Reliability of Bone Mineral Density and Body Composition using Dexa (Dual Energy X-Ray Absorptiometry) in Premenopausal Women
Received Date: July 25, 2024 Accepted Date: August 25, 2024 Published Date: August 28, 2024
doi: 10.17303/jrnm.2024.1.104
Citation:Clissold TL, Cronin JB, De Souza MJ, Winwood PW (2024) Reliability of Bone Mineral Density and Body Composition using Dexa (Dual Energy X-Ray Absorptiometry) in Premenopausal Women. J Radiol Nucl Med 1: 1-7
Abstract
Purpose: The purpose of this study was to determine the precision and reliability of a dual energy x-ray absorptiometry (DEXA) device for assessing bone mineral density (BMD), hip geometry and body composition in premenopausal women. Test-retest reliability of DEXA was determined in conjunction with a 12-month bone health intervention to determine the reliability for measurements of key variables and therefore define the smallest worthwhile change.
Method: Seventeen woman (age, 32.3 ± 7.70y; body mass, 69.1 ± 23.2kg; height, 166.5 ± 5.90cm; body fat, 27.5 ± 6.70%) received two DEXA scans within a 7-day period using the same machine and performed by the same technician.
Results: Significant correlations (p < 0.001) were observed for all measures and reliability was excellent for all body composition measures (ICC’s = 0.92 to 1.00; CV’s = 0.32 to 1.23%). Significant correlations (p < 0.001) were observed for all measures and reliability was excellent for all left hip measures (ICC’s = 0.83 to 1.00; CV’s = 0.64 to 2.13%). Significant correlations (p < 0.001) were observed for all measures and reliability was excellent for all lumbar spine measures (ICC’s = 0.94 to 1.00; CV’s = 0.56 to 1.87).
Conclusion: The excellent reliability results reported for BMD, hip geometry and body composition support the use of DEXA to assess the therapeutic effectiveness of an exercise intervention to be used for osteoporosis prevention in premenopausal women.
Keywords: Reliability; Precision; Bone Health; Osteoporosis Prevention; Premenopausal Women
Introduction
Currently, Dual Energy X-Ray Absorptiometry (DEXA) is considered the ‘gold standard’ tool in the diagnosis and management of osteoporosis, and is used to define fracture risk using WHO T-score criteria [1] DEXA can provide measures of bone mineral density (BMD), bone mineral content (BMC), hip structural analysis (HSA) and body composition. With regards to understanding the utility of these measurements, it is important to quantify the variability associated with these assessments. Previous researchers reporting BMD in premenopausal women have reported coefficients of variation (CV’s) ranging from 0.5% to 2.0% for femoral neck and lumbar spine [2-6] however these were not always reported [7-9]. A further limitation is that only one study has reported CV’s for BMC, and this value was only presented for the femoral neck [2].
In addition, some of these studies [4,5] provided CV’s which represented in-house precision error values, rather than establishing test-retest reliability of a particular technician quantifying the variability associated with a particular sample. Furthermore, only one study has reported test-retest reliability associated with hip structural analysis in premenopausal women, CV’s for hip structural analysis variables (section modulus, Z, and minimal femoral neck width) were 4.1% and 1.4%, respectively [2]. However, no CVs were reported for cortical thickness or cross-sectional area. For a full understanding of the variability associated with measurements it is recommended that the measures of absolute (CV) and relative consistency (intra-class correlation coefficients - ICC) should be presented [11]. Given these limitations, the purpose of this study was to quantify both absolute and relative consistency for the variability associated with: a) BMD and BMC at the femoral neck and lumbar spine (L1 - L4); b) hip geometry variables (cortical thickness, crosssectional area and section modulus) at the femoral neck using hip structural analysis software (HSA); and c) body composition variables (total mass, lean mass, fat mass and body fat percentage), for DEXA in premenopausal women.
Methods
Experimental Approach to the Problem
A test-retest design was utilised to quantify the reliability of the DEXA variables of interest (BMD, BMC, bone geometry variables and body composition). Data was collected using specialised hip structural analysis (HSA) software (Hologic Discovery QDR Series Bone Densitometer, Bedford, Massachusetts). Data was collected for each participant over two testing sessions separated by no more than seven days as recommended by the International Society for Clinical Densitometry
Participants
Seventeen healthy premenopausal women (20 – 50 yr), volunteered to participate in this study (see Table 1). All participants were considered healthy as determined by a Physical Activity Readiness Questionnaire (PAR-Q) and inclusion criteria required participants to be younger than 51 years of age, in conjunction with the participants reporting a regular menstrual cycle, which was used to determine premenopausal status. All participants provided written informed consent after having being briefed on the potential risks associated with this research. The methods and procedures used in this study were approved by the New Zealand Health and Disability Ethics Committees (17/NTB/155).
