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Zhang J, Nie X, Yang X, Mei Q, Xiang X, Cheng L. A meta-analysis of effectiveness of mobile health interventions on health-related outcomes in patients with heart failure. J Cardiovasc Med (Hagerstown) 2024; 25:587-600. [PMID: 38949146 DOI: 10.2459/jcm.0000000000001631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
AIMS To systematically evaluate the effectiveness of mobile health (mHealth) interventions on medication adherence in patients with heart failure. METHODS The literature search was conducted in PubMed, Web of Science, the Cochrane Library databases, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Database and China Scientific Journal Database (VIP). The retrieval period was from the establishment of the database to May 2023. The included studies were trials to explore the effectiveness of mHealth interventions on medication adherence in patients with heart failure. Cochrane collaboration's tool was used for assessing risk of bias in randomized controlled trials. Stata 17.0 software was used to conduct data analysis. Continuous data were expressed as standard mean differences, and dichotomous data were expressed as relative risks with 95% confidence intervals (CIs). RESULTS A total of 13 studies and 2534 participants were included. One study was rated as Grade A, and the other 12 studies were Grade B. The results of meta-analysis indicate that mHealth interventions are effective in improving medication adherence [relative risk (RR) = 1.26, 95% CI 1.10-1.44, P < 0.05 and standard mean difference = 0.80, 95% CI 0.44-1.15, P < 0.05], and reducing readmission rates (RR = 0.63, 95% CI 0.53-0.76, P < 0.05) and mortality (RR = 0.63, 95% CI 0.43-0.94, P < 0.05) of patients with heart failure. CONCLUSION mHealth interventions are beneficial to improve medication adherence in patients with heart failure, and could effectively reduce the readmission rates and mortality of patients in the studies. There is a need to continuously improve the professional abilities of intervention personnel, carry out teamwork, and extend intervention and follow-up time. Convenient, fast and low-cost mobile medical devices should be adopted to reduce the cost of medical treatment. Scientific and reasonable intervention content will be formulated according to evidence-based guidelines and theoretical basis to enhance patients' ability at self-management and understanding of heart failure knowledge.
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Affiliation(s)
- Jingwen Zhang
- School of Nursing, Hubei University of Medicine, Shiyan, China
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Wu J, Feng Y, Zhao Y, Guo Z, Liu R, Zeng X, Yang F, Liu B, Gu J, Tarimo CS, Shao W, Guo X, Li Q, Zhao L, Ma M, Shen Z, Zhao Q, Miao Y. Lifestyle behaviors and risk of cardiovascular disease and prognosis among individuals with cardiovascular disease: a systematic review and meta-analysis of 71 prospective cohort studies. Int J Behav Nutr Phys Act 2024; 21:42. [PMID: 38650004 PMCID: PMC11036700 DOI: 10.1186/s12966-024-01586-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/20/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Healthy lifestyle behaviors (LBs) have been widely recommended for the prevention and management of cardiovascular disease (CVD). Despite a large number of studies exploring the association between combined LBs and CVD, a notable gap exists in integration of relevant literatures. We conducted a systematic review and meta-analysis of prospective cohort studies to analyze the correlation between combined LBs and the occurrence of CVD, as well as to estimate the risk of various health complications in individuals already diagnosed with CVD. METHODS Articles published up to February 10, 2023 were sourced through PubMed, EMBASE and Web of Science. Eligible prospective cohort studies that reported the relations of combined LBs with pre-determined outcomes were included. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using either a fixed or random-effects model. Subgroup analysis, meta-regression, publication bias, and sensitivity analysis were as well performed. RESULTS In the general population, individuals with the healthiest combination of LBs exhibited a significant risk reduction of 58% for CVD and 55% for CVD mortality. For individuals diagnosed with CVD, adherence to the healthiest combination of LBs corresponded to a significant risk reduction of 62% for CVD recurrence and 67% for all-cause mortality, when compared to those with the least-healthy combination of LBs. In the analysis of dose-response relationship, for each increment of 1 healthy LB, there was a corresponding decrease in risk of 17% for CVD and 19% for CVD mortality within the general population. Similarly, among individuals diagnosed with CVD, each additional healthy LB was associated with a risk reduction of 27% for CVD recurrence and 27% for all-cause mortality. CONCLUSIONS Adopting healthy LBs is associated with substantial risk reduction in CVD, CVD mortality, and adverse outcomes among individuals diagnosed with CVD. Rather than focusing solely on individual healthy LB, it is advisable to advocate for the adoption of multiple LBs for the prevention and management of CVD. TRIAL REGISTRATION PROSPERO: CRD42023431731.
