Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE
Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE
Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE
Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE
Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE
Socioeconomic status and cardiovascular risk SCORE.BACKGROUND
 The aim of this study was to establish the correlation between SES status and CVD risk assessed according to the SCORE algorithm.


 The cor-relation between the SES and SCORE was established using linear and logistic regression analysis.


 After considering the influence of age, an inverse correlation between the SCORE risk value and the SES index was established, both in the entire group (p = 0.006) and in the men's group (p = 0.007).  The logistic regression analysis demonstrated that, after considering the influence of age, the odds of the SCORE risk value being ≥ 10% were becoming smaller along with the increase in the SES index value in the entire group (p = 0.048) and in the men's group (p = 0.011).  The odds ratio (OR) for the SCORE risk value being ≥ 10% depending on the SES index value was OR = 0.978 (95% confidence interval [CI] 0.956-0.999) in the entire group and OR = 0.964 (95% CI 0.938-0.992) in men.  Furthermore, we also established that the risk of SCORE ≥ 5% decreased with the increase in the SES index value in the women's group (OR = 0.970; 95% CI 0.941-0.999; p = 0.042).


 1. We demonstrated a statistically significant correlation between the SES and the CVD risk assessed according to the SCORE algorithm.  2. The value of the CVD risk according to SCORE was inversely correlated with SES status.
SCORE