Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Aug;8(4):3058-3069.
doi: 10.1002/ehf2.13403. Epub 2021 May 2.

Combined associations of obesity and metabolic health with subclinical left ventricular dysfunctions: Danyang study

Affiliations

Combined associations of obesity and metabolic health with subclinical left ventricular dysfunctions: Danyang study

Ye Wang et al. ESC Heart Fail. 2021 Aug.

Abstract

Aims: The association of strictly defined metabolic healthy obese (MHO) with subclinical cardiac function was unclear. Our study aims to examine the role of MHO in subclinical cardiac dysfunction in a Chinese population.

Methods and results: The study subjects were recruited from Danyang from 2017 to 2019. Obesity was defined by body mass index (BMI) categories (normal weight, overweight and obesity). Metabolic health was strictly defined as having neither any of the guidelines recommended metabolic syndrome components nor insulin resistance. Thus, subjects were grouped by BMI categories and metabolic health status as six groups. Preclinical systolic (global longitudinal strain [GLS]) and diastolic function were assessed by 2D speckle tracking, and transmitral and tissue Doppler imaging, respectively. The 2757 participants (mean age ± standard deviation, 52.7 ± 11.7 years) included 1613 (58.5%) women, 999 (36.2%) obese, 2080 (75.4%) metabolically unhealthy and 93 (3.4%) MHO participants. After adjustment for covariates, the trend was similar for left ventricular (LV) ejection fraction (Ptrend ≥ 0.07) but significantly worse for GLS, e' and E/e' (Ptrend ≤ 0.02) across the six groups or passing from normal weight to obese individuals irrespective of metabolic status. MHO participants had lower GLS (20.4 vs. 21.4%) and e' (9.6 vs. 10.6 cm/s) compared with controls (P < 0.0001) but had similar GLS (P = 0.47) compared with metabolically unhealthy obese (MUO). Regardless of obesity status, metabolically unhealthy participants had worse diastolic function compared with their metabolically healthy counterparts (P ≤ 0.0004). Compared with controls, MHO individuals were at higher risk of subclinical LV systolic dysfunction (OR = 3.44, 95% CI = 1.25-9.49, P = 0.02). These results were robust to sensitivity analysis.

Conclusions: MHO was substantially associated with worse subclinical systolic function although early diastolic dysfunction seemed to be more accentuated in MUO.

Keywords: Insulin resistance; Metabolic status; Obesity; Subclinical myocardial abnormalities.

PubMed Disclaimer

Conflict of interest statement

None declared.

Figures

Figure 1
Figure 1
Comparisons of crude mean values of systolic and diastolic function measures among study groups. (A) Left ventricular ejection fraction. (B) Global longitudinal strain. (C) e′. (D) E/e′ ratio. White and black bars indicate mean values of echocardiography parameters in metabolically healthy and unhealthy individuals, respectively. The P‐value for trend across six groups (in the order of MHNW, MHOW, MHO, MUNW, MUOW and MUO) and across obesity groups (in the order of normal weight, overweight and obese) stratified by metabolically healthy status are given, respectively. *P < 0.05; **P < 0.01; ***P < 0.001; metabolically unhealthy vs. healthy counterparts. & P < 0.05; && P < 0.01; &&& P < 0.001; obese vs. normal weight individuals. MHNW, metabolically healthy normal weight; MHOW, metabolically overweight; MHO, metabolically healthy obese; MUNW, metabolically unhealthy normal weight; MUOW, metabolically overweight; MUO, metabolically unhealthy obese. Metabolic health was defined as individuals having none of five metabolic syndrome components and without insulin resistance.
Figure 2
Figure 2
Comparisons of adjusted mean values of systolic and diastolic function measures among study groups after multivariable adjustment. (A) Left ventricular ejection fraction. (B) Global longitudinal strain. (C) e′. (D) E/e′ ratio. White and black bars indicate adjusted mean values of echocardiography parameters in metabolically healthy and unhealthy individuals, respectively. The analysis was adjusted for age, sex, heart rate, current smoking and alcohol drinking, education, physical activity, γ‐glutamyltransferase, estimated glomerular filtration rate, LVMI, LVEF (except for measure of LVEF) and e′ as a marker of diastolic dysfunction (except for measures of diastolic function). The P‐value for trend across six groups (in the order of MHNW, MHOW, MHO, MUNW, MUOW and MUO) and across obesity groups (in the order of normal weight, overweight and obese) stratified by metabolically healthy status are given, respectively. *P < 0.05; **P < 0.01; ***P < 0.001; metabolically unhealthy vs. healthy counterparts. & P < 0.05; && P < 0.01; &&& P < 0.001; obese vs. normal weight individuals. MHNW, metabolically healthy normal weight; MHOW, metabolically overweight; MHO, metabolically healthy obese; MUNW, metabolically unhealthy normal weight; MUOW, metabolically overweight; MUO, metabolically unhealthy obese. Definition of metabolic health is the same as Figure 1 .
Figure 3
Figure 3
Multivariate odds ratios of subclinical left ventricular systolic dysfunction in study groups. The metabolically healthy normal weight participants were considered as a reference group. The analysis was adjusted for age, sex, heart rate, current smoking and alcohol drinking, education, physical activity, γ‐glutamyltransferase, estimated glomerular filtration rate, LVMI, LVEF and e′ velocity. Definition of metabolic health is the same as Figure 1 .

References

    1. GBD 2015 Obesity Collaborators . Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med 2017; 377: 13–27. - PMC - PubMed
    1. Chrysi K, Stavros L. Obesity and cardiovascular disease: revisiting an old relationship. Metabolism 2019; 92: 98–107. - PubMed
    1. Savji N, Meijers WC, Bartz TM, Bhambhani V, Cushman M, Nayor M, Kizer JR, Sarma A, Blaha MJ, Gansevoort RT, Gardin JM, Hillege HL, Ji F, Kop WJ, Lau ES, Lee DS, Sadreyev R, van Gilst WH, Wang TJ, Zanni MV, Vasan RS, Allen NB, Psaty BM, van der Harst P, Levy D, Larson M, Shah SJ, de Boer RA, Gottdiener JS, Ho JE. The association of obesity and cardiometabolic traits with incident HFpEF and HFrEF. JACC Heart Fail 2018; 6: 701–709. - PMC - PubMed
    1. Harada T, Obokata M. Obesity‐related heart failure with preserved ejection fraction: pathophysiology, diagnosis, and potential therapies. Heart Fail Clin 2020; 16: 357–368. - PubMed
    1. Stefan N, Häring HU, Hu FB, Schulze MB. Metabolically healthy obesity: epidemiology, mechanisms, and clinical implications. Lancet Diabetes Endocrinol 2013; 1: 152–162. - PubMed

Publication types

LinkOut - more resources