scholarly journals The Personal Food Systems of Pre-Season NCAA Division 1 High-Contact, Low-Contact, and Non-Contact College Athletes

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3670
Author(s):  
Jennifer Peluso ◽  
Takudzwa A. Madzima ◽  
Shefali Christopher ◽  
Svetlana Nepocatych

Previous research indicates that dietary habits may differ between athletes of different sports. In this cross-sectional study, we hypothesize meal frequency, food choices, and food preferences will significantly differ between contact types. The participants were athletes (n = 92; men: n = 57, body fat percent (BF%): 14.8 ± 8.4%, body mass index (BMI): 25.5 ± 5.5 kg·m−2; women: n = 36, BF%: 26.7 ± 7.3%, BMI: 22.3 ± 2.7 kg·m−2) from high-contact (HCS), low-contact (LCS), and non-contact (NCS) sports. Meal frequency, food preference, and food choice questionnaires assessed factors influencing dietary habits. Dual-energy X-ray absorptiometry (DXA) measured lean body mass, fat mass, and body fat. A GLM multivariate analysis was used with significance accepted at p < 0.05. Significant body composition differences were observed between genders (p < 0.001) and among sports (p < 0.001). Dinner (83.7%), lunch (67.4%), and breakfast (55.4%) were the most frequently eaten meals, followed by evening snack (17.8%), afternoon snack (15.2%), and morning snack (8.7%). Greater preferences for starches were observed for HCS (p = 0.04; η2 = 0.07) and for a greater preference for vegetables was found for NCS (p = 0.02; η2 = 0.09). Significant differences also existed in the importance of health (p = 0.04; η2 = 0.07), weight control (p= 0.05; η2 = 0.11), natural content (p = 0.04; η2 = 0.07), and price (p = 0.04; η2 = 0.07). These results support our hypothesis that food choices and food preferences differ between contact types. This may help sports dieticians create more individualized nutrition programs.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Preeti Dhuria ◽  
Wendy Lawrence ◽  
Sarah Crozier ◽  
Cyrus Cooper ◽  
Janis Baird ◽  
...  

Abstract Objectives To examine women’s perceptions of factors that influence their food shopping choices, particularly in relation to store layout, and their views on ways that supermarkets could support healthier choices. Design This qualitative cross-sectional study used semi-structured telephone interviews to ask participants the reasons for their choice of supermarket and factors in-store that prompted their food selections. The actions supermarkets, governments and customers could take to encourage healthier food choices were explored with women. Thematic analysis was conducted to identify key themes. Setting Six supermarkets across England. Participants Twenty women customers aged 18–45 years. Results Participants had a median age of 39.5 years (IQR: 35.1, 42.3), a median weekly grocery spend of £70 (IQR: 50, 88), and 44% had left school aged 16 years. Women reported that achieving value for money, feeling hungry, tired, or stressed, and meeting family members’ food preferences influenced their food shopping choices. The physical environment was important, including product quality and variety, plus ease of accessing the store or products in-store. Many participants described how they made unintended food selections as a result of prominent placement of unhealthy products in supermarkets, even if they adopted more conscious approaches to food shopping (i.e. written or mental lists). Participants described healthy eating as a personal responsibility, but some stated that governments and supermarkets could be more supportive. Conclusions This study highlighted that in-store environments can undermine intentions to purchase and consume healthy foods. Creating healthier supermarket environments could reduce the burden of personal responsibility for healthy eating, by making healthier choices easier. Future research could explore the interplay of personal, societal and commercial responsibility for food choices and health status.


2021 ◽  
Author(s):  
Cosima Nuszbaum ◽  
Mari Wollmar ◽  
Agneta Sjöberg

Abstract Background: This study investigates food preferences among individuals active in different sports. Since food intake affects the carbon footprint, it is of interest to investigate influencing factors of food choices regarding sustainability. Physically active individuals are in need for high intakes of energy and protein in order to maintain their performance. Little is known about what influence food choices in this population. Method: A survey of a sample of 367 individuals was conducted in German and Swedish gyms, climbing halls and CrossFit boxes. Therefore, a questionnaire was developed to capture information about factors influencing food choice and consumed protein sources. Kruskal-Wallis-test tested significant differences between sport groups and physical activity levels.Results: The most frequently consumed animal-based protein were dairy-products, and the most frequently used plant-based source were grains. Taste and health were the main influences on food choices. Significant differences were observed between sport groups and physical activity levels. Sustainability was ranked as moderately important, with the highest importance in people active in the outdoor sports running and climbing. Participants with high physical activity levels and active in CrossFit rated performance more important than the rest of the sample and consumed protein supplements, eggs and poultry more frequently. Conclusion: Differences in food choices between various sports and physical activity levels were identified. Understanding the underlying influences on food choices might help to motivate a shift towards a more sustainable diet in athletes.


