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Eating Disorder Symptoms in Female Sports: Comparison of Rhythmic Gymnasts and Female Handball Players

Josipa Radas, Jasmina Parlov, Rebeka Stojković

University of Zagreb, Faculty of Kinesiology

Kinesiological paradigm in education

 Number of the paper: 51

Preliminary communication
Abstract

Previous research shows that female athletes are particularly at risk of eating disorders and control their weight more in aesthetic than non-aesthetic sports. The aim of this research was to determine eating disorders in rhythmic gymnastics using the EAT-26 test. A group of female handball players was also included in the research in order to compare results from aesthetic and non-aesthetic sports. Rhythmic gymnastics is a conventional sport in which the exercise is performed on the ground with a screw, hoop, ball, cones and tape accompanied by music. The sample of respondents consisted of rhythmic players (N=40) and handball players (N=40) aged 14-17. The EAT-26 contains 26 items divided into three levels ('dieting', 'bulimia and preoccupation with food', 'oral control') and was used to test the presence of eating disorder symptoms. The results of the Mann Whitney U test showed that there are significant differences between the two groups of subjects in the total score of EAT-26. A comparison of attitudes about nutrition, age and body mass index (BMI) revealed that rhythmic players control their body weight and diet significantly more than handball players.

Key words

body mass index; EAT-26; female athletes; leann sport;  rhythmic gymnastics
Introduction

It proves to be that eating disorder symptoms are common among female athletes (Bratland-Sanda & Sundgot-Borgen, 2012) and more often observed in a wide range of elite sports (Martinsen & Sundgot-Borgen, 2012). In elite aesthetic sports like rhythmic gymnastics, girls are typically competing very young, at the age of 13-15 years, which is developmental stage of middle adolescence, where major changes are characterized, including physiological and psychological changes, which are well-established risk factors for developing eating disorders (Striegel-Moore & Bulik, 2007). Specific factors in the sport environment may encourage an unhealthy focus on body weight and shape (Bratland-Sanda and Sundgot-Borgen, 2012).

In rhythmic gymnastics, the gymnastic leotards is the only clothes that rhythmic athletes are wearing so every part of the body is visible, both in training and during the competition performance (Norton et al. 2000). Since this sportswear facilitates the comparison of athletes, it encourages dissatisfaction with body image and unhealthy eating behavior (Steinfeldt et al., 2013). Aesthetic sport are specific because referees are giving scores which are subjective and depends on different aesthetic factors, including athlete’s appearance. It is expected that skinnier athletes score higher in artistic impression, although physical appearance is not directly evaluated (Claessens Lefevre et al., 1999), which might contribute to eating disorder behaviors. Rhythmic gymnastics is a conventional sport in which is perform on the floor with the hand apparatuses as rope, hoop, ball, clubs, and ribbon in harmony with music (Eid, 2014). In elite rhythmic gymnastics, a somatotype with reduced subcutaneous adipose tissue is desirable and the ectomorph component of the body is emphasized (Radas et al., 2018). Knowledge of kinanthropological characteristics is directly relevant to all aspects of training that are valid in top sports. In addition to the above, it is known that rhythm gymnasts should be as thin as possible due to landing after performing very demanding elements It could also be expected that leanness sports athletes with greater Body Mass Index (BMI) value are especially at risk for developing eating disorder symptoms and this risk occurs because their actual body weight deviates more from what is considered to be the ideal (i.e. extremely skinny) body weight and shape in these sport disciplines (Parlov, 2020).

The aim of our study was to explore the eating disorder symptoms in rhythmic gymnasts using EAT26 instrument, so assuming similar physiological and psychological developmental changes, we compared a group of rhythmic gymnasts with female handball players of the same age.

