo) Milk Proteins and Peptides: Fast Food-Induced Obesity Perspective-A Narrative Review.

Metabolic syndrome (MS) is defined by the outcome of interconnected metabolic factors that directly increase the prevalence of obesity and other metabolic diseases. Currently, obesity is considered one of the most relevant topics of discussion because an epidemic heave of the incidence of obesity in both developing and underdeveloped countries has been reached. According to the World Obesity Atlas 2023 report, 38% of the world population are presently either obese or overweight. One of the causes of obesity is an imbalance of energy intake and energy expenditure, where nutritional imbalance due to consumption of high-calorie fast foods play a pivotal role. The dynamic interactions among different risk factors of obesity are highly complex; however, the underpinnings of hyperglycemia and dyslipidemia for obesity incidence are recognized. Fast foods, primarily composed of soluble carbohydrates, non-nutritive artificial sweeteners, saturated fats, and complexes of macronutrients (protein-carbohydrate, starch-lipid, starch-lipid-protein) provide high metabolic calories. Several experimental studies have pointed out that dairy proteins and peptides may modulate the activities of risk factors of obesity. To justify the results precisely, peptides from dairy milk proteins were synthesized under in vitro conditions and their contributions to biomarkers of obesity were assessed. Comprehensive information about the impact of proteins and peptides from dairy milks on fast food-induced obesity is presented in this narrative review article.

Possibilities and limits of modelling of long-range economic consequences of air pollution - A case study.

Air pollution is the biggest environmental problem in modern societies, causing considerable health damage and requiring substantial financial resources for health care. The goal of the study is to demonstrate the adverse economic consequences of air pollution on example of a small, open Central European country, Hungary, and to provide quantified financial arguments for macroeconomic decision-making for the development of a long-term energy strategy. On the basis of the Cobb-Douglas production function and Solow-Swann model of dynamic economic systems a simple and robust model was constructed to estimate and predict economic losses, caused by the pollution. On base of results it is obvious, that on base of macroeconomic theory and combination of various, publicly available, quality-controlled statistical resources quantifiable models can be constructed to characterise the economic consequences of air pollution, but it should be taken into consideration, that the reliability of economic models considerably depends on their initial parameters and practical validity of assumptions, based on which the underlying economic theories were built. The most important economic burden of air pollution is caused by the loss of working-age population, resulting in a decrease of 4.1-9.4 % a year in Gross Domestic Product (GDP) in the next fifty years. The additional burden of health care costs amounts to 0.1 % of GDP. Reducing air pollution is not only a quality of life improvement but also an investment into the economic development. Notwithstanding of statistical biases it could be proven the importance of combination health economic and econometric methods in preparation of more efficient environmental-related socio-economic decisions.

Impact of global trade agreements on agricultural producer prices in Asian countries.

Following global trade agreements, Asian countries have been highly aggressive in implementing free trade. These conditions will impact all sectors, including agriculture. This study aims to examine the impact of the General Agreement on Tariffs and Trade (GATT), World Trade Organization membership (WTO), and the Doha Round implementations on agricultural producer prices in Asian countries (PPI). The study was conducted using secondary data from 1991 to 2020. The data for 28 Asian countries were analyzed using the first difference General Method of Moments (GMM). The results show that implementing the GATT raises the PPI, but implementing the WTO has the reverse impact. PPI is unaffected by the Doha Round. Inflation, exchange rate, value-added, human capital, and land area equipped for irrigation are all positive contributors to PPI. Several recommendations are made to increase PPI in Asian countries: increasing commitment to agricultural fair trade, increasing agricultural value-added, improving educational opportunities for agricultural business players, and prioritizing agricultural infrastructure investment.

Evaluation of the reliability and educational quality of YouTube™ videos on sport nutrition topics.

