Literature DB >> 19245738

Historical cohort studies and the early origins of disease hypothesis: making sense of the evidence.

Jonathan C K Wells1.   

Abstract

The hypothesis that early-life growth patterns contribute to non-communicable diseases initially emerged from historical cohort studies, consistently associating low birth weight and infant weight gain with later disease risk. Cohort studies offer crucial life-course data on disease aetiology, but also suffer from important limitations, including the difficulty of adjusting for confounding factors and the challenge of interpreting data on early growth. Prospective randomised trials of infant diet appear to provide evidence in direct contradiction to cohort studies, associating faster early growth with disease risk. The present article attempts to resolve this contradiction on two grounds. First, insufficient attention has been directed to inconsistency of outcomes between cohort studies and prospective trials. Cohort studies can assess actual mortality, whereas prospective trials investigate proxies for disease risk. These proxies are often aspects of phenotype that reflect the 'normalisation' of metabolism in response to growth, and not all those displaying normalisation in adolescence and early adulthood may go on to develop disease. Second, a distinction is made between 'metabolic capacity', defined as organ development that occurs in early life, and 'metabolic load', which is imposed by subsequent growth. Disease risk is predicted to be greatest when there is extreme disparity between metabolic capacity and metabolic load. Whereas cohort studies link disease risk with poor metabolic capacity, prospective trials link it with increased metabolic load. Infancy is a developmental period in which nutrition can affect both metabolic capacity and metabolic load; this factor accounts for reported associations of both slow and fast infant growth with greater disease risk.

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Year:  2009        PMID: 19245738     DOI: 10.1017/S0029665109001086

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  12 in total

1.  Prediction of Circulating Adipokine Levels Based on Body Fat Compartments and Adipose Tissue Gene Expression.

Authors:  Stefan Konigorski; Jürgen Janke; Dagmar Drogan; Manuela M Bergmann; Johannes Hierholzer; Rudolf Kaaks; Heiner Boeing; Tobias Pischon
Journal:  Obes Facts       Date:  2019-11-07       Impact factor: 3.942

2.  Commercial 'ready-to-feed' infant foods in the UK: macro-nutrient content and composition.

Authors:  Nazanin Zand; Babur Z Chowdhry; Lucie V Pollard; Frank S Pullen; Martin J Snowden; Francis B Zotor
Journal:  Matern Child Nutr       Date:  2012-10-01       Impact factor: 3.092

Review 3.  Body composition in infants: evidence for developmental programming and techniques for measurement.

Authors:  Jonathan C K Wells
Journal:  Rev Endocr Metab Disord       Date:  2012-06       Impact factor: 6.514

4.  Gestational diabetes and subsequent growth patterns of offspring: the National Collaborative Perinatal Project.

Authors:  Kesha Baptiste-Roberts; Wanda K Nicholson; Nae-Yuh Wang; Frederick L Brancati
Journal:  Matern Child Health J       Date:  2012-01

5.  Differences in cardiovascular risk factors in rural, urban and rural-to-urban migrants in Peru.

Authors:  J Jaime Miranda; Robert H Gilman; Liam Smeeth
Journal:  Heart       Date:  2011-04-08       Impact factor: 5.994

6.  Body Composition and Prostate Cancer Risk: A Systematic Review of Observational Studies.

Authors:  Sarah A Purcell; Camila L P Oliveira; Michelle Mackenzie; Paula Robson; John D Lewis; Carla M Prado
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

7.  A common cause for a common phenotype: the gatekeeper hypothesis in fetal programming.

Authors:  S McMullen; S C Langley-Evans; L Gambling; C Lang; A Swali; H J McArdle
Journal:  Med Hypotheses       Date:  2011-11-01       Impact factor: 1.538

8.  Testing a capacity-load model for hypertension: disentangling early and late growth effects on childhood blood pressure in a prospective birth cohort.

Authors:  Carlos S Grijalva-Eternod; Debbie A Lawlor; Jonathan C K Wells
Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

9.  Comparison of the metabolic parameters and androgen level of umbilical cord blood in newborns of mothers with polycystic ovary syndrome and controls.

Authors:  Ferdous Mehrabian; Roya Kelishadi
Journal:  J Res Med Sci       Date:  2012-03       Impact factor: 1.852

Review 10.  Body composition and the monitoring of non-communicable chronic disease risk.

Authors:  J C K Wells; M K Shirley
Journal:  Glob Health Epidemiol Genom       Date:  2016-10-21
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