Weight Management for Athletes and Active Individuals: A Brief Review

Weight management for athletes and active individuals is unique because of their high daily energy expenditure; thus, the emphasis is usually placed on changing the diet side of the energy balance equation. When dieting for weight loss, active individuals also want to preserve lean tissue, which means that energy restriction cannot be too severe or lean tissue is lost. First, this brief review addresses the issues of weight management in athletes and active individuals and factors to consider when determining a weight-loss goal. Second, the concept of dynamic energy balance is reviewed, including two mathematical models developed to improve weight-loss predictions based on changes in diet and exercise. These models are now available on the Internet. Finally, dietary strategies for weight loss/maintenance that can be successfully used with active individuals are given. Emphasis is placed on teaching the benefits of consuming a low-ED diet (e.g., high-fiber, high-water, low-fat foods), which allows for the consumption of a greater volume of food to increase satiety while reducing energy intake. Health professionals and sport dietitians need to understand dynamic energy balance and be prepared with effective and evidence-based dietary approaches to help athletes and active individuals achieve their body-weight goals

Dietary Supplements for Improving Body Composition and Reducing Body Weight: Where Is the Evidence?

Weight-loss supplements typically fall into 1 of 4 categories depending on their hypothesized mechanism of action: products that block the absorption of fat or carbohydrate, stimulants that increase thermogenesis, products that change metabolism and improve body composition, and products that suppress appetite or give a sense of fullness. Each category is reviewed, and an overview of the current science related to their effectiveness is presented. While some weight-loss supplements produce modest effects (2 kg), especially in the long term. Some foods or supplements such as green tea, fiber, and calcium supplements or dairy products may complement a healthy lifestyle to produce small weight losses or prevent weight gain over time. Weight-loss supplements containing metabolic stimulants (e.g., caffeine, ephedra, synephrine) are most likely to produce adverse side effects and should be avoided.This is the publisher’s final pdf. The published article is copyrighted by Human Kinetics, Inc. and can be found at: http://journals.humankinetics.com/.Keywords: Starch blockers, Stimulants, Fat blockers, Exercise, Appetite suppressant

Changes in Sport Nutrition Knowledge, Attitudes/Beliefs and Behaviors Following a Two-Year Sport Nutrition Education and Life-Skills Intervention among High School Soccer Players

The purpose of this study was to examine the impact of a sport nutrition education and life-skills intervention on sport nutrition knowledge (SNK), attitudes/beliefs and dietary behaviors relevant to sport nutrition among high school (HS) soccer players. Three assessments were done over the 2-year intervention (baseline = time 1, end year 1 = time 2, end year 2 = time 3). Participants (n = 217; females = 64%; Latino = 47.5%; 14.9 ± 0.9-year; 46.5% National School Breakfast/Lunch Program) were assigned to an intervention group (IG, n = 153; 9 schools) or comparison group (CG, n = 64; 4 schools) based on geographical location. Differences over time were examined based on group, sex, socioeconomic status (SES) and race/ethnicity. The IG increased SNK scores by ~10% (time 1 = 51.6%; time 3 = 60.9%; p ≤ 0.001), with the greatest change in the female IG vs. CG and no differences in male IG vs. CG. Daily breakfast consumption was 53.7% in both groups. IG players were 3 times more likely (95%CI = 2.59, 7.77) to report trying to eat for performance (IG = 48.7% vs. CG = 30.2%). By time 3, IG players were less likely to report that \u27diet met nutritional requirements\u27 (31.6%) compared to CG (47.6%). For IG, the consumption of lunch (≥5-days/week) did not change (92.2⁻93.4%), but declined in the CG (90.6%) (p = 0.04). No other differences by sub-population (race/ethnicity, SES) were observed. Our findings indicate that HS athletes are motivated to learn and improve diet behaviors, and benefit from team-based nutrition interventions. Future interventions should consider delivery of curriculum/experiential learning during a defined training period, with messages reinforced with supports at home, school and athletic settings

Exercise-Trained Men and Women: Role of Exercise and Diet on Appetite and Energy Intake

