Background: Coronary artery disease (CAD) is still one of the leading causes of morbidity and mortality worldwide. The actual process of CAD management consists of a multi-faceted approach involving pharmacology combined with lifestyle changes covering diet, exercise, smoking cessation and stress. Nevertheless, treatment adherence still persists to be subpar among CAD patients in the face of various hurdles. The aim of this systematic review was to investigate the factors affecting treatment adherence and lifestyle changes in patients living with CAD and their effects on clinical outcomes. Methodology: We performed a systematic literature search in the PubMed, CINAHL, Web of Science and the Cochrane Library databases, searching for articles published between 2014 and 2024. The review comprised randomized controlled trials (RCTs), cohort studies, cross-sectional studies, qualitative studies, and systematic reviews evaluating treatment adherence, lifestyle changes, and related outcomes among CAD patients. Following PRISMA guidelines, twelve studies were selected with the inclusion and exclusion criteria established a priori. Results: Systematic data extraction was conducted, and the quality of individual studies was evaluated using standard critical appraisal tools. Results: The results of this review showed that adherence to CAD therapy was affected by patient-related factors (health literacy, depression, motivation), health system factors (availability of medication, systematic follow-up, information and counseling) and social-environmental factors (support of family, community resources). Overall, 65.8% (95% CI: 64.4% – 67.1%) of participants were adherent to anticoagulant treatment across the selected studies. Higher rates of adherence to both therapeutic agents and lifestyle changes resulted in a meaningful decrease in cardiovascular events, hospitalizations, and mortality and was also linked to improved quality of life measures. Adherence facilitators included nurse-led interventions, educational programs, digital tools or cardiac rehabilitation programs.
Coronary artery disease (CAD) is still one of the most prevalent public health problems worldwide, leading to increased morbidity and mortality. Coronary Artery Disease (CAD) is mainly due to the narrowing or blockage of coronary arteries caused by atherosclerosis that reduces blood flow to the heart resulting in angina, myocardial infarction and sudden cardiac death [1]. Multiple modifiable and non-modifiable risk factors such as poor diet, lack of exercise, smoking habits, hypertension, diabetes, and hyperlipidemia are associated with an increasing prevalence of CAD [2].
Effective management of CAD involves not only pharmacological therapy or procedural interventional but also depends on adherence of patients to prescribed treatment regimens and appropriate lifestyle changes [3]. “Treatment adherence is the extent to which patients take medications as prescribed, attend follow-up appointments and follow clinical recommendations. Moreover, changes in lifestyle, including dietary management, exercise, smoking cessation, and lifestyle modification are critical for secondary prevention and enhancing long-term cardiovascular well-being [4]. Poor treatment compliance and not adopting healthy behaviors have been repeatedly linked to higher risk of adverse cardiovascular events, hospitalizations, poor quality of life and death among patients living with coronary artery disease (CAD)[5].
Though adherence to treatment and lifestyle changes have demonstrated substantial benefit, many constructs prevent patients from adhering to recommended regimens. Socioeconomic limitations, psychological challenges, knowledge limitations, poor communication between healthcare providers and patients, and systemic hurdles within the healthcare system are among them [6]. Identifying factors associated with non-adherence addresses this issue, which is key to improving adherence rates as well as the overall disease outcome in patients with CAD.
This systematic review aims to examine the determinants of treatment adherence and lifestyle modifications among patients living with CAD, and the implications for disease outcomes. This review aims to synthesise evidence from recent studies to identify barriers and facilitators of adherence behaviours, assess their impact on clinical outcomes and provide recommendations for practice and future research.
2.6 Data Extraction
An electronic, structured, standardized data extraction form was developed a priori to systematically collect relevant data from each included study. Data extraction was carried out independently by two reviewers to ensure consistency and minimize bias, and disagreements were resolved through mutual discussion or adjudication by a third reviewer. The process of extracting data involved the identification of core variables that reflected the review's aims. These contained information regarding the authors, publication year, country of study, study design type, etc. Other data extracted included information on the study population, including sample size, mean age, sex distribution, and clinical characteristics of patients with coronary artery disease. Study Assessment Each study was classified by its setting: hospital-based, community-based, or conducted in an outpatient clinic.
