From: Determinants of Food Choice in Athletes: A Systematic Scoping Review
Item | 2014a Birkenhead [36] | 2018 Tesema and Mohan [27] | 2018b Pelly et al. [25] | 2019b Thurecht and Pelly [30] | 2019 Pelly and Thurecht [29] | 2019 Blennerhassett et al. [28] | 2020b Thurecht and Pelly [32] | 2020 Stickler et al. [31] |
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Title | Nutrition knowledge, food choice motives and eating behaviours of triathletes | Determinants of athletes’ food choice motives in Ethiopian premier league football clubs | Factors influencing food choice of athletes at international competition events | Development of a new tool for managing performance nutrition: The Athlete Food Choice Questionnaire | Evaluation of athletes’ food choices during competition with use of digital images | Factors influencing ultra-endurance athletes food choices: An adapted food choice questionnaire | Key factors influencing the food choices of athletes at two distinct major international competitions | Runner’s health choices questionnaire: female collegiate cross-country runners’ perspectives on health and eating |
Study design | Cross-sectional Observational | Cross sectional Observational | Cross sectional Observational | Cross-sectional Validation study | Cross sectional Observational | Cross sectional Observational | Cross-sectional Observational study | Cross sectional Observational |
Study aim | To explore the nutrition knowledge, eating behaviours and factors important in the food choices of recreational triathletes compared to an age-matched group not currently participating in triathlon | To explore the key factors of food choice motives of football players in Ethiopian premier league clubs and to examine the relative importance of these factors | To investigate the influence of a selection of factors relevant to athletes that could potentially influence their food choice during two competition events | To develop and refine an Athlete Food Choice Questionnaire (AFCQ) to determine the key factors influencing food choice in an international cohort of athletes | To describe the food selection of athletes in a buffet-style dining hall setting in terms of diet quality, food variety, and volume of food. Compare to self-rating of their meal, reasons for choosing the food items, access to previous nutrition advice, and use of nutrition labelling | To assess the importance of factors that influence food choice in Ultra-endurance athletes in preparation for competition using a valid and reliable tool | To identify the key factors influencing the food choices of a diverse cohort of athletes, explore the differences in outcome between two events and describe differences across sport, history of competition and other demographic characteristics | To assess female collegiate cross-country runners’ perspectives regarding sport-related health and the factors impacting eating behaviours |
Participants | ||||||||
Sample size | n = 298 (164 triathletes and 134 non-triathlete) | n = 100 | n = 769 (351 Delhi 2010 and 418 Melbourne 2006) | n = 156 | n = 81 | n = 101 | n = 385 (153 Universiade and 232 Commonwealth Games) | n = 353 |
Sex | Male 152 (50%) Female 146 (49%) | Male 100 (100%) | Male 400 (52%) Female 366 (48%) | Male 64 (42%) Female 90 (58%) | Male 39 (48%) Female 42 (52%) | Males 74 (73%) Females 27 (27%) | Male 147 (41%) Female 208 (59%) | Female 353 (100%) |
Age (years) | < 35–38% ≥ 35–62% | Not specified | Categorical–majority (40%) 19–24 | 21.5 ± 2.3; 18–28 (mean ± SD; range) | 25; 15–60 (median; range) | Male 41.7 ± 8.1, Female 39.0 ± 9.6 (mean ± SD) | 25 ± 7; 18–71 (mean ± SD; range) | 19.5 ± 1.3 (mean ± SD) |
Athlete level (as described by authors) | Active participants completing > 6 h/week of physical activity Non-triathlete: 28.4% Triathlete: 89.6% | Ethiopian Premier League | Athletes competing at the 2006 and 2010 Commonwealth Games | Athletes competing at the 2017 Universiade | Athletes competing at 2018 Commonwealth Games | Training hours per week –< 10 h (55.4%), 11-20 h (39.6%), > 20 h (3.0%), | Athletes competing at 2017 Universiade and 2018 Commonwealth Games | NCAA Divisions I (n = 112, 44%), II (n = 99, 39%), and III (n = 42, 17%) |
Sport(s) | Triathlete (55%) (recreational, one elite and six open participants) Non-triathlete (45%) | Football (soccer) | Mixed—Power/sprint (25%), aesthetic (18%), endurance (14%), skill (13%), weight (13%), racquet (10%) and team (7%) | Mixed (17, 77.3% sports) Team (56.5%) Individual (43.5%) | Mixed (24 sports) Team (33%), endurance (24%), weight (19%), power/sprint (15%) and racket (8%) | Ultra-endurance sport: distance runner (69%), triathletes (21%), adventurers (5%) and cyclist (5%) | Mixed (29 sports) Weight (17%), power/sprint (16%), endurance (18%), racquet (8%), team (37%) and skill (11%) | Cross country running |
