Skip to main content

Comparison of anterior knee laxity, stiffness, genu recurvatum, and general joint laxity in the late follicular phase and the ovulatory phase of the menstrual cycle

Abstract

Background

One risk factor for anterior cruciate ligament (ACL) injury may be fluctuations in female hormones. This study examined variability in joint laxity, as a risk factor for ACL injury, during the menstrual cycle.

Methods

Subjects were 15 female university students with regular menstrual cycles. We measured estradiol (E2) concentration, anterior knee laxity (AKL), stiffness, genu recurvatum (GR), and general joint laxity (GJL) during the late follicular and ovulatory phases. AKL was measured as anterior tibial displacement of the femur after application of 44-, 89-, and 133-N loads on the tibia. Stiffness was calculated as Δforce/Δdisplacement at loads of 44–89 N and between 89 and 133 N. GR was measured prone, with the base of the patella distal to the edge of the bed. The University of Tokyo joint laxity test was used to evaluate GJL.

Results

E2 concentration was significantly higher in the ovulatory phase than in the late follicular phase (p = 0.018), AKL and stiffness did not differ significantly between phases, and GR and GJL were significantly higher in the ovulatory phase than in the late follicular phase (p = 0.011, 0.031).

Conclusion

These findings suggest that E2 concentrations may affect GR and GJL during the menstrual cycle.

Peer Review reports

Introduction

The incidence of anterior cruciate ligament (ACL) injury is higher in women than in men [1]. One reason for this difference is likely to be hormonal fluctuations [2]. The female menstrual cycle is regulated by the female hormones estrogen and progesterone [3], and is mainly classified into follicular, ovulatory, and luteal phases [4, 5]. The incidence of ACL injury during the menstrual cycle is not constant, with some reports indicating a higher incidence before ovulation than after ovulation [3], and a lower incidence during the luteal phase compared to the follicular and ovulatory phases [5]. Since the incidence of ACL injury differs between each phase of the menstrual cycle, fluctuations in female hormones may be involved in the development of ACL injury [4, 5].

The ACL possesses receptors for estrogen and progesterone [6], and in vitro studies of the ACL have shown that increasing the estradiol (E2) concentration, as a form of estrogen, causes a decrease in human ACL fibroblast proliferation and Type I procollagen synthesis [7]. On the other hand, progesterone decreases the effects of increased E2 concentration on ACL tissue metabolism [8]. Fluctuations in female hormones would thus affect tissue metabolism in the ACL, and ACL tissue metabolism may affect ACL extensibility, leading to changes in anterior knee laxity (AKL). Greater AKL is one risk factor for ACL injury [9, 10]. The relationship between female hormones and AKL during the menstrual cycle has been investigated in vivo using knee arthrometers such as the KT-1000 and KT-2000 (MED metric Corp, San Diego, CA, USA) [11,12,13,14]. Some reports have shown increases in AKL with increasing E2 concentration, but other similar studies have reported no significant changes in AKL during the menstrual cycle [13, 14], so changes AKL during menstrual cycle remain contentious.

In addition to AKL, genu recurvatum (GR) and greater general joint laxity (GJL) have also been reported to be associated with increased risk of ACL injury [15,16,17]. In a previous study that examined variations in GR and GJL during the menstrual cycle, GR was higher in the early luteal phase than in the early follicular phase [18]. In that study, Shultz et al. [18] measured GR in subjects in a supine position by voluntarily contracting the knee extensors. Since Changes in E2 concentration during the menstrual cycle could affect neuromuscular control function [19], observation of changes in peripheral tissues only, excluding central nervous systems, is more appropriate to measure GR passively. Clarification of the relationship between menstrual cycle and risk factors for ACL injury is important for establishing prevention and training methods for ACL injury.