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Affiliation(s)
- Jian Wu
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuanyuan Zhao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Zhiping Guo
- Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Rongmei Liu
- Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xin Zeng
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Fan Yang
- School of Public Health, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, People's Republic of China
| | - Bei Liu
- Department of Laboratorial Science and Technology & Vaccine Research Center, School of Public Health, Peking University, Beijing, People's Republic of China
| | - Jianqing Gu
- Healthy Lifestyle Medicine Research Center, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, People's Republic of China
| | - Clifford Silver Tarimo
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
- Department of Science and Laboratory Technology, Dar es Salaam Institute of Technology, P.O. Box 2958, Dar es Salaam, Tanzania
| | - Weihao Shao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xinghong Guo
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Quanman Li
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lipei Zhao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Mingze Ma
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Zhanlei Shen
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qiuping Zhao
- Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Yudong Miao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Feng J, Zhang Y, Zhang J. Epidemiology and Burden of Heart Failure in Asia. JACC. ASIA 2024; 4:249-264. [PMID: 38660101 PMCID: PMC11035951 DOI: 10.1016/j.jacasi.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/12/2024] [Accepted: 01/23/2024] [Indexed: 04/26/2024]
Abstract
Heart failure (HF) represents a complex clinical syndrome affecting multiple organs and systems of the body, which is a global public health concern because of its high prevalence, mortality, and medical cost. Asia, with its vast population, diverse ethnicities, and complex health care systems, faces challenges in the prevention and management of HF. However, unlike in Western nations, data on HF epidemiology is still limited in Asia. In this review, we will summarize available information regarding the burden of HF in Asia from the aspects of occurrence, etiology and risk factors, outcome, and management of HF, to provide insights for reducing the burden of HF and improving the prognosis of patients with HF.
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Affiliation(s)
- Jiayu Feng
- State Key Laboratory of Cardiovascular Disease, Heart Failure Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuhui Zhang
- State Key Laboratory of Cardiovascular Disease, Heart Failure Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Zhang
- State Key Laboratory of Cardiovascular Disease, Heart Failure Center, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Clinical Research for Cardiovascular Medications, National Health Committee, Beijing, China
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Wang Y, Sun M, Yao N, Qu S, Guo R, Wang X, Li J, Xie Z, Liu Y, Wu Z, Wang F, Li B. Ideal cardiovascular health metrics have better identification of arthritis. BMC Public Health 2024; 24:114. [PMID: 38191356 PMCID: PMC10775435 DOI: 10.1186/s12889-023-17602-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 12/27/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND This study aimed to explore the association between ideal cardiovascular health metrics (ICVHM) and arthritis (AR), as well as the interactions of various indicators in ICVHM on AR in US adults. METHODS We involved 17,041 participants who were interviewed by NHANES from 2011 to 2018. AR included osteoarthritis or degenerative arthritis (OA), rheumatoid arthritis (RA), and psoriatic arthritis and other arthritis (Other AR). Logistic regression was applied to analyze the association between AR and ICVHM. Mixed graphical model (MGM) was used to explore the interaction between variables in ICVHM. RESULTS Higher ICVHM scores had a protective effect on AR. Compared to "≤1" score, the ORs of AR in participants with 2, 3, 4, and ≥5 were 0.586, 0.472, 0.259, and 0.130, respectively. Similar results were also found in different types of AR. ICVHM has a maximum area under the curve value of 0.765 and the interaction between blood pressure and total cholesterol was 0.43. CONCLUSIONS ICVHM correlates significantly with AR and is better at identifying AR than individual indicators. ICVHM can be better improved by controlling the indicators with stronger interactions. Our findings provide guidance for promoting health factors, which have important implications for identification and prevention of AR.
