Cardiometabolic index and metabolic syndrome in the population over 40 years old in Guiyang city: A prospective cohort study / 中华内分泌代谢杂志
Chinese Journal of Endocrinology and Metabolism
; (12): 639-644, 2022.
Article
em Zh
| WPRIM
| ID: wpr-957600
Biblioteca responsável:
WPRO
ABSTRACT
Objective:
To investigate the relationship between cardiometabolic index and metabolic syndrome in people aged 40 and beyond in Guiyang city.Methods:
A total of 4 506 residents over 40 years(including 3 067 females and 1 439 males) were enrolled in the analysis from those who participated in the epidemiological study of cancer risk in Chinese patients with type 2 diabetes in 2011 in Guiyang City. The cardiometabolic index (CMI) is calculated by triglycerides(TG)/high-density lipoprotein-cholesterol(HDL-C)×waist-to-height ratio (WHtR). Multivariable logistic regression was used to analyze the correlation between cardiometabolic index and metabolic syndrome, and ROC was used to analyze the predictive ability of CMI on the incidence of metabolic syndrome.Results:
The average follow-up period was 3 years. According to the International Diabetes Federation (IDF) diagnostic criteria for metabolic syndrome in 2005, 985 patients (774 women and 211 males) had metabolic syndrome. The incidence rate of metabolic syndrome in the general population was 21.86%, the incidence rate of male metabolic syndrome was 14.66%, and that of women was 25.24%, and the incidence of CMI increased with the increase of the number of women. After multivariable logistic regression analysis, the odds ratio of CMI for metabolic syndrome in women is 1.303(95% CI 1.263-1.344) and 1.724(95% CI 1.162-2.558) in men, respectively. ROC results showed that CMI had a good ability to predict the incidence (AUC 0.759 for men and 0.852 for women).Conclusion:
CMI is positively associated with the incidence of metabolic syndrome. It supports CMI as a useful method to screen metabolic syndrome in China′s general population.
Texto completo:
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Base de dados:
WPRIM
Idioma:
Zh
Revista:
Chinese Journal of Endocrinology and Metabolism
Ano de publicação:
2022
Tipo de documento:
Article