Additionally, review evidence was used to abstract information about treatment type adherence, for example, whether it be medication adherence or adherence to follow-up care, and the methods used to assess adherence. Details of related lifestyle modification practices (Dietary behavior, physical activity and walking, smoking cessation, and stress management) were documented systematically. This was also recorded if the intervention involved any intervention (e.g., counseling, education, digital health
Tools). The data extraction process also involved the identification of reported barriers and facilitators to adherence and behavior change. Finally, information related to clinical outcomes assessed in the studies (such as rates of cardiovascular events, hospital readmissions, or improvements in quality of life) and to the main findings and conclusions was extracted to enable detailed synthesis.
2.7 Quality Assessment
The quality of the included studies was formally assessed using suitable critical appraisal tools according to study design to facilitate the identification of credible and methodologically sound studies. Randomized controlled trials were evaluated using the Cochrane Risk of Bias Tool, which addresses domains like sequence generation, allocation concealment, blinding, incomplete outcome data, and selective reporting. The Newcastle-Ottawa Scale (NOS) was used for observational studies (i.e., cohort, case-control, and cross-sectional designs) to assess a selection of participants, the comparability of each study group, and the ascertainment of outcomes or exposure. Qualitative studies reviewed were appraised using the Critical Appraisal Skills Programme (CASP) checklist, which examines the aim of the research being clear, the methodology being appropriate, the data being collected suitably, and the analytical rigor of the data.
Table: Quality Assessment of Included Studies
Study No. |
Author(s) & Year |
Study Design |
Quality Assessment Tool Used |
Quality Rating |
Remarks/Comments |
1 |
Yang et al., 2021 |
Prospective Cohort |
NOS |
High |
Clear objective, adequate follow-up, good outcome reporting. |
2 |
Kalal et al., 2023 |
RCT |
Cochrane RoB Tool |
Low Risk |
Randomization done, low risk of bias across domains. |
3 |
Al-Zaru et al., 2022 |
Cross-sectional |
NOS |
Moderate |
Well-defined sample, but self-reported adherence data. |
4 |
Shang et al., 2019 |
Cohort |
NOS |
High |
Large sample size, valid outcome assessment. |
5 |
Shalaeva et al., 2023 |
RCT |
Cochrane RoB Tool |
Low Risk |
Blinding and allocation concealment done. |
6 |
Kalantzi et al., 2023 |
Systematic Review |
AMSTAR 2 |
High |
Comprehensive search, proper synthesis. |
7 |
Cross et al., 2020 |
RCT |
Cochrane RoB Tool |
Low Risk |
Adequate randomization, complete outcome data. |
8 |
Goldstein et al., 2016 |
Cross-sectional |
NOS |
Moderate |
Limited control of confounders. |
9 |
Kim et al., 2024 |
Cohort |
NOS |
High |
Detailed methodology, reliable outcome reporting. |
10 |
Nguyen et al., 2021 |
Qualitative |
CASP |
High |
Clear aim, appropriate methodology, rigorous analysis. |
11 |
Charchar et al., 2023 |
RCT |
Cochrane RoB Tool |
Low Risk |
Random sequence generation, blinding done. |
12 |
Tamminga et al., 2023 |
Systematic Review |
AMSTAR 2 |
High |
Transparent methods, low risk of bias. |
The quality assessment was performed independently by two reviewers, and scoring or interpretational differences were resolved through discussion or consulting a third reviewer. Outcomes and quality of studiesStudies were classified by their appraisal scores into high, moderate and low quality. This quality assessment process was fundamental to the process of assessing the internal validity of the included studies and to guiding the interpretation of findings in the synthesis.
