Next Article in Journal
Enhancing Teaching Recovery Techniques (TRT) with Parenting Skills: RCT of TRT + Parenting with Trauma-Affected Syrian Refugees in Lebanon Utilising Remote Training with Implications for Insecure Contexts and COVID-19
Next Article in Special Issue
Influence of Football Match-Play on Isometric Knee Flexion Strength and Passive Hip Flexion Range of Motion in Football Referees and Assistant Referees
Previous Article in Journal
Social Belonging as the Main Concern for Achieving Life Satisfaction When Adapting to Parkinson’s Disease
Previous Article in Special Issue
Sports Specialization and Sports-Related Injuries in Japanese School-Aged Children and Adolescents: A Retrospective Descriptive Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Potential Role of Hamstring Extensibility on Sagittal Pelvic Tilt, Sagittal Spinal Curves and Recurrent Low Back Pain in Team Sports Players: A Gender Perspective Analysis

by
Antonio Cejudo
1,*,
Josep María Centenera-Centenera
2,* and
Fernando Santonja-Medina
3
1
Department of Physical Activity and Sport, Faculty of Sport Sciences, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, 30100 Murcia, Spain
2
Department of Surgery, Traumatology and Orthopedics, Bofill Clinic, 17002 Gerona, Spain
3
Department of Surgery, Pediatrics, Obstetrics and Gynecology, Faculty of Medicine, Regional Campus of International Excellence “Campus Mare Nostrum”, University of Murcia, 30100 Murcia, Spain
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(16), 8654; https://doi.org/10.3390/ijerph18168654
Submission received: 13 July 2021 / Revised: 3 August 2021 / Accepted: 13 August 2021 / Published: 16 August 2021

Abstract

:
It is assumed that mechanical restriction of hamstring tightness disrupts sagittal spine–pelvis–leg alignment and alters the lumbar–pelvic rhythm predisposing to low back pain (LBP) in athletes; however, this association is not clear. A prospective cross-sectional cohort study was conducted to determine the influence of hamstring extensibility (HE) on sagittal pelvic tilt, sagittal spinal curves, and LBP in 94 soccer and basketball players (61 man and 33 woman) with (n = 36) and without recurrent LBP (n = 58). Descriptive analysis displayed significant gender differences for HE, sagittal pelvic tilt, and lumbar curve. Differences were found between the low-HE and high-HE groups in lumbosacral angle in for the maximum trunk forward flexion (LH-MTFP). Low-HE was associated with LH-MTFP, lumbar curve and LBP in male players (p ≤ 0.023). In female players, LH-MTFP and lumbar curve were associated with low-HE (p ≤ 0.020). Low-HE predicted LH-MTFP (p = 0.000; OR = 65.6950) and LBP (p = 0.028; OR = 13.915) in male players. The decision tree analysis showed that 50.8% of the players were classified with restricted LH-MTFP, 77.4% with low-HE among male players. The 100% of male players with recurrent LBP had low-HE. The 65% of female players with low-HE had restricted LH-MTFP. Measurement of HE, lumbar curve, and LH-MTFP are important in making training decisions for to reduce the incidence of recurrent LBP in soccer and basketball players.

1. Introduction

Low back pain (LBP) is one of the most common health-related complaints in team sport players. Previous systematic reviews have reported that the prevalence of LBP in these athletes ranges from 17% to 94% [1,2]. Specifically, the prevalence of LBP in past 12 months has been reported from 6.5% to 47% in soccer players [3,4,5] and from 12.8% to 44% in basketball players [6,7,8]. A previous episode of LBP is often predictive of future back injury [9], which will affect sports participation and performance [9]. Therefore, prevention of LBP in competitive soccer and basketball players is important to health and sport professionals. Based on assumptions, clinical findings, and scientific studies, various risk factors—such as high body mass [1,10], sports experience [1], muscle weakness [11,12], muscle tightness [13,14,15], sagittal lumbo-pelvic misalignments [12,16], and sagittal spinal misalignments [17,18]—have been postulated as potential predictors of LBP in athletes and general population. In this sense, lumbar hyperlordosis in standing [19,20,21] and lumbar hypolordosis or hypokyphosis-posterior convexity-in trunk forward flexion [22] positions have been associated with LBP. Both spinal misalignments combined with the mechanical overload of repetitive sport-specific movements (trunk flexion, extension, and rotation) result in mechanical stress and/or microtrauma to the different joint tissues, which cause spinal pathologies [23,24,25]. Radiological and magnetic resonance imaging studies in players have shown a correlation between lumbar hyperlordosis and spinal pathologies such as discogenic pathology [25,26,27,28], lumbar disc herniation [27,29], degenerative spine/osteoarthritis [20,28,30], and spondylolysis stress fracture of the pars interarticularis [27,28,30,31]. Most researchers agree that these spinal pathologies and lumbar hyperlordosis are common causes of LBP in basketball [25,26,30,32,33,34] and soccer [23,30,31,32,35] players.
Maintaining of normal sagittal alignment of the spine requires a neutral pelvic position in the major sports postures (standing and trunk forward flexion). Based on the lumbopelvic region, it has been observed that changes in the sagittal pelvic tilt affect the type of lumbar lordosis, hypolordosis or hyperlordosis [36]. The increase in pelvic anteversion causes lumbar hyperlordosis in standing due to iliopsoas tightness [37,38,39], strong trunk extensors and weak trunk flexors [37,40], and gluteus maximus weakness [41]. In addition, trunk extension and flexion are usually accompanied by anterior and posterior pelvic tilt. Lumbar hyperkyphosis is mainly caused by hamstring tightness, which limits anterior pelvic tilt [42,43]. Furthermore, hip and trunk extension are usually also accompanied by anterior and posterior pelvic tilt [36,38]. Posterior pelvic tilt is a result of hip and trunk forward flexion [36,38]. Several authors pointed out that muscle imbalance due to muscle tension and weakness affects neutral lumbopelvic alignment and can cause lower crossed syndrome [44,45], spinal misalignment [37,42,46], and LBP [19,37]. For this reason, several studies have reported that players and non-players with LBP have greater increased anterior pelvic tilt than asymptomatic [38,47,48,49].
Of all the muscles that affect pelvic position, hamstring extensibility (HE) is considered the most important. The hamstring stabilize the pelvis in the sagittal plane by controlling the anterior pelvic tilt during dynamic posture, trunk forward flexion [37,43]. Previous studies have observed that hamstring tightness restricts anterior pelvic tilt in soccer [35,50] and basketball [51] players limiting the range of trunk forward flexion unless compensated for by an increase in lumbar flexion [18,52,53,54]. These studies report that hamstring tightness may play a potential impact on pelvic position, sagittal spinal curves, and LBP in competitive athletes.
On the other hand, gender-related differences in the above risk factors for LBP have been found in the scientific literature. For example, lumbar hyperlordosis predominates in female athletes and thoracic hyperkyphotic in male athletes [55,56,57]. In general, female athletes show better pelvic alignment in static and dynamic postures [56,57,58,59,60,61] than male athletes due to greater HE [62,63,64]. In recent years, a high prevalence of competitive football and basketball players with recurrent LBP problems visiting sports medicine centers has been observed. In order to develop prevention strategies, health and sports professionals are interested in analyzing the connection of risk factors for LBP and understanding how they interact during the sequence of movement of the lumbar–pelvic rhythm, especially in static and dynamic postures. Based on this approach to analysis, the objectives of this study were to determine the influence of HE on sagittal pelvic tilt, sagittal spinal curves, and LBP in soccer and basketball players with and without LBP; and to analyze these interactions between risk factors and LBP from a gender perspective. We hypothesized that HE no limits the anterior pelvic tilt, promote sagittal spinal misalignments, and predisposes to LBP in soccer and basketball players.

