Relative contributions of multiple determinants to bone mineral density in men
Summary Focus on individual risk factors for osteoporosis could allocate disproportionate attention to trivial relationships. We tested many recognized risk factors of osteoporosis for their association with bone mineral density (BMD) in multivariate models among men. Lean mass accounted for the mos...
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description | Summary Focus on individual risk factors for osteoporosis could allocate disproportionate attention to trivial relationships. We tested many recognized risk factors of osteoporosis for their association with bone mineral density (BMD) in multivariate models among men. Lean mass accounted for the most variance, with substantially less accounted for by demographic, strength, and health factors. Introduction Osteoporosis in men has gained recognition as a public health problem, generating an interest in the search for risk factors. Isolation of individual risk factors could allocate disproportionate attention to relationships that may be of limited consequence. Methods The Boston Area Community Health/Bone (BACH/Bone) Survey is a population-based study of randomly selected community-dwelling men (age, 30-79 years). BMD and lean mass were measured by dual X-ray absorptiometry. Socioeconomic status, health history, and lifestyle factors were obtained via interview. Hormone levels and markers of bone turnover were obtained from non-fasting blood samples. Multivariate analyses measured relative contributions of covariates to femoral neck (hip), one-third distal radius (wrist), and lumbar spine BMD. Results Factors positively associated with BMD in multivariate models at the three sites were black race and appendicular lean mass. Asthma was consistently negatively associated. Various other risk factors also contributed significantly to each of the individual sites. R ² values for the hip, wrist, and spine were 41%, 30%, and 24%, respectively. Lean mass accounted for the most explained variance at all three sites. Conclusions These data emphasize the limitation of focusing on individual risk factors and highlight the importance of potentially modifiable lean mass in predicting BMD. |
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R ; Araujo, A. B ; Travison, T. G ; Hall, S. A ; McKinlay, J. B</creator><creatorcontrib>Chiu, G. R ; Araujo, A. B ; Travison, T. G ; Hall, S. A ; McKinlay, J. B</creatorcontrib><description>Summary Focus on individual risk factors for osteoporosis could allocate disproportionate attention to trivial relationships. We tested many recognized risk factors of osteoporosis for their association with bone mineral density (BMD) in multivariate models among men. Lean mass accounted for the most variance, with substantially less accounted for by demographic, strength, and health factors. Introduction Osteoporosis in men has gained recognition as a public health problem, generating an interest in the search for risk factors. Isolation of individual risk factors could allocate disproportionate attention to relationships that may be of limited consequence. Methods The Boston Area Community Health/Bone (BACH/Bone) Survey is a population-based study of randomly selected community-dwelling men (age, 30-79 years). BMD and lean mass were measured by dual X-ray absorptiometry. Socioeconomic status, health history, and lifestyle factors were obtained via interview. Hormone levels and markers of bone turnover were obtained from non-fasting blood samples. Multivariate analyses measured relative contributions of covariates to femoral neck (hip), one-third distal radius (wrist), and lumbar spine BMD. Results Factors positively associated with BMD in multivariate models at the three sites were black race and appendicular lean mass. Asthma was consistently negatively associated. Various other risk factors also contributed significantly to each of the individual sites. R ² values for the hip, wrist, and spine were 41%, 30%, and 24%, respectively. Lean mass accounted for the most explained variance at all three sites. Conclusions These data emphasize the limitation of focusing on individual risk factors and highlight the importance of potentially modifiable lean mass in predicting BMD.</description><identifier>ISSN: 0937-941X</identifier><identifier>EISSN: 1433-2965</identifier><identifier>DOI: 10.1007/s00198-009-0895-0</identifier><identifier>PMID: 19319620</identifier><language>eng</language><publisher>London: London : Springer-Verlag</publisher><subject>Absorptiometry, Photon - methods ; Adult ; Aged ; Biological and medical sciences ; Biomarkers - blood ; Body Composition ; Bone density ; Bone Density - physiology ; Diseases of the osteoarticular system ; Endocrinology ; Epidemiologic Methods ; Femur Neck - physiopathology ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Life Style ; Lumbar Vertebrae - physiopathology ; Male ; Massachusetts - epidemiology ; Medical sciences ; Medicine ; Medicine & Public Health ; Men ; Middle Aged ; Original Article ; Orthopedics ; Osteoarticular system. Muscles ; Osteoporosis ; Osteoporosis - epidemiology ; Osteoporosis - etiology ; Osteoporosis - physiopathology ; Osteoporosis. Osteomalacia. Paget disease ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Radius - physiopathology ; Rheumatology ; Risk factors ; Social Class</subject><ispartof>Osteoporosis international, 2009-12, Vol.20 (12), p.2035-2047</ispartof><rights>International Osteoporosis Foundation and National Osteoporosis Foundation 2009</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c553t-a7b2c63019356d0a07849c53ee5cd12aa73be4142e04358d5113100b8291ad8c3</citedby><cites>FETCH-LOGICAL-c553t-a7b2c63019356d0a07849c53ee5cd12aa73be4142e04358d5113100b8291ad8c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00198-009-0895-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00198-009-0895-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22162667$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19319620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chiu, G. R</creatorcontrib><creatorcontrib>Araujo, A. B</creatorcontrib><creatorcontrib>Travison, T. G</creatorcontrib><creatorcontrib>Hall, S. A</creatorcontrib><creatorcontrib>McKinlay, J. B</creatorcontrib><title>Relative contributions of multiple determinants to bone mineral density in men</title><title>Osteoporosis international</title><addtitle>Osteoporos Int</addtitle><addtitle>Osteoporos Int</addtitle><description>Summary Focus on individual risk factors for osteoporosis could allocate disproportionate attention to trivial relationships. We tested many recognized risk factors of osteoporosis for their association with bone mineral density (BMD) in multivariate models among men. Lean mass accounted for the most variance, with substantially less accounted for by demographic, strength, and health factors. Introduction Osteoporosis in men has gained recognition as a public health problem, generating an interest in the search for risk factors. Isolation of individual risk factors could allocate disproportionate attention to relationships that may be of limited consequence. Methods The Boston Area Community Health/Bone (BACH/Bone) Survey is a population-based study of randomly selected community-dwelling men (age, 30-79 years). BMD and lean mass were measured by dual X-ray absorptiometry. Socioeconomic status, health history, and lifestyle factors were obtained via interview. Hormone levels and markers of bone turnover were obtained from non-fasting blood samples. Multivariate analyses measured relative contributions of covariates to femoral neck (hip), one-third distal radius (wrist), and lumbar spine BMD. Results Factors positively associated with BMD in multivariate models at the three sites were black race and appendicular lean mass. Asthma was consistently negatively associated. Various other risk factors also contributed significantly to each of the individual sites. R ² values for the hip, wrist, and spine were 41%, 30%, and 24%, respectively. Lean mass accounted for the most explained variance at all three sites. Conclusions These data emphasize the limitation of focusing on individual risk factors and highlight the importance of potentially modifiable lean mass in predicting BMD.</description><subject>Absorptiometry, Photon - methods</subject><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Body Composition</subject><subject>Bone density</subject><subject>Bone Density - physiology</subject><subject>Diseases of the osteoarticular system</subject><subject>Endocrinology</subject><subject>Epidemiologic Methods</subject><subject>Femur Neck - physiopathology</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Life Style</subject><subject>Lumbar Vertebrae - physiopathology</subject><subject>Male</subject><subject>Massachusetts - epidemiology</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Original Article</subject><subject>Orthopedics</subject><subject>Osteoarticular system. Muscles</subject><subject>Osteoporosis</subject><subject>Osteoporosis - epidemiology</subject><subject>Osteoporosis - etiology</subject><subject>Osteoporosis - physiopathology</subject><subject>Osteoporosis. Osteomalacia. Paget disease</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Radius - physiopathology</subject><subject>Rheumatology</subject><subject>Risk factors</subject><subject>Social Class</subject><issn>0937-941X</issn><issn>1433-2965</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kU9rFTEUxYMo9vn0A7jRQVBXo_kzSSYbQYrWQlFQC-5CJnPnmTKTvCaZQr-9eczQ1i66CuH-zsm5OQi9JPgDwVh-TBgT1dYYqxq3itf4EdqQhrGaKsEfow1WTNaqIX-O0LOULnDRKCWfoiOiGFGC4g36_hNGk90VVDb4HF03Zxd8qsJQTfOY3X6EqocMcXLe-JyqHKoueKjKHaIZy9Anl68r56sJ_HP0ZDBjghfruUXnX7_8Pv5Wn_04OT3-fFZbzlmujeyoFaykZ1z02GDZNspyBsBtT6gxknXQkIYCbhhve04IKxt3LVXE9K1lW_Rp8d3P3QS9hZLdjHof3WTitQ7G6f8n3v3Vu3ClactEU9y26P1qEMPlDCnrySUL42g8hDlpyZhQVAhZyHcPkpRQVfIdwDf3wIswR1--oTBt20hJeIHIAtkYUoow3GQmWB9K1UupupSqD6VqXDSv7i57q1hbLMDbFTDJmnGIxluXbjhKiVhXoQuXysjvIN4mfOj114toMEGbXSzG578oJqU9iUX5T_YPgwrC0g</recordid><startdate>20091201</startdate><enddate>20091201</enddate><creator>Chiu, G. R</creator><creator>Araujo, A. B</creator><creator>Travison, T. G</creator><creator>Hall, S. A</creator><creator>McKinlay, J. B</creator><general>London : Springer-Verlag</general><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20091201</creationdate><title>Relative contributions of multiple determinants to bone mineral density in men</title><author>Chiu, G. 