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Ma R, Qiao M, Zhou Y, Sun W, Lv Y, Zhou X, Wang Y, Wu X, Yu R. The Relationship Between Knowledge, Psychological Flexibility, Anxiety and Healthy Behaviour in Stroke Patients: A Chain Mediation Model. J Clin Nurs 2025. [PMID: 40329557 DOI: 10.1111/jocn.17820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2025] [Revised: 04/15/2025] [Accepted: 04/23/2025] [Indexed: 05/08/2025]
Abstract
AIMS To explore the mediating effects of psychological flexibility and anxiety between knowledge and health behaviour in stroke patients, and to provide a reference for improving the health behaviour of stroke patients. DESIGN A cross-sectional study. METHODS A convenience sampling method was used to recruit 219 stroke patients from a tertiary hospital in China from July to November 2024. Patients were surveyed using an electronic questionnaire containing demographic questions and validated scales for stroke knowledge, psychological flexibility, anxiety and health behaviour. IBM SPSS v26.0 software and PROCESS Process macro were used for data analysis. RESULTS The health behaviour score of stroke patients was 54.2 ± 3.8, and health behaviour was positively correlated with stroke knowledge and negatively correlated with psychological flexibility and anxiety. There was a significant chain-mediated effect of psychological flexibility and anxiety in the relationship between stroke knowledge and health behaviour. CONCLUSION Stroke knowledge not only directly predicts health behaviour in stroke patients, but also indirectly influences the health behaviour of patients through the chain mediation of psychological flexibility and anxiety. RELEVANCE TO CLINICAL PRACTICE This study highlights the importance of caregivers focusing on the interactions between patient knowledge, psychological flexibility, anxiety and health behaviour when caring for stroke patients. Comprehensive interventions aimed at enhancing stroke patients' knowledge, improving patients' psychological flexibility and reducing anxiety have the potential to improve patient health behaviour. PATIENT OR PUBLIC CONTRIBUTION Patients completed questionnaires. REPORTING METHOD The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was applied to report the results.
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Affiliation(s)
- Ruili Ma
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Mengting Qiao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yating Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wenjia Sun
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yanyan Lv
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xu Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoyu Wu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ruili Yu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Ikeda Y, Yamamoto T, Torigoe M, Casaes Teixeira B, Laurent T. Prevalence, Patient Characteristics, and Treatment of Patients with Hypertrophic Cardiomyopathy: A Nationwide Payer Database Study. Cardiol Ther 2025; 14:71-86. [PMID: 39812940 PMCID: PMC11893927 DOI: 10.1007/s40119-024-00396-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Accepted: 12/18/2024] [Indexed: 01/16/2025] Open
Abstract
INTRODUCTION Data on the prevalence of hypertrophic cardiomyopathy (HCM), characteristics of patients with HCM, and treatment patterns in Japan are limited. This study aimed to estimate the prevalence of HCM and describe the patient characteristics, treatment patterns, and utilization of medical expense subsidies in Japan, using payer claims data from insurers. METHODS This retrospective study of patients with HCM in Japan utilized payer claims data from insurers (Advanced Elderly Medical Service System [AEMSS], Kokuho, and Kempo) from January 1, 2017, to December 31, 2021. The prevalence of HCM was calculated annually; while medication use, comorbidities, and usage of medical expense subsidies were described for 2021 as representative data. RESULTS The estimated prevalence of HCM increased from 9.3/10,000 people in 2017 to 11.1/10,000 people in 2021. In 2021, the highest prevalence was observed in patients aged 85-89 years (39.0/10,000 people). For patients with HCM, mean (standard deviation) age was 82.5 (5.5) years (AEMSS), 66.7 (9.2) years (Kokuho), and 53.4 (14.0) years (Kempo). Hypertension was the most common comorbidity (AEMSS, 90.7%; Kokuho, 85.7%; Kempo, 71.4%), followed by heart failure (AEMSS, 77.3%; Kokuho, 64.4%; Kempo, 56.9%). Mental health disorders were reported in 22.4% (AEMSS), 16.3% (Kokuho), and 11.3% (Kempo) of patients with HCM. Beta-blockers were the most frequently prescribed medications (AEMSS, 65.1%; Kokuho, 63.2%; Kempo, 56.6%). A small proportion of patients whose HCM was diagnosed in 2021 received medical expense subsidies (AEMSS, 2.6%; Kokuho, 4.6%). CONCLUSIONS This study is the first to evaluate the prevalence of HCM in Japan using data from the general population as the denominator. It indicated that patients with HCM are typically > 50 years old, have a high prevalence of comorbidities, are commonly treated with beta-blockers, and rarely receive medical expense subsidies for designated intractable diseases. About one-fifth of the patients had mental health disorders.
