Loading…
Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study
Objective: To investigate the relationship between bone mineral density (BMD), anthropometric characteristics, levels of biological markers for growth, bone turnover, insulin resistance and fat mass in 4-year-old Swedish children. Methods: Descriptive study with 41 children (28 boys) who had anthrop...
Saved in:
Published in: | INTERNATIONAL JOURNAL OF OBESITY 2011-04, Vol.35 (1), p.S119-S124 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573 |
---|---|
cites | cdi_FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573 |
container_end_page | S124 |
container_issue | 1 |
container_start_page | S119 |
container_title | INTERNATIONAL JOURNAL OF OBESITY |
container_volume | 35 |
creator | Tubic, B Magnusson, P Swolin-Eide, D Marild, S |
description | Objective: To investigate the relationship between bone mineral density (BMD), anthropometric characteristics, levels of biological markers for growth, bone turnover, insulin resistance and fat mass in 4-year-old Swedish children. Methods: Descriptive study with 41 children (28 boys) who had anthropometric measurements and blood samples taken and heel dual-energy X-ray absorptiometry and laser (DXL) performed. The study participants were divided into groups of normal-weight (n=28) and overweight or obese (n=13) children. Results: There was a significant difference in bone mineral content (BMC), BMD and bone mineral apparent density (BMAD) between overweight and normal-weight children. There was a significant positive correlation between BMC, BMD, BMAD and body mass index standard deviation scores (r=0.36, 0.34 and 0.29, P |
doi_str_mv | 10.1038/ijo.2011.42 |
format | article |
fullrecord | <record><control><sourceid>gale_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_gup_ub_gu_se_147316</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A254678554</galeid><sourcerecordid>A254678554</sourcerecordid><originalsourceid>FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573</originalsourceid><addsrcrecordid>eNqF099r1TAUB_AiipvTJ981KOiD6zU_mrT1bdxtOhgIzvkactvT3sy0uSYp4_4f_sGey53XTSZSSiD55KQ5fJtlzxmdMSqq9_bKzzhlbFbwB9k-K0qVy6IuH2b7VNAyp1LJvexJjFeUUikpf5ztcVZUomBsP_v5BZxJ1o9kAekaAEc_AhnsCME40sIYbVofkoX1zve2wbnBhO8QIjFji29aBr_yA6RgGzKAiVOASOxIinwNJuTetaRZWtcGGD8QQ1bW-URimto1ubZpiTItgZwdn5yezS-2C0-zR51xEZ7djAfZ5enJ1_mn_Pzzx7P50XneKCpTzlXLVAW8Ux2lddkpAdxQIyvO2qZrpRB13ZkFlA0rRcMU54hEjbytmZGlOMjybd14DatpoVfB4uXW2hur-2mlcaqfdASNTRVMoT_8pz-23460D712dtKqrFWN_O2Wr4L_MUFMerCxAefMCH6KuioVF7yoxf-lEgVXRS1RvvpLXvkpjNglREzUlcSaB9nrLeqNA23Hzqdgmk1JfcRlocpKygLV7B6FTwuDbTAFncX5Oxve3NqwBOPSMno3beIT78J3W9gEH2OAbtcpRvUmsxozqzeZ1cXma1_cXGlaDNDu7O-Q3mo7Lo09hD93vr_eyy0fTcIw7uqh2ZDbojNemz7YqC8vcE3iH1IKjkf-AsLWCMg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>861398562</pqid></control><display><type>article</type><title>Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study</title><source>Nature</source><creator>Tubic, B ; Magnusson, P ; Swolin-Eide, D ; Marild, S</creator><creatorcontrib>Tubic, B ; Magnusson, P ; Swolin-Eide, D ; Marild, S ; IDEFICS Consortium ; on behalf of the IDEFICS Consortium</creatorcontrib><description><![CDATA[Objective: To investigate the relationship between bone mineral density (BMD), anthropometric characteristics, levels of biological markers for growth, bone turnover, insulin resistance and fat mass in 4-year-old Swedish children. Methods: Descriptive study with 41 children (28 boys) who had anthropometric measurements and blood samples taken and heel dual-energy X-ray absorptiometry and laser (DXL) performed. The study participants were divided into groups of normal-weight (n=28) and overweight or obese (n=13) children. Results: There was a significant difference in bone mineral content (BMC), BMD and bone mineral apparent density (BMAD) between overweight and normal-weight children. There was a significant positive correlation between BMC, BMD, BMAD and body mass index standard deviation scores (r=0.36, 0.34 and 0.29, P<0.01, respectively), waist circumference (r=0.32, 0.30, P<0.01 and r=0.26, P<0.05, respectively) and subscapular skinfold (r=0.26, 0.25 and 0.23, P<0.05, respectively). BMC and BMD correlated significantly with the sum of skinfold measures (r=0.25 and 0.23, P<0.05, respectively). Adiponectin was significantly inversely correlated with BMC, BMD and BMAD (r=−0.41, −0.40 and −0.41, P<0.01, respectively). Adiponectin was not correlated with skinfold measures. Multiple regression analysis revealed that adiponectin was an independent determinant of BMD, BMC and BMAD. Conclusion: To our knowledge, this is the first study investigating BMD assessed by heel-DXL in relation to anthropometry and metabolic markers in 4-year-old children. Adiponectin was significantly inversely correlated with bone mass parameters. Adiponectin may have an independent role in bone development and metabolism in young children.]]></description><identifier>ISSN: 0307-0565</identifier><identifier>ISSN: 1476-5497</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/ijo.2011.42</identifier><identifier>PMID: 21483411</identifier><language>eng</language><publisher>London: Nature Publishing Group</publisher><subject>631/443/63 ; 692/53 ; 692/700/1720 ; 692/700/478/174 ; Absorptiometry ; Absorptiometry, Photon - methods ; Adiponectin ; Adiponectin - blood ; Analysis ; Anthropometry ; Biological Markers ; biomarkers ; Biomarkers - blood ; Blood ; Body Mass Index ; bone ; Bone Density ; Bone Density - physiology ; bone metabolism ; Bone mineral density ; Bones ; boys ; Child ; Child, Preschool ; Children ; Density ; descriptive studies ; Diet ; dual-energy X-ray absorptiometry ; DXL ; Epidemiology ; Female ; Health Promotion and Disease Prevention ; Humans ; Insulin Resistance ; Insulin Resistance - physiology ; Internal Medicine ; leptin ; Life Style ; Male ; MEDICIN ; MEDICINE ; Medicine & Public Health ; Metabolic Diseases ; metabolism ; methods ; mineral content ; Obesity ; Obesity - blood ; Obesity - physiopathology ; Obesity in children ; original-article ; osteocalcin ; overweight ; paediatric ; Pediatrics ; Pediatrik ; Photon ; Physical fitness ; Physiological aspects ; physiology ; physiopathology ; Pilot Projects ; Preschool ; Public Health ; regression analysis ; skeletal development ; Standard deviation ; waist circumference</subject><ispartof>INTERNATIONAL JOURNAL OF OBESITY, 2011-04, Vol.35 (1), p.S119-S124</ispartof><rights>Macmillan Publishers Limited 2011</rights><rights>COPYRIGHT 2011 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573</citedby><cites>FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,2727,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21483411$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-67969$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/147316$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Tubic, B</creatorcontrib><creatorcontrib>Magnusson, P</creatorcontrib><creatorcontrib>Swolin-Eide, D</creatorcontrib><creatorcontrib>Marild, S</creatorcontrib><creatorcontrib>IDEFICS Consortium</creatorcontrib><creatorcontrib>on behalf of the IDEFICS Consortium</creatorcontrib><title>Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study</title><title>INTERNATIONAL JOURNAL OF OBESITY</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description><![CDATA[Objective: To investigate the relationship between bone mineral density (BMD), anthropometric characteristics, levels of biological markers for growth, bone turnover, insulin resistance and fat mass in 4-year-old Swedish children. Methods: Descriptive study with 41 children (28 boys) who had anthropometric measurements and blood samples taken and heel dual-energy X-ray absorptiometry and laser (DXL) performed. The study participants were divided into groups of normal-weight (n=28) and overweight or obese (n=13) children. Results: There was a significant difference in bone mineral content (BMC), BMD and bone mineral apparent density (BMAD) between