Willingness to participate in prevention programs for cardiometabolic diseases

BMC Public Health

Markus MJ Nielen¹  Joke C Korevaar¹  Margreet M Reitsma-van Rooijen¹  Jessica Petter¹ 

[1] NIVEL (Netherlands Institute for Health Services Research), Utrecht, 3500 BN, The Netherlands

关键词: Willingness to participate;    Lifestyle intervention;    Health check;    Cardiometabolic diseases;   

Others  :  1122820
DOI  :  10.1186/s12889-015-1379-0

 received in 2014-04-23, accepted in 2015-01-08,  发布年份 2015

【 摘 要 】

Background

Cardiometabolic diseases are the leading cause of death worldwide and result in decreased quality of life for patients and increased healthcare costs. Population-based prevention programs may prevent the onset and development of cardiometabolic diseases. The effectiveness of these programs depends on participation rates. This study identified factors related to willingness to participate in health checks and lifestyle intervention programs to prevent cardiometabolic diseases.

Methods

A questionnaire was sent to 1,500 Dutch adults, participating in the Dutch Health Care Consumer Panel of NIVEL. The questionnaire was developed by NIVEL. Predictors of willingness to participate were identified with logistic regression analyses. Predictors investigated were socio-demographic variables, risk factors for cardiometabolic diseases and motivational aspects.

Results

The response rate was 63%. 56% of the participants in our study were willing to participate in a health check. Higher age was associated with increased willingness to participate, as was the desire to know the actual risk for cardiometabolic diseases (OR = 4.6). Becoming unnecessarily worried was identified as a barrier (OR = 0.3). 47% were willing to participate in a lifestyle intervention program. People aged 39–65 were most willing to participate. Attention for prevention relapse behavior (OR = 3.3), informing the general practitioner about results (OR = 2.6) and conducting the program in a group (OR = 2.0) were positively associated with willingness to participate in lifestyle interventions.

Conclusions

Willingness to participate in a health check depended on personal beliefs, whereas social aspects contributed most to willingness to participate in a lifestyle intervention program. This information can be used to optimize and tailor the promotion of prevention programs.