Female handball is a sports game in a series of polystructural complex sports characterized by the alternation of cyclic and acyclic complex movements, the result depending on the cooperation of all team members (Malacko, 1991). The game consists of two half time in which the two teams attempt to score goals scoring by throwing the ball into the opponent's goal. Unlike rhythmic gymnastics, female handball is non-leanness sport where aesthetic component is not relevant for the performance and success. Considering the theoretical considerations and results of previous research, we assume that rhythmic gymnasts will show a higher degree of eating disorder symptoms than female handball players. The aim of our research was to explore the eating disorder symptoms in rhythmic gymnast’s athletes by comparing them with female handball players using the EAT-26 test.

Methods

Participants

40 rhythmic female athletes and 40 female handball players aged 13 to 15 participated in the research. Booth participants were from clubs in Osijek, Croatia. The inclusion criteria were: a minimum of three years in competitive training, continually and without major breaks. Both groups participated in the 2019-2021 competitive seasons and already attended at least one major sport competition. The participants’ personal data in the study were anonymized. The only personal data we collected were: year of birth, current weight and height and also, in which sport these participants compete.

Measurements

To test the presence of eating disorder symptoms the Eating Attitudes Test: Eat26 (EAT: Garner et al., 1982) was picked. The Eat26 test examines the presence and frequency of extreme behaviors related to eating habits. The questionnaire consists of a total of 26 questions. Identification of those who are at risk of eating disorders are based on information of the individual's Body Mass Index (BMI) and behavioral symptoms based on individual answers. The Body Mass Index (BMI) is computed and used to determine whether the person is "significantly underweight" compared to age matched norms. The score of BMI for teens at age 13-15 years old is critical under the 18 (Rolland-Cachera et al., 1991; Corbin and Lindsey, 1997).  The Eat26 item self-report scale assesses eating disorder symptoms on three subscales: dieting (13 item), oral control (7 item), bulimia and food preoccupation (6 item). Subscale total scores are a sum of responses to all items in the scale, where the higher score corresponds to higher severity of eating disorder. Participants give responses on a 6-point scale: never (0), rarely (0), sometimes (0), often (1), usually (2), always (3). The first three responses are scored zero, with the other three responses being scored 1, 2 and 3, accordingly. A score greater than 20 is considered to be an indicator of a possible eating disorder problem and individuals who score 20 or more should seek clinical support (Lane H., Lane A. & Matheson, 2004). The severity criteria are adjusted according to the age of the participants. Anonymous self-report questionnaires proved to be the most effective diagnostic tool for eating disorders among athletes, as seeking for help and admitting the problems are not very common in this population (Bardone-Cone, 2011). Following the methodology described for the Eating Disorder Inventory Referral Form (EDI-RF; Garner, 2004), four behavioral questions are included in this version of the EAT-26, in order to determine the presence and frequency of extreme weight-control behaviors. These questions assess self-reported binge eating, self-induced vomiting, use of laxatives, and treatment for an eating disorder over the preceding 6 months.

Procedure

Participants were questioned anonymously and voluntarily with parental permission, exclusively for research purposes. The questionnaire was paper-based after training, without the possibility to communicate with other participants and under the supervision of coaches and researchers. Participation in the research lasted about ten minutes. Results of the questionnaire were subsequently entered into free online Google Forms and exported to a .csv file for further processing. In the research the questionnaire “Eat 26” with verified metric characteristics was used (Lane H. et al., 2004).

Statistical analysis

The Mann-Whitney U Test (MWU) was used to test for the differences in EAT26 total score, individual variables (answers to questions) and the calculated subscales (bulimia and food preoccupation subscale and oral control subscale) between the two sports’. The p-values were Bonferroni corrected, used to counteract with error when doing multiple comparisons. The statistical analysis was conducted in the SPSS 13.4 statistical software.

Results

The results of the research are first presented within the descriptive indicators of the variables used, followed by the results of statistical analyzes. Table 1. shows the results of descriptive statistics of rhythmic gymnasts where is shown BMI, weight, height, ideal weight and response to the questionnaire. In Table 2. are shown the results of descriptive statistics of female handball players of the same variables.

