Back

Obesity and metabolic abnormalities: differential associations with subclinical atherosclerosis

Gonzalez, S. A.; Schiavone, M. A.; Pinero, F.; Melchiori, R.; Brenzoni, N.; Garcia, G.; Alarcon, P.; Ferroni, F.; Baratta, S.; Castellaro, C. E.

2025-03-30 cardiovascular medicine
10.1101/2025.03.29.25324870 medRxiv
Show abstract

Background & AimsObesity is associated with an increased risk of atherosclerosis, though recent evidence shows conflicting results. This study aimed to evaluate whether obesity or its associated metabolic abnormalities play a more significant role in atherosclerosis development in a primary care population. MethodsA cross-sectional study using data from the Cardiometabolic Risk Factor Registry (CARFARE) at Hospital Universitario Austral included adults undergoing their first healthcare visit for primary cardiovascular prevention. Participants were classified into four groups: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUNO), and metabolically unhealthy obese (MUO), according to the BioShare-EU criteria and body mass index. Metabolic abnormalities (MAs) were defined by the same criteria. Atherosclerosis prevalence was analyzed using univariate analysis and multivariable logistic regression models. ResultsAmong 6,735 participants, 23.3% were MHNO, 3.13% MHO, 45.6% MUNO, and 25.9% MUO. MHO subjects were 10.1% of the obese population. In univariate analysis, atherosclerosis prevalence was higher in obese than non-obese individuals (57.1% vs. 52.0%, p=0.001), but lower in MHNO and MHO compared to MUNO and MUO groups (33.1% and 34.4% vs. 60.4% and 59.5%, p<0.0001). In multivariate regressions, these latter groups presented an increased adjusted odds ratio (aOR) of atherosclerosis compared to MHNO, while atherosclerosis prevalence was no different between the MHO and MHNO groups [aOR: 0.79 (95% CI 0.55-1.11)]. Moreover, in a second logistic regression model, MAs were independently associated with atherosclerosis [aOR: 1.84 (95% CI: 1.60-2.11)], while obesity was not [aOR: 0.91 (95% CI: 0.79-1.04)]. ConclusionIn this primary care population, the MHO phenotype was not associated with increased atherosclerosis. MAs, rather than obesity alone, were independently associated with atherosclerosis. These findings highlight the need for further longitudinal studies to clarify the interactions between obesity and metabolic health in atherosclerosis development.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Atherosclerosis
29 papers in training set
Top 0.1%
15.2%
2
European Journal of Preventive Cardiology
13 papers in training set
Top 0.1%
15.2%
3
Journal of Clinical Medicine
91 papers in training set
Top 0.1%
12.9%
4
PLOS ONE
4510 papers in training set
Top 23%
7.4%
50% of probability mass above
5
BMJ Open
554 papers in training set
Top 4%
5.0%
6
Journal of the American Heart Association
119 papers in training set
Top 1%
5.0%
7
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 0.8%
4.4%
8
BMC Cardiovascular Disorders
14 papers in training set
Top 0.6%
2.7%
9
Scientific Reports
3102 papers in training set
Top 44%
2.7%
10
Open Heart
19 papers in training set
Top 0.5%
2.4%
11
The American Journal of Cardiology
15 papers in training set
Top 0.9%
1.8%
12
Cancers
200 papers in training set
Top 3%
1.7%
13
Arteriosclerosis, Thrombosis, and Vascular Biology
65 papers in training set
Top 1%
1.5%
14
International Journal of Obesity
25 papers in training set
Top 0.4%
1.1%
15
BMJ Open Diabetes Research & Care
15 papers in training set
Top 0.8%
1.0%
16
PeerJ
261 papers in training set
Top 11%
1.0%
17
Heliyon
146 papers in training set
Top 4%
0.9%
18
Obesity
19 papers in training set
Top 0.4%
0.9%
19
Stroke
35 papers in training set
Top 0.7%
0.9%
20
International Journal of Environmental Research and Public Health
124 papers in training set
Top 6%
0.8%
21
Cureus
67 papers in training set
Top 4%
0.8%
22
Nutrients
64 papers in training set
Top 2%
0.8%
23
BMC Medicine
163 papers in training set
Top 7%
0.8%
24
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 1%
0.7%
25
International Journal of Epidemiology
74 papers in training set
Top 3%
0.7%
26
Frontiers in Neurology
91 papers in training set
Top 6%
0.5%
27
Frontiers in Pediatrics
29 papers in training set
Top 1%
0.5%
28
Journal of Internal Medicine
12 papers in training set
Top 0.9%
0.5%