BACKGROUND: YouTube is one of the most widespread social media channels, which is of growing importance in science communication and health education. The validity of medical and health-related information available on YouTube cannot be assured, and videos often contain potentially misleading or inaccurate information. Communication on sport nutrition may have a profound effect on the change in nutrition behavior among athletes, so evidence-based nutrition information must reach athletes. The main goal of the research is to evaluate the quality, reliability, and applicability of sports nutrition YouTube videos as educational material for athletes. METHODS: A descriptive cross-sectional design was applied, and a systematic search was performed on YouTube. The quality and reliability of the videos were evaluated by applying the most frequently used and highly reliable scoring systems in the literature (e.g., DISCERN, Global Quality Score, and JAMA criteria) and a sports nutrition-specific scoring system (SNSS). Descriptive statistical analyses, two-sample t-test, Spearman correlation, Kruskal - Wallis, and Mann - Whitney U test were used to evaluate the results. A total of 114 YouTube videos met the inclusion criteria. RESULTS: In 25% of the videos, the sports nutrition information was presented by a dietitian, while in two-thirds, coaches and athletes and other professionals shared sports nutrition knowledge. In terms of video content, the three most common topics were nutrition and health (33%), special diets (21%), and the training diet (17%). For the majority of the videos that received low GQS, JAMAS, DISCERN, and SNSS scores, the accuracy and quality of the analyzed YouTube videos on sports nutrition were inadequate. Videos uploaded by dietitians achieved significantly higher DISCERN, JAMAS, GQS, and SNSS scores. The GQS, SNSS, and DISCERN scores of videos from sports organizations, nonprofit organizations, and independent user sources were lower compared to videos uploaded by academic and professional organizations. Popular sport nutrition videos among users that contain personal stories or the experiences of athletes were deemed less reliable by experts or showed lower educational quality. Henceforth, we found a negative correlation between video popularity and JAMAS, GQS, and SNSS scores. CONCLUSION: This study revealed that sports nutrition videos on the YouTube video platform show low accuracy and reliability. Professionals working with athletes need to consider misconceptions from sports nutrition videos in their nutrition counseling practice. Due to the popularity of the videos, professionals and professional organizations could use YouTube as an online educational tool to increase the nutrition knowledge of athletes.

Perceived transaction cost and its antecedents associated with fintech users' intention: Evidence from Pakistan.

Researches depict a considerable degree of acknowledgment of financial technology improvement in Pakistan. However, the costs blocking clients' intention to utilize financial technology remain dubious. Building upon Transaction Cost Economics and Innovation diffusion theory, this paper hypothesizes that consumers' transaction cost of fintech is affected by nine antecedents: perceived asset specificity, complexity, product uncertainty, behavioral uncertainty, transaction frequency, dependability, limitations, convenience, and economic utility. Transaction cost has a negative relationship with consumers' intentions to use fintech for online buying or availing services. We tested the model using data gathered from the individuals. The results show that factors that are positively related to consumers' perceived transaction cost, among them product uncertainty (ß = 0.231) is the greatest of factors, followed by behavior uncertainty (ß = 0.209) and asset specificity (ß = 0.17), those that are negatively associated are dependability (ß = 0.11), and convenience (ß = 0.224). The study is limited in scope, focusing primarily on cost factors. Future research may analyze additional cost-related elements and the actual use of financial technology by using samples from different countries.

The prognostic role of ultrasound and magnetic resonance imaging in obstructive sleep apnoea based on lateral oropharyngeal wall obstruction.

PURPOSE: This study examined the prognostic value of the lateral pharyngeal wall (LPW)-based obstruction and obstructive sleep apnoea (OSA) prediction using ultrasound (US) and MRI (magnetic resonance imaging). METHODS: One hundred patients with and without OSA were enrolled, according to overnight polysomnography. The LPW thickness (LPWT) was measured using a Philips Ingenia 1.5 T MRI device, and US measurements were carried out at rest and during Müller's manoeuvre (MM) with a Samsung RS85 device. The obstruction was localised under drug-induced sleep endoscopy. RESULTS: Significantly greater LPWT using MRI was observed in the OSA group compared to the control group, while US results showed a significant difference only in the case of LPWT during MM on the left side. Obese patients presented significantly higher LPWT values. A significant correlation between BMI and LPWT was observed. Men presented significantly higher LPWT MRI values and left-sided LPWT using US compared to women. LPWT and AHI parameters were significantly correlated. The severity of LPW obstruction correlated with LPWT, while the LPW collapse significantly correlated with AHI. The severity of LPW collapse differed depending on the AHI values. Using US LPWT values and anthropometric parameters, a 93% effectiveness in OSA prognostication and 89% in LPWT-based obstruction were detected. MRI detected OSA in 90% and LPW-based obstruction in 84%. US successfully detected LPW-based collapse severity in 67%. CONCLUSION: US LPWT measurements were helpful in detecting OSA and LPWT-based obstruction. These examinations may be useful for surgical planning.

