Ischemic heart disease (IHD) remains the most common cause of death while cerebrovascular disease (CVD) is the third most common in the Philippines. IHD and CVD represent complications resulting from prevalent non-communicable diseases (NCDs) and risk factors which present important opportunities for primary and secondary prevention.

This study aimed to pilot a sustainable multisectoral approach for community-based screening and management of cardiovascular (CV) risk factors and determine the effects of a multisectoral collaboration approach on the rate of screening, prevalence and control rates for selected risk factors.

This is a quality improvement project that determines the baseline prevalence and control rates of CV risk factors followed by intense screening efforts with support from private partnerships. The project's core components are: (a) capacity building (b) information dissemination; (c) service provision; and (d) health monitoring. Rates of screening, prevalence and control were monitored over a two-year period.

A total of 94,125 patients were screened through the ONE Cavite Project over two years (January 2021 to December 2022). A total of 61,271 were newly identified as having hypertension (65.1%), 24,069 diagnosed with diabetes mellitus type 2 (25.6%), 29,257 diagnosed to have dyslipidemia (31.1%) and 13,204 smokers (14.0%) were identified.

Intensification of screening was successful in improving identification of individuals with NCDs. The impact of continued educational support for both providers and patients in this study reaffirmed its role as a central component of NCD diagnosis, management and prevention.

Ischemic heart disease (IHD) remains the most common cause of death while cerebrovascular disease (CVD) is the third most common in the Philippines. IHD and CVD represent complications resulting from prevalent non-communicable diseases (NCDs) and risk factors which present important opportunities for primary and secondary prevention.

This study aimed to pilot a sustainable multisectoral approach for community-based screening and management of cardiovascular (CV) risk factors and determine the effects of a multisectoral collaboration approach on the rate of screening, prevalence and control rates for selected risk factors.

This is a quality improvement project that determines the baseline prevalence and control rates of CV risk factors followed by intense screening efforts with support from private partnerships. The project's core components are: (a) capacity building (b) information dissemination; (c) service provision; and (d) health monitoring. Rates of screening, prevalence and control were monitored over a two-year period.

A total of 94,125 patients were screened through the ONE Cavite Project over two years (January 2021 to December 2022). A total of 61,271 were newly identified as having hypertension (65.1%), 24,069 diagnosed with diabetes mellitus type 2 (25.6%), 29,257 diagnosed to have dyslipidemia (31.1%) and 13,204 smokers (14.0%) were identified.

Intensification of screening was successful in improving identification of individuals with NCDs. The impact of continued educational support for both providers and patients in this study reaffirmed its role as a central component of NCD diagnosis, management and prevention.

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*

Diabetes mellitus (DM) has become one of the most serious and common chronic diseases around the world, leading to various complications and a reduction in life expectancy. Increased sedentary behavior (SB) and decreased physical activity (PA) are important contributors to the rising prevalence of DM. This article reviews the research progress on the pathogenesis of DM, the effects of SB and PA on the risk of DM, aiming to explore the influence of different PA intensities, amounts, frequencies, durations and types on the incidence of DM. Research has shown that blood glucose levels tend to increase with the prolongation of SB. Within a certain range, PA intensity and amount are negatively correlated with the risk of DM; Performing PA for more than 3 days per week maintains normal glucose tolerance and lower blood pressure; Engaging in 150-300 min of moderate-intensity exercise or 75-150 min of high-intensity exercise per week reduces the risk of DM; PA during leisure time reduces the risk of DM, while PA during work increases the risk of DM; Both aerobic training and resistance training reduce the risk of DM, and the combination of the two training methods produces better benefits; Various types of exercises, such as cycling, soccer, aerobics, yoga and tai chi, all reduce the risk of DM. In summary, prolonged SB increases the risk of DM, while appropriate PA reduces the risk of DM. As the intensity, amount, and frequency of PA increase, the effect of reducing DM risk becomes more significant. Different exercise methods have different effects on reducing DM risk.
Humans ; Sedentary Behavior ; Exercise/physiology* ; Diabetes Mellitus/prevention & control*

