Bone mineral density in elite adolescent female figure skaters
© Prelack et al.; licensee BioMed Central Ltd. 2012
Received: 14 June 2012
Accepted: 15 December 2012
Published: 27 December 2012
Elite adolescent figure skaters must accommodate both the physical demands of competitive training and the accelerated rate of bone growth that is associated with adolescence, in this sport that emphasizes leanness. Although, these athletes apparently have sufficient osteogenic stimuli to mitigate the effects of possible low energy availability on bone health, the extent or magnitude of bone accrual also varies with training effects, which differ among skater disciplines.
We studied differences in total and regional bone mineral density in 36 nationally ranked skaters among 3 skater disciplines: single, pairs, and dancers.
Bone mineral density (BMD) of the total body and its regions was measured by dual energy x-ray absorptiometry (DXA). Values for total body, spine, pelvis and leg were entered into a statistical mixed regression model to identify the effect of skater discipline on bone mineralization while controlling for energy, vitamin D, and calcium intake.
The skaters had a mean body mass index of 19.8 ± 2.1 and % fat mass of 19.2 ± 5.8. After controlling for dietary intakes of energy, calcium, and vitamin D, there was a significant relationship between skater discipline and BMD (p = 0.002), with single skaters having greater BMD in the total body, legs, and pelvis than ice dancers (p < 0.001). Pair skaters had greater pelvic BMD than ice dancers (p = 0.001).
Single and pair skaters have greater BMD than ice dancers. The osteogenic effect of physical training is most apparent in single skaters, particularly in the bone loading sites of the leg and pelvis.
Competitive figure skating is a sport that can be beneficial to bone health and the prevention of osteoporosis in female athletes. Elite female skaters, who often begin before puberty, practice up to 30 hours per week on and off the ice. Their training sessions consist of repetitive, high impact, bone loading activities, which favor bone accretion [1–3]. However competitive figure skating is also a sport which emphasizes leanness for performance enhancement and aesthetic reasons . A decrease in energy availability due to intense physical activity and calorie restriction may lead to amenorrhea, bone demineralization, and stress fractures in these female athletes. [5, 6] Adolescent skaters, who attain elite status, may find it particularly challenging to maintain intake adequate to support bone growth while controlling their body weight.
There are several different disciplines in figure skating, including single and pair skating, and ice dancing. Technical requirements differ among these three disciplines. For example, the required elements for female singles short program include at least three jump series that contain double and triple jumps, and jump combinations. Pair skaters have fewer required jumps, however they must incorporate at least one throw jump. So while the routines of single and pair skaters differ in their jump routines, both involve a good deal of bone loading. Ice dancers incorporate more lifts in their routines, but they execute fewer jumps then single and pair skaters. Their landing forces and mechanical bone loading are expected to be much less. We studied the differences in total and region specific bone mineral density in 36 elite, adolescent female skaters, training to compete in single, pair, or ice dancing categories. We hypothesize that BMD is greater in single and pair skaters than in their dancer counterparts.
Data collected from 36 nationally ranked adolescent female figure skaters who attended a spring research camp at the US Olympic Trainer Center in Colorado Springs, CO from 1998–1999 were used for this analysis. Approval for conducting the study was received from the Human Subject Review Committee at the US Olympic Trainer Center, and from the Human Investigation Review Committee at the Tufts Medical Center in Boston. All patients provided informed consent prior to enrollment into the study.
Assessment of dietary intake and physical activity
Prior to their arrival at the training camp, food records and detailed instructions on how to fill them out were sent to the skaters. Skaters were asked to provide 3-day dietary intake records (2 consecutive days and 1 weekend day) during the 2 months prior to their arrival at camp. Physical activity records were also collected on the same three days that participants recorded their dietary intakes to estimate physical activity level during a period of active training. During camp, information about their dietary intakes and physical activity was reviewed with the skater by study staff to clarify any issues on the record. Dietary intakes were verified, coded, entered and analyzed by a registered dietitian on the study staff using Nutritionist IV version 4.1 (First Data Bank, Inc, San Bruno, CA, 1997). Estimated intakes of calories, vitamin D, and calcium were obtained for this analysis.