One reason for the lack of consensus on variations in AKL during the menstrual cycle is the lack of uniformity in cycle classification among studies. In some studies, the menstrual cycle was classified only by the length of the cycle, and the timing of measurement was inconsistent among studies [13, 20]. In addition, individual differences exist in the magnitude and timing of female hormone fluctuations [21], so the relationship between hormone fluctuations and physical changes cannot be referred to based solely on the length of the cycle. Measurement of hormone concentrations therefore seems necessary to confirm cycle phases. In addition to hormone concentration measurement, it is possible to classify cycles more accurately using basal body temperature measurement and ovulation kits together.

The purpose of this study was therefore to examine changes in AKL, stiffness, GR, and GJL during the late follicular phase and ovulation phase of the menstrual cycle. We hypothesized that AKL, stiffness, GR, and GJL would increase during the ovulatory phase, when E2 concentrations are higher than in the late follicular phase.

Methods

Subjects

Fifty-six female university students were interviewed and given a questionnaire to determine if they met the study criteria. Inclusion criteria were as follows: 1) have a regular menstrual cycle with a length of 25–38 days [22]; 2) have a biphasic basal body temperature [23]; 3) have no history of damage to the knee joint, including osteochondral cartilage, ligament, tendon, joint capsule, or meniscus [18]; 4) have not used oral contraceptives or other hormonal agents within the past 6 months [18]; and 5) have no current exercise habit more than twice a week [24]. Fifteen subjects (mean age, 21 ± 0.3 years; height, 160.3 ± 5.6 cm; weight, 52.7 ± 10.6 kg; cycle length, 29 ± 2.8 days) met the inclusion criteria and agreed to participate in the study (Fig. 1). The study was performed in accordance with the Declaration of Helsinki after approval by the Ethics Committee of our institution (approval number: 17946). The study content was fully explained to the subjects, and written, informed consent was obtained from all subjects before they participated in the study.

Fig. 1
figure 1

Subject selection process. Fifty-three female university students were surveyed, with 23 excluded after not meeting the inclusion criteria. For the remaining 29 students who agreed to participate in the study, their menstrual cycles were checked, and 7 were excluded because of cycle abnormalities. Of the 21 students who completed measurements, 2 with cycle abnormalities, 2 with monophasic basal body temperatures, and 2 with measurement errors were excluded. A final total of 15 female university students with biphasic basal body temperatures and normal menstruation were included

Confirmation of the menstrual cycle

The subjects were asked to measure their basal body temperature upon waking up every morning from 1 to 2 months before the start of the experiment. Basal body temperature was measured using a basal body thermometer (Citizen Electronic Thermometer CTEB503L; Citizen Systems Co., Tokyo, Japan). To estimate the day of ovulation, subjects were given an ovulation kit (Doctor’s Choice One Step Ovulation Test Clear; Beauty and Health Research, Inc., Torrance, CA, USA). A basal body temperature chart was prepared as a record sheet, and daily basal body temperature, menstrual period, and results of the ovulation kit were recorded. The transition to the high-temperature phase of basal body temperature coincides with or precedes ovulation [23]. We thus judged that basal body temperature shifted from the lower to the higher temperature phase and appeared biphasic when basal body temperature on the three consecutive days after the estimated day of ovulation was ≥0.2 °C higher than the average basal body temperature of the six consecutive days before the estimated day of ovulation [23].

Timing of measurements

E2 concentration, AKL, stiffness, GR, and GJL were measured three times each during the late follicular phase and ovulatory phase, for a total of six times. The late follicular phase was measured during 3 days from the 2nd to 5th day after the end of menstruation, and the ovulatory phase was measured during 3 days from the 2nd to 5th day after the day on which the ovulation kit showed positive results. To account for diurnal variations, measurements were taken between 08:00 and 12:00 [12]. Temperature in the room was set to 20–25 °C.

