Next Article in Journal
Examining Differences in Health-Related Technology Use between Millennial and Older Generations of Caregivers
Previous Article in Journal
Exploring Intervention Frameworks to Improve Utilization of Elimination of Mother-to-Child Transmission Services in Africa: A Scoping Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Functioning in an Illness and Quality of Life versus the Prevalence of Depression and Anxiety Disorders in Patients with High Cardiovascular Risk

by
Piotr Michalski
1,†,
Agata Kosobucka-Ozdoba
1,†,
Łukasz Pietrzykowski
1,*,
Michał Kasprzak
2,
Klaudyna Grzelakowska
2,
Alicja Rzepka-Cholasińska
1 and
Aldona Kubica
1
1
Department of Cardiac Rehabilitation and Health Promotion, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Marii Sklodowskiej-Curie St. 9, 85-094 Bydgoszcz, Poland
2
Department of Cardiology and Internal Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Marii Sklodowskiej-Curie St. 9, 85-094 Bydgoszcz, Poland
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nurs. Rep. 2024, 14(3), 2596-2604; https://doi.org/10.3390/nursrep14030191 (registering DOI)
Submission received: 5 July 2024 / Revised: 13 September 2024 / Accepted: 18 September 2024 / Published: 23 September 2024

Abstract

:
Background: A chronic disease occurring in a person’s life is a stressor, disrupting every aspect of their life. Objectives: This study aims to assess the relationship between functioning in chronic illness and quality of life with the prevalence of symptoms of depression and anxiety in patients with high cardiovascular risk. Material and methods: This study included 200 patients (aged 18–80 years) under the care of a primary care physician, diagnosed with hypertension and/or hypercholesterolemia, and/or diabetes between 6 and 24 months before the enrollment. The presented analysis assessed the symptoms of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS); and the quality of life of patients with cardiovascular disease using the Heart Quality of Life (HeartQoL) questionnaire and functioning in chronic illness using the Functioning in Chronic Illness Scale (FCIS). Results: The HADS scores amounted to 4.34 ± 3.414 points for the HADS-Anxiety subscale and 3.20 ± 2.979 points for the HADS-Depression subscale. The score indicative of functioning in chronic illness assessed with the FCIS was 98.32 ± 13.89 points. The independent predictors of HADS-anxiety were HeartQoL Emotional and FCIS Global, while HeartQoL Global and FCIS Global were the independent predictors for HADS-depression. Better functioning in chronic illness (FCIS Global) was associated with less frequent symptoms of anxiety and depression based on the HADS: HADS-Anxiety (R Spearmann = −0.3969; p < 0.0001) and HADS-Depression (R Spearmann = −0.5884; p < 0.0001). Higher HeartQoL scores, both globally, as well as in emotional and physical dimensions, were associated with a lower severity of anxiety and depression assessed with the HADS: HADS-Anxiety (R Spearmann = −0.2909; p = 0.0001) and HADS-Depression (R Spearmann = −0.2583; p = 0.0002). Conclusions: The quality of life and functioning in chronic illness are connected with symptoms of depression and anxiety. When assessing the severity of the depression symptoms in relation to the individual aspects of functioning in chronic illness, the areas requiring supportive-educational intervention can be identified. The assessment of both functioning in a chronic disease and the severity of the depression symptoms should be included in a standard nursing diagnosis and further supportive and educational intervention.

1. Introduction

A chronic disease occurring in a person’s life is a stressor, disrupting every aspect of their life [1,2,3,4]. The co-occurrence of anxiety disorders and/or depression with chronic diseases is associated with poor functioning and a lower quality of life [5,6,7,8,9,10,11]. Depression is an independent risk factor for the development of cardiovascular diseases; furthermore, it worsens the prognosis in people already diagnosed with cardiovascular disorders [7,8,10,12,13].
Therefore, the need to assess daily functioning as well as the support from therapeutic teams in patients with chronic diseases has been suggested [14,15]. The complex relationships between anxiety and depression symptoms in relation to various aspects of patient functioning and quality of life undoubtedly merit multifaceted research. In our opinion, such justification exists especially in relation to patients at high cardiovascular risk, in whom atherosclerotic cardiovascular disease has not yet led to devastating consequences. However, to date, no studies have been conducted comprehensively analyzing the relationship between patient functioning and the occurrence of anxiety disorders and depression. The use of the validated FCIS questionnaire allows for a broad assessment of the patient’s functioning without the need to apply multiple tools. It allows for a quick diagnosis of the deficit areas and enables the planning of appropriate interventions [16].
This study aims to assess the relationship between functioning in chronic illness and quality of life with the prevalence of symptoms of depression and anxiety in patients without diagnosed atherosclerotic cardiovascular disease but with high cardiovascular risk.

