1
|
Kalkwarf HJ, Shepherd JA, Fan B, Sahay RD, Ittenbach RF, Kelly A, Yolton K, Zemel BS. Reference Ranges for Bone Mineral Content and Density by Dual Energy X-Ray Absorptiometry for Young Children. J Clin Endocrinol Metab 2022; 107:e3887-e3900. [PMID: 35587453 PMCID: PMC9387715 DOI: 10.1210/clinem/dgac323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Assessment of bone health in young children has been hampered by limited reference values for bone mineral content (BMC) and areal bone mineral density (aBMD) by dual energy X-ray absorptiometry (DXA). OBJECTIVES To identify age, sex, and population ancestry effects on BMC and aBMD and develop smoothed reference ranges for BMC and aBMD in young children. To quantify precision of bone measurements and influence of height-for-age Z-scores on bone Z-scores. METHODS We recruited 484 healthy children ages 1 to 2 years or 4.5 to 5 years at 2 clinical centers, who were seen once or up to 7 times over a 3-year period. Lumbar spine, distal forearm, and whole-body subtotal (ages ≥ 3 years) BMC and aBMD were measured by DXA. These data were combined with data from the Bone Mineral Density in Childhood Study from children ages 5 to 8.9 years to create the smoothed reference curves. RESULTS For 1- to 5-year-olds, BMC and aBMD at all skeletal sites increased with age. Age trends differed by sex for BMC and aBMD of the spine, distal one-third radius, ultradistal radius, and by ancestry (Black vs non-Black) for all measures. BMC and aBMD precision (% coefficient of variation) ranged from 1.0% to 4.4%. Height Z-scores were positively associated with bone Z-scores and accounted for 4% to 45% of the variance. CONCLUSIONS We demonstrate the feasibility of bone density measurements in young children and provide robust reference ranges and stature adjustments for calculation of bone Z-scores at multiple skeletal sites to enable bone health assessments.
Collapse
Affiliation(s)
- Heidi J Kalkwarf
- Correspondence: Heidi J. Kalkwarf, PhD, Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children’s Hospital Medical Center, ML-2010, 3333 Burnet Ave, Cincinnati OH, 45229, USA.
| | | | - Bo Fan
- University of California, San Francisco, San Francisco, CA, USA
| | - Rashmi D Sahay
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Richard F Ittenbach
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Andrea Kelly
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kimberly Yolton
- Division of General and Community Pediatrics, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Babette S Zemel
- Division of Gastroenterology, Hepatology and Nutrition, The Children’s Hospital of Philadelphia, Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
2
|
New Horizons for Hydroxyapatite Supported by DXA Assessment-A Preliminary Study. MATERIALS 2022; 15:ma15030942. [PMID: 35160888 PMCID: PMC8839981 DOI: 10.3390/ma15030942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/11/2022] [Accepted: 01/21/2022] [Indexed: 12/10/2022]
Abstract
Dual Energy X-ray Absorptiometry (DXA) is a tool that allows the assessment of bone density. It was first presented by Cameron and Sorenson in 1963 and was approved by the Food and Drug Administration. Misplacing the femoral neck box, placing a trochanteric line below the midland and improper placement of boundary lines are the most common errors made during a DXA diagnostic test made by auto analysis. Hydroxyapatite is the most important inorganic component of teeth and bone tissue. It is estimated to constitute up to 70% of human bone weight and up to 50% of its volume. Calcium phosphate comes in many forms; however, studies have shown that only tricalcium phosphate and hydroxyapatite have the characteristics that allow their use as bone-substituted materials. The purpose of this study is aimed at analyzing the results of hip densitometry and hydorxyapatite distribution in order to better assess the structure and mineral density of the femoral neck. However, a detailed analysis of the individual density curves shows some qualitative differences that may be important in assessing bone strength in the area under study. To draw more specific conclusions on the therapy applied for individual patients, we need to determine the correct orientation of the bone from the resulting density and document the trends in the density distribution change. The average results presented with the DXA method are insufficient.