The regulation of appetite and energy intake is influenced by numerous hormonal and neural signals, including feedback from changes in diet and exercise. Exercise can suppress subjective appetite ratings, subsequent energy intake, and alter appetite-regulating hormones, including ghrelin, peptide YY, and glucagon-like peptide 1(GLP-1) for a period of time post-exercise. Discrepancies in the degree of appetite suppression with exercise may be dependent on subject characteristics (e.g., body fatness, fitness level, age or sex) and exercise duration, intensity, type and mode. Following an acute bout of exercise, exercise-trained males experience appetite suppression, while data in exercise-trained women are limited and equivocal. Diet can also impact appetite, with low-energy dense diets eliciting a greater sense of fullness at a lower energy intake. To date, little research has examined the combined interaction of exercise and diet on appetite and energy intake. This review focuses on exercise-trained men and women and examines the impact of exercise on hormonal regulation of appetite, post-exercise energy intake, and subjective and objective measurements of appetite. The impact that low-energy dense diets have on appetite and energy intake are also addressed. Finally, the combined effects of high-intensity exercise and low-energy dense diets are examined. This research is in exercise-trained women who are often concerned with weight and body image issues and consume low-energy dense foods to keep energy intakes low. Unfortunately, these low-energy intakes can have negative health consequences when combined with high-levels of exercise. More research is needed examining the combined effect of diet and exercise on appetite regulation in fit, exercise-trained individuals.This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by MDPI. The published article can be found at: http://www.mdpi.com/journal/nutrients.Keywords: diet, amenorrhea, energy density, hunger, energy intake, female athlete

Does Caffeine Intake Impact Menstrual Function? Assessment of Caffeine Intake in Active Women with and Without Exercise Induced Menstrual Dysfunction (ExMD)

It has been hypothesized that caffeine intake can directly interfere with estrogen synthesis; it is also well documented that caffeine can increase energy expenditure. Active women with ExMD are at risk for the female athlete triad, a syndrome associated with negative energy balance, leading to menstrual dysfunction and eventually poor bone health. Thus, for active women high levels of caffeine intake may suppress estrogen synthesis and simultaneously increase energy needs, contributing to ExMD

Psychological determinants of physical activity

The transition from high school (HS) to college can prove to be a difficult one for many HS students. In becoming acclimated within the academic and social realm of a college experience the individual is offered an opportunity to develop many lifestyle habits such as diet, sleep and most notably physical activity (PA) 1. Most attention addressing health concerns is placed on health indicators attuned to the college environment. However valid, such reasoning overlooks that in 2007 only 18% of 9-12th graders met the 60-minute recommendation for PA2. It also looks over the reality that sedentary behavior increases with the age of the adolescent 3. Youth athletes provide a unique opportunity in developing healthy eating habits and sustainable levels of PA, since they are often predisposed to unhealthier eating habits in HS due to their high levels of PA. As a result, a youth athlete may experience new health challenges when entering college as a traditional student, where structured PA is no longer a part of their daily life

WAVE Project: Sport Nutrition Education Resources

The WAVE~Ripples for Change: Obesity Prevention in Active Youth (WAVE) project’s primary objective is to prevent unhealthy weight gain among high school athletes through healthy eating and reduced sedentary time. Educators are familiar with the myriad of challenges in presenting nutrition, diet, and physical activity information to high school students. WAVE uses adolescent athletes’ interest in sport to draw them into the topic of sport nutrition and healthy eating; helping them apply the knowledge and skills they learned in class, on the field, and in their lives. WAVE developed and field-tested an after-school program for high school athletes that includes 7 sport nutrition lessons (30 to 45 minutes each) and 3 team-building, family and consumer sciences life-skill workshops. WAVE also developed a cloud-based data management system to support the tracking of learner profiles, survey administration, big data visualization, and automated health report generation

Coinfections by noninteracting pathogens are not independent and require new tests of interaction.

If pathogen species, strains, or clones do not interact, intuition suggests the proportion of coinfected hosts should be the product of the individual prevalences. Independence consequently underpins the wide range of methods for detecting pathogen interactions from cross-sectional survey data. However, the very simplest of epidemiological models challenge the underlying assumption of statistical independence. Even if pathogens do not interact, death of coinfected hosts causes net prevalences of individual pathogens to decrease simultaneously. The induced positive correlation between prevalences means the proportion of coinfected hosts is expected to be higher than multiplication would suggest. By modelling the dynamics of multiple noninteracting pathogens causing chronic infections, we develop a pair of novel tests of interaction that properly account for nonindependence between pathogens causing lifelong infection. Our tests allow us to reinterpret data from previous studies including pathogens of humans, plants, and animals. Our work demonstrates how methods to identify interactions between pathogens can be updated using simple epidemic models