Dual energy photon absorptiometry (DXA)
Bone density and body composition (lean body mass, fat mass) were determined for the whole body and specific regions using dual energy x-ray absorptiometry (DXA) with a Lunar Densitometer DPX-L Radiation (Madison,WI). Scans were conducted by individuals trained and certified in DXA use. For the scan, the participant was positioned on her back with her body straight, arms at sides, palms down, separated from thighs. Participants were scanned in the morning. Total scan time was between 11–15 minutes. Bone mineral density (BMD) for the total body (TB) and partitioned regions of the body: head, arms, legs, trunk, ribs, pelvis, and spine was determined. Specific sites of interest such as leg (L), spine (S), and pelvis (P) were selected based on their sensitivity to weight bearing bone loading and because we had reference data on that particular instrument for those specific sites available for calculation of z scores. BMD was expressed as grams per centimeter squared (gm/c2). Standardized scores based on age and weight matched controls as generated by the machine’s software (version 1.34; Lunar Corporation, DPX-L technical manual, Appendix C) were used in the analysis. Body composition analysis by DXA was also used to obtain % body fat on the participants.
Height and weight
Prior to DXA scanning, height (to the nearest 0.5 cm) using a stadiometer and weight (to the nearest 50 gms) were measured using a beam balance scale with a non-detachable weight. Measurements were taken in the morning and before training, with subjects dressed in light clothing. Body-mass index (BMI) values were then calculated as the ratio of weight (kg) to height (m) squared (kg/m2).
Statistical analysis was performed by using The SAS® System version 8.2 (SAS Institute Inc, Cary, NC). The relationships between skater discipline (single, pair, and dancer) and BMD standardized z scores for total body, spine, pelvis, and legs were tested using a mixed regression model while controlling for dietary intake of calories, vitamin D, calcium, BMI, and % body fat. Briefly, a model was created for each BMD density variable (total, spine, pelvic, and leg), using these BMD variables as the dependent variable, and skater discipline, dietary intakes for energy, calcium, and vitamin D, a BMI, and % body fat as the independent variables. Significant predictors were identified by the model using a significance of p < 0.05. For those continuous variables (energy, vitamin D, calcium, BMI, and % body fat) that were noted to be significant predictors, linear regression was used for comparisons to all BMD z-scores. For categorical variables (skater type) a one-way analysis of variance (ANOVA) was used to test for mean differences between the 3 skater disciplines for each BMD variable. For comparisons among groups when significance was found, a Tukey post hoc was applied. A probability (p) value of less than 0.05 was considered statistically significant. ANOVA was also used to describe differences in energy, calcium, and vitamin D intake among the three skater groups. All descriptive statistics are given as mean ± standard deviation (sd).
Means for demographic characteristics, dietary intake,and body composition of 36 elite skaters
16 ± 2.5
48.5 ± 6.6
Energy Intake (kcal)
Daily (reference normal) 7
1491.4 ± 471.2 (1993 ± 45.7)
Kcal/kg (recommended intake) 8
31.8 ± 13.2 (71)
Vitamin D (mcg)
3.1 ± 2.6 (5)
Daily (recommended intake) 8
763.3 ± 438.1 (793 ± 21.5)
Daily ( reference normal ) 7
19.8 ± 2.1
Total BMD z score
0.65 ± 0.89
-1.56 - 2.6
Pelvic BMD z score
2.02 ± 1.0
-0.25 - 3.68
Spine BMD z score
0.12 ± 0.82
-1.38 - 2.07
Leg BMD z score
1.25 ± 1.03
-1.22 - 3.84
%Total Body Fat
19.2 ± 5.8
Predictors of bone mineral density
When controlling for all other variables, skater discipline (single, pair, or dancer) and BMI were the only significant predictors of total and all site-specific BMD regions measured in our model. Skaters with the lowest BMI had the lower BMD scores across all BMD regions measured except the pelvis. While there was no significant difference in BMI among the 3 skater disciplines, regression analysis showed that total BMD increased with increasing BMI in the total group of skaters (R = 0.60; p < 0.001). The effect of skater discipline on BMD variables is shown in Figure 1. Single and pair skaters each had higher z scores for total body BMD than did dancers. This was significant for single vs dancer skaters. Both single and pair skaters had significantly higher pelvic z scores than dancer skaters. Single skaters also had significantly higher leg z scores than dancer skaters. There was no significant difference in spine z-scores among the three groups.