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B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c553t-a7b2c63019356d0a07849c53ee5cd12aa73be4142e04358d5113100b8291ad8c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Absorptiometry, Photon - methods</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>Body Composition</topic><topic>Bone density</topic><topic>Bone Density - physiology</topic><topic>Diseases of the osteoarticular system</topic><topic>Endocrinology</topic><topic>Epidemiologic Methods</topic><topic>Femur Neck - physiopathology</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Life Style</topic><topic>Lumbar Vertebrae - physiopathology</topic><topic>Male</topic><topic>Massachusetts - epidemiology</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Men</topic><topic>Middle Aged</topic><topic>Original Article</topic><topic>Orthopedics</topic><topic>Osteoarticular system. Muscles</topic><topic>Osteoporosis</topic><topic>Osteoporosis - epidemiology</topic><topic>Osteoporosis - etiology</topic><topic>Osteoporosis - physiopathology</topic><topic>Osteoporosis. Osteomalacia. Paget disease</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Radius - physiopathology</topic><topic>Rheumatology</topic><topic>Risk factors</topic><topic>Social Class</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chiu, G. R</creatorcontrib><creatorcontrib>Araujo, A. B</creatorcontrib><creatorcontrib>Travison, T. G</creatorcontrib><creatorcontrib>Hall, S. A</creatorcontrib><creatorcontrib>McKinlay, J. B</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Osteoporosis international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chiu, G. R</au><au>Araujo, A. B</au><au>Travison, T. G</au><au>Hall, S. A</au><au>McKinlay, J. B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relative contributions of multiple determinants to bone mineral density in men</atitle><jtitle>Osteoporosis international</jtitle><stitle>Osteoporos Int</stitle><addtitle>Osteoporos Int</addtitle><date>2009-12-01</date><risdate>2009</risdate><volume>20</volume><issue>12</issue><spage>2035</spage><epage>2047</epage><pages>2035-2047</pages><issn>0937-941X</issn><eissn>1433-2965</eissn><abstract>Summary Focus on individual risk factors for osteoporosis could allocate disproportionate attention to trivial relationships. We tested many recognized risk factors of osteoporosis for their association with bone mineral density (BMD) in multivariate models among men. Lean mass accounted for the most variance, with substantially less accounted for by demographic, strength, and health factors. Introduction Osteoporosis in men has gained recognition as a public health problem, generating an interest in the search for risk factors. Isolation of individual risk factors could allocate disproportionate attention to relationships that may be of limited consequence. Methods The Boston Area Community Health/Bone (BACH/Bone) Survey is a population-based study of randomly selected community-dwelling men (age, 30-79 years). BMD and lean mass were measured by dual X-ray absorptiometry. Socioeconomic status, health history, and lifestyle factors were obtained via interview. Hormone levels and markers of bone turnover were obtained from non-fasting blood samples. Multivariate analyses measured relative contributions of covariates to femoral neck (hip), one-third distal radius (wrist), and lumbar spine BMD. Results Factors positively associated with BMD in multivariate models at the three sites were black race and appendicular lean mass. Asthma was consistently negatively associated. Various other risk factors also contributed significantly to each of the individual sites. R ² values for the hip, wrist, and spine were 41%, 30%, and 24%, respectively. Lean mass accounted for the most explained variance at all three sites. Conclusions These data emphasize the limitation of focusing on individual risk factors and highlight the importance of potentially modifiable lean mass in predicting BMD.</abstract><cop>London</cop><pub>London : Springer-Verlag</pub><pmid>19319620</pmid><doi>10.1007/s00198-009-0895-0</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Absorptiometry, Photon - methods Adult Aged Biological and medical sciences Biomarkers - blood Body Composition Bone density Bone Density - physiology Diseases of the osteoarticular system Endocrinology Epidemiologic Methods Femur Neck - physiopathology Humans Investigative techniques, diagnostic techniques (general aspects) Life Style Lumbar Vertebrae - physiopathology Male Massachusetts - epidemiology Medical sciences Medicine Medicine & Public Health Men Middle Aged Original Article Orthopedics Osteoarticular system. Muscles Osteoporosis Osteoporosis - epidemiology Osteoporosis - etiology Osteoporosis - physiopathology Osteoporosis. Osteomalacia. Paget disease Radiodiagnosis. Nmr imagery. Nmr spectrometry Radius - physiopathology Rheumatology Risk factors Social Class |
title | Relative contributions of multiple determinants to bone mineral density in men |
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