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Stanca A, Carella MC, Basile P, Forleo C, Ciccone MM, Guaricci AI. Cardiomyopathies and Psychiatric Disorders: An Overview and General Clinical Recommendations. Cardiol Rev 2024:00045415-990000000-00245. [PMID: 38602404 DOI: 10.1097/crd.0000000000000693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
The association between cardiomyopathies (CMPs) and psychiatric disorders is a complex and bidirectional phenomenon that involves multiple mechanisms and factors. CMPs may raise the risk of psychiatric disorders due to the psychological stress, physical limitations, social isolation, or poor prognosis associated with the underlying disease. Psychiatric disorders, on the other hand, can increase the possibility of developing or worsening CMPs due to the behavioral, neuroendocrine, inflammatory, or pharmacological effects of mental illness or its treatment. Moreover, some common genetic or environmental factors may have a relevant influence on both conditions. With this comprehensive review, we sought to provide an overview of the current evidence on the strict and intriguing interconnection between CMPs and psychiatric disorders, focusing on the epidemiology, pathophysiology, clinical implications, and management strategies.
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Affiliation(s)
- Alessandro Stanca
- From the University Cardiology Unit, Interdisciplinary Department of Medicine (DIM), "Aldo Moro" University School of Medicine, AOUC Polyclinic of Bari, Bari, Italy
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Li Y, Cen J, Wu J, Tang M, Guo J, Hang J, Zhao Q, Zhao G, Huang X, Han B. The Degree of Anxiety and Depression in Patients With Cardiovascular Diseases as Assessed Using a Mobile App: Cross-Sectional Study. J Med Internet Res 2023; 25:e48750. [PMID: 37792455 PMCID: PMC10585437 DOI: 10.2196/48750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/12/2023] [Accepted: 09/07/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Depression and anxiety are common comorbidities in cardiovascular clinic outpatients. Timely identification and intervention of these mental and psychological disorders can contribute to correct diagnosis, better prognosis, less medical expenses, and improved quality of life. The convenience of online doctor-patient communication platforms has increasingly attracted patients to online consultations. However, online health care and offline health care are very different. Research on how to identify psychological disorders in patients who engage in an online cardiology consultation is lacking. OBJECTIVE This study aimed to explore the feasibility of using a self-rating scale to assess mental illness among patients who consult with a cardiologist online and to compare the differences in anxiety and depression between online and offline patients. METHODS From June 2022 to July 2022, we conducted follow-up visits with 10,173 patients on the Haodf platform. We conducted detailed consultations with 286 patients who visited the same cardiologist in the outpatient department. We used the self-rated Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) scales to assess anxiety and depression, respectively. We analyzed the influencing factors related to the degree of coordination of online patients. We also compared the prevalence of anxiety or depression between online and offline patients and analyzed the factors related to anxiety or depression. RESULTS Of the 10,173 online consultation patients, only 186 (1.8%) responded effectively. The response rate of the offline consultation patients was 96.5% (276/286). Frequent online communication and watching live video broadcasts were significantly related to effective responses from online patients (P<.001). The prevalence of anxiety (70/160, 43.7% vs 69/266, 25.8%; P<.001) or depression (78/160, 48.7% vs 74/266, 27.7%; P<.001) in online consultation patients was significantly higher than that in offline patients. In bivariate analyses, the factors related to anxiety included female sex, unemployment, no confirmed cardiovascular disease, and the online consultation mode, while smokers and those who underwent COVID-19 quarantine were less likely to present with anxiety. The factors related to depression included female sex, divorced or separated individuals, and the online consultation mode. COVID-19 quarantine was related with a lower likelihood of depression. BMI was negatively correlated with depression. In multiple ordered logistic regression analysis, women were more likely than men to present with anxiety (odds ratio [OR] 2.181, 95% CI 1.365-3.486; P=.001). Women (OR 1.664, 95% CI 1.082-2.559; P=.02) and online patients (OR 2.631, 95% CI 1.305-5.304; P=.007) were more likely to have depression. CONCLUSIONS Online patients had more anxiety or depression than offline patients. Anxiety was more prevalent in women, the unemployed, and those without confirmed cardiovascular disease. Women and divorced or separated individuals were more prone to depression. Increasing the frequency of doctor-patient communication and participating in video interactions can help improve patient cooperation.
