Skip to main content
Download PDF

The associations between body and knee height measurements and knee joint structure in an asymptomatic cohort

BMC Musculoskeletal Disorders volume 13, Article number: 19 (2012) Cite this article

Abstract

Background

It has been suggested that knee height is a determinant of knee joint load. Nonetheless, no study has directly examined the relationship between anthropometric measures of height and knee joint structures, such as cartilage.

Methods

89 asymptomatic community-based adults aged 25-62 with no diagnosed history of knee arthropathy were recruited. Anthropometric data (knee height and body height) were obtained by standard protocol, while tibial cartilage volume and defects, as well as bone area were determined from magnetic resonance imaging. Static knee alignment was measured from the joint radiograph.

Results

All anthropometric height measures were associated with increasing compartmental tibial bone area (p ≤ 0.05). Although knee height was associated with tibial cartilage volume (e.g. β = 27 mm3 95% CI 7- 48; p = 0.009 for the medial compartment), these relationship no longer remained significant when knee height as a percentage of body height was analysed. Knee height as a percentage of body height was associated with a reduced risk of medial tibial cartilage defects (odds ratio 0.6; 95% confidence interval 0.4 - 1.0; p = 0.05).

Conclusion

The association between increased anthropometric height measures and increased tibial bone area may reflect inherently larger bony structures. However the beneficial associations demonstrated with cartilage morphology suggest that an increased knee height may confer a beneficial biomechanical environment to the chondrocyte of asymptomatic adults.

Peer Review reports

Background

A novel and interesting measurement that may be related to knee joint structure is knee height. Although yet to be formally examined, the rationale for knee height being an important determinant of joint structure is based on the hypothesis that greater limb length imparts larger moments around the knee, producing more torque and subsequent joint loads.

In the only study to have examined knee height, Hunter and colleagues (2005) demonstrated an increased prevalence of radiographic knee osteoarthritis (OA) in elderly Beijing residents with increased knee height [1]. This study comprised a population of Chinese aged 60 years or older and used radiographic disease as one of the measured end-points. Radiographic knee OA is heavily reliant on the osteophyte to classify disease. However OA is a disease of the whole joint and it is now well recognized that factors such as physical activity may be associated with the development of osteophytes, due to traction effects, while also being associated with beneficial effects on knee cartilage [2–5]. Thus, whether knee height is actually deleterious to individual joint structures is unclear. With the advent of magnetic resonance imaging (MRI), it is now possible to directly examine articular structures, such as cartilage, and to help better characterize the association between anthropometric measures of height and knee joint morphology. Moreover, MRI enables asymptomatic subjects, free from radiographic OA, who may however have very early degenerative changes, such as cartilage defects, to be examined in an attempt to help better understand the pathogenesis of pre-clinical knee OA.

The aim of this study was to examine whether body height, knee height and knee height as a percentage of body height are associated with knee joint structures in an asymptomatic community-based population.

Methods

Subjects

Eighty-nine community-based Caucasian Australian participants were recruited through local media and public/private/community weight loss clinics to take part in a community-based study of lifestyle factors on knee health. These 89 subjects were a subgroup of a larger cohort examining obesity and knee structure who had an X-ray of the knee available for analysis. Exclusion criteria included physician diagnosed arthritis, prior surgical intervention to the knee, previous significant knee injury requiring non weight bearing therapy, knee pain precluding weight-bearing activity for >24 h or prescribed analgesia, malignancy, inability to complete the study or contraindication to MRI.

The study was approved by Alfred Human Research and Ethics Committee and the Monash Standing Research Ethics Committee.

Anthropometric data

Body weight was measured to the nearest 0.1 kg (shoes, socks, and bulky clothing removed) using a single pair of electronic scales. Body height was measured to the nearest 0.1 cm (shoes and socks removed) using a stadiometer.

