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Rajabi, Plandowska, and Bayattork: Normative values of non-radiological surface measurement of the lumbar lordosis curvature in the standing position and its association with age, sex, and body mass index: a cross-sectional study of 2,500 healthy individuals from Iran

Abstract

Study Design

A cross-sectional study.

Purpose

This study aimed to define the normal values of the lumbar lordosis curve (LLC) and investigate its association with sex, age, and body mass index (BMI).

Overview of Literature

The importance of the human spine’s sagittal alignment, particularly in the lumbar region, has been argued from the physiological and pathophysiological points of view. The LLC size is an important predictor of lumbar pathologies. Lumbar curvature misalignment, particularly increased lumbar lordosis or hypolordosis, can, in the long term, lead to spinal instability and development of disorders such as low back pain and spondylolisthesis Therefore, knowledge about the normal LLC value and its association with age, sex, and BMI, appears crucial.

Methods

The study recruited 2,497 asymptomatic volunteers (1,264 women and 1,233 men) aged 5–85 years. Participants were assigned to different groups based on their sex, age, and BMI. The LLC was measured using a Flexicurve.

Results

Normal LLC values were established for different sexes, age, and BMI groups. Overall, normal LLC ranges from 10.2° to 74.9° with a mean of 42.34°±13° (male, 38.57°±11.44°; female, 46°±13.38°). LLC was generally higher by 7.5° in women than in men. A significant three-way interaction of sex, age, and BMI with LLC was found. The association of age and BMI with LLC was also significant.

Conclusions

Our results can be used as a reference by physicians, healthcare, etc., when the LLC values in different ages and sexes are measured noninvasively. In other words, this information can be used as reference when determining whether the obtained LLC is within the normal range.

Introduction

The importance of the human spine’s sagittal alignment, particularly in the lumbar region, has been argued from the physiological and pathophysiological points of view [1]. Lumbar curvature misalignment, particularly increased lumbar lordosis (LL) or hypolordosis, can, in the long term, lead to spinal instability and development of disorders such as low back pain and spondylolisthesis [2]. In this regard, some researchers examined the lumbar lordosis curvature (LLC), and some studies have evaluated the morphology and orientation of LL in asymptomatic individuals [3,4]. Moreover, some authors have raised the effect of LL morphology and its upper and lower segments on each other [5], resulting in some compensatory mechanisms and changes in the alignment of the upper or lower limb through a kinetic chain [6]. Therefore, explicit knowledge of the normal LLC values is important to better understand abnormal LL alignment or hyperkyphotic posture that can lead to postural misalignments or spinal disorders.
Previous studies have established mean values and dispersion of the spine’s lumbar curve and stressed that these anthropometrical parameters vary because of human diversity [3,710]. In addition, this diversity is possibly caused by the difference in the number of subjects, sex, and age diversity in these studies [3,7]. The inclusion of participants in different sex and age groups often results in a relatively low number of volunteers; therefore, the data related to the degree of lumbar curvature in these studies could be skewed by outliers because of limitations in their subject recruitment.
To the best of our knowledge, no large-scale study has analyzed a full range of ages in both sexes. In addition, various invasive and noninvasive techniques and tools have been used to evaluate the LLC. This diversity in methods could result in discrepancies among previous studies, causing confusion about what constitutes normal LL [11]. Most studies have assessed the LLC using invasive devices such as radiological methods [12,13], and their results could not be generalized to those measuring LLC using noninvasive tools. Nonetheless, this method is not ideal for studies with large samples because of the high cost and participants’ exposure to ionizing radiation. Thus, given ethical issues in using X-rays and the fact that X-rays are mainly indicated for severe abnormalities or structural abnormalities, the results cannot be comparable with those obtained using noninvasive devices, which mainly are applied to measure nonstructural or positional abnormalities. Accordingly, the use of a low-cost, valid, and reliable noninvasive tool such as Flexicurve (KF60; Shanghai Kearing Stationary Co. Ltd., Shanghai, China) is encouraged [14].
Measuring the LLC in a standing position is challenging. Given the importance of the lumbar region in establishing an acceptable LLC value, assessing it in a larger population and different age groups in both sexes is necessary. However, the use of a safe and valid measurement tool to establish the LLC norm may be used as a reference for further studies, physicians, and healthcare professionals and for comparison and evaluation whether their measurements were with the normal range.
The primary aim of this study was to establish normal LLC values measured by Flexicurve and investigate the association of sex, age, and body mass index (BMI) with LLC in the Iranian population aged 5–85 years. The secondary aim was to compare the LLC values between different age, sex, and BMI groups to understand the possible association of these variables with the LLC. We hypothesize that a significant difference in the LLC exists between the different sex, age, and BMI groups.