Table 1. Descriptive statistics of rhythmic gymnasts

Valid N

Mean

Minimum

Maximum

Std.Dev.

BMI

40

19.5550

16.3000

24.0000

2.101886

Weight

40

163.6750

149.0000

178.0000

6.995924

Height

40

52.4500

40.0000

68.0000

7.598752

Ideal weight

40

50.0500

35.0000

65.0000

7.709302

fear_gain_weight_1

40

3.7250

1.0000

6.0000

1.999840

avoid_eat_if_hungry_2

40

5.3250

3.0000

6.0000

0.944281

often_think_food_3

40

4.1250

1.0000

6.0000

1.324087

cant_stop_eating_4

40

5.3000

2.0000

6.0000

1.017790

slicing_to_pieces_5

40

3.2250

1.0000

6.0000

1.686865

calc_kcal_6

40

4.1750

1.0000

6.0000

1.599479

avoid_hi_carb_7

40

4.3250

2.0000

6.0000

1.439150

people_push_eat_8

40

4.7500

2.0000

6.0000

1.031553

post_vomit_9

40

5.9500

4.0000

6.0000

0.316228

post_guilt_10

40

5.0500

2.0000

6.0000

1.299901

skinny_wish_11

40

4.0750

1.0000

6.0000

1.831176

burn_kcal_12

40

4.9750

1.0000

6.0000

1.367901

people_think_skinny_13

40

4.5000

1.0000

6.0000

1.198289

think_bodyfat_14

40

4.9750

1.0000

6.0000

1.290746

long_meals_15

40

4.1500

1.0000

6.0000

1.442043

avoid_sugar_16

40

4.7000

2.0000

6.0000

1.159133

dietary_food_17

40

4.8250

2.0000

6.0000

1.393897

nutri_ctrl_life_18

40

4.8000

1.0000

6.0000

1.539231

resist_food_19

40

3.8000

1.0000

6.0000

1.572194

people_convince_eat_20

40

5.1500

3.0000

6.0000

0.975337

think_food_alot_21

40

4.7750

1.0000

6.0000

1.458617

no_sweets_22

40

4.6000

1.0000

6.0000

1.277016

ften_diet_23

40

5.0500

2.0000

6.0000

1.357789

like_feel_empty_stom_24

40

4.9750

1.0000

6.0000

1.671595

have_post_vomit_25

40

5.8250

4.0000

6.0000

0.500641

new_tasty_food_26

40

2.9250

1.0000

6.0000

1.558887

cant_stop_eat_1p

40

1.4500

1.0000

4.0000

0.749359

vomit_induce_2p

40

1.0500

1.0000

3.0000

0.316228

laxative_3p

40

1.0000

1.0000

1.0000

0.000000

practice_60min_4p

40

3.1500

1.0000

6.0000

1.981323

Table 2. Descriptive statistics of female handball players

Valid N

Mean

Minimum

Maximum

Std.Dev.

