Integrating Community Care for the Prevention and Treatment of Diabetes.

Introduction: This paper describes 'Project 8', a campaign that aims to reduce glycated haemoglobin (HbA1c) to 8% or more among patients with diabetes mellitus, utilising healthcare professionals and local community residents and focusing on education and support. The study is based in Uonuma-a small rural city in Japan with a declining population and an increased number of older people. Description: 'Project 8' began in Uonuma's Koide Hospital in 2008. The Uonuma School for Community Health and Social Care was established in 2011 with the cooperation of a clinic's general practitioner. Medical students, trainees, doctors, and health care professionals have been holding 'open schools' (daytime lectures) and 'night schools' (evening lectures) to educate the community residents about various health issues. Through repeated lectures, the residents have been made aware of lifestyle-related diseases, including diabetes, and the meaning of 'Project 8'. Discussion: Over the last decade, the hospital's campaign has expanded within the community, showing a statistically significant reduction of diabetic patients with HbA1c ≥ 8%, which successfully deferred the start of dialysis for many of them. Conclusion: Well-integrated community care requires interprofessional education, collaborative practice, and the participation of community residents in health education.

Cardiovascular risk factors are really linked in the metabolic syndrome: this phenomenon suggests clustering rather than coincidence.

BACKGROUND: The accumulation of cardiovascular risk factors can be seen in a single person but it needs to be determined if this occurs more frequently than might be explained by mere coincidence. METHODS: This study involved 119,412 adults: 41,819 males and 77,593 females, who were 40 years of age or older and who underwent an annual health examination. From the clinical and biochemical data, the actual prevalence of a combination of 3 or more factors: abnormal body mass index (> or =25.0), hypertension, high triglyceride (> or =150 mg/dl), low HDL cholesterol (<40 mg/dl) and abnormal fasting glucose metabolism (fasting blood sugar > or =110 mg/dl or HbA1c. > or =5.5%) was determined. Then, the prevalence of a corresponding combination of 3-5 factors was predicted from the prevalence of each factor on the assumption that their combination occurs as a result of coincidence. RESULTS: The criteria of metabolic syndrome (> or =3 risk factors) was met in 17,842 (14.9%) of the examinees. The actual prevalence of any combination of 3-5 factors of metabolic syndrome was more frequent than those expected to occur by coincidence (P < 0.001). When compared with the prevalence of the total examinees, the prevalence of obesity and insulin resistance was 2.5 and 2.9 times higher in metabolic syndrome compared to that in the total examinees but it was 1.7 to 2.1 times higher in hypertension and high triglyceride. The former two were clustering more than hypertension or high triglyceride in metabolic syndrome. Abnormal levels of serum creatinine and total cholesterol were found more often in metabolic syndrome. CONCLUSION: Combinations of risk factors of metabolic syndrome were found more frequently than coincidental phenomenon in the subjects from the general population. These finding suggest that these risk factors do cluster and obesity and insulin resistance were suggested to be linked with metabolic syndrome more than hypertension or high triglyceride.