Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges

Autores
Denova Gutiérrez, Edgar; Clark, Patricia; Capozza, Ricardo Francisco; Nocciolino, Laura Marcela; Ferretti, Jose Luis; Velázquez Cruz, Rafael; Rivera, Berenice; Cointry, Gustavo Roberto; Salmerón, Jorge
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The present study aims: (1) to explore the influence of lean mass (LM) on bone mineral content (BMC), (2) to investigate the pubertal influences on the BMC–LM relation, and (3) to perform Z-score charts of BMC–LM relation, stratified by gender and reproductive status categorized by age ranges. A cross-sectional analysis was conducted using 4001 healthy subjects between 7 and 90 years participating in the Health Workers Cohort Study. Of these, 720 participants were ≤ 19 years, 2417 were women ≥ 20 years, and 864 were men ≥ 20 years. Using Dual X-ray absorptiometry (DXA), we measured BMC and LM. Participants’ pubertal development was assessed according to Tanner’s stage scale. To describe BMC–LM relation, simple correlation coefficients were computed. To produce best-fit equations, an ANOVA test was conducted. Z-score graphs for the BMC–LM relation were obtained. In general, the BMC–LM correlations were linear and highly significant. For boys, curves were virtually parallel, with similar intercepts and a progressive displacement of values toward the upper-right region of the graph, for each Tanner subgroup. For girls, curves for Tanner 1-2 and 4-5 stages were parallel; but, in girls Tanner 4-5, the intercepts were significantly higher by about +300–400 g of BMC (P < 0.001). For postmenopausal women, the curve was parallel to that for the premenopausal but showed a lower intercept (P < 0.001). We provide DXA reference data on a well-characterized cohort of 4001 healthy subjects. These reference curves provide a reference value for the assessment and monitoring of bone health in all age groups included in the present study.
Fil: Denova Gutiérrez, Edgar. Instituto Nacional de Salud Pública; México
Fil: Clark, Patricia. Hospital Infantil de México Federico Gómez. Unidad de Investigación en Epidemiología Clínica; México. Universidad Nacional Autónoma de México; México
Fil: Capozza, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Nocciolino, Laura Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Ferretti, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Velázquez Cruz, Rafael. Instituto Nacional de Medicina Genómica México. Laboratorio de Genómica del Metabolismo Óseo; México
Fil: Rivera, Berenice. Universidad Nacional Autónoma de México; México
Fil: Cointry, Gustavo Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Salmerón, Jorge. Universidad Nacional Autónoma de México; México. Instituto Nacional de Salud Pública; México
Materia
BONE MINERAL CONTENT
LEAN MASS
MUSCLE–BONE RELATION
TANNER STAGE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/152322
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/152322
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age rangesDenova Gutiérrez, EdgarClark, PatriciaCapozza, Ricardo FranciscoNocciolino, Laura MarcelaFerretti, Jose LuisVelázquez Cruz, RafaelRivera, BereniceCointry, Gustavo RobertoSalmerón, JorgeBONE MINERAL CONTENTLEAN MASSMUSCLE–BONE RELATIONTANNER STAGEhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3The present study aims: (1) to explore the influence of lean mass (LM) on bone mineral content (BMC), (2) to investigate the pubertal influences on the BMC–LM relation, and (3) to perform Z-score charts of BMC–LM relation, stratified by gender and reproductive status categorized by age ranges. A cross-sectional analysis was conducted using 4001 healthy subjects between 7 and 90 years participating in the Health Workers Cohort Study. Of these, 720 participants were ≤ 19 years, 2417 were women ≥ 20 years, and 864 were men ≥ 20 years. Using Dual X-ray absorptiometry (DXA), we measured BMC and LM. Participants’ pubertal development was assessed according to Tanner’s stage scale. To describe BMC–LM relation, simple correlation coefficients were computed. To produce best-fit equations, an ANOVA test was conducted. Z-score graphs for the BMC–LM relation were obtained. In general, the BMC–LM correlations were linear and highly significant. For boys, curves were virtually parallel, with similar intercepts and a progressive displacement of values toward the upper-right region of the graph, for each Tanner subgroup. For girls, curves for Tanner 1-2 and 4-5 stages were parallel; but, in girls Tanner 4-5, the intercepts were significantly higher by about +300–400 g of BMC (P < 0.001). For postmenopausal women, the curve was parallel to that for the premenopausal but showed a lower intercept (P < 0.001). We provide DXA reference data on a well-characterized cohort of 4001 healthy