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Pádua ECR, Daher S, Sampaio IDPC, Araujo Júnior E, Guazzelli CF. Evaluation of the Blood Level of Adiponectin in Pregnant Adolescents. REVISTA BRASILEIRA DE GINECOLOGIA E OBSTETRÍCIA 2021; 43:429-435. [PMID: 34077989 PMCID: PMC10411129 DOI: 10.1055/s-0041-1730288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 02/18/2021] [Indexed: 10/20/2022] Open
Abstract
OBJECTIVE To evaluate serum levels of adiponectin in pregnant adolescents between 30 and 36 weeks of gestation. METHOD A prospective cross-sectional study enrolled 67 normal pregnant women between 30 and 36 weeks of gestation and eutrophic (body mass index [BMI]: 18.5-25 kg/m2), of which 36 were adolescents (< 20 years old) and 31 adults (≥ 20 years old). Serum adiponectin levels were determined by enzyme-linked immunosorbent assay (ELISA). The t-student or Mann-Whitney tests were used for intergroup comparison. RESULTS Pregnant adolescents showed significantly higher serum adiponectin concentrations compared with pregnant adults (p = 0.04). No differences were observed in adiponectin levels in younger pregnant adolescents (< 16 years old) compared with older pregnant adolescents (≥ 16 years old). Adiponectin values were divided into 3 subgroups: < 3,000 ng/mL, between 3,000 and 5,000 ng/mL, and > 5,000 ng/mL. Birthweight was significantly higher in women > 5,000 ng/mL when compared with < 3,000 ng/mL in the adolescent group. No association between pregestational adiponectin levels and BMI, gestational weight gain, and gestational age was observed; however, there was a positive relation with birthweight (p = 0.0239). CONCLUSION Serum adiponectin values in pregnant adolescents between 30 and 36 weeks of gestation were higher compared with pregnant adults; however, no differences between younger and older pregnant adolescents were observed.
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Affiliation(s)
- Elaine Cristina Rocha Pádua
- Department of Obstetrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo-SP, Brazil
| | - Silvia Daher
- Department of Obstetrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo-SP, Brazil
| | - Isa de Pádua Cintra Sampaio
- Department of Pediatrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo-SP, Brazil
| | - Edward Araujo Júnior
- Department of Obstetrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo-SP, Brazil
| | - Cristina Falbo Guazzelli
- Department of Obstetrics, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo-SP, Brazil
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Juonala M, Wu F, Sinaiko A, Woo JG, Urbina EM, Jacobs D, Steinberger J, Prineas R, Koskinen J, Sabin MA, Burgner DP, Burns TL, Bazzano L, Venn A, Viikari JS, Hutri-Kähönen N, Daniels SR, Dwyer T, Raitakari OT, Magnussen CG. Non-HDL Cholesterol Levels in Childhood and Carotid Intima-Media Thickness in Adulthood. Pediatrics 2020; 145:peds.2019-2114. [PMID: 32209701 PMCID: PMC7111486 DOI: 10.1542/peds.2019-2114] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/05/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Elevated non-high-density lipoprotein cholesterol (HDL-C) levels are used to identify children at increased cardiovascular risk, but the use of non-HDL-C in childhood to predict atherosclerosis is unclear. We examined whether the National Heart, Lung, and Blood Institute classification of youth non-HDL-C status predicts high common carotid artery intima-media thickness in adulthood. METHODS We analyzed data from 4 prospective cohorts among 4582 children aged 3 to 19 years who were remeasured as adults (mean follow-up of 26 years). Non-HDL-C status in youth and adulthood was classified according to cut points of the National Heart, Lung, and Blood Institute and the National Cholesterol Education Program Adult Treatment Panel III. High carotid intima-media thickness (cIMT) in adulthood was defined as at or above the study visit-, age-, sex-, race-, and cohort-specific 90th percentile of intima-media thickness. RESULTS In a log-binomial regression analysis adjusted with age at baseline, sex, cohort, length of follow-up, baseline BMI, and systolic blood pressure, children with dyslipidemic non-HDL-C were at increased risk of high cIMT in adulthood (relative risk [RR], 1.29; 95% confidence interval [CI], 1.07-1.55). Compared with the persistent normal group, the persistent dyslipidemia group (RR, 1.80; 95% CI, 1.37-2.37) and incident dyslipidemia (normal to dyslipidemia) groups (RR, 1.45; 95% CI, 1.07-1.96) had increased risk of high cIMT in adulthood, but the risk was attenuated for the resolution (dyslipidemia to normal) group (RR, 1.17; 95% CI, 0.97-1.41). CONCLUSIONS Dyslipidemic non-HDL-C levels predict youth at risk for developing high cIMT in adulthood. Those who resolve their non-HDL-C dyslipidemia by adulthood have normalized risk of developing high cIMT in adulthood.
