Socioeconomic position and participation in baseline and follow-up visits: The Inter99 study

European Journal of Preventive Cardiology

Volumn 21, Issue 7, 2014, Pages 899-905

  Bender, Anne M ^a   Jørgensen, Torben ^a,b,c   Helbech, Bodil ^a   Linneberg, Allan ^a   Pisinger, Charlotta ^a  

^a GLOSTRUP UNIVERSITY HOSPITAL   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c AALBORG UNIVERSITY   (Denmark)

Author keywords

Follow up study; high risk; ischaemic heart disease; lifestyle intervention; participation; register based data; socioeconomic position

Indexed keywords

ADULT; ARTICLE; CONSULTATION; CONTROLLED STUDY; FEMALE; FOLLOW UP; HIGH RISK PATIENT; HUMAN; ISCHEMIC HEART DISEASE; LIFESTYLE MODIFICATION; MAJOR CLINICAL STUDY; MALE; MEDICAL EXAMINATION; PATIENT COUNSELING; PRIORITY JOURNAL; PROBABILITY; RANDOMIZED CONTROLLED TRIAL; RISK ASSESSMENT; SOCIOECONOMICS; BODY MASS; GROUPS BY AGE; HIGH RISK POPULATION; LIFESTYLE; NORMAL HUMAN; RISK FACTOR; SOCIAL PARTICIPATION; SYSTOLIC BLOOD PRESSURE; ATTITUDE TO HEALTH; HEALTH BEHAVIOR; HEALTH CARE DISPARITY; HEALTH PROMOTION; MIDDLE AGED; MYOCARDIAL ISCHEMIA; PROCEDURES; REGISTER; RISK; STATISTICS AND NUMERICAL DATA;

ADULT; ATTITUDE TO HEALTH; FEMALE; FOLLOW-UP STUDIES; HEALTH BEHAVIOR; HEALTH PROMOTION; HEALTHCARE DISPARITIES; HUMANS; LIFE STYLE; MALE; MIDDLE AGED; MYOCARDIAL ISCHEMIA; REGISTRIES; RISK; RISK ASSESSMENT; SOCIOECONOMIC FACTORS;

EID: 84902584267     PISSN: 20474873     EISSN: 20474881     Source Type: Journal    
DOI: 10.1177/2047487312472076     Document Type: Article

References (24)

1. Harper S, Lynch J, Smith GD. Social determinants and the decline of cardiovascular diseases: understanding the links. Annu Rev Public Health. 2011 ; 32: 39-69
2. European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). Eur J Prev Cardiol. 2012 ; 19: 585-667
3. Mackenbach JP. Health inequalities: Europe in profile. UK Presidency of the EU, 2006. London: COI (Central Office of Information).
4. Ebrahim S, Taylor F, Ward K, et al. Multiple risk factor interventions for primary prevention of coronary heart disease. Cochrane Database Syst Rev. 2011 ; 1: CD001561 - CD001561
5. Berglund G, Nilsson P, Eriksson KF, et al. Long-term outcome of the Malmo preventive project: mortality and cardiovascular morbidity. J Intern Med. 2000 ; 247: 19-29
6. Eriksen L, Grønbaek M, Helge JW, et al. The Danish Health Examination Survey 2007-2008 (DANHES 2007-2008). Scand J Public Health. 2011 ; 39: 203-211
7. Søgaard AJ, Selmer R, Bjertness E, et al. The Oslo Health Study: the impact of self-selection in a large, population-based survey. Int J Equity Health. 2004 ; 3: 3-3
8. Strandhagen E, Berg C, Lissner L, et al. Selection bias in a population survey with registry linkage: potential effect on socioeconomic gradient in cardiovascular risk. Eur J Epidemiol. 2010 ; 25: 163-172
9. Tjønneland A, Olsen A, Boll K, et al. Study design, exposure variables, and socioeconomic determinants of participation in Diet, Cancer and Health: a population-based prospective cohort study of 57,053 men and women in Denmark. Scand J Public Health. 2007 ; 35: 432-441
10. Wilhelmsen L, Tibblin G, Werkö L. (1972) A primary preventive study in Gothenburg, Sweden. Prev Med. 2007 ; 1: 153-160
11. Inelmen EM, Toffanello ED, Enzi G, et al. Predictors of drop-out in overweight and obese outpatients. Int J Obes. 2005 ; 29: 122-128
12. Archer M, Rinzler S, Christakis G. Social factors affecting participation in a study of diet and coronary heart disease. J Health Soc Behav. 1967 ; 8: 22-31
13. McCann TJ, Criqui MH, Kashani IA, et al. A randomized trial of cardiovascular risk factor reduction: patterns of attrition after randomization and during follow-up. J Cardiovasc Risk. 1997 ; 4: 41-46
14. Merrill RM, Aldana SG. Cardiovascular risk reduction and factors influencing loss to follow-up in the coronary health improvement project. Med Sci Monit. 2008 ; 14: H17 - H25
15. Jørgensen T, Borch-Johnsen K, Thomsen TF, et al. A randomized non-pharmacological intervention study for prevention of ischaemic heart disease: baseline results Inter99. Eur J Cardiovasc Prev Rehabil. 2003 ; 10: 377-386
16. Thomsen TF, Davidsen M, Ibsen H, et al. A new method for CHD prediction and prevention based on regional risk scores and randomized clinical trials; PRECARD and the Copenhagen Risk Score. J Cardiovasc Risk. 2001 ; 8: 291-297
17. Sundararajan V, Henderson T, Perry C, et al. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004 ; 57: 1288-1294
18. Mackenbach JP, Kunst AE. Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med. 1997 ; 44: 757-771
19. Watt G. The inverse care law today. Lancet. 2002 ; 360: 252-254
20. Ludt S, Wensing M, Campbell SM, et al. The challenge of cardiovascular prevention in primary care: implications of a European observational study in 8928 patients at different risk levels. Eur J Prev Cardiol 2012 [Epub ahead of print].
21. Aadahl M, von Huth SL, Toft U, et al. (2011) Does a population-based multi-factorial lifestyle intervention increase social inequality in physical activity? The Inter99 study. Br J Sports Med. 2012 ; 45: 209-215
22. Toft U, Jakobsen M, Aadahl M, et al. Does a population-based multi-factorial lifestyle intervention increase social inequality in dietary habits? The Inter99 study. Prev Med. 2011 ; 54: 88-93
23. Pisinger C, Aadahl M, Toft U, et al. Does a population-based multi-factorial lifestyle intervention increase social inequality in smoking? The Inter99 study. OJPM. 3: 394-402
24. Lorent V, Deliège D, Eaton W, et al. (2003) Socioeconomic inequalities in depression: a meta-analysis. Am J Epidemiol. 2012 ; 157: 98-112