Knee height was measured by a single trained observer using the standardized procedures as described by Zhang [6]. Knee height was defined as the distance from the sole of the foot to the anterior surface of the femoral condyle of the thigh, with the ankle and knee each flexed to a 90° angle (see Figure 1). It was measured on each of the participants while supine on the examination table using a sliding caliper on the leg that had undergone MRI to the nearest 0.1cm. The coefficient of variation (CV) for the measure of knee height was 3.9%. Knee height as a percentage of totally body height was then calculated by dividing the knee height (cm) by the body height (cm), and multiplying by 100.

Figure 1
figure 1

Knee height measurement, Knee height was defined as the distance from the sole of the foot to the most anterior surface of the femoral condyles of the thigh (medial being more anterior), with the ankle and knee each flexed to a 90° angle.

Full size image

Magnetic resonance imaging (MRI)

An MRI of the dominant knee of each subject (defined as the lower-limb from which the subject leads from when initiating gait) was performed. Knees were imaged in the sagittal plane on a 1.5-T whole body magnetic resonance unit (Philips, Medical Systems, Eindhoven, the Netherlands) using a commercial transmit-receive extremity coil. The following sequence and parameters were used: T1-weighted fat saturation 3D gradient recall acquisition in the steady state (58ms/12ms/55°, repetition time/echo time/flip angle) with a 16 cm field of view, 60 partitions, 512 × 512 matrix and acquisition time 11 min 56 s (one acquisition). Sagittal images were obtained at a partition thickness of 1.5 mm and an in-plane resolution of 0.31 × 0.31 mm (512 × 512 pixels) [7, 8].

Cartilage volumes and bone areas at the tibia were determined by image processing on an independent workstation using the Osiris software (University Hospital of Geneva, Geneva, Switzerland). Contours were drawn around the tibia in images 1.5mm apart on sagittal views via disarticulation contours around the cartilage boundary. Measurements were performed by one trained observer with independent random cross checks blindly performed by a second trained observer, both blinded to subject identification, and data collected. The CVs for tibial cartilage volume and bone area were both 2.1% [7, 9].

Cartilage defects were graded on the MR images with a classification system that has been previously described [8, 10]: grade 0 = normal cartilage; grade 1 = focal blistering and intracartilaginous low-signal intensity area with an intact surface and bottom; grade 2 = irregularities on the surface or bottom and loss of thickness of less than 50%; grade 3 = deep ulceration with loss of thickness of more than 50%; grade 4 = full-thickness cartilage wear with exposure of subchondral bone. Medial and lateral defects were graded for the tibial compartment. The presence of a cartilage defect was defined by grade 1 or higher. Intraobserver reliability assessed in 50 MR images (expressed as intraclass correlation coefficient) was 0.90 for the medial compartment and 0.89 for the lateral compartment [11].

Osteophytes were measured from MR images, which have been shown to be more sensitive than X-rays [12]. Osteophytes were measured from coronal images by two independent trained observers. In the event of disagreement between observers, a third independent observer reviewed the MRI. Intra-observer and inter-observer reproducibility for agreement on osteophytes ranged between 0.85 and 0.93 (κ statistic).

Knee alignment

Knee angles were measured by a blinded observer from standing anterior-posterior radiographs using the software program Osiris, as previously described [13]. Lines were drawn through the middle of the femoral shaft and through the middle of the tibial shaft. The angle subtended at the point at which these two lines met in the centre of the tibial spines, and was recently validated by Hinman et al [13] as an alternative to the mechanical axis on full-leg radiographs. Knee angles were considered as a continuum ranging from 0 to 360°, with 0° representing extreme varus and 360° representing extreme valgus. Although these degrees of varus and valgus are not clinically observed, a continuous range was used to avoid defining varus and valgus from an arbitrarily chosen midline value. Intra-observer reliability (expressed as ICC) was 0.98 [14].