2. Materials and Methods

This observational cross-sectional study was conducted in 200 patients (aged 18–80 years), under the care of a general practitioner, who within 6–24 months prior to enrollment were diagnosed with hypertension. (ICD10: I10) and/or hypercholesterolemia (ICD-10: E78) and/or diabetes (E11) according to the current guidelines [17,18,19].
To the best of our knowledge, our study is the first to comprehensively assess the association between functioning in chronic disease and quality of life versus the prevalence of depression and anxiety symptoms in the cohort of high cardiovascular risk patients without diagnosed atherosclerotic cardiovascular disease. Due to the study design and the lack of evidence from previous studies to calculate sample power, the size of the study population was arbitrarily defined by the researchers. The consecutive patients were screened for study eligibility by 3 general practitioners cooperating with the investigators. In the next step, the initially selected candidates were re-evaluated by the investigators against the inclusion and exclusion criteria. The inclusion criteria were prior diagnosis of hypertension and/or hypercholesterolemia and/or diabetes. The exclusion criteria were prior diagnosed atherosclerotic cardiovascular disease, any requiring treatment disease, other than the cardiovascular risk factors defined as inclusion criteria, the inability to fill out the questionnaires independently, and the lack of informed consent to participate in this study. Each of the study participants gave their informed consent in this study in accordance with the principles of Good Clinical Practise and the requirements of the Declaration of Helsinki. This study was approved by the Ethics Committee of Nicolaus Copernicus University in Toruń, Collegium Medicum in Bydgoszcz (study approval reference number KB 586/2017).
The study design was as follows:
  • Analysis of patients’ medical records—screening analysis conducted by primary care physicians to find eligible candidates for this study;
  • Interview with the patient conducted by the researcher (a qualified nurse or physician) to assess patients against the inclusion and exclusion criteria;
  • Providing the patient with information about this study and obtaining informed consent from the patient;
  • Conducting questionnaire surveys by the researcher, including the following:
    • Symptoms of anxiety and depression assessment with the Hospital Anxiety and Depression Scale (HADS);
    • Evaluation of quality of life with the Heart Quality of Life (HeartQoL) questionnaire;
    • Functioning in chronic illness assessment with the Functioning in Chronic Illness Scale (FCIS);
    • Patient survey.
The HADS (Hospital Anxiety and Depression Scale) is a tool that assesses the occurrence of symptoms of depression and anxiety. It consists of two subscales: HADS-Depression and HADS-Anxiety. The results obtained do not justify making a clinical diagnosis [20]. A score of 0–7 points corresponds to a normal level of anxiety/depression, 8–10 points to a borderline level, and 11–21 points to a high level, specific to the disease [21,22,23]. The HADS has been validated in Poland [24].
The HeartQoL (Heart Quality of Life) questionnaire is a standardized tool for assessing the quality of life of patients with cardiovascular diseases. It assesses the quality of life both globally (HeartQoL Global) and in two dimensions: emotional (HeartQoL Emotional) and physical (HeartQoL Physical). The questions are graded on a scale of 0 to 3 points. Higher results are associated with a better quality of life [25,26]. The HeartQoL questionnaire has been accepted for use in the EUROASPIRE V trial including a Polish arm [27].
The FCIS (Functioning in Chronic Illness Scale) is a validated tool that comprehensively assesses the functioning of patients with a division into 3 subscales: the impact of the disease on patient functioning (FCIS 1), the impact of the patient on the disease (FCIS 2), and the patient’s attitude towards the disease (FCIS 3). The higher the score in a given part of the questionnaire, the better the functioning of the patient in the studied area. Overall, a score below 78 is considered low, between 79 and 93 is medium, and above 94 is high [16]. The FCIS has been validated in Poland [16].
This study was limited to the analysis of the relationships between the studied variables and did not include an assessment of the therapeutic interventions outcome.
The statistical analysis was carried out using the Statistica 13.0 package (TIBCO Software Inc., Palo Alto, CA, USA). Continuous variables were presented as means with standard deviations. Categorical variables were expressed as the number and the percentage. The Shapiro–Wilk test demonstrated a non-normal distribution of the investigated continuous variables. Therefore, non-parametric tests were used for the statistical analysis. Comparisons between the groups were performed with the Kruskal–Wallis one-way analysis of variance. To assess the relationship between two continuous variables, Spearman’s rank correlation was used. The results were considered significant at p < 0.05. For the multivariate analysis, a multiple regression analysis was performed. The best models were identified using backward stepwise regression. The variables with no significant impact (p > 0.05) were removed one by one from the multivariate model according to the decreasing p value.

3. Results

The HADS scores amounted to 4.34 ± 3.414 points for the HADS-Anxiety subscale and 3.20 ± 2.979 points for the HADS-Depression subscale. A high score was achieved by 3.0% and 6.5% of subjects, respectively, a borderline score in 13.0% and 6.5%, while the rest were within the normal range. The score indicative of functioning in chronic illness assessed with the FCIS was 98.32 ± 13.89 points. A low level of functioning was determined in 10% of the studied population, average in 25%, and high in as much as 65%.
The detailed characteristics of the study group are given in Table 1.
A multifactorial analysis (age, gender, hypertension, hypercholesterolemia, diabetes, FCIS global, and HeartQoL) showed that the independent predictors of a HADS-Anxiety score are HeartQoL Emotional and FCIS Global. These two factors explain 24.5% of the variability of a HADS-Anxiety score. In relation to HADS-Depression, the independent predictors are FCIS Global and HeartQoL Global. They explain 38.2% of the variability of a HADS-Depression score.
Better functioning in chronic illness (FCIS Global) was associated with less frequent symptoms of anxiety and depression based on the HADS: HADS-Anxiety (R Spearmann = −0.3969; p < 0.0001) and HADS-Depression (R Spearmann = −0.5884; p < 0.0001).
However, this relationship was expressed by the results obtained in two subscales of FCIS: assessing the impact of the disease on the patient (FCIS 1) and the patient’s attitude towards the disease (FCIS 3); but not in the FCIS 2 subscale, which determines the patient’s beliefs about their own impact on the course of the disease (Table 2).
Higher HeartQoL scores, both globally, as well as in emotional and physical dimensions, were associated with a lower severity of anxiety and depression assessed with the HADS: HADS-Anxiety (R Spearmann = −0.2909; p = 0.0001) and HADS-Depression (R Spearmann = −0.2583; p = 0.0002). These relationships were determined by the results of the HeartQoL Physical for HADS-Anxiety and both the HeartQoL Emotional and Physical for HADS-Depression (Table 3).