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Affiliation(s)
- Markus Juonala
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital, .,Contributed equally as co-first authors
| | - Feitong Wu
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia;,Contributed equally as co-first authors
| | - Alan Sinaiko
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota
| | - Jessica G. Woo
- Division of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and College of Medicine, University of Cincinnati and
| | - Elaine M. Urbina
- Division of Cardiology, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio
| | - David Jacobs
- Division of Epidemiology and Community Health, School of Public Health and
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota Masonic Children’s Hospital, Minneapolis, Minnesota
| | - Ronald Prineas
- Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston‐Salem, North Carolina
| | - Juha Koskinen
- Heart Center, Kymenlaakso Central Hospital, Kotka, Finland
| | - Matthew A. Sabin
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Australia
| | - David P. Burgner
- Murdoch Children’s Research Institute, Royal Children’s Hospital, Parkville, Australia
| | - Trudy L. Burns
- Department of Pediatrics, University of Melbourne, Parkville, Australia;,Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Lydia Bazzano
- Departments of Epidemiology and Biostatistics and Bioinformatics, Tulane University Health Sciences Center, Tulane University, New Orleans, Louisiana
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Jorma S.A. Viikari
- Department of Medicine, University of Turku and Division of Medicine, Turku University Hospital
| | - Nina Hutri-Kähönen
- Department of Pediatrics, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Stephen R. Daniels
- Department of Pediatrics, Children’s Hospital Colorado and School of Medicine, University of Colorado, Aurora, Colorado; and
| | - Terence Dwyer
- The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
| | - Olli T. Raitakari
- Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, and,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Costan G. Magnussen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland;,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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3
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Koskinen J, Juonala M, Dwyer T, Venn A, Petkeviciene J, Čeponienė I, Bazzano L, Chen W, Sabin MA, Burns TL, Viikari JSA, Woo JG, Urbina EM, Prineas R, Hutri-Kähönen N, Sinaiko A, Jacobs DR, Steinberger J, Daniels S, Raitakari O, Magnussen CG. Utility of Different Blood Pressure Measurement Components in Childhood to Predict Adult Carotid Intima-Media Thickness. Hypertension 2019; 73:335-341. [PMID: 30580683 DOI: 10.1161/hypertensionaha.118.12225] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Childhood blood pressure (BP) levels predict adult subclinical atherosclerosis. However, the best childhood BP component for prediction has not been determined. This study comprised 5925 participants aged 3 to 18 years from 6 cohorts who were followed into adulthood (mean follow-up 25.8±6.2 years). Childhood BP was measured by using a standard mercury sphygmomanometer in all cohorts. Study-specific carotid intima-media thickness ≥90th percentile was used to define subclinical atherosclerosis. Per SD change in the predictor, childhood systolic BP (SBP; age- and sex-adjusted odds ratio [95% CI], 1.24 [1.13-1.37]), mean arterial pressure (1.10 [1.07-1.13]), and pulse pressure (1.15 [1.05-1.27]) were associated with increased adulthood intima-media thickness. In age- and sex-adjusted analyses, area under the receiver operating characteristic curves for SBP ( C value [95% CI], 0.677 [0.657-0.704]) showed significantly improved prediction compared with diastolic BP (0.669 [0.646-0.693], P=0.006) or mean arterial pressure (0.674 [0.653-0.699], P=0.01). Pulse pressure provided a C value that was not different from SBP (0.676 [0.653-0.699], P=0.16). Combining different BP components did not improve prediction over SBP measurement alone. Based on the associations with adult carotid intima-media thickness, cut points for elevated SBP were 105 mm Hg for 3- to 6-year-old boys, 108 mm Hg for 3- to 6-year-old girls, 108 mm Hg for 7- to 12-year-old boys, 106 mm Hg for 7- to 12-year-old girls, 123 mm Hg for 13- to 18-year-old boys, and 115 mm Hg for 13- to 18-year-old girls. Our analyses suggest that several childhood BP measurement components are related to adulthood carotid intima-media thickness. Of these, SBP provided the best predictive ability.