Materials and Methods

This study was based on the results of a cross-sectional study of asymptomatic volunteers from Iran. All participants provided informed consent to participate in the study. This study was conducted in compliance with the principles of the Declaration of Helsinki and was approved by the Sports Sciences Research Institute of Iran.

Participants

The study recruited 2,497 asymptomatic volunteers (1,264 women and 1,233 men) from five provinces located at the center, north, south, east, and west of Iran. Participants were recruited through advertisements in fitness centers, schools, workplaces, elderly home care, and so forth. The inclusion criteria were as follows: age >5 years, no history of spinal pathology or deformity, and absence of pelvic or lower limb disorders. The exclusion criteria were as follows: presence of pathologic deformities, bone tumors, history of back pain in the past 12 months, history of surgery and fracture, pelvic and lower limb pathology, spinal column infection, and congenital malformation, and age <5 years and >85 years.
Participants were divided into eight groups based on their age: <10 (n=155), 10s (n=734), 20s (n=351), 30s (n=202), 40s (n=356), 50s (n=171), 60s (n=297), and >70 (n=231), among which no significant differences were found between the two sexes. Adult participants were also categorized into four groups including underweight (BMI <20.0 kg/m2), normal (BMI of 20.0–24.9 kg/m2), overweight (BMI of 25.0–29.9 kg/m2), and obesity (BMI ≥30.0 kg/m2), according to the international BMI definition [15]. Moreover, BMI-for-age percentiles were calculated for children and adolescents according to the following classification: underweight (BMI ≤5th percentile), normal (5th percentile≤ BMI ≤85th percentile), overweight (85th percentile≤ BMI ≤95th percentile), and obesity (BMI ≥95th percentile) [16].

Assessment of lumbar lordosis curvature

The LLC measurements were performed using a Flexicurve tool and a well-established technique [3,14,17,18]. The validity and reliability of this tool and method have been reported in previous studies [14,17]. The measurement protocol of Flexicurve was based on the one described by Youdas et al. [19] in which the spinous processes of T12–S2 were used to measure the degree of lumbar curvature.
Two individuals measured LLC in men and women in each province (five men and five women). All 10 evaluators had at least 5 years of experience using Flexicurve to measure LLC. They participated in a full-day instructional session to standardize the measurement procedure and protocols at the corrective exercise laboratory at the Faculty of Physical Education and Sport Sciences at the University of Tehran. Then, the inter- and intraobserver correlations of their LLC measurements were calculated, giving intraclass correlation coefficients of 0.91 (0.86–1.00) and 0.94 (0.89–1.00), respectively.

Statistical analysis

Statistical procedures were performed using IBM SPSS Statistics for Windows ver. 20.0 (IBM Corp., Armonk, NY, USA). The significance level was set at p<0.05, and all variables were reported using descriptive statistics (mean and standard deviation) for men and women. The Kolmogorov-Smirnov test was used to assess data normality. A three-way analysis of variance (ANOVA) was used to examine the main effects of two levels of sex (male or female), eight levels of 10-year increments, and four levels of BMI on LLC. Pearson and Spearman’s correlation analyses assessed the relationships between the LLC and age, sex, and BMI. Significant correlation coefficients were considered clinically large if >0.5, moderate if >0.3, and small if >0.1, according to Cohen. The means of LLC in the present study were also compared with others using ANOVA. The significance level was set at p<0.05.