Measurement method

E2 concentration was measured using a saliva collection kit (SalivaBio A Salimetrics LLC Company, and the following points were strictly obeyed by subjects prior to saliva collection to avoid possible influence on E2 concentration: 1) prohibition of food intake within 60 min; 2) prohibition of alcohol intake within 12 h; 3) prohibition of sugary, acidic, or caffeinated drinks within 20 min; 4) prohibition of dairy products within 20 min; and 6) prohibition of saliva collection within 48 h after dental treatment. In addition, subjects were asked to rinse their mouths before the start of the experiment so that any food particles would not remain in the mouth, and saliva samples were taken > 10 min after rinsing the mouth, to prevent decreases in E2 concentration. Saliva was collected in the mouth for 1 min, then ejected into a saliva collection container (Cryovial; SAL) using a special straw (Siva Collection Aid; SAL). The saliva sample was immediately frozen in a freezer at less than − 80 °C after collection. After collecting all samples, analysis of E2 concentrations was entrusted to Funakoshi Corporation (Tokyo, Japan). E2 concentrations were determined using the High Sensitivity salivary 17β-Estradiol Enzyme Immunoassay Kit (SALIMETRICS), with samples thawed at room temperature, mixed by vortexing, centrifuged at 1500×g for 15 min, and analyzed by enzyme-linked immunosorbent assay. Dilutions were uniformly 1-fold dilution (undiluted solution).

AKL was measured as anterior tibial displacement of the femur after application of 44-, 89-, and 133-N loads to the tibia, referring to a previous study [25]. The KS Measure (KS Measure KSM-100; Mark Electronics Co., Kanagawa, Japan) was used for measurement, following the measurement standards of Japan Sigmax Corporation (Tokyo, Japan). The subject was placed in a supine position, a knee rest was placed under the distal posterior surface of the thigh and a footrest was placed under the foot so that knee joint flexion was approximately 30° using a goniometer (Goniometer; Nishikawashinwa, Tokyo, Japan). The position of the KS Measure was adjusted so that the area of patellar contact was centered on the knee and the area of ankle contact was centered on the ankle. A traction belt was attached to the lower leg and a lower limb fixation belt was attached to the ankle. The subject was instructed to relax, and the measurement was made by pulling the load handle (Fig. 2). Five measurements were performed on the subject’s axle leg which opposite to the one kicking the ball, and the average of the three remaining measurements after excluding the maximum and minimum values was used as the measurement value. Knee joint angle measurement was performed by two examiners: one operating the load handle and one controlling the KS Measure panel. Stiffness was calculated as Δforce/Δdisplacement at loads between 44 and 89 N and between 89 and 133 N.

Fig. 2
figure 2

Position for measurement of anterior knee laxity. The subject was placed in a supine position, with the knee support placed on the distal posterior surface of the thigh, and the foot support placed under the foot to achieve approximately 30° of knee flexion. The position of the KS Measure was adjusted so that the area of patellar contact was centered on the knee and the area of ankle fixation was centered on the ankle. The lower leg was fixed with the traction belt and the ankle fixation belt

GR was measured using a goniometer to evaluate the range of motion of knee extension. The subject was placed in a prone position on the bed, and the base of the patella was positioned distal to the edge of the bed [26]. The hip joint was set at 0° of internal and external rotation. The basic axis was from the greater trochanter of the femur to the lateral epicondyle of the femur, and the translation axis was from the head of the fibula to the lateral malleolus (Fig. 3). Measurements were taken three times, using the mean value as the measurement value. Two examiners, one to evaluate and one to manually restrain the pelvis to prevent lifting, performed the measurements.

Fig. 3
figure 3

Position for measurement of genu recurvatum. The subject was placed in a prone position on the bed, with the base of the patella distal to the edge of the bed [26]. The hip joint was set at 0° of internal and external rotation. The basic axis was from the greater trochanter of the femur to the lateral femoral epicondyle, and the translation axis was from the head of the fibula to the lateral malleolus

The University of Tokyo joint laxity test was used for evaluation of GJL [27] (Fig. 4). One point was recorded for each component criterion that was met (0.5 points for each side), for a total score of 0–7. Components including a joint angle as a criterion were evaluated using a goniometer. The order of measurements was as follows: GJL was measured first, then AKL and GR were measured randomly. Finally, saliva samples were collected.

