open access
Sociodemographic and clinical determinants of the functioning of patients with coronary artery disease
, 2, 1, 1, 2, 1
Affiliations- Department of Health Promotion, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
- Department of Cardiology and Internal Diseases, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
open access
Abstract
Introduction: Chronic diseases affect many aspects of patients’ lives in various ways, including physical activity, emotional and spiritual sphere as well as social functioning.
Aim: The study aimed to identify factors that determine the functioning of people with CAD, based on the original self-reported questionnaire. Methods: A single-centre, prospective, observational cohort study was carried out in 202 consecutive patients hospitalized due to CAD. The study assessed their functioning in chronic disease using the comprehensive tool: The Functioning in Chronic Illness Scale.
Results: Most of the respondents (44.55%) showed a medium level of functioning in CAD [79 < result < 94 points]. Economic status (average) was an independent factor contributing to better functioning in the disease. Treatment time (1–5 years), marital status (widow/widower) and prior PTCA treatment were independent risk factors for worse FCIS scores. The independent factors determining the negative impact of the disease on the patient were: previous invasive treatment (PTCA and/or CABG) and age ( > 65 years), while the independent determinants of the belief that the course of the disease can be modified were: sex (male) and duration of the disease ( < 1 year).
Conclusions: The study identifies independent factors affecting the functioning of patients with CAD. FCIS questionnaire comprehensively measures patients’ beliefs about the disease. Effective assessment of the quality of the patient’s functioning in the disease may be useful in more individualized therapeutic management.
Abstract
Introduction: Chronic diseases affect many aspects of patients’ lives in various ways, including physical activity, emotional and spiritual sphere as well as social functioning.
Aim: The study aimed to identify factors that determine the functioning of people with CAD, based on the original self-reported questionnaire. Methods: A single-centre, prospective, observational cohort study was carried out in 202 consecutive patients hospitalized due to CAD. The study assessed their functioning in chronic disease using the comprehensive tool: The Functioning in Chronic Illness Scale.
Results: Most of the respondents (44.55%) showed a medium level of functioning in CAD [79 < result < 94 points]. Economic status (average) was an independent factor contributing to better functioning in the disease. Treatment time (1–5 years), marital status (widow/widower) and prior PTCA treatment were independent risk factors for worse FCIS scores. The independent factors determining the negative impact of the disease on the patient were: previous invasive treatment (PTCA and/or CABG) and age ( > 65 years), while the independent determinants of the belief that the course of the disease can be modified were: sex (male) and duration of the disease ( < 1 year).
Conclusions: The study identifies independent factors affecting the functioning of patients with CAD. FCIS questionnaire comprehensively measures patients’ beliefs about the disease. Effective assessment of the quality of the patient’s functioning in the disease may be useful in more individualized therapeutic management.
Keywords
coronary artery disease, functioning in the disease, chronic diseases
About this articleTitle
Sociodemographic and clinical determinants of the functioning of patients with coronary artery disease
Journal
Issue
Article type
Original article
Pages
21-27
Published online
2021-02-19
Page views
491
Article views/downloads
504
DOI
Bibliographic record
Medical Research Journal 2021;6(1):21-27.
Keywords
coronary artery disease
functioning in the disease
chronic diseases
Authors
Piotr Michalski
Michał Kasprzak
Agata Kosobucka
Łukasz Pietrzykowski
Małgorzata Jasiewicz
Aldona Kubica
References (26)- Hawkes AL, Patrao TA, Ware R, et al. Predictors of physical and mental health-related quality of life outcomes among myocardial infarction patients. BMC Cardiovasc Disord. 2013; 13: 69.
- Assari S, Lankarani MM, et al. Comorbidity influences multiple aspects of well-being of patients with ischemic heart disease. Int. Cardiovasc. Res. J. 2013; 7(118): 123.
- Lalonde L, Clarke A, Joseph L, et al. Health-related quality of life with coronary heart disease prevention and treatment. Journal of Clinical Epidemiology. 2001; 54(10): 1011–1018.
- Olano-Lizarraga M, Oroviogoicoechea C, Errasti-Ibarrondo B, et al. The personal experience of living with chronic heart failure: a qualitative meta-synthesis of the literature. J Clin Nurs. 2016; 25(17-18): 2413–2429.
- Buszko K, Pietrzykowski Ł, Michalski P, et al. Validation of the Functioning in Chronic Illness Scale (FCIS). Medical Research Journal. 2018; 3(2): 63–69.