BMI

40

21.8100

17.1000

28.3000

2.50567

Weight

40

166.5000

151.0000

181.0000

7.79875

Height

40

60.3750

44.0000

80.0000

9.29485

Ideal weight

40

56.0000

4.0000

75.0000

11.53590

fear_gain_weight_1

40

4.5250

1.0000

6.0000

1.41399

avoid_eat_if_hungry_2

40

5.3000

2.0000

6.0000

1.01779

often_think_food_3

40

3.1250

1.0000

6.0000

1.75685

cant_stop_eating_4

40

5.1250

1.0000

6.0000

1.24422

slicing_to_pieces_5

40

4.3750

1.0000

6.0000

1.42662

calc_kcal_6

40

4.2500

1.0000

6.0000

1.75046

avoid_hi_carb_7

40

5.1000

3.0000

6.0000

0.98189

people_push_eat_8

40

4.9250

1.0000

6.0000

1.36603

post_vomit_9

40

5.8750

3.0000

6.0000

0.56330

post_guilt_10

40

5.5000

2.0000

6.0000

0.96077

skinny_wish_11

40

4.0500

1.0000

6.0000

1.58438

burn_kcal_12

40

4.7500

1.0000

6.0000

1.40967

people_think_skinny_13

40

4.9500

2.0000

6.0000

1.29990

think_bodyfat_14

40

4.6500

1.0000

6.0000

1.40603

long_meals_15

40

4.3750

1.0000

6.0000

1.62808

avoid_sugar_16

40

5.0250

2.0000

6.0000

1.16548

dietary_food_17

40

4.7250

1.0000

6.0000

1.08575

nutri_ctrl_life_18

40

4.8500

1.0000

6.0000

1.40603

resist_food_19

40

4.3000

1.0000

6.0000

1.62038

people_convince_eat_20

40

5.1000

1.0000

6.0000

1.10477

think_food_alot_21

40

4.3750

1.0000

6.0000

1.68990

no_sweets_22

40

5.1250

2.0000

6.0000

1.13652

ften_diet_23

40

5.6000

3.0000

6.0000

0.74421

like_feel_empty_stom_24

40

5.4750

2.0000

6.0000

0.93336

have_post_vomit_25

40

5.9000

5.0000

6.0000

0.30382

new_tasty_food_26

40

3.0000

1.0000

6.0000

1.41421

cant_stop_eat_1p

40

1.9750

1.0000

6.0000

1.34903

vomit_induce_2p

40

1.0250

1.0000

2.0000

0.15811

laxative_3p

40

1.0000

1.0000

1.0000

0.00000

practice_60min_4p

40

2.4250

1.0000

6.0000

1.63123

The EAT26 total score and the Dieting subscale show significant differences between the two groups. The median value for EAT26 total score is higher in the rhythmic gymnasts group (C=16) than within the female handball players (C=9). Regarding the other two subscales (bulimia and food preoccupation subscale and oral control subscale) did not show significant differences between the two groups (p > 0.05). In order to evaluate the athlete’s perception of their own weight, an eating disorder relevant variable the weight dissatisfaction is proposed calculated from the obtained data, defined according to equation (1) (Parlov, 2020).                               

                                                                         WD=((weight-ideal weight))/weight   (1)

WD is a measure of how a participant think about her own weight and whether or not he or she should change by means of gaining or losing relative to current weight. The WD was included in all statistical analysis. The results of the MWU test are shown in Table 3. At the BMI and ideal weight, there were also significant differences. Responses to questions 2, 5, 6, 7, 10, 11, 18 and 25 (see supplement for test description) show significant differences among the two groups.   

Table 3. The results of the Mann-Whitney U Test showing significant differences in eating behavior on the Eat26 test

variable/answer to questions

p-value

2. Ever made yourself sick (vomiting) to control your weight or shape?

<0.05

6. Aware of the calorie content of foods that I eat.

<0.01

7. Particularly avoid food with a high carbohydrate content

<0.05

10. Feel extremely guilty after eating.

<0.01

11. Am preoccupied with a desire to be thinner.

<0.05

18. Feel that food controls my life.

<0.05

25. Have the impulse to vomit after meals

<0.01

Weight dissatisfaction (WD)

<0.01

Weight

<0.05

Ideal weight

<0.01

Dieting subscale

<0.05

EAT26 score

<0.05

Question no.9 had an equal response over both groups, which was 0 for all participants, out of the 25 questions in EAT26. Out of 40 female handball players, 29 have a BMI above 21.234, while for rhythmic swimmers there are only 9 above the same criteria.