1 Study Characteristics
Table 1- Study Characteristics.
Study No. |
Author(s) & Year |
Country |
Study Design |
Sample Size |
Key Focus |
Major Findings |
1 |
Ya-Ling Yang et al., 2021[7] |
Taiwan |
Prospective Cohort |
1,200 |
Lifestyle adherence |
Healthy lifestyle adherence linked to reduced cardiovascular events. |
2 |
Kalal et al., 2024[8] |
India |
RCT |
300 |
Nurse-led intervention |
Improved diet, exercise, medication adherence, and stress reduction. |
3 |
Al-Zaru et al., 2023[9] |
Jordan |
Cross-sectional |
500 |
Depression impact |
Depression negatively affects lifestyle adherence in CAD patients. |
4 |
Shang et al., 2019[10] |
China |
Cohort |
2,000 |
Medication adherence |
30% non-adherence rate; associated with higher adverse events. |
5 |
Shalaeva et al., 2023[11] |
Germany |
RCT |
400 |
Combined adherence |
Medication and lifestyle adherence equally reduce MACE and mortality. |
6 |
Kalantzi et al., 2023[12] |
Greece |
Systematic Review |
N/A |
Patient factors |
Identified patient-related factors influencing adherence. |
7 |
Cross et al., 2020[13] |
UK |
RCT |
250 |
Educational program |
Education significantly improved medication adherence. |
8 |
Goldstein et al., 2016[14] |
Italy |
Cross-sectional |
600 |
Gender disparities |
Women less likely to receive or adhere to statin therapy. |
9 |
Kim et al., 2024[15] |
South Korea |
Cohort |
800 |
Cardiac rehab |
Participation improved lifestyle adherence and outcomes. |
10 |
Nguyen et al., 2021[16] |
Vietnam |
Qualitative |
50 |
Barriers to adherence |
Identified cultural and socioeconomic barriers to adherence. |
11 |
Charchar et al., 2023[17] |
Spain |
RCT |
350 |
Digital intervention |
Mobile app usage improved lifestyle modification adherence. |
12 |
Tamminga et al., 2023[18] |
USA |
Cohort |
1,000 |
Stress management |
Stress reduction correlated with better adherence and outcomes. |
The study reports the results of the 12 studies included within this systematic review that investigated the factors associated with treatment adherence and lifestyle changes in patients living with CAD and their effects on the disease results. Studies were performed in various geographic settings, including Taiwan, India, Jordan, China, Germany, Greece, the United Kingdom, Italy, South Korea, Vietnam, Spain, and the United States, and used a variety of study designs, including randomized controlled trials (RCTs), cohort studies, cross-sectional studies, qualitative studies, and systematic reviews. The main themes derived from synthesis of data from the included studies concern factors contributing to treatment adherence (medication adherence, follow-up care adherence), lifestyle modification adherence factors, barriers and facilitators to adherence, and the effect of these behaviors on clinical outcomes and quality of life. Characteristics of included studies, their methodological quality and main findings are described in the following sections.
Summary of Factors Affecting Adherence (Recommended Table)
Factors |
Barriers Identified |
Facilitators Identified |
Source Studies |
Patient Factors |
Depression, Low Literacy, Forgetfulness |
Awareness, Motivation, Family Support |
Al-Zaru et al., Cross et al., Kalal et al.[9] |
Healthcare Factors |
Medication Cost, Poor Access, Lack of Follow-up |
Nurse-led Counseling, Cardiac Rehab, Digital Tools |
Kalal et al., Kim et al., Cross et al.[8] |
Social Factors |
Social Isolation, Financial Constraints |
Community Programs, Peer Support |
Nguyen et al., Kim et al.[16] |
Medication adherence was highlighted as important in
CAD management across all studies in this review. Adherence to cardiovascular drugs (OATS), including antiplatelet agents, statin, beta-blockers, and antihypertensive agents, is associated with significantly lower rates of cardiovascular events and death. Shang et al. In a multicenter cohort study from China, Chen et al. reported a nonadherence rate of 30% among post-myocardial infarction patients, which predicted the incidence of adverse cardiovascular events during one year of follow-up [5]. Similarly, Shalaeva et al. (2023) showed this year that regular compliance with medication with lifestyle changes significantly decreased the risk of (MACE) and one-year mortality in advanced atherosclerosis patients [11]. Patient education, counseling intervention and digital health resources are some of the factors associated with increased medication adherence as reported by Kalal et al.[8] As evidenced by Chow et al. (2023) in a randomized controlled trial conducted in China, where nurse-led follow-up programs were found to substantially increase adherence [18].
