Efectividad de una estrategia de intervención preventiva, basada en entrevistas telefónicas estructuradas, en una población laboral con riesgo cardiovascular moderado/alto.

OBJECTIVE This study assesses the effectiveness of a structured telephone survey on cardiovascular prevention, in modifying lifestyle, on cardiovascular risk parameters, percentage of smoking cessation and overall cardiovascular risk (CVR). DESIGN Quasi-experimental study of preventive intervention. SETTING Ibermutuamur (Spanish Accident and Health Insurance Company). Centres established throughout Spain. PARTICIPANTS A total of 4,792 workers with moderate/high cardiovascular risk who had agreed to be contacted by phone. Subjects with a previous diagnosis of cardiovascular disease and those receiving treatment for hypertension, hypercholesterolemia or diabetes were excluded. INTERVENTION A final total of 3,085 workers were contacted and were followed up by telephone surveys on the first, fourth and eighth month after the initial check up (CU) in order to emphasise cardiovascular health advice (Group A); we failed to contact 1,707 workers, who only attended the baseline and one year CUs (Group B). PRINCIPAL OUTCOMES: CUs included medical records and physical examination, with two blood pressure measurements, Body Mass Index (BMI), and biochemical parameters. Cardiovascular risk was stratified following the European cardiovascular SCORE. Individuals with a relative risk higher than 4 were also considered as high-risk. All workers were informed about their cardiovascular risk profile (CVRF) and healthy cardiovascular lifestyle measures. They were also given a letter for their General Practitioner (GP) to inform them on the worker's cardiovascular risk level. RESULTS A total of 71.5% of the workers were over 45 years, 95.0% males, 76.6% manual workers ("Blue Collar") and 69.7% smokers. Both groups showed improvement in lipid parameters, blood pressure, smoking cessation and overall cardiovascular risk in the second CU. There were significant differences in favour of Group A as regards blood pressure, lipids (except HDL cholesterol), BMI, glycaemia, smoking cessation (A: 23.5%/B: 19.44%, P=0.001) and CVR stratum improvement (A: 46.6%/B: 37.7%, P=0.0001). The large majority (85%) of workers read preventive recommendations; 33% knew their risk level and 73% knew their CVRF. 52.9% gave the letter to the GP, which led them to start therapies on diet (47%), hypertension (19.5%), dyslipidaemia (16.7%), diabetes (4.4%) and smoking (2.9%) and no changes were made in 36.5% of cases. CONCLUSIONS The results of this study suggests that cardiovascular prevention strategy based on structured telephone surveys on high/moderate CVR subjects to promote lifestyle changes could be effective at reducing CVR. A clinical trial is required for confirmation. Sending information on CVRF following routine medial CUs and Primary Care involvement, could contribute to the positive changes observed.

Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study.

BACKGROUND Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention. METHODS AND FINDINGS The InterAct study includes 12,403 incident T2D cases and a representative sub-cohort of 16,154 individuals from a cohort of 340,234 European participants with 3.99 million person-years of follow-up. We studied the combined effects of an additive genetic T2D risk score and modifiable and non-modifiable risk factors using Prentice-weighted Cox regression and random effects meta-analysis methods. The effect of the genetic score was significantly greater in younger individuals (p for interaction  = 1.20×10-4). Relative genetic risk (per standard deviation [4.4 risk alleles]) was also larger in participants who were leaner, both in terms of body mass index (p for interaction  = 1.50×10-3) and waist circumference (p for interaction  = 7.49×10-9). Examination of absolute risks by strata showed the importance of obesity for T2D risk. The 10-y cumulative incidence of T2D rose from 0.25% to 0.89% across extreme quartiles of the genetic score in normal weight individuals, compared to 4.22% to 7.99% in obese individuals. We detected no significant interactions between the genetic score and sex, diabetes family history, physical activity, or dietary habits assessed by a Mediterranean diet score. CONCLUSIONS The relative effect of a T2D genetic risk score is greater in younger and leaner participants. However, this sub-group is at low absolute risk and would not be a logical target for preventive interventions. The high absolute risk associated with obesity at any level of genetic risk highlights the importance of universal rather than targeted approaches to lifestyle intervention.