2021 ◽  
Author(s):  
Cosima Nuszbaum ◽  
Mari Wollmar ◽  
Agneta Sjöberg

Abstract Background: This study investigates food preferences among individuals active in different sports. Since food intake affects the carbon footprint, it is of interest to investigate influencing factors of food choices regarding sustainability. Physically active individuals are in need for high intakes of energy and protein in order to maintain their performance. Little is known about what influence food choices in this population. Method: A survey of a sample of 367 individuals was conducted in German and Swedish gyms, climbing halls and CrossFit boxes. Therefore, a questionnaire was developed to capture information about factors influencing food choice and consumed protein sources. Kruskal-Wallis-test tested significant differences between sport groups and physical activity levels.Results: The most frequently consumed animal-based protein were dairy-products, and the most frequently used plant-based source were grains. Taste and health were the main influences on food choices. Significant differences were observed between sport groups and physical activity levels. Sustainability was ranked as moderately important, with the highest importance in people active in the outdoor sports running and climbing. Participants with high physical activity levels and active in CrossFit rated performance more important than the rest of the sample and consumed protein supplements, eggs and poultry more frequently. Conclusion: Differences in food choices between various sports and physical activity levels were identified. Understanding the underlying influences on food choices might help to motivate a shift towards a more sustainable diet in athletes.


2017 ◽  
Vol 47 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Mi-Kyeong Choi ◽  
Yu-Jin Cho ◽  
Myung-Hee Kim ◽  
Yun Jung Bae

Purpose The purpose of this study was to investigate the differences in night eating status according to adolescents’ body mass index (BMI). Design/methodology/approach This was a cross-sectional study that included a total of 688 middle-school students. The subjects were categorized as underweight, normal weight and overweight according to their BMI, and their night eating intake patterns, night eating menu preference and intake frequency were compared and analyzed. Findings With regard to their night eating frequency, 39.8 per cent replied almost never, while 24.3 per cent replied once a week and less and 22.5 per cent replied two to three times a week. Among 11 night eating menus, the preference for fast foods, confectioneries, street foods and noodles was significantly higher in the underweight group than in the overweight group. The intake frequency of night eating menus such as fast foods, confectioneries and breads increased in the following order: overweight, normal and underweight group. The underweight group had a higher frequency of night eating, and they preferred to eat snacks more frequently from their night eating menu. Originality/value In conclusion, it is necessary to form positive dietary habits including nighttime eating for proper dietary management of adolescents.


2017 ◽  
Vol 13 (6) ◽  
pp. 357-364 ◽  
Author(s):  
S. Frayon ◽  
S. Cherrier ◽  
Y. Cavaloc ◽  
G. Wattelez ◽  
Y. Lerrant ◽  
...  

2021 ◽  
Vol 8 (17) ◽  
pp. 1174-1180
Author(s):  
Srividya Kalavagunta ◽  
Sravani Kuppam ◽  
Uma M ◽  
Srinivas Gunda ◽  
Archana Bhat

BACKGROUND With the availability of more sophisticated methods, the utility of body mass index (BMI) as a measure of obesity and body fat estimation is being questioned. The current study aims to compare the estimation of body fat derived from BMI to that of directly measured bio impedance analysis (BIA). METHODS This is a cross sectional study conducted among IT employees of Bangalore City. Body fat % estimated from BMI using formula (adult BF = (1.20 x BMI) + (0.23 x age) - (10.8 x sex) - 5.4 where value for male = 1 & female = 0) and bioimpedance analysis (BIA) was compared using Bland-Altman analysis. RESULTS A total of 6901 participants were included and out of 6901 participants, 67.63 % were women. The mean age was 29.6 ± 6.68 years. The mean of the difference in body fat % calculated from BMI and estimated by BIA was 3.29, (- 9.99 to + 16.58 %). The mean difference was 3.43, (- 9.58 to + 16.45 %) and 2.89, (- 10.90 to + 16.68 %) among men and women respectively. CONCLUSIONS The results showed that the body fat estimated by BMI varies significantly from body fat estimated from BIA. KEYWORDS Obesity, Body Mass Index, Body Fat Percentage, Bioelectrical Impedance


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