Testing Protocol
During the first session participants filled in a prescreening questionnaire prior to having their height (wallmounted stadiometer to the nearest 0.1cm) and weight measured using Tanita electronic floor scales (Cloverdale, Western Australia). Prior to scanning, calibration was performed using a criterion phantom device in accordance with the manufacturer guidelines. Procedures were standardised according to the recommendations of the Australian and New Zealand Bone and Mineral Density Society, to minimise any scanning errors. The participants were all positioned within the scan range, with the leg position standardised, and secured with straps (hip scan only) to reduce positioning error. The participants removed metal objects or jewellery from their body prior to scanning and wore similar clothing for each scan. A fan beam DEXA (Hologic Discovery QDR Series Bone Densitometer, Bedford, Massachusetts) device was used, for both testing sessions, to perform the following scans; BMD and BMC at the proximal femur (neck and trochanter), and lumbar spine (L1 - L4); hip geometry (cortical thickness, cross-sectional area and section modulus) utilising specialised HSA software; and body composition (total mass, lean muscle mass, fat mass). Both DEXA testing sessions were performed using the same machine (see Figure 1) by the same technician, at a similar time of day and testing order was standardised for all participants.
Statistical Analyses
Descriptive statistics were used to describe the cohort characteristics. Reliability of DEXA bone mineral density and body composition measures was evaluated by intraclass correlation coefficients (ICC) using a two-way random effects model, absolute agreement and average measures ICC [14]. ICCs were classified as follows: 'poor' (≤ 0.40), 'moderate' (0.41 - 0.60), 'good' (0.61 - 0.80), or 'excellent' (≥ 0.81) [10,14]. 95% confidence intervals (95% CI) were calculated to assess relative consistency for all reliability measures. Coefficients of variation (CV) were also calculated (CV = SD/mean * 100) for each dependant variable to assess absolute consistency. Although a CV < 10% is considered acceptable in clinical trials, the International Society for Clinical Densitometry guidelines indicate acceptable precision to be 1.9% at the lumbar spine and 2.5% at the femoral neck. Data analyses were conducted using SPSS 22.0 for Windows (SPSS Inc., Chicago, IL, USA). Significance was set at p < 0.05.
Results
Cohort Characteristics
There were 17 participants that completed the DEXA scanning twice over the seven-day period, with an average of 1.4 ± 2.0 days between testing sessions. Participants were between 20 and 50 years of age, with 59% also recruited for the 12-month jump-landing study (Table 1).
Bone Mineral Density and Bone Mineral Content
The test-retest reliability data for DEXA left hip and lumbar measures are reported in Table 2. Relative consistency (ICC) for all measures ranged between 0.98 to 1.00, the lowest ICC was associated with femoral neck BMC. Absolute consistency ranged between 0.70 to 2.01%, the greatest CV was also associated with femoral neck BMC.
Hip Structural Analysis
The test-retest reliability data for DEXA left hip structural analysis measures can be observed in Table 2. Relative consistency was excellent for all left hip structural analysis measures (ICC’s = 0.91 to 0.99), the lowest ICC associated with narrow neck cross-sectional area. Absolute consistency ranged from 1.45 to 1.88%, the highest CV was associated with the narrow neck section modulus.
Body Composition
The test-retest reliability data for DEXA body composition measures are detailed in Table 2. Relative consistency for all measures was 1.00, and the absolute consistency ranged between 0.32 to 1.23%. The greatest CV was associated with total body mass and total body fat percentage femoral neck BMC (1.23%).
Please note that the variables reported in this results section are the principal variables of interest to this research and those reported the most in the literature. A full analysis of all variables can be observed in the supplementary material.
Discussion
The purpose of this study was to present a full understanding of the variability associated with DEXA measurements of interest for premenopausal women, by providing measures of absolute (CV) and relative consistency (ICC). Previously these values have not been reported for femoral neck and lumbar spine BMC, bone geometry variables and body composition in this population. In addition, test-retest reliability has not previously achieved the rigour associated with presenting absolute and relative consistency values for these measures, and these values can represent generic in-house values rather than that of a specific technician using a study-specific population. The main findings of this study were that reliability was excellent for all DEXA measures (ICC’s = 0.91 to 1.00; CV’s = 0.32 to 2.01%).
The test-retest reliability data for DEXA left hip and lumbar BMD and BMC measures were excellent, and relative consistency ranged between 0.98 to 1.00. Absolute consistency for BMD ranged between 0.64 to 1.12%, which is comparable to values (1.0 to 1.4%) reported by researchers who utilised a sub-sample of the premenopausal participants in their intervention [2,3,6]. Absolute consistency ranged between 0.70 to 2.01% for BMC with the greatest CV associated with femoral neck. As only one study has presented test-retest reliability for BMC in premenopausal women [2] and only at the femoral neck (CV = 1.7%), future studies need to report on this variable.