2. Materials and Methods

2.1. Study Design

A current prospective cross-sectional cohort study was conducted to determine the influence of HE on sagittal pelvic tilt, sagittal integral morphotype, and LBP in 94 competitive amateur soccer and basketball players with (n = 36) and without LBP (n = 58). Familiarization with the testing procedures was conducted during the players’ first visit to the sports medicine center during the pre-competition period. During the second visit, each subject filled out the questionnaire containing demographic, anthropometric, and soccer or basketball training data. In addition, the assessment of HE, sagittal pelvic position, and sagittal spinal curves was performed. LBP-related data were collected over a 12-month period after the assessment session of this study by a principal medical examiner. Players were classified as LBP-free, having recurrent LBP or, having chronic LBP, depending on their LBP history. Between 10 and 12 players per day were assessed by the medical examiners. Each player was examined individually. All players were asymptomatic at the time of assessment.
Participants were instructed to avoid strenuous exercise for 24 h prior to the assessment session. All measurements were taken in a single session held in a private room under standard environmental conditions of 25 ºC, with participants wearing the usual equipment used during training. Players did not perform any warm-up or stretching exercises prior to the testing session. Measurements were taken simultaneously by two consultant traumatologists and orthopedic surgeons with over 30 years’ experience in musculoskeletal assessment. The same lead medical examiner measured sagittal spinal curves and HE. The assisting medical examiner controlled compensatory movements and recorded the data. The order of testing was randomized to eliminate bias that could appear on the results using a specific sequence and each test was performed three times. The average of the nearest measurements was used for further statistical analysis. The data were then analyzed to confirm or reject the null hypothesis described previously.

2.2. Participants

A sample of 94 (61 man and 33 woman) competitive amateur players soccer and basketball participated in this study. Their age, height, and weight mass were 24.35 ± 4.76 years (range: 16–30 years), 82.4 ± 11.49 kg (67.3–98.5 kg), and 1.82 ± 0.08 m (1.69–1.95 m), respectively (Table 1). Players’ experience in non-professional leagues was at least three years (8.34 ± 7.51 years) and they trained at least three hours per week (6.52 ± 2.84 h/w). The players had not previously received treatment for frontal or sagittal plane pathology through the use of a brace or specific kinesiotherapy. They did not suffer from symptoms of LBP or musculoskeletal limitations during the assessment session.
This study followed the principles of the Declaration of Helsinki and was approved by the Ethics and Research Committee of the University of Murcia (ID: 1702/2017). Participants were fully informed of the purpose and methodology before the tests and provided signed informed consent. The power of the sample size for this research was analyzed as described in the statistical analysis section.

2.3. Self-Administered Questionnaire

The self-administered questionnaire consisted of four major sections for collecting information on demographics, anthropometrics, sports experience, and detailed questions on LBP (location, pain history, and severity). The assistant investigator reviewed the questionnaires information. This examiner assessed the anthropometric data. Players were divided into two groups according to having history of LBP (LBP-group) or not (LBP-free group). Recurrent LBP consisted of episodes of LBP for less than 12 weeks. If LBP lasted longer than 12 weeks, or for at least half the days of the year, it was classified as chronic LBP [65,66].

2.4. Assessment of Hamstring Extensibility

Maximum passive hip flexion with the knee extended range of motion (HF-KE) for HE was performed using the ROM-SPORT battery methodology according to Cejudo et al. [67]. Both the non-dominant and dominant lower extremities were evaluated. The preferred kicking leg was defined as the ‘dominant’ leg. The HF-KE were measured using an ISOMED Unilevel inclinometer (ISOMED, Inc, Portland, OR, USA). The angle (Figure 1) between the longitudinal axis of the mobilized lower extremity (following its bisector) with the horizontal was assessed [68]. The precision of the inclinometer (ISOMED, Inc, Portland, OR, USA) is two degrees.

2.5. Sagittal Pelvic Tilt and Spinal Curves Assessed

The lumbosacral or lumbo-horizontal angle (Figure 1) was measured in the slump sitting and in the maximum trunk forward flexion positions according to the methodology described by Santonja et al. [69]. The pelvic position angle was measured with a standard goniometer with level bubble (Baseline, White Plains, NY 10602, USA). Players’ sagittal thoracic and lumbar curves (Figure 2) were evaluated in the relaxed standing, slump sitting, and maximum trunk forward flexion positions as described by Santonja-Medina et al. [69]. The ISOMED Unilevel inclinometer (ISOMED, Inc., Portland, OR, USA) was used to determine the sagittal thoracic and lumbar curves. Lordosis or posterior concavity was recorded with the value having a negative sign, and kyphosis or anterior concavity was recorded with the value having a positive sign.

2.6. Statistical Analysis

Data analysis were performed with the SPSS 24.0 software (IBM, Armonk, NY, USA). The p value threshold for statistical significance was stablished at 0.05. In order to calculate the power of the sample size, a post hoc power analysis was conducted using the software package G*Power 3.1.9.7. (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). Normality of data distribution was checked using the Kolmogorov–Smirnov test.
Descriptive statistics were expressed as mean ± standard deviation. Gender differences in descriptive variables were compared using the U de Mann–Whitney test. Dominant and non-dominant HF-KE were compared using Wilcoxon test. The effect size was calculated using the Hedge’s g (95% confidence interval) and was interpreted according to Hopkins et al. [70] as trivial (<0.2), small (0.2 to 0.59), moderate (0.6 to 1.19), large (1.20 to 2.00), very large (2.00 to 3.99), or extremely large (>4.0). Based on the normal ranges of sagittal spinal curves described by Santonja-Medina et al. [69] for the general population, the relative and absolute frequencies with normal spinal alignment or spinal misalignment were calculated. A k-means cluster analysis was performed to determine a cut-off value for HE and to classify players into those with high (high-HE) and low (low-HE) HE. Finally, Pearson’s chi-square test, Cramér’s V test (symmetric or strength of association), and Lambda test (directional or coefficient of predictability/predictive accuracy Guttman’s Lambda) were used to determine the influence of HE (high HE vs. low HE) on sagittal pelvic tilt, sagittal spinal curves, and LBP. According to Lee et al. [71], the interpretation of Cramér’s V and Lambda test was scored as negligible (<0.1), weak (0.1 to 0.3), moderate (0.2 to 0.4), relatively strong (0.4 to 0.6), strong (0.6 to 0.8), and very strong (0.8 to 1.0) association. A binary logistic regression model was used to determine whether low HE predicted restricted sagittal pelvic and spinal misalignment and LBP. In parallel, a decision tree analysis was performed to plot and calculate the probability of pelvic, spinal malalignment, and LBP according to high-HE or low-HF.

3. Results

In a previous double-blind study (2 assessment sessions 24 h apart) of 12 young adults, the investigators demonstrated excellent intra-examiner reliability of measurements (sagittal spine curves: ICC ≥ 0.90; DMC95% confidence ≤0.85°; HE: ICC ≥ 0.91; DMC95% confidence ≤5.3°).
Descriptive analysis revealed significant gender differences (Table 1) with moderate effect size for HF-KE (Hedge’s g = 0.95), sagittal pelvic tilt (Hedge’s g = 0.94), thoracic curve in slump sitting position (Hedge’s g = 0.76) and lumbar curve in slump sitting position (Hedges’ g = 0.89). Gender difference showed large effect size for lumbar curve in relaxed standing position (Hedge’s g = −1.53). Sample statistical power was calculated posteriori with input parameters sample sizes of 61 male players and 33 female players, an alpha level of p < 0.05, effect size (Hedge’s g = 0.47 to 1.40; Table 1) used for a one-tailed Mann–Whitney U test (G*Power version 3.1.9.7, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). The variables analyzed obtained a statistical power of ≥0.85 for HF-KE, slump sitting position, LH-maximum trunk forward flexion position, lumbar curve, thoracic curve in slump sitting position, 0.70 for thoracic curve in relaxed standing position, and 0.61 for thoracic curve in MTFP.
For male (Table 2) and female (Table 3) players, differences were found between the low-HE and high-HE groups with very large effect size in HF-KE (male: Hedge’s g = −2.03; female: Hedge’s g = −3.74) and LH-MTFP (male: Hedge’s g = 1.94; female: Hedge’s g = 2.62).
Of all the variables studied, low-HE was significantly associated (p ≤ 0.023) with lumbosacral angle in slump sitting position, lumbosacral angle in maximum trunk forward flexion position, lumbar curve and recurrent LBP in male players (Table 4). In female players, lumbosacral angle in maximum trunk forward flexion position and lumbar curve were significantly associated (p ≤ 0.020) with low-HE (Table 5).
The recurrent LBP group consisted of 36 players, and the asymptomatic group consisted of 58 players. No player with chronic LBP was identified. Initial stepwise logistic and enter regression analysis revealed that low-EH predicted lumbosacral angle in -maximum trunk forward flexion position (p = 0.000; OR = 65.6950; CI95% = 6.806 to 634.122) and recurrent LBP (p = 0.028; OR = 13.915; CI95% =1.334 to 145.198) with a high classification accuracy (25 of 61 male players (85.2%)) in male players (sensibility = 85.25%; specificity = 85.30%). In female players, low-HE had no effect on lumbosacral angle in maximum trunk forward flexion position, sagittal spinal curves, and recurrent LBP (p ≥ 0.998; OR = 2.059; CI95% = 0.000 to 0.000) with a high classification accuracy (5 of 6 female players (97.00%)).
Finally, among male players (Figure 3), the results of the decision tree analysis showed that 77.4% of the players classified with restricted lumbosacral angle in maximum trunk forward flexion position had low-HE (node 1). Among male players with recurrent LBP (100%), all players had low-HE. The same analysis showed that 65% of female players with low-HE had restricted lumbosacral angle in maximum trunk forward flexion position (Node 4).

