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Background: Previous studies have demonstrated that both obesity and metabolic heterogeneity impact cardiovascular disease. However, the effect of different body mass index (BMI)-metabolic phenotypes on the progression of cardiometabolic multimorbidity (CMM) remains unclear.
Methods: This study utilized baseline data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, enrolling 5,850 participants for a longitudinal cohort analysis. Laboratory data from 2015 were used to assess 4,471 participants and evaluate the association between BMI-metabolic phenotype transitions (2011-2015) and the incidence of CMM. Participants were categorized into four BMI-metabolic phenotype groups: metabolically healthy normal weight (MHNW), metabolically healthy overweight/obesity (MHOO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight/obesity (MUOO). Logistic regression models adjusted for potential confounders were applied to analyze the relationship between BMI-metabolic phenotypes, their dynamic changes, and CMM incidence.
Results: Among the 5,850 participants, 562 (11.15%) developed CMM during the follow-up period. Both overweight/obesity and metabolically unhealthy status significantly accelerated CMM progression. The MUOO group exhibited the highest risk (OR = 3.31, 95% CI: 2.60-4.24; < 0.001), followed by the MUNW (OR = 1.91, 95% CI: 1.47-2.47; < 0.001) and MHOO groups (OR = 1.89, 95% CI: 1.30-2.69; = 0.001), compared to the MHNW group. Further analysis revealed that changes in metabolic status had a greater impact on CMM risk than changes in BMI alone, with metabolic transitions in individuals with obesity being particularly associated with the onset of CMM.
Conclusion: Worsening metabolic health and obesity significantly increase the risk of CMM. Notably, metabolic health plays a more critical role than obesity in predicting CMM incidence. This study highlights the importance of maintaining and improving metabolic health and suggests personalized obesity management strategies based on metabolic status to reduce CMM risk.
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http://dx.doi.org/10.3389/fnut.2025.1617929 | DOI Listing |
Ann N Y Acad Sci
September 2025
Department of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Assessment of influencing factors is critical for the management of different obesity phenotypes among children and adolescents. We investigated the association between body composition and metabolically unhealthy phenotypes independently or in an interaction with physical activity or sleep, among 7572 children and adolescents with normal weight or overweight/obesity from Guangzhou, China. High body fat percentage (BF%), trunk-to-limb fat ratio (T/L), waist-to-height ratio (WHtR), low soft lean mass percentage (SLM%), and appendicular skeletal muscle percentage (ASM%) were all associated with increased risk of metabolically unhealthy overweight/obesity (MUO) (odds ratios ranging from 1.
View Article and Find Full Text PDFJ Investig Med
September 2025
Unidad de Investigación Biomédica, Delegación Durango, Instituto Mexicano del Seguro Social, Durango, México.
It has been reported that DNA methylation in the epigenetic profile of the genes LEP and ADIPOQ is associated with obesity. To the best of our knowledge, there are no previous reports assessing the methylation of the LEP, LEPR, and ADIPOQ genes in subjects with metabolically healthy obesity (MHO). Therefore, the aim of this study was to determine the association between methylation of the LEP, LEPR, and ADIPOQ genes with the MHO phenotype.
View Article and Find Full Text PDFObes Rev
September 2025
Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, Athens, Greece.
This systematic review examined the etiologic association between physical activity (PA) and indicators of childhood overweight/obesity (OV/OB) and metabolically unhealthy obesity (MUO) risk. Original peer-reviewed English reports published between January 01, 2013, and June 30, 2024, were retrieved from MEDLINE and Scopus. A total of 106 prospective epidemiological studies and randomized controlled trials (RCTs) conducted in Western countries among 2- to 19-year-olds with ≥12-month follow-up were eligible.
View Article and Find Full Text PDFGastroenterol Hepatol
September 2025
Balearic Health Service, Mallorca, Spain; ADEMA-Health Group of IUNICS, Balearic Islands, Spain. Electronic address:
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern, particularly among individuals with obesity. While metabolic and behavioral risk factors have been well described, the role of psychosocial determinants, such as weight stigma, remains underexplored.
Objectives: To assess the association between sociodemographic variables, healthy lifestyle behaviors, and internalized weight stigma with MASLD risk in a large cohort of obese workers across Spain.
Echocardiography
September 2025
Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Objectives: To explore the relationships between cardiac parameters and body composition indices, identifying predictors of subclinical cardiac systolic dysfunction.
Methods: Using anthropometric and serological parameters, echocardiography, and body composition analysis, this study evaluated metabolic profiles, cardiac remodeling patterns, and body composition characteristics in young adult obese patients, while quantifying the correlations between cardiac parameters and body composition indices. Subclinical left ventricular systolic dysfunction was defined as global longitudinal strain (GLS) < 18%.