Subclinical atherosclerosis underlies most cardiovascular diseases, manifesting before clinical symptoms and representing a key focus for early prevention strategies. Recent advancements highlight the importance of early detection and management of subclinical atherosclerosis. This review underscores that traditional risk factor levels considered safe, such as low-density lipoprotein cholesterol (LDL-C) and glycated haemoglobin (HbA1c), may still permit the development of atherosclerosis, suggesting a need for stricter thresholds. Early-life interventions are crucial, leveraging the brain's neuroplasticity to establish lifelong healthy habits. Preventive strategies should include more aggressive management of LDL-C and HbA1c from youth and persist into old age, supported by public health policies that promote healthy environments. Emphasising early education on cardiovascular health can fundamentally shift the trajectory of cardiovascular disease prevention and optimise long-term health outcomes.
Humans ; Atherosclerosis/diagnosis* ; Risk Factors ; Cardiovascular Diseases/prevention & control* ; Cholesterol, LDL/blood* ; Glycated Hemoglobin ; Cardiology/trends* ; Heart Disease Risk Factors

This review examines strategies for the prevention and management of obesity, hypertension, type 2 diabetes mellitus and dyslipidaemia, conditions that are increasing in Singapore, as components of individualised health plans in 'Healthier SG' and beyond. We describe cardiometabolic disease prevention and management initiatives in Changi General Hospital (CGH), including collaborations with SingHealth Polyclinics, Active SG, Exercise is Medicine Singapore and community partners in the Eastern Community Health Outreach programme, and highlight advances in curable hypertension (e.g., primary hyperaldosteronism) and novel cardiovascular risk markers such as lipoprotein(a). We also outline technology-based interventions, notably the CGH Health Management Unit, which demonstrate the utility and convenience of telemedicine, and digital therapeutics in the form of apps that have been shown to improve treatment adherence and clinical outcomes. Individual empowerment, in partnership with community and healthcare providers and supported by research and innovation of care delivery, is key to building a healthier and stronger nation.
Humans ; Singapore ; Diabetes Mellitus, Type 2/therapy* ; Hypertension/therapy* ; Obesity/therapy* ; Dyslipidemias/therapy* ; Telemedicine ; Cardiovascular Diseases/prevention & control* ; Exercise ; Metabolic Diseases/prevention & control*

Cardiovascular disease (CVD) poses a serious threat to human health. Exercise plays an important role in both the prevention and treatment of CVD and is one of the key non-pharmacological interventions. Exercise can regulate the level of exerkine secreted by different tissue cells, directly affect the cardiovascular system or play a role in cardiovascular protection by improving cardiovascular risk factors. Exerkine such as meteorin-like protein (Metrnl), brain-derived neurotrophic factor (BDNF), fibroblast growth factor 21 (FGF21), and exosomal microRNA (miRNA) play an important role in regulating vascular and cardiac diseases such as atherosclerosis, heart failure, cardiac ischemia-reperfusion and myocardial infarction, as well as their risk factors. Exploring the signaling pathways and mechanisms by which Metrnl, BDNF, FGF21, and exosomal miRNAs exert cardiovascular protective effects can provide novel insights into exercise-based strategies for preventing and treating cardiovascular diseases.
Humans ; Cardiovascular Diseases/prevention & control* ; Exercise/physiology* ; Fibroblast Growth Factors/physiology* ; MicroRNAs/metabolism* ; Brain-Derived Neurotrophic Factor/physiology* ; Cardiovascular System/physiopathology* ; Exosomes/metabolism* ; Signal Transduction

The influenza virus is classified as a single-stranded negative-sense RNA virus in Orthomyxoviridae family, with epidemiological properties distinct from common cold. Previous studies have found that influenza infection can cause cardiac damage through various pathways, and patients with cardiovascular diseases are at relatively higher risk of adverse disease outcomes. Influenza vaccination has been proven to provide protective effect on patients with cardiovascular diseases. Currently, there is insufficient emphasis placed by cardiologists and cardiovascular disease patients on the prevention of influenza infection, leading to a low influenza vaccination rate in China. Therefore, based on the current clinical research progress and relevant guidelines, combined with the safety, feasibility and health economic benefits of influenza vaccinating in patients with cardiovascular diseases, as well as clinical experience from experts, this article proposes expert opinions on influenza vaccination in common cardiovascular diseases aiming to raise awareness of influenza prevention and benefiting patients.
Humans ; Cardiovascular Diseases/prevention & control* ; Influenza Vaccines/administration & dosage* ; Influenza, Human/prevention & control* ; Vaccination ; Expert Testimony

Cardiovascular diseases (CVD) and their risk factors are exerting an increasingly significant impact on public health, and the incidence rate of CVD continues to rise. This article provides an interpretation of essentials from the newly published Annual Report on Cardiovascular Health and Diseases in China (2024), aiming to offer scientific evidence for CVD prevention, treatment, and the formulation of relevant policies.
China/epidemiology* ; Cardiovascular Diseases/prevention & control* ; Humans ; Risk Factors ; Incidence