The female athlete triad refers to the interrelationships among energy availability, menstrual function, and bone mineralization. If energy deficits are extreme, and body weight and fat mass are very low, estrogen levels fall, with delayed menarche in younger girls and menstrual irregularities.  Bone demineralization may ensue, particularly when intakes of vitamin D and calcium are insufficient, ultimately increasing stress fracture risk. Low energy intakes and suboptimal amounts of bone building nutrients have been reported in figure skaters [10–12]. The degree in which bone loading and physical training counterbalances the detrimental effects of poor nutrition on bone density in this unique group of athletes has not been studied. Furthermore, stratifying by skater discipline, as a proxy for the extent of mechanical loading experienced, has never been attempted, and is the greatest contribution of this study.
The Academy of Sports Medicine recommends that the WHO criteria (z-score of −2.0) be used for identifying risk of osteoporosis in adult female athletes . Defining BMD z-scores cut-offs for predicting fracture risk in adolescents is more difficult, as there is insufficient data on how to adjust BMD for bone size, pre-pubertal age, and skeletal maturity in growing children. The International Society for Clinical Densitometry states that children with a total body BMD z-score of −2.0 (using a pediatric database matched for age and gender) are considered to have “low bone mineral density for chronological age”.  None of our skaters had z-scores less than (−)2.0, indicating that they were not at risk for osteoporosis by any of the established criteria for either adult or adolescent female athletes. Because BMD in female athletes in general is higher than sedentary controls, a more stringent cut-off is recommended by the American College of Sports Medicine . Female athletes who have a history of nutritional deficiencies, stress fractures, or other clinical risk factors together with a “low” BMD z-scores (between −1.0 and −2.0 or greater) are considered to be at osteopenic risk. Suboptimal reported intakes of energy, vitamin D and calcium in our study are somewhat suggestive of a possible clinical deficiency. Even with this possibility, only two of the skaters qualify as at risk. No skater had a history of stress fractures.
Energy intakes for the skaters in this study were similar to those reported in other studies of figure skaters and lower than the 45 kcal/kg suggested for athletes who train for more than 90 minutes per day.  Some of this may be explained by underreporting. Intakes reported here were cross sectional in nature and only during training, when the skaters may have been monitoring their intakes carefully. They do not represent long term and usual intakes. In conjunction with this, mean BMI and percent body fat were relatively unremarkable for this group of skaters, and comparable to that reported in other groups of female athletes participating in weight bearing sports-although both variables ranged markedly among athletes. BMI in our group of skaters averaged 19.1 ± 2.1 compared to female athletes participating in basketball, volleyball, track, softball, soccer, and tennis which averages ranged between 21.6 ± 2.5 and 23.0 ± 2.4. Percent body fat in gymnasts and speed skaters was 13.1 ± 4.8 and 23.7 ± 7.3 compared to our skaters which averaged 20.2 ± 6.0 [17–21].
It is not surprising that we found a relationship between BMI and BMD z-score in our population. Increases in BMD typically correspond to increases in body size as indicated by weight, height or BMI, a phenomenon that is well recognized [22–24]. However, many athletes of low weight status, who participate in intense physical activity, can compensate for this effect. This may explain why some of our skaters with BMI’s below the norm for age as plotted on the CDC (2000) growth charts still demonstrated BMD scores > 100% above their age and weight matched norms. Therefore, even though our skaters showed a positive relationship between BMI and BMD, meaning those with the greatest BMI had a greater BMD, the BMD z scores of our skaters when compared to reference norms were still greater despite a lower BMI.
As might be predicted from what is known about the beneficial effects of jumping and other stressors on bone BMD, single and pair skaters did seem to be better protected from low total body BMD than dancer skaters, even after controlling for dietary intake variables, BMI, and % body fat. In the pelvic and leg regions, which receive the greatest impact of force (the pelvic and leg region), single skaters had significantly higher z-scores than dancer skaters. Pair skaters also had significantly greater pelvic z scores than their dancer counterparts. Since other factors were controlled for in this study, this finding is likely to relate to a training effect. This is also supported by the fact that there was no difference in spine bone density among the groups, which does not receive as much of the impact of landing, among the three skater disciplines.
