Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study
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Abstract Background Nutrition education is a key component of secondary prevention in patients with stable coronary artery disease (SCAD). Although clinical guidelines emphasise lifestyle counselling, limited attention has been paid to how nutrition education is organised and who delivers it in inpatient settings. Aim To describe current practices in nutrition education for patients with SCAD in inpatient care and to identify organisational and professional factors associated with nurse-led nutrition education. Methods A cross-sectional survey was conducted among 602 nurses working in inpatient cardiology, internal medicine, and cardiac surgery wards. The primary outcome was nurse-led nutrition education, defined as cases in which nurses were identified as the primary providers of nutrition education. Associations were analysed using descriptive statistics, chi-square tests, and logistic regression. Results Nurses were the most frequently reported providers of nutrition education. Among respondents, 36.4% reported that nurses always provided nutrition education, and 44.5% reported that nurses often provided it. The frequency of education differed significantly across professional groups (χ² = 37.16, p = 0.042; Cramer’s V = 0.25). Nurse-led nutrition education was more commonly reported in cardiology-focused wards and among nurses with greater professional experience. Limited time allocation for nutrition education was frequently reported across settings. In multivariable analysis, workplace context and professional experience were independently associated with nurse-led nutrition education, whereas hospital location was not. Conclusions Nurses play a central role in delivering nutrition education to patients with SCAD in inpatient care. The findings highlight that nurse-led nutrition education is strongly influenced by organisational conditions rather than individual characteristics alone, underscoring the need for institutional support to facilitate consistent implementation of guideline-based lifestyle counselling.
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Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study Sylva Bártlová, Lenka Šedová, Věra Stasková, Andrea Hudáčková, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8650781/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Background Nutrition education is a key component of secondary prevention in patients with stable coronary artery disease (SCAD). Although clinical guidelines emphasise lifestyle counselling, limited attention has been paid to how nutrition education is organised and who delivers it in inpatient settings. Aim To describe current practices in nutrition education for patients with SCAD in inpatient care and to identify organisational and professional factors associated with nurse-led nutrition education. Methods A cross-sectional survey was conducted among 602 nurses working in inpatient cardiology, internal medicine, and cardiac surgery wards. The primary outcome was nurse-led nutrition education, defined as cases in which nurses were identified as the primary providers of nutrition education. Associations were analysed using descriptive statistics, chi-square tests, and logistic regression. Results Nurses were the most frequently reported providers of nutrition education. Among respondents, 36.4% reported that nurses always provided nutrition education, and 44.5% reported that nurses often provided it. The frequency of education differed significantly across professional groups (χ² = 37.16, p = 0.042; Cramer’s V = 0.25). Nurse-led nutrition education was more commonly reported in cardiology-focused wards and among nurses with greater professional experience. Limited time allocation for nutrition education was frequently reported across settings. In multivariable analysis, workplace context and professional experience were independently associated with nurse-led nutrition education, whereas hospital location was not. Conclusions Nurses play a central role in delivering nutrition education to patients with SCAD in inpatient care. The findings highlight that nurse-led nutrition education is strongly influenced by organisational conditions rather than individual characteristics alone, underscoring the need for institutional support to facilitate consistent implementation of guideline-based lifestyle counselling. Nursing practice nutrition education nurse-led care secondary prevention coronary artery disease cardiovascular nursing Introduction Stable coronary artery disease (SCAD) represents a major public health burden and requires long-term, comprehensive secondary prevention strategies to reduce morbidity and mortality. In addition to pharmacological treatment, modification of lifestyle-related risk factors remains a cornerstone of secondary prevention, as consistently emphasised in the European Society of Cardiology guidelines for the management of chronic coronary syndromes ( 1 , 2 ). These guidelines underline the importance of structured lifestyle counselling, including nutrition education, as an integral component of routine cardiovascular care. Although the benefits of lifestyle modification in secondary prevention are well established, their implementation in everyday clinical practice remains suboptimal. Data from large European surveys demonstrate persistent gaps between guideline recommendations and real-world practice, particularly in lifestyle counselling and patient education ( 3 ). These findings indicate that organisational conditions and workforce-related factors play a critical role in determining whether preventive interventions are delivered consistently and effectively. Nutrition education constitutes an essential element of secondary prevention strategies and has been shown to support dietary changes in patients with coronary artery disease in specific clinical contexts, such as cardiac rehabilitation programmes ( 4 ). However, beyond questions of effectiveness, increasing attention has been paid to how nutrition education is organised, by whom it is delivered, and under what institutional conditions it is integrated into routine care. Within multidisciplinary cardiovascular care, nurses are increasingly involved in cardiovascular risk assessment, patient education, and communication. Their role in delivering lifestyle-related counselling has been highlighted in previous studies, which emphasise nurses’ accessibility to patients and their potential contribution to preventive care through repeated, patient-centred interactions ( 5 , 6 , 7 ). In inpatient settings in particular, nurses are often well positioned to initiate and reinforce nutrition-related education during hospitalisation. From an organisational perspective, nurse-led nutrition education can be understood as part of task redistribution within secondary prevention, whereby responsibilities for lifestyle counselling are shared across professional groups. The success of such arrangements depends on role clarity, institutional support, and adequate allocation of time and resources ( 8 ). Despite its relevance, empirical evidence describing how nutrition education is