Humans ; Cardiovascular Diseases/prevention & control* ; China ; Technology

Humans ; Cardiovascular Diseases/prevention & control* ; China ; Technology

Cardiovascular risk assessment is a basic tenet of the prevention of cardiovascular disease. Conventional risk assessment models require measurements of blood pressure, blood lipids, and other health-related information prior to assessment of risk via regression models. Compared with traditional approaches, fundus photograph-based cardiovascular risk assessment using artificial intelligence (AI) technology is novel, and has the advantages of immediacy, non-invasiveness, easy performance, and low cost. The Health Risk Assessment and Control Committee of the Chinese Preventive Medicine Association, in collaboration with the Chinese Society of Cardiology and the Society of Health Examination, invited multi-disciplinary experts to form a panel to develop the present consensus, which includes relevant theories, progress in research, and requirements for AI model development, as well as applicable scenarios, applicable subjects, assessment processes, and other issues associated with applying AI technology to assess cardiovascular risk based on fundus photographs. A consensus was reached after multiple careful discussions on the relevant research, and the needs of the health management industry in China and abroad, in order to guide the development and promotion of this new technology.
Humans ; Cardiovascular Diseases/prevention & control* ; Artificial Intelligence ; Consensus ; Risk Factors ; Heart Disease Risk Factors

To explore the effect of Internet+diet self-management intervention technology on the blood pressure control of hypertension high-risk population through the intervention of hypertension high-risk population in Haikou City community, so as to provide scientific evidence for the prevention and treatment of cardiovascular diseases (CVD). The multi-stage cluster sampling method was used, and 295 hypertension high-risk participants were recruited from 15 communities in Haikou City from July to December 2021. The 15 communities were randomly divided into three groups: blank group, traditional group and Internet plus group by random number table method. The blank group referred to the group (99 participants) that did not take special intervention measures but the routine interventions in accordance with the "National Basic Public Health Service Standards (the Third Edition) Health Education Service Standards". On the basis of the blank group, the traditional group (95 participants) was intervened by giving additional traditional methods such as holding lectures and distributing popular science books. The Internet plus group (101 participants) was given additional Internet measures on the basis of the intervention of the traditional group. After 6 months, questionnaires, laboratory biochemical tests, and physical measurements were conducted. SPSS 25.0 software was applied for data analysis. Measurement data that followed normal distribution were statistically described by using mean±standard deviation, analysis of variance was used for inter group comparisons before intervention, analysis of covariance was used for inter group comparisons after intervention, and Bonferroni adjustment was used for pairwise comparisons between groups. Measurement data that did not follow the Normal distribution were represented by M (Q₁, Q₃). The rank sum test was used for inter group comparison. The k sample Kruskal Wallis single factor ANOVA was used to compare the distribution between different groups. Counting data were described by composition ratio or rate. Under the premise of balanced comparison between groups before intervention, Chi-squared test was used for inter group comparison after intervention, and Bonferroni adjustment method was used for pairwise comparison between groups. The results showed that a total of 295 participants were included, with males accounting for 35.6% (105) and females accounting for 64.4% (190). The age ranged from 55 to 74 years old, with an average age of (64.69±5.73) years. The number of married accounted for 95.6% (282 participants). There were no statistically significant differences in gender, age, family history, education level, occupation, marital status, drinking habits, regular exercise, dietary status, SBP (systolic blood pressure), DBP (diastolic blood pressure), pulse pressure difference, BMI (body mass index), folic acid, and 24-hour urine sodium among the three groups upon enrollment (P values>0.05). After the intervention, the drinking rate was as follows: Internet plus group (29, 28.7%)2=28.948, P<0.001); Regular exercise rate was higher in the Internet plus group (37, 36.6%) than in the traditional group (18, 18.9%) and the blank group (16, 16.2%) (χ²=13.476, P=0.001). After the intervention, compared with the participants in the blank group, the intake of energy, carbohydrate, dietary fiber, sodium and folic acid in the Internet plus group were significantly different (all P<0.05); Compared with the participants in the traditional group, the energy, carbohydrate and dietary fiber intake of the participants in the Internet plus group were significantly different (all P<0.05). After the intervention, the blood pressure levels in the Internet plus group [ SBP: (128.95±6.55) mmHg, DBP: (79.88±5.75) mmHg ] and the traditional group [ SBP: (129.63±8.41) mmHg, DBP: (79.77±7.73) mmHg ] were lower than those in the blank group [ SBP: (132.93±8.41) mmHg, DBP: (82.42±7.76) mmHg ] (SBP: F=9.417, P<0.001; DBP: F=6.967, P=0.001), the 24-hour urinary sodium level in the Internet plus group (143.63±38.58) mmol/24 h was lower than that in the traditional group (163.31±35.67) mmol/24 h and the blank group (154.14±35.52) mmol/24 h (F=11.509, P<0.001). In conclusion, compared with the traditional intervention mode, the "Internet plus diet self-management intervention" mode is more likely to promote the development of a healthy lifestyle for people at high risk of hypertension, effectively improve blood pressure and 24-hour urine sodium level, and facilitate CVD prevention.
Male ; Female ; Humans ; Middle Aged ; Aged ; Blood Pressure ; Self-Management ; Hypertension/prevention & control* ; Cardiovascular Diseases/prevention & control* ; Diet ; Sodium ; Internet ; Folic Acid