Disagreement among measures of BMD taken by different DXA models, makes additional comparisons of our data to other reference norms difficult [23, 25]. However, values for total BMD in our skaters were similar to that found in a group of intercollegiate female athletes participating in weight-bearing sports such as gymnastics, soccer, volleyball and track, who were measured on the same DXA unit and software package . These healthy 20 female athletes had a similar BMI (average of 19.1 kg/m2), to our population. Their absolute BMD was 1.2 gm/cm2 compared to our group mean absolute BMD of 1.1 (range: 0.9-1.3) gm/cm2. Field hockey players were also studied using this system. Their absolute BMD was higher than our skaters, (1.3 ± 0.05), but they were older (mean age: 27 ± 3 and had a higher BMI of 22 ± 1.3), which may explain increased BMD over our smaller, younger study population. Absolute BMD measures in sedentary controls used for comparison in their study (but with a greater weight) were equivalent to our BMD, supporting again that physical activity in our skaters compensated for smaller body size [22, 23].
In conclusion, our study shows that bone mineral density varies across skater discipline, with single skaters receiving the largest benefit from training effect in bone loading regions. Skater dancers may be at higher risk since their training does not compensate for the potential of low energy and bone building micronutrient availability as well as do the more intense exercise of the singles and pair dancers.
Dual Energy Photon Absorptiometry
Bone Mineral Density
Grams Per Centimeter Squared
Body Mass Index
We thank all of the elite skaters who volunteered the US Figure Skating Association and the US Olympic Committee for their participation in this study.
- Slemenda CW, Johnston CC: High intensity activities in young women: site specific bone mass effects among female figure skaters. Bone Miner. 1993, 20: 125-132. 10.1016/S0169-6009(08)80021-9.View ArticlePubMedGoogle Scholar
- Oleson CV, Busconi BD, Baran DT: Bone density in competitive figure skaters. Arch Phys Med Rehabil. 2002, 83: 122-128. 10.1053/apmr.2002.26246.View ArticlePubMedGoogle Scholar
- Smith AD: The young skater. Clin Sports Med. 2000, 19: 741-755. 10.1016/S0278-5919(05)70235-0.View ArticlePubMedGoogle Scholar
- Ziegler PJ, Kannan S, Jonnalagadda SS, Krishnakumar A, Taksali SE, Nelson JA: Dietary intake, body image perceptions, and weight concerns of female US International Synchronized Figure Skating Teams. Int J Sport Nutr Exerc Metab. 2005, 15: 550-566.PubMedGoogle Scholar
- Greydanus DE, Omar H, Pratt HD: The adolescent female athlete: current concepts and conundrums. Pediatr Clin North Am. 2010, 57: 697-718. 10.1016/j.pcl.2010.02.005.View ArticlePubMedGoogle Scholar
- Johannsen N, Binkley T, Englert V, Neiderauer G, Specker B: Bone response to jumping is site-specific in children: a randomized trial. Bone. 2003, 33: 533-539. 10.1016/S8756-3282(03)00220-5.View ArticlePubMedGoogle Scholar
- Wright JD, Wang CY, Kennedy-Stephenson J: Dietary intake of ten key nutrients for public health, United States: 1999-2000. Adv Data. 2003, 334: 1-4.PubMedGoogle Scholar
- Position of the American Dietetic Association, Dietitians of Canada, and the American College of Sports Medicine: Nutrition and Athletic Performance. J Am Diet Assoc. 2009, 109: 509-527.View ArticleGoogle Scholar
- Birch K: Female Athlete Triad. BMJ. 2005, 330 (7485): 244-246. 10.1136/bmj.330.7485.244.View ArticlePubMedGoogle Scholar
