Literature DB >> 16691183

What is the effect of adjusting for more than one measure of current body size on the relation between birthweight and blood pressure?

Y-K Tu1, M S Gilthorpe, G T H Ellison.   

Abstract

The statistical validity of the negative associations observed between birthweight and disease in later life has recently been questioned, because these associations might be due, in part, to inappropriate adjustment for current body size, creating a statistical artefact known as the 'reversal paradox'. The aim of this study was to explore the effect of adjusting for more than one measure of current body size on the association between birthweight and disease in later life using simulations and meta-analyses of empirical studies. The simulations examined the relation between birthweight and adult systolic blood pressure before and after adjusting for one, two or three measures of current body size by including current weight and subsequently adding body mass index and height in successive analytical models. Meta-analyses were then performed to compare the effect sizes observed among empirical studies reporting associations between birthweight and blood pressure before and after adjusting for one or two measures of current body size. The meta-analyses confirmed the results of the simulations - both showed that associations between birthweight and blood pressure tend to become increasingly negative following adjustment for current body size, and that this effect is enhanced after adjusting for additional measures of current body size.

Mesh:

Year:  2006        PMID: 16691183     DOI: 10.1038/sj.jhh.1002044

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  10 in total

1.  Revisiting the interaction between birth weight and current body size in the foetal origins of adult disease.

Authors:  Yu-Kang Tu; Samuel O M Manda; George T H Ellison; Mark S Gilthorpe
Journal:  Eur J Epidemiol       Date:  2007-07-20       Impact factor: 8.082

2.  A structural equation model of the developmental origins of blood pressure.

Authors:  D L Dahly; L S Adair; K A Bollen
Journal:  Int J Epidemiol       Date:  2008-11-27       Impact factor: 7.196

3.  Amplification of the association between birthweight and blood pressure with age: the Bogalusa Heart Study.

Authors:  Wei Chen; Sathanur R Srinivasan; Gerald S Berenson
Journal:  J Hypertens       Date:  2010-10       Impact factor: 4.844

Review 4.  Antenatal Programming of Hypertension: Paradigms, Paradoxes, and How We Move Forward.

Authors:  Andrew M South; Norrina B Allen
Journal:  Curr Hypertens Rep       Date:  2022-10-13       Impact factor: 4.592

5.  The relationship between birthweight and longitudinal changes of blood pressure is modulated by beta-adrenergic receptor genes: the Bogalusa Heart Study.

Authors:  Wei Chen; Sathanur R Srinivasan; D Michael Hallman; Gerald S Berenson
Journal:  J Biomed Biotechnol       Date:  2010-05-11

6.  Growth, current size and the role of the 'reversal paradox' in the foetal origins of adult disease: an illustration using vector geometry.

Authors:  Yu-Kang Tu; George T H Ellison; Mark S Gilthorpe
Journal:  Epidemiol Perspect Innov       Date:  2006-08-02

Review 7.  Maternal and child undernutrition: consequences for adult health and human capital.

Authors:  Cesar G Victora; Linda Adair; Caroline Fall; Pedro C Hallal; Reynaldo Martorell; Linda Richter; Harshpal Singh Sachdev
Journal:  Lancet       Date:  2008-01-26       Impact factor: 79.321

8.  Simpson's Paradox, Lord's Paradox, and Suppression Effects are the same phenomenon--the reversal paradox.

Authors:  Yu-Kang Tu; David Gunnell; Mark S Gilthorpe
Journal:  Emerg Themes Epidemiol       Date:  2008-01-22

9.  Cardiovascular disease in a cohort exposed to the 1940-45 Channel Islands occupation.

Authors:  Rosemary F Head; Mark S Gilthorpe; Allyson Byrom; George T H Ellison
Journal:  BMC Public Health       Date:  2008-09-02       Impact factor: 3.295

10.  Adjustment for time-invariant and time-varying confounders in 'unexplained residuals' models for longitudinal data within a causal framework and associated challenges.

Authors:  K F Arnold; Gth Ellison; S C Gadd; J Textor; Pwg Tennant; A Heppenstall; M S Gilthorpe
Journal:  Stat Methods Med Res       Date:  2018-02-16       Impact factor: 3.021

  10 in total

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