Collapse
|
3
|
Khalatbari H, Binkovitz LA, Parisi MT. Dual-energy X-ray absorptiometry bone densitometry in pediatrics: a practical review and update. Pediatr Radiol 2021; 51:25-39. [PMID: 32857206 DOI: 10.1007/s00247-020-04756-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/13/2020] [Accepted: 06/15/2020] [Indexed: 12/18/2022]
Abstract
The assessment of pediatric bone mineral content and density is an evolving field. In this manuscript we provide a practical review and update on the interpretation of dual-energy X-ray absorptiometry (DXA) in pediatrics including historical perspectives as well as a discussion of the recently published 2019 Official Position Statements of the International Society of Clinical Densitometry (ISCD) that apply to children.
Collapse
Affiliation(s)
- Hedieh Khalatbari
- Department of Radiology, Seattle Children's Hospital, University of Washington School of Medicine, 4800 Sand Point Way NE, Seattle, WA, 98105, USA.
| | - Larry A Binkovitz
- Department of Radiology, Divisions of Pediatric Radiology and Nuclear Medicine, Mayo Clinic Graduate School of Medicine, Rochester, MN, USA
| | - Marguerite T Parisi
- Department of Radiology, Seattle Children's Hospital, University of Washington School of Medicine, 4800 Sand Point Way NE, Seattle, WA, 98105, USA.,Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WA, USA
| |
Collapse
|
4
|
Huang R, Li F, Zhou Y, Zeng Z, He X, Fang L, Pan F, Chen Y, Lin J, Li J, Qiu D, Tian Y, Tan X, Song Y, Xu Y, Lai Y, Yi H, Gao Q, Fang X, Shi M, Zhou C, Huang J, He YT. Metagenome-wide association study of the alterations in the intestinal microbiome composition of ankylosing spondylitis patients and the effect of traditional and herbal treatment. J Med Microbiol 2020; 69:797-805. [PMID: 31778109 PMCID: PMC7451032 DOI: 10.1099/jmm.0.001107] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 10/23/2019] [Indexed: 01/07/2023] Open
Abstract
Introduction. Ankylosing spondylitis (AS) is a systemic progressive disease with an unknown etiology that may be related to the gut microbiome. Therefore, a more thorough understanding of its pathogenesis is necessary for directing future therapy.Aim. We aimed to determine the differences in intestinal microbial composition between healthy individuals and patients with AS who received and who did not receive treatment interventions. In parallel, the pathology of AS in each patient was analysed to better understand the link between AS treatment and the intestinal microbiota of the patients.Methodology. Sixty-six faecal DNA samples, including 37 from healthy controls (HCs), 11 from patients with untreated AS (NM), 7 from patients treated with nonsteroidal anti-inflammatory drugs (e.g. celecoxib; WM) and 11 from patients treated with Chinese herbal medicine (CHM), such as the Bushen-Qiangdu-Zhilv decoction, were collected and used in the drug effect analysis. All samples were sequenced using Illumina HiSeq 4000 and the microbial composition was determined.Results. Four species were enriched in the patients with AS: Flavonifractor plautii, Oscillibacter, Parabacteroides distasonis and Bacteroides nordii (HC vs. NM, P<0.05); only F. plautii was found to be significantly changed in the NM-HC comparison. No additional species were found in the HC vs. CHM analysis, which indicated a beneficial effect of CHM in removing the other three strains. F. plautii was found to be significantly increased in the comparison between the HC and WM groups, along with four other species (Clostridium bolteae, Clostridiales bacterium 1_7_47FAA, C. asparagiforme and C. hathewayi). The patients with AS harboured more bacterial species associated with carbohydrate metabolism and glycan biosynthesis in their faeces. They also had bacterial profiles less able to biodegrade xenobiotics or synthesize and transport vitamins.Conclusion. The gut microbiota of the patients with AS varied from that of the HCs, and the treatment had an impact on this divergence. Our data provide insight that could guide improvements in AS treatment.