4. Discussion

To the authors’ knowledge, the present study is the first study to analyze, from a gender perspective, the influence of HE (low-HE versus high-HE) on sagittal pelvic position, sagittal spinal curves and LBP in soccer and basketball players. HE is of particular interest for the prevention and treatment of recurrent LBP. Previous studies have showed the role of hamstring tightness on the spinal injury mechanism and pathogenesis of LBP [15,72]. However, before discussing our finding on this topic, the key point of this article was the gender differences found in most of the variables measured. Therefore, to determine whether HE causes sagittal misalignments of the upper anatomical regions (sagittal pelvic tilt and lumbar and thoracic curves) and recurrent LBP, all variables in this study were analyzed specifically according to gender. It should also be noted in the statistical analysis of this study that previously published values for normality and tightness of hamstring were not used. The main reason for this is the controversial results in the scientific literature, which may be due to different quantitative concepts of hamstring tightness or even the method used to assess muscle extensibility [67]. Female players were found to have a higher HF-KE cut-off than male players. This finding was previously reported in soccer [63,73,74,75] and basketball [6,74,75,76] players. These findings may be explained by the gender differences, including differences in anatomy, such as percentage of muscle mass, sexual dimorphism of the pelvis architecture, lower limbs length, and lower center of gravity [36,77,78], hormonal effects [77], muscle properties, such as muscle stiffness [79,80,81], and fundamental recruitment patterns include walking, bending, and reaching [82,83]. Specific to the spine, gender differences were found in factors related to trunk muscle loads [84,85] and spine–pelvis–leg movement patterns [82]. In addition, a greater habit of flexibility training in female athletes contributes to higher values of muscle extensibility [86]. Therefore, the different values of HE between male and female athletes may show a different influence on pelvic position, sagittal spinal curves, and recurrent LBP (Table 4 and Table 5).
The significant differences between the low-HE and high-HE groups for the lumbosacral angle in maximum trunk forward flexion position provide further evidence that HE influences anterior pelvic flexion during the maximum trunk forward flexion position. Frequency distribution analysis showed that 77.4% and 75% of male and female players with restricted slump sitting position, respectively, had low-HE (Figure 3). The 55.8% of male players with slump sitting position also had low-HE. These results confirm previously published results in soccer [35,50] and basketball [51] players, who had a higher anterior pelvic tilt angle during dynamic posture compared to non-athletes. Trunk forward flexion is the basic posture of sports technical movements that results from coordinated activity between the erector spinae, gluteus maximum, and hamstring [87]. This movement—which combines lumbar flexion, anterior pelvic tilt, and hip flexion—is called the lumbar–pelvic rhythm [43,87]. Considering that the lumbar–pelvic rhythm is necessary for optimal trunk forward flexion, hamstring tightness can result in compensatory movements of the lumbar and thoracic spine to adequately perform the technically required sports movements [16,88]. These altered movement patterns and compensatory movements lead to excessive mechanical stress and strain on the lumbar tissues, which promotes spinal injuries and LBP [18,43,88,89]. For this reason, it is normal to find a high incidence of hamstring tightness in the population with LBP [16,49]. In relation to the results of slump sitting position, several research studies have also shown that the HE does not significantly affect the pelvic tilt in the static position such as standing or sitting [16,19,52,53,90,91].
A second finding of this study was that the low-HE group was significantly associated with lumbar curve in male and female players (Table 4 and Table 5). This is the first study to report that lumbar spinal curve is influenced by low-HE values in soccer and basketball players. Of the 18 male players classified with lumbar sagittal misalignment, 66.7% had low-HE (Figure 3). The percentage was lower in female players (42.1%). However, in the descriptive analysis, it should be highlighted that low-HE group was composed of only eight female players. The results of this study are consistent with previous studies reporting that low-HE was associated with lumbar sagittal misalignments in different sports. Rodríguez-García et al. [92] found correlation values between HE in relation to thoracic, lumbar, and pelvic curves in 243 athletes. López-Miñarro and Alacid [54] and López-Miñarro et al. [93] found greater lumbar flexion and posterior pelvic tilt in kayakers and canoeists with lower HE. A high rate of equestrian riders with lumbar spinal misalignments (functional lumbar hyperkyphosis, hyperlordotic posture, and lumbar hypermobility) and hamstring tightness was also found [56]. Recently, Sainz de Baranda et al. [62] found a relative frequency of 84% hamstring tightness and 66.2% functional lumbar hyperkyphosis in 74 inline field hockey players. In contrast, hamstring tightness did not cause lumbar sagittal misalignments in rowers [94] and young athletes [95]. However, we should not forget that other factors such as weakness of the abdominal muscles [40,96]; and gluteal muscles [41], tightness of the hip flexors [37,38,39], and sagittal pelvic misalignment [36] also determine the alignment of the lumbar curve or not.
A final finding of this study was that low-HE was significantly associated with recurrent LBP only in male players (Figure 3). Mechanical restriction of hamstring tightness disrupts normal sagittal spine–pelvis–leg alignment [18,42,43] and alters the sequence of movement of the lumbar–pelvic rhythm, especially in dynamic postures such as maximum trunk forward flexion position [16,87,88]. This can lead to excessive lumbar tissues loading [97] and lumbar intradiscal pressure [98,99,100], predisposing individuals to LBP [43,98,100]. This biomechanical movements sequence was observed in the decision tree analysis results with the exception of the sagittal lumbar curve in male players. This analysis revealed that 77.4% of players with restricted lumbosacral angle in maximum trunk forward flexion position and 65% of players with recurrent LBP had low-HE. Our results in male soccer and basketball players are similar to previous association and correlation reports. Recently, a systematic review with meta-analysis concluded that individuals with LBP in the general population HE and stiffness are impaired [101]. Significant limitation in HF-KE range of motion and HE in the LBP group compared with the control group is consistent with previously reported findings [15,70]. Furthermore, Radwan et al. [102] demonstrated that the greater the hamstring tightness experienced by the patient, the greater the severity of LBP.
In contrast, no significant association was found between lumbar curve and recurrent LBP in female players (Figure 3). This result has been previously reported by other authors in athletes and non-athletes. Nadler et al. [103] showed no association between HE or leg length discrepancy, and the development of LBP in athletes of different sports including soccer and basketball. The study of Stutchfield and Coleman [94] reported that LBP was not associated with HE in male university rowers. Active adults with LBP had significantly shorter HE than the asymptomatic ones [42,104]. In female players, LBP is possibly associated with other maladaptive postural strategies of regular sports practice [18,53,72] caused by restricted lumbosacral angle in maximum trunk forward flexion position and low-HE.
Further studies are required to determine the influence of hamstring tightness on the observed sagittal movement patterns (spine–pelvis–leg alignment) and lumbar–pelvic rhythm. This strategy will aid in the design of a stretching program that includes stretching exercises that comprehensively train sagittal movement patterns and lumbar–pelvic rhythm in athletes with and without LBP. Measurement of HF-KE, lumbar curve, and lumbosacral angle in maximum trunk forward flexion position are important in making training decisions for to reduce the incidence of LBP in soccer and basketball players. Moreover, this study should increase the sample size. In the case of this study, the sample size of the players, especially female players with low hamstring extensibility and limited anterior pelvic flexion, was limited. Increasing the sample size will help to counterbalance the number of participants in both categories for all variables evaluated in order to decrease the error in the identification of risk factors and prediction of LBP.