Fig. 4
figure 4

The University of Tokyo joint laxity test. This test evaluates joint laxity in the six major joints of the body and in the spine. A score is given when the condition for each parameter is met. Scores for Joints 1–5 (Wrist, Elbow, Shoulder, Knee, and Ankle, respectively) are 0.5 points for each side, and scores for Joints 6 and 7 (Spine and Hip) are 1 point. Maximum score is 7 points

Evaluation of intra-examiner reproducibility

The reproducibility of AKL and GR measurements was examined in 10 adult males (mean age, 21 ± 0.7 years; height, 173 ± 6.2 cm; weight, 68 ± 9.9 kg) with no history of orthopedic conditions and no pain in the lower limbs. Reproducibility was calculated using the intraclass correlation coefficient (ICC)(1, 3).

Statistical analysis

Two-way repeated-measures analysis of variance was used for comparison of AKL and stiffness between the two phases. Corresponding t-test was used for comparison of E2 concentration, GR, and GJL between phases. The significance level was set at 5%. Statistical analyses were performed using SPSS version 24.0) (Tokyo, Japan).

Results

The ICC (1,3) values for AKL were 0.871 (44 N), 0.827 (89 N), and 0.816 (133 N). The ICC (1,3) values for GR was 0.894. According to the criterion of Landis et al. [28], reproducibility is considered almost perfect for ICC values ≥0.81, so the reproducibility was considered sufficient. Data for E2 concentration, AKL, stiffness, GR, and GJL in the late follicular and ovulatory phases are shown in Table 1. E2 concentration was significantly higher in the ovulatory phase than in the late follicular phase (p = 0.018), AKL did not differ significantly between phases, and GR and GJL were significantly higher in the ovulatory phase than in the late follicular phase (p = 0.011, 0.031).

Table 1 Comparison of Estradiol concentration, Anterior Knee Laxity, Genu Recurvatum, and General Joint Laxity by two phases (late follicular and ovulatory)

Discussion

In this study, AKL and stiffness did not show significant differences between the late follicular and ovulatory phases, consistent with previous studies reporting that AKL does not fluctuate during the menstrual cycle [13, 14]. Some studies have reported no direct correlation between AKL and E2 concentration [11], and that fluctuations in E2 concentration may delay AKL by 3–4 days [29], suggesting that the timing of fluctuations in E2 concentration and AKL may not be synchronized. On the other hand, other studies have reported that AKL increased in the ovulatory phase compared to the early follicular phase [12, 20, 21]. The reason for such discrepancies between the present results and the findings of previous studies is presumably the difference in the timing of measurements: although most reports of increased AKL compared the early follicular phase with the ovulatory phase [5, 12, 20, 21], the present study compared the late follicular phase with the ovulatory phase. The late follicular phase is the period when E2 concentration gradually increases, but we avoided the early follicular phase because it may discomfort the subject to be in the prone position for measurement during the menstruation. However, E2 concentration was significantly higher in the ovulatory phase than in the late follicular phase, so we could examine the relationship between variations in E2 concentration and AKL in the two periods. Therefore, it is possible that AKL does not fluctuate between the late follicular phase and the ovulatory phase.

GR was significantly increased in the ovulatory phase compared with the late follicular phase. In this study, GR was measured as the range of motion of knee joint extension. Stability of the posterior knee joint is not only restricted by bony structures, but also by the soft tissues surrounding the knee joint, such as the posterior capsular ligament, ACL, posterior cruciate ligament, oblique popliteal ligament, hamstrings, and gastrocnemius muscle [30]. A previous study confirmed that E2 receptors present in skeletal muscle [31]. The present results suggest that E2 concentration may affect skeletal muscle, and that the knee in extension and GJL may change during the menstrual cycle. However, the clinical significance of the measured difference in GR of only 1° between the two phases has not been investigated and is unknown. There may be some significance to the change from 9° to 10°, because ACL injury is more common in those with GR more than 10° [32]. The clinical significance in GR needs to be investigated in the future.