4. Discussion

In numerous observations, researchers point out that the feeling of anxiety and the occurrence of depression significantly affect both the prognosis and the functioning and quality of life of the patient [5,6,7,8,9,10,11].
To the best of our knowledge, our results are the first to show a correlation between the severity of depression and anxiety symptoms and the functioning in chronic illness.
In our study, the proportion of patients with symptoms of anxiety and depression was relatively low. A high severity of symptoms of depression was found in 3.0% of the subjects and of anxiety in 6.5% of the subjects, while borderline results reached 13.0% and 6.5%, respectively. The relatively low prevalence of depression and anxiety compared to other studies probably results from the exclusion of patients with diagnosed atherosclerotic cardiovascular disease.
A significantly higher proportion of patients with worsening symptoms of depression and anxiety can be found among patients with ischemic heart disease. After the onset of ischemic heart disease, depressive symptoms are diagnosed in 20–50% of patients, and severe depression develops in 15–20% of the cases [28,29].
It should be noted that the onset of depressive and anxiety symptoms after an acute cardiac event is an adaptive disorder that can be improved with comprehensive treatment [30]. It is equally important to implement preventive measures in people characterized by a high cardiovascular risk [31].
Many authors point to the need for a comprehensive assessment of the patient’s health and their adaptation to the new living conditions created by the onset of chronic illness [15,32,33,34,35,36,37]. The use of the FCIS (The Functioning in Chronic Illness Scale) allows for a multifaceted assessment of the patient’s functioning, which should be taken into account when planning therapeutic management [15,16,28,29,30,31,32,33,34,35,36,38,39,40,41].
We showed that lower levels of depression and anxiety were associated with better functioning in the disease. This relationship was determined by the results of the FCIS 1 and FCIS 3 subscales (i.e., the assessment of the impact of the disease on the patient’s life and the assessment of the patient’s attitudes towards the new life situation). Interestingly, we did not find that the patients’ beliefs about the possibility of influencing the course of the disease were associated with an increase in symptoms of depression and anxiety disorders. Studies suggest that the patient’s sense of agency has a positive effect on their process of coping with the disease, and thus on a better functioning and quality of life [42,43,44].
High-risk patients may be inadequately educated about the ability to influence their cardiovascular risk factors. This hypothesis can be confirmed by the results obtained by other authors [45,46].
In assessing the knowledge of risk factors for coronary disease, Buraczyński and Gotlib [45] indicate that patients do not identify hypertension, hypercholesterolemia, and diabetes as modifiable determinants of cardiovascular disease. Similar results were obtained by Dziedzic et al. [46].
The assessment of the quality of life of patients with chronic diseases is considered a necessary element in a comprehensive assessment of functioning in chronic illness. It is an additional source of information about the physical, mental, and social well-being of the patient [45,46,47,48]. Higher quality of life is associated with more effective control of risk factors, better functioning, and improved prognosis [32,39,40,47,48,49].
In our study, we found that increased depression and anxiety symptoms were associated with a lower quality of life, both emotionally and physically; furthermore, they contributed to obtaining lower scores in terms of functioning in chronic illness.
In summary, depressive and anxiety disorders are reflected in both the quality of life of the patients and their functioning in chronic disease [9,10,11,32,33,34,36,39,40,42,43,44,47,48]. The use of the FCIS questionnaire combined with the assessment of the anxiety and depression symptoms (HADS) allowed for the identification of new areas requiring nursing interventions. The efforts to improve the perception of the disease’s impact on the patient and to strengthen an optimistic outlook on the course of the disease may prove to be crucial in planning and conducting patient education.
Early diagnosis of the areas of functioning associated with the occurrence of anxiety and depressive symptoms may be the key to improving the adherence to the therapeutic recommendations [50,51,52,53,54,55].
The limitations of this study were the heterogeneity of the study population in terms of the time of diagnosis of the risk factors and the lack of precise data on the risk factors.

5. Conclusions

The quality of life and functioning in chronic illness are associated with symptoms of depression and anxiety.
The assessment of functioning in chronic illness allows for the diagnosis of areas requiring nursing interventions. Therapeutic education aimed at improving the patient’s perception of the disease’s impact on their health and enhancing optimism regarding the ability to influence the course of the disease can be crucial for reducing symptoms of anxiety and depression and improving patients’ quality of life.

