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Tracking of physical activity,fitness, body composition and diet from adolescence to young adulthood: The Young Hearts Project,Northern Ireland
Authors:Colin?Boreham  mailto:ca.boreham@ulster.ac.uk"   title="  ca.boreham@ulster.ac.uk"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Paula?J?Robson,Alison?M?Gallagher,Gordon?W?Cran,J?Maurice?Savage,Liam?J?Murray
Affiliation:(1) School of Applied Medical Sciences and Sports Studies, University of Ulster, Jordanstown, Northern Ireland, BT37 0QB, United Kingdom;(2) Northern Ireland Centre for Food and Health (NICHE), University of Ulster, Coleraine, Northern Ireland, BT52 1SA, United Kingdom;(3) Department of Epidemiology and Public Health, Queen's University of Belfast, Belfast, Northern Ireland, BT12 6BJ, United Kingdom;(4) Department of Child Health, Queen's University of Belfast, Belfast, Northern Ireland, BT12 6BJ, United Kingdom
Abstract:
BACKGROUND: The assumption that lifestyles formed early in life track into adulthood has been used to justify the targeting of health promotion programmes towards children and adolescents. The aim of the current study was to use data from the Northern Ireland Young Hearts Project to ascertain the extent of tracking, between adolescence and young adulthood, of physical activity, aerobic fitness, selected anthropometric variables, and diet. METHODS: Males (n 245) and females (n 231) were assessed at age 15 y, and again in young adulthood [mean (SD) age 22 (1.6) y]. At both timepoints, height, weight and skinfold thicknesses were measured, and physical activity and diet were assessed by questionnaire and diet history method respectively. At 15y, fitness was assessed using the 20 metre shuttle run, while at young adulthood, the PWC170 cycle ergometer test was used. For each measurement made at 15y, subjects were ranked into 'low' (L1; lowest 25%), 'medium' (M1; middle 50%) or 'high' (H1; highest 25%) categories. At young adulthood, similar categories (L2, M2, H2) were created. The extent of tracking of each variable over time was calculated using 3 x 3 matrices constructed using these two sets of categories, and summarised using kappa (kappa) statistics. RESULTS: Tracking of diet and fitness was poor (kappa
Keywords:
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