Volume 25, Issue 8 (Oct-Nov 2018)
RJMS 2018, 25(8): 43-51 |
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nikseresht M, dabidi roshan V, nikseresht M. Prediction of heart failure with lifestyle risk indices and peak oxygen uptake . RJMS 2018; 25 (8) :43-51
URL: http://rjms.iums.ac.ir/article-1-5237-en.html
URL: http://rjms.iums.ac.ir/article-1-5237-en.html
Mazandaran University, Babolsar, Iran , vdabidiroshan@yahoo.com
Abstract: (2967 Views)
Background: Indices of lifestyle (i.e. physical health, exercise-fitness, nutrition, prevention of diseases, mental health, spiritual health, social health, avoid of drugs and narcotics, prevention of events and environmental health), blood pressure and cardiorespiratory fitness associated with coronary artery disease. However, there is limited research about which variables are important. Thus, the aim of this study to predict the heart failure (HF) with indices of lifestyle and physiological (systolic and diastolic blood pressure, ankle brachial index and peak oxygen uptake (VO2 peak).
Methods: The sample included 299 men (aged 50-77 -years) who referred due to heart problem to hospital. The Rose angina questionnaire was used to diagnosis of the HF. In addition, lifestyle and physical activity level questionnaires were completed by the subjects. The VO2 peak was estimated by non-exercise method.
Results: Multiple linear regression showed that the HF was significantly predicted based on lifestyle and physiological indices (R= 0.457, p= 0.0003). By step-by-step method, it was determined that social health, exercise-fitness and prevention of diseases factors were the most important in this prediction, respectively. Partial correlation showed that VO2 peak was inversely associated with HF (R= - 0.213, p= 0.0002), after adjustment for age, weight, body mass index and abdominal.
Conclusion: It seems that the social health, exercise-fitness and prevention of diseases compared with other factors are more effective for predicting the HF in men aged 50-77 years.
Methods: The sample included 299 men (aged 50-77 -years) who referred due to heart problem to hospital. The Rose angina questionnaire was used to diagnosis of the HF. In addition, lifestyle and physical activity level questionnaires were completed by the subjects. The VO2 peak was estimated by non-exercise method.
Results: Multiple linear regression showed that the HF was significantly predicted based on lifestyle and physiological indices (R= 0.457, p= 0.0003). By step-by-step method, it was determined that social health, exercise-fitness and prevention of diseases factors were the most important in this prediction, respectively. Partial correlation showed that VO2 peak was inversely associated with HF (R= - 0.213, p= 0.0002), after adjustment for age, weight, body mass index and abdominal.
Conclusion: It seems that the social health, exercise-fitness and prevention of diseases compared with other factors are more effective for predicting the HF in men aged 50-77 years.
Type of Study: Research |
Subject:
Exercise Physiology
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