Author Contributions

Conceptualization, P.M., A.K.-O. and A.K.; methodology, P.M., Ł.P., A.K.-O. and A.K.; formal analysis, M.K., P.M., Ł.P. and A.K.-O.; investigation, P.M., Ł.P., A.K.-O., K.G., A.R.-C. and A.K.; resources, Ł.P., M.K. and A.K.; data curation, P.M., Ł.P., A.K.-O., A.R.-C. and M.K.; writing—original draft preparation, P.M., Ł.P. and A.K.-O.; writing—review and editing, M.K., K.G. and A.K.; visualization, M.K. and Ł.P.; supervision, A.K.; project administration, A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of the Nicolaus Copernicus University in Toruń Collegium Medicum in Bydgoszcz, Poland (number: KB 586/2017, date: 19 September 2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available from all authors.

Public Involvement Statement

No public involvement in any aspect of this research.

Guidelines and Standards Statement

This manuscript was drafted against The Strengthening 324 the Reporting of Observational Studies in Epidemiology (STROBE) Statement.

Use of Artificial Intelligence

AI or AI-assisted tools were not used in drafting any aspect of this manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Olano-Lizarraga, M.; Oroviogoicoechea, C.; Errasti-Ibarrondo, B.; Saracíbar-Razquin, M. The Personal Experience of Living with Chronic Heart Failure: A Qualitative Meta-Synthesis of the Literature. J. Clin. Nurs. 2016, 25, 2413–2429. [Google Scholar] [CrossRef] [PubMed]
  2. Hobbs, F. Impact of Heart Failure and Left Ventricular Systolic Dysfunction on Quality of Life. A Cross-Sectional Study Comparing Common Chronic Cardiac and Medical Disorders and a Representative Adult Population. Eur. Heart J. 2002, 23, 1867–1876. [Google Scholar] [CrossRef] [PubMed]
  3. Rogan, A.; McCarthy, K.; McGregor, G.; Hamborg, T.; Evans, G.; Hewins, S.; Aldridge, N.; Fletcher, S.; Krishnan, N.; Higgins, R.; et al. Quality of Life Measures Predict Cardiovascular Health and Physical Performance in Chronic Renal Failure Patients. PLoS ONE 2017, 12, e0183926. [Google Scholar] [CrossRef]
  4. Leksowska, A.; Jaworska, I.; Gorczyca, P. Somatic Disease as an Adaptive Challenge for Humans [Choroba Somatyczna Jako Wyzwanie Adaptacyjne Dla Człowieka]. Folia Cardiol. 2011, 6, 244–248. [Google Scholar]
  5. Hasin, D.S.; Sarvet, A.L.; Meyers, J.L.; Saha, T.D.; Ruan, W.J.; Stohl, M.; Grant, B.F. Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States. JAMA Psychiatry 2018, 75, 336. [Google Scholar] [CrossRef]
  6. Vos, T.; Abajobir, A.A.; Abate, K.H.; Abbafati, C.; Abbas, K.M.; Abd-Allah, F.; Abdulkader, R.S.; Abdulle, A.M.; Abebo, T.A.; Abera, S.F.; et al. Global, Regional, and National Incidence, Prevalence, and Years Lived with Disability for 328 Diseases and Injuries for 195 Countries, 1990–2016: A Systematic Analysis for the Global Burden of Disease Study 2016. Lancet 2017, 390, 1211–1259. [Google Scholar] [CrossRef] [PubMed]
  7. Correll, C.U.; Solmi, M.; Veronese, N.; Bortolato, B.; Rosson, S.; Santonastaso, P.; Thapa-Chhetri, N.; Fornaro, M.; Gallicchio, D.; Collantoni, E.; et al. Prevalence, Incidence and Mortality from Cardiovascular Disease in Patients with Pooled and Specific Severe Mental Illness: A Large-scale Meta-analysis of 3,211,768 Patients and 113,383,368 Controls. World Psychiatry 2017, 16, 163–180. [Google Scholar] [CrossRef]
  8. Kim, J.-M.; Stewart, R.; Lee, Y.-S.; Lee, H.-J.; Kim, M.C.; Kim, J.-W.; Kang, H.-J.; Bae, K.-Y.; Kim, S.-W.; Shin, I.-S.; et al. Effect of Escitalopram vs Placebo Treatment for Depression on Long-Term Cardiac Outcomes in Patients With Acute Coronary Syndrome: A Randomized Clinical Trial. JAMA 2018, 320, 350–358. [Google Scholar] [CrossRef] [PubMed]
  9. Kessler, R.C.; DuPont, R.L.; Berglund, P.; Wittchen, H.U. Impairment in Pure and Comorbid Generalized Anxiety Disorder and Major Depression at 12 Months in Two National Surveys. Am. J. Psychiatry 1999, 156, 1915–1923. [Google Scholar] [CrossRef]
  10. Kessler, R.C.; Chiu, W.T.; Demler, O.; Walters, E.E. Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 2005, 62, 617. [Google Scholar] [CrossRef]
