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Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study
Summary Objective The objective of this study was to assess genetic and phenotypic correlations of obesity‐related cardiometabolic risk factors in a family‐based cohort. Methods Anthropometric, body composition and biochemical measurements were collected on 999 members of 111 extended Midwestern US...
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| Published in: | Pediatric obesity 2014-06, Vol.9 (3), p.e58-e62 |
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| container_end_page | e62 |
| container_issue | 3 |
| container_start_page | e58 |
| container_title | Pediatric obesity |
| container_volume | 9 |
| creator | Ali, O. Cerjak, D. Kent Jr, J. W. James, R. Blangero, J. Zhang, Y. |
| description | Summary
Objective
The objective of this study was to assess genetic and phenotypic correlations of obesity‐related cardiometabolic risk factors in a family‐based cohort.
Methods
Anthropometric, body composition and biochemical measurements were collected on 999 members of 111 extended Midwestern US families of Northern European origin. Forward stepwise regression was used to identify which of Tanner stage, sex, Tanner stage by sex, body fat mass index, body fat percentage (dual‐energy X‐ray absorptiometry), visceral fat (VF)/subcutaneous fat (SubQF) (computed tomography scans for adults or magnetic resonance imaging for children), VF, SubQF, body mass index (BMI)% and waist to height ratio most influence homeostasis model assessment (HOMA), high‐density lipoprotein cholesterol (HDL‐c), plasma triglycerides (TG) and low‐density lipoprotein cholesterol (LDL‐c).
Results
In children and adolescents, subcutaneous adiposity was the most significant covariate for HOMA (P |
| doi_str_mv | 10.1111/j.2047-6310.2014.218.x |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4114214</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1524343010</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5328-395a962dd4289d5fda7b1fed3e972af95cf97235f2c30f6d2901027c56b3193c3</originalsourceid><addsrcrecordid>eNqNkUtv1DAUhSMEolXpX6gssWFBBr89AQmpKlBaKgYECImN5fhBPU3iwU7ayb_HYYYIWHE3vrr-zrGvTlGcILhAuZ6tFxhSUXKSBxgiusBoudjeKw7n8f25h_igOE5pDXNxiDikD4sDTLkQAuLDol3VNvl-fAq07fqoGqCM34RpBFRngFbR-NDaXtWh8RpEn26AU7oPMQHfAX3tGxNt9wtWJjQ2TUbpOVAZa30zlrVK1oDUD2Z8VDxwqkn2eH8eFV_evP589ra8Wp1fnJ1elZoRvCxJxVTFsTEULyvDnFGiRs4aYiuBlauYdrkhzGFNoOMGVxBBLDTjNUEV0eSoeLnz3Qx1a81-NbmJvlVxlEF5-fdN56_l93ArKUIUI5oNnuwNYvgx2NTL1ufFmkZ1NgxJIoYpoSQ_m9HH_6DrMMQur5cpTgVlGOJM8R2lY0gpWjd_BkE5hSrXckpMTunJKVSZQ5XbLDz5c5VZ9jvCDLzYAXe-seN_2sqLyw-r3GV1uVP71NvtrFbxRnJBBJNf35_LT6_Eu0v87WN2-QlJqL-6</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1564745202</pqid></control><display><type>article</type><title>Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Ali, O. ; Cerjak, D. ; Kent Jr, J. W. ; James, R. ; Blangero, J. ; Zhang, Y.</creator><creatorcontrib>Ali, O. ; Cerjak, D. ; Kent Jr, J. W. ; James, R. ; Blangero, J. ; Zhang, Y.</creatorcontrib><description>Summary
Objective
The objective of this study was to assess genetic and phenotypic correlations of obesity‐related cardiometabolic risk factors in a family‐based cohort.