5. Conclusions

Gender differences were found in sagittal pelvic position, thoracic curve in slump sitting position, lumbar curve in relaxed standing position, and slump sitting position. In male and female players, differences were found between low-HE and high-HE groups in HF-KE and lumbosacral angle in maximum trunk forward flexion position. The probability of low-HE influences on the pelvis is 77.4% in male players with restricted lumbosacral angle in maximum trunk forward flexion position, and 100% in recurrent LBP players. For female players, the probability of low-HE influences on the pelvis is 75% in players with restricted lumbosacral angle in maximum trunk forward flexion position.

Author Contributions

Conceptualization, F.S.-M., A.C., and J.M.C.-C.; Methodology, F.S.-M., A.C., and J.M.C.-C.; Software, A.C.; Validation, F.S.-M., A.C., and J.M.C.-C.; Formal analysis, F.S.-M., and A.C.; Investigation, F.S.-M., A.C., and J.M.C.-C.; Resources, F.S.-M. and A.C.; Data curation, F.S.-M., A.C., and J.M.C.-C.; Writing—original draft preparation, F.S.-M., and A.C.; Writing—review and editing, F.S.-M., and A.C.; Visualization, F.S.-M., and A.C.; Supervision, F.S.-M., and A.C.; Project administration, F.S.-M., A.C., and J.M.C.-C.; Funding acquisition, F.S.-M. and A.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by Ethics and Research Committee of the University of Murcia (Spain) (ID: 1702/2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data sets used and analyzed during the current study are available from the first or corresponding author on reasonable request.