Results

Table 1 presents the demographic characteristics of the participants. A significant three-way interaction was found between sex, age, and BMI (F(2, 20)=2.944, p=0.0001). Therefore, a two-way ANOVA was performed to examine the effect of sex and age groups on LLC (Table 2). A significant interaction was found between the effects of sex and age groups on LLC (F(2,7)=3.908, p=0.0001). Simple main effect analysis showed that female LLC was significantly higher than male LLC by approximately 7.5° across the eight age groups. However, no difference was found between sexes in participants aged <10 years (Table 2, Fig. 1A). Age was found to be associated with LLC (F=19.557, p=0.0001). However, this association was significant only in children (aged <10 years) and older people (age >70 years) compared with other age groups (Fig. 1A). Moreover, age-related trends in LLC were illustrated in the present study and others for men (Fig. 1B) and women (Fig. 1C) separately.
Simple main effects analysis for BMI showed that people with obesity had significantly higher LLC than people with normal BMI when they were categorized into adolescent and adult groups (p<0.05); however, no differences were found between BMI groups of younger participants (p=0.875) (Fig. 2). Moreover, sex, age, and BMI showed significant association with LLC, particularly moderate (r=0.31, p=0.001) and small (r=0.13, p=0.001), (r=0.2, p=0.001), respectively.

Discussion

This study revealed that the normal LLC ranges from 10.2° to 74.9° with a mean of 42.34°±13° for the whole Iranian population, 38.57°±11.44° for the male population, and 46°±13.38° for the female population. This study showed a constant increase in LLC with increasing age up to approximately 60 years with sex differences, with women having higher LLC than men. However, from this point, the LLC starts to decrease gradually, and these values in men decrease to the value at the age of 5. The female LLC starts to decrease at the age of 60; however, values are still higher than male LLC. As a whole, a small significant correlation was found between age and LLC, which agrees with previous results [3,17].
Our finding also agrees with the results of other studies using radiographic methods to measure lumbosacral lordosis in boys and girls aged 5–20 years [20] and men and women aged 20–29 years [21]. However, decreases were observed in isolated groups, e.g., aged 40–49 years. This was interpreted as a casual occurrence.
Despite general agreement between our findings with previously reported values of LLC [79,22], LLC values varied in some investigators. These variations and differences in LLC between studies are due to the diversity in age range, measurement methods or tools, sample size, and BMI [3,710,2336] (Tables 35, Fig. 3). Nevertheless, our finding can be compared favorably with the results of two similar studies that measured LLC using similar measuring methods and tools [3,37]. Our LLC values were smaller than those reported by Youdas et al. [3]; however, the difference was not considerable. Moreover, Link et al. [37] used a flexible ruler and reported a mean value of 34.41°±9.85° in 61 English men aged 20–30 years, which is lower than our values in this age category (41.06°±12.87°). The reason for these differences between the two studies could be the wide LLC ranges in the study by Link et al. [37] (18.92°–62.96°) compared with our value (38.99°–43.13°). In studies that used surface measurement tools to measure LLC, our values are close to those reported by Norton et al. [23] who used a computerized three-dimensional electromechanical digitizer (Metrecom; FARO Technologies Inc., Lake Mary, FL, USA). On the contrary, LLC values from a study that used Spinal Mouse (IDIAG, Fehraltorf, Switzerland) were lower considerably (male, 17.3°±0.5°; female, 29.6°±0.7°) [8]. Moreover, studies that used radiological devices reported a variety of LLC values measured from the superior endplate of T12/L1 and S1 using the Cobb method. Some of them [7,24] agreed, whereas others [25,26,38] did not approve the values obtained using Flexicurve (Fig. 3).
This study also compared the LLC values between different age, sex, and BMI groups to understand the possible association of these variables with the LLC in the Iranian population. In this study, women had larger LLCs than men by approximately 7.5° across all age groups. In agreement with our results, Youdas et al. [3] reported that men have lower LLC than women by approximately 6.5°. Comparing other studies with surface or radiological measurements, inconsistent results regarding sex effects on LLC were noted, however, in major studies, women showed higher LLC values than men with a difference of 0.2°–12.3°. Despite debates concerning the significant influence of sex on LLC, a recent systematic review and meta-analysis showed convincing evidence for the sex differences in LLC, indicating that women have larger LLC, possibly because of the greater sacral slope, than men [11]. Moreover, the greater LLC for women could be due to differences in the vertebral shapes and the anatomical and functional capacity differences that could affect biomechanical factors in the standing position [9].
In addition, to sex, age was also a conflicting variable that could affect the LLC. The difference in LLC between age groups was significant in this study. Significant differences in LLC were found between children (age <10 years) and older people (age >70 years) with other age groups (middle-aged group). The LLC values for the youngest and oldest groups were significantly lower than the others (middle-aged groups). This may depend on the orientation of the pelvis, lumbosacral joint, and sacrum with increasing age [39]. In addition, the intervertebral disk may flatten, particularly in the middle lumbar segments, because of degenerative processes and might reduce the LLC in the old age [11]. These age-related decreases in LLC in older adults could have been associated with recruiting compensation mechanisms in the lower limb (e.g., increased knee flexion angle) to maintain the sagittal global balance [40]. However, the actual effect of age might not be clearly defined until a longitudinal study is completed. Compared with studies investigating the LLC in 10-year increments of age, the age-related trends for LLC in the present study were very similar to that in the study by Youdas et al. [3], particularly for women [3,30,33,40] (Fig. 1). The main reason might be the use of a similar tool (Flexicurve) to measure LLC in both studies.
Regarding the BMI, adolescents and adults with obesity had significantly higher LLC than those with normal BMI; in contrast, these variables were not significantly different among children. Fig. 2 illustrates that the mean LLC was higher in normal and obese groups. This is in agreement with a small positive correlation between BMI and LLC in this study. However, contradictory results have been reported with either positive or negative correlations between BMI and LLC. As mentioned before, these contradictory results in the literature might be due to the dissimilarity in measurement techniques and tools, subjects, sex, and age diversity.
A limitation of this study is its cross-sectional design. Because the study involved a one-time measurement of exposure and outcome, causal relationships could not be derived from the data analysis. In addition, while the Flexicurve technique is reliable, it cannot be used to treat pathological conditions. The results of this study can only be compared with other studies that employed the same patient positioning and measurement tools. Furthermore, this study was conducted on a specific population, so the findings may not be generalizable to other countries or ethnicities.
However, the cross-sectional design is very useful for establishing normative data for specific or multiple variables at one time across a large population, including different age groups and sexes. A notable strength of this study is the large sample size and broad population coverage. The use of an accurate, simple, and inexpensive tool to measure the variable of interest allowed us to make robust conclusions regarding sex-, age-, and BMI-related trends and values in LLC.