Statistical Analysis

Cartilage volume and bone area was initially assessed for normality (i.e. conformed to a bell-shaped distribution and Wilk-Shapiro test) before being regressed against knee height variables using a linear regression model. The presence of tibial cartilage defects were categorised as a dichotomous outcome (yes/no), therefore logistic regression was used. Confounders including age, weight and gender were adjusted for in the regression models. We have also adjusted analyses for static knee angle, in an attempt to control for any influence of knee malalignment. Since cartilage volume is a known determinant of cartilage defects, defect analyses have subsequently been adjusted for cartilage volume. Likewise, metaphyseal bone area is a known determinant of cartilage volume, and as such, has been adjusted for in the appropriate analyses. Finally, all analyses were adjusted for the presence of MRI determined osteophytes based on previous work [1]. A P value of less than 0.05 was considered to be statistically significant. All analyses were performed using the SPSS statistical package (standard version 16.0, SPSS, Chicago, IL).

Results

Subject characteristics are shown in Table 1. 89 adults (82% female) aged between 25 and 62 years (mean age 47.4 years) participated in the study. The average height was 167.6cm (SD ± 9.1cm), while the average knee height and knee height as a percentage of body height was 51.1cm (SD ± 3.6cm) and 30.5% (SD ± 1.2%) respectively.

Table 1 Mean subject demographics, knee height measures and MRI variables
Full size table

The association between height measurements and knee joint structures are shown in Table 2. Body height was associated with tibial bone area and cartilage volume (β ranging from 6-11 mm2 for bone area results; and 10-12 mm3 for cartilage volume results; all p ≤ 0.06). Knee height was associated with medial (β = 27 mm3 95% CI 7- 48; p = 0.009) and lateral (β = 42 mm3 95% CI 19- 65; p = 0.001) tibial cartilage volume after adjustment for confounders. That is, medial cartilage volume was increased by 27 mm3 for every 1 cm increase in knee height, while lateral cartilage volume was increased by 42 mm3 for every 1cm increase in knee height. In relative terms, for the medial compartment, this data demonstrated a 2.6% increase in the average total cartilage volume, for every 1cm knee in knee height. However, when knee height as a percentage of body height and tibial cartilage volumes were examined, the medial tibial cartilage volume was no longer significantly associated (p = 0.63), and the lateral tibial cartilage volume now only tending toward significance (p = 0.11). Knee height as a percentage of body height was associated with bone area (β ranging from 43 - 50 mm2; all p ≤ 0.02). Although knee height was not associated with the risk of cartilage defects, knee height as a percentage of body height was associated with a reduced risk of the presence of medial tibial cartilage defects (Odds ratio 0.6; 95% Confidence interval 0.4 - 1.0; p = 0.05). Both body height and knee height tended to be associated with an increased risk for the presence of MRI determined osteophytes (β = 1.2, 95% CI 1.0 - 1.5; p ≤ 0.06).

Table 2 The association between anthropometric height measures and tibial cartilage volume, defects and bone area
Full size table

Discussion

In asymptomatic community-based adults, we have demonstrated that increased anthropometric height measures are associated with increased tibial bone area, while knee height as a percentage of body height is associated with a reduced risk of medial tibial cartilage defects. We have also found that knee height is associated with knee cartilage volume. The associations between increased anthropometric measures and increased bone area may simply reflect inherently larger bony structures. However the beneficial associations demonstrated with cartilage morphology suggest that an increased knee height may confer a beneficial biomechanical environment to the chondrocyte of asymptomatic adults.

In the only previous study to have examined knee height, radiographic knee OA was associated with increased knee height among Beijing residents aged 60 years or older [1]. According to the Kellgren-Lawrence grading system, the diagnosis of radiographic OA is heavily reliant on the presence of osteophytes to classify disease. The role of osteophytes in disease pathogenesis remains unclear, but much of the previous study's association between knee height and radiographic OA [1] may have been mediated by the presence of osteophytes. To further explore this concept, we found that knee height tended to be significantly associated with an increased risk for the presence of MRI osteophytes (OR 1.2; 95% CI 1.0 - 1.5; p = 0.06). MRI has been shown to be more sensitive than the joint radiograph at determining the presence of osteophytes [12]. Furthermore, we demonstrated that increased knee height is associated with increased tibial bone size, which supports knee height being inherently linked to bone morphology and may not necessarily be detrimental to other structures, such as cartilage. This leads to the quandary of determining whether increased knee height is to the detriment of the knee joint. In this study, we substantiate Hunter et al. results by demonstrating a possible deleterious association, particularly with the osteophyte [1], a key criterion for the diagnosis of radiographic OA.