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Affiliation(s)
- Juha Koskinen
- From the Research Centre of Applied and Preventive Cardiovascular Medicine (J.K., O.R., C.G.M.), University of Turku, Finland.,Heart Center, Kymenlaakso Central Hospital, Kotka, Finland (J.K.)
| | - Markus Juonala
- Department of Medicine (M.J., J.S.A.V.), University of Turku, Finland.,Division of Medicine (M.J., J.S.A.V.), Turku University Hospital, Finland.,Murdoch Childrens Research Institute, Parkville, Victoria, Australia (M.J.)
| | - Terence Dwyer
- George Institute, University of Oxford, United Kingdom (T.D.)
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (A.V., C.G.M.)
| | - Janina Petkeviciene
- Faculty of Public Health, Medical Academy (J.P.), Lithuanian University of Health Sciences, Kaunas
| | - Indrė Čeponienė
- Department of Cardiology, Medical Academy (I.C.), Lithuanian University of Health Sciences, Kaunas
| | - Lydia Bazzano
- Department of Epidemiology and Department Biostatistics and Bioinformatics, Tulane University Health Sciences Center (L.B.), Tulane University, New Orleans, LA
| | - Wei Chen
- Department of Epidemiology, Tulane Center for Cardiovascular Health (W.C.), Tulane University, New Orleans, LA
| | - Matthew A Sabin
- Royal Children's Hospital, Parkville, Australia (M.A.S.).,Department of Pediatrics, University of Melbourne, Parkville, Australia (M.A.S.)
| | - Trudy L Burns
- Department of Epidemiology, College of Public Health, University of Iowa (T.L.B.)
| | - Jorma S A Viikari
- Department of Medicine (M.J., J.S.A.V.), University of Turku, Finland.,Division of Medicine (M.J., J.S.A.V.), Turku University Hospital, Finland
| | - Jessica G Woo
- Division of Biostatistics and Epidemiology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, OH (J.G.W.)
| | - Elaine M Urbina
- The Heart Institute, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, OH (E.M.U.)
| | - Ronald Prineas
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC (R.P.)
| | - Nina Hutri-Kähönen
- Department of Pediatrics, University of Tampere School of Medicine and Tampere University Hospital, Finland (N.H.-K.)
| | - Alan Sinaiko
- Department of Pediatrics (A.S.), University of Minnesota, Minneapolis
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health (D.R.J.), University of Minnesota, Minneapolis
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota Masonic Children's Hospital (J.S.)
| | - Stephen Daniels
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora (S.D.)
| | - Olli Raitakari
- From the Research Centre of Applied and Preventive Cardiovascular Medicine (J.K., O.R., C.G.M.), University of Turku, Finland.,Department of Clinical Physiology and Nuclear Medicine, University of Turku (O.R.), Turku University Hospital, Finland
| | - Costan G Magnussen
- From the Research Centre of Applied and Preventive Cardiovascular Medicine (J.K., O.R., C.G.M.), University of Turku, Finland.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (A.V., C.G.M.)
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Xie Y, Guo R, Li Z, Guo X, Sun G, Sun Z, Zheng J, Sun Y, Zheng L. Temporal relationship between body mass index and triglyceride-glucose index and its impact on the incident of hypertension. Nutr Metab Cardiovasc Dis 2019; 29:1220-1229. [PMID: 31383505 DOI: 10.1016/j.numecd.2019.07.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/22/2019] [Accepted: 07/02/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND AIMS Obesity and insulin levels can influence each other by metabolism. However, their temporal sequences and influence on hypertension are generally unknown, especially in Chinese adults. Recently, some scholars have proposed that triglycerides-glucose index (TyG) is an important indicator of insulin resistance. The study aims to describe the relationship between body mass index (BMI) and TyG index and its impact on hypertension. METHODS AND RESULTS A total of 4081 adults (56.33% women) without antihypertensive, hypoglycemic or lipid-lowering medications were selected for the present study. Measurements of BMI and TyG index were obtained twice from 2012 to 2017. Cross-lagged panel analysis was used to describe the temporal sequences between BMI and TyG index, and the effect of their temporal relationship patterns on hypertension was explored through mediation analysis. After adjusting for confounding factors (age, sex, ethnicity et al.), the cross-lagged path coefficient from baseline BMI to follow-up TyG (ρ2 = 0.135, P < 0.001) was significantly greater than the path coefficient from baseline TyG to follow-up BMI (ρ1 = 0.043, P < 0.001), and P < 0.001 for the difference between ρ1 and ρ2. Furthermore, the sensitivity analyses between women and men revealed identical findings. In addition, TyG index mediation effect on BMI-hypertension was estimated to be 38.45% (P < 0.001) in total population, 25.24% in women and 57.35% in men. CONCLUSION These results provided evidence that the temporal relationship between BMI and insulin resistance is reciprocal and a higher BMI precedes hyperinsulinemia in Chinese adults. This relationship plays an essential role in the development of hypertension, while there is a difference between women and men.