Conclusions

This study showed a significant difference in LLC between different age groups in both sexes. These differences were more obvious in children (age <10 years) and older people (age >70 years) in comparison with other age groups. Therefore, in using our LLC values as normative data, age and sex should be considered particularly when using them as a comparative norm for children and older people of both sexes. In this study, we used a simple, inexpensive, and reliable method and tools to measure and establish normative values for the Iranian normal population aged 5–85 years. The LLC norm established using a safe and valid measurement tool can be a valuable reference when comparing measurements obtained in further studies by physicians and healthcare professionals.

Key Points

  • Normative values: The study established standard lumbar lordosis values in a healthy Iranian population using a non-invasive flexicurve method. The average lumbar lordosis was 42.34°, with women having higher curvature (46°) than men (38.57°).

  • Sex differences: Females had 7.5° more lumbar lordosis than males, but no sex difference was noted in participants under 10 years old.

  • Age and body mass index influence: Lumbar lordosis increased from childhood to middle age and declined in older age. Obesity was linked to higher lordosis, especially in adolescents and adults.

  • Ethnicity impact: The study showed ethnic differences in lumbar lordosis, with the Iranian population differing from American, European, and some Asian populations.

  • Clinical implications: These values are essential for understanding variations in lumbar curvature and developing tailored treatments for spine conditions like low back pain.

Notes

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Funding

This work was supported by the Sport Sciences Research Institute of Iran (grant no., 4503009/1/04).

Author Contributions

RR designed and performed the research; MB analyzed the data and designed the figures; RR and MB wrote the paper; MP provided critical feedback, helped shape the research, and supervised the paper; and all authors read and approved the final manuscript.

Fig. 1
Lumbar lordosis curve (LLC) values among sexes (A), age related trends of LLC for males (B) and females (C).
asj-2024-0317f1.jpg
Fig. 2
Lumbar lordosis curve (LLC) values among participants with different body mass index and different age groups.
asj-2024-0317f2.jpg
Fig. 3
Lumbar lordosis curve (LLC) values for males and females in different nations using different measurement tools.
asj-2024-0317f3.jpg
Table 1
Demographics characteristics
Characteristic Value
Total no. of participants 2,497
Age (yr) 36.19±22.31
Sex
 Men 1,233 (49.4)
 Women 1,264 (50.6)
Height (cm) 162.04±13.04
Weight (kg) 61.50±16.71
Body mass index (kg/m2) 23.03±4.56
Geographic region
 Center 493 (19.7)
 North 487 (19.5)
 South 551 (22.1)
 East 479 (19.2)
 West 487 (19.5)
Workout during leisure
 Yes 818 (32.8)
 No 1,679 (67.2)
Lumbar lordosis curve (°) 42.34±13.00
 Men 38.57±11.44
 Women 46.00±13.38

Values are presented as mean±standard deviation or number (%).

