Quantifying the impact of early life growth adversity on later life health

  • Raphael Goldman-Pham
  • , Matthew P. Alter
  • , Rebecca Bao
  • , Sophie Collins
  • , Catherine L. Debban
  • , James P. Allinson
  • , Antony Ambler
  • , Alain G. Bertoni
  • , Avshalom Caspi
  • , Stephanie Lovinsky-Desir
  • , Magnus P. Ekstrom
  • , James C. Engert
  • , David R. Jacobs
  • , Daniel Malinsky
  • , Ani Manichaikul
  • , Erin D. Michos
  • , Terrie E. Moffitt
  • , Elizabeth C. Oelsner
  • , Sandhya Ramrakha
  • , Stephen S. Rich
  • Coralynn Sack, Sanja Stanojevic, Padmaja Subbarao, Karen Sugden, Reremoana Theodore, Karol E. Watson, Benjamin Williams, Bin Yang, Josée Dupuis, Seif O. Shaheen, R. Graham Barr, Robert J. Hancox, Benjamin M. Smith

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Early-life growth adversity is important to later-life health, but precision assessment in adulthood is challenging. We evaluated whether the difference between attained and genotype-predicted adult height (“height-GaP”) would associate with prospectively ascertained early-life growth adversity and later-life all-cause and cardiovascular mortality. Methods: Data were first analyzed from the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 4582; 56/43% female/male) and UKBiobank (n = 483,385; 54/46% female/male). Genotype-predicted height was calculated using a multi-ancestry polygenic height score. Height-GaP was calculated as the difference between measured and genotype-predicted adult height. Early-life growth conditions were ascertained prospectively via standardized procedures (ALSPAC) and mortality via death register (UKBiobank). Regression models examined: (i) adult height-GaP as the outcome with early-life growth conditions as predictors; and (ii) mortality as the outcome with adult height-GaP as predictor. All models were adjusted for age, sex, genotype-predicted height and genetic ancestry. Analyses were replicated in the Dunedin Multidisciplinary Health and Development Study (DMHDS; n = 855; 49/51% female/male) and the Multi-Ethnic Study of Atherosclerosis (MESA; n = 6352; 52/48% female/male). Results: Here we show that among ALSPAC participants (median [IQR] age: 24 [18-25] years at height-GaP assessment), lower gestational age at birth, greater pre- and post-natal deprivation indices, tobacco smoke exposure and less breastfeeding are associated with larger adult height-GaP deficit (p < 0.01). Among UKBiobank participants (mean ± SD age: 56 ± 8 years at height-GaP assessment), height-GaP deficit is associated with death from all-causes (adjusted hazard ratio comparing highest-to-lowest height-GaP deficit quartile [aHR]: 1.25 95%CI: 1.21–1.29), atherosclerotic cardiovascular disease (aHR: 1.32 95%CI: 1.23–1.42) and coronary heart disease (aHR: 1.64 95%CI: 1.49-1.81). Early- and later-life height-GaP associations replicate in DMHDS and MESA. Conclusions: This study introduces a precision index of early-life growth adversity deployable in adulthood to investigate the developmental origins of longevity and improve health equity across the life course.

Original languageEnglish (US)
Article number534
JournalCommunications Medicine
Volume5
Issue number1
DOIs
StatePublished - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Fingerprint

Dive into the research topics of 'Quantifying the impact of early life growth adversity on later life health'. Together they form a unique fingerprint.

Cite this