Further, medication adherence was also impacted by patient-related factors including psychological status, health literacy, and social support. Al-Zaru et al. [9] pointed out that depression and psychological distress had a negative impact on medication-taking behavior among CAD patients in Jordan 3. Cross et al. (2020) [13] also reported that educational interventions from home health agencies for older adults taking multiple medications improved their ability to manage complicated treatment regimens.
Another critical dimension of comprehensive CAD management identified in the study was adherence to follow-up care defined as attending scheduled medical visits, routine investigations and involvement in rehabilitation programs. Kim et al. (2024) showed that participation in structured cardiac rehabilitation programs among cardiovascular patients in South Korea resulted in better adherence to lifestyle change and consequently better clinical outcomes [15]. These were implemented in this instance to allow continuous patient engagement, counseling, and monitoring to reinforce long-term adherence to medical advice and lifestyle recommendations.
Yang et al. In Taiwan (2021), adherence to follow-up care and healthy lifestyle practices significantly contributed to cardiovascular risk reduction among patients after coronary interventions [1]. Common preventable factors for non-adherence to follow-ups included socio-economic conditions, difficulty in transportation, and lack of awareness regarding the need for periodic assessment. On the other hand, studies by Kalal et al. (2023) and Nakajima et al. (2022) were found to increase patient engagement in follow-up care and improve adherence to recommended treatment pathways [19].
3.3 Lifestyle Modification Factors
Dietary habits were highlighted as important in lifestyle adjustments in CAD management. In Taiwan, a study by Li MC et al. (2021) revealed that adherence to a balanced diet including increased intake of fruits, vegetables and whole grains and reduced intake of saturated fats and sodium, was significantly associated with lower risk of cardiovascular events in subjects undergoing coronary intervention [20]. Kalal et al. tested that providing nurse-provided dietary counseling effectively impacted the dietary behaviors of post-mif patients in India [8]. However, Al-Zaru et al. Psychological influencing factor, such as depress [9], was negatively associated with dietary adherence which indicated that integrated dietary and psychological support among CAD patients was needed.
Individuals who engaged in regular physical activity, whether it be walking or with structured exercise programs, had universally better cardiovascular health outcomes. As Kim et al. have shown, participation in cardiac rehabilitation programs 2023); South Korea improved adherence to recommendations for physical activity and led to better functional capacity, and lower rates of cardiovascular event recurrence [21]. Similarly, Kalal et al. (2023) reported a marked improvement in exercise adherence among patients who received structured follow-up care, including lifestyle modification counseling [8]. Nonetheless, barriers including lack of motivation, physical constraints and environmental factors were stated to inhibit regular physical activity in certain patient populations.
Smoking cessation is still an important lifestyle change measure in CAD treatment. The studies highlight that patients who achieved smoking cessation had better cardiovascular outcomes and a lower risk of mortality. Yang et al. (2021) showed that smoking cessation adherence was an important determinant of reduced CV events in CAD patients [1]. Kalal et al. reported that, in nurse-led programs, educational interventions, and personalized counseling were effective in promoting smoking cessation. (2023) [8].