organised in inpatient cardiology-related settings and which organisational and professional factors are associated with nurse-led delivery remains limited. The aim of this study was therefore to describe current practices in nutrition education for patients with stable coronary artery disease in inpatient cardiology-related settings in the Czech Republic, with a particular focus on the role of nurses and on organisational and professional factors associated with nurse-led nutrition education. Methods Study Design A cross-sectional survey was conducted to describe current practices in nutrition education for patients with stable coronary artery disease (SCAD), with particular emphasis on nurses' roles. Participants and Sampling The study sample consisted of 602 registered nurses working in cardiology-related inpatient settings (cardiology, internal medicine, and cardiothoracic surgery wards) across the Czech Republic. A quota-based sampling strategy was used to approximate the national distribution of nurses across regions, ages, and workplace types. Nurses were approached through healthcare facilities participating in the survey. Participation was voluntary, and all respondents provided informed consent prior to data collection. The study was not designed as a probability-based sample and therefore, does not allow for full national representativeness. Clinical trial number: not applicable. Data Collection and Instrument Data were collected between January and March 2024 using a structured face-to-face interview administered by trained interviewers. The questionnaire was developed specifically for this study and focused on nutrition education as part of secondary prevention in patients with SCAD. The semi-structured interview guide was specifically developed for this study, based on a review of the relevant literature and the study objectives. The personal interview method was chosen to ensure completeness and clarification of questions. An English version of the interview guide is available as a supplementary file (Additional file 1). The instrument included items addressing: provision of nutrition education (yes/no), professional responsibility for nutrition education (nurse, physician, nutrition therapist), perceived adequacy of time allocated for nutrition education, selected sociodemographic and professional characteristics of respondents (age, education, years of practice, workplace type). The questionnaire was pilot tested for clarity and feasibility prior to data collection. Due to its exploratory and descriptive nature, the instrument was not intended as a standardized psychometric tool. The primary outcome of the study was nurse-led nutrition education, defined as cases in which the nurse was identified as the primary professional responsible for providing nutrition education to patients with stable coronary artery disease. Responses indicating that nutrition education was provided primarily by a physician or a nutrition therapist were classified as non–nurse-led education. Responses categorised as “unsure” regarding the primary provider of nutrition education were included in descriptive analyses but excluded from regression models. Statistical Analysis Descriptive statistics were used to summarize respondent characteristics and key outcome variables. Associations between the provision of nutrition education and selected sociodemographic or professional variables were examined using chi-square tests of independence. To complement statistical significance testing, effect sizes were calculated using Cramer’s V, interpreted as small (≈ 0.10), medium (≈ 0.30), or large (≥ 0.50). Statistical significance was set at p < 0.05. All analyses were conducted using IBM SPSS Statistics. Results Characteristics of the study sample The study sample consisted of 602 nurses working in inpatient cardiology-related settings. The majority of respondents were female (93.2%), and most nurses were aged 40–59 years. More than two-thirds of participants had over ten years of professional experience. Most respondents worked in internal medicine wards, followed by cardiology and cardiac surgery units. A detailed description of the demographic and professional characteristics of the study sample is presented in Table 1 . Table 1 Characteristics of the study sample (N = 602) Characteristic n % Sex Male 41 6.8 Female 561 93.2 Age group (years) ≤ 30 72 12.0 31–39 143 23.8 40–49 198 32.8 50–59 137 22.8 ≥ 60 52 8.6 Education level Secondary medical education 224 37.2 Tertiary professional education 162 26.9 Bachelor’s degree 146 24.3 Master’s degree 60 10.0 Other 10 1.7 Specialised education Yes 116 19.3 No 486 80.7 Type of ward Cardiac surgery 72 12.0 Cardiology 97 16.1 Internal medicine 433 71.9 Type of hospital Teaching hospital 165 27.4 Regional hospital 135 22.4 Regional/District hospital 103 17.1 City hospital 84 14.0 Private hospital 98 16.3 Military hospital 17 2.8 Other 9 1.5 Length of professional experience ≤ 2 years 37 6.1 3–5 years 72 12.0 6–10 years 108 17.9 > 10 years 385 64.0 Provision of nutrition education by professional groups Respondents reported varying frequencies of direct education on modifiable cardiovascular risk factors across professional groups. Nurses and physicians were the most frequently involved professionals. Among nurses, 36.4% reported always providing direct education and 44.5% reported doing so often. Physicians reported the highest proportion of always providing education (49.0%). In contrast, nutrition therapists and physiotherapists were less consistently involved, while psychologists, pharmacists, and social workers were rarely involved in direct education. The distribution of reported frequencies by professional group is shown in Table 2 . Table 2 Frequency of direct education on modifiable cardiovascular risk factors by professional group (%) Professional group Always Often Occasionally Seldom Never Nurse 36.4 44.5 16.6 1.5 1.0 Physician 49.0 36.7 12.0 2.0 0.3 Nutrition therapist 22.6 42.8 24.6 5.0 5.0 Physiotherapist 19.3 40.9 27.2 8.8 3.8 Psychologist 5.8 16.6 29.9 34.9 12.8 Pharmacist 4.2 12.3 18.4 27.1 38.0 Social worker 4.8 17.9 33.3 27.7 16.3 Comparison of frequency of education across professional groups Descriptive statistics further illustrate differences in educational attainment across professional groups. Lower mean scores indicate more frequent involvement in education. Nurses (mean = 1.86) and physicians (mean = 1.68) demonstrated the highest frequency of educational activity, whereas psychologists, pharmacists, and social workers showed substantially higher mean values, indicating infrequent involvement. Nutrition therapists and physiotherapists occupied an intermediate position. Detailed descriptive statistics, including mode, median, variance, and standard deviation, are presented in Table 3 . Table 3 Frequency of direct education on modifiable cardiovascular risk factors by professional group (descriptive statistics ) Professional group N Mode Median Mean Variance SD Nurse 602 2 2 1.86 0.66 0.81 Physician 602 1 2 1.68 0.62 0.79 Nutrition therapist 602 2 2 2.27 1.05 1.02 Physiotherapist 602 2 2 2.37 1.02 1.01 Psychologist 602 4 3 3.32 1.16 1.08 Pharmacist 602 5 4 3.83 1.40 1.18 Social worker 602 3 3 3.33 1.19 1.09 