overweight and normal-weight children. There was a significant positive correlation between BMC, BMD, BMAD and body mass index standard deviation scores (r=0.36, 0.34 and 0.29, P<0.01, respectively), waist circumference (r=0.32, 0.30, P<0.01 and r=0.26, P<0.05, respectively) and subscapular skinfold (r=0.26, 0.25 and 0.23, P<0.05, respectively). BMC and BMD correlated significantly with the sum of skinfold measures (r=0.25 and 0.23, P<0.05, respectively). Adiponectin was significantly inversely correlated with BMC, BMD and BMAD (r=−0.41, −0.40 and −0.41, P<0.01, respectively). Adiponectin was not correlated with skinfold measures. Multiple regression analysis revealed that adiponectin was an independent determinant of BMD, BMC and BMAD. Conclusion: To our knowledge, this is the first study investigating BMD assessed by heel-DXL in relation to anthropometry and metabolic markers in 4-year-old children. Adiponectin was significantly inversely correlated with bone mass parameters. Adiponectin may have an independent role in bone development and metabolism in young children.]]></description><subject>631/443/63</subject><subject>692/53</subject><subject>692/700/1720</subject><subject>692/700/478/174</subject><subject>Absorptiometry</subject><subject>Absorptiometry, Photon - methods</subject><subject>Adiponectin</subject><subject>Adiponectin - blood</subject><subject>Analysis</subject><subject>Anthropometry</subject><subject>Biological Markers</subject><subject>biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood</subject><subject>Body Mass Index</subject><subject>bone</subject><subject>Bone Density</subject><subject>Bone Density - physiology</subject><subject>bone metabolism</subject><subject>Bone mineral density</subject><subject>Bones</subject><subject>boys</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Density</subject><subject>descriptive studies</subject><subject>Diet</subject><subject>dual-energy X-ray absorptiometry</subject><subject>DXL</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health Promotion and Disease Prevention</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Insulin Resistance - physiology</subject><subject>Internal Medicine</subject><subject>leptin</subject><subject>Life Style</subject><subject>Male</subject><subject>MEDICIN</subject><subject>MEDICINE</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>metabolism</subject><subject>methods</subject><subject>mineral content</subject><subject>Obesity</subject><subject>Obesity - blood</subject><subject>Obesity - physiopathology</subject><subject>Obesity in children</subject><subject>original-article</subject><subject>osteocalcin</subject><subject>overweight</subject><subject>paediatric</subject><subject>Pediatrics</subject><subject>Pediatrik</subject><subject>Photon</subject><subject>Physical fitness</subject><subject>Physiological aspects</subject><subject>physiology</subject><subject>physiopathology</subject><subject>Pilot Projects</subject><subject>Preschool</subject><subject>Public Health</subject><subject>regression analysis</subject><subject>skeletal development</subject><subject>Standard deviation</subject><subject>waist circumference</subject><issn>0307-0565</issn><issn>1476-5497</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqF099r1TAUB_AiipvTJ981KOiD6zU_mrT1bdxtOhgIzvkactvT3sy0uSYp4_4f_sGey53XTSZSSiD55KQ5fJtlzxmdMSqq9_bKzzhlbFbwB9k-K0qVy6IuH2b7VNAyp1LJvexJjFeUUikpf5ztcVZUomBsP_v5BZxJ1o9kAekaAEc_AhnsCME40sIYbVofkoX1zve2wbnBhO8QIjFji29aBr_yA6RgGzKAiVOASOxIinwNJuTetaRZWtcGGD8QQ1bW-URimto1ubZpiTItgZwdn5yezS-2C0-zR51xEZ7djAfZ5enJ1_mn_Pzzx7P50XneKCpTzlXLVAW8Ux2lddkpAdxQIyvO2qZrpRB13ZkFlA0rRcMU54hEjbytmZGlOMjybd14DatpoVfB4uXW2hur-2mlcaqfdASNTRVMoT_8pz-23460D712dtKqrFWN_O2Wr4L_MUFMerCxAefMCH6KuioVF7yoxf-lEgVXRS1RvvpLXvkpjNglREzUlcSaB9nrLeqNA23Hzqdgmk1JfcRlocpKygLV7B6FTwuDbTAFncX5Oxve3NqwBOPSMno3beIT78J3W9gEH2OAbtcpRvUmsxozqzeZ1cXma1_cXGlaDNDu7O-Q3mo7Lo09hD93vr_eyy0fTcIw7uqh2ZDbojNemz7YqC8vcE3iH1IKjkf-AsLWCMg</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Tubic, B</creator><creator>Magnusson, P</creator><creator>Swolin-Eide, D</creator><creator>Marild, S</creator><general>Nature