Mechanisms linking childhood weight status to metabolic risk in adolescence

Background Obesity is a risk factor for insulin resistance (IR) and metabolic disease. Objective To examine potential metabolic pathways linking childhood weight status to adolescent IR and metabolic risk. Methods Participants were 600 low‐ to middle‐income Chilean adolescents from a cohort studied...

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Veröffentlicht in:Pediatric diabetes 2020-03, Vol.21 (2), p.203-209
Hauptverfasser: Martinez, Suzanna M., Blanco, Estela, Burrows, Raquel, Lozoff, Betsy, Gahagan, Sheila
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container_end_page 209
container_issue 2
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container_title Pediatric diabetes
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creator Martinez, Suzanna M.
Blanco, Estela
Burrows, Raquel
Lozoff, Betsy
Gahagan, Sheila
description Background Obesity is a risk factor for insulin resistance (IR) and metabolic disease. Objective To examine potential metabolic pathways linking childhood weight status to adolescent IR and metabolic risk. Methods Participants were 600 low‐ to middle‐income Chilean adolescents from a cohort studied since infancy as part of an iron deficiency anemia preventive trial and follow‐up study. We examined body mass index z‐score at 10 y (BMIz‐10y) and blood pressure, total fat, and fasting glucose, adiponectin to leptin ratio (A:L), ghrelin, and HOMA‐IR at 16 y. A total count for metabolic risk factors (MRF) was calculated using the International Diabetes Federation criteria. We used path analysis to estimate pathways and model indirect effects from BMIz‐10y, controlling for child age and sex and maternal body mass index (BMI). Results Participants were 54% male; mean BMIz‐10y of 0.53 (SD = 1.02); mean MRF of 1.3 (SD = 0.9); mean HOMA‐IR of 1.8 (SD = 1.3). Path analysis showed that BMIz‐10y directly and indirectly related to increased MRF via A:L and HOMA‐IR. Ghrelin was not in the metabolic pathway from BMIz‐10y to MRF but was related to MRF via HOMA‐IR. Conclusion These results elucidate metabolic pathways involving child weight status, IR and metabolic risk in adolescents. Childhood BMI was an indirect risk factor for adolescent cardiometabolic risk via several pathways that involved BMI, appetite hormones, markers of inflammation, and insulin resistance during adolescence. Findings illustrate the adverse effect that childhood obesity has on adolescent health outcomes, which sets precedence for health outcomes over the life course.
doi_str_mv 10.1111/pedi.12972
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Objective To examine potential metabolic pathways linking childhood weight status to adolescent IR and metabolic risk. Methods Participants were 600 low‐ to middle‐income Chilean adolescents from a cohort studied since infancy as part of an iron deficiency anemia preventive trial and follow‐up study. We examined body mass index z‐score at 10 y (BMIz‐10y) and blood pressure, total fat, and fasting glucose, adiponectin to leptin ratio (A:L), ghrelin, and HOMA‐IR at 16 y. A total count for metabolic risk factors (MRF) was calculated using the International Diabetes Federation criteria. We used path analysis to estimate pathways and model indirect effects from BMIz‐10y, controlling for child age and sex and maternal body mass index (BMI). Results Participants were 54% male; mean BMIz‐10y of 0.53 (SD = 1.02); mean MRF of 1.3 (SD = 0.9); mean HOMA‐IR of 1.8 (SD = 1.3). Path analysis showed that BMIz‐10y directly and indirectly related to increased MRF via A:L and HOMA‐IR. Ghrelin was not in the metabolic pathway from BMIz‐10y to MRF but was related to MRF via HOMA‐IR. Conclusion These results elucidate metabolic pathways involving child weight status, IR and metabolic risk in adolescents. Childhood BMI was an indirect risk factor for adolescent cardiometabolic risk via several pathways that involved BMI, appetite hormones, markers of inflammation, and insulin resistance during adolescence. Findings illustrate the adverse effect that childhood obesity has on adolescent health outcomes, which sets precedence for health outcomes over the life course.