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Association between fat mass through adolescence and arterial stiffness: a population-based study from The Avon Longitudinal Study of Parents and Children

  • Frida Dangardt
  • , Marietta Charakida
  • , Georgios Georgiopoulos
  • , Scott T. Chiesa
  • , Alicja Rapala
  • , Kaitlin H. Wade
  • , Alun D. Hughes
  • , Nicholas J. Timpson
  • , Konstantinos Pateras
  • , Nick Finer
  • , Naveed Sattar
  • , George Davey Smith
  • , Debbie A. Lawlor
  • , John E. Deanfield*
  • *Corresponding author for this work
  • UCL University College London
  • Sahlgrenska Academy and University Hospital
  • Vascular Physiology Unit
  • School of Biomedical Engineering and Imaging Sciences
  • King's College London
  • Sotiria Hospital
  • University of Bristol
  • UMC University Medical Center Utrecht
  • University of Glasgow

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)
135 Downloads (Pure)

Abstract

Background: 

The link between adiposity, metabolic abnormalities, and arterial disease progression in children and adolescents remains poorly defined. We aimed to assess whether persistent high adiposity levels are associated with increased arterial stiffness in adolescence and any mediation effects by common metabolic risk factors. 

Methods: 

We included participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) who had detailed adiposity measurements between the ages 9–17 years and arterial stiffness (carotid to femoral pulse wave velocity [PWV]) measured at age 17 years. Body-mass index (BMI) and waist-to-height ratio were calculated from weight, height, and waist circumference measurements whereas fat mass was assessed using repeated dual-energy x-ray absorptiometry (DEXA) scans. We used total and trunk fat mass indices (FMIs) to classify participants as normal (<75th percentile) or high (>75th percentile) FMI. We classified participants as being metabolically unhealthy if they had three or more of the following risk factors: high levels of systolic blood pressure, triglycerides, or glucose (all >75th percentile) or low levels of high-density lipoprotein (<25th percentile). We used multivariable linear regression analysis to assess the relationship between PWV and exposure to adiposity, and tested for linear trend of PVW levels across ordinal groups. We used latent class growth mixture modelling analysis to assess the effect of longitudinal changes in adiposity indices through adolescence on arterial stiffness. 

Findings: 

We studied 3423 participants (1866 [54·5%] female and 1557 [45·5%] male). Total fat mass was positively associated with PWV at age 17 years (0·004 m/s per kg, 95% CI 0·001–0·006; p=0·0081). Persistently high total FMI and trunk FMI between ages 9 and 17 years were related to greater PWV (0·15 m/s per kg/m2, 0·05–0·24; p=0·0044 and 0·15 m/s per kg/m2, 0·06–0·25; p=0·0021) compared with lower FMI. Metabolic abnormalities amplified the adverse effect of high total FMI on arterial stiffness (PWV 6·0 m/s [95% CI 5·9–6·0] for metabolically healthy participants and 6·2 m/s [5·9–6·4] for metabolically unhealthy participants). Participants who restored normal total FMI in adolescence (PWV 5·8 m/s [5·7–5·9] for metabolically healthy and 5·9 m/s [5·6–6·1] for metabolically unhealthy) had comparable PWV to those who had normal FMI throughout (5·7 m/s [5·7–5·8] for metabolically healthy and 5·9 m/s [5·8–5·9] for metabolically unhealthy). 

Interpretation: 

Persistently high fat mass during adolescence was associated with greater arterial stiffness and was further aggravated by an unfavourable metabolic profile. Reverting to normal FMI in adolescence was associated with normal PWV, suggesting adolescence as an important period for interventions to tackle obesity in the young to maximise long-term vascular health. Funding: UK Medical Research Council, Wellcome Trust, British Heart Foundation, and AFA Insurances

Original languageEnglish
Pages (from-to)474-481
Number of pages8
JournalThe Lancet Child and Adolescent Health
Volume3
Issue number7
Early online date21 May 2019
DOIs
Publication statusPublished - Jul 2019

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

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