Mode = most frequent response; SD = standard deviation. Associations between professional group and frequency of education Chi-square analysis revealed a statistically significant association between professional group and the frequency of direct education on modifiable cardiovascular risk factors (χ² = 37.16, df = 24, p = 0.042). The strength of this association was small to moderate (Cramer’s V = 0.25). These results indicate that the frequency of educational activities differs meaningfully across professional roles. Results of the chi-square analysis are summarised in Table 4. Summary of key findings Overall, the results demonstrate that nurses and physicians are the primary providers of direct education on modifiable cardiovascular risk factors in inpatient settings. However, substantial differences exist between professional groups, with limited involvement of other healthcare professionals. These findings highlight the central role of nurses in nutrition education and underscore the importance of organisational and professional factors in shaping educational practices. Discussion This study examined the organisational and professional aspects of nutrition education for patients with stable coronary artery disease in inpatient cardiology settings, with a particular focus on nurses' roles. Rather than assessing the effectiveness of nutrition education on patient outcomes, the study aimed to characterise how nutrition education is delivered in routine clinical practice and which factors are associated with nurse-led provision. The findings indicate that nurses are frequently identified as the primary providers of nutrition education, underscoring their central role in contemporary secondary prevention. This observation is consistent with previous research highlighting nurses’ involvement in cardiovascular risk assessment, education, and patient communication as part of multidisciplinary care ( 5 , 6 , 7 ). In inpatient settings, nurses’ continuous presence and close contact with patients may facilitate repeated reinforcement of educational messages, including those related to nutrition. At the same time, the results reveal considerable variability in nutrition education practices across clinical settings. Such variability reflects a broader implementation gap between guideline recommendations and routine care, as documented across Europe. Although ESC guidelines clearly emphasise structured lifestyle counselling as a key component of secondary prevention ( 1 , 2 ), real-world data from the EUROASPIRE V registry demonstrate that lifestyle interventions are not consistently implemented in clinical practice ( 3 ). The present findings suggest that this gap may be partly explained by organisational and contextual factors within healthcare institutions. Organisational constraints, particularly limited time allocation, emerged as an important barrier to the delivery of nutrition education. Time pressure and workload may restrict opportunities for individualised counselling and limit the depth of educational interactions. Similar barriers have been reported in previous studies, where insufficient organisational support was identified as a key obstacle to effective lifestyle counselling in cardiovascular care ( 3 ). Importantly, the present results indicate that nurses often remain involved in nutrition education despite such constraints, highlighting both their commitment to preventive care and the potential vulnerability of education activities to organisational pressures. The association between workplace context and nurse-led nutrition education further underscores the importance of institutional factors. Nurses working in cardiology-focused wards were more likely to report nurse-led provision of nutrition education, suggesting that specialised settings may provide a more supportive environment for integrating preventive activities into routine care pathways. This finding aligns with conceptual discussions on task redistribution in healthcare, which emphasise the need for clear role delineation and organisational support when expanding or formalising nurses’ responsibilities in prevention and education ( 8 ). Although evidence from other clinical contexts indicates that structured nutrition education can support dietary change in patients with coronary artery disease ( 4 ), the present study did not assess patient-level outcomes. Instead, the findings contribute to understanding the organisational conditions under which nutrition education is delivered in inpatient care. From this perspective, strengthening institutional support for nurse-led nutrition education—through protected time, integration into standard care pathways, and clear professional roles—may facilitate more consistent implementation of guideline-recommended secondary prevention strategies ( 1 , 2 ). In summary, the study highlights the central role of nurses in delivering nutrition education to patients with stable coronary artery disease, while also identifying organisational factors that may constrain or enable such activities. Addressing these organisational determinants may be essential for improving the delivery of lifestyle counselling within inpatient cardiovascular care and for narrowing the gap between guideline recommendations and routine clinical practice. Limitations of the Study This study has several limitations. Its cross-sectional design does not allow for causal inference or assessment of the effectiveness of nutrition education on patient outcomes. The use of a quota-based, non-probability sample limits the generalisability of the findings. Data were collected through self-report, which may be affected by recall and social desirability bias. In addition, the questionnaire was developed for this study and was not a standardized psychometric instrument. Finally, the study focused solely on nutrition education and did not examine other components of secondary prevention. Conclusion This study shows that nurses play a central role in delivering nutrition education to patients with stable coronary artery disease in inpatient cardiology settings. The findings indicate that nurse-led nutrition education is influenced primarily by organisational factors, including workplace context and time allocation. Although patient outcomes were not assessed, the results highlight the importance of institutional support and clear role delineation to enable consistent implementation of guideline-based lifestyle counselling in routine inpatient care. These findings have implications for nursing practice by highlighting the need for organisational support and protected time for nurse-led education in inpatient cardiovascular care. Abbreviations SCAD Stable Coronary Artery Disease ESC European Society of Cardiology Declarations Ethics approval and consent to participate The study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Ethics Committee of the Faculty of Health and Social Sciences, University of South Bohemia in České Budějovice (approval no. 5/2022, June 20, 2022). Participation was voluntary, and written informed consent was obtained from all participants prior to data collection. Consent for publication Not applicable. Availability of data and materials Data on Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study https://data.narodni-repozitar.cz/general/datasets/d1erq-2tq82 https://data.narodni-repozitar.cz/general/datasets/d1erq-2tq82 DOI dat: 10.48700/datst.d1erq-2tq82 Competing interests The authors declare that they have no competing interests. Funding This study was supported by the Ministry of Health of the Czech Republic, grant no. NU23-09-00369. The funder had no role in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript. Authors’ contributions SB conceived the study and led the study design. LS, VS, AH, LH, and VK contributed to data collection. SB and LS performed the statistical analyses. SB drafted the manuscript. All authors critically revised the manuscript for important intellectual content and approved the final version. References Piepoli MF, Hoes AW, Agewall S, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;37(29):2315–81. https://doi.org/10.1093/eurheartj/ehw106 . Knuuti J, Wijns W, Saraste A, et al. 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020;41(3):407–77. https://doi.org/10.1093/eurheartj/ehz425 . Kotseva K, De Backer G, De Bacquer D, et al. Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: results from the ESC-EORP EUROASPIRE V registry. Eur J Prev Cardiol. 2019;26(8):824–35. https://doi.org/10.1177/2047487318825350 . Luisi ML, Biffi B, Gheri CF, Sarli E, Rafanelli E, Graziano E, Vidali S, Fattirolli F, Gensini GF, Macchi C. Efficacy of a nutritional education program to improve diet in patients attending a cardiac rehabilitation program: outcomes of a one-year follow-up. Intern Emerg Med. 2015;10(6):671–6. https://doi.org/10.1007/s11739-015-1211-y . Kavita K, Thakur JS, Vijayvergiya R, Ghai S. Nurses’ role in cardiovascular risk assessment and communication: Indian nurses’ perspective. Int J Non-Commun Dis. 2020;5(1):4. https://doi.org/10.4103/jncd.jncd_29_19 . Jorstad HT, von Birgelen C, Alings AM, et al. Effect of a nurse-coordinated prevention programme on cardiovascular risk after an acute coronary syndrome: main results of the RESPONSE trial. Eur J Prev Cardiol. 2015;22(6):747–55. https://doi.org/10.1177/2047487314533217 . Snaterse M, Dobber J, Jepma P, et al. Effective components of nurse-coordinated care to prevent recurrent coronary events: a systematic review and meta-analysis. Eur J Cardiovasc Nurs. 2016;15(2):88–100. https://doi.org/10.1177/1474515115572044 . Khatib R, Keenan K. Implementation of cardiovascular prevention strategies: organisational and workforce considerations. Eur J Prev Cardiol. 2020;27(15):1624–32. https://doi.org/10.1177/2047487319875170 . Additional Declarations No competing interests reported. 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In addition to pharmacological treatment, modification of lifestyle-related risk factors remains a cornerstone of secondary prevention, as consistently emphasised in the European Society of Cardiology guidelines for the management of chronic coronary syndromes (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). These guidelines underline the importance of structured lifestyle counselling, including nutrition education, as an integral component of routine cardiovascular care.\u003c/p\u003e \u003cp\u003eAlthough the benefits of lifestyle modification in secondary prevention are well established, their implementation in everyday clinical practice remains suboptimal. Data from large European surveys demonstrate persistent gaps between guideline recommendations and real-world practice, particularly in lifestyle counselling and patient education (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). These findings indicate that organisational conditions and workforce-related factors play a critical role in determining whether preventive interventions are delivered consistently and effectively.\u003c/p\u003e \u003cp\u003eNutrition education constitutes an essential element of secondary prevention strategies and has been shown to support dietary changes in patients with coronary artery disease in specific clinical contexts, such as cardiac rehabilitation programmes (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). However, beyond questions of effectiveness, increasing attention has been paid to how nutrition education is organised, by whom it is delivered, and under what institutional conditions it is integrated into routine care.\u003c/p\u003e \u003cp\u003eWithin multidisciplinary cardiovascular care, nurses are increasingly involved in cardiovascular risk assessment, patient education, and communication. Their role in delivering lifestyle-related counselling has been highlighted in previous studies, which emphasise nurses\u0026rsquo; accessibility to patients and their potential contribution to preventive care through repeated, patient-centred interactions (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). In inpatient settings in particular, nurses are often well positioned to initiate and reinforce nutrition-related education during hospitalisation.\u003c/p\u003e \u003cp\u003eFrom an organisational perspective, nurse-led nutrition education can be understood as part of task redistribution within secondary prevention, whereby responsibilities for lifestyle counselling are shared across professional groups. The success of such arrangements depends on role clarity, institutional support, and adequate allocation of time and resources (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). Despite its relevance, empirical evidence describing how nutrition education is organised in inpatient cardiology-related settings and which organisational and professional factors are associated with nurse-led delivery remains limited.\u003c/p\u003e \u003cp\u003eThe aim of this study was therefore to describe current practices in nutrition education for patients with stable coronary artery disease in inpatient cardiology-related settings in the Czech Republic, with a particular focus on the role of nurses and on organisational and professional factors associated with nurse-led nutrition education.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Design\u003c/h2\u003e \u003cp\u003eA cross-sectional survey was conducted to describe current practices in nutrition education for patients with stable coronary artery disease (SCAD), with particular emphasis on nurses' roles.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eParticipants and Sampling\u003c/h3\u003e\n\u003cp\u003eThe study sample consisted of 602 registered nurses working in cardiology-related inpatient settings (cardiology, internal medicine, and cardiothoracic surgery wards) across the Czech Republic. A quota-based sampling strategy was used to approximate the national distribution of nurses across regions, ages, and workplace types.\u003c/p\u003e \u003cp\u003eNurses were approached through healthcare facilities participating in the survey. Participation was voluntary, and all respondents provided informed consent prior to data collection. The study was not designed as a probability-based sample and therefore, does not allow for full national representativeness. Clinical trial number: not applicable.\u003c/p\u003e\n\u003ch3\u003eData Collection and Instrument\u003c/h3\u003e\n\u003cp\u003eData were collected between January and March 2024 using a structured face-to-face interview administered by trained interviewers. The questionnaire was developed specifically for this study and focused on nutrition education as part of secondary prevention in patients with SCAD. The semi-structured interview guide was specifically developed for this study, based on a review of the relevant literature and the study objectives. The personal interview method was chosen to ensure completeness and clarification of questions. An English version of the interview guide is available as a supplementary file (Additional file 1).\u003c/p\u003e \u003cp\u003eThe instrument included items addressing:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eprovision of nutrition education (yes/no),\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eprofessional responsibility for nutrition education (nurse, physician, nutrition therapist),\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eperceived adequacy of time allocated for nutrition education,\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eselected sociodemographic and professional characteristics of respondents (age, education, years of practice, workplace type).\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThe questionnaire was pilot tested for clarity and feasibility prior to data collection. Due to its exploratory and descriptive nature, the instrument was not intended as a standardized psychometric tool.\u003c/p\u003e \u003cp\u003eThe primary outcome of the study was nurse-led nutrition education, defined as cases in which the nurse was identified as the primary professional responsible for providing nutrition education to patients with stable coronary artery disease.\u003c/p\u003e \u003cp\u003eResponses indicating that nutrition education was provided primarily by a physician or a nutrition therapist were classified as non\u0026ndash;nurse-led education. Responses categorised as \u0026ldquo;unsure\u0026rdquo; regarding the primary provider of nutrition education were included in descriptive analyses but excluded from regression models.\u003c/p\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eDescriptive statistics were used to summarize respondent characteristics and key outcome variables. Associations between the provision of nutrition education and selected sociodemographic or professional variables were examined using chi-square tests of independence.\u003c/p\u003e \u003cp\u003eTo complement statistical significance testing, effect sizes were calculated using Cramer\u0026rsquo;s V, interpreted as small (\u0026asymp;\u0026thinsp;0.10), medium (\u0026asymp;\u0026thinsp;0.30), or large (\u0026ge;\u0026thinsp;0.50). Statistical significance was set at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05. All analyses were conducted using IBM SPSS Statistics.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eCharacteristics of the study sample\u003c/h2\u003e \u003cp\u003eThe study sample consisted of 602 nurses working in inpatient cardiology-related settings. The majority of respondents were female (93.2%), and most nurses were aged 40\u0026ndash;59 years. More than two-thirds of participants had over ten years of professional experience. Most respondents worked in internal medicine wards, followed by cardiology and cardiac surgery units. A detailed description of the demographic and professional characteristics of the study sample is presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCharacteristics of the study sample (N\u0026thinsp;=\u0026thinsp;602)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCharacteristic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003en\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e%\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSex\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e561\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e93.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge group (years)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026le;\u0026thinsp;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e31\u0026ndash;39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e143\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e23.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e40\u0026ndash;49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e198\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e32.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e50\u0026ndash;59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e137\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026ge;\u0026thinsp;60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEducation level\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSecondary medical education\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e224\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e37.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTertiary professional education\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBachelor\u0026rsquo;s degree\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e146\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaster\u0026rsquo;s degree\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSpecialised education\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYes\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e116\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e19.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e486\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e80.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eType of ward\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCardiac surgery\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCardiology\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInternal medicine\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e433\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e71.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eType of hospital\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTeaching hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e165\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e27.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegional hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e135\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e22.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegional/District hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e103\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCity hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrivate hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMilitary hospital\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eLength of professional experience\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026le;\u0026thinsp;2 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u0026ndash;5 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e6\u0026ndash;10 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e108\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;10 years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e385\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e64.