Publishing Group</general><general>Nature Publishing Group UK</general><scope>FBQ</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>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U2</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DG8</scope><scope>F1U</scope></search><sort><creationdate>20110401</creationdate><title>Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study</title><author>Tubic, B ; Magnusson, P ; Swolin-Eide, D ; Marild, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>631/443/63</topic><topic>692/53</topic><topic>692/700/1720</topic><topic>692/700/478/174</topic><topic>Absorptiometry</topic><topic>Absorptiometry, Photon - methods</topic><topic>Adiponectin</topic><topic>Adiponectin - blood</topic><topic>Analysis</topic><topic>Anthropometry</topic><topic>Biological Markers</topic><topic>biomarkers</topic><topic>Biomarkers - blood</topic><topic>Blood</topic><topic>Body Mass Index</topic><topic>bone</topic><topic>Bone Density</topic><topic>Bone Density - physiology</topic><topic>bone metabolism</topic><topic>Bone mineral density</topic><topic>Bones</topic><topic>boys</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Density</topic><topic>descriptive studies</topic><topic>Diet</topic><topic>dual-energy X-ray absorptiometry</topic><topic>DXL</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Health Promotion and Disease Prevention</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Insulin Resistance - physiology</topic><topic>Internal Medicine</topic><topic>leptin</topic><topic>Life Style</topic><topic>Male</topic><topic>MEDICIN</topic><topic>MEDICINE</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>metabolism</topic><topic>methods</topic><topic>mineral content</topic><topic>Obesity</topic><topic>Obesity - blood</topic><topic>Obesity - physiopathology</topic><topic>Obesity in children</topic><topic>original-article</topic><topic>osteocalcin</topic><topic>overweight</topic><topic>paediatric</topic><topic>Pediatrics</topic><topic>Pediatrik</topic><topic>Photon</topic><topic>Physical fitness</topic><topic>Physiological aspects</topic><topic>physiology</topic><topic>physiopathology</topic><topic>Pilot Projects</topic><topic>Preschool</topic><topic>Public Health</topic><topic>regression analysis</topic><topic>skeletal development</topic><topic>Standard deviation</topic><topic>waist circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tubic, B</creatorcontrib><creatorcontrib>Magnusson, P</creatorcontrib><creatorcontrib>Swolin-Eide, D</creatorcontrib><creatorcontrib>Marild, S</creatorcontrib><creatorcontrib>IDEFICS Consortium</creatorcontrib><creatorcontrib>on behalf of the IDEFICS Consortium</creatorcontrib><collection>AGRIS</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>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest Biological Science Journals</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Safety Science and Risk</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Linköpings universitet</collection><collection>SWEPUB Göteborgs universitet</collection><jtitle>INTERNATIONAL JOURNAL OF OBESITY</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tubic, B</au><au>Magnusson, P</au><au>Swolin-Eide, D</au><au>Marild, S</au><aucorp>IDEFICS Consortium</aucorp><aucorp>on behalf of the IDEFICS Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study</atitle><jtitle>INTERNATIONAL JOURNAL OF OBESITY</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2011-04-01</date><risdate>2011</risdate><volume>35</volume><issue>1</issue><spage>S119</spage><epage>S124</epage><pages>S119-S124</pages><issn>0307-0565</issn><issn>1476-5497</issn><eissn>1476-5497</eissn><abstract><![CDATA[Objective: To investigate the relationship between bone mineral density (BMD), anthropometric characteristics, levels of biological markers for growth, bone