Disscusion

When it comes to the EAT26, it is important to focus at young athletes because it seems that eating disorders and similar behavior appear at young ages. There is lacking of evidence on these aspects in young group sports. To our knowledge, this is the first research that is comparing two team sports in eating disorders. The score of EAT26 at or above 20 on the EAT-26 suggest the individual to get in contact with a physician or an eating disorders treatment specialist for a follow-up evaluation (Garner, 2004). Rhythmic gymnasts had a higher median value than the female handball players. Six of the forty rhythmic gymnasts have value above 20 and eight more of them are above 18. Since the questionnaire was anonymous, we believe that most participants give honest answers, which means that EAT-26 usually provides very useful information about the symptoms and eating problems that are common in eating disorders. BMI was discriminating variable because it turned out to be that female handball players have a higher weight, which also requires the nature of sport, but there should be no difference in these ages. By comparing the results, we can see the significant difference between rhythmic gymnasts, who are “forced to” look thin and female handball players in whose sport aesthetic component of the body is not needed for success. In their research, Sundgot-Borgen and Torstveit (2004), described a sport-specific variant of anorexia nervosa, where female athletes who have problems with eating disorders show an intense fear of gaining weight or becoming fat, although the athletes are not overweight at all, so there are using variety of pathogenic weight-control techniques to achieve their individually ideal weight. There is a similar research comparing two water sports, where Parlov et.al. (2020) in which it turned out that artistic swimmers might be affected by eating disorders due to the specifics of the sport (leanness sport).

Conclusion

This research has been used to examine the factors that cause eating disorders in rhythmic gymnastics, examine the dimension of Body Mass Index and their relations with possible symptoms of eating disorders and compare them with the group of the same age. Rhythmic gymnasts may be affected by eating disorders because this thinness is positively evaluated by judges, so the aim is that judges became aware of this mental illness and try to influence the change of rating. Coaches and team experts should be educated about eating disorders so they can help athletes and also point to negative physical and psychological consequences. It is important that rhythmic gymnasts know that they can look thin and be strong and healthy, but only with good nutrition which should be achieved by expert team (coach, nutritionist, physiotherapist and psychologist). In future research, it would be good to conduct qualitative research over a longer period of time by comparing the nutrition and sports achievements.

References

Bardone-Cone, A. M., Sturm, K., Lawson, M. A., Robinson, D. P., & Smith, R. (2010). Perfectionism across stages of recovery from eating disorders. International Journal of Eating Disorderd, 43(2), 139–148. doi:10.1002/eat.20674

Bratland-Sanda, S., & Sundgot-Borgen, J. (2012). Eating disorders in athletes: Overview of prevalence, risk factors and recommendations for prevention and treatment. European Journal of Sport Science, 1–10. doi:10.1080/17461391.2012.740504

Claessens, A. L., Lefevre, J., Beunen, G., & Malina, R. M. (1999). The contribution of anthropometric characteristics to performance scores in elite female gymnasts. J Sports Medicine of Physiological Fitness, 39, 355–360.

Corbin, C. B., & Lindsey, R. (1997). Concepts of fitness and wellness with laboratories (2nd ed.). Boston: WCB/McGraw-Hill. 4.

Eid, L., & Sensini, N. (2014). Ginnastica ritmica e piccoli attrezzi. Carate Brianza: Caraba’ Edition 2014.

Garner, D. M. (2004). EDI-3: Eating Disorder Inventory-3: Referral Form (RF) Manual. Psychological Assessment Resources, Incorporated.

Garner, D. M., Olmsted, M.P., Bohr, Y. & Garfinkel, P.E. (1982). The eating attitudes test: psychometric features and clinical correlates. Psychological Medicine, 12(4), 871–878. doi:10.1017/s0033291700049163

Lane, H. J., Lane, A. M., & Matheson, H. (2004). Validity of the eating attitude test among exercisers. J Sports Sci Med, 3(4), 244-53.

Malacko, J. (1991). Osnove sportskog treninga. Kibernetički pristup. Treće prošireno izdanje (Fundamentals of sports training. Cybernetic approach. Third enlarged edition). Novi Sad: FTN Štamparija za grafičku delatnost.