Athlete cultural background | Not specified | Not specified | Mixed—Africa (18%), Australia/ New Zealand (9%), Canada (7%), Caribbean (10%), India/ Sri Lanka (27%), Asia Pacific (16%) and West Europe (14%) | Mixed (31, 23% countries)—Africa (13%), Europe/ United Kingdom (40%), Asia (10%), Pacific region (14%) and North and South America (24%) | Mixed (58 countries)—Africa (24%), Australia/ New Zealand (22%), British Isles (24%), Canada (10%), Caribbean (6%), Asia/Pacific (15%) | Not specified | Mixed (69 countries)—Australia/New Zealand (14%), Canada (18%), United Kingdom (8%), Africa (20%), Asia (10%), Europe/ Middle East (12%), South America/ Pacific Isles/ Caribbean (19%) | White/non-Hispanic (80%), Hispanic or Latino (9%), Black (5%), Asian (4%) and Native American or Native Hawaiian (2%) |
Context | ||||||||
Country Study; author | Australia; Australian authors | Ethiopia; Indian authors | India and Australia; Australian authors | Taiwan; Australian authors | Australia; Australian authors | England; United Kingdom authors | Taiwan and Australia; Australian authors | United States; American authors |
Competition phase | Pre-competition Recruited in the 3Â months prior to the Noosa 2012 Triathlon | Not specified | In competition | In competition 34% event/s not finished 66% event/s completed | In competition 69% event/s not finished 31% event/s completed | Pre-competitive assorted competition events not specified | In competition 56% event/s not finished 44% event/s completed | Not specified |
Food setting/ environment | Not specified | Not specified | Live in village, buffet style, food provided, self-select, no cost | Live in village, buffet style, food provided, self-select, no cost | Live in village, buffet style, food provided, self-select, no cost | Not specified | Live in village, buffet style, food provided, self-select, no cost | Not specified |
Concept | ||||||||
Methods for reporting food choice | Questionnaire: Importance five-point Likert scale Adapted from the Food Choice Questionnaire (FCQ)–Revised version by Lockie et al. 2002. Pilot tested (n = 16) Factors rated: health, weight, performance, mood, convenience, sensory appeal, natural content, price, familiarity, animal welfare, environmental protection, political values and religion | Questionnaire: 13 food choice factors Note: appears to be the adapted FCQ used in Birkenhead’s thesis | Questionnaire: Importance five-point Likert scale Factors rated: nutrient content, visual appearance, smell, familiarity, stage of competition, time of day, proximity to entrance, presence of teammates, presence of coach | Questionnaire: Frequency five-point Likert scale Groups: sensory attributes, convenience and access to food, usual eating practices, food production and marketing, emotional influences, food and health awareness, nutritional attributes of the food, performance, influence of others, and situational influences | Questionnaire: Open ended questions Self-reported influences on their food selection. Answers were analysed into themes based on the categories Athlete Food Choice Questions (AFCQ) | Questionnaire Phase 1: Pilot tested 84-item questionnaire. Adapted Food Choice Questionnaire for ultra-endurance athletes (U-FCQ) Phase 2: U-FCQ Importance seven-point Likert scale Factors rated: access, convenience, mood, sensory appeal, ethical concern, allergy, health, physique, trust, somatic, event and familiarity | Questionnaire: Frequency five-point Likert scale AFCQ and 11 additional items; availability, cost, convenience, eating location, doping concerns, gut comfort, hunger, the meal, busy schedule, and medical conditions and food allergies Open ended questions asked about additional factors that may influence food choices | Questionnaire: Runner’s Health Choices Questionnaire Response options (no, minimal, moderate or high impact and neutral/ don’t know) Rate how much of an impact you feel the following 13 factors have on your choice of: Overall diet; and, Daily meal decisions |
Relative to food environment | General food environment over the past 3 months | General food environment | Current food environment | General food environment | Current food environment–specific to current meal | General food environment and competition | General food environment | General food environment |
Other outcomes | General Nutrition Knowledge Questionnaire: Three Factor Eating Questionnaire | N/A | N/A | Phase of competition and competition history | Sources of nutrition information, dietary regimens, self-rating of food selection Digital images of meals Quantitative and qualitative nutritional analysis | Dietary restrictions (habitual, pre-competition and during competition) | Phase of competition and competition history | Factors that impact overall health and running performance, sources of nutrition information |
Outcome | ||||||||