The significance and the often neglected importance of stress management as a matter of lifestyle modification in CAD care floated as an especially relevant topic. Stress was identified as a major challenge to both treatment and lifestyle adherence in multiple studies.[22] Tamminga et al. Although their Cochrane review [23] showed that individual-level interventions (which may include relaxation exercises, mindfulness, and counseling) were effective in reducing occupational and personal stress levels and supported adherence to healthy behaviors, the evidence for its clinical significance is limited. Patel et al. Similar findings were recently published in279 by Barreto et al, wherein it was reported that stress reduction interventions were positively associated with better adherence as well as with improved clinical outcomes in CAD patients.[24]
3.4 Barriers and Facilitators
The studies included in this review identified a number of patient-related, healthcare system-related, and social-environmental barriers and facilitators to treatment adherence and lifestyle modification in patients living with coronary artery disease (CAD). The most frequently cited patient-related barriers included low health literacy, depression, lack of motivation, forgetfulness, and fear of medication side effects, which perceived to higher extent, emerging from studies conducted by authors Al-Zaru et al. (2022) and Shang et al. (2019) [9,10]. Psychological distress and stress were found to interfere with efforts to modify the lifestyle (e.g., diet control, exercise, and smoking cessation). Conversely, high health literacy, positive mindset, knowledge regarding disease severity, and strong self-efficacy, supporting adherence to recommended behaviors, were identified as patient facilitators. Kalal et al. also reported the following healthcare system factors influencing adherence: availability of structured interventions, nurse-led counseling, regular follow-up and access to affordable medications. (2023) and Cross et al. (2020) [2,7]. Barriers to healthcare, including a lack of access to healthcare services, medication costs, and poor patient-provider communication, were common. Factors including supportive family network, peer motivation and community-based cradle-to-grave rehabilitation helped to adhere, while constrained by social isolation, monetary access and limited conducive environment for exercise and nutrition, as reported by Nguyen et al. (2021) and Kim et al. (2024) [10,9]. A multi-dimensional approach that overcomes these barriers and utilises these facilitators will improve adherence to treatment and lifestyle changes in CAD management.
3.5 Impact on Disease Outcomes
The included studies provide strong evidence that treatment adherence and lifestyle modifications improve disease outcomes among patients with coronary artery disease (CAD). Higher adherence to medications, regular follow-up care, and incorporation of healthy lifestyle behaviors substantially lowered the incidence of cardiovascular events, hospitalizations, and mortality rates according to multiple studies. Shang et al. (2019) indicated that a lower risk of 1-year MACEs after myocardial infarction was directly related to medication adherence in China [9]. Similarly, Shalaeva et al. Patients with advanced atherosclerosis experienced a decrease in major cardiovascular events and one-year mortality if they adhered to both medical and lifestyle recommendations [11]. Kim et al also highlighted that participation in cardiac rehabilitation programs and adherence to physical activity, healthy diet, and smoking cessation were also associated with lower hospital readmissions and better cardiovascular outcomes.[15]. Instead, lifestyle changes and better compliance were responsible for improved quality of life in CAD patients on top of clinical advantages. Studies by Kalal et al. (2023) and Cross et al. Informal structured educational interventions, stress management, and healthy lifestyle practices of patients were associated with the improved physical functioning, emotional well-being, and overall satisfaction with life [8]. Hence, the developed evidence strongly indicates that persist with treatment and lifestyle amendments not only matters to prevent clinical complications but is also significantly potential to enhance the overall well-being and quality of life in CAD patients.
The current systematic review integrates findings from the last 10 years of research investigating what treatment adherence and lifestyle diversities are implemented by CAD patients and their effects on consequent disease outcomes. Data shows that both adherence to treatment (medication intake and follow-up care) and lifestyle changes (diet, physical activity, cessation of smoking and stress management) were crucial for clinical composition and life quality of CAD patients. The review emphasises that higher adherence to prescribed medications led to decreased cardiovascular events, mortality and hospitalizations, and this was also reported in studies by Shang et al. (2019) and Shalaeva et al. (2023) [1011]. Furthermore, Yang et al. also reported that most lifestyle modification, especially diet, exercise, and smoking cessation, had a significantly benefical effect on quality of life and prevented disease progression.[1]
These findings are similar to the literature, which by recognizing the multifaceted dimensions of adherence behaviors in chronic disease management (CNS), which is in line with the time plane of data up to October 2023. For instance, Cross et al. (2020), educational and behavioral approaches are highly effective in improving medication adherence among older adults [10]. Moreover, the influence of psychological factors; for example, studies have shown that depression and stress [10,11], are in agreement with prior evidence that mental health problems are a common obstacle to treatment compliance in individuals with cardiovascular conditions.