GJL was significantly higher in the ovulatory phase than in the late follicular phase, suggesting that the soft tissues around the joints may have changed. Shultz et al. [18] reported that GJL changed with menstrual cycle, suggesting that hormonal fluctuations may affect joint laxity.

A key limitation of this study was that although both GR and GJL assessed joint laxity, we were unable to determine which specific tissues both inside and outside the joint were affected in this study. Examination of the relationship between E2 and factors that increase GR and GJL will be necessary in the future. In addition, only 25% of all recruited subjects were included in the data analysis which is potentially limit the generalizability of the data. The most of subjects who did not inclusion criteria by their history of damage to the knee joint, including osteochondral cartilage, tendon, joint capsule, or meniscus. The number of subjects who excluded by using oral contraceptives is only two. Further, reports have suggested that relaxin, progesterone, and testosterone are associated with ACL injury [33, 34]. Other female hormones may therefore affect AKL, stiffness, GR, and GJL, and the relationships with other female hormones should therefore be considered.

Conclusions

Among female university students with regular menstrual cycles, we found no significant differences in AKL or stiffness between the late follicular and ovulatory phases. GR and GJL were higher in the ovulatory phase than in the late follicular phase. Variations in E2 concentration during the menstrual cycle may thus affect variations in GR and GJL.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available due to limitations of ethical approval involving the patient data and anonymity but are available from the corresponding author on reasonable request.

References

  1. Agel J, Rockwood T, Klossner D. Collegiate ACL injury rates across 15 sports: National Collegiate Athletic Association injury surveillance system data update (2004-2005 through 2012-2013). Clin J Sport Med. 2016;26(6):518–23.

    Article  Google Scholar 

  2. Hewett TE, Webster KE, Hurd WJ. Systematic selection of key logistic regression variables for risk prediction analyses: a five-factor maximum model. Clin J Sport Med. 2017;0(0):1–8.

    CAS  Google Scholar 

  3. Beynnon BD, Johnson RJ, Braun S, Sargent M, Bernstein IM, Skelly JM, et al. The relationship between menstrual cycle phase and anterior cruciate ligament injury a case-control study of recreational alpine skiers. Am J Sports Med. 2006;34(5):757–64.

    Article  Google Scholar 

  4. Wojtys EM, Huston LJ, Boynton MD, Spindler KP, Lindenfeld TN. The effect of the menstrual cycle on anterior cruciate ligament injuries in women as determined by hormone levels. Am J Sports Med. 2002;30(2):182–8.

    Article  Google Scholar 

  5. Somerson JS, Isby IJ, Hagen MS, Kweon CY, Gee AO. The menstrual cycle may affect anterior knee laxity and the rate of anterior cruciate ligament rupture a systematic review and meta-analysis. J Bone Joint Surg. 2019;7(9):e2.

    Google Scholar 

  6. Liu SH, Al-Shaikh RA, Panassian V, Finerman GA, Lane JM. Estrogen affects the cellular metabolism of the anterior cruciate ligament. A potential explanation for female athletic injury. Am J Sports Med. 1997;25:704–9.

    Article  CAS  Google Scholar 

  7. Yu WD, Liu SH, Hatch JD, Panossiun V, Finerman GA. Effect of estrogen on cellular metabolism of the human anterior cruciate ligament. Clin Orthop Relat Res. 1999;366:229–38.

    Article  Google Scholar 

  8. Yu WD, Panossian V, Hatch JD, Liu SH, Finerman GA. Combined effects of estrogen and progesterone on the anterior cruciate ligament. Clin Orthop Relat Res. 2001:268–81.