Acknowledgments

We are grateful to Cristina Cuello for her critical reading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Trompeter, K.; Fett, D.; Platen, P. Prevalence of Back Pain in Sports: A Systematic Review of the Literature. Sports Med. 2017, 47, 1183–1207. [Google Scholar] [CrossRef] [Green Version]
  2. Farahbakhsh, F.; Rostami, M.; Noormohammadpour, P.; Mehraki Zade, A.; Hassanmirazaei, B.; Faghih Jouibari, M.; Kordi, R.; Kennedy, D. Prevalence of low back pain among athletes: A systematic review. J. Back Musculoskelet. Rehabil. 2018, 31, 901–916. [Google Scholar] [CrossRef] [PubMed]
  3. Eirale, C.; Hamilton, B.; Bisciotti, G.; Grantham, J.; Chalabi, H. Injury epidemiology in a national football team of the Middle East. Scand. J. Med. Sci. Sports 2012, 22, 323–329. [Google Scholar] [CrossRef] [PubMed]
  4. Noormohammadpour, P.; Mirzaei, S.; Moghadam, N.; Mansournia, M.; Kordi, R. Comparison of lateral abdominal muscle thickness in young male soccer players with and without low back pain. Int. J. Sports Phys. Ther. 2019, 14, 273–281. [Google Scholar] [CrossRef]
  5. Grosdent, S.; Demoulin, C.; Rodriguez, C.; Cruz, L.; Giop, R.; Tomasella, M.; Crielaard, J.-M.; Vanderthommen, M. Lumbopelvic motor control and low back pain in elite soccer players: A cross-sectional study. J. Sports Sci. 2015, 34, 1021–1029. [Google Scholar] [CrossRef] [PubMed]
  6. Pasanen, K.; Rossi, M.; Parkkari, J.; Kannus, P.; Heinonen, A.; Tokola, K.; Myklebust, G. Low back pain in young basketball and floorball players. Clin. J. Sport Med. 2016, 26, 376–380. [Google Scholar] [CrossRef]
  7. Yabe, Y.; Hagiwara, Y.; Sekiguchi, T.; Momma, H.; Tsuchiya, M.; Kanazawa, K.; Itaya, N.; Yoshida, S.; Sogi, Y.; Yano, T.; et al. High prevalence of low back pain among young basketball players with lower extremity pain: A cross-sectional study. BMC Sports Sci. Med. Rehabil. 2020, 12, 40. [Google Scholar] [CrossRef] [PubMed]
  8. Hagiwara, Y.; Yabe, Y.; Sekiguchi, T.; Momma, H.; Tsuchiya, M.; Kanazawa, K.; Yoshida, S.; Sogi, Y.; Yano, T.; Onoki, T.; et al. Association of Upper Extremity Pain with Lower Back Pain Upper Extremity Pain Is Associated with Lower Back Pain among Young Basketball Players: A Cross-Sectional Study. Tohoku J. Exp. Med. 2020, 250, 79–85. [Google Scholar] [CrossRef] [Green Version]
  9. Wilson, F.; Ardern, C.; Hartvigsen, J.; Dane, K.; Trompeter, K.; Trease, L.; Vinther, A.; Gissane, C.; McDonnell, S.; Caneiro, J.; et al. Prevalence and risk factors for back pain in sports: A systematic review with meta-analysis. Br. J. Sports Med. 2021, 55, 601–607. [Google Scholar] [CrossRef]
  10. Raza, A.; Jamshaid, M.; Riaz, T.; Bashir, I.; Majeed, I.; Akram, W.; Town Lahore, J. Correlation of back pain with obesity and posture among teenagers. Anaesth. Pain Intensive Care 2017, 21, 112–116. [Google Scholar]
  11. Cho, K.; Beom, J.; Lee, T.; Lim, J.; Lee, T.; Yuk, J. Trunk muscles strength as a risk factor for nonspecific low back pain: A pilot study. Ann. Rehabil. Med. 2014, 38, 234–240. [Google Scholar] [CrossRef] [Green Version]
  12. Araújo, L.; Dell’Antonio, E.; Hubert, M.; Ruschel, C.; Roesler, H.; Pereira, S. Trunk muscular endurance, lumbar spine mobility and hip flexibility in sailors with and without low back pain. Fisioter. Mov. 2020, 33, 1–8. [Google Scholar] [CrossRef]
  13. Cejudo, A.; Ginés-Díaz, A.; Sainz de Baranda, P. Asymmetry and Tightness of Lower Limb Muscles in Equestrian Athletes: Are They Predictors for Back Pain? Symmetry 2020, 12, 1679. [Google Scholar] [CrossRef]
  14. Patel, D.; Kinsella, E. Evaluation and management of lower back pain in young athletes. Transl. Pediatr. 2017, 6, 225–235. [Google Scholar] [CrossRef] [Green Version]
  15. Halbertsma, J.; Göeken, L.; Hof, A.; Groothoff, J.; Eisma, W. Extensibility and stiffness of the hamstrings in patients with nonspecific low back pain. Arch. Phys. Med. Rehabil. 2001, 82, 232–238. [Google Scholar] [CrossRef]
  16. Congdon, R.; Bohannon, R.; Tiberio, D. Intrinsic and imposed hamstring length influence posterior pelvic rotation during hip flexion. Clin. Biomech. 2005, 20, 947–951. [Google Scholar] [CrossRef] [PubMed]
  17. Sainz de Baranda, P.; Andújar, P.; Collazo-Diéguez, M.; Pastor, A.; Santonja-Renedo, F.; Martínez-Romero, M.; Aparicio-Sarmiento, A.; Cejudo, A.; Rodríguez-Ferrán, O.; Santonja-Medina, F. Sagittal standing spinal alignment and back pain in 8 to 12-year-old children from the Region of Murcia, Spain: The ISQUIOS Program. J. Back Musculoskelet. Rehabil. 2020, 33, 1–12. [Google Scholar] [CrossRef] [PubMed]
  18. Esola, M.; McClure, P.; Fitzgerald, G.; Siegler, S. Analysis of lumbar spine and hip motion during forward bending in subjects with and without a history of low back pain. Spine 1996, 21, 71–78. [Google Scholar] [CrossRef] [PubMed]
  19. Nourbakhsh, M.; Arab, A. Relationship between mechanical factors and incidence of low back pain. J. Orthop. Sports Phys. Ther. 2002, 32, 447–460. [Google Scholar] [CrossRef] [PubMed]
  20. Daniels, J.; Pontius, G.; El-Amin, S.; Gabriel, K. Evaluation of low back pain in players. Sports Health 2011, 3, 336–345. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Sarcevic, Z.; Tepavcevic, A. Association Among Dyskinesia of the Lumbar Spine Segment, Inclination Angle of the Lumbosacral Spine, and Low Back Pain in Young Athletes: A Predictive. J. Manip. Physiol. Ther. 2020, 43, 646–654. [Google Scholar] [CrossRef] [PubMed]
  22. Cejudo, A.; Gómez-Lozano, S.; Sainz de Baranda, P.; Vargas-Macías, A.; Santonja-Medina, F. Sagittal integral morphotype of female classical ballet dancers and predictors of sciatica and low back pain. Int. J. Environ. Res. Public Health 2021, 18, 5039. [Google Scholar] [CrossRef] [PubMed]
  23. Swärd, L.; Hellstrom, M.; Jacobsson, B.; Pëterson, L. Back pain and radiologic changes in the thoraco-lumbar spine of athletes. Spine 1990, 15, 124–129. [Google Scholar] [CrossRef]
  24. Neumann, D. Kinesiology of the Musculoskeletal System: Foundation for Rehabilitation; Mosby, Inc.: New York, NY, USA, 2013; ISBN 9780323039895. [Google Scholar]
  25. Baranto, A.; Hellström, M.; Cederlund, C.; Nyman, R.; Swärd, L. Back pain and MRI changes in the thoraco-lumbar spine of top athletes in four different sports: A 15-year follow-up study. Knee Surg. Sports Traumatol. Arthrosc. 2009, 17, 1125–1134. [Google Scholar] [CrossRef]
  26. Drakos, M.; Domb, B.; Starkey, C.; Callahan, L.; Allen, A. Injury in the National Basketball Association: A 17-year overview. Sports Health 2010, 2, 284–290. [Google Scholar] [CrossRef] [PubMed]
  27. Dunn, I.; Proctor, M.; Day, A. Lumbar Spine Injuries in Athletes. Neurosurg. Focus 2006, 21, E4. [Google Scholar] [CrossRef] [Green Version]
  28. Micheli, L.; Wood, R. Back pain in young athletes: Significant differences from adults in causes and patterns. Arch. Pediatr. Adolesc. Med. 1995, 149, 15–18. [Google Scholar] [CrossRef]
  29. Trainor, T.; Trainor, M. Etiology of Low Back Pain in Athletes. Curr. Sports Med. Rep. 2004, 3, 41–46. [Google Scholar] [CrossRef] [PubMed]
  30. Hangai, M.; Kaneoka, K.; Hinotsu, S.; Shimizu, K.; Okubo, Y.; Miyakawa, S.; Mukai, N.; Sakane, M.; Ochiai, N.; The, F. Lumbar Intervertebral Disk Degeneration in Athletes. Am. J. Sports Med. 2009, 37, 149–155. [Google Scholar] [CrossRef]
  31. Purcell, L.; Micheli, L. Low back pain in young athletes. Sports Health 2009, 1, 212–222. [Google Scholar] [CrossRef] [Green Version]
  32. Lawrence, K.; Elser, T.; Stromberg, R. Lumbar spondylolysis in the adolescent athlete. Phys. Ther. Sport 2016, 20, 56–60. [Google Scholar] [CrossRef] [PubMed]
  33. Congeni, J.; McCulloch, J.; Swanson, K. Lumbar spondylolysis. A study of natural progression in athletes. Am. J. Sports Med. 1997, 25, 248–253. [Google Scholar] [CrossRef] [PubMed]
  34. Deleo, T.; Merotto, S.; Smith, C.; D’Angelo, K. A posterior ring apophyseal fracture and disc herniation in a 21-year-old competitive basketball player: A case report. J. Can. Chiropr. Assoc. 2015, 59, 373–382. [Google Scholar] [PubMed]
