Volume 11, Issue 1 (1-2026)
CJHR 2026, 11(1): 0-0 |
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Monfared A, Jansar Hosseini L, Kazeminezhad Leili E, Moaddab F. Association of Health-Promoting Lifestyle with Cardiometabolic Risk Factors in Patients with Cardiovascular Disease. CJHR 2026; 11 (1)
URL: http://cjhr.gums.ac.ir/article-1-441-en.html
URL: http://cjhr.gums.ac.ir/article-1-441-en.html
1- Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
2- Department of Nursing, Nursing school, Kassel, Germany
3- Department of Biostatistics, Social Determinants of Health Research Center, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
4- Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran ,f.moaddab89@gmail.com
2- Department of Nursing, Nursing school, Kassel, Germany
3- Department of Biostatistics, Social Determinants of Health Research Center, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
4- Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran ,
Abstract: (72 Views)
Background: Lifestyle encompasses a wide range of daily habits and behaviors such as diet, physical activity, smoking, weight management, and stress control. These factors may directly and indirectly affect cardiometabolic risk factors and overall health status.
Objectives: The aim of this study was to determine the lifestyle status of patients with cardiovascular disease and its association with cardiometabolic risk factors.
Materials & Methods: This cross-sectional study was conducted on 120 patients with cardiovascular disease, selected through convenience sampling from a super-specialty heart center in Guilan province, northern Iran. Data were collected using a demographic and clinical characteristics form and the Health-Promoting Lifestyle Questionnaire. Statistical analyses were performed using the Spearman correlation coefficient, Mann–Whitney U test, Kruskal–Wallis test, and hierarchical multiple linear regression, with a significance level set at P < 0.05.
Results: The mean of lifestyle score in patients was 126 (standard deviation=24.3), and the majority of samples (61.7%) had unhealthy lifestyle. To investigate the role of lifestyle and its dimensions in predicting cardiometabolic outcomes, spiritual growth component of lifestyle emerged as a significant predictor of triglyceride level (β=0.69, P <0.023); the nutrition component emerged as a significant predictor of total cholesterol level (β = -0.88, P <005), and the stress management component was a significant predictor of HDL level (β = -0.15, P < 0.03).
Conclusion: These findings indicate that improving different lifestyle dimensions can be considered as an effective strategy in controlling cardiometabolic risk factors, and the importance of each of these dimensions in improving cardiometabolic health indicators is emphasized.
Objectives: The aim of this study was to determine the lifestyle status of patients with cardiovascular disease and its association with cardiometabolic risk factors.
Materials & Methods: This cross-sectional study was conducted on 120 patients with cardiovascular disease, selected through convenience sampling from a super-specialty heart center in Guilan province, northern Iran. Data were collected using a demographic and clinical characteristics form and the Health-Promoting Lifestyle Questionnaire. Statistical analyses were performed using the Spearman correlation coefficient, Mann–Whitney U test, Kruskal–Wallis test, and hierarchical multiple linear regression, with a significance level set at P < 0.05.
Results: The mean of lifestyle score in patients was 126 (standard deviation=24.3), and the majority of samples (61.7%) had unhealthy lifestyle. To investigate the role of lifestyle and its dimensions in predicting cardiometabolic outcomes, spiritual growth component of lifestyle emerged as a significant predictor of triglyceride level (β=0.69, P <0.023); the nutrition component emerged as a significant predictor of total cholesterol level (β = -0.88, P <005), and the stress management component was a significant predictor of HDL level (β = -0.15, P < 0.03).
Conclusion: These findings indicate that improving different lifestyle dimensions can be considered as an effective strategy in controlling cardiometabolic risk factors, and the importance of each of these dimensions in improving cardiometabolic health indicators is emphasized.
Article Type: Original Contributions |
Subject:
Health Management
Received: 2025/09/2 | Accepted: 2025/11/1 | Published: 2026/01/20
Received: 2025/09/2 | Accepted: 2025/11/1 | Published: 2026/01/20
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