- Kubica A. Self-reported questionnaires for a comprehensive assessment of patients after acute coronary syndrome. Medical Research Journal. 2019; 4(2): 106–109.
- Leksowska A, Jaworska I, et al. Somatic disease as an adaptation challenge for humans. Folia Cardiologica Excerpta. 2011; 6(4): 244–248.
- Furmańska J, Pietrzak-Nowacka M, et al. Psychosocial determi-nants of the appraisal of disease significance by patients with a chronic disease. Człowiek i Społeczeństwo. 2018; XLV(245): 261.
- Dueñas M, Ramirez C, Arana R, et al. Gender differences and determinants of health related quality of life in coronary patients: a follow-up study. BMC Cardiovasc Disord. 2011; 11: 24.
- Dąbrowski R, Smolis-Bąk E, Kowalik I, et al. Quality of life and depression in patients with different patterns of atrial fibrillation. Kardiol Pol. 2010; 68(10): 1133–1139.
- Wojarska I. Emotional problems arising from chronic disease in patients staying in the cardiology department. Journal of Education, Health and Sport. 2017; 7(7): 226–23.
- Jankowska-Polańska B, Kaczan A, Lomper K, et al. Symptoms, acceptance of illness and health-related quality of life in patients with atrial fibrillation. Eur J Cardiovasc Nurs. 2018; 17(3): 262–272.
- Veenstra M, Petterson KI, Rollag A, et al. Association of changes in health - related quality of life in coronary heard disease with coronary procedures and sociodemographic charakcteristics. Health Qual Life Outcomes 2004; 2. ; 56.
- Pragodpol P, Ryan C. Critical review of factors predicting health-related quality of life in newly diagnosed coronary artery disease patients. J Cardiovasc Nurs. 2013; 28(3): 277–284.
- Uchmanowicz I, Loboz-Grudzien K, Jankowska-Polanska B, et al. Influence of diabetes on health-related quality of life results in patients with acute coronary syndrome treated with coronary angioplasty. Acta Diabetol. 2013; 50(2): 217–225.
- Pałczak E, Uchmanowicz I, et al. Analysis of factors affecting quality of life following myocardial infarction . Piel. Zdr. Publ. . 2012; 2(1): 29–37.
- Jankowska-Polańska B, Kaczan A, Lomper K, et al. Symptoms, acceptance of illness and health-related quality of life in patients with atrial fibrillation. Eur J Cardiovasc Nurs. 2018; 17(3): 262–272.
- Ślusarska B, Nowicki G. Health behaviours in prophylaxis of cardiovascular diseases among occupationally active population. Probl Hig Epidemiol. 2010; 91(1): 34–40.
- Kosobucka A, Michalski P, Pietrzykowski Ł, et al. Adherence to treatment assessed with the Adherence in Chronic Diseases Scale in patients after myocardial infarction. Patient Prefer Adherence. 2018; 12: 333–340.
- Stringhini S, Carmeli C, Jokela M, et al. LIFEPATH consortium. Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women. Lancet. 2017; 389(10075): 1229–1237.
- Michalski P, Kosobucka A, Pietrzykowski Ł, et al. Effectiveness of therapeutic education in patients with myocardial infarction. Medical Research Journal. 2018; 2(3): 89–96.
- Michalski P, Kasprzak M, Siedlaczek M, et al. The impact of knowledge and effectiveness of educational intervention on readiness for hospital discharge and adherence to therapeutic recommendations in patients with acute coronary syndrome. Medical Research Journal. 2020.
- Kosobucka A, Michalski P, Pietrzykowski Ł, et al. The impact of readiness to discharge from hospital on adherence to treatment in patients after myocardial infarction. Cardiol J. 2020 [Epub ahead of print].
- Kubica A, Obońska K, Kasprzak M, et al. Prediction of high risk of non-adherence to antiplatelet treatment. Kardiol Pol. 2016; 74(1): 61–67.
- Kubica A, Gruchała M, Jaguszewski M, et al. Adherence to treatment — a pivotal issue in long-term treatment of patients with cardiovascular diseases. An expert standpoint. Medical Research Journal. 2018; 2(4): 123–127.
- Kubica A, Bączkowska A. Rationale for motivational interventions as pivotal element of multilevel educational and motivational project MEDMOTION. Folia Cardiologica 2019; 15. ; 1: 6–10.