Nonetheless, despite the deleterious association with the knee osteophyte, we have demonstrated that an increased knee height is associated with increased knee cartilage volume, although this relationship did not persist when knee height as a percentage of body height was examined. This indicates that although knee height is associated with cartilage volume, the relationship is attenuated when the overall stature of an individual is accounted for. In contrast, knee height as a percentage of body height (but not isolated knee height) was associated with a reduced risk of medial tibial, but not lateral cartilage defects. Why isolated knee height is associated with cartilage volume, and knee height as a percentage of body height is associated with reduced medial cartilage defects, but not vice versa, is unclear. However, the direction of these results is consistent and infer that increased knee height (either isolated, or relative to total body height) is associated with beneficial cartilaginous properties (increased cartilage volume and reduced cartilage defects) at the knee, suggesting a protective biological effect. Moreover, the medial compartment specific association between knee height as a percentage of body height and cartilage defects further substantiates an underlying biomechanical mechanism, since knee joint loads are predominantly directed medially [15]. Cartilage defects are surface lesions which, independent of cartilage volume, predict cartilage loss and pain in both people with and without knee OA [16–21]. Why increased joint load, which is speculated to result from an increase in knee height, either alone or as a percentage of body height, benefits the cartilage of asymptomatic people is unclear. It may be that healthy articular cartilage relies upon a certain degree of mechanical stimulation. In childhood, cartilage accrual is greater in physically active children [22], while in adults, forced immobility results in a rapid decline in knee cartilage [23, 24]. Mechanical stimulation may therefore be imperative in maintaining cartilage health, although mechanocellular mechanisms may be easily perturbed when disease processes are activated by other means (e.g. in the setting of obesity).

There are a number of other factors that may also account for the differences between the results of our MRI study and the previous radiographic study. In contrast to our population which was Caucasian, the previous study examined Beijing residents. The Chinese have been demonstrated to have more valgus alignment of the distal femur than Caucasians [25]. Biomechanically, changes in varus-valgus alignment of the lower-limb can ameliorate the external knee adductor moment, which is the major determinant of joint load distribution at the knee [15]. In contrast to the previous study, we have adjusted for knee alignment. Moreover, we have examined a cohort of people without established knee OA. The disease status of a joint health may be a key determinant of how the chondrocyte responds to external loads. Similarly, articular structures may respond differently to the same stimuli over the life-span. Whereas the previous study of Beijing residents examined people aged 60 or over [1], we have examined a younger population with only 2.9% being aged 60 or over. In addition, we also examined knee height as a proportion of total body height, which may explain further differences in the findings.

This study has several limitations. Although we excluded people with a diagnosed arthropathy, we have not adjusted for the possibility of radiographic OA, despite adjusting for osteophytes. Since we did not have knee radiographs we determined the presence of osteophytes from MRI. This has previously been shown to be a more sensitive method for determining the presence of osteophytes than radiography [26]. Moreover, our main findings related to cartilage volume and defects were independent of bone area and cartilage volume respectively, both of which are strongly associated with radiographic knee OA [27, 28]. Directly assessing cartilage volume is more sensitive than radiography for detecting early OA, since more than 10% of cartilage is already lost before any radiographic OA is detected [27]. Moreover, since our relatively small (n = 89) cohort was predominantly female (82%), recruited in part, from weight-loss clinics (mean BMI 32 kg m-2), we were limited in our ability to perform subgroup analyses based on gender. Additionally, we could not meaningfully analyse other subgroups, such as obesity classes, which impacts the generalisability of our findings. Nonetheless, we have limited the confounding effect of gender and weight, by adjusting for these in multivariate analyses. Finally, as this is a cross-sectional study, longitudinal data is needed to confirm the protective effect of an increased knee height on cartilage in those without knee OA.