  11. Suls, J.; Bunde, J. Anger, Anxiety, and Depression as Risk Factors for Cardiovascular Disease: The Problems and Implications of Overlapping Affective Dispositions. Psychol. Bull. 2005, 131, 260–300. [Google Scholar] [CrossRef] [PubMed]
  12. Sevincok, L.; Buyukozturk, A.; Dereboy, F. Serum Lipid Concentrations in Patients with Comorbid Generalized Anxiety Disorder and Major Depressive Disorder. Can. J. Psychiatry 2001, 46, 68–71. [Google Scholar] [CrossRef] [PubMed]
  13. Bai, B.; Yin, H.; Guo, L.; Ma, H.; Wang, H.; Liu, F.; Liang, Y.; Liu, A.; Geng, Q. Comorbidity of Depression and Anxiety Leads to a Poor Prognosis Following Angina Pectoris Patients: A Prospective Study. BMC Psychiatry 2021, 21, 202. [Google Scholar] [CrossRef]
  14. Carson, P.; Tam, S.W.; Ghali, J.K.; Archambault, W.T.; Taylor, A.; Cohn, J.N.; Braman, V.M.; Worcel, M.; Anand, I.S. Relationship of Quality of Life Scores with Baseline Characteristics and Outcomes in the African-American Heart Failure Trial. J. Card. Fail 2009, 15, 835–842. [Google Scholar] [CrossRef]
  15. Juenger, J. Health Related Quality of Life in Patients with Congestive Heart Failure: Comparison with Other Chronic Diseases and Relation to Functional Variables. Heart 2002, 87, 235–241. [Google Scholar] [CrossRef] [PubMed]
  16. Buszko, K.; Pietrzykowski, Ł.; Michalski, P.; Kosobucka, A.; Stolarek, W.; Fabiszak, T.; Kubica, A. Validation of the Functioning in Chronic Illness Scale (FCIS). Med. Res. J. 2018, 3, 63–69. [Google Scholar] [CrossRef]
  17. Catapano, A.L.; Graham, I.; De Backer, G.; Wiklund, O.; Chapman, M.J.; Drexel, H.; Hoes, A.W.; Jennings, C.S.; Landmesser, U.; Pedersen, T.R.; et al. 2016 ESC/EAS Guidelines for the Management of Dyslipidaemias. Eur. Heart J. 2016, 37, 2999–3058. [Google Scholar] [CrossRef]
  18. Piepoli, M.F.; Hoes, A.W.; Agewall, S.; Albus, C.; Brotons, C.; Catapano, A.L.; Cooney, M.-T.; Corrà, U.; Cosyns, B.; Deaton, C.; et al. 2016 European Guidelines on Cardiovascular Disease Prevention in Clinical Practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by Representatives of 10 Societies and by Invited Experts)Developed with the Special Contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur. Heart J. 2016, 37, 2315–2381. [Google Scholar] [CrossRef]
  19. Perk, J.; De Backer, G.; Gohlke, H.; Graham, I.; Reiner, Z.; Verschuren, M.; Albus, C.; Benlian, P.; Boysen, G.; Cifkova, R.; et al. European Guidelines on Cardiovascular Disease Prevention in Clinical Practice (Version 2012): The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by Representatives of Nine Societies and by Invited Experts) * Developed with the Special Contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur. Heart J. 2012, 33, 1635–1701. [Google Scholar] [CrossRef]
  20. Zigmond, A.S.; Snaith, R.P. The Hospital Anxiety and Depression Scale. Acta. Psychiatr Scand. 1983, 67, 361–370. [Google Scholar] [CrossRef]
  21. Montazeri, A.; Vahdaninia, M.; Ebrahimi, M.; Jarvandi, S. The Hospital Anxiety and Depression Scale (HADS): Translation and Validation Study of the Iranian Version. Health Qual. Life Outcomes 2003, 1, 14. [Google Scholar] [CrossRef] [PubMed]
  22. Snaith, R.P. The Hospital Anxiety And Depression Scale. Health Qual. Life Outcomes 2003, 1, 29. [Google Scholar] [CrossRef] [PubMed]
  23. Bjelland, I.; Dahl, A.A.; Haug, T.T.; Neckelmann, D. The Validity of the Hospital Anxiety and Depression Scale. An Updated Literature Review. J. Psychosom Res. 2002, 52, 69–77. [Google Scholar] [CrossRef] [PubMed]
  24. Wiglusz, M.S.; Landowski, J.; Michalak, L.; Cubała, W.J. Validation of the Hospital Anxiety and Depression Scale in Patients with Epilepsy. Epilepsy Behav. 2016, 58, 97–101. [Google Scholar] [CrossRef] [PubMed]
  25. De Smedt, D.; Clays, E.; Doyle, F.; Kotseva, K.; Prugger, C.; Pająk, A.; Jennings, C.; Wood, D.; De Bacquer, D. Validity and Reliability of Three Commonly Used Quality of Life Measures in a Large European Population of Coronary Heart Disease Patients. Int. J. Cardiol. 2013, 167, 2294–2299. [Google Scholar] [CrossRef]