  35. Wodecki, P.; Guigui, P.; Hanotel, M.; Cardinne, L.; Deburge, A. Sagittal alignment of the spine: Comparison between soccer players and subjects without sports activities. Rev. Chir. Orthop. Repar. LAppar. Mot. 2002, 88, 328–336. [Google Scholar]
  36. Kapandji, A. Fisiología Articular III: Miembro Inferior; Medica Panamericana: Madrid, Spain, 2007; ISBN 9788498350470. [Google Scholar]
  37. Kendall, F.; McCreary, E.; Provance, P.; Rodgers, M.; Romani, W. Muscles: Testing and Function with Posture and Pain; Lippincott Williams & Wilkins: Baltimore, MD, USA, 2005; ISBN 0781747805. [Google Scholar]
  38. Kolber, M.; Fiebert, I. Addressing flexibility of the rectus femoris in the athlete with low back pain. Strength Cond. J. 2005, 27, 66–73. [Google Scholar] [CrossRef]
  39. Bogduk, N.; Pearcy, M.; Hadfield, G. Anatomy and biomechanics of psoas major. Clin. Biomech. 1992, 7, 109–119. [Google Scholar] [CrossRef]
  40. Kim, H.; Chung, S.; Kim, S.; Shin, H.; Lee, J.; Kim, S.; Song, M. Influences of trunk muscles on lumbar lordosis and sacral angle. Eur. Spine J. 2006, 15, 409–414. [Google Scholar] [CrossRef] [Green Version]
  41. Van Wingerden, J.; Vleeming, A.; Buyruk, H.; Raissadat, K. Stabilization of the sacroiliac joint in vivo: Verification of muscular contribution to force closure of the pelvis. Eur. Spine J. 2004, 13, 199–205. [Google Scholar] [CrossRef] [Green Version]
  42. Fasuyi, F.; Fabunmi, A.; Adegoke, B. Hamstring muscle length and pelvic tilt range among individuals with and without low back pain. J. Bodyw. Mov. Ther. 2017, 21, 246–250. [Google Scholar] [CrossRef]
  43. Norris, C.; Matthews, M. Correlation between hamstring muscle length and pelvic tilt range during forward bending in healthy individuals: An initial evaluation. J. Bodyw. Mov. Ther. 2006, 10, 122–126. [Google Scholar] [CrossRef]
  44. Janda, V. Muscle Function Testing; Elsevier: Amsterdam, The Netherlands, 2013. [Google Scholar]
  45. Morris, C.E.; Bonnefin, D.; Darville, C. The Torsional Upper Crossed Syndrome: A multi-planar update to Janda’s model, with a case series introduction of the mid-pectoral fascial lesion as an associated etiological factor. J. Bodyw. Mov. Ther. 2015, 19, 681–689. [Google Scholar] [CrossRef] [PubMed]
  46. Rockey, A. The Relationship between Anterior Pelvic Tilt, Hamstring Extensibility and Hamstring Strength; University of North Carolina: Greensboro, NC, USA, 2008. [Google Scholar]
  47. Day, J.; Smidt, G.; Lehmann, T. Effect of Pelvic Tilt on Standing Posture. Phys. Ther. 1984, 64, 510–516. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Youdas, J.; Garrett, T.; Egan, K.; Therneau, T. Lumbar lordosis and pelvic inclination in adults with chronic low back pain. Phys. Ther. 2000, 80, 261–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Ashmen, K.; Swanik, C.; Lephart, S. Strength and flexibility characteristics of athletes with chronic low-back pain. J. Sport Rehabil. 1996, 5, 275–286. [Google Scholar] [CrossRef]
  50. Small, K.; McNaughton, L.; Greig, M.; Lohkamp, M.; Lovell, R. Soccer fatigue, sprinting and hamstring injury risk. Int. J. Sports Med. 2009, 30, 573–578. [Google Scholar] [CrossRef]
  51. Kayacan, Y.; Ciftcioglu, E.; Soslu, R. The effect of basketball sport on some postural parameters. J. Acad. Res. 2014, 6, 23–27. [Google Scholar] [CrossRef]
  52. Li, Y.; McClure, P.; Pratt, N. The Effect of Hamstring Muscle Stretching on Standing Posture and on Lumbar and Hip Motions During Forward Bending. Phys. Ther. 1996, 76, 836–849. [Google Scholar] [CrossRef] [Green Version]
  53. Gajdosik, R.; Hatcher, C.; Whitsell, S. Influence of short hamstring muscles on the pelvis and lumbar spine in standing and during the toe-touch test. Clin. Biomech. 1992, 7, 38–42. [Google Scholar] [CrossRef]
  54. López-Miñarro, P.; Alacid, F. Influence of hamstring muscle extensibility on spinal curvatures in young athletes. Sci. Sports 2010, 25, 188–193. [Google Scholar] [CrossRef]
  55. Sainz de Baranda, P.; Santonja-Medina, F.; Rodríguez-Iniesta, M. Valoración de la disposición sagital del raquis en gimnastas especialistas en trampolín. RICYDE Rev. Int. Cienc. Deporte 2009, 5, 21–33. [Google Scholar] [CrossRef]
  56. Ginés-Díaz, A.; Martinez-Romero, M.; Cejudo, A.; Aparicio-Sarmiento, A.; Sainz de Baranda, P. Sagittal Spinal Morphotype Assessment in Dressage and Show Jumping Riders Physical. J. Sport Rehabil. 2019, 29, 533–540. [Google Scholar] [CrossRef]
  57. Sanz-Mengibar, J.; Sainz de Baranda, P.; Santonja-Medina, F. Training intensity and sagittal curvature of the spine in male and female artistic gymnasts. J. Sports Med. Phys. Fit. 2018, 58, 465–471. [Google Scholar] [CrossRef]
  58. Vialle, R.; Levassor, N.; Rillardon, L.; Templier, A.; Skalli, W.; Guigui, P. Radiographic analysis of the sagittal alignment and balance of the spine in asymptomatic subjects. J. Bone Jt. Surg. 2005, 87, 260–267. [Google Scholar] [CrossRef]
  59. Sainz de Baranda, P.; Santonja-Medina, F.; Rodríguez-Iniesta, M. Training time and sagittal curvature of the spine in trampolin gymnasts. Rev. Int. Med. Cienc. Act. Fís. Deporte 2010, 10, 521–536. [Google Scholar]
  60. Grabara, M. Anteroposterior curvatures of the spine in adolescent athletes. J. Back Musculoskelet. Rehabil. 2014, 27, 513–519. [Google Scholar] [CrossRef] [PubMed]
  61. Arampatzis, A.; Frank, J.; Laube, G.; Mersmann, F. Trunk muscle strength and lumbo-pelvic kinematics in adolescent athletes: Effects of age and sex. Scand. J. Med. Sci. Sports 2019, 29, 1691–1698. [Google Scholar] [CrossRef] [PubMed]
  62. Sainz de Baranda, P.; Cejudo, A.; Moreno-Alcaraz, V.; Martinez-Romero, M.; Aparicio-Sarmiento, A.; Santonja, F. Sagittal spinal morphotype assessment in 8 to 15 years old Inline Hockey players. PeerJ 2020, 8, e8229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Faherty, M.; Varnell, M.; Csonka, J.; Salesi, K.; Gomez, S.; Sell, T.; Krzyzewski, M.W. Science and Medicine in Football Sex differences in lower extremity musculoskeletal and neuromuscular characteristics in intercollegiate soccer athletes. Sci. Med. Footb. 2019, 4, 45–51. [Google Scholar] [CrossRef]
  64. Nikolaidis, P.; Buśko, K.; Clemente, F.; Tasiopoulos, I.; Knechtle, B. Age-and sex-related differences in the anthropometry and neuromuscular fitness of competitive taekwondo athletes. Open Access J. Sports Med. Sports Med. 2016, 7, 177–186. [Google Scholar] [CrossRef] [Green Version]
  65. Korff, M. Studying the Natural History of Back Pain. Spine 1994, 19, 2041S–2046S. [Google Scholar] [CrossRef]
  66. Van Dillen, L.; Bloom, N.; Gombatto, S.; Susco, T. Hip rotation range of motion in people with and without low back pain who participate in rotation-related sports. Phys. Ther. Sport 2008, 9, 72–81. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Cejudo, A.; Sainz de Baranda, P.; Ayala, F.; De Ste Croix, M.; Santonja-Medina, F. Assessment of the Range of Movement of the Lower Limb in Sport: Advantages of the ROM-SPORT I Battery. Int. J. Environ. Res. Public Health 2020, 17, 7606. [Google Scholar] [CrossRef] [PubMed]
  68. Cejudo, A.; Sainz de Baranda, P.; Ayala, F.; Santonja, F. Test-retest reliability of seven common clinical tests for assessing lower extremity muscle flexibility in futsal and handball players. Phys. Ther. Sport 2015, 16, 107–113. [Google Scholar] [CrossRef] [PubMed]
  69. Santonja-Medina, F.; Collazo-Diéguez, M.; Martínez-Romero, M.; Rodríguez-Ferrán, O.; Aparicio-Sarmiento, A.; Cejudo, A.; Andújar, P.; Sainz De Baranda, P. Classification System of the Sagittal Integral Morphotype in Children from the ISQUIOS Programme (Spain). Int. J. Environ. Res. Public Health 2020, 17, 2467. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Hopkins, W.; Marshall, S.; Batterham, A.; Hanin, J. Progressive Statistics for Studies in Sports Medicine and Exercise Science. Med. Sci. Sports Exerc. 2009, 41, 3–12. [Google Scholar] [CrossRef] [Green Version]