The DEXA left hip structural analysis reliability data was excellent for all measures (ICC’s = 0.91 to 0.99; CV’s = 1.45 to 1.88%). Any variability may have arisen from technical error generated by the failure to standardise the positioning of the participant in exactly the same position to replicate the rotation at the hip joint, however our results are favourable in comparison to values previously presented (1.4 and 4.1%; for femoral neck width and section modulus respectively) [2]. Further research is required to gain a better understanding about the variability associated with HSA, as currently only one study to our knowledge has presented such data in premenopausal women [2].
Participant positioning has also been suggested to influence DEXA estimates for body composition in addition to biological variation, including hydration status and the effects of diet, exercise, food and fluid in the hours prior to the [13]. However, the test-retest procedures used for determining DEXA body composition measures of premenopausal women produced stable data over two testing occasions. Relative consistency for all measures was 1.00, and the absolute consistency ranged between 0.32 to 1.23%. Although CV values for body composition were either not assessed or not presented for most DEXA studies involving premenopausal women [6] reported absolute consistency values of < 1.5% which are similar to our results, all CVs < 1.25%.
As previously only measures of absolute consistency have been presented for the variability associated with DEXA measurements, the purpose of this study was to improve the rigour of test-retest reliability by presenting both absolute and relative consistency values for these measures in premenopausal women. It is therefore recommended that both CV and ICC values should be presented to describe a full understanding of the variability associated with DEXA measurements in this specific population. In addition, it is recommended that test-retest reliability values presented must represent the error associated with a specific technician using a study-specific population, rather than generic in-house values.
Conclusion
We have provided a comprehensive description of the reliability (relative and absolute consistency) associated with DEXA measurements not previously presented for premenopausal women. In addition, we have reported excellent reliability results for BMC, HSA and body composition, which are values not reported in previous studies. It is therefore recommended that future research using DEXA should provide precision error values for these variables to enable acceptable precision ranges to be established for this population. Furthermore, it is advised that test-retest reliability should represent the variability associated with a specific technician utilising a specific population rather than in-house precision error values.
Conflict of Interest
The authors declare that they have no conflict of interest.
- Kanis JA, Kanis JA (1994). Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: Synopsis of a WHO report. Osteoporosis International 4: 368-81.
- Bailey CA, Brooke Wavell K (2010). Optimum frequency of exercise for bone health: Randomised controlled trial of a high-impact unilateral intervention. Bone 46: 1043-49.
- Bassey EJ, Rothwell MC, Littlewood JJ, Pye DW (1998) Pre- and postmenopausal women have different bone mineral density responses to the same high-impact exercise. Journal of Bone and Mineral Research 13: 1805-13.
- Heinonen A, Kannus P, Sievänen H, Oja P, Pasanen M et al. (1996) Randomised controlled trial of effect of high-impact exercise on selected risk factors for osteoporotic fractures. The Lancet 348: 1343-7.
- Kato T, Terashima T, Yamashita T, Hatanaka Y, Honda A et al. (2006) Effect of low-repetition jump training on bone mineral density in young women. Journal of Applied Physiology 100: 839-43.
- Winters Stone KM, Snow CM (2006) Site-specific response of bone to exercise in premenopausal women. Bone 39: 1203-9.
- Niu K, Ahola R, Guo H, Korpelainen R, Uchimaru J et al. (2010) Effect of office-based brief high-impact exercise on bone mineral density in healthy premenopausal women: The Sendai Bone Health Concept Study. Journal of Bone and Mineral Metabolism 28: 568-77.
- Tucker LA, Strong JE, LeCheminant JD, Bailey BW (2014) Effect of two jumping programs on hip bone mineral density in premenopausal women: A randomized controlled trial. American Journal of Health Promotion.
- Vainionpää A, Korpelainen R, Leppäluoto J, Jämsä T (2005) Effects of high-impact exercise on bone mineral density: a randomized controlled trial in premenopausal women. Osteoporosis International 16: 191-7.
- Enderlein G (1988) Fleiss, J. L.: The Design and Analysis of Clinical Experiments. Wiley, New York – Chichester – Brislane – Toronto – Singapore 1986, 432 S., £38.35. Biometrical Journal, 30: 304-4.
- Hopkins WG (2000) Measures of reliability in sports medicine and science. Sports Med 30: 1-15.
- Lenchik L, Kiebzak GM, Blunt BA (2002) What is the role of serial bone mineral density measurements in patient management? J Clin Densitom, 5 Suppl, S29-38.
- Nana A, Slater GJ, Hopkins WG, Burke LM (2012) Effects of daily activities on dual-energy X-ray absorptiometry measurements of body composition in active people. Med Sci Sports Exerc, 44: 180-9.
- Shrout PE, Fleiss JL (1979) Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86: 420-8.
Tables at a glance
Figures at a glance