Table 2
Normative LLC values and comparison between sex in all and different age groups
Age groups (yr) No. LLC (°) F p-value
Mean±SD 95% CI
>10 0.632 0.428
 Women 66 35.068±10.3195 32.531–37.605
 Men 89 36.422±10.6137 34.187–38.658
11–19 68.314 0.0001*
 Women 352 43.282±12.4116 41.981–44.583
 Men 382 36.069±11.2317 34.939–37.199
20–29 33.832 0.0001*
 Women 200 48.567±11.2315 47.001–50.133
 Men 151 41.065±12.8712 38.995–43.135
30–39 11.525 0.001*
 Women 95 49.448±13.7130 46.655–52.242
 Men 107 43.336±11.8786 41.059–45.612
40–49 25.602 0.0001*
 Women 166 46.671±11.9203 44.844–48.498
 Men 190 40.612±10.6720 39.085–42.139
50–59 24.454 0.0001*
 Women 109 50.515±13.4728 47.957–53.073
 Men 62 40.824±9.9543 38.296–43.352
60–69 56.201 0.0001*
 Women 150 48.335±13.9107 46.090–50.579
 Men 147 37.949±9.5091 36.399–39.499
<70 17.981 0.0001*
 Women 126 45.170±16.6451 42.235–48.105
 Men 105 36.900±12.1100 34.556–39.244
All 222.156 0.0001*
 Women 1,264 46.009±13.389 45.271–46.748
 Men 1,233 38.571±11.447 37.931–39.211

LLC, lumbar lordosis curve; SD, standard deviation; CI, confidence interval.

* p<0.05 (significant difference between gender in all and different age groups).

Table 3
Comparison of the current study with studies that used surface measurements for LLC on adult participants of varying ethnicities
Study (year) Population No. LLC (°) Age range (yr) Measurement device
All Male Female Sex differences
Current adult (2021) Iranian 1,608 44.2±13.0 40.0±11.4 47.9±13.3 7.9* 20–85 Flexicurve
Youdas et al. [3] (2006) American 235 46.2±11.1 43.00±10.7 49.5±10.7 6.5* 20–75 Flexicurve
Norton et al. [23] (2004) American 60 40.2±14.8 33.7±11.5 45.6±15.2 11.9* 19–73 Metrecom
Lang-Tapia et al. [9] (2011) European 659 22.8±6.1 17.3±0.5 29.6±0.7 12.3* >20 Spinal Mouse
F 576.93 911.81 438.29
p-value 0.0001* 0.0001* 0.0001*
Post-hoc test (Tukey HSD) Current>Norton, Lang-Tapia Current>Norton, Lang-Tapia
Current<Youdas
Current>Lang-Tapia

Values are presented as number, mean±standard deviation, or range unless otherwise stated.

LLC, lumbar lordosis curve; HSD, honest significant difference.

* p<0.05 (significant difference).

Table 4
Comparison of the current study with studies that used radiography measurements for LLC on children and adolescent participants of varying ethnicities
Study (year) Population No. LLC (°) Age range (yr) Measurement device
All Male Female Sex differences
Current (2021) Iranian 889 38.8±12.1 36.1±11.1 41.9±12.4 5.8* 5–19 Flexicurve
Arima et al. [26] (2018) African American 105 58.1±11.6 - - - 11–17 Radiography (Cobb method-L1 to S1)
Hesarikia et al. [27] (2018) Iranian 98 39.6±12.4 36.6±1.6 42.7±1.9 6.1* 8–19 Radiography (Cobb method-L1 to L5)
Mac-Thiong et al. [10] (2007) Caucasian 341 48.0±11.7 46.6±10.8 48.8±12.2 2.2 4–18 Radiography (angles contained by two arcs)
Zhou et al. [28] (2020) Chinese 257 48.7±9.2 49.0±9.6 48.4±8.9 −0.6 3–12 Radiography (Cobb method-L1 to S1)
F 106.36 152.26 41.95
p-value 0.0001* 0.0001* 0.0001*
Post-hoc test (Tukey HSD) Current<Zhou, Arima, Mac-Thiong Current<Zhou, Mac-Thiong Current<Zhou, Mac-Thiong

Values are presented as number, mean±standard deviation, or range unless otherwise stated.

LLC, lumbar lordosis curve; HSD, honest significant difference.

* p<0.05 (significant difference).

Table 5
Comparison of the current study with studies that used radiography measurements for LLC on adult participants of varying ethnicities
Study (year) Population No. LLC (°) Age (yr) Measurement device
All Male Female Sex differences
Current adult (2021) Iranian 1,608 44.2±13.0 40.0±11.4 47.9±13.3 7.9* 20–85 Flexicurve
Lee et al. [8] (2011) Korean 86 52.3±9.1 52.9±9.4 51.3±8.5 −1.6 19–39 Radiography (Cobb method-L1 to S1)
Zhu et al. [7] (2014) Chinese 260 48.2±9.6 43.2±9.2 48.8±8.7 5.6* 20–56 Radiography (Cobb method-L1 to S1)
Singh et al. [29] (2018) Indian 50 58.7±9.5 56.2±9.5 62.3±8.4 6.1* 31.1±9.6 Radiography (Cobb method-L1 to S1)
Arima et al. [26] (2018) African American 141 57.9±12.0 58.0±10.6 57.8±12.8 −0.2 11–53 Radiography (Cobb method-L1 to S1)
Yukawa et al. [30] (2016) Japanese 626 49.7±11.2 47.8±11.6 51.6±11.6 3.8* 20–79 Radiography (Cobb method-12 to S1)
Janssen et al. [25] (2009) European 60 58.5±9.5 58±10.0 59.0±9.2 1.0 20–49 Radiography (Cobb method-L1 to S1)
Yeh et al. [24] (2018) Taiwanese 392 45.6±15.0 43.6±14.0 46.6±16.0 3.0 20–80 Radiography (Cobb method-L1 to S1)
Bakouny et al. [31] (2018) Lebanese 92 61.6±9.2 60.6±7.9 62.8±10.5 2.2 18–28 Radiography (Cobb method-L1 to S1)
Zeng et al. [32] (2018) Chinese Han 85 36.7±11.8 35.1±11.8 38.0±11.8 2.9 21–65 Radiography (Cobb method-12 to S1)
Iyer et al. [33] (2016) North America 115 57.2±13.0 51.6±13.5 59.8±12.0 8.2* 22–78 Radiography (Cobb method-L1 to S1)
Yang et al. [34] (2017) East China 311 47.8±10.6 47.9±11.3 47.6±10.1 −0.3 18–78 Radiography (Cobb method-L1 to S1)
Vialle et al. [35] (2005) French 300 60±10.0 59.2±10.1 62.0±10.0 2.8* 20–70 Radiography (Cobb method-L1 to S1)
Yeganeh et al. [36] (2020) Iranian 70 41.9±14.7 37.8±16.5 46.5±11 8.7* 18–40 Radiography (Cobb method-L1 to L5)
F 67.187 101.088 62.909
p-value 0.001* 0.001* 0.001*

Values are presented as number, mean±standard deviation, or range unless otherwise stated.

LLC, lumbar lordosis curve.

* p<0.05 (significant difference).