  71. Lee, D. Alternatives to P value: Confidence interval and effect size. Korean J. Anesthesiol. 2016, 69, 555. [Google Scholar] [CrossRef] [Green Version]
  72. Raftry, S.M.; Marshall, P.W.M. Does a ‘tight’ hamstring predict low back pain reporting during prolonged standing? J. Electromyogr. Kinesiol. 2012, 22, 407–411. [Google Scholar] [CrossRef] [PubMed]
  73. Cejudo, A.; Robles-Palazón, F.; Sainz De Baranda, P. Fútbol sala de élite: Diferencias de flexibilidad según sexo. E-Balonmano.Com Rev. Cienc. Deporte 2019, 15, 37–48. [Google Scholar]
  74. Nyland, J.; Kocabey, Y.; Caborn, D. Sex Differences in Perceived Importance of Hamstring Stretching among High School Athletes. Percept. Mot. Ski. 2016, 99, 3–11. [Google Scholar] [CrossRef]
  75. Krivickas, L.; Feinberg, J. Lower extremity injuries in college athletes: Relation between ligamentous laxity and lower extremity muscle tightness. Arch. Phys. Med. Rehabil. 1996, 77, 1139–1143. [Google Scholar] [CrossRef]
  76. Pereira, A.; Teixeira, C.; Pereira, K.; Ferreira, L.; Marques, M.; Silva, A. Neural Mobilization Short-Term Dose Effect on the Lower-Limb Flexibility and Performance in Basketball Athletes: A Randomized, Parallel, and Single-Blinded Study. J. Sport Rehabil. 2021, 1, 1–7. [Google Scholar] [CrossRef]
  77. Hewett, T. Neuromuscular and Hormonal Factors Associated with Knee Injuries in Female Athletes. Sports Med. 2000, 29, 313–327. [Google Scholar] [CrossRef]
  78. Bale, P.; Mayhe, J.; Piper, F.; Ball, T. Biological and performance variables in relation to age. J. Sports Med. Phys. Fit. 1992, 32, 142–148. [Google Scholar]
  79. Blackburn, J.; Riemann, B.; Padua, D.; Guskiewicz, K. Sex comparison of extensibility, passive, and active stiffness of the knee flexors. Clin. Biomech. 2004, 19, 36–43. [Google Scholar] [CrossRef]
  80. Granata, K.; Wilson, S.; Padua, D. Gender differences in active musculoskeletal stiffness. Part I: Quantification in controlled measurements of knee joint dynamics. J. Electromyogr. Kinesiol. 2002, 12, 119–126. [Google Scholar] [CrossRef]
  81. McPherson, A.; Nagai, T.; Schilaty, N.; Hale, R.; Hewett, T.; Bates, N. High school male basketball athletes exhibit greater hamstring muscle stiffness than females as assessed with shear wave elastography. Skelet. Radiol. 2020, 49, 1231–1237. [Google Scholar] [CrossRef] [PubMed]
  82. Smith, L.; Lelas, J.; Kerrigan, D. Gender differences in pelvic motions and center of mass displacement during walking: Stereotypes quantified. J. Womens Health 2002, 11, 453–458. [Google Scholar] [CrossRef] [PubMed]
  83. Thomas, J.; Corcos, D.; Hasan, Z. The Influence of Gender on Spine, Hip, Knee, and Ankle Motions During a Reaching Task. J. Mot. Behav. 2010, 30, 98–103. [Google Scholar] [CrossRef]
  84. Jorgensen, M.; Marras, W.; Granata, K.; Wiand, J. MRI-derived moment-arms of the female and male spine loading muscles. Clin. Biomech. 2001, 16, 182–193. [Google Scholar] [CrossRef]
  85. Marras, W.; Jorgensen, M.; Granata, K.; Wiand, B. Female and male trunk geometry: Size and prediction of the spine loading trunk muscles derived from MRI. Clin. Biomech. 2001, 16, 38–46. [Google Scholar] [CrossRef]
  86. Di Santo, M. Amplitud de Movimiento; Paidotribo: Barcelona, Spain, 2018. [Google Scholar]
  87. McClure, P.; Esola, M.; Schreier, R.; Siegler, S. Kinematic analysis of lumbar and hip motion while rising from a forward, flexed position in patients with and without a history of low back pain. Spine 1997, 22, 552–558. [Google Scholar] [CrossRef]
  88. Harris-Hayes, M.; Sahrmann, S.; Van Dillen, L. Relationship between the hip and low back pain in athletes who participate in rotation-related sports. J. Sport Rehabil. 2009, 18, 60. [Google Scholar] [CrossRef] [Green Version]
  89. Laird, R.; Gilbert, J.; Kent, P.; Keating, J. Comparing lumbo-pelvic kinematics in people with and without back pain: A systematic review and meta-analysis. BMC Musculoskelet. Disord. 2014, 15, 229. [Google Scholar] [CrossRef]
  90. Toppenberg, R.; Bullock, M. The interrelation of spinal curves, pelvic tilt and muscle lengths in the adolescent female. Aust. J. Physiother. 1986, 32, 6–12. [Google Scholar] [CrossRef] [Green Version]
  91. Link, C.; Nicholson, G.; Shaddeau, S.; Birch, R. Lumbar curvature in standing and sitting in two types of chairs: Relationship of hamstring and hip flexor muscle length. Phys. Ther. 1990, 70, 611–618. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Rodríguez-García, P.; López-Miñarro, P.; Yuste, J.; Sáinz de Baranda, P. Comparison of hamstring criterion-related validity, sagittal spinal curvatures, pelvic tilt and score between sit-and-reach and toe-touch tests in athletes. Med. Dello Sport 2008, 61, 11–20. [Google Scholar]
  93. López-Miñarro, P.; Muyor, J.; Alacid, F. Influence of hamstring extensibility on sagittal spinal curvatures and pelvic tilt in highly trained young kayakers. Eur. J. Sport Sci. 2012, 12, 469–474. [Google Scholar] [CrossRef]
  94. Stutchfield, B.; Coleman, S. The relationships between hamstring flexibility, lumbar flexion, and low back pain in rowers. Eur. J. Sport Sci. 2006, 6, 255–260. [Google Scholar] [CrossRef]
  95. Muyor, J.; Alacid, F.; Rodríguez-García, P.; López-Miñarro, P. Influence of hamstring extensibility on sagittal spinal curvatures and pelvic inclination in athletes. Int. J. Morphol. 2012, 30, 176–181. [Google Scholar] [CrossRef] [Green Version]
  96. Haladay, D.; Miller, S.; Challis, J. Quality of systematic reviews on specific spinal stabilization exercise for chronic low back pain. J. Orthop. Sports Phys. Ther. 2013, 242, 242–250. [Google Scholar] [CrossRef]
  97. Dreischarf, M.; Shirazi-Adl, A.; Arjmand, N. Estimation of loads on human lumbar spine: A review of in vivo and computational model studies. J. Biomech. 2016, 49, 833–845. [Google Scholar] [CrossRef] [PubMed]
  98. Nachemson, A. Disc pressure measurements. Spine 1981, 6, 93–97. [Google Scholar] [CrossRef] [PubMed]
  99. Wilke, H.; Neef, P.; Caimi, M.; Hoogland, T.; Claes, L. New In Vivo Measurements of Pressures in the Intervertebral Disc in Daily Life. Spine 1999, 24, 755–762. [Google Scholar] [CrossRef] [PubMed]
  100. Cunningham, B.; Kotani, Y.; McNulty, P.; Cappuccino, A. The effect of spinal destabilization and instrumentation on lumbar intradiscal pressure: An in vitro biomechanical analysis. Spine 1997, 22, 2655–2663. [Google Scholar] [CrossRef]
  101. Hori, M.; Hasegawa, H.; Takasaki, H. Comparisons of hamstring flexibility between individuals with and without low back pain: Systematic review with meta-analysis. Physiother. Theory Pract. 2019, 37, 559–582. [Google Scholar] [CrossRef]
  102. Radwan, A.; Bigney, K.; Buonomo, H.; Jarmak, M.; Moats, S.; Ross, J.; Tatarevic, E.; Tomko, M. Evaluation of intra-subject difference in hamstring flexibility in patients with low back pain: An exploratory study. J. Back Musculoskelet. Rehabil. 2015, 28, 61–66. [Google Scholar] [CrossRef]
  103. Nadler, S.; Malanga, G.; Bartoli, L.; Feinberg, J.; Prybicien, M.; Deprince, M. Hip muscle imbalance and low back pain in athletes: Influence of core strengthening. Med. Sci. Sports Exerc. 2002, 34, 9–16. [Google Scholar] [CrossRef] [Green Version]
  104. Reis, F.; Macedo, A. Influence of hamstring tightness in pelvic, lumbar and trunk range of motion in low back pain and asymptomatic volunteers during forward bending. Asian Spine J. 2015, 9, 535–540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Assessment of hamstring extensibility (HE) and sagittal pelvic tilt.
Figure 1. Assessment of hamstring extensibility (HE) and sagittal pelvic tilt.
Ijerph 18 08654 g001
Figure 2. Assessment of sagittal thoracic and lumbar curves.
Figure 2. Assessment of sagittal thoracic and lumbar curves.
Ijerph 18 08654 g002