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Affiliation(s)
- Yanxia Xie
- Department of Clinical Epidemiology, Library, Department of Health Policy and Hospital Management, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China
| | - Rongrong Guo
- Department of Clinical Epidemiology, Library, Department of Health Policy and Hospital Management, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China
| | - Zhao Li
- Department of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing Street, Heping District, Shenyang, 110001, PR China
| | - Xiaofan Guo
- Department of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing Street, Heping District, Shenyang, 110001, PR China
| | - Guozhe Sun
- Department of Cardiology, The First Affiliated Hospital of China Medical University, 155 Nanjing Street, Heping District, Shenyang, 110001, PR China
| | - Zhaoqing Sun
- Department of Cardiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China
| | - Jia Zheng
- Department of Clinical Epidemiology, Library, Department of Health Policy and Hospital Management, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China
| | - Yingxian Sun
- Department of Cardiology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China.
| | - Liqiang Zheng
- Department of Clinical Epidemiology, Library, Department of Health Policy and Hospital Management, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, PR China.
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5
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Koskinen J, Juonala M, Dwyer T, Venn A, Thomson R, Bazzano L, Berenson GS, Sabin MA, Burns TL, Viikari JSA, Woo JG, Urbina EM, Prineas R, Hutri-Kähönen N, Sinaiko A, Jacobs D, Steinberger J, Daniels S, Raitakari OT, Magnussen CG. Impact of Lipid Measurements in Youth in Addition to Conventional Clinic-Based Risk Factors on Predicting Preclinical Atherosclerosis in Adulthood: International Childhood Cardiovascular Cohort Consortium. Circulation 2017; 137:1246-1255. [PMID: 29170152 DOI: 10.1161/circulationaha.117.029726] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Accepted: 11/03/2017] [Indexed: 12/20/2022]
Abstract
BACKGROUND Data suggest that the prediction of adult cardiovascular disease using a model comprised entirely of adult nonlaboratory-based risk factors is equivalent to an approach that additionally incorporates adult lipid measures. We assessed and compared the utility of a risk model based solely on nonlaboratory risk factors in adolescence versus a lipid model based on nonlaboratory risk factors plus lipids for predicting high-risk carotid intima-media thickness (cIMT) in adulthood. METHODS The study comprised 2893 participants 12 to 18 years of age from 4 longitudinal cohort studies from the United States (Bogalusa Heart Study and the Insulin Study), Australia (Childhood Determinants of Adult Health Study), and Finland (The Cardiovascular Risk in Young Finns Study) and followed into adulthood when cIMT was measured (mean follow-up, 23.4 years). Overweight status was defined according to the Cole classification. Hypertension was defined according to the Fourth Report on High Blood Pressure in Children and Adolescents from the National High Blood Pressure Education Program. High-risk plasma lipid levels were defined according to the National Cholesterol Education Program Expert Panel on Cholesterol Levels in Children. High cIMT was defined as a study-specific value ≥90th percentile. Age and sex were included in each model. RESULTS In univariate models, all risk factors except for borderline high and high triglycerides in adolescence were associated with high cIMT in adulthood. In multivariable models (relative risk [95% confidence interval]), male sex (2.7 [2.0-2.6]), prehypertension (1.4 [1.0-1.9]), hypertension (1.9 [1.3-2.9]), overweight (2.0 [1.4-2.9]), obesity (3.7 [2.0-7.0]), borderline high low-density lipoprotein cholesterol (1.6 [1.2-2.2]), high low-density lipoprotein cholesterol (1.6 [1.1-2.1]), and borderline low high-density lipoprotein cholesterol (1.4 [1.0-1.8]) remained significant predictors of high cIMT (P<0.05). The addition of lipids into the nonlaboratory risk model slightly but significantly improved discrimination in predicting high cIMT compared with nonlaboratory-based risk factors only (C statistics for laboratory-based model 0.717 [95% confidence interval, 0.685-0.748] and for nonlaboratory 0.698 [95% confidence interval, 0.667-0.731]; P=0.02). CONCLUSIONS Nonlaboratory-based risk factors and lipids measured in adolescence independently predicted preclinical atherosclerosis in young adulthood. The addition of lipid measurements to traditional clinic-based risk factor assessment provided a statistically significant but clinically modest improvement on adolescent prediction of high cIMT in adulthood.