References

1. Boulay C, Tardieu C, Hecquet J, et al. Sagittal alignment of spine and pelvis regulated by pelvic incidence: standard values and prediction of lordosis. Eur Spine J 2006;15:415–22.
crossref pmid pmc pdf
2. Sorensen CJ, Norton BJ, Callaghan JP, Hwang CT, Van Dillen LR. Is lumbar lordosis related to low back pain development during prolonged standing? Man Ther 2015;20:553–7.
crossref pmid pmc
3. Youdas JW, Hollman JH, Krause DA. The effects of gender, age, and body mass index on standing lumbar curvature in persons without current low back pain. Physiother Theory Pract 2006;22:229–37.
crossref pmid
4. Was J, Sitarski D, Ewertowska P, Bloda J, Czaprowski D. Using smartphones in the evaluation of spinal curvatures in a sagittal plane. Adv Rehabil 2020;30:29–38.
crossref
5. Misir A, Kizkapan TB, Tas SK, Yildiz KI, Ozcamdalli M, Yetis M. Lumbar spine posture and spinopelvic parameters change in various standing and sitting postures. Eur Spine J 2019;28:1072–81.
crossref pmid pdf
6. Ferrero E, Liabaud B, Challier V, et al. Role of pelvic translation and lower-extremity compensation to maintain gravity line position in spinal deformity. J Neurosurg Spine 2016;24:436–46.
crossref pmid
7. Zhu Z, Xu L, Zhu F, et al. Sagittal alignment of spine and pelvis in asymptomatic adults: norms in Chinese populations. Spine (Phila Pa 1976) 2014;39:E1–6.
pmid
8. Lee CS, Chung SS, Kang KC, Park SJ, Shin SK. Normal patterns of sagittal alignment of the spine in young adults radiological analysis in a Korean population. Spine (Phila Pa 1976) 2011;36:E1648–54.
crossref pmid
9. Lang-Tapia M, Espana-Romero V, Anelo J, Castillo MJ. Differences on spinal curvature in standing position by gender, age and weight status using a noninvasive method. J Appl Biomech 2011;27:143–50.
crossref pmid
10. Mac-Thiong JM, Roussouly P, Berthonnaud E, Guigui P. Age- and sex-related variations in sagittal sacropelvic morphology and balance in asymptomatic adults. Eur Spine J 2011;20(Suppl 5): 572–7.
crossref pmid pmc pdf
11. Arshad R, Pan F, Reitmaier S, Schmidt H. Effect of age and sex on lumbar lordosis and the range of motion: a systematic review and meta-analysis. J Biomech 2019;82:1–19.
crossref pmid
12. Le Huec JC, Hasegawa K. Normative values for the spine shape parameters using 3D standing analysis from a database of 268 asymptomatic Caucasian and Japanese subjects. Eur Spine J 2016;25:3630–7.
crossref pmid pdf
13. Hasegawa K, Okamoto M, Hatsushikano S, Shimoda H, Ono M, Watanabe K. Normative values of spino-pelvic sagittal alignment, balance, age, and health-related quality of life in a cohort of healthy adult subjects. Eur Spine J 2016;25:3675–86.
crossref pmid pdf
14. de Oliveira TS, Candotti CT, La Torre M, et al. Validity and reproducibility of the measurements obtained using the flexicurve instrument to evaluate the angles of thoracic and lumbar curvatures of the spine in the sagittal plane. Rehabil Res Pract 2012;2012:186156.
pmid pmc
15. Obesity: preventing and managing the global epidemic: report of a WHO consultation. World Health Organ Tech Rep Ser 2000 894:i–xii. 1–253.

