Cross-sectional and longitudinal associations between higher weight and eating disorder risk among collegiate athletes.

OBJECTIVES: To examine whether higher weight status is associated with increased eating disorder risk in athletes. DESIGN: Study 1 used cross-sectional (N = 942) and longitudinal (N = 483) data collected over a five-year period from Division I athletes at a Midwestern university. Study 2 used cross-sectional data from athletes competing at various levels at universities across the United States (N = 825). METHODS: Weight and height were measured in Study 1 and self-reported in Study 2; higher weight was defined as body mass index ≥ 25 kg/m2. Eating disorder risk was assessed with preliminary (Study 1) and final (Study 2) versions of the Eating Disorders Screen for Athletes. Study 1 examined weight status in relation to both concurrent and one-year changes in Eating Disorder Screen for Athletes score. Study 2 examined weight status in relation to both the Eating Disorders Screen for Athletes score and elevated eating disorder risk using the established Eating Disorders Screen for Athletes cut-off. All models adjusted for gender and sport type; Study 2 additionally adjusted for race/ethnicity, age, and competition level. RESULTS: Across studies, higher weight status was significantly associated with increased eating disorder risk among athletes. This association was observed both cross-sectionally and longitudinally, and the prevelence of elevated eating disorder risk was 43 % greater among athletes with higher weight status than among those without higher weight status. CONCLUSIONS: Despite existing stereotypes that eating disorders tend to occur with low weight status, findings highlight the importance of screening all athletes for eating disorders, regardless of their weight status.

Identifying latent classes of Relative Energy Deficiency in Sport (RED-S) consequences in a sample of collegiate female cross country runners.

OBJECTIVE: The purpose of this study was to identify patterns of clustering of the 10 health consequences identified in the Relative Energy Deficiency in Sport (RED-S) framework among collegiate female Cross-Country runners. We also assessed risk characteristics associated with each cluster. METHODS: This randomly sampled population included 211 current National Collegiate Athletics Association (NCAA) Division I (DI) female cross country runners who completed a quantitative survey. We used latent class analysis (LCA) to group athletes into mutually exclusive classes based on shared response patterns of RED-S consequences. We computed descriptive statistics to identify demographics, personal characteristics, disordered eating and emotional health characteristics associated with each class. RESULTS: The average age of the sample was 21 years with mean body mass index 20.4 kg/m2. The LCA identified three unique classes of potential RED-S presentations: (1) low probability of RED-S consequences; (2) complex physical and psychological concerns with a higher burden of cardiovascular concern and (3) very high probability of anxiety with high burden of menstrual disturbance, bone injury and gastrointestinal concern. All classes were characterised by high levels of menstrual disturbance and distinguished by the number and burden of other potential RED-S consequences and in reported abuse history, emotional regulation and perfectionism. CONCLUSION: This study identified a high burden of menstrual disturbance in NCAA D1 cross country runners, and three unique presentations of RED-S consequences. Future research is warranted to better understand how early prevention and intervention strategies may mitigate RED-S consequences in distance runners.

Participation in varsity sports, dance, and Greek life associated with menstrual disturbance in a national sample of female college students.

Objective: The objective of this study was to identify university-sponsored activities associated with increased odds of menstrual disturbance among female college students. Participants: The sample included 3,277 female-identifying students at 12 colleges and universities participating in the Healthy Bodies Study during the 2013-2014 and 2014-2015 academic years. Methods: Crude and adjusted logistic regression models were run to report odds of any menstrual disturbance and amenorrhea (AMN) for participants in sports, dance, and Greek Life. Survey weights were used to account for response bias. Results: In the adjusted models, participation in varsity sport (OR = 1.82, CI 1.37, 2.37), dance (OR = 1.68, CI 1.37, 2.05) and Greek life (OR= 2.12, CI 0.13,0.18) was significantly associated with increased odds of menstrual disturbance, compared to non-participants. Conclusions: Findings suggest additional need for prevention and intervention programming against menstrual disturbance in varsity sports, dance, and Greek life activities.

Racialized economic segregation and health outcomes: A systematic review of studies that use the Index of Concentration at the Extremes for race, income, and their interaction.

