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Peng P, Clarke C, Iona A, Wright N, Yao P, Chen Y, Schmidt D, Yang L, Sun D, Stevens R, Pei P, Xu X, Yu C, Chen J, Lv J, Li L, Chen Z, Du H. Patterns and Correlates of Bone Mineral Density Parameters Measured Using Calcaneus Quantitative Ultrasound in Chinese Adults. Nutrients 2025; 17:865. [PMID: 40077736 PMCID: PMC11901691 DOI: 10.3390/nu17050865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 02/25/2025] [Accepted: 02/25/2025] [Indexed: 03/14/2025] Open
Abstract
Background: Monitoring bone mineral density (BMD) in adults is critical for early detection of osteoporosis and prevention of fracture, for which quantitative ultrasound (QUS) is a good non-invasive tool. We examined the associations of QUS measures, including stiffness index (SI) and T-score, with socio-demographic, lifestyle, and anthropometric correlates and risk of subsequent fracture. Methods: Calcaneal QUS was performed using GE's Lunar Achilles EXPII among 24,651 adults (mean age 59.5 years, 61.7% women) from the China Kadoorie Biobank study. Socio-demographic and lifestyle information was collected using an interviewer-administered electronic questionnaire, and anthropometrics were measured following standard protocols. Incidence of fracture and osteoporosis was recorded via linkage with nationwide health insurance database. Linear and Cox regression analyses were conducted, adjusting for potential confounders. Results: On average, men had higher SI (92.8 vs. 86.0) but lower T-score (-0.85 vs. -0.64) than women. In both men and women, advanced age and smoking were inversely associated with SI and T-score, while physical activity and tea drinking were positively so (p < 0.0001 for all). Except for height, all other anthropometric measures were significantly and positively associated with both BMD measures. With each SD lower SI, the risk of subsequent fracture was 26% (95% confidence interval: 10-44%) and 40% (25-57%) higher in men and women, and the corresponding associations of T-score were identical. Conclusions: Among Chinese adults, the SI and T-score provided by Achilles EXPII had similar patterns and predictive values for subsequent fracture, despite the T-score for men and women not being directly comparable because of gender-specific references used. Future studies are needed to confirm or refute the causality of relationship between lifestyle and anthropometric factors and BMD.
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Affiliation(s)
- Peng Peng
- Medical Image Center, University Hospital Macau, Macau University of Science and Technology, Macau, China
| | - Charlotte Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Andri Iona
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Neil Wright
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Pang Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yiping Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Dan Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major, Peking University, Ministry of Education, Beijing 100191, China
| | - Rebecca Stevens
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Pei Pei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major, Peking University, Ministry of Education, Beijing 100191, China
| | - Xin Xu
- Liuyang CDC, Liuyang 410300, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major, Peking University, Ministry of Education, Beijing 100191, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major, Peking University, Ministry of Education, Beijing 100191, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100083, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major, Peking University, Ministry of Education, Beijing 100191, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
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Ding W, Huang Y, Li G, Dong Y, Li X, Wu M, Song K, Li F. Higher risk of osteoporosis in adult-onset asthma than childhood-onset asthma: from genetic and prospective evidence. Osteoporos Int 2024; 35:659-668. [PMID: 38141141 DOI: 10.1007/s00198-023-07004-1] [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: 02/06/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023]
Abstract
Both COA and AOA have a genetically causal effect on osteoporosis. COA and AOA were independently associated with incident osteoporosis, and the risk was greatly higher in AOA. Besides corticosteroids, the increased risk of osteoporosis among asthma patients should be attributed to genetic susceptibility and other asthma medications. PURPOSE/INTRODUCTION Childhood-onset asthma (COA) differs with adult-onset asthma (AOA) on genetic susceptibility, severity, and co-morbidities. Whether COA or AOA is independently associated with osteoporosis is unexplored. We aimed to determine the effects of COA and AOA on osteoporosis at genetic and individual level. METHODS We used two-sample Mendelian randomization analysis to explore the causal effects of COA and AOA on osteoporosis. In the UK Biobank cohort, we included 478,289 osteoporosis-free participants at baseline (2006-2010). Participants were classified as non-asthma, COA, and AOA at recruitment. Multivariate Cox regression analysis was used to evaluate the effects of COA, AOA, and multiple asthma medications on incident osteoporosis risk. RESULTS COA and AOA were causally related to osteoporosis, with odds ratio of 1.007 (95% confidence interval (CI), 1.0003-1.0132) and 1.012 (95% CI, 1.002-1.023), respectively. Multivariate Cox regression analysis suggested that COA (hazard ratio (HR), 1.46; 95% CI, 1.32-1.61) and AOA (HR, 1.70; 95% CI, 1.61-1.80) were independently associated with incident osteoporosis, and the risk was greatly higher in AOA (HR, 1.51; 95% CI, 1.34-1.70). In addition to corticosteroids, monotherapy with leukotriene modifiers (HR, 1.70; 95% CI, 1.20-2.42), long-acting beta agonists (HR, 1.49; 95% CI, 1.18-1.87), and short-acting beta agonists (HR, 1.72; 95% CI1.01-2.93) were independently associated with a higher risk of osteoporosis. CONCLUSIONS Both COA and AOA have a genetically causal effect on osteoporosis, and the risk of osteoporosis is greatly higher in AOA. Besides corticosteroids, the increased risk of osteoporosis among asthma patients should be attributed to genetic susceptibility and other asthma medications.