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Affiliation(s)
- Juha Koskinen
- Research Center of Applied and Preventive Cardiovascular Medicine (J.K., O.T.R., C.G.M.) .,Heart Center (J.K.)
| | - Markus Juonala
- Department of Medicine (M.J., J.S.A.V.), University of Turku, Finland.,Division of Medicine (M.J., J.S.A.V.)
| | - Terence Dwyer
- George Institute, University of Oxford, United Kingdom (T.D.).,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (T.D., A.V., C.G.M.)
| | - Alison Venn
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (T.D., A.V., C.G.M.)
| | - Russell Thomson
- Centre for Research in Mathematics, School of Computing, Engineering and Mathematics, Western Sydney University, Australia (R.T.)
| | - Lydia Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.B., G.S.B.)
| | - Gerald S Berenson
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (L.B., G.S.B.)
| | - Matthew A Sabin
- Murdoch Children's Research Institute, The Royal Children's Hospital and University of Melbourne, Australia (M.A.S.)
| | - Trudy L Burns
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City (T.L.B.)
| | - Jorma S A Viikari
- Department of Medicine (M.J., J.S.A.V.), University of Turku, Finland.,Division of Medicine (M.J., J.S.A.V.)
| | - Jessica G Woo
- Department of Pediatrics, Division of Biostatistics and Epidemiology (J.G.W.).,Department of Medicine, University of Cincinnati, OH (J.G.W.)
| | - Elaine M Urbina
- Department of Pediatrics, Division of Cardiology (E.M.U.), Cincinnati Children's Hospital Medical Center and University of Cincinnati, OH
| | - Ronald Prineas
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC (R.P.)
| | - Nina Hutri-Kähönen
- Department of Pediatrics, University of Tampere School of Medicine and Tampere University Hospital, Finland (N.H.-K.)
| | | | - David Jacobs
- Division of Epidemiology and Community Health (D.J.), University of Minnesota, Minneapolis
| | | | - Stephen Daniels
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora (S.D.)
| | - Olli T Raitakari
- Research Center of Applied and Preventive Cardiovascular Medicine (J.K., O.T.R., C.G.M.).,Department of Clinical Physiology (O.T.R.), Turku University Hospital, Finland
| | - Costan G Magnussen
- Research Center of Applied and Preventive Cardiovascular Medicine (J.K., O.T.R., C.G.M.).,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (T.D., A.V., C.G.M.)
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Tortosa-Caparrós E, Navas-Carrillo D, Marín F, Orenes-Piñero E. Anti-inflammatory effects of omega 3 and omega 6 polyunsaturated fatty acids in cardiovascular disease and metabolic syndrome. Crit Rev Food Sci Nutr 2017; 57:3421-3429. [DOI: 10.1080/10408398.2015.1126549] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Esther Tortosa-Caparrós
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain
| | - Diana Navas-Carrillo
- Department of Surgery, Hospital de la Vega Lorenzo Guirao, University of Murcia, Murcia, Spain
| | - Francisco Marín
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain
| | - Esteban Orenes-Piñero
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain
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7
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Rifas-Shiman SL, Fleisch A, Hivert MF, Mantzoros C, Gillman MW, Oken E. First and second trimester gestational weight gains are most strongly associated with cord blood levels of hormones at delivery important for glycemic control and somatic growth. Metabolism 2017; 69:112-119. [PMID: 28285640 PMCID: PMC5354298 DOI: 10.1016/j.metabol.2017.01.019] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/09/2017] [Accepted: 01/10/2017] [Indexed: 11/22/2022]
Abstract