Collapse
Affiliation(s)
- RunYue Huang
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Fang Li
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yingyan Zhou
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
- Postdoctoral Mobile Research Station, Guangzhou 510006, PR China
| | - Zhenhua Zeng
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Xiaohong He
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Lihua Fang
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Feng Pan
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yile Chen
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Jiehua Lin
- Nephropathy Center, The Affiliated Jiangmen TCM Hospital, Jinan University, Jiangmen 529000, PR China
| | - Jie Li
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Dongni Qiu
- Department of Traditional Chinese Medicine, Guangdong Armed Police Corps Hospital, Guangzhou 510507, PR China
| | - Yinping Tian
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Xi Tan
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yanni Song
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yongyue Xu
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yonghui Lai
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Hao Yi
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Qiang Gao
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Xiaodong Fang
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Mingming Shi
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Chu Zhou
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Jinqun Huang
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| | - Yi-Ting He
- The Second Affiliated Hospital, Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou 510120 or 510006, PR China
| |
Collapse
|
5
|
Kelly A, Shults J, Mostoufi-Moab S, McCormack SE, Stallings VA, Schall JI, Kalkwarf HJ, Lappe JM, Gilsanz V, Oberfield SE, Shepherd JA, Winer KK, Leonard MB, Zemel BS. Pediatric Bone Mineral Accrual Z-Score Calculation Equations and Their Application in Childhood Disease. J Bone Miner Res 2019; 34:195-203. [PMID: 30372552 PMCID: PMC7794655 DOI: 10.1002/jbmr.3589] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 08/25/2018] [Accepted: 09/10/2018] [Indexed: 12/30/2022]
Abstract
Annual gains in BMC and areal bone mineral density (aBMD) in children vary with age, pubertal status, height-velocity, and lean body mass accrual (LBM velocity). Evaluating bone accrual in children with bone health-threatening conditions requires consideration of these determinants. The objective of this study was to develop prediction equations for calculating BMC/aBMD velocity SD scores (velocity-Z) and to evaluate bone accrual in youth with health conditions. Bone and body compositions via DXA were obtained for up to six annual intervals in healthy youth (n = 2014) enrolled in the Bone Mineral Density in Childhood Study (BMDCS) . Longitudinal statistical methods were used to develop sex- and pubertal-status-specific reference equations for calculating velocity-Z for total body less head-BMC and lumbar spine (LS), total hip (TotHip), femoral neck, and 1/3-radius aBMD. Equations accounted for (1) height velocity, (2) height velocity and weight velocity, or (3) height velocity and LBM velocity. These equations were then applied to observational, single-center, 12-month longitudinal data from youth with cystic fibrosis (CF; n = 65), acute lymphoblastic leukemia (ALL) survivors (n = 45), or Crohn disease (CD) initiating infliximab (n = 72). Associations between BMC/aBMD-Z change (conventional pediatric bone health monitoring method) and BMC/aBMD velocity-Z were assessed. The BMC/aBMD velocity-Z for CF, ALL, and CD was compared with BMDCS. Annual changes in the BMC/aBMD-Z and the BMC/aBMD velocity-Z were strongly correlated, but not equivalent; LS aBMD-Z = 1 equated with LS aBMD velocity-Z = -3. In CF, BMC/aBMD velocity-Z was normal. In posttherapy ALL, BMC/aBMD velocity-Z was increased, particularly at TotHip (1.01 [-.047; 1.7], p < 0.0001). In CD, BMC/aBMD velocity-Z was increased at all skeletal sites. LBM-velocity adjustment attenuated these increases (eg, TotHip aBMD velocity-Z: 1.13 [0.004; 2.34] versus 1.52 [0.3; 2.85], p < 0.0001). Methods for quantifying the BMC/aBMD velocity that account for maturation and body composition changes provide a framework for evaluating childhood bone accretion and may provide insight into mechanisms contributing to altered accrual in chronic childhood conditions. © 2018 American Society for Bone and Mineral Research.
