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Assessment of six surrogate insulin resistance indexes for predicting cardiometabolic multimorbidity incidence in Chinese middle-aged and older populations: Insights from the China health and retirement longitudinal study.
Xiao, Danrui; Sun, Honglin; Chen, Long; Li, Xiang; Huo, Huanhuan; Zhou, Guo; Zhang, Min; He, Ben.
Afiliación
  • Xiao D; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Sun H; Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Chen L; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li X; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Huo H; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhou G; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang M; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • He B; Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Diabetes Metab Res Rev ; 40(1): e3764, 2024 Jan.
Article en En | MEDLINE | ID: mdl-38287717
ABSTRACT

AIMS:

Insulin resistance (IR) is associated with cardiometabolic multimorbidity (CMM). We aimed to explore the predictive value of six surrogate IR indexes-Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), triglyceride-glucose (TyG), atherogenic index of plasma (AIP), TyG-body mass index (TyGBMI), and TyG-waist circumference (TyGwaist)-to establish the CMM incidence in Chinese middle-aged and older populations. MATERIAL AND

METHODS:

To estimate the odds ratio (OR) with a 95% confidence interval (95% CI) for incident CMM using six surrogates, we analysed data from the China Health and Retirement Longitudinal Study using multivariate logistic regression models. The nonlinear dose-response correlation was evaluated using restricted cubic spline analysis; predictive performance was assessed using receiver operator characteristic curves.

RESULTS:

Among 6451 eligible participants, 268 (4.2%) developed CMM during the 4-year follow-up period. The ORs (95% CI) for incident CMM increased with increasing CVAI quartiles (Q) [Q2 1.71, 1.03-2.90; Q3 2.72, 1.70-4.52; Q4 5.16, 3.29-8.45; all p < 0.05] after full adjustment, with Q1 as the reference. Other indexes yielded similar results. These associations remained significant in individuals with a normal body mass index. Notably, CVAI, AIP, and TyG exhibited a linear dose-response relationship with CMM (Pnonlinear ≥0.05), whereas LAP, TyGBMI, and TyGwaist displayed significant nonlinear correlations (Pnonlinear <0.05). The area under the curve for the CVAI (0.691) was significantly superior to that of other indexes (all p < 0.05).

CONCLUSIONS:

The six IR surrogates were independently associated with CMM incidence. CVAI may be the most appropriate indicator for predicting CMM in middle-aged and older Chinese populations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Enfermedades Cardiovasculares Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: Diabetes Metab Res Rev Asunto de la revista: ENDOCRINOLOGIA / METABOLISMO Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Enfermedades Cardiovasculares Tipo de estudio: Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged País/Región como asunto: Asia Idioma: En Revista: Diabetes Metab Res Rev Asunto de la revista: ENDOCRINOLOGIA / METABOLISMO Año: 2024 Tipo del documento: Article País de afiliación: China
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