Extensive research shows that residential segregation has severe health consequences for racial and ethnic minorities. Most research to date has operationalized segregation in terms of either poverty or race/ethnicity rather than a synergy of these factors. A novel version of the Index of Concentration at the Extremes (ICERace-Income) specifically assesses racialized economic segregation in terms of spatial concentrations of racial and economic privilege (e.g., wealthy white people) versus disadvantage (e.g., poor Black people) within a given area. This multidimensional measure advances a more comprehensive understanding of residential segregation and its consequences for racial and ethnic minorities. The aim of this paper is to critically review the evidence on the association between ICERace-Income and health outcomes. We implemented the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a rigorous search of academic databases for papers linking ICERace-Income with health. Twenty articles were included in the review. Studies focused on the association of ICERace-Income with adverse birth outcomes, cancer, premature and all-cause mortality, and communicable diseases. Most of the evidence indicates a strong association between ICERace-Income and each health outcome, underscoring income as a key mechanism by which segregation produces health inequality along racial and ethnic lines. Two of the reviewed studies examined racial disparities in comorbidities and health care access as potential explanatory factors underlying this relationship. We discuss our findings in the context of the extant literature on segregation and health and propose new directions for future research and applications of the ICERace-Income measure.

Daily Variation in Sleep Quality is Associated With Health-Related Quality of Life in People With Spinal Cord Injury.

OBJECTIVE: Although sleep difficulties are common after spinal cord injury (SCI), little is known about how day-to-day fluctuations in sleep quality affects health-related quality of life (HRQOL) among these individuals. We examined the effect of sleep quality on same-day HRQOL using ecological momentary assessment methods over a 7-day period. DESIGN: Repeated-measures study involving 7 days of home monitoring; participants completed HRQOL measures each night and ecological momentary assessment ratings 3 times throughout the day; multilevel models were used to analyze data. SETTING: Two academic medical centers. PARTICIPANTS: A total of 170 individuals with SCI (N=170). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Daily sleep quality was rated on a scale of 0 (worst) to 10 (best) each morning. Participants completed end-of-day diaries each night that included several HRQOL measures (Sleep Disturbance, Sleep-related Impairment, Fatigue, Cognitive Abilities, Pain Intensity, Pain Interference, Ability to Participate in Social Roles and Activities, Depression, Anxiety) and ecological momentary assessment ratings of HRQOL (pain, fatigue, subjective thinking) 3 times throughout each day. RESULTS: Multilevel models indicated that fluctuations in sleep quality (as determined by end-of-day ratings) were significantly related to next-day ratings of HRQOL; sleep quality was related to other reports of sleep (Sleep Disturbance; Sleep-related Impairment; Fatigue) but not to other aspects of HRQOL. For ecological momentary assessment ratings, nights of poor sleep were related to worse pain, fatigue, and thinking. Generally, sleep quality showed consistent associations with fatigue and thinking across the day, but the association between sleep quality and these ecological momentary assessment ratings weakened over the course of the day. CONCLUSIONS: Findings highlight the important association between sleep and HRQOL for people with SCI. Future work targeting sleep quality improvement may have positive downstream effects for improving HRQOL in people with SCI.

Specific dietary practices in female athletes and their association with positive screening for disordered eating.

BACKGROUND: To determine if following specific diets was associated with reporting behaviors that are consistent with disordered eating compared to non-diet-adherent athletes. We hypothesized that athletes adhering to specific diets were more likely to report disordered eating than those not following a diet. METHODS: One thousand female athletes (15-30 years) completed a comprehensive survey about athletic health and wellness. Athletes were asked to specify their diet and completed 3 eating disorder screening tools: the Brief Eating Disorder in Athletes Questionnaire, the Eating Disorder Screen for Primary Care, and self-reported current or past history of eating disorder or disordered eating. Descriptive statistics were calculated for all study measures and chi-squared tests assessed relationships between athletes' dietary practices and their responses to eating disorder screening tools. Statistical significance was defined as p < 0.05. RESULTS: Two hundred thirty-four of 1000 female athletes reported adherence to specific diets. 69 of the 234 diet-adhering athletes (29.5%) were excluded due to medically-indicated dietary practices or vague dietary descriptions. Of the 165 diet-adherent athletes, 113 (68.5%) screened positively to ≥1 of the 3 eating disorder screening tools. Specifically, athletes practicing a low-carbohydrate diet were more likely to report disordered eating vs. athletes without dietary restrictions (80% vs. 41.8%; p < 0.0001). CONCLUSION: Specific diet adherence in female athletes may be associated with reporting behaviors that are consistent with disordered eating. Health practitioners should consider further questioning of athletes reporting specific diet adherence in order to enhance nutritional knowledge and help treat and prevent eating disorders or disordered eating.