turnover, insulin resistance and fat mass in 4-year-old Swedish children. Methods: Descriptive study with 41 children (28 boys) who had anthropometric measurements and blood samples taken and heel dual-energy X-ray absorptiometry and laser (DXL) performed. The study participants were divided into groups of normal-weight (n=28) and overweight or obese (n=13) children. Results: There was a significant difference in bone mineral content (BMC), BMD and bone mineral apparent density (BMAD) between overweight and normal-weight children. There was a significant positive correlation between BMC, BMD, BMAD and body mass index standard deviation scores (r=0.36, 0.34 and 0.29, P<0.01, respectively), waist circumference (r=0.32, 0.30, P<0.01 and r=0.26, P<0.05, respectively) and subscapular skinfold (r=0.26, 0.25 and 0.23, P<0.05, respectively). BMC and BMD correlated significantly with the sum of skinfold measures (r=0.25 and 0.23, P<0.05, respectively). Adiponectin was significantly inversely correlated with BMC, BMD and BMAD (r=−0.41, −0.40 and −0.41, P<0.01, respectively). Adiponectin was not correlated with skinfold measures. Multiple regression analysis revealed that adiponectin was an independent determinant of BMD, BMC and BMAD. Conclusion: To our knowledge, this is the first study investigating BMD assessed by heel-DXL in relation to anthropometry and metabolic markers in 4-year-old children. Adiponectin was significantly inversely correlated with bone mass parameters. Adiponectin may have an independent role in bone development and metabolism in young children.]]></abstract><cop>London</cop><pub>Nature Publishing Group</pub><pmid>21483411</pmid><doi>10.1038/ijo.2011.42</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0307-0565 |
ispartof | INTERNATIONAL JOURNAL OF OBESITY, 2011-04, Vol.35 (1), p.S119-S124 |
issn | 0307-0565 1476-5497 1476-5497 |
language | eng |
recordid | cdi_swepub_primary_oai_gup_ub_gu_se_147316 |
source | Nature |
subjects | 631/443/63 692/53 692/700/1720 692/700/478/174 Absorptiometry Absorptiometry, Photon - methods Adiponectin Adiponectin - blood Analysis Anthropometry Biological Markers biomarkers Biomarkers - blood Blood Body Mass Index bone Bone Density Bone Density - physiology bone metabolism Bone mineral density Bones boys Child Child, Preschool Children Density descriptive studies Diet dual-energy X-ray absorptiometry DXL Epidemiology Female Health Promotion and Disease Prevention Humans Insulin Resistance Insulin Resistance - physiology Internal Medicine leptin Life Style Male MEDICIN MEDICINE Medicine & Public Health Metabolic Diseases metabolism methods mineral content Obesity Obesity - blood Obesity - physiopathology Obesity in children original-article osteocalcin overweight paediatric Pediatrics Pediatrik Photon Physical fitness Physiological aspects physiology physiopathology Pilot Projects Preschool Public Health regression analysis skeletal development Standard deviation waist circumference |
title | Relation between bone mineral density, biological markers and anthropometric measures in 4-year-old children: a pilot study within the IDEFICS study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T02%3A32%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relation%20between%20bone%20mineral%20density,%20biological%20markers%20and%20anthropometric%20measures%20in%204-year-old%20children:%20a%20pilot%20study%20within%20the%20IDEFICS%20study&rft.jtitle=INTERNATIONAL%20JOURNAL%20OF%20OBESITY&rft.au=Tubic,%20B&rft.aucorp=IDEFICS%20Consortium&rft.date=2011-04-01&rft.volume=35&rft.issue=1&rft.spage=S119&rft.epage=S124&rft.pages=S119-S124&rft.issn=0307-0565&rft.eissn=1476-5497&rft_id=info:doi/10.1038/ijo.2011.42&rft_dat=%3Cgale_swepu%3EA254678554%3C/gale_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c605t-26d168e2f6f0097f63e2a0a5821dcfd53399fabe7c173c162297f39f6fd91a573%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=861398562&rft_id=info:pmid/21483411&rft_galeid=A254678554&rfr_iscdi=true |