Methods
Anthropometric, body composition and biochemical measurements were collected on 999 members of 111 extended Midwestern US families of Northern European origin. Forward stepwise regression was used to identify which of Tanner stage, sex, Tanner stage by sex, body fat mass index, body fat percentage (dual‐energy X‐ray absorptiometry), visceral fat (VF)/subcutaneous fat (SubQF) (computed tomography scans for adults or magnetic resonance imaging for children), VF, SubQF, body mass index (BMI)% and waist to height ratio most influence homeostasis model assessment (HOMA), high‐density lipoprotein cholesterol (HDL‐c), plasma triglycerides (TG) and low‐density lipoprotein cholesterol (LDL‐c).
Results
In children and adolescents, subcutaneous adiposity was the most significant covariate for HOMA (P < 0.001) and TG (P = 0.001), and BMI percentile for HDL‐c (P = 0.002) and LDL‐c (P < 0.001). In adults, waist–height ratio (P < 0.001), VF/SubQF ratio (P = 0.001) and BMI (P = 0.02) were most significant for HOMA; VF (P < 0.001) and BMI (P = 0.02) for TG and VF for LDL‐c (P = 0.001).
Conclusion
Subcutaneous adiposity at the waist is a more significant predictor of metabolic syndrome traits in children and adolescents than it is in adults.</description><identifier>ISSN: 2047-6302</identifier><identifier>ISSN: 2047-6310</identifier><identifier>EISSN: 2047-6310</identifier><identifier>DOI: 10.1111/j.2047-6310.2014.218.x</identifier><identifier>PMID: 24677702</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adolescent obesity ; Adult ; Body Composition ; Body fat ; Body Mass Index ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - etiology ; Cardiovascular Diseases - prevention & control ; central adiposity ; Child ; Childrens health ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Cohort Studies ; dyslipidaemia ; Female ; Humans ; Insulin Resistance ; Low density lipoprotein ; Male ; Metabolic Syndrome - epidemiology ; Metabolic Syndrome - etiology ; Metabolic Syndrome - prevention & control ; Obesity ; Obesity, Abdominal - complications ; Obesity, Abdominal - epidemiology ; Obesity, Abdominal - prevention & control ; Pediatrics ; Phenotype ; Predictive Value of Tests ; Risk Assessment ; Risk Factors ; Teenagers ; Triglycerides - blood ; Waist Circumference ; White People - statistics & numerical data</subject><ispartof>Pediatric obesity, 2014-06, Vol.9 (3), p.e58-e62</ispartof><rights>2014 The Authors. Pediatric Obesity © 2014 International Association for the Study of Obesity</rights><rights>2014 The Authors. Pediatric Obesity © 2014 International Association for the Study of Obesity.</rights><rights>Pediatric Obesity © 2014 World Obesity</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5328-395a962dd4289d5fda7b1fed3e972af95cf97235f2c30f6d2901027c56b3193c3</citedby><cites>FETCH-LOGICAL-c5328-395a962dd4289d5fda7b1fed3e972af95cf97235f2c30f6d2901027c56b3193c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24677702$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ali, O.</creatorcontrib><creatorcontrib>Cerjak, D.</creatorcontrib><creatorcontrib>Kent Jr, J. W.</creatorcontrib><creatorcontrib>James, R.</creatorcontrib><creatorcontrib>Blangero, J.</creatorcontrib><creatorcontrib>Zhang, Y.</creatorcontrib><title>Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study</title><title>Pediatric obesity</title><addtitle>Pediatric Obesity</addtitle><description>Summary
Objective
The objective of this study was to assess genetic and phenotypic correlations of obesity‐related cardiometabolic risk factors in a family‐based cohort.
Methods
Anthropometric, body composition and biochemical measurements were collected on 999 members of 111 extended Midwestern US families of Northern European origin. Forward stepwise regression was used to identify which of Tanner stage, sex, Tanner stage by sex, body fat mass index, body fat percentage (dual‐energy X‐ray absorptiometry), visceral fat (VF)/subcutaneous fat (SubQF) (computed tomography scans for adults or magnetic resonance imaging for children), VF, SubQF, body mass index (BMI)% and waist to height ratio most influence homeostasis model assessment (HOMA), high‐density lipoprotein cholesterol (HDL‐c), plasma triglycerides (TG) and low‐density lipoprotein cholesterol (LDL‐c).
