Frontiers in public health · 2026
The trajectory and influencing factors of health-promoting behavior in patients after aortic dissection surgery: a longitudinal study.
СтатьяНазвание и аннотация: Перевод в очереди
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He Zhengkun, Pei Haiyan, Chen Qu, Fan Chaolin, Shan Zhonggui, Wang Yizhen, Chen Yan
Аннотация
BACKGROUND: Health-promoting behavior are important in improving health outcome indicators for patients after aortic dissection surgery. However, there has been limited research on the trajectory of health-promoting behavior among Chinese aortic dissection patients.
AIMS: To explore the trajectory of health-promoting behavior in patients after aortic dissection surgery and identify influencing factors.
METHODS: This prospective longitudinal study included patients who underwent aortic dissection at the cardiovascular surgery of Xiamen Hospital from August to December 2024. Patients with aortic dissection were evaluated at discharge (T0), 1 month (T1), 3 months (T2), and 6 months (T3) after the operation. Using the health-promoting behavior scale evaluated health-promoting behavior. Growth mixture model (GMM) analysis was used to identify heterogeneous health-promoting behavior subgroups in the four observation periods. Univariate and logistic regression analyses were used to identify factors affecting health-promoting behavior classification and independent risk factors.
RESULTS: We identified three health-promoting behavior trajectories among aortic dissection patients: low-stability group (33.80%), medium-volatility group (43.20%) and high-increasing group trajectory groups (23%). Compared to the low-stability group, logistic regression analysis indicates that in the medium-volatility group, age (OR = 0.950, 95%CI: 0.925-0.975, p < 0.001) and having a history of hypertension (OR = 1.941, 95%CI: 1.049-3.590, p = 0.035) were significant influencing factors. The comparative Logistic regression analysis results between the high-increasing group and the low-stability group showed that age (OR = 0.923, 95%CI: 0.892-0.954, p < 0.001), educational level (OR = 2.507, 95%CI: 1.503-4.182, p < 0.001) and a history of hypertension (OR = 6.613, 95%CI: 3.056-14.313, p < 0.001) were both significant influencing factors.
CONCLUSION: We identified three health-promoting behavior trajectories, highlighting a significant heterogeneity in health-promoting behavior development. Understanding the characteristics of these developmental trajectories is crucial for realizing the dynamics of different health-promoting behavior subgroups and informing effective interventions.
AIMS: To explore the trajectory of health-promoting behavior in patients after aortic dissection surgery and identify influencing factors.
METHODS: This prospective longitudinal study included patients who underwent aortic dissection at the cardiovascular surgery of Xiamen Hospital from August to December 2024. Patients with aortic dissection were evaluated at discharge (T0), 1 month (T1), 3 months (T2), and 6 months (T3) after the operation. Using the health-promoting behavior scale evaluated health-promoting behavior. Growth mixture model (GMM) analysis was used to identify heterogeneous health-promoting behavior subgroups in the four observation periods. Univariate and logistic regression analyses were used to identify factors affecting health-promoting behavior classification and independent risk factors.
RESULTS: We identified three health-promoting behavior trajectories among aortic dissection patients: low-stability group (33.80%), medium-volatility group (43.20%) and high-increasing group trajectory groups (23%). Compared to the low-stability group, logistic regression analysis indicates that in the medium-volatility group, age (OR = 0.950, 95%CI: 0.925-0.975, p < 0.001) and having a history of hypertension (OR = 1.941, 95%CI: 1.049-3.590, p = 0.035) were significant influencing factors. The comparative Logistic regression analysis results between the high-increasing group and the low-stability group showed that age (OR = 0.923, 95%CI: 0.892-0.954, p < 0.001), educational level (OR = 2.507, 95%CI: 1.503-4.182, p < 0.001) and a history of hypertension (OR = 6.613, 95%CI: 3.056-14.313, p < 0.001) were both significant influencing factors.
CONCLUSION: We identified three health-promoting behavior trajectories, highlighting a significant heterogeneity in health-promoting behavior development. Understanding the characteristics of these developmental trajectories is crucial for realizing the dynamics of different health-promoting behavior subgroups and informing effective interventions.