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Affiliation(s)
- Yongguang Li
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Center for Hospital Operation Research, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Jue Cen
- Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junxia Wu
- Department of Comprehensive Statistics, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Min Tang
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyi Guo
- Department of Clinical Research Center, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingyu Hang
- Department of Cardiology, Shanghai United Family Hospital, Shanghai, China
| | - Qing Zhao
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Zhao
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoli Huang
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Beibei Han
- Department of Cardiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Park JB, Yun JY, Kim B, Rhee TM, Lee HJ, Lee H, Hwang IC, Yoon YE, Park HE, Lee SP, Choi SY, Kim YJ, Cho GY, Han K, Kim HK. Risk of incident mental disorders in hypertrophic cardiomyopathy: a nationwide propensity-matched study. Eur J Prev Cardiol 2023; 30:85-94. [PMID: 36348515 DOI: 10.1093/eurjpc/zwac260] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/16/2022] [Accepted: 11/03/2022] [Indexed: 11/10/2022]
Abstract
AIMS We sought to determine the risk of mental disorders in patients with hypertrophic cardiomyopathy (HCM) compared with those without HCM. METHODS AND RESULTS This is a retrospective propensity score-matched cohort study using nationwide population-based data from the Korean National Health Insurance Service. Overall, 4046 patients with HCM and 12138 matched individuals were followed up until the first diagnosis of mental disorders or the end of the follow up. The primary outcome was a composite of incident mood, anxiety, stress-related, or somatoform disorders. Secondary outcomes included two components of the primary outcome (i.e. mood disorders and anxiety/stress-related/somatoform disorders). During a median follow-up period of 4.1 years, the incidence rate of the primary outcome was 54.4 and 31.5/1000 person-years among the HCM and control groups, respectively, resulting in a hazard ratio (HR) of 1.719 (95% confidence interval: 1.589-1.860). Within the first month after HCM diagnosis, the HR for the primary outcome was 3.074 (2.096-4.508). Beyond 1 month, the HRs decreased, ranging from 2.281 (1.952-2.665) during 1-12 months, to 2.087 (1.831-2.380) during 12-36 months and 1.258 (1.090-1.452) after 36 months of follow up. Similar results were observed for the secondary outcomes. In sensitivity analysis, the risk of the specific categories of mental disorders, including single or recurrent depressive episodes and anxiety disorders, was also higher in patients with HCM than matched controls. CONCLUSION HCM was significantly associated with the risk of incident mental disorders, particularly within 1 year after HCM diagnosis, underscoring the importance of screening mental health problems, including mood and anxiety disorders, in patients with HCM.
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Affiliation(s)
- Jun-Bean Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Je-Yeon Yun
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.,Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Bongsung Kim
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Tae-Min Rhee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Hyun-Jung Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Heesun Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - In-Chang Hwang
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Yeonyee E Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Hyo Eun Park
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung-Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Su-Yeon Choi
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Internal Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong-Jin Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
| | - Goo-Yeong Cho
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hyung-Kwan Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea.,Cardiovascular Center, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, 03080 Seoul, Republic of Korea
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