BACKGROUND Excessive gestational weight gain (GWG) during pregnancy is associated with adverse outcomes for mothers and offspring. Early, mid, and late pregnancy GWGs have different associations with fetal growth and later life adiposity, but associations with cord blood hormones, which might predict later health, are not well studied. METHODS In 978 pregnant women from the pre-birth Project Viva cohort, we calculated trimester-specific GWG using clinically recorded prenatal weights. Outcomes were levels of umbilical cord blood hormones related to fetal and postnatal growth. We used linear regression models adjusted for maternal race/ethnicity, pre-pregnancy BMI, parity, education, pregnancy smoking status and child sex; 2nd and 3rd trimester models were additionally adjusted for GWG in prior trimesters. RESULTS Mean±SD pre-pregnancy BMI was 24.9±5.5kg/m2, 30% were non-white, and 63% were college graduates. Mean±SD cord blood hormone levels were insulin-like growth factor [IGF]-1 (56.4±24.3ng/mL), IGF-2 (408.5±92.7ng/mL), IGFBP-3 (1084±318ng/mL), insulin (6.5±7.2 uU/mL), C-peptide (1.0±0.6ng/mL), leptin (9.0±6.6ng/mL) and adiponectin (28.7±6.8μg/mL). Mean±SD 1st, 2nd and 3rd trimester GWG rates were 0.22±0.22, 0.49±0.19 and 0.46±0.22kg/wk. Greater 1st trimester GWG (per 0.2kg/wk) was associated with higher insulin (0.5 uU/mL; 95% CI 0.1, 0.9) and C-peptide (0.06ng/mL; 95% CI 0.02, 0.09) and lower adiponectin (-0.4μg/mL; 95% CI -0.9, 0.0). Greater 2nd trimester GWG (per 0.2kg/wk) was associated with higher IGF-1 (2.3ng/mL; 95% CI 0.6, 4.0), IGF-2 (7.9ng/mL; 95% CI 1.2, 14.6), IGFBP-3 (41.6ng/mL; 95% CI 19.4, 63.7) and leptin (0.9ng/mL; 0.4, 1.4). 3rd trimester GWG was not associated with cord blood hormones. CONCLUSION 1st trimester weight gain appears to matter more for cord blood hormones related to offspring glucose/insulin regulation, whereas 2nd trimester gain matters more for hormones related to growth and adiposity.
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Affiliation(s)
- Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Abby Fleisch
- Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Marie-France Hivert
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | | | - Matthew W Gillman
- Environmental Influences on Child Health Outcomes (ECHO) Program, Office of the Director, National Institutes of Health, Rockville, MD, USA
| | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Sedaka NM, Olsen CH, Yannai LE, Stutzman WE, Krause AJ, Sherafat-Kazemzadeh R, Condarco TA, Brady SM, Demidowich AP, Reynolds JC, Yanovski SZ, Hubbard VS, Yanovski JA. A longitudinal study of serum insulin and insulin resistance as predictors of weight and body fat gain in African American and Caucasian children. Int J Obes (Lond) 2017; 41:61-70. [PMID: 27534840 PMCID: PMC5209266 DOI: 10.1038/ijo.2016.145] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Revised: 06/16/2016] [Accepted: 07/20/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND The influence of insulin and insulin resistance (IR) on children's weight and fat gain is unclear. OBJECTIVE To evaluate insulin and IR as predictors of weight and body fat gain in children at high risk for adult obesity. We hypothesized that baseline IR would be positively associated with follow-up body mass index (BMI) and fat mass. SUBJECTS/METHODS Two hundred and forty-nine healthy African American and Caucasian children aged 6-12 years at high risk for adult obesity because of early-onset childhood overweight and/or parental overweight were followed for up to 15 years with repeated BMI and fat mass measurements. We examined baseline serum insulin and homeostasis model of assessment-IR (HOMA-IR) as predictors of follow-up BMI Z-score and fat mass by dual-energy X-ray absorptiometry in mixed model longitudinal analyses accounting for baseline body composition, pubertal stage, sociodemographic factors and follow-up interval. RESULTS At baseline, 39% were obese (BMI⩾95th percentile for age/sex). Data from 1335 annual visits were examined. Children were followed for an average of 7.2±4.3 years, with a maximum follow-up of 15 years. After accounting for covariates, neither baseline insulin nor HOMA-IR was significantly associated with follow-up BMI (Ps>0.26), BMIz score (Ps>0.22), fat mass (Ps>0.78) or fat mass percentage (Ps>0.71). In all models, baseline BMI (P<0.0001), body fat mass (P<0.0001) and percentage of fat (P<0.001) were strong positive predictors for change in BMI and fat mass. In models restricted to children without obesity at baseline, some but not all models had significant interaction terms between body adiposity and insulinemia/HOMA-IR that suggested less gain in mass among those with greater insulin or IR. The opposite was found in some models restricted to children with obesity at baseline. CONCLUSIONS In middle childhood, BMI and fat mass, but not insulin or IR, are strong predictors of children's gains in BMI and fat mass during adolescence.