Female athletes may follow special diets for various reasons including sociocultural practices, environmental concerns, or health and weight-management benefits. These practices may put them at risk for developing eating disorders, which peak during adolescence, and are more common among athletes. Eating disorders or disordered eating in athletes may lead to inadequate fueling or low energy availability and its subsequent health and performance-related complications, also known as Relative Energy Deficiency in Sport (RED-S). It may be difficult to detect eating disorders among athletes due to the secretive nature behind these behaviors. In addition, objective information such as low weight or body mass index (BMI) may not be reliable due to their increased muscle mass. The results of this study revealed that female athletes who reported practicing special diets, especially those who follow a low-carbohydrate diet may be associated with developing eating disorders compared to female athletes who did not report any dietary restrictions. These findings should prompt healthcare providers to evaluate these individuals further in order to enhance their nutritional knowledge and help treat and prevent consequences linked to eating disorders or disordered eating.

Markers of Low-Iron Status Are Associated with Female Athlete Triad Risk Factors.

PURPOSE: The Female Athlete Triad (Triad) is common in female athletes. The Triad is caused by low-energy availability (EA), which is often difficult to measure and has been postulated to be associated with low-iron status. Here, we explore whether markers of low-iron status may be associated with indicators of low EA including Triad risk factors. METHODS: A total of 239 female National Collegiate Athletic Association Division I athletes completed preparticipation examinations that included Triad risk factors, medication/supplement use, diagnosis of anemia, and elected to complete dual-energy x-ray absorptiometry scan to measure bone mineral density. The association of markers of low iron (defined as self-report of iron supplementation and/or history of anemia) with each component of the Triad risk assessment score was assessed by stratifying low-iron status across different levels of Triad risk category. Differences across iron status groups were assessed using Fisher exact testing. RESULTS: Every component of the Triad risk assessment score excluding delayed menarche was associated with low-iron status. The proportion of women who reported low iron was 11.5% in the low-risk EA group compared with 50% in the moderate-risk and 66.7% in the high-risk EA groups (P = 0.02); respectively. These numbers were 11.6%, 25.0%, and 66.7% (P = 0.02) for body mass index; 9.7%, 16.7%, and 25.0% (P < 0.05) for oligomenorrhea; 10.3%, 45.5%, and 50.0% (P < 0.01) for bone mineral density; and 10.4%, 20.8%, and 30.8% (P = 0.03) for history of stress reaction or fracture. Lean/endurance athletes were more likely to have low-iron status than other athletes (15.5% vs 3.4%, P = 0.02). CONCLUSIONS: Markers for low-iron status were associated with Triad risk factors. Our study suggests that female athletes with a history of anemia or iron supplementation may require further screening for low EA.

Evaluating gender bias in an eating disorder risk assessment questionnaire for athletes.

Due to stigma, eating disorders are under-researched, underdiagnosed and undertreated among men. This is particularly pertinent among athletes, as athletic goals are a major risk factor for disordered eating in men. This gender stereotype may be reinforced by eating disorder risk assessment tools that better reflect female symptoms. We examine an eating disorder risk assessment questionnaire in a population of athletes to assess both (1) gender bias in individual items and (2) gender differences on a cognitive and behavioral subscale, identified through a factor analysis. Controlling for eating disorder risk, we found that female gender significantly predicted high risk scores on four items; male gender significantly predicted high risk scores on four other items. We also found that women were more likely to score above the median on a cognitive subscale than men with the same level of eating disorder risk, while men were more likely to score above the median on a behavioral subscale. These results may be applied practically to allow eating disorder risk assessment tools to better capture eating disorder risk independent of gender. These methods may be applied to other questionnaires and other social identities, to expand the scope of eating disorder research and treatment.

Cultural and environmental associations with body image, diet and well-being in NCAA DI female distance runners: a qualitative analysis.