【 授权许可】

   
2015 Petter et al.; licensee BioMed Central.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]World Health Organization: Global Status Report on Noncommunicable Diseases 2010. WHO Press, Geneva, Switzerland; 2011.
• [2]Mathers CD, Loncar D: Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 2006, 3:e442.
• [3]Tourlouki E, Matalas AL, Panagiotakos DB: Dietary habits and cardiovascular disease risk in middle-aged and elderly populations: a review of evidence. Clin Interv Aging 2009, 4:319.
• [4]Sattar N, Gaw A, Scherbakova O, Ford I, O’Reilly DS, Haffner SM, et al.: Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland coronary prevention study. Circulation 2003, 108:414-9.
• [5]Repas TB: Challenges and strategies in managing cardiometabolic risk. J Am Osteopath Assoc 2007, 107:S4-11.
• [6]Rice BH, Cifelli CJ, Pikosky MA, Miller GD: Dairy components and risk factors for cardiometabolic syndrome: recent evidence and opportunities for future research. Adv Nutr 2011, 2:396-407.
• [7]Kraushaar LE, Kramer A: Are we losing the battle against cardiometabolic disease? The case for a paradigm shift in primary prevention. BMC Public Health 2009, 9:64. BioMed Central Full Text
• [8]Laws RA, Fanaian M, Jayasinghe UW, McKenzie S, Passey M, Davies GP, et al.: Factors influencing participation in a vascular disease prevention lifestyle program among participants in a cluster randomized trial. BMC Health Serv Res 2013, 13:201. BioMed Central Full Text
• [9]Ma J, King A, Wilson S, Xiao L, Stafford R: Evaluation of lifestyle interventions to treat elevated cardiometabolic risk in primary care (E-LITE): a randomized controlled trial. BMC Fam Pract 2009, 10:71. BioMed Central Full Text
• [10]Unal B, Critchley JA, Capewell S: Modelling the decline in coronary heart disease deaths in England and Wales, 1981–2000: comparing contributions from primary prevention and secondary prevention. BMJ 2005, 331:614.
• [11]National Institute for Clinical Excellence: Prevention of Cardiovascular Disease at Population Level. NICE, Manchester; 2010.
• [12]Deaton C, Froelicher ES, Wu LH, Ho C, Shishani K, Jaarsma T: The global burden of cardiovascular disease. Eur J Cardiovasc Nur 2011, 10:S5-13.
• [13]Assendelft WJ, Nielen MM, Hettinga DM, van der Meer V, van Vliet M, Drenthen AJ, et al.: Bridging the gap between public health and primary care in prevention of cardiometabolic diseases; background of and experiences with the prevention consultation in The Netherlands. Fam Pract 2012, 29:i126-31.
• [14]van der Meer V, Nielen MM, Drenthen AJ, van Vliet M, Assendelft WJ, Schellevis FG: Cardiometabolic prevention consultation in the Netherlands: screening uptake and detection of cardiometabolic risk factors and diseases–a pilot study. BMC Fam Pract 2013, 14:29. BioMed Central Full Text
• [15]Lakerveld J, IJzelenberg W, Van Tulder MW, Hellemans IM, Rauwerda JA, Van Rossum AC, et al.: Motives for (not) participating in a lifestyle intervention trial. BMC Med Res Methodol 2008, 8:17. BioMed Central Full Text
• [16]Elzen H, Slaets JP, Snijders TA, Steverink N: Do older patients who refuse to participate in a self-management intervention in the Netherlands differ from older patients who agree to participate. Aging Clin Exp Res 2008, 20:266-71.
• [17]Koopmans B, Nielen MM, Schellevis FG, Korevaar JC: Non-participation in population-based disease prevention programs in general practice. BMC Public Health 2012, 12:1-10. BioMed Central Full Text
• [18]Robroek SJ, Van Lenthe FJ, Van Empelen P, Burdorf A: Determinants of participation in worksite health promotion programmes: a systematic review. Int J Behav Nutr Phys Act 2009, 6:26-37. BioMed Central Full Text
• [19]Lambert AM, Burden AC, Chambers J, Marshall T: Cardiovascular screening for men at high risk in heart of Birmingham teaching primary care trust: the deadly trio programme. J Public Health 2012, 34:73-82.
• [20]Wall M, Teeland L: Non-participants in a preventive health examination for cardiovascular disease: characteristics, reasons for non-participation, and willingness to participate in the future. Scand J Prim Health Care 2004, 22:248-51.
• [21]Nielsen KDB, Dyhr L, Lauritzen T, Malterud K: You can’t prevent everything anyway: a qualitative study of beliefs and attitudes about refusing health screening in general practice. Fam Pract 2004, 21:28-32.
• [22]Groeneveld IF, Proper KI, Van Der Beek AJ, Hildebrandt VH, Van Mechelen W: Factors associated with non-participation and drop-out in a lifestyle intervention for workers with an elevated risk of cardiovascular disease. Int J Behav Nutr Phys Act 2009, 6:80. BioMed Central Full Text
• [23]Vermunt PWA, Milder IEJ, Wielaard F, Van Oers JAM, Westert GP: An active strategy to identify individuals eligible for type 2 diabetes prevention by lifestyle intervention in Dutch primary care: the APHRODITE study. Fam Pract 2010, 27:312-9.
• [24]Toft UN, Kristoffersen LH, Aadahl M, von Huth Smith L, Pisinger C, Jørgensen T: Diet and exercise intervention in a general population: mediators of participation and adherence: the Inter99 study. Eur J Public Health 2007, 17:455-63.
• [25]van Gils PF, Lambooij MS, Flanderijn MH, van den Berg M, de Wit GA, Schuit AJ, et al.: Willingness to participate in a lifestyle intervention program of patients with type 2 diabetes mellitus: a conjoint analysis. Patient Prefer Adherence 2011, 5:537-46.
• [26]Van der Weijden T, Van Steenkiste B, Stoffers HEJH, Timmermans DRM, Grol RPTM: Primary prevention of cardiovascular diseases in general practice: mismatch between cardiovascular risk and patients’ risk perceptions. Med Decis Making 2007, 27:754-61.
• [27]Schmidt M, Absalah S, Nierkens V, Stronks K: Which factors engage women in deprived neighbourhoods to participate in exercise referral schemes? BMC Public Health 2008, 8:371. BioMed Central Full Text
• [28]Murray J, Honey S, Hill K, Craigs C, House A: Individual influences on lifestyle change to reduce vascular risk: a qualitative literature review. Br J Gen Pract 2012, 62:e403-10.
• [29]Brabers AEM, Reitsma-van Rooijen M, de Jong JD: Consumentenpanel Gezondheidszorg. Basisrapport met informatie over het panel (2012). NIVEL, Utrecht; 2012.
• [30]Centraal Bureau voor de Statistiek. Bevolking; geslacht, leeftijd en burgerlijke staat, 1 januari. Den Haag/Heerlen. 2014 (www.cbs.nl).