Impact of the Russian-Ukrainian Conflict on Global Food Crops.

The Russian-Ukrainian conflict has been proven to cause significant losses of life and goods on both sides. This may have potentially impacted the agricultural sector. This study examines the impact of the conflict between Russia and Ukraine on the global food situation. We performed a descriptive analysis and literature review to answer this objective. Russia and Ukraine play essential roles in world food production and trade. However, the war has disrupted food production in Ukraine. Estimated Ukrainian wheat, soybean, and maize production in 2022-2023 fell precipitously. On the other hand, Russian production of these three food products shows positive growth during the same period. Furthermore, the global supply chain and food trade are hampered, causing an increase in the world's food prices. From March to May 2022, the average global price of wheat, soybeans, and maize increased dramatically compared to during and before the COVID-19 pandemic. Finally, this poses a danger to global food security, particularly for low-income countries that depend heavily on food imports from both countries. Therefore, all countries must be prepared for the possibility that the Sustainable Development Goals cannot be achieved.

The Predictive Role of Subcutaneous Adipose Tissue in the Pathogenesis of Obstructive Sleep Apnoea.

INTRODUCTION: Our aim was to investigate the applicability of artificial intelligence in predicting obstructive sleep apnoea (OSA) and upper airway obstruction using ultrasound (US) measurements of subcutaneous adipose tissues (SAT) in the regions of the neck, chest and abdomen. METHODS: One hundred patients were divided into mild (32), moderately severe-severe (32) OSA and non-OSA (36), according to the results of the polysomnography. These patients were examined using anthropometric measurements and US of SAT and drug-induced sleep endoscopy. RESULTS: Using SAT US and anthropometric parameters, oropharyngeal obstruction could be predicted in 64% and tongue-based obstruction in 72%. In predicting oropharyngeal obstruction, BMI, abdominal and hip circumferences, submental SAT and SAT above the second intercostal space on the left were identified as essential parameters. Furthermore, tongue-based obstruction was predicted mainly by height, SAT measured 2 cm above the umbilicus and submental SAT. The OSA prediction was successful in 97% using the parameters mentioned above. Moreover, other parameters, such as US-based SAT, with SAT measured 2 cm above the umbilicus and both-sided SAT above the second intercostal spaces as the most important ones. DISCUSSION: Based on our results, several categories of OSA can be predicted using artificial intelligence with high precision by using SAT and anthropometric parameters.

The Predictive Role of the Upper-Airway Adipose Tissue in the Pathogenesis of Obstructive Sleep Apnoea.

This study aimed to analyse the thickness of the adipose tissue (AT) around the upper airways with anthropometric parameters in the prediction and pathogenesis of OSA and obstruction of the upper airways using artificial intelligence. One hundred patients were enrolled in this prospective investigation, who were divided into control (non-OSA) and mild, moderately severe, and severe OSA according to polysomnography. All participants underwent drug-induced sleep endoscopy, anthropometric measurements, and neck MRI. The statistical analyses were based on artificial intelligence. The midsagittal SAT, the parapharyngeal fat, and the midsagittal tongue fat were significantly correlated with BMI; however, no correlation with AHI was observed. Upper-airway obstruction was correctly categorised in 80% in the case of the soft palate, including parapharyngeal AT, sex, and neck circumference parameters. Oropharyngeal obstruction was correctly predicted in 77% using BMI, parapharyngeal AT, and abdominal circumferences, while tongue-based obstruction was correctly predicted in 79% using BMI. OSA could be predicted with 99% precision using anthropometric parameters and AT values from the MRI. Age, neck circumference, midsagittal and parapharyngeal tongue fat values, and BMI were the most vital parameters in the prediction. Basic anthropometric parameters and AT values based on MRI are helpful in predicting OSA and obstruction location using artificial intelligence.

Women's Footprint in Anti-Doping Sciences: A Bibliometric Approach to Research Impact.