  9. Davey AP, Vacek PM, Caldwell RA, Slauterbeck JR, Gardner-Morse MG, Tourville TW, et al. Risk factors associated with a noncontact anterior cruciate ligament injury to the contralateral knee after unilateral anterior cruciate ligament injury in high school and college female athletes a prospective study. Am J Sports Med. 2019;47(14):3347–55.

    Article  Google Scholar 

  10. Vacek PM, Slauterbeck JR, Tourville TW, Sturnick DR, Holterman LA, Smith HC, et al. Multivariate analysis of the risk factors for first-time noncontact ACL injury in high school and college athletes. Am J Sports Med. 2016;44(6):1492–501.

    Article  Google Scholar 

  11. Heitz NA, Eisenman PA, Beck CL, Walker JA. Hormonal changes throughout the menstrual cycle and increased anterior cruciate ligament laxity in females. J Athl Train. 1999;34(2):144–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Shultz SJ, Gansneder BM, Sander TC, Kirk SE, Perrin DP. Absolute serum hormone levels predict the magnitude of change in anterior knee laxity across the menstrual cycle. J Orthop Res. 2006;24(2):124–31.

    Article  CAS  Google Scholar 

  13. Eiling E, Bryant AL, Petersen W, Murphy A, Hohmann E. Effects of menstrual-cycle hormone fluctuations on musculotendinous stiffness and knee joint laxity. Knee Surg Sports Traumatol Arthrosc. 2007;15:126–32.

    Article  CAS  Google Scholar 

  14. Beynnon BD, Bernstein IM, Belisle A, Brattbakk B, Devanny P, Risinger R, et al. The effect of estradiol and progesterone on knee and ankle joint laxity. Am J Sports Med. 2005;33(9):1298–304.

    Article  Google Scholar 

  15. Sundemo D, Senorski EH, Karlsson L, Horvath A, Juul-Kristensen B, Karlsson J, et al. Generalised joint hypermobility increases ACL injury risk and is associated with inferior outcome after ACL reconstruction: a systematic review. BMJ Open Sp Ex Med. 2019;5:e000620.

    Article  Google Scholar 

  16. Price MJ, Tuca M, Cordasco FA, Green DW. Nonmodifiable risk factors for anterior cruciate ligament injury. Wolters Kluwer Health. 2017;29.

  17. Kramer LC, Denegar CR, Buckley WE, Hertel J. Factors associated with anterior cruciate ligament injury: history in female athletes. J Sports Med Phys Fitness. 2007;47:446–54.

    CAS  PubMed  Google Scholar 

  18. Shultz SJ, Levine BJ, Nguyen AD, Kim H, Montgomery MM, Perrin DH. A comparison of cyclic variations in anterior knee laxity, genu recurvatum, and general joint laxity across the menstrual cycle. J Orthop Res. 2010;28:1411–7.

    Article  Google Scholar 

  19. Ansdell P, Brownstein CG, Škarabot J, Hicks KM, Simoes DC, Thomas K, et al. Menstrual cycle-associated modulations in neuromuscular function and fatigability of the knee extensors in eumenorrheic women. J Appl Physiol. 2019;126:1701–12.

    Article  CAS  Google Scholar 

  20. Lee H, Petrpfsky JS, Daher N, Berk L, Laymon M, Khowailed IA. Anterior cruciate ligament elasticity and force for flexion during the menstrual cycle. Med Sci Monit. 2013;19:1080–8.

    Article  Google Scholar 

  21. Park SK, Stefanyshyn DJ, Loitz-Ramage B, Hart DA, Ronsky JR. Changing hormone levels during the menstrual cycle affect knee laxity and stiffness in healthy female subjects. Am J Sports Med. 2009;37(3):588–98.

    Article  Google Scholar 

  22. Nose-Ogura S, Yoshino O, Dohi M, Kigawa M, Harada M, Hiraike O, et al. Risk factors of stress fractures due to the female athlete triad: differences in teens and twenties. Scand J Med Sci Sports. 2019;29:1501–10.