Saliva is an important body fluid in the oral cavity containing lots of biomarkers, whose inherent micro-ecosystem holds significant value for early diagnosis and monitoring of oral diseases. Simultaneously, saliva has particular advantages, such as ease of sampling, painless and non-invasive collection, and suitability for repeated sampling, making it highly appropriate for surveillance and follow-up of diseases. In a series of studies conducted by the research group for preventive dentistry in Peking University School and Hospital of Stomatology, we compared different segments of saliva and those samples collected via different sampling methods using proteomic/peptidomic and microbiomic technologies to explore the stability of saliva samples. Besides, the significance of applying representative salivary biomarkers in early prevention and control of representative oral diseases (e.g. dental caries, periodontal diseases) and systemic conditions (e.g. type 2 diabetes mellitus, chronic kidney disease) was confirmed as well.
Humans ; Saliva/chemistry* ; Dental Caries/diagnosis* ; Biomarkers/analysis* ; Periodontal Diseases/diagnosis* ; Mouth Diseases/diagnosis* ; Proteomics/methods* ; Diabetes Mellitus, Type 2/diagnosis* ; Microbiota ; Renal Insufficiency, Chronic/prevention & control*

In China, the prevalence of diabetes has increased significantly, and rigorous challenges exist in diabetes prevention and glycemic control, especially in primary medical care. Under the guidance of the National Health Commission of the People's Republic of China and the Chinese Medical Association, the Office for Primary Diabetes Care of the National Basic Public Health Service Program issued the "National guidelines for the prevention and control of diabetes in primary care (2018)" in 2018. The present guideline, which incorporates the latest advances in diabetes research and practice from the 2018 and 2022 editions, aims to improve primary health facilities and provide standardized basic public health and medical services throughout China. It applies to healthcare providers who provide primary care to patients with type 2 diabetes aged 18 or older. It primarily includes basic management requirements; workflow of health management; diagnosis; classification; monitoring, screening, and assessment; treatment; identification and management of diabetic acute and chronic complications; traditional Chinese medicine; referral; health management; and health education.
Humans ; Primary Health Care ; China ; Diabetes Mellitus, Type 2/therapy* ; Diabetes Mellitus/prevention & control* ; Practice Guidelines as Topic

Diabetic kidney disease (DKD) is one of the major chronic complications of diabetes and is associated with a heavy disease burden. Since the release of the National Guidelines for the Prevention and Control of Diabetes in Primary Care (2018), there has been continuous improvement in the basic public health services and basic medical services of the primary care setting and an expansion of the scope of work. Therefore, more detailed technical guidelines for the prevention and management of diabetes and its complications in primary care are needed. This guide aims to promote the standardization of DKD prevention and control in primary care, to assist primary care physicians with the prevention and control of DKD, and to ensure the comprehensive management of patients with DKD. The contents include the basic requirements for the management, overview, screening, diagnosis and staging, treatment, follow-up, and referral of patients with DKD.
Humans ; Diabetes Mellitus, Type 2/complications* ; Diabetic Nephropathies/prevention & control* ; Primary Health Care