Bibliometrics, via the exploitation of large-scale publication data, is a facile approach to explore gender-related trends, especially gender equality in academic publishing and authorship. For the first time, this study aims to investigate the gender-related trends in anti-doping sciences to (1) explore the relational structure of gender aspects of authorial, topical, and methodological features, (2) give recognition to women's contribution to anti-doping research, and (3) identify unique "gendered" potentials for advancing anti-doping research. To deliver on these aims, we employed bibliometric tools to publication records in anti-doping. After constructing a database containing academic publications on any aspect of anti-doping with at least one woman among the authors, we applied state-of-the-art methods from bibliometric science mapping and network analysis. The Lotka distribution model showed that the anti-doping research is a closed community with only 70 authors appearing more than once. Male authors being the majority (66.2%), women are under-represented in this field. The most important authorship position in the academic articles is mainly occupied by men, publications with male corresponding authors were in 774 out of 991 anti-doping related papers. The close connection of the top twenty most influential authors, men and women, to the World Anti-Doping Agency in some professional capacity suggest that the Agency have an influence on the anti-doping research beyond directly providing funding. In terms of geographical regions, publications with female authors were dominated anti-doping research in Italy, Romania, and Spain. In research networks to date, women have outperformed male authors in information centrality, which means that women in anti-doping research have had higher level of control over the information flow in the field than their male counterparts. The results of this study confirm the potential of bibliometric approach in the identification of emerging research topics and quantifying gender differentiation in the field of anti-doping. Due to their higher information centrality, women are better positioned for problem-focused multidisciplinary research both within anti-doping community, and with researchers in cognate fields. Bibliometric analyses have proved to be a powerful tool for monitoring and advancing anti-doping research impact via identifying new avenues for multidisciplinary work, better gender representation, and diversity.

Effects of Corruption Control on the Number of Undernourished People in Developing Countries.

Developing countries will be home to 85% of the world's population by 2030. Hence, it is important to ensure food security for them. This effort is not easy, as the number of undernourished people (NUP) in the world has increased. We investigated the impact of food and non-production factors on the NUP in developing countries. This study employed secondary data from 57 developing countries between 2002 and 2018. These countries come from three regions, namely Africa, Asia, and Latin America and the Caribbean. One-step and two-step generalized method of moments (sys-GMM) models were used to analyze the data. The findings showed that the food production index, cereal import dependency ratio, economic globalization index, and human capital index had different effects on the NUP in each region. The excellent news is that corruption control can help developing countries minimize their NUP. Based on the findings, we propose efforts to improve physical and economical food access and control corruption, and developing country governments and the international community must demonstrate a strong commitment to reducing the prevalence of undernourishment.

Is it really organic? Credibility factors of organic food-A systematic review and bibliometric analysis.

Consumer trust and organic food product credibility play a crucial role in understanding consumer behavior. The aim of this review is to identify extrinsic factors which influence consumers' perceived trust in organic food. The research was conducted based on the PRISMA guidelines. During our search, 429 articles were found, from which 55 studies were selected for further analysis. To assess the connection between the selected articles, a bibliometric analysis was done with VOSViewer and CitNetExplorer software. The following factors were identified as influencing the credibility of organic food: labeling, certification, place of purchase, country of origin, brand, price, communication, product category, packaging. From these, labeling, certification, and country of origin are well-researched factors in relation to credibility. The significance of the other discovered factors is supported; nonetheless, further research is needed to evaluate their effect on consumer trust.

Analysis of the most important features of obstructive sleep apnoea / Az obstruktív alvási apnoe fobb jellemzoinek vizsgálata

