Literature DB >> 16931524

Birth weight, components of height and coronary heart disease: evidence from the Whitehall II study.

Jane E Ferrie1, Claudia Langenberg, Martin J Shipley, Michael G Marmot.   

Abstract

BACKGROUND: Previous studies have suggested that shorter leg length, not trunk length, may explain the inverse association between height and coronary heart disease (CHD) risk. However, investigation of the importance of birth weight for these associations has been limited. This study examines associations of measures of stature and birth weight with CHD risk factors (measures of blood pressure and lipids, 2 h glucose, waist-hip ratio and fibrinogen) and incident non-fatal coronary events in middle age.
METHODS: Data were derived mostly from the Phase 5 (1997-99) clinical screening of the Whitehall II study of British civil servants. The main cross-sectional analyses included 1084 women and 2290 men with complete data.
RESULTS: In women total height and leg length were the measures that tended to be most strongly associated with CHD risk factors, while in men leg length demonstrated the closest associations. Although associations between trunk length and CHD risk factors were weaker, trunk length was the component of height that appeared to be most closely associated with coronary events. Associations between birth weight and CHD risk factors and coronary events were generally weaker than for any measure of stature. Adjustment for birth weight had little effect on associations between components of stature and CHD risk factors or events.
CONCLUSION: Findings from this relatively privileged cohort confirmed that shorter leg length underlies the inverse association between height and CHD risk factors in middle-aged women and men. Furthermore, in this study population shorter trunk length was more closely associated with incident, non-fatal coronary events.

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Year:  2006        PMID: 16931524     DOI: 10.1093/ije/dyl184

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  30 in total

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Journal:  Int J Epidemiol       Date:  2011-12       Impact factor: 7.196

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