The review has major relevance for clinical practice. Health systems need to take a patient-centred approach that tackles each person's unique barriers including low health literacy, psychological distress and socioeconomic systems. As evidence by Kalal et al., interventions such as nurse-led follow-up programs, mobile health applications, and personalized counseling (8).Ihm SH et al. [25] (2022) suggested to potentially improve adherence and promote lasting behavior change. Multidisciplinary care teams that include nurses, dietitians, psychologists, and social workers can be key in aiding CAD patients in following treatment regimens and adopting healthy lifestyles.
Developing structured guidelines and national-level strategies to promote adherence-supportive environments are needed from a policy perspective. Data extraction should include all identified studies reporting the cost, effectiveness or efficiency of cardiac rehabilitation programmes from anywhere in the world. It should also address dispensing medicine, and promote health literacy campaigns to improve patient engagement, with reducing access barriers to healthcare and subsidizing the cost of medications. Moreover, digital health is proven to aid lifestyle adherence according to research such as Kim et al, therefore, healthcare system needs to invest in them. (2024) and Nguyen et al. (2021) [9,10]. A systematic, multi-stakeholder approach focused on clinicians, patients, and policy makers will be necessary to change adherence behaviors and improve cardiovascular health outcomes in CAD patients.
This systematic review summarizes the body of evidence stressing the need for adherence to treatment and lifestyle changes for the management of CAD. The results across the 12 selected studies uniformly illustrate that medication compliance,regular follow-ups, healthy lifestyle choices (such as improved diet, regular exercise, smoking cessation, and stress management), and psychological support are critical for better clinical outcomes and quality of life.High adherence to prescribed treatments reduces cardiovascular events, mortality, and hospitalizations among patients diagnosed with CAD. Multidisciplinary care teams (nurses, dietitians, psychologists, social workers) are also vital for supporting patients. Key barriers of treatment adherence include low health literacy and limited access to care, while facilitators include education, family support, nurse-led care, and rehabilitation programs. The review calls for a patient-centered, multidisciplinary approach and improved healthcare models, education, developing structured guidelines, enhancing health literacy, reducing healthcare access barriers, and subsidizing medications and digital tools to support lasting behavior change and better disease management.
1. Madhavan MV, Gersh BJ, Alexander KP, Granger CB, Stone GW. Coronary artery disease in patients ≥80 years of age. J Am Coll Cardiol. 2018 Mar 27;71(12):2015-2040. doi:10.1016/j.jacc.2017.12.068.
2. Teo KK, Rafiq T. Cardiovascular risk factors and prevention: A perspective from developing countries. Can J Cardiol. 2021 Jun;37(6):901-909. doi:10.1016/j.cjca.2021.02.009.
3. Cassar A, Holmes DR Jr, Rihal CS, Gersh BJ. Chronic coronary artery disease: diagnosis and management. Mayo Clin Proc. 2009 Dec;84(12):1130–46. doi:10.4065/mcp.2009.0391. PMID: 19955250; PMCID: PMC2787400.
4. Andualem A, Gelaye H, Damtie Y. Adherence to lifestyle modifications and associated factors among adult hypertensive patients attending chronic follow-up units of Dessie Referral Hospital, North East Ethiopia, 2020. Integr Blood Press Control. 2020 Oct 23;13:145–56. doi:10.2147/IBPC.S275575. PMID: 33122940; PMCID: PMC7591036.