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Affiliation(s)
- Weizhong Ding
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yong Huang
- Department of Orthopedics, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Guanghui Li
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yimin Dong
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiaochen Li
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Minglong Wu
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Kehan Song
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
| | - Feng Li
- Department of Orthopaedic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
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Patel H, Woods L, Teesdale-Spittle P, Dennison E. A cross-sectional study of the relationship between recreational sporting activity and calcaneal bone density in adolescents and young adults. PHYSICIAN SPORTSMED 2022; 50:218-226. [PMID: 33724899 DOI: 10.1080/00913847.2021.1903819] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Childhood and adolescence are critical periods of bone development. Sporting activity is thought to impact peak bone mass acquisition, but most studies have used dual-energy X-ray absorptiometry (DXA) to assess bone health and reported associations between bone mass and elite sporting activity. The objective of this study was instead to assess the relationship between recreational sporting activity (RSA) and another bone assessment, calcaneal quantitative ultrasound (cQUS), in adolescents and young adults. METHODS We related recreational sporting activity, assessed through a lifestyle questionnaire, to heel ultrasound bone parameters in a cohort of New Zealand students aged 16-35 years. Complete datasets with data on all relevant confounders (body mass index (BMI), pubertal timing, smoking status, and alcohol consumption) were available for 452 participants. cQUS was performed using a Lunar Achilles EX II machine to obtain bone parameters, broadband ultrasound attenuation (BUA), and speed of sound (SOS); stiffness index (SI) was derived from these measures. All descriptive statistics and statistical analyses were carried out using SPSS Statistics for Macintosh, Version 23.0 (IBM Corp., Armonk, NY, USA). Results are presented as p-values and 95% CI. RESULTS Reported lifetime sport participation declined after an individual's mid-teens. Bone cQUS parameters (SI and BUA and T-score) were all positively associated with BMI, and current physical activity (SI, SOS, BUA, T-score, and Z-score) with SI and SOS measures most strongly associated with current high impact and past recreational sporting activity (all p < 0.05). CONCLUSION Calcaneal heel ultrasound bone parameters were associated with physical activity, with SI and SOS rather than BUA more strongly related to current and past recreational sporting activity in young New Zealand adults.
