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versão impressa ISSN 1517-8692
Rev Bras Med Esporte vol.18 no.3 São Paulo maio/jun. 2012
EXERCISE AND SPORTS MEDICINE CLINIC
Age of onset training but not body composition is crucial in menstrual dysfunction in adolescent competitive swimmers
Annie SchtscherbynaI; Thiago BarretoI; Fátima Palha de OliveiraII; Ronir Raggio LuizIII; Eliane de Abreu SoaresI,IV; Beatriz Gonçalves RibeiroI
IDepartament of Nutrition, and Dietetics, Josué de Castro
Nutrition Insittute, Federal University of Rio de Janeiro Rio de Janeiro, RJ, Brazil
IILABOFISE, Physical Education and Sports School, Federal University of Rio de Janeiro Rio de Janeiro, RJ, Brazil
IIIInstitute of Studies in Collective Health, Federal University of Rio de Janeiro, Epidemiology and Statistics School Rio de Janeiro, RJ, Brazil
IVDepartament of Basic and Experimental Nutrition, Nutrition Institute, Rio de Janeiro University Rio de Janeiro, RJ, Brazil
INTRODUCTION: In sports, an athletic body
type with low body fat is the most desired.
OBJECTIVE: To estimate the prevalence of menstrual dysfunctions and identify if body composition, especially body fat and training are associated factors of menstrual dysfunctions in Brazilian adolescent competitive swimmers.
METHODS: The sample consisted of 78 female athletes, 11 19-year olds, from the city of Rio de Janeiro. The presence of menstrual dysfunction and training were assessed through a validated questionnaire. Body composition was measured by DXA. Statistical analyses were conducted using SPSS 17.0.
RESULTS: The athletes' mean age was 14.6 ± 0.2 years. Concerning the post-menarcheal athletes, 26.3% met the criteria for menstrual irregularity. Oligomenorrheic athletes started training younger than eumenorrheic ones (5.7 ± 3.1 years versus 7.3 ± 2.4 years, p=0.04), but there was no difference in relation to body composition (total body mass and body fat: 56.1 ± 6.5 kg and 26.3% ± 4.9 versus 53.3 ± 6.9 kg and 25.5 ± 6.5%, respectively).
CONCLUSION: Age of onset of training rather than body composition is associated with menstrual dysfunctions in Brazilian competitive adolescent swimmers.
Keywords: training, menstrual cycle, body composition, athletes, adolescent.
The female interest for physical exercise practice has increased in the last decades contributing to the spread of the participation of teenage girls in sports1. The search for better results with additional pressure from the family and coaches is constant. Besides that, an athletic body type with low percentage of fat is considered the most desirable by these athletes2,3. In this context, physiological dysfunctions which compromise physical performance of an athlete start to come out 4.
Low percentage of fat, when combined with intense training, may lead to hypothalamic alterations which interfere in the release of the female sexual hormones. As a result, alterations in the menstrual cycle of the athlete may be identified, which lead to longer periodicity (oligomenorrhea) or absence of the menstrual cycle (amenorrhea)5.
Total body fat is directly related to the ovarian production of estrogen6. However, with exposure to restrictive diets, the body fat designated to the production of estrogen is redirected to the production of energy, causing irregularities in the estrogen synthesis and consequently, alterations in the menstrual cycle5. The aim of this study was to estimate the prevalence of menstrual dysfunctions and identify if body composition especially body fat and training are factors associated with these dysfunctions in Brazilian adolescent competitive swimmers.
Initially, 108 athletes were selected to participate in the study. Among these, three stopped training during the research, seven were not interested in participating and 20 did not complete all the phases of the study.
Thus, a total of 78 swimmers, aged between 11-19 years were evaluated in the city of Rio de Janeiro, Brazil. In the selected age group, all swimmers who reached at least the fifth position in the ranking of their age categories in state championships in 2005 or 2006 were invited to participate in the study. The participants were investigated for a period longer than two years. Athletes with diabetes mellitus, pregnant and lactating, oral contraceptive users, drug users and smokers were excluded from the study.