    Article  Google Scholar 

  23. Moghissi KS. Prediction and detection of ovulation. Fertil Steril. 1980;34(2):89–98.

    Article  CAS  Google Scholar 

  24. Pollard CD, Braun B, Hamill J. Influence of gender, estrogen and exercise on anterior knee laxity. Clin Biomech. 2016;21:1060–6.

    Article  Google Scholar 

  25. Maruyama S, Yamazaki T, Sato Y, Suzuki Y, Shimizu S, Ikezu M, et al. Relationship between anterior knee laxity and general joint laxity during the menstrual cycle. Orthop J Sports Med. 2021;9(3).

  26. Hansmann S, Benseler SM, Kuemmerle-Deschner JB. Dynamic knee joint function in children with juvenile idiopathic arthritis [2]. Pediatr Rheumatol. 2015;13(8).

  27. Motohashi M. Profile of bilateral anterior cruciate ligament injuries: a retrospective follow-up study. J Orthop Surg. 2004;12(2):210–5.

    Article  CAS  Google Scholar 

  28. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.

    Article  CAS  Google Scholar 

  29. Shultz SJ, Kirk SE, Johnson ML, Sander TC, Perrin DH. Relationship between sex hormones and anterior knee laxity across the menstrual cycle. Med Sci Sports Exer. 2004;36:1165–74.

    Article  CAS  Google Scholar 

  30. Loudon JK, Goist HL, Loudon KL. Genu recurvatum syndrome. J Orthop Sports Phys Ther. 1998;27(5):361–7.

    Article  CAS  Google Scholar 

  31. Wiik A, Ekman M, Morgan G, Johansson O, Jansson E, Esbjörnsson M. Oestrogen receptor β is present in both muscle fibres and endothelial cells within human skeletal muscle tissue. Histochem Cell Biol. 2005;124:161–5.

    Article  CAS  Google Scholar 

  32. Ramesh T, Von Arx O, Azzopardi T, Schranz PJ. The risk of anterior cruciate ligament rupture with generalised joint laxity. J Bone Joint Surg Br. 2005;87(6):800–3.

    Article  CAS  Google Scholar 

  33. Stijak L, Kadija M, Djulejić V, Aksić M, Petronijević N, Marković B, et al. The influence of sex hormones on anterior cruciate ligament rupture: female study. Knee Surg Sports Traumatol Arthrosc. 2015;23:2742–9.

    Article  Google Scholar 

  34. Dragoo JL, Castillo TN, Braun HJ, Ridley HA, Kennedy AC, Golish SR. Prospective correlation between serum relaxin concentration and anterior cruciate ligament tears among elite collegiate female athletes. Am J Sports Med. 2011;39(10):2175–80.

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by a Grant-in-Aid for Scientific Research (19 K11358) from the Japanese Society for the Promotion of Science (JSPS) and Commissioned by the Japan Sports Agency (Female Athletes Development and Support Projects 2020).

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

MS and MS contributed to study design and data collection, and drafted the manuscript; CS and HY contributed to data analysis and made critical revisions to the manuscript; RH, AH, and MY made critical revisions to the manuscript; ME supervised the study, contributed to analysis and interpretation of data, and made critical revisions to the manuscript. All authors read and approved the final manuscript prior to submission.

Corresponding author

Correspondence to Mutsuaki Edama.

Ethics declarations

Consent to participate

Not Applicable.

Ethics approval and consent to participate

Informed consent was obtained from the families of all subjects. This study was approved by the ethics committee of the Niigata University of Health and Welfare, Niigata, Japan. All the methods were carried out in accordance with relevant guidelines and regulations.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shagawa, M., Maruyama, S., Sekine, C. et al. Comparison of anterior knee laxity, stiffness, genu recurvatum, and general joint laxity in the late follicular phase and the ovulatory phase of the menstrual cycle. BMC Musculoskelet Disord 22, 886 (2021). https://doi.org/10.1186/s12891-021-04767-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-021-04767-8

Keywords