Figure 3. Decision tree analysis of the variables measured in male (a) and female (b) soccer and basketball players. The cutoff values for male and females were 71° and 75°, respectively.
Figure 3. Decision tree analysis of the variables measured in male (a) and female (b) soccer and basketball players. The cutoff values for male and females were 71° and 75°, respectively.
Ijerph 18 08654 g003
Table 1. Data related to hamstring extensibility, sagittal pelvic position, and sagittal spinal curves in soccer and basketball players according to gender.
Table 1. Data related to hamstring extensibility, sagittal pelvic position, and sagittal spinal curves in soccer and basketball players according to gender.
Variables (Degrees)Male
(n = 61)
Female
(n = 33)
p-ValueEffect Size Hedge’s gTotal 1
(n = 94)
HF-KE70.71 ± 12.1682.67 ± 12.840.000Moderate (g = −0.95)74.91 ± 13.16 *
Pelvic positionLH-SSP103.43 ± 7.8995.45 ± 9.170.000Moderate (g = 0.94)100.63 ± 9.15 *
LH-MTFP100.26 ± 13.4486.64 ± 15.700.000Moderate (g = 0.94)95.48 ± 15.62 *
Thoracic curveRSP49.23 ± 8.1544.94 ± 10.090.052Small (g = 0.47)47.72 ± 9.07
SSP51.92 ± 9.4844.55 ± 9.760.001Moderate (g = 0.76)49.33 ± 10.16 *
MTFP73.25 ± 9.8768.97 ± 9.900.061Small (g = 0.42)71.74 ± 10.04
Lumbar curveRSP−32.51 ± 7.27−43.33 ± 8.240.000Large (g = −1.40)36.30 ± 9.20 *
SSP9.79 ± 8.091.55 ± 11.010.000Moderate (g = 0.88)6.89 ± 9.98 *
MTFP17.49 ± 6.6212.94 ± 9.430.018Small (g = 0.58)15.89 ± 7.98
1 Total: mean ± standard deviation male and female; * Significant differences and moderate or larger effect sizes in the variables measured according to gender; HF-KE: Hip flexion with the knee extended range of motion; RSP: relaxed standing position; SSP: slump sitting position; MTFP: maximum trunk forward flexion position; LH-SSP: lumbosacral angle in slump sitting position; LH- MTFP: lumbosacral angle in maximum trunk forward flexion position.
Table 2. Comparative analysis between low (n = 27) and high (n = 34) hamstring extensibility groups on sagittal pelvis position and spinal curve in male in soccer and basketball players.
Table 2. Comparative analysis between low (n = 27) and high (n = 34) hamstring extensibility groups on sagittal pelvis position and spinal curve in male in soccer and basketball players.
Variables (Degrees) Low-HE (<71°)High-HE (≥71°)p-ValueEffect Size Hedge’s g
HF-KE60.96 ± 7.4778.46 ± 9.230.000Very large (g = −2.03) *
Pelvic positionLH-SSP105.44 ± 6.05101.82 ± 8.850.153Small (g = 0.46)
LH-MTFP110.81 ± 7.8091.88 ± 10.810.000Large (g = 1.94) *
Thoracic curveRSP49.00 ± 8.3749.41 ± 8.100.615Trivial (g = −0.04)
SSP52.93 ± 10.0551.12 ± 9.070.448Trivial (g = 0.18)
MTFP75.07 ± 10.6871.79 ± 9.070.107Trivial (g = 0.33)
Lumbar curveRSP−31.52 ± 8.86−33.26 ± 5.740.211Trivial (g = −0.23)
SSP11.37 ± 6.458.53 ± 9.080.186Trivial (g = 0.34)
MTFP18.41 ± 6.1216.76 ± 6.990.718Trivial (g = 0.24)
* Significant differences and moderate or greater effect size in the variables measured according to the classification of hamstring extensibility. Low-HE: Low hamstring extensibility; High-HE: High hamstring extensibility; HF-KE: Hip flexion with the knee extended range of motion; RSP: relaxed standing position; SSP: slump sitting position; MTFP: maximum trunk forward flexion position; LH-SSP: lumbosacral angle in slump sitting position; LH-MTFP: lumbosacral angle in maximum trunk forward flexion position.
Table 3. Comparative analysis between low (n = 8) and high (n = 27) hamstring extensibility groups on sagittal pelvis position and spinal curve in female soccer and basketball players.
Table 3. Comparative analysis between low (n = 8) and high (n = 27) hamstring extensibility groups on sagittal pelvis position and spinal curve in female soccer and basketball players.
Variables (Degrees)Low-HE (<75°)High-HE (≥75°)p-ValueEffect Size Hedge’s g
HF-KE61.50–4.8087.37–8.500.000Very large (d = −3.74) *
Pelvic positionLH-SSP98.17–7.8194.85–9.470.508Small (d = 0.35)
LH-MTFP110.33–7.0081.37–11.650.000Very large (d = 2.62) *
Thoracic curveRSP45.83–9.9744.77–10.300.838Trivial (d = 0.10)
SSP49.33–9.4443.48–9.670.205Moderate (d = 0.60)
MTFP74.33–8.3367.78–9.960.145Moderate (d = 0.66)
Lumbar curveRSP−46.33–11.48−42.67–7.460.424Small (d = 0.41)
SSP0.01–16.831.89–9.700.946Trivial (d = 0.15)
MTFP6.00–15.0714.48–7.230.158Moderate (d = −0.86)
* Significant differences and moderate or greater effect size in the variables measured according to the classification of hamstring extensibility. Low-HE: Low hamstring extensibility; High-HE: High hamstring extensibility; HF-KE: Hip flexion with the knee extended; RSP: relaxed standing position; SSP: slump sitting position; MTFP: maximum trunk forward flexion position; LH-SSP: lumbosacral angle in slump sitting position; LH- MTFP: lumbosacral angle in maximum trunk forward flexion position.
Table 4. Variables associated (expected frequency greater than 5) with high or low hamstring extensibility in male soccer and basketball players.
Table 4. Variables associated (expected frequency greater than 5) with high or low hamstring extensibility in male soccer and basketball players.
Variables Low-HE
(≤71°)
High-HE (>71°)Chi-Squared Test (ꭕ2)p-ValueCramér’s VGuttman’s Lambda
LH-SSP *Normal 3 (16.7%)15 (83.3%)7.8820.005Moderate 0.359Weak
0.185
Restricted24 (55.8%)19 (44.2%)
LH-MTFP *Normal 3 (10%)27 (90%)28.0890.000Strong 0.679Strong
0.630
Restricted24 (77.4%)7 (22.6%)
Lumbar curve *Normal15 (34.9%)28 (65.1%)5.1950.023Moderate 0.2920.222
Weak
Spinal misalignment12 (66.7%)6 (33.3%)
LBP *LBP-free14 (32.6%)29 (67.4%)8.0910.004Moderate 0.3640.296
Weak
Recurrent LBP 13 (72.2%)5 (27.8%)
* Variables significantly associated with high or low hamstring extensibility; Low-HE: Low hamstring extensibility; High-HE: High hamstring extensibility; LH-SSP: lumbosacral angle in slump sitting position; LH-MTFP: lumbosacral angle in maximum trunk forward flexion position.
Table 5. Variables associated (expected frequency greater than 5) with high or low hamstring extensibility in female soccer and basketball players.
Table 5. Variables associated (expected frequency greater than 5) with high or low hamstring extensibility in female soccer and basketball players.
VariablesLow-HE (≤75°)High-HE (>75°)Chi-Squared Test (ꭕ2)p-ValueCramér’s VGuttman’s Lambda
LH-MTFP *Normal 0 (0%)25 (100%)22.9170.000Strong 0.667Strong
0.833
Restricted6 (75%)2 (25%)
Lumbar curve *Normal0 (0%)14 (100%)5.4040.020Relatively strong 0.4050.000
Weak
Spinal misalignment8 (42.1%)11 (57.9%)
* Variables significantly associated with high or low hamstring extensibility; Low-HE: low hamstring extensibility; High-HE: high hamstring extensibility; LH-MTFP: lumbosacral angle in maximum trunk forward flexion position.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Cejudo, A.; Centenera-Centenera, J.M.; Santonja-Medina, F. The Potential Role of Hamstring Extensibility on Sagittal Pelvic Tilt, Sagittal Spinal Curves and Recurrent Low Back Pain in Team Sports Players: A Gender Perspective Analysis. Int. J. Environ. Res. Public Health 2021, 18, 8654. https://doi.org/10.3390/ijerph18168654

AMA Style

Cejudo A, Centenera-Centenera JM, Santonja-Medina F. The Potential Role of Hamstring Extensibility on Sagittal Pelvic Tilt, Sagittal Spinal Curves and Recurrent Low Back Pain in Team Sports Players: A Gender Perspective Analysis. International Journal of Environmental Research and Public Health. 2021; 18(16):8654. https://doi.org/10.3390/ijerph18168654

Chicago/Turabian Style

Cejudo, Antonio, Josep María Centenera-Centenera, and Fernando Santonja-Medina. 2021. "The Potential Role of Hamstring Extensibility on Sagittal Pelvic Tilt, Sagittal Spinal Curves and Recurrent Low Back Pain in Team Sports Players: A Gender Perspective Analysis" International Journal of Environmental Research and Public Health 18, no. 16: 8654. https://doi.org/10.3390/ijerph18168654

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop -