Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(2022) In Nutrients 14(15). p.1-13- Abstract
- People appear to vary in their susceptibility to lifestyle risk factors for cardiometabolic disease; determining a priori who is most sensitive may help optimize the timing, design, and delivery of preventative interventions. We aimed to ascertain a person's degree of resilience or sensitivity to adverse lifestyle exposures and determine whether these classifications help predict cardiometabolic disease later in life; we pooled data from two population-based Swedish prospective cohort studies (n = 53,507), and we contrasted an individual's cardiometabolic biomarker profile with the profile predicted for them given their lifestyle exposure characteristics using a quantile random forest approach. People who were classed as 'sensitive' to... (More)
- People appear to vary in their susceptibility to lifestyle risk factors for cardiometabolic disease; determining a priori who is most sensitive may help optimize the timing, design, and delivery of preventative interventions. We aimed to ascertain a person's degree of resilience or sensitivity to adverse lifestyle exposures and determine whether these classifications help predict cardiometabolic disease later in life; we pooled data from two population-based Swedish prospective cohort studies (n = 53,507), and we contrasted an individual's cardiometabolic biomarker profile with the profile predicted for them given their lifestyle exposure characteristics using a quantile random forest approach. People who were classed as 'sensitive' to hypertension- and dyslipidemia-related lifestyle exposures were at higher risk of developing cardiovascular disease (CVD, hazards ratio 1.6 (95% CI: 1.3, 1.91)), compared with the general population. No differences were observed for type 2 diabetes (T2D) risk. Here, we report a novel approach to identify individuals who are especially sensitive to adverse lifestyle exposures and who are at higher risk of subsequent cardiovascular events. Early preventive interventions may be needed in this subgroup. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5277969e-9f61-4cfb-aa4e-e2768f15c84d
- author
- Pomares-Millan, Hugo LU ; Poveda, Alaitz LU ; Atabaki Pasdar, Naeimeh LU ; Björk, Jonas LU ; Ohlsson, Mattias LU ; Giordano, Nick LU and Franks, Paul LU
- contributor
- Johansson, Ingegerd
- organization
-
- EXODIAB: Excellence of Diabetes Research in Sweden
- Genetic and Molecular Epidemiology (research group)
- EPI@LUND (research group)
- Surgery and public health (research group)
- eSSENCE: The e-Science Collaboration
- EpiHealth: Epidemiology for Health
- Artificial Intelligence in CardioThoracic Sciences (AICTS) (research group)
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nutrients
- volume
- 14
- issue
- 15
- article number
- 3171
- pages
- 1 - 13
- publisher
- MDPI AG
- external identifiers
-
- scopus:85136515127
- pmid:35956347
- ISSN
- 2072-6643
- DOI
- 10.3390/nu14153171
- language
- English
- LU publication?
- yes
- id
- 5277969e-9f61-4cfb-aa4e-e2768f15c84d
- date added to LUP
- 2022-09-20 15:45:36
- date last changed
- 2022-09-22 03:00:01
@article{5277969e-9f61-4cfb-aa4e-e2768f15c84d, abstract = {{People appear to vary in their susceptibility to lifestyle risk factors for cardiometabolic disease; determining a priori who is most sensitive may help optimize the timing, design, and delivery of preventative interventions. We aimed to ascertain a person's degree of resilience or sensitivity to adverse lifestyle exposures and determine whether these classifications help predict cardiometabolic disease later in life; we pooled data from two population-based Swedish prospective cohort studies (n = 53,507), and we contrasted an individual's cardiometabolic biomarker profile with the profile predicted for them given their lifestyle exposure characteristics using a quantile random forest approach. People who were classed as 'sensitive' to hypertension- and dyslipidemia-related lifestyle exposures were at higher risk of developing cardiovascular disease (CVD, hazards ratio 1.6 (95% CI: 1.3, 1.91)), compared with the general population. No differences were observed for type 2 diabetes (T2D) risk. Here, we report a novel approach to identify individuals who are especially sensitive to adverse lifestyle exposures and who are at higher risk of subsequent cardiovascular events. Early preventive interventions may be needed in this subgroup.}}, author = {{Pomares-Millan, Hugo and Poveda, Alaitz and Atabaki Pasdar, Naeimeh and Björk, Jonas and Ohlsson, Mattias and Giordano, Nick and Franks, Paul}}, issn = {{2072-6643}}, language = {{eng}}, number = {{15}}, pages = {{1--13}}, publisher = {{MDPI AG}}, series = {{Nutrients}}, title = {{Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality}}, url = {{http://dx.doi.org/10.3390/nu14153171}}, doi = {{10.3390/nu14153171}}, volume = {{14}}, year = {{2022}}, }