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Title: Development and application of tracking analysis in studies of adult obesity in the MRC National Survey of Health and Development
Author: Chen, Y.
Awarding Body: University of Cambridge
Current Institution: University of Cambridge
Date of Award: 2010
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The PhD program developed a novel tracking model to assess the stability of diet over time. The ‘Two-stage Estimation Model for Tracking Analysis’ (TEMTA) overcomes difficulties of previous tracking methods and can be widely applied to future epidemiological studies. The model was applied to the MRC National Survey of Health and Development (NSHD) to track fruit, vegetable and fat intake from ages 4-36 years and 36-43 years. Physical activity and under-reporting were also tracked for NSHD participants from ages 36-43 years old. Diet, especially vegetable and fat intakes, were shown not to track from childhood to adulthood. Diet and physical activity were tracking in adulthood but under-reporting was not. In addition, an accumulative life course model was applied to investigate the longitudinal patterns of fruit consumption and obesity. Results suggest the importance of keeping a healthy diet from an early age in life. It is indicated from this study and recent healthy diet can have immediate benefit to health. Discussions and recommendations are made in terms of the advantages and limitations of the TEMTA model, research and public health implications suggested by the tracking analysis in NSHD, and further research opportunities presented by the work.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available