OBJECTIVES: The aim of the study was to compare commonly used anthropometry for cardiovascular risk factors in 14-year-olds. METHODS: A total of 1 149 children of an Australian pregnancy (Raine) cohort with recruitment 1989-1991 were assessed for anthropometry and fasting lipids, insulin, and blood pressure. RESULTS: There were significant distinctions in the associations between anthropometry and groups of cardiovascular risk factors. These distinctions differed by gender. Insulin resistance, triglycerides, C-reactive protein levels, low density lipoprotein (LDH)/high density lipoprotein (HDL) and total/HDL cholesterol ratios had the strongest association with waist, waist/height ratio and body mass index. By contrast, in boys, height was the strongest independent predictor (in a negative direction) of total and LDL-cholesterol. Blood pressure and uric acid was most strongly correlated with body weight and height (heavier and taller boys). Taller male adolescents had highest blood pressures and lowest cholesterol levels. CONCLUSIONS: No single adolescent anthropometric measure best predicted all cardiovascular risk factors. Each measure showed distinct relationships with specific groups of risk factors. Contrasting associations may reflect different pathogenesis by which gender, puberty, and adiposity affect metabolic risk. No single anthropometric measurement in childhood would appear to be superior or sufficient when investigating the developmental origins of cardiovascular health and related metabolic disease.
OBJECTIVES: The aim of the study was to compare commonly used anthropometry for cardiovascular risk factors in 14-year-olds. METHODS: A total of 1 149 children of an Australian pregnancy (Raine) cohort with recruitment 1989-1991 were assessed for anthropometry and fasting lipids, insulin, and blood pressure. RESULTS: There were significant distinctions in the associations between anthropometry and groups of cardiovascular risk factors. These distinctions differed by gender. Insulin resistance, triglycerides, C-reactive protein levels, low density lipoprotein (LDH)/high density lipoprotein (HDL) and total/HDL cholesterol ratios had the strongest association with waist, waist/height ratio and body mass index. By contrast, in boys, height was the strongest independent predictor (in a negative direction) of total and LDL-cholesterol. Blood pressure and uric acid was most strongly correlated with body weight and height (heavier and taller boys). Taller male adolescents had highest blood pressures and lowest cholesterol levels. CONCLUSIONS: No single adolescent anthropometric measure best predicted all cardiovascular risk factors. Each measure showed distinct relationships with specific groups of risk factors. Contrasting associations may reflect different pathogenesis by which gender, puberty, and adiposity affect metabolic risk. No single anthropometric measurement in childhood would appear to be superior or sufficient when investigating the developmental origins of cardiovascular health and related metabolic disease.
Authors: Harrison K Tam; Aaron S Kelly; Andrea M Metzig; Julia Steinberger; L'Aurelle A Johnson Journal: Child Obes Date: 2014-02-25 Impact factor: 2.992
Authors: Rae-Chi Huang; Karen A Lillycrop; Lawrence J Beilin; Keith M Godfrey; Denise Anderson; Trevor A Mori; Sebastian Rauschert; Jeffrey M Craig; Wendy H Oddy; Oyekoya T Ayonrinde; Craig E Pennell; Joanna D Holbrook; Phillip E Melton Journal: J Clin Endocrinol Metab Date: 2019-07-01 Impact factor: 5.958
Authors: Qibin Qi; Simin Hua; Krista M Perreira; Jianwen Cai; Linda Van Horn; Neil Schneiderman; Bharat Thyagarajan; Alan M Delamater; Robert C Kaplan; Carmen R Isasi Journal: J Clin Endocrinol Metab Date: 2017-01-01 Impact factor: 5.958
Authors: Laura D Howe; Priyakumari G Parmar; Lavinia Paternoster; Nicole M Warrington; John P Kemp; Laurent Briollais; John P Newnham; Nicholas J Timpson; George Davey Smith; Susan M Ring; David M Evans; Kate Tilling; Craig E Pennell; Lawrie J Beilin; Lyle J Palmer; Debbie A Lawlor Journal: Circ Cardiovasc Genet Date: 2013-11-07
Authors: G Appannah; G K Pot; R C Huang; W H Oddy; L J Beilin; T A Mori; S A Jebb; G L Ambrosini Journal: Nutr Metab Cardiovasc Dis Date: 2015-04-30 Impact factor: 4.222