To explore the effect of Internet+diet self-management intervention technology on the blood pressure control of hypertension high-risk population through the intervention of hypertension high-risk population in Haikou City community, so as to provide scientific evidence for the prevention and treatment of cardiovascular diseases (CVD). The multi-stage cluster sampling method was used, and 295 hypertension high-risk participants were recruited from 15 communities in Haikou City from July to December 2021. The 15 communities were randomly divided into three groups: blank group, traditional group and Internet plus group by random number table method. The blank group referred to the group (99 participants) that did not take special intervention measures but the routine interventions in accordance with the "National Basic Public Health Service Standards (the Third Edition) Health Education Service Standards". On the basis of the blank group, the traditional group (95 participants) was intervened by giving additional traditional methods such as holding lectures and distributing popular science books. The Internet plus group (101 participants) was given additional Internet measures on the basis of the intervention of the traditional group. After 6 months, questionnaires, laboratory biochemical tests, and physical measurements were conducted. SPSS 25.0 software was applied for data analysis. Measurement data that followed normal distribution were statistically described by using mean±standard deviation, analysis of variance was used for inter group comparisons before intervention, analysis of covariance was used for inter group comparisons after intervention, and Bonferroni adjustment was used for pairwise comparisons between groups. Measurement data that did not follow the Normal distribution were represented by M (Q₁, Q₃). The rank sum test was used for inter group comparison. The k sample Kruskal Wallis single factor ANOVA was used to compare the distribution between different groups. Counting data were described by composition ratio or rate. Under the premise of balanced comparison between groups before intervention, Chi-squared test was used for inter group comparison after intervention, and Bonferroni adjustment method was used for pairwise comparison between groups. The results showed that a total of 295 participants were included, with males accounting for 35.6% (105) and females accounting for 64.4% (190). The age ranged from 55 to 74 years old, with an average age of (64.69±5.73) years. The number of married accounted for 95.6% (282 participants). There were no statistically significant differences in gender, age, family history, education level, occupation, marital status, drinking habits, regular exercise, dietary status, SBP (systolic blood pressure), DBP (diastolic blood pressure), pulse pressure difference, BMI (body mass index), folic acid, and 24-hour urine sodium among the three groups upon enrollment (P values>0.05). After the intervention, the drinking rate was as follows: Internet plus group (29, 28.7%)2=28.948, P<0.001); Regular exercise rate was higher in the Internet plus group (37, 36.6%) than in the traditional group (18, 18.9%) and the blank group (16, 16.2%) (χ²=13.476, P=0.001). After the intervention, compared with the participants in the blank group, the intake of energy, carbohydrate, dietary fiber, sodium and folic acid in the Internet plus group were significantly different (all P<0.05); Compared with the participants in the traditional group, the energy, carbohydrate and dietary fiber intake of the participants in the Internet plus group were significantly different (all P<0.05). After the intervention, the blood pressure levels in the Internet plus group [ SBP: (128.95±6.55) mmHg, DBP: (79.88±5.75) mmHg ] and the traditional group [ SBP: (129.63±8.41) mmHg, DBP: (79.77±7.73) mmHg ] were lower than those in the blank group [ SBP: (132.93±8.41) mmHg, DBP: (82.42±7.76) mmHg ] (SBP: F=9.417, P<0.001; DBP: F=6.967, P=0.001), the 24-hour urinary sodium level in the Internet plus group (143.63±38.58) mmol/24 h was lower than that in the traditional group (163.31±35.67) mmol/24 h and the blank group (154.14±35.52) mmol/24 h (F=11.509, P<0.001). In conclusion, compared with the traditional intervention mode, the "Internet plus diet self-management intervention" mode is more likely to promote the development of a healthy lifestyle for people at high risk of hypertension, effectively improve blood pressure and 24-hour urine sodium level, and facilitate CVD prevention.
Male ; Female ; Humans ; Middle Aged ; Aged ; Blood Pressure ; Self-Management ; Hypertension/prevention & control* ; Cardiovascular Diseases/prevention & control* ; Diet ; Sodium ; Internet ; Folic Acid