Introduction and objective: Obstructive sleep apnoea results in metabolic and cardiovascular disorders due to inter- mittent hypoxia. The main aim of the present study was to analyze the most important features of obstructive sleep apnoea, using anthropometric measurements and blood tests. Material and method: In this prospective investigation, 100 patients (74 male and 26 female patients, mean age +/- SD years, 42.15 +/- 12.7) were enrolled. These patients were divided into control (n = 36) and obstructive sleep apnoea (n = 64) groups regarding the results of polysomnography. The examination of the patients consisted of detailed anamnestic data, anthropometric measurements, laboratory test and the use of apnoea questionnaires. Results: In the obstructive sleep apnoea group, significantly higher neck (p<0.015), hip and abdomen circumfer- ences and BMI values (p<0.000) were observed. Significantly higher ratio of male patients in the case of obstructive sleep apnoea was detected (p<0.000). In the control group, only the neck circumferences differed significantly be- tween the two genders (p<0.000), but in the obstructive sleep apnoea group the neck (p = 0.001) and abdominal circumferences (p = 0.028) have also differed. Hypertension (64% and 21%) and type 2 diabetes mellitus (6.4% and 0%) were more frequent in the obstructive sleep apnoea group, while cardiovascular disorders (1% and 2.7 %) and gastroesophageal reflux disease (4.71% and 5.42%) in the control group. BMI values were significantly positively cor- related with the neck, abdominal and hip circumferences, both in the control and obstructive sleep apnoea groups. Moreover, in the control group, a significant negative correlation between HDL-cholesterol and BMI, neck and abdominal circumferences was observed. Conclusion: Obesity, as one of the most important risk factors for obstructive sleep apnoea and the intermittent hypo- xia contribute to the development of comorbidities. The diagnosis and therapy of the comorbidities is of great im- portance due to their effects on the patients' quality of life.

Economic affordability of food as a component of the economic security of Ukraine.

Economic security can be considered as an economic aspect of the life of an individual or household that provides the opportunity to achieve financial stability and improve living standards. In this context, understanding the impact of economic affordability of food on the economic security of the country is of great importance. The authors propose to use the indicator of economic affordability of food for in-depth analysis of the economic security of the country. Indicators that determine the level of economic affordability of food products in Ukraine for 2000-2018 are calculated. The regression analysis made it possible to establish a close relationship between the indicators of food expenditures and the level of GDP per capita, between the level of income and expenditure of food of decile groups. Correlation coefficients between the consumption of six basic foodstuffs and the level of per capita income in Ukraine are determined. The obtained indicators, which determine the economic affordability of food, allow us to conclude that there is a lack of economic protection at the level of individual low-income households. Overcoming economic instability and minimizing the possible consequences of the low level of economic affordability of food should become one of the main tasks of Ukraine's economic security.

Examination of the diaphragm in obstructive sleep apnea using ultrasound imaging.

PURPOSE: The aim of this study was to analyze the effect of obstructive sleep apnea (OSA) on the ultrasound (US) features of the diaphragm and to determine if diaphragmatic US may be a useful screening tool for patients with possible OSA. METHODS: Patients complaining of snoring were prospectively enrolled for overnight polygraphy using the ApneaLink Air device. Thickness and motion of the diaphragm during tidal and deep inspiration were measured. Logistic regression was used to assess parameters of the diaphragm associated with OSA. RESULTS: Of 100 patients, 64 were defined as having OSA. Thicknesses of the left and right hemidiaphragms were significantly different between OSA and control groups. Using a combination of diaphragmatic dimensions, diaphragm dilation, age, sex, and BMI, we developed an algorithm that predicted the presence of OSA with 91% sensitivity and 81% specificity. CONCLUSION: A combination of anthropometric measurements, demographic factors, and US imaging may be useful for screening patients for possible OSA. These findings need to be confirmed in larger sample sizes in different clinical settings.

The impacts of economic globalization on agricultural value added in developing countries.

Countries in the world have various indices for the implementation of economic globalization (EG). This refers to positive and negative impacts arising from its implementation, especially in agriculture. This sector is still a basic source of existence in developing countries. At the same time, these countries have been unable to optimize their agricultural value-added (AVA) and only earn a low level of income. That way, developing countries need to take advantage of EG to increase income from agricultural exports and farmers' welfare. Other than that, there has been no study examining the impacts of EG on AVA in developing countries. So, this study intends to evaluate the impacts of the exchange rates, foreign direct investment (FDI) inflows, total agricultural export values, agricultural import duties, and fertilizer imports on AVA in developing countries. The panel data technique is used to assess its impact in 17 developing countries during 2006-2018. The study showed that FDI inflows and agricultural export values increase AVA in developing countries. In this study, EG positively impacts developing countries, but its implementation must pay attention to achieve sustainable development goals. We recommend developing countries focus on investments in human capital and technologies (or R&D), ensure foreign investors collaborate with local agricultural firms, increase agricultural exports, and create a conducive economic system.

I Believe It Is Healthy-Impact of Extrinsic Product Attributes in Demonstrating Healthiness of Functional Food Products.

