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Age-specific differences in association of glycosylated hemoglobin levels with the prevalence of cardiovascular diseases among nondiabetics: the National Health and Nutrition Examination Survey 2005-2018.
Fan, Ruihan; Li, Shuna; Xue, Zihan; Yang, Ruida; Lyu, Jun; He, Hairong.
Afiliación
  • Fan R; Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, 710061, People's Republic of China.
  • Li S; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
  • Xue Z; Department of Clinical Research, The First Affiliated Hospital of Jinan University, Tianhe District, 613 W. Huangpu Avenue, Guangzhou, Guangdong, 510632, People's Republic of China.
  • Yang R; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
  • Lyu J; School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
  • He H; Department of Clinical Research, The First Affiliated Hospital of Jinan University, Tianhe District, 613 W. Huangpu Avenue, Guangzhou, Guangdong, 510632, People's Republic of China. lyujun2020@jnu.edu.cn.
BMC Cardiovasc Disord ; 24(1): 310, 2024 Jun 19.
Article en En | MEDLINE | ID: mdl-38898403
ABSTRACT

BACKGROUND:

Previous research has supported the presence of an association between high glycated hemoglobin (HbA1c) levels and cardiovascular disease (CVD). The objective of the present study was to determine whether increased HbA1c levels are associated with high CVD prevalence among nondiabetics. Furthermore, we aimed to explore the possible interaction of HbA1c levels and age in regard to CVD.

METHODS:

This cross-sectional study analyzed data of 28,534 adult participants in the National Health and Nutrition Examination Survey 2005-2018. The association between HbA1c and CVD was assessed using univariate and multivariate logistic regression models. Propensity score matching was used to reduce selection bias. Subgroup analysis and restricted cubic spline (RCS) were used to further characterize the association between HbA1c levels and CVD. We modeled additive interactions to further assess the relationship between HbA1c levels and age.

RESULTS:

In the multivariate logistic regression model, a positive association was found between CVD and increased HbA1c levels (highest quartile [Q4] vs. lowest quartile [Q1] odds ratio [OR] = 1.277, 95% confidence interval [CI] = 1.111-1.469, P = 0.001). In the stratified analyses, the adjusted association between HbA1c and CVD was significant for those younger than 55 years (Q4 vs. Q1 OR = 1.437, 95% CI = 1.099-1.880, P = 0.008). RCS did not reveal a nonlinear relationship between HbA1c levels and CVD among nondiabetics (P for nonlinearity = 0.609). Additionally, a high HbA1c level was favorably connected with old age on CVD, with a synergistic impact.

CONCLUSIONS:

Increased HbA1c levels were associated with high CVD prevalence among nondiabetics. However, we still need to carefully explain the effect of age on the relationship between HbA1c and CVD in nondiabetic population. Given the correlations of HbA1c with CVDs and CV events, HbA1c might be a useful indicator for predicting CVDs and CV events in the nondiabetic population.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Hemoglobina Glucada / Biomarcadores / Enfermedades Cardiovasculares / Encuestas Nutricionales País/Región como asunto: America do norte Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Hemoglobina Glucada / Biomarcadores / Enfermedades Cardiovasculares / Encuestas Nutricionales País/Región como asunto: America do norte Idioma: En Revista: BMC Cardiovasc Disord Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2024 Tipo del documento: Article