Determinants of food choice | Health Performance Price Sensory appeal Natural content Convenience Weight Mood Familiarity Animal welfare Political values Environmental protection | Health Weight control Price Sensory appeal Environmental protection Natural contents Familiarity Religion Mood Convenience Political value Animal welfare | Nutrient composition Stage of competition Familiar food Time of day Smell Visual appearance Teammates Proximity to entry Coach | Nutritional attributes Emotional influences Food /health awareness Influence of others Usual eating practices Weight control Food values and beliefs Sensory appeal Performance | Nutritional attributes (macronutrient content of food, content in meal) Sensory factors Performance Usual eating practices (food preference or familiarity) Influences reported in smaller numbers: Food/health awareness, emotional influences, weight control, influence of others Physiological reasons (gut comfort, hunger, satiety) Other factors (weather/climate, availability, health condition) | Equal mean rating—Event, somatic Sensory Health Equal mean rating Nutrients, physique trust Feelings Access Convenience Time Important: Provide me with energy’, ‘do not cause me gastrointestinal discomfort’ ‘Nutritious’ ‘Tastes good’, ‘are good quality products’ and ‘keeps me healthy’ | Performance Sensory appeal Food and health awareness Weight control Top additional items: Hunger Time of day Gut comfort Convenient to prepare Unique factors: Preferences, exploratory eating, competition phase, weather, food safety and transport | Greatest proportion of high impact responses: Overall diet: Enjoyment of food Makes you feel healthy Athletic performance enhancement Health condition Daily food choices: Practice/race that day Choices in the cafeteria Creating a balanced diet Time to prepare meals |
Relationship to other variables | More important: Sex: Females—weight and natural content Sport: Triathletes -performance and price. Non-triathletes—environmental protection, political values and animal welfare Exercise: Active males—weight control Less important Active individuals—sensory appeal | Setting: Differences in price, health, fitness and performance, weight control, animal welfare, sensory appeal and religion between football clubs Nationality: Foreign players more affected by health and natural content Ethiopian players more affected by price, environmental protection and religion Football club and nationality: Associated with political values and familiarity Education: Significant mean difference for convenience, weight control, animal welfare and religion factors | More important Setting: Delhi—Coach and teammates, visual appearance and time of day Sex: Females—Smell and familiarity Sport: Weight category and endurance—Stage of competition and nutrient composition Weight category—coach Culture: Indian and Asia Pacific—teammates and coach more than Canada, Australia and West Europe | Intercorrelations between performance and both nutritional attributes of the food and weight control | Meals in general lacked fruit, dairy and included discretionary foods Athletes’ self-rating of food was 8–10 Positive correlation between age and self-rating Young athletes rating meal as poorer | N/A | Experience: Performance more and emotional influences less in Commonwealth Games than Universiade Age: Younger athletes more frequently reported available money as an influence Sport: Food and health awareness, nutritional attributes of food and weight control more frequently reported by weight category athletes Culture: Food values and beliefs and doping concerns more frequently reported from non-western countries | N/A |
Conclusion | Athletes in this study placed high importance on performance and health when making food choices but were less concerned about factors related to ethical issues and religion | Factors which can affect players’ food choices can differ based on the athlete’s playing club and nationality | Unique influences on food choices of athletes in a competition environment, which is influenced by their sport and cultural background | This research resulted in a questionnaire (AFCQ) that included factors specific to athletic performance and the sporting environment | Findings suggest that athletes may be more focused on the quantity of macronutrients rather than the quality of food and are influenced by a range of factors, even if having had previous nutrition advice | The study produced a questionnaire with evidence of reliability. The questionnaire may be used to assess the factors that influence food of ultra-endurance athletes during periods of high-volume training and competition | More experienced athletes may be more influenced by performance and nutrition, and less so by their emotions, Competition phase appears to have a modulating effect on food choice motives | A variety of intrinsic and extrinsic factors influence female collegiate cross-country runners’ health status and eating choices |