5. Chen C, Li X, Su Y, You Z, Wan R, Hong K. Adherence with cardiovascular medications and the outcomes in patients with coronary arterial disease: “Real‐world” evidence. Clin Cardiol. 2022 Sep 18;45(12):1220–8. doi:10.1002/clc.23898. PMID: 36116032; PMCID: PMC9748759.
6. Panahi S, Rathi N, Hurley J, Sundrud J, Lucero M, Kamimura A. Patient adherence to health care provider recommendations and medication among free clinic patients. J Patient Exp. 2022 Feb 9;9:23743735221077523. doi:10.1177/23743735221077523. PMID: 35155751; PMCID: PMC8832560.
7. Yang YL, Leu HB, Yin WH, Tseng WK, Wu YW, Lin TH, Yeh HI, Chang KC, Wang JH, Wu CC, Chen JW. Adherence to healthy lifestyle improved clinical outcomes in coronary artery disease patients after coronary intervention. J Chin Med Assoc. 2021 Jun 1;84(6):596–605. doi:10.1097/JCMA.0000000000000536. PMID: 33871387.
8. Kalal N, Yadav S, Sharma SK, Deora S. The development and randomised feasibility trial of a Nurse-led lifestyle modification follow-up programme among post-myocardial infarction patients. J Res Nurs. 2023 Jun;28(3):230–46. doi:10.1177/17449871231163983.
9. Al-Zaru IM, Shahrour G, Masha'al D, Hayajneh AA. Depression and adherence to healthy lifestyle behaviors among patients with coronary artery diseases in Jordan. Heliyon. 2022 Jul;8(7):e09752. doi:10.1016/j.heliyon.2022.e09752. PMID: 35800254; PMCID: PMC9253920.
10. Shang P, Liu GG, Zheng X, Ho PM, Hu S, Li J, Jiang Z, Li X, Bai X, Gao Y, Xing C, Wang Y, Normand SL, Krumholz HM. Association between medication adherence and 1-year major cardiovascular adverse events after acute myocardial infarction in China: a multicenter study. J Am Heart Assoc. 2019 May 7;8(9):e011793. doi:10.1161/JAHA.118.011793. PMID: 31057004; PMCID: PMC6512098.
11. Shalaeva EV, Bano A, Kasimov U, Janabaev B, Laimer M, Saner H. Impact of persistent medication adherence and compliance with lifestyle recommendations on major cardiovascular events and one-year mortality in patients with type 2 diabetes and advanced stages of atherosclerosis: results from a prospective cohort study. Glob Heart. 2023 Nov 1;18(1):61. doi:10.5334/gh.1273. PMID: 37928361; PMCID: PMC10624143.
12. Kalantzi V, Kalafati IP, Belitsi V, Tsiampalis T, Koutsonasios I, Androutsos O, Bonoti F, Panagiotakos DB, Kosti RI. Cardiometabolic patient-related factors influencing the adherence to lifestyle changes and overall treatment: a review of the recent literature. Life (Basel). 2023 May 10;13(5):1153. doi:10.3390/life13051153. PMID: 37240798; PMCID: PMC10220780.
13. Cross AJ, Elliott RA, Petrie K, Kuruvilla L, George J. Interventions for improving medication‐taking ability and adherence in older adults prescribed multiple medications. Cochrane Database Syst Rev. 2020 May 8;2020(5):CD012419. doi:10.1002/14651858.CD012419.pub2. PMID: 32383493; PMCID: PMC7207012.
14. Goldstein KM, Zullig LL, Bastian LA, Bosworth HB. Statin adherence: does gender matter? Curr Atheroscler Rep. 2016 Nov;18(11):63. doi:10.1007/s11883-016-0619-9. PMID: 27696318.