Collapse
Affiliation(s)
- Andrea Kelly
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Justine Shults
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sogol Mostoufi-Moab
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Shana E McCormack
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Virginia A Stallings
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Joan I Schall
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Heidi J Kalkwarf
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Joan M Lappe
- College of Nursing, Creighton University, Omaha, NE, USA
| | - Vicente Gilsanz
- Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - John A Shepherd
- Bioengineering, University of California-San Francisco, San Francisco, CA, USA
| | - Karen K Winer
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Mary B Leonard
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,Department of Pediatrics, Stanford School of Medicine, Palo Alto, CA, USA
| | - Babette S Zemel
- Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
6
|
Klomsten Andersen O, Clarsen B, Garthe I, Mørland M, Stensrud T. Bone health in elite Norwegian endurance cyclists and runners: a cross-sectional study. BMJ Open Sport Exerc Med 2018; 4:e000449. [PMID: 30687513 PMCID: PMC6326301 DOI: 10.1136/bmjsem-2018-000449] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/25/2018] [Indexed: 01/17/2023] Open
Abstract
Background Athletes who compete in non-weight-bearing activities such as swimming and cycling are at risk of developing low bone mineral density (BMD). Athletes in long-distance running are at risk of low BMD. Objective (1) To evaluate the bone health in Norwegian male and female national elite road cyclists and middle-distance and long-distance runners, and to identify cases of low BMD. (2) To identify possible risk factors associated with low BMD. Methods Twenty-one runners (11 females and 10 males) and 19 road cyclists (7 females and 12 males) were enrolled in this cross-sectional study. Dual-energy X-ray absorptiometry measurement of BMD in total body, femoral neck and lumbar spine was measured. Participants completed a questionnaire regarding training, injuries, calcium intake and health variables. Results The cyclists had lower BMD for all measured sites compared with the runners (p≤0.05). Ten of 19 cyclists were classified as having low BMD according to American College of Sports Medicine criteria (Z-score ≤−1), despite reporting to train heavy resistance training on the lower extremities. Low BMD was site specific having occurred in the lumbar spine and the femoral neck and was not confined to females. Type of sport was the only factor significantly associated with low BMD. Conclusion National elite Norwegian road cyclists had lower BMD compared with runners, and a large proportion was classified as having low BMD, despite having performed heavy resistance training. Interventions to increase BMD in this population should be considered.
Collapse
Affiliation(s)
| | - Benjamin Clarsen
- The Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway.,Norwegian Olympic Training Centre, Oslo, Norway
| | - Ina Garthe
- Norwegian Olympic Training Centre, Oslo, Norway
| | | | - Trine Stensrud
- The Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| |
Collapse
|
7
|
Di Iorgi N, Maruca K, Patti G, Mora S. Update on bone density measurements and their interpretation in children and adolescents. Best Pract Res Clin Endocrinol Metab 2018; 32:477-498. [PMID: 30086870 DOI: 10.1016/j.beem.2018.06.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Following the increased awareness about the central role of the pediatric age in building bone for life, clinicians face more than ever the necessity of assessing bone health in pediatric subjects at risk for early bone mass derangements or in healthy children, in order to optimize their bone mass accrual and prevent osteoporosis. Although the diagnosis of osteoporosis is not made solely upon bone mineral density measurements during growth, such determination can be very useful in the follow-up of pediatric patients with primary and secondary osteoporosis. The ideal instrument would give information on the mineral content and density of the bone, and on its architecture. It should be able to perform the measurements on the skeletal sites where fractures are more frequent, and it should be minimally invasive, accurate, precise and rapid. Unfortunately, none of the techniques currently utilized fulfills all requirements. In the present review, we focus on the pediatric use of dual-energy X-ray absorptiometry (DXA), quantitative computed tomography (QCT), peripheral QCT (pQCT), and magnetic resonance imaging (MRI), highlighting advantages and limits for their use and providing indications for bone densitometry interpretation and of vertebral fractures diagnosis in pediatric subjects.
Collapse
Affiliation(s)
- Natascia Di Iorgi
- Department of Pediatrics, Istituto Giannina Gaslini, University of Genova, Genova, Italy.
| | - Katia Maruca
- Pediatric Bone Densitormetry Service and Laboratory of Pediatric Endocrinology, IRCCS San Raffaele Institute, Milano, Italy
| | - Giuseppa Patti
- Department of Pediatrics, Istituto Giannina Gaslini, University of Genova, Genova, Italy
| | - Stefano Mora
- Pediatric Bone Densitormetry Service and Laboratory of Pediatric Endocrinology, IRCCS San Raffaele Institute, Milano, Italy.
| |
Collapse
|
8
|
Abstract
Identifying children most susceptible to clinically significant fragility fractures (low trauma fractures or vertebral compression fractures) or recurrent fractures is an important issue facing general pediatricians and subspecialists alike. Over the last decade, several imaging technologies, including dual-energy X-ray absorptiometry and peripheral quantitative computed tomography, have become useful to identify abnormal bone mineralization in children and in adolescents. This review aimed to summarize the latest literature on the utility of these modalities as they pertain to use in pediatrics. In addition, we review several disease states associated with poor bone health and increased fracture risk in children, and discuss the implications of low bone mineral density in these patients. Finally, we will highlight the gaps in knowledge with regard to pediatric bone health and make recommendations for future areas of research.