  26. Oldridge, N.; Höfer, S.; McGee, H.; Conroy, R.; Doyle, F.; Saner, H.; (for the HeartQoL Project Investigators). The HeartQoL: Part I. Development of a New Core Health-Related Quality of Life Questionnaire for Patients with Ischemic Heart Disease. Eur. J. Prev. Cardiol. 2014, 21, 90–97. [Google Scholar] [CrossRef]
  27. Kotseva, K.; De Backer, G.; De Bacquer, D.; Rydén, L.; Hoes, A.; Grobbee, D.; Maggioni, A.; Marques-Vidal, P.; Jennings, C.; Abreu, A.; et al. Lifestyle and Impact on Cardiovascular Risk Factor Control in Coronary Patients across 27 Countries: Results from the European Society of Cardiology ESC-EORP EUROASPIRE V Registry. Eur. J. Prev. Cardiol. 2019, 26, 824–835. [Google Scholar] [CrossRef]
  28. Vongmany, J.; Hickman, L.D.; Lewis, J.; Newton, P.J.; Phillips, J.L. Anxiety in Chronic Heart Failure and the Risk of Increased Hospitalisations and Mortality: A Systematic Review. Eur. J. Cardiovasc. Nurs. 2016, 15, 478–485. [Google Scholar] [CrossRef]
  29. Piwoński, J.; Piwońska, A.; Jędrusik, P.; Stokwiszewski, J.; Rutkowski, M.; Bandosz, P.; Drygas, W.; Zdrojewski, T. Depressive Symptoms and Cardiovascular Diseases in the Adult Polish Population. Results of the NATPOL2011 Study. Kardiol. Pol. 2019, 77, 18–23. [Google Scholar] [CrossRef]
  30. Hare, D.L.; Toukhsati, S.R.; Johansson, P.; Jaarsma, T. Depression and Cardiovascular Disease: A Clinical Review. Eur. Heart J. 2014, 35, 1365–1372. [Google Scholar] [CrossRef]
  31. Visseren, F.L.J.; Mach, F.; Smulders, Y.M.; Carballo, D.; Koskinas, K.C.; Bäck, M.; Benetos, A.; Biffi, A.; Boavida, J.-M.; Capodanno, D.; et al. 2021 ESC Guidelines on Cardiovascular Disease Prevention in Clinical Practice. Eur. Heart J. 2021, 42, 3227–3337. [Google Scholar] [CrossRef] [PubMed]
  32. Kubica, A.; Pietrzykowski, Ł.; Michalski, P.; Kasprzak, M.; Ratajczak, J.; Siódmiak, J.; Fabiszak, T.; Buczkowski, K.; Krintus, M.; Jankowski, P. The Occurrence of Cardiovascular Risk Factors and Functioning in Chronic Illness in the Polish Population of EUROASPIRE V. Cardiol. J. 2022, VM/OJS/J/91163. [Google Scholar] [CrossRef] [PubMed]
  33. Roe, C.; Sveen, U.; Bautz-Holter, E. Bautz-Holter Retaining the Patient Perspective in the International Classification of Functioning, Disability and Health Core Set for Low Back Pain. Patient Prefer. Adherence 2008, 337. [Google Scholar] [CrossRef] [PubMed]
  34. Garin, O.; Ayuso-Mateos, J.L.; Almansa, J.; Nieto, M.; Chatterji, S.; Vilagut, G.; Alonso, J.; Cieza, A.; Svetskova, O.; Burger, H.; et al. Validation of the “World Health Organization Disability Assessment Schedule, WHODAS-2” in Patients with Chronic Diseases. Health Qual. Life Outcomes 2010, 8, 51. [Google Scholar] [CrossRef] [PubMed]
  35. Bohn, K. Clinical Impairment Assessment Questionnaire (CIA). In Encyclopedia of Feeding and Eating Disorders; Wade, T., Ed.; Springer: Singapore, 2017; pp. 126–129. ISBN 978-981-287-103-9. [Google Scholar]
  36. Bohn, K.; Doll, H.A.; Cooper, Z.; O’Connor, M.; Palmer, R.L.; Fairburn, C.G. The Measurement of Impairment Due to Eating Disorder Psychopathology. Behav. Res. Ther. 2008, 46, 1105–1110. [Google Scholar] [CrossRef]
  37. Kubica, A. Self-Reported Questionnaires for a Comprehensive Assessment of Patients after Acute Coronary Syndrome. Med. Res. J. 2019, 4, 106–109. [Google Scholar] [CrossRef]
  38. Michalski, P. New Tools for Complex Assessment of Patients after Myocardial Infarction. Biomed. J. Sci. Tech. Res. 2019, 16. [Google Scholar] [CrossRef]
  39. Sin, N.L.; Kumar, A.D.; Gehi, A.K.; Whooley, M.A. Direction of Association Between Depressive Symptoms and Lifestyle Behaviors in Patients with Coronary Heart Disease: The Heart and Soul Study. Ann. Behav. Med. 2016, 50, 523–532. [Google Scholar] [CrossRef]