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Affiliation(s)
- Hansa Patel
- School of Biological Sciences, Victoria University of Wellington, New Zealand
| | - Lisa Woods
- School of Biological Sciences, Victoria University of Wellington, New Zealand
| | | | - Elaine Dennison
- School of Biological Sciences, Victoria University of Wellington, New Zealand.,School of Biological Sciences, Victoria University of Wellington, New Zealand & MRC Lifecourse Epidemiology Unit, Southampton, UK
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Tembo MC, Mohebbi M, Holloway-Kew KL, Gaston J, Sui SX, Brennan-Olsen SL, Williams LJ, Kotowicz MA, Pasco JA. The contribution of musculoskeletal factors to physical frailty: a cross-sectional study. BMC Musculoskelet Disord 2021; 22:921. [PMID: 34724934 PMCID: PMC8561908 DOI: 10.1186/s12891-021-04795-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 10/11/2021] [Indexed: 11/17/2022] Open
Abstract
Background Musculoskeletal conditions and physical frailty have overlapping constructs. We aimed to quantify individual contributions of musculoskeletal factors to frailty. Methods Participants included 347 men and 360 women aged ≥60 yr (median ages; 70.8 (66.1–78.6) and 71.0 (65.2–77.5), respectively) from the Geelong Osteoporosis Study. Frailty was defined as ≥3, pre-frail 1–2, and robust 0, of the following; unintentional weight loss, weakness, low physical activity, exhaustion, and slowness. Measures were made of femoral neck BMD, appendicular lean mass index (ALMI, kg/m2) and whole-body fat mass index (FMI, kg/m2) by DXA (Lunar), SOS, BUA and SI at the calcaneus (Lunar Achilles Insight) and handgrip strength by dynamometers. Binary and ordinal logistic regression models and AUROC curves were used to quantify the contribution of musculoskeletal parameters to frailty. Potential confounders included anthropometry, smoking, alcohol, prior fracture, FMI, SES and comorbidities. Results Overall, 54(15.6%) men and 62(17.2%) women were frail. In adjusted-binary logistic models, SI, ALMI and HGS were associated with frailty in men (OR = 0.73, 95%CI 0.53–1.01; OR=0.48, 0.34–0.68; and OR = 0.11, 0.06–0.22; respectively). Muscle measures (ALMI and HGS) contributed more to this association than did bone (SI) (AUROCs 0.77, 0.85 vs 0.71, respectively). In women, only HGS was associated with frailty in adjusted models (OR = 0.30 95%CI 0.20–0.45, AUROC = 0.83). In adjusted ordinal models, similar results were observed in men; for women, HGS and ALMI were associated with frailty (ordered OR = 0.30 95%CI 0.20–0.45; OR = 0.56, 0.40–0.80, respectively). Conclusion Muscle deficits appeared to contribute more than bone deficits to frailty. This may have implications for identifying potential musculoskeletal targets for preventing or managing the progression of frailty. Supplementary Information The online version contains supplementary material available at 10.1186/s12891-021-04795-4.
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Affiliation(s)
- Monica C Tembo
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.
| | - Mohammadreza Mohebbi
- Faculty of Health, Biostatistics Unit, Deakin University, Geelong, VIC, Australia
| | - Kara L Holloway-Kew
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - James Gaston
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Sophia X Sui
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Sharon L Brennan-Olsen
- School of Health and Social Development, Deakin University, Waterfront Geelong Campus, Geelong, VIC, Australia.,Institute for Health Transformation, Deakin University, Waterfront Geelong Campus, Geelong, VIC, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne, St Albans, VIC, Australia
| | - Lana J Williams
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia
| | - Mark A Kotowicz
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Barwon Health, Geelong, VIC, Australia
| | - Julie A Pasco
- Epi-Centre for Healthy Ageing, IMPACT - The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.,Department of Medicine-Western Health, The University of Melbourne, St Albans, VIC, Australia.,Barwon Health, Geelong, VIC, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Cleminson JR, Stuart AL, Pasco JA, Hodge JM, Berk M, Samarasinghe RM, Williams LJ. Dietary tryptophan and bone health: a cross-sectional, population-based study. Arch Osteoporos 2020; 15:167. [PMID: 33083938 DOI: 10.1007/s11657-020-00838-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 10/05/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED Tryptophan metabolites influence bone. We aimed to investigate the relationship between dietary tryptophan and bone health in a population-based sample of men and women. Following adjustment for age, dietary tryptophan was not associated with bone quantity or quality, suggesting a non-critical role of superfluous tryptophan on the skeleton. PURPOSE Tryptophan metabolites, such as serotonin, influence bone. We sought to determine the relationship between dietary intake of tryptophan and bone health in a population-based study of men and women. METHODS Participants (1033 women and 900 men, aged 20-98 years) enrolled in the Geelong Osteoporosis Study (GOS) were investigated. Dietary information was collected using a validated questionnaire. Tryptophan levels were calculated (mg/day) in accordance with Food Standards Australia and New Zealand and dichotomised according to the median. Bone mineral density (BMD; g/cm2) was measured at the spine (postero-anterior projection) and total hip using dual-energy X-ray absorptiometry. Stiffness index (SI), broadband ultrasound attenuation (BUA) and speed of sound (SOS) were derived from quantitative heel ultrasound. Linear regression models were used to test associations between dietary tryptophan and bone health, after adjustment for potential confounders. RESULTS Tryptophan intakes ranged from 112 to 3796 mg/day (median 1035) in men and 115-2869 mg/day (median 885) in women. In men older than 45 years and women, a high tryptophan intake was associated with greater hip BMD compared to participants with a low tryptophan intake (p = 0.002 and p = 0.04, respectively); however, these relationships were attenuated by age (all p > 0.05). Participants with high tryptophan intake had greater BUA and SI compared to participants with low tryptophan intake (men; BUA, p = 0.02 and SI, p = 0.02, and women; BUA, p = 0.03 and SI, p = 0.08), yet also attenuated by age (all p > 0.05). CONCLUSION No association was found between tryptophan intake and bone health in this population, which suggests a non-critical role of superfluous tryptophan consumption on the skeleton.