Collapse
Affiliation(s)
- Halley Wasserman
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Catherine M Gordon
- Divisions of Adolescent Medicine and Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| |
Collapse
|
9
|
Weaver CM, Gordon CM, Janz KF, Kalkwarf HJ, Lappe JM, Lewis R, O'Karma M, Wallace TC, Zemel BS. The National Osteoporosis Foundation's position statement on peak bone mass development and lifestyle factors: a systematic review and implementation recommendations. Osteoporos Int 2016; 27:1281-1386. [PMID: 26856587 PMCID: PMC4791473 DOI: 10.1007/s00198-015-3440-3] [Citation(s) in RCA: 722] [Impact Index Per Article: 90.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 11/10/2015] [Indexed: 12/21/2022]
Abstract
Lifestyle choices influence 20-40 % of adult peak bone mass. Therefore, optimization of lifestyle factors known to influence peak bone mass and strength is an important strategy aimed at reducing risk of osteoporosis or low bone mass later in life. The National Osteoporosis Foundation has issued this scientific statement to provide evidence-based guidance and a national implementation strategy for the purpose of helping individuals achieve maximal peak bone mass early in life. In this scientific statement, we (1) report the results of an evidence-based review of the literature since 2000 on factors that influence achieving the full genetic potential for skeletal mass; (2) recommend lifestyle choices that promote maximal bone health throughout the lifespan; (3) outline a research agenda to address current gaps; and (4) identify implementation strategies. We conducted a systematic review of the role of individual nutrients, food patterns, special issues, contraceptives, and physical activity on bone mass and strength development in youth. An evidence grading system was applied to describe the strength of available evidence on these individual modifiable lifestyle factors that may (or may not) influence the development of peak bone mass (Table 1). A summary of the grades for each of these factors is given below. We describe the underpinning biology of these relationships as well as other factors for which a systematic review approach was not possible. Articles published since 2000, all of which followed the report by Heaney et al. [1] published in that year, were considered for this scientific statement. This current review is a systematic update of the previous review conducted by the National Osteoporosis Foundation [1]. [Table: see text] Considering the evidence-based literature review, we recommend lifestyle choices that promote maximal bone health from childhood through young to late adolescence and outline a research agenda to address current gaps in knowledge. The best evidence (grade A) is available for positive effects of calcium intake and physical activity, especially during the late childhood and peripubertal years-a critical period for bone accretion. Good evidence is also available for a role of vitamin D and dairy consumption and a detriment of DMPA injections. However, more rigorous trial data on many other lifestyle choices are needed and this need is outlined in our research agenda. Implementation strategies for lifestyle modifications to promote development of peak bone mass and strength within one's genetic potential require a multisectored (i.e., family, schools, healthcare systems) approach.
Collapse
Affiliation(s)
- C M Weaver
- Department of Nutritional Sciences, Women's Global Health Institute, Purdue University, 700 W. State Street, West Lafayette, IN, 47907, USA
| | - C M Gordon
- Division of Adolescent and Transition Medicine, Cincinnati Children's Hospital, 3333 Burnet Avenue, MLC 4000, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45267, USA
| | - K F Janz
- Departments of Health and Human Physiology and Epidemiology, University of Iowa, 130 E FH, Iowa City, IA, 52242, USA
| | - H J Kalkwarf
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 7035, Cincinnati, OH, 45229, USA
| | - J M Lappe
- Schools of Nursing and Medicine, Creighton University, 601 N. 30th Street, Omaha, NE, 68131, USA
| | - R Lewis
- Department of Foods and Nutrition, University of Georgia, Dawson Hall, Athens, GA, 30602, USA
| | - M O'Karma
- The Children's Hospital of Philadelphia Research Institute, 3535 Market Street, Room 1560, Philadelphia, PA, 19104, USA
| | - T C Wallace
- Department of Nutrition and Food Studies, George Mason University, MS 1 F8, 10340 Democracy Lane, Fairfax, VA, 22030, USA.
