Literature DB >> 36129566

The association of measures of body shape and adiposity with incidence of cardiometabolic disease from an ageing perspective.

Fleur L Meulmeester1, Ko Willems van Dijk2,3, Simon P Mooijaart4, Diana van Heemst4, Raymond Noordam4.   

Abstract

While obesity increases the risk of developing cardiometabolic diseases (CMDs), these associations seem to attenuate with increasing age, albeit studied poorly. The present study aimed to investigate the associations between adiposity and CMDs in sex-specific groups of chronological age and leukocyte telomere length (LTL) as a measure of biological age. We investigated the associations between BMI, a body shape index, waist-to-hip ratio (adjusted for BMI) and total body fat, and incident coronary artery disease (CAD), type 2 diabetes (T2D) and ischemic stroke (IS) in 413,017 European-ancestry participants of the UK Biobank without CMD at baseline. We assessed the change in the associations between adiposity and CMD over strata of increasing chronological age or decreasing LTL. Participants (56% women) had a median (IQR) age of 57.0 (50.0-63.0) years. The median follow-up time was 12 years. People with higher BMI had a higher risk of incident CAD (HR 1.14 (95% confidence interval [CI] 1.13, 1.16)), T2D (HR 1.70 (95% CI 1.68, 1.72)) and IS (HR 1.09 (95% CI 1.06, 1.12)). In groups based on chronological age and LTL, adiposity measures were associated with higher risk of CAD and T2D in both men and women, but these associations attenuated with increasing chronological age (Pinteractions < 0.001), but not with decreasing LTL (Pinteraction men = 0.85; Pinteraction women = 0.27). Increased (abdominal) adiposity was associated with higher risk of incident CMDs, which attenuated with increasing chronological age but not with decreasing LTL. Future research may validate these findings using different measures of biological age.
© 2022. The Author(s).

Entities:  

Keywords:  Adiposity; Body composition; Cardiometabolic diseases; Geroscience; UK Biobank

Year:  2022        PMID: 36129566     DOI: 10.1007/s11357-022-00654-9

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  35 in total

1.  Lifestyle factors associated with age-related differences in body composition: the Florey Adelaide Male Aging Study.

Authors:  Evan Atlantis; Sean A Martin; Matthew T Haren; Anne W Taylor; Gary A Wittert
Journal:  Am J Clin Nutr       Date:  2008-07       Impact factor: 7.045

2.  Heterogeneity in healthy aging.

Authors:  David J Lowsky; S Jay Olshansky; Jay Bhattacharya; Dana P Goldman
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-11-17       Impact factor: 6.053

3.  Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus: A Mendelian Randomization Analysis.

Authors:  Caroline E Dale; Ghazaleh Fatemifar; Tom M Palmer; Jon White; David Prieto-Merino; Delilah Zabaneh; Jorgen E L Engmann; Tina Shah; Andrew Wong; Helen R Warren; Stela McLachlan; Stella Trompet; Max Moldovan; Richard W Morris; Reecha Sofat; Meena Kumari; Elina Hyppönen; Barbara J Jefferis; Tom R Gaunt; Yoav Ben-Shlomo; Ang Zhou; Aleksandra Gentry-Maharaj; Andy Ryan; Renée de Mutsert; Raymond Noordam; Mark J Caulfield; J Wouter Jukema; Bradford B Worrall; Patricia B Munroe; Usha Menon; Chris Power; Diana Kuh; Debbie A Lawlor; Steve E Humphries; Dennis O Mook-Kanamori; Naveed Sattar; Mika Kivimaki; Jacqueline F Price; George Davey Smith; Frank Dudbridge; Aroon D Hingorani; Michael V Holmes; Juan P Casas
Journal:  Circulation       Date:  2017-05-12       Impact factor: 29.690

4.  Association of Body Mass Index With Lifetime Risk of Cardiovascular Disease and Compression of Morbidity.

Authors:  Sadiya S Khan; Hongyan Ning; John T Wilkins; Norrina Allen; Mercedes Carnethon; Jarett D Berry; Ranya N Sweis; Donald M Lloyd-Jones
Journal:  JAMA Cardiol       Date:  2018-04-01       Impact factor: 14.676

5.  Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank: A Mendelian Randomization Study.

Authors:  Donald M Lyall; Carlos Celis-Morales; Joey Ward; Stamatina Iliodromiti; Jana J Anderson; Jason M R Gill; Daniel J Smith; Uduakobong Efanga Ntuk; Daniel F Mackay; Michael V Holmes; Naveed Sattar; Jill P Pell
Journal:  JAMA Cardiol       Date:  2017-08-01       Impact factor: 14.676

6.  Causal relationships between obesity and the leading causes of death in women and men.

Authors:  Jenny C Censin; Sanne A E Peters; Jonas Bovijn; Teresa Ferreira; Sara L Pulit; Reedik Mägi; Anubha Mahajan; Michael V Holmes; Cecilia M Lindgren
Journal:  PLoS Genet       Date:  2019-10-24       Impact factor: 5.917

7.  Stratification of Type 2 Diabetes by Age of Diagnosis in the UK Biobank Reveals Subgroup-Specific Genetic Associations and Causal Risk Profiles.

Authors:  Raymond Noordam; Kristi Läll; Roelof A J Smit; Triin Laisk; Andres Metspalu; Tõnu Esko; Lili Milani; Ruth J F Loos; Reedik Mägi; Ko Willems van Dijk; Diana van Heemst
Journal:  Diabetes       Date:  2021-05-10       Impact factor: 9.337

8.  Genetic Association of Waist-to-Hip Ratio With Cardiometabolic Traits, Type 2 Diabetes, and Coronary Heart Disease.

Authors:  Connor A Emdin; Amit V Khera; Pradeep Natarajan; Derek Klarin; Seyedeh M Zekavat; Allan J Hsiao; Sekar Kathiresan
Journal:  JAMA       Date:  2017-02-14       Impact factor: 56.272

9.  Overweight, obesity, and risk of cardiometabolic multimorbidity: pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and Europe.

Authors:  Mika Kivimäki; Eeva Kuosma; Jane E Ferrie; Ritva Luukkonen; Solja T Nyberg; Lars Alfredsson; G David Batty; Eric J Brunner; Eleonor Fransson; Marcel Goldberg; Anders Knutsson; Markku Koskenvuo; Maria Nordin; Tuula Oksanen; Jaana Pentti; Reiner Rugulies; Martin J Shipley; Archana Singh-Manoux; Andrew Steptoe; Sakari B Suominen; Töres Theorell; Jussi Vahtera; Marianna Virtanen; Peter Westerholm; Hugo Westerlund; Marie Zins; Mark Hamer; Joshua A Bell; Adam G Tabak; Markus Jokela
Journal:  Lancet Public Health       Date:  2017-05-19

10.  Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization.

Authors:  Louise A C Millard; Neil M Davies; Kate Tilling; Tom R Gaunt; George Davey Smith
Journal:  PLoS Genet       Date:  2019-02-01       Impact factor: 5.917

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