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.
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.
Authors: Miguel A Sánchez-Chaparro; Javier Román-García; Eva Calvo-Bonacho; Tomás Gómez-Larios; Ana Fernández-Meseguer; Juan C Sáinz-Gutiérrez; Martha Cabrera-Sierra; Angel García-García; Juan Rueda-Vicente; Adolfo Gálvez-Moraleda; Arturo González-Quintela Journal: Rev Esp Cardiol Date: 2006-05 Impact factor: 4.753
Authors: F Antón García; A Maiques Galán; M Franch Taix; E Aleixandre Martí; A B Gómez Ortega; R Sotoca Cobaleda Journal: Aten Primaria Date: 2001-12 Impact factor: 1.137
Authors: Guy De Backer; Ettore Ambrosioni; Knut Borch-Johnsen; Carlos Brotons; Renata Cifkova; Jean Dallongeville; Shah Ebrahim; Ole Faergeman; Ian Graham; Giuseppe Mancia; Volkert Manger Cats; Kristina Orth-Gomér; Joep Perk; Kalevi Pyörälä; José L Rodicio; Susana Sans; Vedat Sansoy; Udo Sechtem; Sigmund Silber; Troels Thomsen; David Wood Journal: Eur Heart J Date: 2003-09 Impact factor: 29.983
Authors: Shelby D Reed; Yanhong Li; Eugene Z Oddone; Alice M Neary; Melinda M Orr; Janet M Grubber; Felicia L Graham; Maren K Olsen; Laura P Svetkey; Rowena J Dolor; Benjamin J Powers; Martha B Adams; Hayden B Bosworth Journal: Am J Hypertens Date: 2009-11-19 Impact factor: 2.689
Authors: H Sone; S Tanaka; S Iimuro; S Tanaka; K Oida; Y Yamasaki; S Oikawa; S Ishibashi; S Katayama; H Yamashita; H Ito; Y Yoshimura; Y Ohashi; Y Akanuma; N Yamada Journal: Diabetologia Date: 2010-01-07 Impact factor: 10.122
Authors: Marieke F van Wier; Geertje A M Ariëns; J Caroline Dekkers; Ingrid J M Hendriksen; Tjabe Smid; Willem van Mechelen Journal: BMC Public Health Date: 2009-01-09 Impact factor: 3.295
Authors: Luke Wolfenden; Sharni Goldman; Fiona G Stacey; Alice Grady; Melanie Kingsland; Christopher M Williams; John Wiggers; Andrew Milat; Chris Rissel; Adrian Bauman; Margaret M Farrell; France Légaré; Ali Ben Charif; Hervé Tchala Vignon Zomahoun; Rebecca K Hodder; Jannah Jones; Debbie Booth; Benjamin Parmenter; Tim Regan; Sze Lin Yoong Journal: Cochrane Database Syst Rev Date: 2018-11-14