- National Osteoporosis Foundation, 1150 17th Street NW, Suite 850, Washington, DC, 20036, USA.
- National Osteoporosis Foundation, 251 18th Street South, Suite 630, Arlington, VA, 22202, USA.
| | - B S Zemel
- University of Pennsylvania Perelman School of Medicine, 3535 Market Street, Room 1560, Philadelphia, PA, 19104, USA
- Division of Gastroenterology, Hepatology, and Nutrition, The Children's Hospital of Philadelphia, 3535 Market Street, Room 1560, Philadelphia, PA, 19104, USA
| |
Collapse
|
10
|
Short DF, Gilsanz V, Kalkwarf HJ, Lappe JM, Oberfield S, Shepherd JA, Winer KK, Zemel BS, Hangartner TN. Anthropometric models of bone mineral content and areal bone mineral density based on the bone mineral density in childhood study. Osteoporos Int 2015; 26:1099-108. [PMID: 25311106 PMCID: PMC4768717 DOI: 10.1007/s00198-014-2916-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2014] [Accepted: 09/24/2014] [Indexed: 10/24/2022]
Abstract
UNLABELLED New models describing anthropometrically adjusted normal values of bone mineral density and content in children have been created for the various measurement sites. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters. INTRODUCTION Previous descriptions of children's bone mineral measurements by age have focused on segmenting diverse populations by race and sex without adjusting for anthropometric variables or have included the effects of a single anthropometric variable. METHODS We applied multivariate semi-metric smoothing to the various pediatric bone-measurement sites using data from the Bone Mineral Density in Childhood Study to evaluate which of sex, race, age, height, weight, percent body fat, and sexual maturity explain variations in the population's bone mineral values. By balancing high adjusted R(2) values with clinical needs, two models are examined. RESULTS At the spine, whole body, whole body sub head, total hip, hip neck, and forearm sites, models were created using sex, race, age, height, and weight as well as an additional set of models containing these anthropometric variables and percent body fat. For bone mineral density, weight is more important than percent body fat, which is more important than height. For bone mineral content, the order varied by site with body fat being the weakest component. Including more anthropometrics in the model reduces the overlap of the critical groups, identified as those individuals with a Z-score below -2, from the standard sex, race, and age model. CONCLUSIONS If body fat is not available, the simpler model including height and weight should be used. The inclusion of multiple explanatory variables in the models provides the opportunity to calculate Z-scores that are adjusted with respect to the relevant anthropometric parameters.
Collapse
Affiliation(s)
- D F Short
- Wright State University, Dayton, OH, USA,
| | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Fan B, Shepherd JA, Levine MA, Steinberg D, Wacker W, Barden HS, Ergun D, Wu XP. National Health and Nutrition Examination Survey whole-body dual-energy X-ray absorptiometry reference data for GE Lunar systems. J Clin Densitom 2014; 17:344-77. [PMID: 24161789 DOI: 10.1016/j.jocd.2013.08.019] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Accepted: 08/14/2013] [Indexed: 10/26/2022]
Abstract
The National Health and Nutrition Examination Survey (NHANES 1999-2004) includes adult and pediatric comparisons for total body bone and body composition results. Because dual-energy x-ray absorptiometry (DXA) measurements from different manufacturers are not standardized, NHANES reference values currently are applicable only to a single make and model of Hologic DXA system. The purpose of this study was to derive body composition reference curves for GE Healthcare Lunar DXA systems. Published values from the NHANES 1999-2004 survey were acquired from the Centers for Disease Control and Prevention website. Using previously reported cross-calibration equations between Hologic and GE-Lunar, we converted the total body and regional bone and soft-tissue measurements from NHANES 1999-2004 to GE-Lunar values. The LMS (LmsChartMaker Pro Version 3.5) curve fitting method was used to generate GE-Lunar reference curves. Separate curves were generated for each sex and ethnicity. The reference curves were also divided into pediatric (≤20 years old) and adult (>20 years old) groups. Adult reference curves were derived as a function of age. Additional relationships of pediatric DXA values were derived as a function of height, lean mass, and bone area. Robustness was tested between Hologic and GE-Lunar Z-score values. The NHANES 1999-2004 survey included a sample of 20,672 participants' (9630 female) DXA scans. A total of 8056 participants were younger than 20 yr and were included in the pediatric reference data set. Participants enrolled in the study who weighed more than 136 kg (over scanner table limit) were excluded. The average Z-scores comparing the new GE-Lunar reference curves are close to zero, and the standard deviation of the Z-scores are close to one for all variables. As expected, all measurements on the GE-Lunar reference curves for participants younger than 20 yr increase monotonically with age. In the adult population, most of the curves are constant at younger age and drop moderately as age increases. We have presented NHANES reference curves applicable to DXA whole-body scans acquired on GE Healthcare Lunar systems by age, sex and ethnicity. Users of GE Healthcare GE-Lunar DXA systems can now benefit from the large body composition reference data set collected in the NHANES 1999-2004 study.