Due to the high proportion of impulse purchases and the short time devoted to purchase decisions, packaging and other extrinsic attributes are becoming increasingly important in demonstrating the health benefits of a functional food item to consumers as plausibly as possible. Our research aims at identifying the role of extrinsic features (claims related to ingredients and health claims, organic or domestic origin, as well as the shape and color of packaging), gathered in the course of in-depth literature analysis, in the case of a functional smoothie. Our online consumer questionnaire was completed by 633 respondents, and the answers were assessed by choice based conjoint analysis. Our results show that each examined attribute plays a role in the assessment of health effects. The color blue has the biggest impact on making the consumer believe in the health benefits of the product. This is followed by the indication of organic origin, then the statement emphasizing the natural quality of the ingredients. The assessment of the specific extrinsic attributes is affected by consumers' general health interest level, their involvement with food items, and their various demographic features.

Measuring Athletes' Perception of the Sport Nutrition Information Environment: The Adaptation and Validation of the Diet Information Overload Scale among Elite Athletes.

The exponentially growing quantity of nutrition information creates a new situation and challenge for every stakeholder, from athletes, coaches and nutritionists to policymakers. To measure the perception of the information environment related to healthy eating, the diet information overload scale was developed. The scale consists of eight items, measuring the perceived importance of pieces of information overload on Likert-type scales. The objective of the study was to test the applicability and validity of the diet information overload scale among athletes. A cross-sectional validation study was conducted with elite athletes (n = 177). To validate each item of the scale, we applied Cronbach's alpha test, and the inner consistency of the scale was analyzed with linear correlation coefficients of the different variables. To evaluate the relationship between question groups, we applied factor analysis. The different fit indices showed a good fit to the model; the Root Mean Square Error of Approximation (RMSEA) value was 0.09 and the Tucker-Lewis index (TLI) value was 0.84. The indicators of reliability (α based upon the covariances = 0.81) produced suitable results; thus, the sport nutrition information overload scale showed high reliability and applicability. Based on the sport nutrition information overload scale, further analysis could be carried out on how to optimize the content of key pieces of sport nutrition-related information.

Structure and trends of international sport nutrition research between 2000 and 2018: bibliometric mapping of sport nutrition science.

BACKGROUND: The tool kits of bibliometrics and science mapping provide a standard methodology to map the knowledge base of specific fields of science. The aim of the present research is the analysis of the recent international trends of sport nutrition science, as well as the primary identification of the research topics and results of sport nutrition science via enhanced bibliometric methods for the 2000-2018 time period. METHODS: Altogether, 3889 publications were included in this study. We identified the most relevant sport nutrition topics by running a community detection algorithm on the proximity network constructed via network text analysis. The key issues and key concepts of sport nutrition topics as well as their relations were evaluated via network analysis. Besides, we carried a chronological analysis of topics out and a scientometric evaluative analysis was also created. RESULTS: We identified the four main basic groups from which the 18 most characteristics topics were analyzed. The 18 topics are the following: 'soccer and physiology', 'carbohydrate metabolism', 'muscle physiology: alkalosis and acidosis', 'muscle mass gain and dietary supplementation', 'fluid balance and hydration', 'dietary intake and nutrition knowledge', 'determination of energy need of athletes', 'bone health and female athlete triad', 'hydration strategy', 'body weight management', 'nutritional strategies and human skeletal muscle', 'dietary supplementation of nitrates', 'oxidative stress and dietary supplement use', 'dietary supplement use and doping', 'oxidative stress and inflammation and dietary antioxidants', 'exercise adaptation and nutritional strategies', 'gut microbiota', 'celiac disease'. Regarding the size of the topic, researches on sport nutrition science have put the focus on the following three groups: 'muscle mass gain and dietary supplementation', 'carbohydrate metabolism', 'oxidative stress and dietary supplement use'. The greatest scientific impact can be ascribed to the following topics: 'nutritional strategies and human skeletal muscle', 'dietary supplementation of nitrates', 'body weight management', and 'gut microbiota'. CONCLUSIONS: Scientific output on sport nutrition has continuously been rising between 2000 and 2018. The ratio of topics related to sport nutrition but predominantly connected to basic research has decreased significantly within all publications. The results of this study confirm the role of science mapping in the identification of specific research topics and primary research directions in the field of sport nutrition science.