  40. Spinka, F.; Aichinger, J.; Wallner, E.; Brecht, S.; Rabold, T.; Metzler, B.; Zweiker, R.; Lang, I.; Delle Karth, G. Functional Status and Life Satisfaction of Patients with Stable Angina Pectoris in Austria. BMJ Open 2019, 9, e029661. [Google Scholar] [CrossRef]
  41. Michalski, P.; Kasprzak, M.; Kosobucka-Ozdoba, A.; Pietrzykowski, Ł.; Kieszkowska, M.; Bączkowska, A.; Kubica, A. The Impact of Knowledge on the Functioning of Patients with Coronary Artery Disease. Med. Res. J. 2022, 7, 223–227. [Google Scholar] [CrossRef]
  42. Kosowicz, M.; Kulpa, M.; Ziętalewicz, U.; Stypuła-Ciuba, B.J.; Grzejszczak, M.; Ziółkowska, P.; Kazalska, D. Health Locus of Control, Anxiety, and Depression in Patients with Soft Tissue and Bone Cancer [Umiejscowienie Kontroli Zdrowia a Lęk i Depresja u Pacjentów z Chorobą Nowotworową Tkanek Miękkich i Kości]. Med. Paliatywna/Palliat. Med. 2014, 6, 165–169. [Google Scholar]
  43. Zhu, B.; Zhao, Z.; McCollam, P.; Anderson, J.; Bae, J.P.; Fu, H.; Zettler, M.; LeNarz, L. Factors Associated with Clopidogrel Use, Adherence, and Persistence in Patients with Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention. Curr. Med. Res. Opin. 2011, 27, 633–641. [Google Scholar] [CrossRef]
  44. Luque, B.; Farhane-Medina, N.Z.; Villalba, M.; Castillo-Mayén, R.; Cuadrado, E.; Tabernero, C. Positivity and Health Locus of Control: Key Variables to Intervene on Well-Being of Cardiovascular Disease Patients. J. Pers. Med. 2023, 13, 873. [Google Scholar] [CrossRef]
  45. Buraczyński, T.; Gotlib, J. Assessment of Knowledge of Patients with Known Coronary Heart Disease on Elimination of Risk Factors for This Disease as an Element of a Health-Promoting Life Style. Med. Og. Nauk. Zdr. 2014, 20, 199–207. [Google Scholar] [CrossRef]
  46. Dziedzic, B.; Sienkiewicz, Z.; Zając, P.; Wiśniewski, A. Knowledge of Patients on Risk Factors of Coronary Heart Disease Treated in Specialized Cardiology Clinic. Pielęgniarstwo Zdr. Publiczne Nurs. Public Health 2015, 5, 11–19. [Google Scholar]
  47. Reriani, M.; Flammer, A.J.; Duhé, J.; Li, J.; Gulati, R.; Rihal, C.S.; Lennon, R.; Tilford, J.M.; Prasad, A.; Lerman, L.O.; et al. Coronary Endothelial Function Testing May Improve Long-Term Quality of Life in Subjects with Microvascular Coronary Endothelial Dysfunction. Open Heart 2019, 6, e000870. [Google Scholar] [CrossRef] [PubMed]
  48. Oreopoulos, A.; Padwal, R.; McAlister, F.A.; Ezekowitz, J.; Sharma, A.M.; Kalantar-Zadeh, K.; Fonarow, G.C.; Norris, C.M. Association between Obesity and Health-Related Quality of Life in Patients with Coronary Artery Disease. Int. J. Obes. 2010, 34, 1434–1441. [Google Scholar] [CrossRef]
  49. Kosobucka-Ozdoba, A.; Pietrzykowski, Ł.; Michalski, P.; Ratajczak, J.; Grzelakowska, K.; Kasprzak, M.; Kubica, J.; Kubica, A. Achieving Cardiovascular Risk Management Goals and Patient Quality of Life. J. Cardiovasc. Dev. Dis. 2024, 11, 45. [Google Scholar] [CrossRef] [PubMed]
  50. World Health Organization. Mortality and Global Burden of Disease. Available online: http://www.who.int/gho/mortality_burden_disease/en/ (accessed on 30 May 2024).
  51. Nichols, M.; Townsend, N.; Scarborough, P.; Rayner, M. Cardiovascular Disease in Europe 2014: Epidemiological Update. Eur. Heart J. 2014, 35, 2950–2959. [Google Scholar] [CrossRef]
  52. Jeffery, R.A.; Navarro, T.; Wilczynski, N.L.; Iserman, E.C.; Keepanasseril, A.; Sivaramalingam, B.; Agoritsas, T.; Haynes, R.B. Adherence Measurement and Patient Recruitment Methods Are Poor in Intervention Trials to Improve Patient Adherence. J. Clin. Epidemiol. 2014, 67, 1076–1082. [Google Scholar] [CrossRef]
  53. Haynes, R.B.; McDonald, H.P.; Garg, A.X. Helping Patients Follow Prescribed Treatment: Clinical Applications. JAMA 2002, 288, 2880–2883. [Google Scholar] [CrossRef] [PubMed]
  54. Sabaté, E.; World Health Organization (Eds.) Adherence to Long-Term Therapies: Evidence for Action; World Health Organization: Geneva, Switzerland, 2003; ISBN 978-92-4-154599-0. [Google Scholar]