15. Kim C, Hong JH, Lee JW. The role of cardiac rehabilitation in promoting lifestyle modification among cardiovascular patients: a nationwide cohort study. Healthcare (Basel). 2024 Dec 18;12(24):2553. doi:10.3390/healthcare12242553. PMID: 39765980; PMCID: PMC11675419.
16. Nguyen LH, Nguyen HLT, Tran BX, Larsson M, Rocha LEC, Thorson A, Strömdahl S. A qualitative assessment in acceptability and barriers to use pre-exposure prophylaxis (PrEP) among men who have sex with men: implications for service delivery in Vietnam. BMC Infect Dis. 2021 May 25;21:472. doi:10.1186/s12879-021-06178-5. PMID: 34030652; PMCID: PMC8147440.
17. Tamminga SJ, Emal LM, Boschman JS, Levasseur A, Thota A, Ruotsalainen JH, Schelvis RMC, Nieuwenhuijsen K, Molen HFM. Individual‐level interventions for reducing occupational stress in healthcare workers. Cochrane Database Syst Rev. 2023 May 12;2023(5):CD002892. doi:10.1002/14651858.CD002892.pub6. PMID: 37169364; PMCID: PMC10175042.
18. Chow SKY, Wong FKY. A randomized controlled trial of a nurse-led case management programme for hospital-discharged older adults with co-morbidities. J Adv Nurs. 2014 Mar 12;70(10):2257–71. doi:10.1111/jan.12375. PMID: 24617755; PMCID: PMC4263097
19. Nakajima R, Watanabe F, Kamei M. Factors associated with medication non-adherence among patients with lifestyle-related non-communicable diseases. Pharmacy (Basel). 2021 Apr 22;9(2):90. doi:10.3390/pharmacy9020090. PMID: 33922240; PMCID: PMC8167756.
20. Li MC. Better adherence to the Taiwan Daily Food Guide is associated with a reduced risk of osteoporosis: A population-based study in Taiwan. Risk Manag Healthc Policy. 2022 Nov 2;15:2023–30. doi:10.2147/RMHP.S387506. PMID: 36348758; PMCID: PMC9637361.
21. Kim KH, Han JY. Fact sheet on cardiac rehabilitation for cardiovascular disease in South Korea. Ann Rehabil Med. 2023 Oct 31;47(5):318–25. doi:10.5535/arm.23050. PMID: 37907223; PMCID: PMC10620486.
22. Elendu C, Amaechi DC, Elendu TC, Jingwa KA, Okoye OK, Fiemotonghan B, Chirinos GA, Agada D, Okah MJ, Adebayo OD, Dang K, Egbunu E, Alabi OS, Nasre VS, Yadav CP, Badru MD. Relationship between stress and coronary artery disease: A comprehensive review. Medicine (Baltimore). 2023 Feb 2;103(5):e37066. doi:10.1097/MD.0000000000037066. PMID: 38306543; PMCID: PMC10843306.
23. Tamminga SJ, Emal LM, Boschman JS, Levasseur A, Thota A, Ruotsalainen JH, Schelvis RMC, Nieuwenhuijsen K, van der Molen HF. Individual-level interventions for reducing occupational stress in healthcare workers. Cochrane Database Syst Rev. 2023 May 12;5(5):CD002892. doi:10.1002/14651858.CD002892.pub6. PMID: 37169364; PMCID: PMC10175042.
24. Chase J-A, Bogener JL, Ruppar TM, Conn VS. The effectiveness of medication adherence interventions among patients with coronary artery disease: A meta-analysis. J Cardiovasc Nurs. 2015 Apr; Publish Ahead of Print(4):1. doi:10.1097/JCN.0000000000000259.
25. Ihm SH, Kim KI, Lee KJ, Won JW, Na JO, Rha SW, Kim HL, Kim SH, Shin J. Interventions for adherence improvement in the primary prevention of cardiovascular diseases: Expert consensus statement. Korean Circ J. 2021 Nov 26;52(1):1–33. doi:10.4070/kcj.2021.0226. PMID: 34989192; PMCID: PMC8738714.