Original Research Article
Year: 2017 | Month: March | Volume: 2 | Issue: 1 | Pages: 1-7
Designing Cardiovascular Disease Management Model for Drivers of Iran during 2006-2015
Majid Tajik1, Fereidoun Nouhi2, Mokhtar Malekpour3, Akbar Nikpajoh4, Komeil Mahjouri5
1PhD Candidate of Health management, Shakhes Pajouh Research Institute, Isfahan University, Tehran, Iran
2Professor, Research Center of Shahid Rajaei University, Department of Cardiovascular Diseases, Tehran, Iran,
3Professor, Isfahan Medical Sciences University, Department of Exceptional Children, Isfahan, Iran,
4Assisstant Professor, Research Center of Shahid Rajaei Hospital, Department of Cardiovascular Prevention Research, Tehran, Iran,
5PhD Candidate of Agricultural Economics, University of Mashhad, Advisor of Statistics,
Corresponding author: Majid Tajik
ABSTRACT
Background: This study aimed to evaluate the risk factors among drivers due to the nature of the job, mostly in groups considered at high risk in order to design cardiovascular disease management model that is a necessity for our country.
Method: This is an applied study in terms of objective, it is also a survey study. Data analysis method is correlational regression analysis. The main risk factors for cardiovascular disease include data variables, demographic and geographical characteristics. we analyze data by T test and correlation coefficient; in order to test the first hypothesis, ANOVA was used. F value was used to test the hypotheses, and path analysis (estimating by partial least square method) was used to test other hypotheses. In the next step in the modeling, refining and final variables were used to evaluate the model. Finally, the proposed model was applied.
Findings: Studies have shown that the average age of drivers was 40.97 years old, the average of work experience was 11.82, and the average of BMI was 27.2 kg/m2 that showed an overweight. According to mean values of 80.4 for diastolic pressure, and 117.2 for systolic pressure, the drivers are at risk high blood pressure. The average value of TG (triglycerides) equaled 169.5. And the average value of CHOL equaled 184.2 that is over 150, so in this respect, the drivers are at the border risk. The average value of FBS equaled 93.02 close to the risk and the deppression equaled 47.93, and the average standard of health is 30-70. The average of smoking equaled 3.46. Also according to results of heart disease, on average, 8.22 percent of drivers suffer heart disease. The main components of risk factors include abdominal fat mass, diastolic blood pressure, depression, fbs, cigar and triglycerides and geographical factors affecting risk factors including air temperature and humidity rate. Principal component associated demographic risk factors include age and experience in driving.
Conclusion: The results show that the relationship between demographic variables and risk factors is positive and significant in the sense that the main risk factors among drivers are ages and experience of work.
The results have shown that the relationship between the two variables of geographical features and risk factors is negative and significant. The results related to the relationship between risk factor and heart disease is positive and significant; this means that there is a relationhip between the model of health management and reduction of cardiovascular disease. This kind of analysis can be helpful in setting realistic goals, diagnosis and prediction of risk factors and management and futurists of officials; this model can be also effective for other diseases and related topics in the field of Health and Medical Education.
Key words: cardiovascular disease, National model, drivers