subjects. These reference curves provide a reference value for the assessment and monitoring of bone health in all age groups included in the present study.Fil: Denova Gutiérrez, Edgar. Instituto Nacional de Salud Pública; MéxicoFil: Clark, Patricia. Hospital Infantil de México Federico Gómez. Unidad de Investigación en Epidemiología Clínica; México. Universidad Nacional Autónoma de México; MéxicoFil: Capozza, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; ArgentinaFil: Nocciolino, Laura Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; ArgentinaFil: Ferretti, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; ArgentinaFil: Velázquez Cruz, Rafael. Instituto Nacional de Medicina Genómica México. Laboratorio de Genómica del Metabolismo Óseo; MéxicoFil: Rivera, Berenice. Universidad Nacional Autónoma de México; MéxicoFil: Cointry, Gustavo Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; ArgentinaFil: Salmerón, Jorge. Universidad Nacional Autónoma de México; México. Instituto Nacional de Salud Pública; MéxicoSpringer Tokyo2019-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152322Denova Gutiérrez, Edgar; Clark, Patricia; Capozza, Ricardo Francisco; Nocciolino, Laura Marcela; Ferretti, Jose Luis; et al.; Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges; Springer Tokyo; Journal of Bone and Mineral Metabolism; 37; 4; 7-2019; 749-7580914-8779CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00774-018-0978-0info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00774-018-0978-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:13:21Zoai:ri.conicet.gov.ar:11336/152322instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:13:21.991CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
title Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
spellingShingle Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
Denova Gutiérrez, Edgar
BONE MINERAL CONTENT
LEAN MASS
MUSCLE–BONE RELATION
TANNER STAGE
title_short Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
title_full Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
title_fullStr Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
title_full_unstemmed Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
title_sort Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges
dc.creator.none.fl_str_mv Denova Gutiérrez, Edgar
Clark, Patricia
Capozza, Ricardo Francisco
Nocciolino, Laura Marcela
Ferretti, Jose Luis
Velázquez Cruz, Rafael
Rivera, Berenice
Cointry, Gustavo Roberto
Salmerón, Jorge
author Denova Gutiérrez, Edgar
author_facet Denova Gutiérrez, Edgar
Clark, Patricia
Capozza, Ricardo Francisco
Nocciolino, Laura Marcela
Ferretti, Jose Luis
Velázquez Cruz, Rafael
Rivera, Berenice
Cointry, Gustavo Roberto
Salmerón, Jorge
author_role author
author2 Clark, Patricia
Capozza, Ricardo Francisco
Nocciolino, Laura Marcela
Ferretti, Jose Luis
Velázquez Cruz, Rafael
Rivera, Berenice
Cointry, Gustavo Roberto
Salmerón, Jorge
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv BONE MINERAL CONTENT
LEAN MASS
MUSCLE–BONE RELATION
TANNER STAGE
topic BONE MINERAL CONTENT
LEAN MASS
MUSCLE–BONE RELATION
TANNER STAGE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The present study aims: (1) to explore the influence of lean mass (LM) on bone mineral content (BMC), (2) to investigate the pubertal influences on the BMC–LM relation, and (3) to perform Z-score charts of BMC–LM relation, stratified by gender and reproductive status categorized by age ranges. A cross-sectional analysis was conducted using 4001 healthy subjects between 7 and 90 years participating in the Health Workers Cohort Study. Of these, 720 participants were ≤ 19 years, 2417 were women ≥ 20 years, and 864 were men ≥ 20 years. Using Dual X-ray absorptiometry (DXA), we measured BMC and LM. Participants’ pubertal development was assessed according to Tanner’s stage scale. To describe BMC–LM relation, simple correlation coefficients were computed. To produce best-fit equations, an ANOVA test was conducted. Z-score graphs for the BMC–LM relation were obtained. In general, the BMC–LM correlations were linear and highly significant. For boys, curves were virtually parallel, with similar intercepts and a progressive displacement of values toward the upper-right region of the graph, for each Tanner subgroup. For girls, curves for Tanner 1-2 and 4-5 stages were parallel; but, in girls Tanner 4-5, the intercepts were significantly higher by about +300–400 g of BMC (P < 0.001). For postmenopausal women, the curve was parallel to that for the premenopausal but showed a lower intercept (P < 0.001). We provide DXA reference data on a well-characterized cohort of 4001 healthy subjects. These reference curves provide a reference value for the assessment and monitoring of bone health in all age groups included in the present study.