  55. Pietrzykowski, Ł.; Kosobucka-Ozdoba, A.; Michalski, P.; Kasprzak, M.; Ratajczak, J.; Rzepka-Cholasińska, A.; Siódmiak, J.; Grzelakowska, K.; Kubica, A. The Impact of Anxiety and Depression Symptoms on Cardiovascular Risk Factor Control in Patients Without a History of Atherosclerotic Cardiovascular Disease. Vasc. Health Risk Manag. 2024, 20, 301–311. [Google Scholar] [CrossRef] [PubMed]
Table 1. Characteristics of the studied population.
Table 1. Characteristics of the studied population.
ParameterVariablen%
Age (mean ± SD)51.6 ± 13.6
GenderFemale13366.5
Male 6733.5
Diagnosed arterial hypertensionYes12763.5
No7336.5
Diagnosed hypercholesterolemiaYes9045.0
No 11055.0
Diagnosed diabetes Yes 4120.5
No 15979.5
Functioning in chronic illness: FCIS GlobalLow level2010.0
Medium level5125.0
High level 12965.0
Functioning in chronic illness: FCIS Global98.83 ± 13.89
Quality of life: HeartQoL Global2.65 ± 0.49
Quality of life: HeartQoL Emotional2.43 ± 0.66
Quality of life: HeartQoL Physical2.74 ± 0.50
HADS-AnxietyNormal16180.5
Borderline 2613.0
Abnormal 136.5
HADS-DepressionNormal18190.5
Borderline 136.5
Abnormal 63.0
HADS-Anxiety4.34 ± 3.41
HADS-Depression3.20 ± 2.97
Table 2. Functioning in Chronic Illness Scale (FCIS) scores depending on the severity of the anxiety and depression assessed with the Hospital Anxiety and Depression Scale (HADS).
Table 2. Functioning in Chronic Illness Scale (FCIS) scores depending on the severity of the anxiety and depression assessed with the Hospital Anxiety and Depression Scale (HADS).
HADSFCIS 1FCIS 2FCIS 3FCIS Global
ANXIETY NMean ± SDpMean ± SDpMean ± SDpMean ± SDp
Normal 16135.47 ± 5.22<0.000131.21 ± 5.390.033634.45 ± 4.870.0080101.12 ± 13.00<0.0001
Borderline 2631.35 ± 6.1728.50 ± 4.4931.19 ± 5.2591.04 ± 12.06
Abnormal1327.23 ± 8.7229.54 ± 5.2229.23 ± 7.0586.00 ± 16.21
DEPRESSIONNMean ± SDpMean ± SDpMean ± SDpMean ± SDp
Normal 18135.39 ± 5.04<0.000130.96 ± 5.360.071034.48 ± 4.63<0.0001100.82 ± 12.59<0.0001
Borderline 1327.69 ± 6.2827.38 ± 4.0727.31 ± 4.6482.38 ± 11.80
Abnormal619.00 ± 4.2731.67 ± 5.4323.67 ± 6.8974.33 ± 8.73
Table 3. The Heart Quality of Life (HeartQoL) questionnaire scores depending on the severity of the anxiety and depression assessed with the Hospital Anxiety and Depression Scale (HADS).
Table 3. The Heart Quality of Life (HeartQoL) questionnaire scores depending on the severity of the anxiety and depression assessed with the Hospital Anxiety and Depression Scale (HADS).
HADSHeartQoLEmotionalHeartQoL PhysicalHeartQoL Global
ANXIETY NMean ± SDpMean ± SDpMean ± SDp
Normal 1612.54 ± 0.600.00012.78 ± 0.460.00182.71 ± 0.450.0002
Borderline 261.90 ± 0.722.63 ± 0.462.43 ± 0.44
Abnormal132.10 ± 0.732.41 ± 0.872.32 ± 0.78
DEPRESSIONNMean ± SDpMean ± SDpMean ± SDp
Normal 1812.50 ± 0.600.00092.79 ± 0.430.00012.71 ± 0.420.0008
Borderline 131.94 ± 0.872.55 ± 0.402.38 ± 0.46
Abnormal61.46 ± 0.801.57 ± 1.051.54 ± 0.93
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Michalski, P.; Kosobucka-Ozdoba, A.; Pietrzykowski, Ł.; Kasprzak, M.; Grzelakowska, K.; Rzepka-Cholasińska, A.; Kubica, A. Functioning in an Illness and Quality of Life versus the Prevalence of Depression and Anxiety Disorders in Patients with High Cardiovascular Risk. Nurs. Rep. 2024, 14, 2596-2604. https://doi.org/10.3390/nursrep14030191

AMA Style

Michalski P, Kosobucka-Ozdoba A, Pietrzykowski Ł, Kasprzak M, Grzelakowska K, Rzepka-Cholasińska A, Kubica A. Functioning in an Illness and Quality of Life versus the Prevalence of Depression and Anxiety Disorders in Patients with High Cardiovascular Risk. Nursing Reports. 2024; 14(3):2596-2604. https://doi.org/10.3390/nursrep14030191

Chicago/Turabian Style

Michalski, Piotr, Agata Kosobucka-Ozdoba, Łukasz Pietrzykowski, Michał Kasprzak, Klaudyna Grzelakowska, Alicja Rzepka-Cholasińska, and Aldona Kubica. 2024. "Functioning in an Illness and Quality of Life versus the Prevalence of Depression and Anxiety Disorders in Patients with High Cardiovascular Risk" Nursing Reports 14, no. 3: 2596-2604. https://doi.org/10.3390/nursrep14030191

Article Metrics

Back to TopTop