Literature DB >> 11103225

Tracking of nutrient intakes in adolescence: the experiences of the Young Hearts Project, Northern Ireland.

P J Robson1, A M Gallagher, M B Livingstone, G W Cran, J J Strain, J M Savage, C A Boreham.   

Abstract

This study evaluated the tracking of energy and nutrient intakes, assessed by diet history, in a random sample of adolescents (boys n 225, girls n 230) at baseline (age 12 years), and subsequently at age 15 years. Median energy (MJ/d) and macronutrient (g/d) intakes increased significantly (all P < 0.001) with increasing age in the boys. The girls' reported energy intake (MJ/d) remained stable over time, despite significant increases in BMI, weight and % body fat. Age-related changes in the girls' macronutrient intakes were inconsistent. When expressed in terms of nutrient density, the diets of both sexes became significantly richer, over time, in total folate (both sexes, P < 0.01), but poorer in Ca (boys P < 0.01, girls P < 0.001) and riboflavin (both sexes P < 0.001). Vitamin B6 (P < 0.001) and Fe (P < 0.05) densities increased in the boys, while the thiamin density of the girls' diets decreased (P < 0.001). Tracking, defined as maintenance of rank over time, was summarised using weighted kappa statistics (kappa). There were some significant changes in intakes at the group level; however, tracking of energy and nutrients in both sexes was only poor to fair (kappa < 0.40), indicating substantial drift of individuals between classes of intake over time. Particularly poor tracking was evident for % energy from sugars (kappa 0.09) and total fat (kappa 0.09) in the girls' diets. In conclusion, the poor to fair tracking observed in this cohort suggests that individual dietary patterns exhibited at 12 years of age are unlikely to be predictive of energy and nutrient intake at age 15 years.

Entities:  

Mesh:

Year:  2000        PMID: 11103225

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  8 in total

1.  The problem of evaluating the magnitude of tracking coefficients.

Authors:  Jos W R Twisk
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

2.  Changes in dietary intake during puberty and their determinants: results from the GINIplus birth cohort study.

Authors:  Carla Harris; Claudia Flexeder; Elisabeth Thiering; Anette Buyken; Dietrich Berdel; Sibylle Koletzko; Carl-Peter Bauer; Irene Brüske; Berthold Koletzko; Marie Standl
Journal:  BMC Public Health       Date:  2015-09-02       Impact factor: 3.295

3.  Clustering and Tracking the Stability of Biological CVD Risk Factors in Adolescents: The Malaysian Health and Adolescents Longitudinal Research Team Study (MyHeARTs).

Authors:  Nithiah Thangiah; Karuthan Chinna; Tin Tin Su; Muhammad Yazid Jalaludin; Nabilla Al-Sadat; Hazreen Abdul Majid
Journal:  Front Public Health       Date:  2020-03-17

Review 4.  Review Nutritional interventions during adolescence and their possible effects.

Authors:  Ashraf T Soliman; Nada Alaaraj; Fawzia Alyafei; Shaymaa Ahmed; Mona Shaat; Maya Itani; Rania Elalaily; Nada Soliman
Journal:  Acta Biomed       Date:  2022-03-14

5.  The quality of girls' diets declines and tracks across middle childhood.

Authors:  Michelle L Mannino; Yoonna Lee; Diane C Mitchell; Helen Smiciklas-Wright; Leann L Birch
Journal:  Int J Behav Nutr Phys Act       Date:  2004-02-27       Impact factor: 6.457

6.  Tracking of physical activity, fitness, body composition and diet from adolescence to young adulthood: The Young Hearts Project, Northern Ireland.

Authors:  Colin Boreham; Paula J Robson; Alison M Gallagher; Gordon W Cran; J Maurice Savage; Liam J Murray
Journal:  Int J Behav Nutr Phys Act       Date:  2004-10-05       Impact factor: 6.457

7.  The tracking of dietary intakes of children and adolescents in Sweden over six years: the European Youth Heart Study.

Authors:  Emma Patterson; Julia Wärnberg; John Kearney; Michael Sjöström
Journal:  Int J Behav Nutr Phys Act       Date:  2009-12-11       Impact factor: 6.457

8.  Tracking a dietary pattern associated with increased adiposity in childhood and adolescence.

Authors:  Gina L Ambrosini; Pauline M Emmett; Kate Northstone; Susan A Jebb
Journal:  Obesity (Silver Spring)       Date:  2013-09-17       Impact factor: 5.002

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.