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Affiliation(s)
- Yuxiang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Mengzi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Nan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Shifang Qu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Ruirui Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Xuhan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Zechun Xie
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Zibo Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Fengdan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China
| | - Bo Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China.
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Qiu W, Cai A, Li L, Feng Y. Lagging behind the Western countries: the knowledge gaps of gender differences in heart failure in Asia. ESC Heart Fail 2023; 10:2797-2806. [PMID: 37652064 PMCID: PMC10567648 DOI: 10.1002/ehf2.14501] [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: 02/27/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 09/02/2023] Open
Abstract
Gender differences in heart failure (HF), ranging from epidemiological and pathophysiological factors to therapeutic response and prognosis, have been well documented in Western countries, especially in Europe and North America. The above gender differences in HF found in Westerners are rarely investigated in Asians. In this review, we explore the worrying knowledge gap on the gender differences in HF that existed in Asia in contrast with Western populations based on the following four aspects: epidemiology, risk factors, therapy, and prognosis. Finally, we conclude that investigations of gender differences in HF in Asia lag behind those in Europe and North America. Future work is required to establish and better use the high-level, population-based cohorts and develop our own high-quality, convincing clinical trials to deliver robust gender-specific conclusions in Asia.
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Affiliation(s)
- Weida Qiu
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular InstituteGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical UniversityNo. 106, Zhongshan 2nd Road, Yuexiu DistrictGuangzhou510080China
- The Second School of Clinical MedicineSouthern Medical UniversityGuangzhouChina
| | - Anping Cai
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular InstituteGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical UniversityNo. 106, Zhongshan 2nd Road, Yuexiu DistrictGuangzhou510080China
| | - Liwen Li
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular InstituteGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical UniversityNo. 106, Zhongshan 2nd Road, Yuexiu DistrictGuangzhou510080China
- The Second School of Clinical MedicineSouthern Medical UniversityGuangzhouChina
| | - Yingqing Feng
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular InstituteGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical UniversityNo. 106, Zhongshan 2nd Road, Yuexiu DistrictGuangzhou510080China
- The Second School of Clinical MedicineSouthern Medical UniversityGuangzhouChina
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Lin Y, Huang Y, Xi X. Association between lifestyle behaviors and health-related quality of life among primary health care physicians in China: A cross-sectional study. Front Public Health 2023; 11:1131031. [PMID: 36969630 PMCID: PMC10030863 DOI: 10.3389/fpubh.2023.1131031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundPrimary health care (PHC) serves as the gatekeeper of health system and PHC physicians take on significant obligations to provide health care services in the pursuit of Universal Health Coverage (UHC). PHC physicians' health-related quality of life (HRQoL) can have a strong impact on patients, physicians and the health care system. Lifestyle interventions are found to be effective to improve HRQoL. The purpose of this study was to evaluate the association between lifestyle behaviors and HRQoL among PHC physicians, so that lifestyle intervention can be tailored by policy makers for health promotion.MethodsA survey covering 31 provinces and administrative regions in China was conducted in 2020 using a stratified sampling strategy. Data on sociodemographic characteristics lifestyle behaviors and HRQoL were collected by a self-administered questionnaire. HRQoL was measured through EuroQol-five dimension-five level (EQ-5D-5L) instrument. A Tobit regression model was performed to evaluate the association between sociodemographic characteristics, lifestyle behaviors and HRQoL.ResultsAmong 894 PHC physicians who completed the survey, Anxiety/Depression (AD) was the dimension with the most problems reported (18.1%). Regular daily routine (β = 0.025, 95%CI 0.004 to 0.045) and good sleep quality (β = 0.049, 95% CI = 0.029 to 0.069) were protective factors for HRQoL, while smoking (β = −0.027, 95% CI = −0.079 to −0.003) and frequency of eating breakfast (β = −0.041, 95%CI = −0.079 to −0.003) were negatively associated with HRQoL. Physical activity and alcohol drinking were not significantly associated with HRQoL.ConclusionThese findings suggest that tailored interventions on daily routine, improving sleep quality, and tobacco control among PHC physicians may be effective strategies to improve their HRQoL.
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