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Health behavior and health-related quality of life in patients with a high risk of cardiovascular disease Cover

Health behavior and health-related quality of life in patients with a high risk of cardiovascular disease

Open Access
|Jan 2018

Figures & Tables

Table 1

Demographic characteristics of patients with a high risk for CVD.

Characteristics (N of the sample)N (%)
Gender (men) (N=837)539 (64.4)
Marital status (married or cohabitating) (N=871)610 (70.0)
Ethnical group (predominant) (N=871)1707 (81.2)
Education (secondary school or more) (N=757)2478 (63.1)
Income (yes) (N=784)3724 (92.3)
Social class (N=750)4lower164 (21.9)
middle559 (74.5)
high27 (3.6)
Frequency of attendance of the practice/year (N=782)0-3266 (34.0)
4-7413 (52.8)
8 or more103 (13.2)

Legend:

1 the predominant ethnical group (Slovenian) vs. ethnical minorities

2 secondary school or more vs. primary school

3 any form of regular income (salary, pension)

4 self-assessed social class: low, medium, high

Table 2

Risk factors for CVD, dichotomised according to target level.

Risk factorN (%)
Cholesterol <5 mmol/L (N=745)202 (27.1)
Healthy diet1 (>18 points)1 (N=691)19 (2.7)
BMI2 <30 kg/m2 (N=597)350 (58.6)
Glu <6 mmol/L (6 or less) (N=758)612 (80.7)
RR <140/90 mm Hg (N=871)303 (34.8)
Non-smoker (N=778)604 (N=77.6)
Physical activity3 (N=712)305 (42.8)
Uncontrolled risk factors (N=487)41-2168 (34.5)
3-4292 (60.0)
527 (5.5)

Legend:

1 according to the REAP-S questionnaire

1 according to the REAP-S questionnaire

2 body mass index

3 the adequate physical activity according to RAPA questionnaire

4 blood pressure, value of cholesterol, smoking, BMI, physical activity

Table 3

Descriptive results on HRQoL for each dimension and each level.

Mobility (N, %) N=778Self care (N, %) N=773Usual activities (N, %) N=771Pain- discomfort (N, %) N=769Anxiety/depression (N, %) N=764
Without problems460 (59.1)734 (95.0)500 (64.9)250 (32.5)503 (65.8)
Moderate problems318 (40.9)36 (4.7)254(32.9)476 (61.9)353 (33.1)
Severe problems03 (0.4)17 (2.2)43 (5.6)8 (1.0)
Table 4

Predictors of HRQoL in patients with a high risk for CVD.

ModelBSE for Bp value95.0% CI for B
(Constant)63.79510.697<0.001(42.776, 84.815)
Age-0.6450.2870.025(-1.209, -0.081)
Sex (male)-1.6941.0850.119(-3.827, 0.438)
Education11.4011.1400.205(-0.769, 3.570)
Marital status (married)0.4991.2240.683(-1.905, 2.904)
Income20.3681.8950.846(-3.356, 4.092)
Healthy diet3-0.8131.7980.651(-4.347, 2.720)
Physical activity43.2920.9860.001(1.354, 5.229)
N0 of chronic diseases0.2840.2210.825(-2.243, 2.811)
N0 non-regulated risk factors (diseases)5-0.3350.4990.502(-1.316, 0.645)
Freq visits6-4.2450.795<0.001(-5.807, -2.682)
Regular medication0.8560.5770.138(-0.277, 1.989)
Europep (organization)0.9401.2070.436(-1.432, 3.313)
Europep (clinical care)0.9361.1400.412(-1.303, 3.176)

R2 adj=0.107, F=5.49, p=<0.001

Dependent Variable: Summary index of HRQoL questionnaire

Legend

1 secondary school or more vs. primary school

2 any form of regular income (salary, pension)

3 healthy diet according to the REAP-S questionnaire

4 the adequate physical activity according to RAPA questionnaire

5 blood pressure, value of cholesterol, smoking, BMI, physical activity

6 the frequency of visits in the practice per year

DOI: https://doi.org/10.2478/sjph-2018-0006 | Journal eISSN: 1854-2476 | Journal ISSN: 0351-0026
Language: English, Slovenian
Page range: 39 - 46
Submitted on: Jun 20, 2017
Accepted on: Dec 1, 2017
Published on: Jan 5, 2018
Published by: National Institute of Public Health, Slovenia
In partnership with: Paradigm Publishing Services

© 2018 Davorina Petek, Marija Petek-Ster, Ksenija Tusek-Bunc, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.