UK reference data for the Hologic QDR Discovery dual-energy x ray absorptiometry scanner in healthy children and young adults aged 6-17 years

Ward, Kate A; Ashby, Rebecca L; Roberts, Steven A.; Adams, Judith E.; Mughal, M Zulf

doi:10.1136/adc.2006.097642

Cited by 109 publications

(73 citation statements)

References 49 publications

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“…Mathematical models were established to calculate the volumetric BMD or bone mineral apparent density, where height, bone area and bone width are considered to avoid under-or overestimation of bone status. 16,18,19,22 Considering such models, a slight decline in bone mineral apparent density of the femoral neck with increasing age has been observed in primary school children, which is in contrast to our findings. 16,19 A comparison of our QUS reference data with other QUS reference data should be made with caution.…”

Section: Discussioncontrasting

confidence: 56%

“…16,18,19,22 Considering such models, a slight decline in bone mineral apparent density of the femoral neck with increasing age has been observed in primary school children, which is in contrast to our findings. 16,19 A comparison of our QUS reference data with other QUS reference data should be made with caution. Most of the studies used different methods for calculating reference values or applied different QUS devices (for example, CUBA, Sahara, Sunlight Omnisense) with different measures (for example, speed of sound, broadband ultrasound attenuation) on different body sites (for Reference…”

Section: Discussioncontrasting

confidence: 56%

“…These reference data are mostly based on Asian, mixed American and Caucasian populations and are predominantly available for children above the age of 6 years. 10,14,[16][17][18][19][20][21] Several studies reported limitations of DXA to assess bone status in growing individuals. Especially, the use of aBMD results in an artificial underestimation of the bone status in short people and an overestimation in tall people due to its areal but not volumetric measurement.…”

Section: Introductionmentioning

confidence: 99%

“…That is, it does not account for depth or size and hence, it is not able to predict the 'true density' of the bone. 16,22 Furthermore, DXA does not distinguish between trabecular and cortical bone. It provides only little information on bone geometry and trabecular microarchitecture.…”

Section: Introductionmentioning

confidence: 99%

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Reference values of bone stiffness index and C-terminal telopeptide in healthy European children

et al. 2014

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,9 on behalf of the IDEFICS consortium BACKGROUND/OBJECTIVE: Quantitative ultrasound measurements and bone metabolic markers can help to monitor bone health and to detect impaired skeletal development. Population-based reference values for children may serve as a basis for preventive measures to reduce the risk of osteoporosis and osteoporotic fractures in later life. This is the first paper providing age-, sex-and height-specific reference values for bone stiffness index (SI) and serum carboxy-terminal cross-linking telopeptide of type I collagen (CTX) in healthy, apparently prepubertal children. SUBJECTS/METHODS: In the population-based IDEFICS baseline survey (2007)(2008) and follow-up (2009-2010), 18 745 children from eight European countries were newly recruited. A total of 10 791 2-10.9-year-old and 1646 3-8.9-year-old healthy children provided data on SI of the right and left calcaneus and serum CTX, respectively. Furthermore, height and weight were measured. Percentile curves were calculated using the General Additive Model for Location Scale and Shape (GAMLSS) to model the distribution of SI and CTX depending on multiple covariates while accounting for dispersion, skewness, and the kurtosis of this distribution. RESULTS: SI was negatively associated with age and height in children aged 2-5 years, whereas a positive association was observed in children aged 6-10 years. The dip in SI occurred at older age for higher SI percentiles and was observed earlier in taller children than in smaller children. The CTX reference curves showed a linear-positive association with age and height. No major sex differences were observed for the SI and CTX reference values. CONCLUSION: These reference data lay the ground to evaluate bone growth and metabolism in prepubertal children in epidemiological and clinical settings. They may also inform clinical practice to monitor skeletal development and to assess adverse drug reactions during medical treatments.