</description><identifier>ISSN: 1399-543X</identifier><identifier>EISSN: 1399-5448</identifier><identifier>DOI: 10.1111/pedi.12972</identifier><identifier>PMID: 31885187</identifier><language>eng</language><publisher>Former Munksgaard: John Wiley &amp; Sons A/S</publisher><subject>Adipokines - blood ; Adiponectin ; Adolescence ; Adolescent ; Adolescents ; Appetite ; Blood pressure ; Body mass index ; Child ; Child development ; Child, Preschool ; Childhood ; Children ; Cohort Studies ; Diabetes mellitus ; Disease resistance ; Female ; Ghrelin ; Ghrelin - blood ; hormones ; Humans ; Insulin ; Insulin Resistance ; Iron deficiency ; Leptin ; Male ; Metabolic disorders ; Metabolic pathways ; metabolic risk ; Metabolic Syndrome - blood ; Metabolic Syndrome - etiology ; Metabolism ; Nutrient deficiency ; Obesity ; Pediatric Obesity - blood ; Pediatric Obesity - complications ; Risk factors ; Teenagers ; weight status</subject><ispartof>Pediatric diabetes, 2020-03, Vol.21 (2), p.203-209</ispartof><rights>2019 John Wiley &amp; Sons A/S. Published by John Wiley &amp; Sons Ltd</rights><rights>2019 John Wiley &amp; Sons A/S. Published by John Wiley &amp; Sons Ltd.</rights><rights>2020 John Wiley &amp; Sons A/S. 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Objective To examine potential metabolic pathways linking childhood weight status to adolescent IR and metabolic risk. Methods Participants were 600 low‐ to middle‐income Chilean adolescents from a cohort studied since infancy as part of an iron deficiency anemia preventive trial and follow‐up study. We examined body mass index z‐score at 10 y (BMIz‐10y) and blood pressure, total fat, and fasting glucose, adiponectin to leptin ratio (A:L), ghrelin, and HOMA‐IR at 16 y. A total count for metabolic risk factors (MRF) was calculated using the International Diabetes Federation criteria. We used path analysis to estimate pathways and model indirect effects from BMIz‐10y, controlling for child age and sex and maternal body mass index (BMI). Results Participants were 54% male; mean BMIz‐10y of 0.53 (SD = 1.02); mean MRF of 1.3 (SD = 0.9); mean HOMA‐IR of 1.8 (SD = 1.3). Path analysis showed that BMIz‐10y directly and indirectly related to increased MRF via A:L and HOMA‐IR. Ghrelin was not in the metabolic pathway from BMIz‐10y to MRF but was related to MRF via HOMA‐IR. Conclusion These results elucidate metabolic pathways involving child weight status, IR and metabolic risk in adolescents. Childhood BMI was an indirect risk factor for adolescent cardiometabolic risk via several pathways that involved BMI, appetite hormones, markers of inflammation, and insulin resistance during adolescence. Findings illustrate the adverse effect that childhood obesity has on adolescent health outcomes, which sets precedence for health outcomes over the life course.</description><subject>Adipokines - blood</subject><subject>Adiponectin</subject><subject>Adolescence</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Appetite</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Child</subject><subject>Child development</subject><subject>Child, Preschool</subject><subject>Childhood</subject><subject>Children</subject><subject>Cohort Studies</subject><subject>Diabetes mellitus</subject><subject>Disease resistance</subject><subject>Female</subject><subject>Ghrelin</subject><subject>Ghrelin - blood</subject><subject>hormones</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin Resistance</subject><subject>Iron deficiency</subject><subject>Leptin</subject><subject>Male</subject><subject>Metabolic disorders</subject><subject>Metabolic pathways</subject><subject>metabolic risk</subject><subject>Metabolic Syndrome - blood</subject><subject>Metabolic Syndrome - etiology</subject><subject>Metabolism</subject><subject>Nutrient deficiency</subject><subject>Obesity</subject><subject>Pediatric Obesity - blood</subject><subject>Pediatric Obesity - complications</subject><subject>Risk factors</subject><subject>Teenagers</subject><subject>weight status</subject><issn>1399-543X</issn><issn>1399-5448</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AQQBdRbK1e_AGy4EWE1N3M5usotWpR0YOCt7DZTJptk2zNJpT-e1NTe_DgXGYOj8fwCDnnbMy7uVlhqsfcjQL3gAw5RJHjCREe7m_4HJATaxeM8SACcUwGwMPQ42EwJE8vqHJZaVtaWuhqqas5Vbku0tyYlK5Rz_OG2kY2raWNoSU2MjGFVrTWdkl1RWVqCrQKK4Wn5CiThcWz3R6Rj_vp--TReX59mE1unx0FEbhOKALGXRYBZx4DV6bCk56QfiBChVmAmCgmAVgiBA-yLEtQyMQH5UqQUehzGJGr3ruqzVeLtolL3X1QFLJC09rYBeACQvC9Dr38gy5MW1fddx3lsYgFArbC655StbG2xixe1bqU9SbmLN4mjreJ45_EHXyxU7ZJieke_W3aAbwH1rrAzT-q-G16N-ul30aJhX8</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Martinez, Suzanna M.</creator><creator>Blanco, Estela</creator><creator>Burrows, Raquel</creator><creator>Lozoff, Betsy</creator><creator>Gahagan, Sheila</creator><general>John Wiley &amp; 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric diabetes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martinez, Suzanna M.</au><au>Blanco, Estela</au><au>Burrows, Raquel</au><au>Lozoff, Betsy</au><au>Gahagan, Sheila</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanisms linking childhood weight status to metabolic risk in adolescence</atitle><jtitle>Pediatric diabetes</jtitle><addtitle>Pediatr Diabetes</addtitle><date>2020-03</date><risdate>2020</risdate><volume>21</volume><issue>2</issue><spage>203</spage><epage>209</epage><pages>203-209</pages><issn>1399-543X</issn><eissn>1399-5448</eissn><abstract>Background Obesity is a risk factor for insulin resistance (IR) and metabolic disease. Objective To examine potential metabolic pathways linking childhood weight status to adolescent IR and metabolic risk. Methods Participants were 600 low‐ to middle‐income Chilean adolescents from a cohort studied since infancy as part of an iron deficiency anemia preventive trial and follow‐up study. We examined body mass index z‐score at 10 y (BMIz‐10y) and blood pressure, total fat, and fasting glucose, adiponectin to leptin ratio (A:L), ghrelin, and HOMA‐IR at 16 y. A total count for metabolic risk factors (MRF) was calculated using the International Diabetes Federation criteria. We used path analysis to estimate pathways and model indirect effects from BMIz‐10y, controlling for child age and sex and maternal body mass index (BMI). Results Participants were 54% male; mean BMIz‐10y of 0.53 (SD = 1.02); mean MRF of 1.3 (SD = 0.9); mean HOMA‐IR of 1.8 (SD = 1.3). Path analysis showed that BMIz‐10y directly and indirectly related to increased MRF via A:L and HOMA‐IR. Ghrelin was not in the metabolic pathway from BMIz‐10y to MRF but was related to MRF via HOMA‐IR. Conclusion These results elucidate metabolic pathways involving child weight status, IR and metabolic risk in adolescents. Childhood BMI was an indirect risk factor for adolescent cardiometabolic risk via several pathways that involved BMI, appetite hormones, markers of inflammation, and insulin resistance during adolescence. Findings illustrate the adverse effect that childhood obesity has on adolescent health outcomes, which sets precedence for health outcomes over the life course.</abstract><cop>Former Munksgaard</cop><pub>John Wiley &amp; Sons A/S</pub><pmid>31885187</pmid><doi>10.1111/pedi.12972</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-7864-1391</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adipokines - blood
Adiponectin
Adolescence
Adolescent
Adolescents
Appetite
Blood pressure
Body mass index
Child
Child development
Child, Preschool
Childhood
Children
Cohort Studies
Diabetes mellitus
Disease resistance
Female
Ghrelin
Ghrelin - blood
hormones
Humans
Insulin
Insulin Resistance
Iron deficiency
Leptin
Male
Metabolic disorders
Metabolic pathways
metabolic risk
Metabolic Syndrome - blood
Metabolic Syndrome - etiology
Metabolism
Nutrient deficiency
Obesity
Pediatric Obesity - blood
Pediatric Obesity - complications
Risk factors
Teenagers
weight status
title Mechanisms linking childhood weight status to metabolic risk in adolescence
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