- Ziegler P, Hensley S, Roepke JB, Whitaker SH, Craig BW, Drewnowski A: Eating attitudes and energy intakes of female skaters. Med Sci Sports Exerc. 1998, 30: 583-586. 10.1097/00005768-199804000-00017.View ArticlePubMedGoogle Scholar
- Ziegler P, Nelson JA, Barratt-Fornell A, Fiveash L, Drewnowski A: Energy and macronutrient intakes of elite figure skaters. J Am Diet Assoc. 2001, 101: 319-325. 10.1016/S0002-8223(01)00083-9.View ArticlePubMedGoogle Scholar
- Ziegler P, Sharp R, Hughes V, Evans W, Khoo CS: Nutritional status of teenage female competitive figure skaters. J Am Diet Assoc. 2002, 102: 374-379. 10.1016/S0002-8223(02)90086-6.View ArticlePubMedGoogle Scholar
- Kanis JA, Melton LJ, Christiansen C, Johnston CC, Khaltaev N: The diagnosis of osteoporosis. J Bone Miner Res. 1994, 9: 1137-1141.View ArticlePubMedGoogle Scholar
- Writing Group for the ISCD Position Development Conference: Diagnosis of osteoporosis in men, premenopausal women, and children. J Clin Densitom. 2004, 7: 17-26. 10.1385/JCD:7:1:17.View ArticleGoogle Scholar
- Nattiv A, Loucks AB, Manore MM, et al: American College of Sports Medicine position stand. The female athlete triad. Med Sci Sports Exerc. 2007, 39: 1867-1882. 10.1249/mss.0b013e318149f111.View ArticlePubMedGoogle Scholar
- Economos CD, Bortz SS, Nelson ME: Nutritional practices of elite athletes. practical recommendations. Sports Med. 1993, 16: 381-399. 10.2165/00007256-199316060-00004.View ArticlePubMedGoogle Scholar
- Greydanus DE, Patel DR: The female athlete. Before and beyond puberty. Pediatr Clin North Am. 2002, 49: 553-580. 10.1016/S0031-3955(02)00005-6. vi.View ArticlePubMedGoogle Scholar
- Carbuhn AF, Fernandez TE, Bragg AF, Green JS, Crouse SF: Sport and training influence bone and body composition in women collegiate athletes. J Strength Cond Res. 2010, 24: 1710-1717. 10.1519/JSC.0b013e3181d09eb3.View ArticlePubMedGoogle Scholar
- Hoch AZ, Pajewski NM, Moraski L, et al: Prevalence of the female athlete triad in high school athletes and sedentary students. Clin J Sport Med. 2009, 19: 421-428. 10.1097/JSM.0b013e3181b8c136.View ArticlePubMedGoogle Scholar
- Webster BL, Barr SI: Body composition analysis of female adolescent athletes: comparing six regression equations. Med Sci Sports Exerc. 1993, 25: 648-653.PubMedGoogle Scholar
- Moon JR, Eckerson JM, Tobkin SE, et al: Estimating body fat in NCAA Division I female athletes: a five-compartment model validation of laboratory methods. Eur J Appl Physiol. 2009, 105: 119-130. 10.1007/s00421-008-0881-9.View ArticlePubMedGoogle Scholar
- Madsen KL, Adams WC, Van Loan MD: Effects of physical activity, body weight and composition, and muscular strength on bone density in young women. Med Sci Sports Exerc. 1998, 30: 114-120.View ArticlePubMedGoogle Scholar
- Sparling PB, Snow TK, Rosskopf LB, O'Donnell EM, Freedson PS, Byrnes WC: Bone mineral density and body composition of the United States Olympic women's field hockey team. Br J Sports Med. 1998, 32: 315-318. 10.1136/bjsm.32.4.315.View ArticlePubMedGoogle Scholar
- Pettersson U, Nordstrom P, Alfredson H, Henriksson-Larsen K, Lorentzon R: Effect of high impact activity on bone mass and size in adolescent females: A comparative study between two different types of sports. Calcif Tissue Int. 2000, 67: 207-214. 10.1007/s002230001131.View ArticlePubMedGoogle Scholar
- Soriano JM, Ioannidou E, Wang J, et al: Pencil-beam vs fan-beam dual-energy X-ray absorptiometry comparisons across four systems: body composition and bone mineral. J Clin Densitom. 2004, 7: 281-289. 10.1385/JCD:7:3:281.View ArticlePubMedGoogle Scholar
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