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Multi-trajectories of triglyceride-glucose index and lifestyle with Cardiovascular Disease: a cohort study.
Zhou, Hui; Ding, Xiong; Lan, Yulong; Chen, Shuohua; Wu, Shouling; Wu, Dan.
Afiliação
  • Zhou H; Nursing Department, The Third Xiangya Hospital, Central South University, Changsha, China.
  • Ding X; Xiangya School of Nursing, Central South University, Changsha, China.
  • Lan Y; School of Public Health, Wuhan University, Wuhan, China.
  • Chen S; Global Heath Research Center, Duke Kunshan University, Kunshan, Jiangsu Province, China.
  • Wu S; Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
  • Wu D; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
Cardiovasc Diabetol ; 22(1): 341, 2023 12 13.
Article em En | MEDLINE | ID: mdl-38093279
BACKGROUND: Previous studies using trajectory models focused on examining the longitudinal changes in triglyceride-glucose (TyG) levels and lifestyle scores separately, without exploring the joint evolution of these two factors. This study aimed to identify the multi-trajectories of TyG levels and lifestyle scores and assess their association with the risk of cardiovascular disease (CVD). METHODS: The study enrolled 47,384 participants from three health surveys of the Kailuan Study. The TyG index was computed as Ln [fasting triglycerides (mg/dL) × fasting blood glucose (mg/dL)/2], and the lifestyle scores were derived from five factors, including smoking, alcohol consumption, physical activity, sedentary behaviors, and salt intake. A group-based multi-trajectory model was adopted to identify multi-trajectories of TyG levels and lifestyle scores. The association of identified multi-trajectories with incident CVD was examined using Cox proportional hazard model. RESULTS: Five distinct multi-trajectories of TyG levels and lifestyle scores were identified. During a median follow-up period of 10.98 years, 3042 participants developed CVD events (2481 strokes, 616 myocardial infarctions, and 55 co-current stroke and myocardial infarctions). In comparison to group 3 with the lowest TyG levels and the best lifestyle scores, the highest CVD risk was observed in group 5 characterized by the highest TyG levels and moderate lifestyle scores (HR = 1.76, 95% CI: 1.50-2.05). Group 2 with higher TyG levels and the poorest lifestyle scores had a 1.45-fold (95% CI 1.26-1.66) risk of CVD, and group 1 with lower TyG levels and poorer lifestyle scores had a 1.33-fold (95% CI 1.17-1.50) risk of CVD. Group 4, with moderate TyG levels and better lifestyle scores, exhibited the lowest CVD risk (HR = 1.32, 95% CI: 1.18-1.47). CONCLUSIONS: Distinct multi-trajectories of TyG levels and lifestyle scores corresponded to differing CVD risks. The CVD risk caused by a high level TyG trajectory remained increased despite adopting healthier lifestyles. These findings underscored the significance of evaluating the combined TyG and lifestyle patterns longitudinally, and implementing early interventions to reduce CVD risk by lowering TyG levels.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article