Conclusions

This is the first study to directly examine articular structures and anthropometrical measurements of height. We have found that in asymptomatic community-based adults, increased bone area is associated with increased measures of knee height. We also found that increased knee height measurements were associated with increased knee cartilage volume and a reduced risk for medial knee cartilage defects. The associations with bone area may simply reflect the association of inherently larger bony structures. However the beneficial associations demonstrated with cartilage morphology suggest that an increased knee height may confer a beneficial biomechanical environment to the chondrocyte of asymptomatic adults.

References

  1. Hunter DJ, Niu J, Zhang Y, Nevitt MC, Xu L, Lui LY: Knee height, knee pain, and knee osteoarthritis: the Beijing Osteoarthritis Study. Arthritis Rheum. 2005, 52 (5): 1418-1423. 10.1002/art.21017.

    Article  PubMed  Google Scholar 

  2. Spector TD, Harris PA, Hart DJ, Cicuttini FM, Nandra D, Etherington J: Risk of osteoarthritis associated with long-term weight-bearing sports: a radiologic survey of the hips and knees in female ex-athletes and population controls. Arthritis Rheum. 1996, 39 (6): 988-995. 10.1002/art.1780390616.

    CAS  Article  PubMed  Google Scholar 

  3. Lane NE, Oehlert JW, Bloch DA, Fries JF: The relationship of running to osteoarthritis of the knee and hip and bone mineral density of the lumbar spine: a 9 year longitudinal study. J Rheumatol. 1998, 25 (2): 334-341.

    CAS  PubMed  Google Scholar 

  4. Teichtahl AJ, Wluka AE, Forbes A, Wang Y, English DR, Giles GG: Longitudinal effect of vigorous physical activity on patella cartilage morphology in people without clinical knee disease. Arthritis Rheum. 2009, 61 (8): 1095-1102. 10.1002/art.24840.

    Article  PubMed  Google Scholar 

  5. Racunica TL, Teichtahl AJ, Wang Y, Wluka AE, English DR, Giles GG: Effect of physical activity on articular knee joint structures in community-based adults. Arthritis Rheum. 2007, 57 (7): 1261-1268. 10.1002/art.22990.

    Article  PubMed  Google Scholar 

  6. Zhang H, Hsu-Hage BH, Wahlgvist ML: The use of knee height to estimate maximum stature in elderly Chinese. J Nutr Health Aging. 1998, 2 (2): 84-87.

    CAS  PubMed  Google Scholar 

  7. Jones G, Glisson M, Hynes K, Cicuttini F: Sex and site differences in cartilage development: a possible explanation for variations in knee osteoarthritis in later life. Arthritis Rheum. 2000, 43 (11): 2543-2549. 10.1002/1529-0131(200011)43:11<2543::AID-ANR23>3.0.CO;2-K.

    CAS  Article  PubMed  Google Scholar 

  8. Felson DT, Chaisson CE, Hill CL, Totterman SM, Gale ME, Skinner KM: The association of bone marrow lesions with pain in knee osteoarthritis.[see comment]. Ann Intern Med. 2001, 134 (7): 541-549.

    CAS  Article  PubMed  Google Scholar 

  9. Teichtahl AJ, Jackson BD, Morris ME, Wluka AE, Baker R, Davis SR: Sagittal plane movement at the tibiofemoral joint influences patellofemoral joint structure in healthy adult women. Osteoarthr Cartil. 2006, 14 (4): 331-336. 10.1016/j.joca.2005.11.006. Epub 2006 Jan 19

    CAS  Article  PubMed  Google Scholar 

  10. Hunter DJ, Zhang Y, Niu J, Goggins J, Amin S, LaValley MP: Increase in bone marrow lesions associated with cartilage loss: a longitudinal magnetic resonance imaging study of knee osteoarthritis. Arthritis Rheum. 2006, 54 (5): 1529-1535. 10.1002/art.21789.