OBJECTIVE: We aimed to describe current and former National Collegiate Athletic Association (NCAA) Division One (DI) female distance runners' experiences of perceived norms of body image and disordered eating in their sport, as well as the emergence and influence of coach-athlete power dynamics.This manuscript reports a qualitative research study (consisting of interviews and thematic analysis) of women athletes' experiences of perceived norms of body image and disordered eating in their sport. We also report athletes' experiences of coach-athlete power dynamics. METHODS: The study sample included 29 current and former female NCAA DI female distance runners, defined as competing in 800-metre distance or greater. Interviews were conducted, audio-recorded and hand transcribed. A thematic analysis was performed and presented. RESULTS: Two major themes emerged: (1) sport body ideals and body image norms and myths that exist in the sport, and (2) the power dynamic between athletes and coaches. It is not clear whether sport body ideals and culture of running influences coaching culture, or whether the coaches-who maintain positions of power in the sport-perpetuate the culture. These themes likely feed into each other and reinforce the existing and dominant mentalities of the sport. CONCLUSION: Sport body image ideals and the power dynamic between coach and athlete may contribute to female athlete's risk of disordered eating and body image disturbance. We call for the NCAA and athletic departments to develop and implement prevention and intervention programmes to prevent eating and body image disorders in this high-risk population.

Development and Validation of the Eating Disorders Screen for Athletes (EDSA): A Brief Screening Tool for Male and Female Athletes.

OBJECTIVES: To develop and validate the Eating Disorders Screen for Athletes (EDSA), a brief eating disorders screening tool for use in both male and female athletes. METHODS: Data from Division I athletes at a Midwestern university (N=434) were used to conduct exploratory factor analysis (EFA) by gender. Data from athletes competing at various levels at universities across the United States (N=862) were then used to conduct confirmatory factor analysis (CFA) and receiver operator characteristic (ROC) curve analysis by gender. Athletes from a range of lean and non-lean sports were included. Gender-specific empirically derived cut-offs on the Eating Disorder Examination-Questionnaire were used to classify high eating disorder risk for ROC curve analysis. Measurement invariance by gender, level of competition, and sport type was also examined. RESULTS: A six-item, one-factor structure for the EDSA was supported by EFA and CFA in both genders, and internal consistency was good for both male (α=. 80) and female athletes (α=.86). ROC curve analyses indicated that the EDSA was highly accurate in predicting eating disorder risk status and identified a score of 3.33 as the optimal cut-off for both male (sensitivity=.96, specificity=.80) and female athletes (sensitivity=.96, specificity=.64). Results also supported strong measurement invariance for the EDSA by gender, level of competition (Division I versus club), and sport type (lean versus non-lean). CONCLUSIONS: The EDSA shows promise as a brief screening tool to identify male and female athletes at risk for eating disorders.

Macronutrient intake associated with weight gain in adolescent girls with anorexia nervosa.

OBJECTIVE: Adolescents and women with anorexia nervosa (AN) are known to severely restrict total calorie and fat intake. However, data are limited regarding specific macronutrient intake associated with weight gain in AN. OBJECTIVE: To prospectively investigate dietary macronutrient composition associated with weight gain in adolescent girls with AN. METHOD: A prospective naturalistic study of 90 girls 12-18 years old; 45 with AN and 45 healthy normal-weight-controls over a 6-12-month period. Participants completed four-day food diaries and underwent body composition assessment using dual energy X-ray absorptiometry. Weight gain was defined as a ≥10% increase in body mass index (BMI) from baseline. RESULTS: Baseline clinical characteristics did not differ between girls with AN who did not gain weight (AN-0) versus those who did (AN-1) over the following 6-12 month period except for percentage of calories from proteins (p = 0.046). At 6-12 month follow-up, AN-1 consumed a lower percentage of total calories from protein (p = .001), and a higher percentage of total calories from fat (p = .02) compared to AN-0. AN-1 had a significant increase in the percentage of total calories obtained from and poly-unsaturated-fatty acids (PUFA) (p = 0.006) compared to AN-0, between baseline and follow-up. Within the AN group, BMI at follow-up was associated positively with percentage of total calories obtained from fat, MUFA, and PUFA (p < .05) at 6/12 months, and inversely with the percentage of total calories obtained from carbohydrates and proteins (p = .03). DISCUSSION: Consuming a greater proportion of total calories from fat is associated with weight gain in adolescent girls with AN.