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Affiliation(s)
- N M Sedaka
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - C H Olsen
- Biostatistics Consulting Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - L E Yannai
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - W E Stutzman
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - A J Krause
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - R Sherafat-Kazemzadeh
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - T A Condarco
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - S M Brady
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - A P Demidowich
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
| | - J C Reynolds
- Nuclear Medicine Department, Hatfield Clinical Research Center, NIH, Bethesda, MD, USA
| | - S Z Yanovski
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
- Nutritional Sciences Branch, Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA
| | - V S Hubbard
- Nutritional Sciences Branch, Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA
- Division of Nutrition Research Coordination, NIH, Bethesda, MD, USA
| | - J A Yanovski
- Section on Growth and Obesity (SGO), Program in Developmental Endocrinology and Genetics (PDEGEN), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA
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9
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Zhang T, Zhang H, Li Y, Sun D, Li S, Fernandez C, Qi L, Harville E, Bazzano L, He J, Xue F, Chen W. Temporal Relationship Between Childhood Body Mass Index and Insulin and Its Impact on Adult Hypertension: The Bogalusa Heart Study. Hypertension 2016; 68:818-23. [PMID: 27432860 DOI: 10.1161/hypertensionaha.116.07991] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 06/28/2016] [Indexed: 12/22/2022]
Abstract
Although obesity and insulin resistance are closely correlated, their temporal sequences in early life and influence on adult hypertension are largely unknown. This study aims to delineate the temporal relationship patterns between body mass index (BMI) and insulin in childhood and their impact on adult hypertension. The longitudinal cohort consisted of 990 adults (630 whites and 360 blacks) who had BMI and fasting insulin measured twice 5.4 years apart in childhood (mean age, 10.5 years at baseline and 15.9 years at follow-up) and blood pressure measured 14.7 years later in adulthood (mean age, 30.5 years). Cross-lagged panel and mediation analysis models were used to examine the temporal relationship between childhood BMI and insulin and its impact on adult hypertension. After adjusting for age, race, sex, and follow-up years, the cross-lagged path coefficient (β=0.33; P<0.001) from baseline BMI to follow-up insulin was significantly greater than the path coefficient (β=-0.02; P>0.05) from baseline insulin to follow-up BMI in childhood with P<0.001 for the difference in βs. Blacks and whites showed similar patterns of the temporal relationship. The path coefficient (β=0.59; P<0.001) from BMI to insulin in the hypertensive group was significantly greater than that (β=0.24; P<0.001) in normotensive group, with P<0.001 for the difference in βs between these 2 groups. The mediation effect of childhood insulin on the childhood BMI-adult hypertension association was estimated at 21.1% (P<0.001). These findings provide evidence that higher BMI levels precede hyperinsulinemia during childhood, and this 1-directional relation plays a role in the development of hypertension.
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Affiliation(s)
- Tao Zhang
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Huijie Zhang
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Ying Li
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Dianjianyi Sun
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Shengxu Li
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Camilo Fernandez
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Lu Qi
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Emily Harville
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Lydia Bazzano
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Jiang He
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.)
| | - Fuzhong Xue
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.).
| | - Wei Chen
- From the Department of Biostatistics, School of Public Health, Shandong University, Jinan, China (T.Z., F.X.); Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA (T.Z., H.Z., Y.L., D.S., S.L., C.F., L.Q., E.H., L.B., J.H., W.C.); Department of Endocrinology and Metabolism, the First Hospital of Xiamen, Xiamen University, China (H.Z.); and Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, China (Y.L.).
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Bosch TA, Dengel DR, Kelly AS, Sinaiko AR, Moran A, Steinberger J. Visceral adipose tissue measured by DXA correlates with measurement by CT and is associated with cardiometabolic risk factors in children. Pediatr Obes 2015; 10:172-9. [PMID: 24990328 PMCID: PMC5927585 DOI: 10.1111/ijpo.249] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Revised: 05/21/2014] [Accepted: 05/29/2014] [Indexed: 01/23/2023]
Abstract
BACKGROUND Visceral adipose tissue (VAT) generally demonstrates a stronger relationship with cardiometabolic risk factors than total body fat or subcutaneous adipose tissue. OBJECTIVES The purpose of this study was to compare VAT estimated in children by total volume dual-energy X-ray absorptiometry (DXA) with a gold standard measurement, single slice (L4-L5) computed tomography (CT). METHODS A total of 329 (152 females, 177 males) children ages 6-18 years (mean age 12.3 ± 3.6) and with average body mass index percentile of 54.9% (3-99%) had their VAT estimated by both CT and DXA. Linear association between methods was measured using Pearson's correlation. Multiple linear regressions compared the associations between cardiometabolic risk factors and both CT-VAT and DXA-VAT, respectively. RESULTS In children, DXA-VAT was correlated significantly with CT-VAT, with a stronger relationship in overweight and obese children. Multiple regression analysis showed that both estimates of VAT were significantly associated with lipids and insulin sensitivity, measured by euglycaemic-hyperinsulinaemic clamp. Additionally, DXA-VAT was associated with diastolic blood pressure, homeostasis model of insulin resistance and fasting insulin, but CT-VAT was not. CONCLUSION In children, total volume DXA-VAT and single slice CT-VAT are significantly correlated and each demonstrates similar associations with cardiometabolic risk factors. This suggests that DXA is a useful and valid method for estimation of VAT in children.