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eProvision of nutrition education by professional groups\u003c/h3\u003e\n\u003cp\u003eRespondents reported varying frequencies of direct education on modifiable cardiovascular risk factors across professional groups. Nurses and physicians were the most frequently involved professionals. Among nurses, 36.4% reported always providing direct education and 44.5% reported doing so often. Physicians reported the highest proportion of always providing education (49.0%). In contrast, nutrition therapists and physiotherapists were less consistently involved, while psychologists, pharmacists, and social workers were rarely involved in direct education. The distribution of reported frequencies by professional group is shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eFrequency of direct education on modifiable cardiovascular risk factors by professional group (%)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProfessional group\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eAlways\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eOften\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOccasionally\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSeldom\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNever\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNurse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e36.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e44.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e16.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhysician\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e49.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e36.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNutrition therapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e22.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e42.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhysiotherapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e40.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e27.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e8.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e3.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePsychologist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e29.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e34.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e12.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePharmacist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e18.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e27.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e38.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSocial worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e17.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e33.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e27.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e16.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eComparison of frequency of education across professional groups\u003c/h3\u003e\n\u003cp\u003eDescriptive statistics further illustrate differences in educational attainment across professional groups. Lower mean scores indicate more frequent involvement in education. Nurses (mean\u0026thinsp;=\u0026thinsp;1.86) and physicians (mean\u0026thinsp;=\u0026thinsp;1.68) demonstrated the highest frequency of educational activity, whereas psychologists, pharmacists, and social workers showed substantially higher mean values, indicating infrequent involvement. Nutrition therapists and physiotherapists occupied an intermediate position. Detailed descriptive statistics, including mode, median, variance, and standard deviation, are presented in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eFrequency of direct education on modifiable cardiovascular risk factors by professional group (descriptive statistics\u003c/b\u003e)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProfessional group\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eN\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMode\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMedian\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eVariance\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNurse\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.81\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhysician\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNutrition therapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhysiotherapist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePsychologist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePharmacist\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSocial worker\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e602\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e1.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eMode\u0026thinsp;=\u0026thinsp;most frequent response; SD\u0026thinsp;=\u0026thinsp;standard deviation.\u003c/em\u003e \u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eAssociations between professional group and frequency of education\u003c/h2\u003e \u003cp\u003eChi-square analysis revealed a statistically significant association between professional group and the frequency of direct education on modifiable cardiovascular risk factors (χ\u0026sup2; = 37.16, df\u0026thinsp;=\u0026thinsp;24, p\u0026thinsp;=\u0026thinsp;0.042). The strength of this association was small to moderate (Cramer\u0026rsquo;s V\u0026thinsp;=\u0026thinsp;0.25). These results indicate that the frequency of educational activities differs meaningfully across professional roles. Results of the chi-square analysis are summarised in Table\u0026nbsp;4.\u003c/p\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eSummary of key findings\u003c/h2\u003e\n \u003cp\u003eOverall, the results demonstrate that nurses and physicians are the primary providers of direct education on modifiable cardiovascular risk factors in inpatient settings. However, substantial differences exist between professional groups, with limited involvement of other healthcare professionals. These findings highlight the central role of nurses in nutrition education and underscore the importance of organisational and professional factors in shaping educational practices.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study examined the organisational and professional aspects of nutrition education for patients with stable coronary artery disease in inpatient cardiology settings, with a particular focus on nurses' roles. Rather than assessing the effectiveness of nutrition education on patient outcomes, the study aimed to characterise how nutrition education is delivered in routine clinical practice and which factors are associated with nurse-led provision.\u003c/p\u003e \u003cp\u003eThe findings indicate that nurses are frequently identified as the primary providers of nutrition education, underscoring their central role in contemporary secondary prevention. This observation is consistent with previous research highlighting nurses\u0026rsquo; involvement in cardiovascular risk assessment, education, and patient communication as part of multidisciplinary care (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). In inpatient settings, nurses\u0026rsquo; continuous presence and close contact with patients may facilitate repeated reinforcement of educational messages, including those related to nutrition.