Each athlete was asked to sign a free and clarified consent form. Athletes younger than 18 years old should request an authorization from their parents or legal tutors. This research was approved by the Ethics in Research Committee of the Clementino Fraga Filho University Hospital of the Federal University of Rio de Janeiro, Rio de Janeiro, Brazil (under protocol number 217/05).
Total body mass (weight) was checked on a Filizola platform mechanical scale (São Paulo, SP, Brazil), with capacity of 150kg (precision of 100g) and stature was checked with Personal Sanny stadiometers (São Paulo, SP, Brazil), 2-m long (precision of 1mm). All measurements were performed with the athletes wearing only bathing suits, barefoot, not wearing any hair or body accessory.
The body composition (body fat percentage and lean body mass) was performed by dual-energy X-ray absorptiometry - DXA (Lunar Prodigy Advanced Plus, GE Lunar, Milwaukee, WI, USA). Such method is fast, non-invasive and safe for the body composition evaluation. In order to be evaluated, the athletes were at a four-hour fast and 12 hours without performing physical exercises.
The presence of menstrual dysfunctions and training were evaluated through a previously validated self-reported questionnaire 7. Primary amenorrhea was defined as absence of menstrual flow at 16 years of age or older, or absence of pubertal development at 14 years of age or older. Likewise, secondary amenorrhea was defined as absence of menstrual flow for at least six months or for three or more consecutive menstrual cycles. Finally, oligomenorrhea was defined as menstrual cycles longer than 35 days8,9.
Pubertal development was self-evaluated using the Marshall and Tanner charts10. The athletes received a set of five standardized drawings of breasts and female pubic hair stages with an explanatory text for evaluation of their own development. The description of each stage was read for the athletes and after that they were asked to select the stage which best indicated their development. This evaluation was carried out with privacy and was applied by a female researcher. This method was previously validated with this very age group11.
A previous study carried out in Brazil evidenced that mean age of menarche was 12.2 ± 1.1 years for athletes and 11.6 ± 1.9 years for non-athletes7. For this reason, we included in this study the evaluation of 11-year old athletes. However, the swimmers who were in their first year post-menarche were not evaluated for the presence of menstrual disorders, since irregularities in menstruation naturally usually occur in that phase12.
The central tendency and variability measurements were calculated. The Mann-Whitney test was used for the means comparison and the adopted significance level was 5% (p < 0.05). The Kaplan-Meier survival curves were obtained to estimate mean age of menarche. All analyses were carried out using the SPSS program, version 17.0 (SPSS Inc., Chicago, IL, USA).
The 78 swimmers presented mean age of 14.6 ± 2 years. The anamnesis evidenced that the athletes started practicing swimming at 6.6 ± 2 years and that they had been practicing the sport for 8.0 ± 2 years. Generally speaking, the athletes trained for 2.2 ± 0.5 daily hours (1.5 to four daily hours and 5.8 ± 0.5 days per week five to seven days per week).
Presence of menstrual dysfunctions was detected in 26.3% (15 out of the 78) of the athletes. There were no cases of primary or secondary amenorrhea.
Table 1 presents demographic and training data according to the presence or absence of menstrual dysfunctions. Oligomenorrheic athletes presented earlier onset of training than eumenorrheic ones (5.7 ± 3.1 years versus 7.3 ± 2.4 years, p = 0.04).
The athletes' distribution according to the pubertal development stage is presented in table 2. None athlete was classified in stage 1.
Among the athletes who participated in this study, 21.8% (17 out of 78) did not present menarche (pre-menarcheal athletes), 73.1% (57 out of 78) presented menarche (post-menarcheal athletes) and 5.1% (four out of 78) were in their first post-menarche year, and hence, were excluded from the menstrual dysfunction analysis 9. Mean age of menarche was 12.4 ± 0.2 years.
Table 3 presents the body composition according to the menstrual cycle. Statistical differences have not been found between groups when the different body fat compartments were analysed.
Presence of menstrual dysfunctin is higher in the population of athletes than in the population of non-athletes13,14. This prevalence may vary between 3.4% and 66% within the population of athletes and between 2% and 5% among non-athletes15. In adolescents, the prevalence of these alterations has not been well-established yet; however, it is known that this prevalence is more common among athletes who practice in which a thin body is related to performance, such as ballet, artistic gymnastics and long-distance run14. In the current research, 26.3% of the athletes presented some kind of menstrual dysfunction. Similar results were presented by Vigário and Oliveira16, who found menstrual alterations in 22.5% of the Brazilian adolescents who practiced synchronized swimming.