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Affiliation(s)
- Jasmine R Cleminson
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.
| | - Amanda L Stuart
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia
| | - Julie A Pasco
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Department of Medicine-Western Health, Western Centre for Health Research & Education (WCHRE) Building, The University of Melbourne, Level 3/176 Furlong Road, St Albans, Victoria, 3021, Australia.,Barwon Health, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria, 3004, Australia
| | - Jason M Hodge
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Barwon Health, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Geelong Centre for Emerging Infectious Diseases, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia
| | - Michael Berk
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Barwon Health, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Department of Psychiatry, The Florey Institute for Neuroscience and Mental Health, The National Centre of Excellence in Youth Mental Health, Royal Melbourne Hospital, University of Melbourne, Royal Parade, Parkville, Victoria, 3052, Australia.,Orygen, 35 Poplar Rd, Parkville, Victoria, 3052, Australia
| | - Rasika M Samarasinghe
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia
| | - Lana J Williams
- School of Medicine, IMPACT, Institute for Innovation in Physical and Mental Health and Clinical Translation, Deakin University, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia.,Barwon Health, University Hospital Geelong, 285 Ryrie Street, Geelong, Victoria, 3220, Australia
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Lavado-Garcia JM, Moran JM, Roncero-Martin R, Calderon-Garcia JF, Pedrera-Canal M, Rodriguez-Dominguez T, Fernandez-Fernandez P, Pedrera-Zamorano JD. Quantitative ultrasound measurements of the calcaneus and hand phalanges in elderly Spanish men: relationship with peripheral bone mineral density of the hand phalanges. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2014; 33:1279-1285. [PMID: 24958415 DOI: 10.7863/ultra.33.7.1279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVES The aims of this pilot study were to describe quantitative ultrasound (US) measurements and peripheral bone mineral density (BMD) of the hand phalanges on dual-energy x-ray absorptiometry and to examine the correlations between them in elderly Spanish men. METHODS We studied 199 healthy men (mean age ± SD, 73.31 ± 5.10 years). The participants were not taking any medications, and they reported no diseases, including diseases that are associated with abnormalities in mineral metabolism. Phalangeal and calcaneal quantitative US measurements and phalangeal BMD measurements were performed in all participants. RESULTS A bivariate correlation analysis showed no association between quantitative US assessments at the phalanges or the calcaneus (P = .409). After adjustment for potential confounders, the correlation between phalangeal BMD and phalangeal quantitative US measurements was r = 0.417 (P < .0001), and the correlation for calcaneal quantitative US was r = 0.26 (P = .001). Further adjustment by percentage of body fat increased quantitative US correlations with phalangeal BMD: r = 0.450 (P < .0001) at the phalanges; r = 0.291 (P = .001) at the calcaneus. CONCLUSIONS There is a small correlation between quantitative US measurements at the calcaneus and phalangeal BMD that increases to a moderate level with quantitative US measurements at the phalanges in elderly Spanish men.
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Affiliation(s)
| | - Jose M Moran
- Metabolic Bone Diseases Research Group, University of Extremadura, Cáceres, Spain
| | - Raul Roncero-Martin
- Metabolic Bone Diseases Research Group, University of Extremadura, Cáceres, Spain
| | | | - Maria Pedrera-Canal
- Metabolic Bone Diseases Research Group, University of Extremadura, Cáceres, Spain
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