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Section: Discussioncontrasting

confidence: 56%

Section: Discussioncontrasting

confidence: 56%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reference values of bone stiffness index and C-terminal telopeptide in healthy European children

et al. 2014

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“…40 To correct for body size, bone mineral apparent density (BMAD) was calculated for the lumbar spine, 41 and measures of WB BMC/height were examined. We used the approach described by Mølgaard et al, 42 as modified by Ward et al 43 for Hologic densitometers, to determine measures of BMC for bone area (BA) and BA for height. The coefficients of variation for lumbar spine and WB BMD were 1.1% and 0.8% and those for fat and lean mass were 2.1% and 1.0%, respectively.…”

Section: Bone-density and Body-composition Measurementsmentioning

confidence: 99%

Bone Metabolism in Adolescent Athletes With Amenorrhea, Athletes With Eumenorrhea, and Control Subjects

et al. 2008

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OBJECTIVE-We hypothesized that, despite increased activity, bone density would be low in athletes with amenorrhea, compared with athletes with eumenorrhea and control subjects, because of associated hypogonadism and would be associated with a decrease in bone formation and increases in bone-resorption markers.METHODS-In a cross-sectional study, we examined bone-density measures (spine, hip, and whole body) and body composition by using dual-energy radiograph absorptiometry and assessed fasting levels of insulin-like growth factor I and bone-turnover markers (N-terminal propeptied of type 1 procollagen and N-telopeptide) in 21 athletes with amenorrhea, 18 athletes with eumenorrhea, and 18 control subjects. Subjects were 12 to 18 years of age and of comparable chronologic and bone age.RESULTS-Athletes with amenorrhea had lower bone-density z scores at the spine and whole body, compared with athletes with eumenorrhea and control subjects, and lower hip z scores, compared with athletes with eumenorrhea. Lean mass did not differ between groups. However, athletes with amenorrhea had lower BMI z scores than did athletes with eumenorrhea and lower insulin-like growth factor I levels than did control subjects. Levels of both markers of bone turnover were lower in athletes with amenorrhea than in control subjects. BMI z scores, lean mass, insulin-like growth factor I levels, and diagnostic category were important independent predictors of bone mineral density z scores.CONCLUSIONS-Although they showed no significant differences in lean mass, compared with athletes with eumenorrhea and control subjects, athletes with amenorrhea had lower bone density at the spine and whole body. Insulin-like growth factor I levels, body-composition parameters, and menstrual status were important predictors of bone density. Follow-up studies are necessary to Copyright © 2008 by the American Academy of Pediatrics. All rights reserved.Address correspondence to Madhusmita Misra, MD, MPH, Massachusetts General Hospital, Neuroendocrine Unit, BUL 457, 55 Fruit St, Boston, MA 02114. mmisra@partners.org. The authors have indicated they have no financial relationships relevant to this article to disclose.Drs Christo and Prabhakaran contributed equally to this work. NIH Public Access Author ManuscriptPediatrics. Author manuscript; available in PMC 2011 November 4. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript determine whether amenorrhea in athletes adversely affects the rate of bone mass accrual and therefore peak bone mass. Keywordsadolescents; athletes; bone density; bone-turnover markers; insulin-like growth factor I Amenorrhea has been reported to occur in 23.5% of high school athletes, 1 although the prevalence may vary depending on the type, intensity, and duration of exercise, as well as the athlete's nutritional status. [1][2][3][4] In particular, activities such as gymnastics, running track, ballet, diving, swimming, and cheerleading are common among high school girls, require a thin physique, and are as...

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Chapter 29. DXA in Adults and Children

Adams

Bishop

2008

Primer on the Metabolic Bone Diseases and Disorders of Mineral Metabolism

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UK reference data for the Hologic QDR Discovery dual-energy x ray absorptiometry scanner in healthy children and young adults aged 6-17 years

Abstract: This article provides the first sex-specific and ethnicity-specific reference databases for UK, which should allow the clinician to assess bone mineral density in paediatric patients, measured by the Hologic QDR Discovery DXA scanner.

Cited by 109 publications

References 49 publications

Reference values of bone stiffness index and C-terminal telopeptide in healthy European children

Reference values of bone stiffness index and C-terminal telopeptide in healthy European children

Bone Metabolism in Adolescent Athletes With Amenorrhea, Athletes With Eumenorrhea, and Control Subjects

Chapter 29. DXA in Adults and Children

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