Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits

Poveda, Alaitz LU orcid ; Pomares-Millan, Hugo LU orcid ; Chen, Yan LU ; Kurbasic, Azra LU ; Patel, Chirag J. LU ; Renström, Frida LU ; Hallmans, Göran ; Johansson, Ingegerd and Franks, Paul W. LU (2022) In Scientific Reports 12.
Abstract

The present study assessed the temporal associations of ~ 300 lifestyle exposures with nine cardiometabolic traits to identify exposures/exposure groups that might inform lifestyle interventions for the reduction of cardiometabolic disease risk. The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed models were used to assess the average associations of lifestyle exposures and linear regression models were used to test associations with 10-year change in the cardiometabolic traits. ‘Physical activity’ and ‘General Health’ were the exposure categories containing the highest number of ‘tentative signals’ in analyses assessing the average association of lifestyle... (More)

The present study assessed the temporal associations of ~ 300 lifestyle exposures with nine cardiometabolic traits to identify exposures/exposure groups that might inform lifestyle interventions for the reduction of cardiometabolic disease risk. The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed models were used to assess the average associations of lifestyle exposures and linear regression models were used to test associations with 10-year change in the cardiometabolic traits. ‘Physical activity’ and ‘General Health’ were the exposure categories containing the highest number of ‘tentative signals’ in analyses assessing the average association of lifestyle variables, while ‘Tobacco use’ was the top category for the 10-year change association analyses. Eleven modifiable variables showed a consistent average association among the majority of cardiometabolic traits. These variables belonged to the domains: (i) Smoking, (ii) Beverage (filtered coffee), (iii) physical activity, (iv) alcohol intake, and (v) specific variables related to Nordic lifestyle (hunting/fishing during leisure time and boiled coffee consumption). We used an agnostic, data-driven approach to assess a wide range of established and novel risk factors for cardiometabolic disease. Our findings highlight key variables, along with their respective effect estimates, that might be prioritised for subsequent prediction models and lifestyle interventions.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
12
article number
4088
publisher
Nature Publishing Group
external identifiers
  • pmid:35260745
  • scopus:85126079444
ISSN
2045-2322
DOI
10.1038/s41598-022-08050-1
language
English
LU publication?
yes
id
cdb4d0c9-530d-416d-94f3-d6a0be80b451
date added to LUP
2022-04-20 16:37:08
date last changed
2025-02-11 08:44:21
@article{cdb4d0c9-530d-416d-94f3-d6a0be80b451,
  abstract     = {{<p>The present study assessed the temporal associations of ~ 300 lifestyle exposures with nine cardiometabolic traits to identify exposures/exposure groups that might inform lifestyle interventions for the reduction of cardiometabolic disease risk. The analyses were undertaken in a longitudinal sample comprising &gt; 31,000 adults living in northern Sweden. Linear mixed models were used to assess the average associations of lifestyle exposures and linear regression models were used to test associations with 10-year change in the cardiometabolic traits. ‘Physical activity’ and ‘General Health’ were the exposure categories containing the highest number of ‘tentative signals’ in analyses assessing the average association of lifestyle variables, while ‘Tobacco use’ was the top category for the 10-year change association analyses. Eleven modifiable variables showed a consistent average association among the majority of cardiometabolic traits. These variables belonged to the domains: (i) Smoking, (ii) Beverage (filtered coffee), (iii) physical activity, (iv) alcohol intake, and (v) specific variables related to Nordic lifestyle (hunting/fishing during leisure time and boiled coffee consumption). We used an agnostic, data-driven approach to assess a wide range of established and novel risk factors for cardiometabolic disease. Our findings highlight key variables, along with their respective effect estimates, that might be prioritised for subsequent prediction models and lifestyle interventions.</p>}},
  author       = {{Poveda, Alaitz and Pomares-Millan, Hugo and Chen, Yan and Kurbasic, Azra and Patel, Chirag J. and Renström, Frida and Hallmans, Göran and Johansson, Ingegerd and Franks, Paul W.}},
  issn         = {{2045-2322}},
  language     = {{eng}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits}},
  url          = {{http://dx.doi.org/10.1038/s41598-022-08050-1}},
  doi          = {{10.1038/s41598-022-08050-1}},
  volume       = {{12}},
  year         = {{2022}},
}