A series of studies suggest association between prevalence of irregularities in the menstrual cycle in athletes and their body composition13,17,18, as well as with low percentage of body fat19. Carlberg et al19. investigated the correlation between body composition and menstrual cycle in 14 athletes with menstrual dysfunctions and 28 athletes with normal cycles in different modalities. In all the analyzed parameters, including body fat percentage, the results were significantly lower in athletes with menstrual alterations, suggesting hence that this occurrence may be related to the low body fat percentage. Nevertheless, no difference has been identified in the body fat percentage among synchronized swimming athletes with or without menstrual dysfunctions20. Tomten and Hostmark21 evaluated runners and found the same results. On the other hand, a study with 30 ballet dancers and 30 non-athletes concluded that there is a significant association between menstrual dysfunction and body fat14.
The present study does not evidence significant differences between total body mass and body fat percentage in athletes and alterations in the menstrual cycle. The fact that the study was carried out with adolescent athletes may have influenced in this result.
Brownell et al.22 believe that the onset of menstrual alterations may be influenced, at least partially, by the body fat distribution. According to these authors, menstrual alterations may be caused by low body fat percentage in the femoral region. Thus, these alterations would be the response from the body to save energy. In the present study, significant differences in femoral fat as well as in other parts of the body have not been observed among athletes with or without menstrual alterations.
Frisch and Mcarthur13 demonstrated that in order to keep the reproductive health and regular menstrual function steady, a minimum of 22% of body fat are necessary. These authors associated this amount of fat with the production of ovarian estrogen. In athletes with fat percentage below 22%, the production of ovarian estrogen, besides the menstrual function, would be compromised. In the present study, significant differences concerning the body fat percentage have not been observed in the analyzed groups. Such fact may suggest that the amount of body fat per se is not directly associated with the regulation of the menstrual cycle in Brazilian adolescent swimmers.
It is rare to find differences in the body fat percentage among female swimmers; for this reason, alterations in the body fat are not related to improvement in performance23. Female swimmers present body fat percentage similar to the girls in the general population24,25. It is believed that in this sport the athletes need greater amount of body fat for flotation and dislocation in the water, which end up causing better results in competitions26.
Besides that, other factors may be related to the presence of alterations in the menstrual cycle, as genetic predisposition, restrictive diets, eating disorders (anorexia nervosa, bulimia nervosa and their respective precursors), psychological stress, intense training routines (high intensity and volume), suppression of the reproductive hormone (estrogen and progesterone) and high blood cortisol levels1,3,17,22,26. In our study, the age of the onset of training was different among swimmers with and without menstrual dysfunction.
In this study, the use of self-reported questionnaires for information on the menstrual cycle and training was a limitation. Another limitation was the lack of hormonal data, which could have aided in our interpretation of the menstrual irregularity, especially of the athletes who presented oligomenorrhea.
Torstveit et al.27 suggested the use of a risk criterion model including questions about menstrual dysfunction for detection of disorders such as eating disorders (ED) in athletes of sports which require thinness. Moreover, in non-thin athletes the self-report of ED is suggested for the early detection of clinical eating disorders. However, extra factors not elucidated yet may be associated with the development of these alterations. Further studies with the goal to help to prevent menstrual dysfunctions in athletes should be carried out. We suggest that coaches and trainers systematically monitor adolescent athletes, contributing hence to the decrease in the prevalence of menstrual dysfunctions as well as reduction in the risk to the health of these athletes.
The authors thank the participants who made this study possible.