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Affiliation(s)
- Tyler A. Bosch
- School of Kinesiology, University of Minnesota, 1900 University Avenue SE, Minneapolis, MN 55455
| | - Donald R. Dengel
- School of Kinesiology, University of Minnesota, 1900 University Avenue SE, Minneapolis, MN 55455,Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455
| | - Aaron S. Kelly
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455,Department of Medicine, University of Minnesota Medical School, Minneapolis, MN 55455
| | - Alan R Sinaiko
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455
| | - Antoinette Moran
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455
| | - Julia Steinberger
- Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN 55455
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11
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Murray ET, Hardy R, Hughes A, Wills A, Sattar N, Deanfield J, Kuh D, Whincup P. Overweight across the life course and adipokines, inflammatory and endothelial markers at age 60-64 years: evidence from the 1946 birth cohort. Int J Obes (Lond) 2015; 39:1010-8. [PMID: 25676237 PMCID: PMC4433551 DOI: 10.1038/ijo.2015.19] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Revised: 01/13/2015] [Accepted: 01/18/2015] [Indexed: 12/12/2022]
Abstract
Background/Objectives: There is growing evidence that early development of obesity increases cardiovascular risk later in life, but less is known about whether there are effects of long-term excess body weight on the biological drivers associated with the atherosclerotic pathway, particularly adipokines, inflammatory and endothelial markers. This paper therefore investigates the influence of overweight across the life course on levels of these markers at retirement age. Subjects/Methods: Data from the Medical Research Council National Survey of Health and Development (n=1784) were used to examine the associations between overweight status at 2, 4, 6, 7, 11, 15, 20, 26, 36, 43, 53 and 60–64 years (body mass index (BMI)⩾25 kg m−2 for adult ages and gender-specific cut-points for childhood ages equivalent to BMI⩾25 kg m−2) and measurements of adipokines (leptin and adiponectin), inflammatory markers (C-reactive protein (CRP), interleukin-6 (IL-6)) and endothelial markers (E-selectin, tissue plasminogen activator (t-PA) and von Willebrand factor) at 60–64 years. In addition, the fit of different life course models (sensitive periods/accumulation) were compared using partial F-tests. Results: In age- and sex-adjusted models, overweight at 11 years and onwards was associated with higher leptin, CRP and IL-6 and lower adiponectin; overweight at 15 years and onwards was associated with higher E-selectin and t-PA. Associations between overweight at all ages earlier than 60–64 with leptin, adiponectin, CRP and IL-6 were reduced but remained apparent after adjustment for overweight at 60–64 years; whereas those with E-selectin and t-PA were entirely explained. An accumulation model best described the associations between overweight across the life course with adipokines and inflammatory markers, whereas for the endothelial markers, the sensitive period model for 60–64 years provided a slightly better fit than the accumulation model. Conclusions: Overweight across the life course has a cumulative influence on adipokines, inflammatory and possibly endothelial markers. Avoidance of overweight from adolescence onwards is likely important for cardiovascular disease prevention.
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Affiliation(s)
- E T Murray
- Population Health Research Institute, St George's University of London, London, UK
| | - R Hardy
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - A Hughes
- Institute of Cardiovascular Science, University College London, London, UK
| | - A Wills
- School of Clinical Sciences, University of Bristol, Bristol, UK
| | - N Sattar
- British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - J Deanfield
- National Centre for Cardiovascular Prevention and Outcomes, University College London, London, UK
| | - D Kuh
- MRC Unit for Lifelong Health and Ageing at University College London, London, UK
| | - P Whincup
- Population Health Research Institute, St George's University of London, London, UK
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