    Article  PubMed  Google Scholar 

  11. Ding C, Garnero P, Cicuttini F, Scott F, Cooley H, Jones G: Knee cartilage defects: association with early radiographic osteoarthritis, decreased cartilage volume, increased joint surface area and type II collagen breakdown. Osteoarthr Cartil. 2005, 13 (3): 198-205. 10.1016/j.joca.2004.11.007.

    Article  PubMed  Google Scholar 

  12. Beattie KA, Boulos P, Pui M, O'Neill J, Inglis D, Webber CE: Abnormalities identified in the knees of asymptomatic volunteers using peripheral magnetic resonance imaging. Osteoarthr Cartil. 2005, 13 (3): 181-186. 10.1016/j.joca.2004.11.001.

    CAS  Article  PubMed  Google Scholar 

  13. Hinman RS, May RL, Crossley KM: Is there an alternative to the full-leg radiograph for determining knee joint alignment in osteoarthritis?. Arthritis Rheum. 2006, 55 (2): 306-313. 10.1002/art.21836.

    Article  PubMed  Google Scholar 

  14. Cicuttini FM, Wluka AE, Hankin J, Wang Y: A longitudinal study of the effect of the knee angle on tibiofemoral cartilage volume in subjects with knee osteoarthritis. Rheumatology. 2004, 43: 321-324.

    CAS  Article  PubMed  Google Scholar 

  15. Andriacchi TP: Dynamics of knee malalignment. Orthop Clin N Am. 1994, 25 (3): 395-403.

    CAS  Google Scholar 

  16. Cicuttini F, Ding C, Wluka A, Davis S, Ebeling PR, Jones G: Association of cartilage defects with loss of knee cartilage in healthy, middle-age adults: A prospective study. Arthritis Rheum. 2005, 52 (7): 2033-2039. 10.1002/art.21148.

    Article  PubMed  Google Scholar 

  17. Ding C, Cicuttini F, Scott F, Boon C, Jones G: Association of prevalent and incident knee cartilage defects with loss of tibial and patellar cartilage: a longitudinal study. Arthritis Rheum. 2005, 52 (12): 3918-3927. 10.1002/art.21474.

    Article  PubMed  Google Scholar 

  18. Ding C, Cicuttini F, Scott F, Cooley H, Jones G: Knee structural alteration and BMI: a cross-sectional study. Obes Res. 2005, 13 (2): 350-361. 10.1038/oby.2005.47.

    Article  PubMed  Google Scholar 

  19. Boegard TL, Rudling O, Petersson IF, Jonsson K: Magnetic resonance imaging of the knee in chronic knee pain A 2-year follow-up. Osteoarthr Cartil. 2001, 9 (5): 473-480. 10.1053/joca.2001.0414.

    CAS  Article  PubMed  Google Scholar 

  20. Hjelle K, Solheim E, Strand T, Muri R, Brittberg M: Articular cartilage defects in 1,000 knee arthroscopies. Arthroscopy. 2002, 18 (7): 730-734. 10.1053/jars.2002.32839.

    Article  PubMed  Google Scholar 

  21. Link TM, Steinbach LS, Ghosh S, Ries M, Lu Y, Lane N: Osteoarthritis: MR imaging findings in different stages of disease and correlation with clinical findings. Radiology. 2003, 226 (2): 373-381. 10.1148/radiol.2262012190.

    Article  PubMed  Google Scholar 

  22. Jones G, Ding C, Glisson M, Hynes K, Ma D: Cartilage development in children: a longitudinal study of the effect of sex, growth, body composition and physical activity. Pediatrics Res. 2003, 54: 230-236. 10.1203/01.PDR.0000072781.93856.E6.

    Article  Google Scholar 

  23. Vanwanseele B, Eckstein F, Knecht H, Spaepen A, Stussi E: Longitudinal analysis of cartilage atrophy in the knees of patients with spinal cord injury. Arthritis Rheum. 2003, 48 (12): 3377-3381. 10.1002/art.11367.