16. Hosseini M, Ataei N, Aghamohammadi A, Yousefifard M, Taslimi Sh, Ataei F. The relation of body mass index and blood pressure in Iranian children and adolescents aged 7–18 years old. Iran J Public Health 2010;39:126–34.
pmid pmc
17. Youdas JW, Suman VJ, Garrett TR. Reliability of measurements of lumbar spine sagittal mobility obtained with the flexible curve. J Orthop Sports Phys Ther 1995;21:13–20.
crossref pmid
18. Seidi F, Minoonejad H, Youdas JW. Using a spine stabilizer instrument to control postural sway in standing lumbar curvature measurements by flexible curve. J Back Musculoskelet Rehabil 2015;28:311–6.
crossref pmid
19. Youdas JW, Garrett TR, Egan KS, Therneau TM. Lumbar lordosis and pelvic inclination in adults with chronic low back pain. Phys Ther 2000;80:261–75.
crossref pmid pdf
20. Cil A, Yazici M, Uzumcugil A, et al. The evolution of sagittal segmental alignment of the spine during childhood. Spine (Phila Pa 1976) 2005;30:93–100.
crossref pmid
21. Stagnara P, De Mauroy JC, Dran G, et al. Reciprocal angulation of vertebral bodies in a sagittal plane: approach to references for the evaluation of kyphosis and lordosis. Spine (Phila Pa 1976) 1982;7:335–42.
crossref pmid
22. Ferreira EA, Duarte M, Maldonado EP, Bersanetti AA, Marques AP. Quantitative assessment of postural alignment in young adults based on photographs of anterior, posterior, and lateral views. J Manipulative Physiol Ther 2011;34:371–80.
crossref pmid
23. Norton BJ, Sahrmann SA, Van Dillen LR. Differences in measurements of lumbar curvature related to gender and low back pain. J Orthop Sports Phys Ther 2004;34:524–34.
crossref pmid
24. Yeh KT, Lee RP, Chen IH, et al. Are there age- and sex-related differences in spinal sagittal alignment and balance among Taiwanese asymptomatic adults? Clin Orthop Relat Res 2018;476:1010–7.
pmid pmc
25. Janssen MM, Drevelle X, Humbert L, Skalli W, Castelein RM. Differences in male and female spino-pelvic alignment in asymptomatic young adults: a three-dimensional analysis using upright low-dose digital biplanar X-rays. Spine (Phila Pa 1976) 2009;34:E826–32.
pmid
26. Arima H, Dimar JR 2nd, Glassman SD, et al. Differences in lumbar and pelvic parameters among African American, Caucasian and Asian populations. Eur Spine J 2018;27:2990–8.
crossref pmid pdf
27. Hesarikia H, Rahimnia A, Emami Meybodi MK. Differences between male and female sagittal spinopelvic parameters and alignment in asymptomatic pediatric and young adults. Minerva Ortop Traumatol 2018;69:44–8.
crossref
28. Zhou XY, Zhao J, Li B, et al. Assessment of sagittal spinopelvic balance in a population of normal Chinese children. Spine (Phila Pa 1976) 2020;45:E787–91.
crossref pmid
29. Singh R, Yadav SK, Sood S, Yadav RK, Rohilla R. Spino-pelvic radiological parameters in normal Indian population. SICOT J 2018;4:14.
crossref pmid pmc
30. Yukawa Y, Kato F, Suda K, Yamagata M, Ueta T, Yoshida M. Normative data for parameters of sagittal spinal alignment in healthy subjects: an analysis of gender specific differences and changes with aging in 626 asymptomatic individuals. Eur Spine J 2018;27:426–32.
crossref pdf
31. Bakouny Z, Assi A, Yared F, et al. Normative spino-pelvic sagittal alignment of Lebanese asymptomatic adults: comparisons with different ethnicities. Orthop Traumatol Surg Res 2018;104:557–64.
crossref pmid
32. Zeng Z, Hai Y, Bi Y, Wang B, Liu M, Liu Y. Characteristics of sagittal spinopelvic alignment in asymptomatic Han Chinese adults. Exp Ther Med 2018;16:4107–13.
crossref pmid pmc
33. Iyer S, Lenke LG, Nemani VM, et al. Variations in sagittal alignment parameters based on age: a prospective study of asymptomatic volunteers using full-body radiographs. Spine (Phila Pa 1976) 2016;41:1826–36.
pmid
34. Yang M, Yang C, Zhai X, Zhao J, Zhu X, Li M. Analysis of factors associated with sagittal balance in normal asymptomatic individuals: a retrospective study in a population of East China. Spine (Phila Pa 1976) 2017;42:E219–25.
pmid
35. 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 Joint Surg Am 2005;87:260–7.
crossref pmid
36. Yeganeh A, Moghtadaei M, Ameri Mahabadi E, Mahdavi SM, Pirani A, Safdari F. Sagittal spinopelvic alignment in asymptomatic iranian adults aged 18 to 40 years. Arch Iran Med 2020;23:391–6.
crossref pmid pdf
37. Link CS, Nicholson GG, Shaddeau SA, Birch R, Gossman MR. Lumbar curvature in standing and sitting in two types of chairs: relationship of hamstring and hip flexor muscle length. Phys Ther 1990;70:611–8.
crossref pmid
38. Zarate-Kalfopulos B, Romero-Vargas S, Otero-Camara E, Correa VC, Reyes-Sanchez A. Differences in pelvic parameters among Mexican, Caucasian, and Asian populations. J Neurosurg Spine 2012;16:516–9.
crossref pmid
39. Roussouly P, Gollogly S, Berthonnaud E, Dimnet J. Classification of the normal variation in the sagittal alignment of the human lumbar spine and pelvis in the standing position. Spine (Phila Pa 1976) 2005;30:346–53.
crossref pmid
40. Hu Z, Man GC, Yeung KH, et al. 2020 Young Investigator Award Winner: age- and sex-related normative value of whole-body sagittal alignment based on 584 asymptomatic Chinese adult population from age 20 to 89. Spine (Phila Pa 1976) 2020;45:79–87.
crossref pmid
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