[Socio-demographic and clinical characteristics of a patient population with diabetes mellitus]

Autor: M J, Sender Palacios, M, Vernet Vernet, P, Larrosa Sáez, E, Tor Figueras, M, Foz Sala
Rok vydání: 2002
Předmět:
Zdroj: Aten Primaria
ISSN: 0212-6567
Popis: OBJECTIVES: To describe sociodemographic and clinical characteristics of a diabetic population. To relate sociodemographic and clinicalevolutionaries variables. DESIGN: Descriptive transversal study. SETTING: Three urban Primary Health Centers (PHC). Participants. Diabetic patients attended in these PHC. MEASUREMENTS: Variables: sociodemographic and clinical through an individualized survey and a medical record review. RESULTS: 1495 patients were studied from whom 96% were diabetic type 2. Age: 66 years old (SD ± 12). Sex: 56% were women. Education level: 62 didn’t have finished their primary studies. Family: 71% live together with a partner. Years of evolution: Diabetes (DM) < 10 years: 47% in type 1; 64% in type 2. Risk factors: DM 1: smokers 40%; hypertension (HTA) 7%; DM 2: smokers 12%; HTA 51%; obesity 26%; hypercholesterolemia 28%; hypertriglyceridemia 17%. Chronic complications: DM 1: retinopathy (DR) 26%; nephropathy (Nf) 3.5%; ischemic heart disease (IHD) 3.5%; periferic arteriopathy (PA) 7%; Cerebrovascular accident (CVA) 2%; peripheric neuropathy (PN) 5%. DM 2: DR 14%; Nf 13%; IHD 12%; PA 9%; CVA 5%; PN 4%; autonomic neuropathy 3%. Metabolic control DM 2: 67% HbA(1c) £ 7.5. Best metabolic control in DM with less years of evolution (p = 0.001). Treatment DM 2: 32% diet, 51% oral treatment, 13% insulin, 4% mixed. No relation with cultural level and family situation with metabolic control. In chronic complications only DR were more prevalent in patients with less cultural level (p = 0.037). CONCLUSIONS: Less cultural level doesn’t influence neither metabolic control nor appearance chronic complications, except DR. The knowledge of diabetic population attended has allowed to detect the need of reinforce the intervention for decrease smoking and increase chronic complications detection.
Databáze: OpenAIRE