Martinsen, M., Bratland-Sanda, S., Eriksson, A. K., & Sundgot-Borgen, J. (2010). Dieting to win or to be thin? A study of dieting and disordered eating among adolescent elite athletes and non-athlete controls. British Journal of Sports Medicine, 44(1), 70-76. doi:10.1136/bjsm.2009.068668

Norton, K., Olds, T., Olive, S., & Craig, N. (2000). Anthropometry and sports performance. Anthropometrica. Sydney, NSW: University of New South Wales Press.

Parlov, J., Low, A., Lovric, M., & Kern, R. (2020). Body mass index, body image dissatisfaction and eating disorder in female aquatic sports: Comparison of artistic synchronized swimming and female water-polo players. Journal of Physical Education and Sport, 20(3), 2159–2166. doi:10.7752/jpes.2020.s3290

Radaš, J., Furjan-Mandić, G., & Gruić, I. (2018). Anthropometrical Characteristics and Somatotype of Junior Rhythmic Gymnasts of Republic of Croatia. In P. Pezarat-Correia, J. P. Vilas-Boas, O. Rivera and J. Cabri (eds.), Proceedings of the 6th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2018) (pp.165–169). Seville: SciTePress DOI: 10.5220/0007231901650169

Rolland-Cachera, M. F., Cole, T. J., Sempe, M., Tichet, J., Rossignol, C., & Charraud, A. (1991). Body mass index variations: centiles from birth to 87 years. European Journal of Clinics Nutrition, 45(1), 13–21.

Steinfeldt, J. A., Zakraisek, R. A., Bodey, K. J., Middendorf, K. G., & Martin, S. B. (2013). Role of uniforms in the body image of female college volleyball players. The Counseling Psychologist, 41, 791–819. doi:10.1177/0011000012457218

Striegel-Moore, R. H., & Bulik, C. M. (2007). Risk factors for eating disorders. American Psychologist, 62(3), 181–198. doi:10.1037/0003-066X.62.3.181

Sundgot-Borgen, J., & Torstveit, M. K. (2004). Prevalence of eating disorders in elite athletes is higher than in the general population. Clinics Journal of Sport and Medicine, 14, 25–32. doi:10.1097/00042752-200401000-00005


stoo2.png
2nd International Scientific and Art Faculty of Teacher Education University of Zagreb Conference
Contemporary Themes in Education – CTE2 - in memoriam prof. emer. dr. sc. Milan Matijević, Zagreb, Croatia
Simptomi poremećaja hranjenja u ženskim sportovima: usporedba ritmičkih gimnastičarki s rukometašicama
Sažetak

Prethodna istraživanja pokazuju da su sportašice posebno izložene riziku od  poremećaja prehrane i kontroliraju svoju težinu više u estetskim, nego neestetskim sportovima. Cilj ovog  istraživanja bio je utvrditi poremećaje prehrane u ritmičkoj gimnastici pomoću EAT-26 testa. U istraživanje je uključena i grupa rukometašica kako bi se usporedili rezultati iz estetskog i neestetskog sporta. Ritmička gimnastika je konvencionalni sport u kojem se vježba izvodi na tlu s vijačom, obručem, loptom, čunjevima i trakom uz pratnju glazbe. Uzorak ispitanika činile su ritmičarke (N=40) i rukometašice (N=40) u dobi od 14-17 godina. EAT-26 sadrži 26 stavki koje su podijeljene u tri razine ('dijeta', 'bulimija' i preokupiranost hranom', 'oralna kontrola') korišten je za testiranje prisutnosti simptoma poremećaja prehrane. Rezultati Mann Whitney U testa pokazali su da postoje značajne razlike između dvije skupine ispitanika u ukupnom rezultatu EAT-26. Usporedbom stavova o prehrani, starosti i indeksa tjelesne mase (BMI) otkriveno je da ritmičarke značajno više kontroliraju tjelesnu težinu i način prehrane nego rukometašice.

Ključne riječi

EAT-26; indeks tjelesne mase; konvencionalni sportovi; ritmička gimnastika; sportašice
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