    CAS  Article  PubMed  Google Scholar 

  24. Vanwanseele B, Eckstein F, Knecht H, Stussi E, Spaepen A: Knee Cartilage of Spinal Cord-Injured Patients Displays Progressive Thinning in the Absence of Normal Joint Loading and Movement. Arthritis Rheum. 2002, 46 (8): 2073-2078. 10.1002/art.10462.

    CAS  Article  PubMed  Google Scholar 

  25. Harvey WF, Niu J, Zhang Y, McCree PI, Felson DT, Nevitt M: Knee alignment differences between Chinese and Caucasian subjects without osteoarthritis. Ann Rheum Dis. 2008, 67 (11): 1524-1528.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. Lo G, Hunter DJ, LaValley M, Zhang YQ, McLennan C, Niu JB: Higher sensitivity for osteophytes on MRI. Arthritis Rheum. 2004, 50: S143-

    Google Scholar 

  27. Jones G, Ding C, Scott F, Glisson M, Cicuttini FM: Early radiographic osteoarthritis is associated with substantial changes in cartilage volume and tibial bone surface area in both males and females. Osteoarthr Cartil. 2004, 12: 169-174. 10.1016/j.joca.2003.08.010.

    CAS  Article  PubMed  Google Scholar 

  28. Wluka AE, Wang Y, Davis SR, Cicuttini FM: Tibial plateau size is related to grade of joint space narrowing and osteophytes in healthy women and in women with osteoarthritis. Ann Rheum Dis. 2005, 64 (7): 1033-1037. 10.1136/ard.2004.029082. Epub 2004 Dec 15

    CAS  Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

Thanks to Karen Parisienne in the Body Composition Laboratory, MonashMedical Centre for the anthropometric measurements. Dr Wluka is the recipient of NHMRC Career Development Award (NHMRC 545876). Dr Wang is the recipient of an NHMRC Public Health Fellowship (NHMRC 465142).

Author information

Affiliations

  1. Department of Epidemiology and Preventive Medicine, School of Public Health & Preventive Medicine, Monash University, Alfred Hospital, Melbourne, Vic, 3004, Australia

    Andrew J Teichtahl, Anita E Wluka, Yuanyuan Wang, Patricia Berry, Miranda Davies-Tuck & Flavia M Cicuttini

  2. Baker Heart Research Institute, Commercial Road, Melbourne, Vic, 3004, Australia

    Anita E Wluka

  3. Department of Medicine, and Nutrition & Dietetics, Southern Clinical School, Monash University, Clayton, VIC, Australia

    Boyd J Strauss

  4. Body Composition Laboratory, Clinical Nutrition and Metabolism Unit, Monash Medical Centre, Clayton, VIC, Australia

    Boyd J Strauss

  5. Department of Epidemiology and Preventive Medicine, School of Public Health & Preventive Medicine, Monash University, Alfred Hospital, Melbourne, VIC, 3004, Australia

    Flavia M Cicuttini

Authors
  1. Andrew J Teichtahl
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anita E Wluka
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Boyd J Strauss
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuanyuan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Patricia Berry
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Miranda Davies-Tuck
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Flavia M Cicuttini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Flavia M Cicuttini.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AJT contributed to data analyses and manuscript writing AEW contributed to data acquisition, data analyses and manuscript drafting BJS contributed to data acquisition and manuscript drafting YW contributed to data acquisition and manuscript drafting PB contributed to data acquisition and manuscript drafting MDT contributed to data acquisition and manuscript drafting FMC contributed to data acquisition, data analyses and manuscript drafting. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Teichtahl, A.J., Wluka, A.E., Strauss, B.J. et al. The associations between body and knee height measurements and knee joint structure in an asymptomatic cohort. BMC Musculoskelet Disord 13, 19 (2012). https://doi.org/10.1186/1471-2474-13-19

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2474-13-19

Keywords

  • Knee height
  • Knee
  • Cartilage
  • Osteoarthritis

BMC Musculoskeletal Disorders

ISSN: 1471-2474

Contact us