Collapse
Affiliation(s)
- Bo Fan
- Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, CA, USA.
| | - John A Shepherd
- Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, CA, USA
| | - Michael A Levine
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA, USA and Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Dee Steinberg
- Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, CA, USA
| | | | | | | | - Xin P Wu
- Institute of Metabolism and Endocrinology, Second Xiang-Ya Hospital, Central South University, Changsha, China
| |
Collapse
|
12
|
Osteopenia in Gaucher disease develops early in life: response to imiglucerase enzyme therapy in children, adolescents and adults. Blood Cells Mol Dis 2010; 46:66-72. [PMID: 21112800 DOI: 10.1016/j.bcmd.2010.10.011] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2010] [Revised: 10/10/2010] [Accepted: 10/10/2010] [Indexed: 11/22/2022]
Abstract
BACKGROUND In Gaucher disease (GD), acid-β-glucosidase (GBA1) gene mutations result in defective glucocerebrosidase and variable combinations of hematological, visceral, and diverse bone disease. Osteopenia is highly prevalent, but its age of onset during the natural course of GD is not known. It is also unclear if the degree of improvement in osteopenia, secondary to imiglucerase enzyme therapy, differs by the age of the patient. OBJECTIVE We hypothesized that osteopenia develops early in life, during the natural course of type 1 Gaucher disease (GD1), and that its response to treatment is maximal during this period. METHODS We examined data from the International Collaborative Gaucher Group (ICGG) Gaucher Registry of patients treated with imiglucerase between the ages of 5 and 50 years. Lumbar spine bone mineral density (BMD) (determined by dual-energy X-ray absorptiometry (DXA) and expressed as Z-scores) at baseline and for up to 10 years on imiglucerase were analyzed in children (ages ≥ 5 to <12 years), adolescents (≥ 12 to <20 years), young adults (≥ 20 to < 30 years), and older adults (≥ 30 to < 50 years). BMD was correlated with other disease characteristics. Pre-treatment, descriptive statistics were applied to 5-year age categories. Non-linear mixed effects regression models were used to analyze DXA Z-scores over time after treatment with imiglucerase. RESULTS Pre-treatment, low BMD was prevalent in all age groups, most strikingly in adolescents. DXA Z-scores were at or below -1 in 44% of children (n=43), 76% of adolescents (n=41), 54% of young adults (n=56) and 52% of older adults (n=171). The most common GBA1 genotype was N370S heteroallelic. Baseline hematological and visceral manifestations in the 4 age groups were similar. In children with DXA Z-scores ≤-1 at baseline, imiglucerase therapy for 6 years resulted in improvement of mean DXA Z-scores from -1.38 (95% CI -1.73 to -1.03) to -0.73 (95% CI -1.25 to -0.21); in young adults DXA Z-scores improved from -1.95 (95% CI -2.26 to -1.64) to -0.67 (95% CI -1.09 to -0.26). BMD also improved in older adults, but the magnitude of the improvement was lower compared to younger patients. CONCLUSIONS Low bone density is common in GD1 with the highest prevalence rate in adolescence, a developmental period critical to attainment of peak bone mass. Imiglucerase results in amelioration of osteopenia in all age groups, with the greatest improvements in younger patients.
Collapse
|