Results
In children and adolescents, subcutaneous adiposity was the most significant covariate for HOMA (P < 0.001) and TG (P = 0.001), and BMI percentile for HDL‐c (P = 0.002) and LDL‐c (P < 0.001). In adults, waist–height ratio (P < 0.001), VF/SubQF ratio (P = 0.001) and BMI (P = 0.02) were most significant for HOMA; VF (P < 0.001) and BMI (P = 0.02) for TG and VF for LDL‐c (P = 0.001).
Conclusion
Subcutaneous adiposity at the waist is a more significant predictor of metabolic syndrome traits in children and adolescents than it is in adults.</description><subject>Adolescent</subject><subject>Adolescent obesity</subject><subject>Adult</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Cardiovascular Diseases - prevention & control</subject><subject>central adiposity</subject><subject>Child</subject><subject>Childrens health</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Cohort Studies</subject><subject>dyslipidaemia</subject><subject>Female</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Low density lipoprotein</subject><subject>Male</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolic Syndrome - prevention & control</subject><subject>Obesity</subject><subject>Obesity, Abdominal - complications</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Obesity, Abdominal - prevention & control</subject><subject>Pediatrics</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Teenagers</subject><subject>Triglycerides - blood</subject><subject>Waist Circumference</subject><subject>White People - statistics & numerical data</subject><issn>2047-6302</issn><issn>2047-6310</issn><issn>2047-6310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkUtv1DAUhSMEolXpX6gssWFBBr89AQmpKlBaKgYECImN5fhBPU3iwU7ayb_HYYYIWHE3vrr-zrGvTlGcILhAuZ6tFxhSUXKSBxgiusBoudjeKw7n8f25h_igOE5pDXNxiDikD4sDTLkQAuLDol3VNvl-fAq07fqoGqCM34RpBFRngFbR-NDaXtWh8RpEn26AU7oPMQHfAX3tGxNt9wtWJjQ2TUbpOVAZa30zlrVK1oDUD2Z8VDxwqkn2eH8eFV_evP589ra8Wp1fnJ1elZoRvCxJxVTFsTEULyvDnFGiRs4aYiuBlauYdrkhzGFNoOMGVxBBLDTjNUEV0eSoeLnz3Qx1a81-NbmJvlVxlEF5-fdN56_l93ArKUIUI5oNnuwNYvgx2NTL1ufFmkZ1NgxJIoYpoSQ_m9HH_6DrMMQur5cpTgVlGOJM8R2lY0gpWjd_BkE5hSrXckpMTunJKVSZQ5XbLDz5c5VZ9jvCDLzYAXe-seN_2sqLyw-r3GV1uVP71NvtrFbxRnJBBJNf35_LT6_Eu0v87WN2-QlJqL-6</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Ali, O.</creator><creator>Cerjak, D.</creator><creator>Kent Jr, J. W.</creator><creator>James, R.</creator><creator>Blangero, J.</creator><creator>Zhang, Y.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</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>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201406</creationdate><title>Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study</title><author>Ali, O. ; Cerjak, D. ; Kent Jr, J. W. ; James, R. ; Blangero, J. ; Zhang, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5328-395a962dd4289d5fda7b1fed3e972af95cf97235f2c30f6d2901027c56b3193c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adolescent obesity</topic><topic>Adult</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Cardiovascular Diseases - epidemiology</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Cardiovascular Diseases - prevention & control</topic><topic>central adiposity</topic><topic>Child</topic><topic>Childrens health</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Cohort Studies</topic><topic>dyslipidaemia</topic><topic>Female</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Low density lipoprotein</topic><topic>Male</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic Syndrome - etiology</topic><topic>Metabolic Syndrome - prevention & control</topic><topic>Obesity</topic><topic>Obesity, Abdominal - complications</topic><topic>Obesity, Abdominal - epidemiology</topic><topic>Obesity, Abdominal - prevention & control</topic><topic>Pediatrics</topic><topic>Phenotype</topic><topic>Predictive Value of Tests</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Teenagers</topic><topic>Triglycerides - blood</topic><topic>Waist Circumference</topic><topic>White People - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ali, O.