1. Mantoanelli G, Vitall SSM, Amâncio SMO. Amenorreia e osteoporose em adolescentes atletas. Rev Nutr Camp 2002;15:319-32. [ Links ]
2. Sevier TL. The industrial athlete. Occup Environ Med 2000;57:285. [ Links ]
3. American College of Sports Medicine. Position Stand: The female athlete triad. Med Sci Sports Exerc 2007;39:1-9. [ Links ]
4. Safran MR, Mckeag DB, VanCamp SP. Manual de Medicina Esportiva. São Paulo, Manole; 2002. [ Links ]
5. Pardini DP. Alterações hormonais da mulher atleta. Arq Bras Endocrinol Metab 2001;45:343-51. [ Links ]
6. Soyka L, Fairfield WP, Klibanski A. Hormonal determinants and disorders of peak bone mass children. J Clin Endocrinol Metab 2000;85:3951-63. [ Links ]
7. Oliveira FP, Bosi MLM, Vigário OS, Vieira RS. Comportamento alimentar e imagem corporal em atletas. Rev Bras Med Esporte 2003;9:384-56. [ Links ]
8. Marshall LA. Clinical evaluation of amenorrhea in active and athletic women. Clin Sports Med 2004;13:371-87. [ Links ]
9. Harel Z. Approach to the adolescent girl as she transits from irregular to regular menstrual cycles. J Pediatr Adolesc Gynecol 2005;18:193-200. [ Links ]
10. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child 1969;44:291-303. [ Links ]
11. Matsudo SMM, Matsudo VKR. Self-assessment and physician assessment of sexual maturation in Brazilian boys and girls: concordance and reproducibility. Am J Hum Biol 1994;6:451-5. [ Links ]
12. Beznos GW. Distúrbios menstruais. In: Coates V, Françoso LA, Beznos GW, editors. Medicina do adolescente. São Paulo: Sarvier; 1993. p. 207-10. [ Links ]
13. Frisch RE, Mcarthur JW. Menstrual cycles: fatness as a determinant of minimum weight for height necessary for their maintenance or onset. Science 1974;185:949-51. [ Links ]
14. Warren MP, Shantha S. The female athlete. Baillieres Clin Endocrinol Metab 2000;14:37-53. [ Links ]
15. The American Academy of Pediatrics. Medical Concerns in the Female Athlete. Pediatrics 2000;106:610-3. [ Links ]
16. Vigário PS, Oliveira FP. Disfunções menstruais em atletas de elite. Arq Mov 2005;1:25-31. [ Links ]
17. Warren MP, Perlroth NE. The effects of intense exercise on the female reproductive system. J Endocrinol 2001;170:3-11. [ Links ]
18. Costil DL, Wilmore JH. Fisiologia do esporte e do exercício. Rio de Janeiro, RJ: Guanabara Koogan S.A., 2004. [ Links ]
19. Carlberg KA, Buckman MT, Peake GT, Riedesel ML. Body composition of oligo/ amenorrheic athletes. Med Sci Sports Exerc 1983;15:215-7. [ Links ]
20. Ramsay R, Wolman R. Are synchronized swimmers at risk of amenorrhea? Br J Sports Med 2001;35:242-4. [ Links ]
21. Tomten SE, Hostmark AT. Energy balance in weight stable athletes with and without menstrual disorders. Scand J Med Sci Sports 2006;16:127-33. [ Links ]
22. Brownell KD, Steen N, Wilmore JH. Weight regulation practices in athletes: analysis of metabolic and health effects. Med Sci Sports Exerc 1987;19:546-56. [ Links ]
23. Tuuri G, Loftin M, Oescher J. Association of swim distance and age with body composition in adult female swimmers. Med Sci Sports Exerc 2002;34:2110-4. [ Links ]
24. Richardson MS, Beerman K, Heiss C, Schultz J. Comparison of body weight and body fat classifications of competitive school-age club swimmers. J Am Diet Assoc 2000;100:237-40. [ Links ]
25. Kjendlie PL, Ingjer F, Stallman RK, Stray-Gundersen J. Factors affecting swimming economy in children and adults. Eur J Appl Physiol 2004;93:65-74. [ Links ]
26. Dusek T. Influence of high intensity training on menstrual cycle disorders in athletes. Croat Med J 2001;42:79-82. [ Links ]
27. Torstveit MK, Rosenvinge JH, Sundgot-Borgen J. Prevalence of eating disorders and the predictive power of risk models in female elite athletes: a controlled study. Scand J Med Sci Sports 2008;18:108-18. [ Links ]
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All authors have declared there is not any potential conflict of interests concerning this article.