Humans ; Diabetes Mellitus/prevention & control* ; Global Health

Protection against severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) infection of inactivated vaccines is not well characterized in people with comorbidities, who are at high risk of severe infection. We compared the risk of SARS-CoV-2 infection after complete vaccination with Sinopharm/BBIBP in people with comorbidities (e.g., autoimmune diseases, cardiovascular disease, chronic lung disease, and diabetes) with healthy individuals using a Cox-proportional hazard model. In July-September 2021, a total of 10 548 people (comorbidities, 2143; healthy, 8405) receiving the complete primary series of vaccination with Sinopharm/BBIBP in Bangkok, Thailand were prospectively followed for SARS-CoV-2 infection through text messaging and telephone interviewing for 6 months. A total of 295 infections from 284 participants were found. HRs (95% CI) of individuals with any comorbidities did not increase (unadjusted, 1.02 (0.77-1.36), P = 0.89; adjusted, 1.04 (0.78-1.38), P = 0.81). HRs significantly increased in the subgroup of autoimmune diseases (unadjusted, 2.64 (1.09-6.38), P = 0.032; adjusted, 4.45 (1.83-10.83), P = 0.001) but not in cardiovascular disease, chronic lung disease, or diabetes. The protection against SARS-CoV-2 infection of the Sinopharm vaccine was similar in participants with any comorbidities vs. healthy individuals. However, the protection appeared lower in the subgroup of autoimmune diseases, which may reflect suboptimal immune responses among these people.
Humans ; COVID-19/prevention & control* ; Vaccines, Inactivated ; COVID-19 Vaccines ; SARS-CoV-2 ; Cardiovascular Diseases ; Prospective Studies ; Thailand ; Autoimmune Diseases ; Diabetes Mellitus/epidemiology*

OBJECTIVE: To explore the association between the use of metformin and the risk of ischemic stroke in patients with type 2 diabetes. METHODS: A prospective cohort study was designed from the Fangshan family cohort in Beijing. According to metformin use at baseline, 2 625 patients with type 2 diabetes in Fangshan, Beijing were divided into metformin group or non-metformin group and the incidence of ischemic stroke between the different groups during follow-up was estimated and compared by Cox proportional hazard regression model. The participants with metformin were first compared with all the parti-cipants who did not use metformin, and then were further compared with those who did not use hypoglycemic agents and those who used other hypoglycemic agents. RESULTS: The patients with type 2 diabetes were with an average age of (59.5±8.7) years, and 41.9% of them were male. The median follow-up time was 4.5 years. A total of 84 patients developed ischemic stroke during follow-up, with a crude incidence of 6.4 (95%CI: 5.0-7.7) per 1 000 person-years. Among all the participants, 1 149 (43.8%) took metformin, 1 476 (56.2%) were metformin non-users, including 593 (22.6%) used other hypoglycemic agents, and 883 (33.6%) did not use any hypoglycemic agents. Compared with metformin non-users, the Hazard ratio (HR) for ischemic stroke in metformin users was 0.58 (95%CI: 0.36-0.93; P = 0.024). Compared with other hypoglycemic agents, HR was 0.48 (95%CI: 0.28-0.84; P < 0.01); Compared with the group without hypoglycemic agents, HR was 0.65 (95%CI: 0.37-1.13; P=0.13). The association between metformin and ischemic stroke was statistically significant in the patients ≥ 60 years old compared with all the metformin non-users and those who used other hypoglycemic agents (HR: 0.48, 95%CI: 0.25-0.92; P < 0.05). Metformin use was associated with a lower incidence of ischemic stroke in the patients with good glycemic control (0.32, 95%CI: 0.13-0.77; P < 0.05). In the patients with poor glycemic control, and the association was not statistically significant (HR: 0.97, 95%CI: 0.53-1.79; P>0.05). There was an interaction between glycemic control and metformin use on incidence of ischemic stroke (P_interaction < 0.05). The results of the sensitivity analysis were consistent with the results in the main analysis. CONCLUSION Among patients with type 2 diabetic in rural areas of northern China, metformin use was associated with lower incidence of ischemic stroke, especially in patients older than 60 years. There was an interaction between glycemic control and metformin use in the incidence of ischemic stroke.
Humans ; Male ; Middle Aged ; Aged ; Female ; Metformin/adverse effects* ; Diabetes Mellitus, Type 2/drug therapy* ; Cohort Studies ; Ischemic Stroke/complications* ; Prospective Studies ; Hypoglycemic Agents/adverse effects* ; Stroke/prevention & control* ; Retrospective Studies