</creatorcontrib><creatorcontrib>Cerjak, D.</creatorcontrib><creatorcontrib>Kent Jr, J. W.</creatorcontrib><creatorcontrib>James, R.</creatorcontrib><creatorcontrib>Blangero, J.</creatorcontrib><creatorcontrib>Zhang, Y.</creatorcontrib><collection>Istex</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 Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pediatric obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ali, O.</au><au>Cerjak, D.</au><au>Kent Jr, J. W.</au><au>James, R.</au><au>Blangero, J.</au><au>Zhang, Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study</atitle><jtitle>Pediatric obesity</jtitle><addtitle>Pediatric Obesity</addtitle><date>2014-06</date><risdate>2014</risdate><volume>9</volume><issue>3</issue><spage>e58</spage><epage>e62</epage><pages>e58-e62</pages><issn>2047-6302</issn><issn>2047-6310</issn><eissn>2047-6310</eissn><abstract>Summary
Objective
The objective of this study was to assess genetic and phenotypic correlations of obesity‐related cardiometabolic risk factors in a family‐based cohort.
Methods
Anthropometric, body composition and biochemical measurements were collected on 999 members of 111 extended Midwestern US families of Northern European origin. Forward stepwise regression was used to identify which of Tanner stage, sex, Tanner stage by sex, body fat mass index, body fat percentage (dual‐energy X‐ray absorptiometry), visceral fat (VF)/subcutaneous fat (SubQF) (computed tomography scans for adults or magnetic resonance imaging for children), VF, SubQF, body mass index (BMI)% and waist to height ratio most influence homeostasis model assessment (HOMA), high‐density lipoprotein cholesterol (HDL‐c), plasma triglycerides (TG) and low‐density lipoprotein cholesterol (LDL‐c).
Results
In children and adolescents, subcutaneous adiposity was the most significant covariate for HOMA (P < 0.001) and TG (P = 0.001), and BMI percentile for HDL‐c (P = 0.002) and LDL‐c (P < 0.001). In adults, waist–height ratio (P < 0.001), VF/SubQF ratio (P = 0.001) and BMI (P = 0.02) were most significant for HOMA; VF (P < 0.001) and BMI (P = 0.02) for TG and VF for LDL‐c (P = 0.001).
Conclusion
Subcutaneous adiposity at the waist is a more significant predictor of metabolic syndrome traits in children and adolescents than it is in adults.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>24677702</pmid><doi>10.1111/j.2047-6310.2014.218.x</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 2047-6302 |
| ispartof | Pediatric obesity, 2014-06, Vol.9 (3), p.e58-e62 |
| issn | 2047-6302 2047-6310 2047-6310 |
| language | eng |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Adolescent Adolescent obesity Adult Body Composition Body fat Body Mass Index Cardiovascular Diseases - epidemiology Cardiovascular Diseases - etiology Cardiovascular Diseases - prevention & control central adiposity Child Childrens health Cholesterol Cholesterol, HDL - blood Cholesterol, LDL - blood Cohort Studies dyslipidaemia Female Humans Insulin Resistance Low density lipoprotein Male Metabolic Syndrome - epidemiology Metabolic Syndrome - etiology Metabolic Syndrome - prevention & control Obesity Obesity, Abdominal - complications Obesity, Abdominal - epidemiology Obesity, Abdominal - prevention & control Pediatrics Phenotype Predictive Value of Tests Risk Assessment Risk Factors Teenagers Triglycerides - blood Waist Circumference White People - statistics & numerical data |
| title | Obesity, central adiposity and cardiometabolic risk factors in children and adolescents: a family-based study |
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