Fil: Denova Gutiérrez, Edgar. Instituto Nacional de Salud Pública; México
Fil: Clark, Patricia. Hospital Infantil de México Federico Gómez. Unidad de Investigación en Epidemiología Clínica; México. Universidad Nacional Autónoma de México; México
Fil: Capozza, Ricardo Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Nocciolino, Laura Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Ferretti, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Velázquez Cruz, Rafael. Instituto Nacional de Medicina Genómica México. Laboratorio de Genómica del Metabolismo Óseo; México
Fil: Rivera, Berenice. Universidad Nacional Autónoma de México; México
Fil: Cointry, Gustavo Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina
Fil: Salmerón, Jorge. Universidad Nacional Autónoma de México; México. Instituto Nacional de Salud Pública; México
description The present study aims: (1) to explore the influence of lean mass (LM) on bone mineral content (BMC), (2) to investigate the pubertal influences on the BMC–LM relation, and (3) to perform Z-score charts of BMC–LM relation, stratified by gender and reproductive status categorized by age ranges. A cross-sectional analysis was conducted using 4001 healthy subjects between 7 and 90 years participating in the Health Workers Cohort Study. Of these, 720 participants were ≤ 19 years, 2417 were women ≥ 20 years, and 864 were men ≥ 20 years. Using Dual X-ray absorptiometry (DXA), we measured BMC and LM. Participants’ pubertal development was assessed according to Tanner’s stage scale. To describe BMC–LM relation, simple correlation coefficients were computed. To produce best-fit equations, an ANOVA test was conducted. Z-score graphs for the BMC–LM relation were obtained. In general, the BMC–LM correlations were linear and highly significant. For boys, curves were virtually parallel, with similar intercepts and a progressive displacement of values toward the upper-right region of the graph, for each Tanner subgroup. For girls, curves for Tanner 1-2 and 4-5 stages were parallel; but, in girls Tanner 4-5, the intercepts were significantly higher by about +300–400 g of BMC (P < 0.001). For postmenopausal women, the curve was parallel to that for the premenopausal but showed a lower intercept (P < 0.001). We provide DXA reference data on a well-characterized cohort of 4001 healthy subjects. These reference curves provide a reference value for the assessment and monitoring of bone health in all age groups included in the present study.
publishDate 2019
dc.date.none.fl_str_mv 2019-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/152322
Denova Gutiérrez, Edgar; Clark, Patricia; Capozza, Ricardo Francisco; Nocciolino, Laura Marcela; Ferretti, Jose Luis; et al.; Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges; Springer Tokyo; Journal of Bone and Mineral Metabolism; 37; 4; 7-2019; 749-758
0914-8779
CONICET Digital
CONICET
url http://hdl.handle.net/11336/152322
identifier_str_mv Denova Gutiérrez, Edgar; Clark, Patricia; Capozza, Ricardo Francisco; Nocciolino, Laura Marcela; Ferretti, Jose Luis; et al.; Differences in the relation between bone mineral content and lean body mass according to gender and reproductive status by age ranges; Springer Tokyo; Journal of Bone and Mineral Metabolism; 37; 4; 7-2019; 749-758
0914-8779
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00774-018-0978-0
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00774-018-0978-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Tokyo
publisher.none.fl_str_mv Springer Tokyo
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.993085

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