\u003c/p\u003e \u003cp\u003eAt the same time, the results reveal considerable variability in nutrition education practices across clinical settings. Such variability reflects a broader implementation gap between guideline recommendations and routine care, as documented across Europe. Although ESC guidelines clearly emphasise structured lifestyle counselling as a key component of secondary prevention (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e), real-world data from the EUROASPIRE V registry demonstrate that lifestyle interventions are not consistently implemented in clinical practice (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). The present findings suggest that this gap may be partly explained by organisational and contextual factors within healthcare institutions.\u003c/p\u003e \u003cp\u003eOrganisational constraints, particularly limited time allocation, emerged as an important barrier to the delivery of nutrition education. Time pressure and workload may restrict opportunities for individualised counselling and limit the depth of educational interactions. Similar barriers have been reported in previous studies, where insufficient organisational support was identified as a key obstacle to effective lifestyle counselling in cardiovascular care (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). Importantly, the present results indicate that nurses often remain involved in nutrition education despite such constraints, highlighting both their commitment to preventive care and the potential vulnerability of education activities to organisational pressures.\u003c/p\u003e \u003cp\u003eThe association between workplace context and nurse-led nutrition education further underscores the importance of institutional factors. Nurses working in cardiology-focused wards were more likely to report nurse-led provision of nutrition education, suggesting that specialised settings may provide a more supportive environment for integrating preventive activities into routine care pathways. This finding aligns with conceptual discussions on task redistribution in healthcare, which emphasise the need for clear role delineation and organisational support when expanding or formalising nurses\u0026rsquo; responsibilities in prevention and education (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAlthough evidence from other clinical contexts indicates that structured nutrition education can support dietary change in patients with coronary artery disease (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e), the present study did not assess patient-level outcomes. Instead, the findings contribute to understanding the organisational conditions under which nutrition education is delivered in inpatient care. From this perspective, strengthening institutional support for nurse-led nutrition education\u0026mdash;through protected time, integration into standard care pathways, and clear professional roles\u0026mdash;may facilitate more consistent implementation of guideline-recommended secondary prevention strategies (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn summary, the study highlights the central role of nurses in delivering nutrition education to patients with stable coronary artery disease, while also identifying organisational factors that may constrain or enable such activities. Addressing these organisational determinants may be essential for improving the delivery of lifestyle counselling within inpatient cardiovascular care and for narrowing the gap between guideline recommendations and routine clinical practice.\u003c/p\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eLimitations of the Study\u003c/h2\u003e \u003cp\u003eThis study has several limitations. Its cross-sectional design does not allow for causal inference or assessment of the effectiveness of nutrition education on patient outcomes. The use of a quota-based, non-probability sample limits the generalisability of the findings. Data were collected through self-report, which may be affected by recall and social desirability bias. In addition, the questionnaire was developed for this study and was not a standardized psychometric instrument. Finally, the study focused solely on nutrition education and did not examine other components of secondary prevention.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study shows that nurses play a central role in delivering nutrition education to patients with stable coronary artery disease in inpatient cardiology settings. The findings indicate that nurse-led nutrition education is influenced primarily by organisational factors, including workplace context and time allocation. Although patient outcomes were not assessed, the results highlight the importance of institutional support and clear role delineation to enable consistent implementation of guideline-based lifestyle counselling in routine inpatient care. These findings have implications for nursing practice by highlighting the need for organisational support and protected time for nurse-led education in inpatient cardiovascular care.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSCAD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eStable Coronary Artery Disease\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eESC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEuropean Society of Cardiology\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Ethics Committee of the Faculty of Health and Social Sciences, University of South Bohemia in Česk\u0026eacute; Budějovice (approval no. 5/2022, June 20, 2022). Participation was voluntary, and written informed consent was obtained from all participants prior to data collection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData on Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study\u003cbr\u003e\u003c/strong\u003ehttps://data.narodni-repozitar.cz/general/datasets/d1erq-2tq82\u003cbr\u003e\u0026nbsp;https://data.narodni-repozitar.cz/general/datasets/d1erq-2tq82\u003cbr\u003eDOI dat: 10.48700/datst.d1erq-2tq82\u003cstrong\u003e\u003cbr\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was supported by the Ministry of Health of the Czech Republic, grant no. NU23-09-00369. The funder had no role in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSB conceived the study and led the study design. LS, VS, AH, LH, and VK contributed to data collection. SB and LS performed the statistical analyses. SB drafted the manuscript. All authors critically revised the manuscript for important intellectual content and approved the final version.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003ePiepoli MF, Hoes AW, Agewall S, et al. 2016 European guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;37(29):2315\u0026ndash;81. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/eurheartj/ehw106\u003c/span\u003e\u003cspan address=\"10.1093/eurheartj/ehw106\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKnuuti J, Wijns W, Saraste A, et al. 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020;41(3):407\u0026ndash;77. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/eurheartj/ehz425\u003c/span\u003e\u003cspan address=\"10.1093/eurheartj/ehz425\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKotseva K, De Backer G, De Bacquer D, et al. Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: results from the ESC-EORP EUROASPIRE V registry. Eur J Prev Cardiol. 2019;26(8):824\u0026ndash;35. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/2047487318825350\u003c/span\u003e\u003cspan address=\"10.1177/2047487318825350\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLuisi ML, Biffi B, Gheri CF, Sarli E, Rafanelli E, Graziano E, Vidali S, Fattirolli F, Gensini GF, Macchi C. Efficacy of a nutritional education program to improve diet in patients attending a cardiac rehabilitation program: outcomes of a one-year follow-up. Intern Emerg Med. 2015;10(6):671\u0026ndash;6. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s11739-015-1211-y\u003c/span\u003e\u003cspan address=\"10.1007/s11739-015-1211-y\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKavita K, Thakur JS, Vijayvergiya R, Ghai S. Nurses\u0026rsquo; role in cardiovascular risk assessment and communication: Indian nurses\u0026rsquo; perspective. Int J Non-Commun Dis. 2020;5(1):4. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.4103/jncd.jncd_29_19\u003c/span\u003e\u003cspan address=\"10.4103/jncd.jncd_29_19\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJorstad HT, von Birgelen C, Alings AM, et al. Effect of a nurse-coordinated prevention programme on cardiovascular risk after an acute coronary syndrome: main results of the RESPONSE trial. Eur J Prev Cardiol. 2015;22(6):747\u0026ndash;55. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/2047487314533217\u003c/span\u003e\u003cspan address=\"10.1177/2047487314533217\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSnaterse M, Dobber J, Jepma P, et al. Effective components of nurse-coordinated care to prevent recurrent coronary events: a systematic review and meta-analysis. Eur J Cardiovasc Nurs. 2016;15(2):88\u0026ndash;100. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/1474515115572044\u003c/span\u003e\u003cspan address=\"10.1177/1474515115572044\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKhatib R, Keenan K. Implementation of cardiovascular prevention strategies: organisational and workforce considerations. Eur J Prev Cardiol. 2020;27(15):1624\u0026ndash;32. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1177/2047487319875170\u003c/span\u003e\u003cspan address=\"10.1177/2047487319875170\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-nursing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nurs","sideBox":"Learn more about [BMC Nursing](http://bmcnurs.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/nurs/default.aspx","title":"BMC Nursing","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Nursing practice, nutrition education, nurse-led care, secondary prevention, coronary artery disease, cardiovascular nursing","lastPublishedDoi":"10.21203/rs.3.rs-8650781/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8650781/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eNutrition education is a key component of secondary prevention in patients with stable coronary artery disease (SCAD). Although clinical guidelines emphasise lifestyle counselling, limited attention has been paid to how nutrition education is organised and who delivers it in inpatient settings.\u003c/p\u003e\u003ch2\u003eAim\u003c/h2\u003e \u003cp\u003eTo describe current practices in nutrition education for patients with SCAD in inpatient care and to identify organisational and professional factors associated with nurse-led nutrition education.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA cross-sectional survey was conducted among 602 nurses working in inpatient cardiology, internal medicine, and cardiac surgery wards. The primary outcome was nurse-led nutrition education, defined as cases in which nurses were identified as the primary providers of nutrition education. Associations were analysed using descriptive statistics, chi-square tests, and logistic regression.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eNurses were the most frequently reported providers of nutrition education. Among respondents, 36.4% reported that nurses always provided nutrition education, and 44.5% reported that nurses often provided it. The frequency of education differed significantly across professional groups (χ\u0026sup2; = 37.16, p\u0026thinsp;=\u0026thinsp;0.042; Cramer\u0026rsquo;s V\u0026thinsp;=\u0026thinsp;0.25). Nurse-led nutrition education was more commonly reported in cardiology-focused wards and among nurses with greater professional experience. Limited time allocation for nutrition education was frequently reported across settings. In multivariable analysis, workplace context and professional experience were independently associated with nurse-led nutrition education, whereas hospital location was not.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eNurses play a central role in delivering nutrition education to patients with SCAD in inpatient care. The findings highlight that nurse-led nutrition education is strongly influenced by organisational conditions rather than individual characteristics alone, underscoring the need for institutional support to facilitate consistent implementation of guideline-based lifestyle counselling.\u003c/p\u003e","manuscriptTitle":"Nurse-Led Nutrition Education in Secondary Prevention of Stable Coronary Artery Disease: Cross-Sectional Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-23 08:19:28","doi":"10.21203/rs.3.rs-8650781/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"169261611704873111165057198229091078252","date":"2026-04-29T01:08:37+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"153505035659160564567386640700445060979","date":"2026-02-19T14:21:46+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-02-19T05:01:43+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2026-01-27T15:33:57+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-01-27T11:24:25+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-01-26T09:45:24+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Nursing","date":"2026-01-26T09:14:05+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-nursing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nurs","sideBox":"Learn more about [BMC Nursing](http://bmcnurs.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/nurs/default.aspx","title":"BMC Nursing","twitterHandle":"@BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"4b9b65f2-43f8-4941-8e33-1bf7cbb2b40f","owner":[],"postedDate":"February 23rd, 2026","published":true,"recentEditorialEvents":[{"type":"reviewerAgreed","content":"169261611704873111165057198229091078252","date":"2026-04-29T01:08:37+00:00","index":76,"fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-02-23T08:19:28+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-23 08:19:28","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8650781","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8650781","identity":"rs-8650781","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
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