Abstract
The aim of the study was to compare educational and gender specific trends in the classical cardiovascular risk factors body mass index (BMI), cholesterol, systolic blood pressure and smoking in a Norwegian population during a period when the coronary heart disease mortality had just reached its peak in the late 1970s and 1980s. We used The Norwegian Counties study: a longitudinal study with three screenings on the same individuals in Oppland, Sogn␣og Fjordane and Finnmark counties in Norway in the period 1974–1988. All residents aged 35–49 were invited and 48,422 participated (89%) in the baseline screening. To estimate the cardiovascular␣risk factor change in individuals over time longitudinal statistical methods were used. BMI, cholesterol and blood pressure levels increased with age, while the amount of daily smokers decreased. The higher the educational level the lower the level of BMI, blood pressure, smoking and cholesterol. This pattern persisted through the whole study period. In men, however, the educational gradient in cholesterol diminished in the last screening. Among women there was an increase in inequality in systolic blood pressure, and for smoking there was a steeper decrease for men than women across all educational groups. The educational differences in classical cardiovascular risk factors persisted, except for BMI, cholesterol and daily smokers in men which tended to decrease.
Similar content being viewed by others
References
Mackenbach JP, Bos V, Andersen O, et al. 2003; Widening socioeconomic inequalities in mortality in six Western European countries Int J Epidemiol 32(5):830–837
Harding S, 1995; Social class differences in mortality of men: Recent evidence from the OPCS longitudinal study. Office of population censuses and surveys Popul Trends (80):31–37
Martikainen P, Valkonen T, Martelin T, 2001; Change in male and female life expectancy by social class: Decomposition by age and cause of death in Finland 1971–1995 J Epidemiol Community Health 55(7):494–499
Huisman M, Kunst AE, Bopp M, et al. 2005; Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations Lancet 365(9458):493–500
Addor V, Wietlisbach V, Narring F, Michaud PA, 2003; Cardiovascular risk factor profiles and their social gradient from adolescence to age 74 in a Swiss region Prev Med 36(2):217–228
Bennett S 1995; Cardiovascular risk-factors in Australia – Trends in socioeconomic inequalities J Epidemiol Community Health 49(4):363–372
Bartley M, Fitzpatrick R, Firth D, Marmot M, 2000; Social distribution of cardiovascular disease risk factors: Change among men in England 1984–1993 J Epidemiol Community Health 54(11):806–814
Ferrario M, Sega R, Chatenoud L, et al. 2001; Time trends of major coronary risk factors in a northern Italian population (1986–1994). How remarkable are socioeconomic differences in an industrialized low CHD incidence country? Int J Epidemiol 30(2):285–291
Iribarren C, Luepker RV, McGovern PG, Arnett DK, Blackburn H, 1997; Twelve-year trends in cardiovascular disease risk factors in the Minnesota heart survey – Are socioeconomic differences widening? Arch Intern Med 157(8):873–881
Manhem K, Dotevall A, Wilhelmsen L, Rosengren A, 2000; Social gradients in cardiovascular risk factors and symptoms of Swedish men and women: The Goteborg MONICA study 1995 J Cardiovasc Risk 7(5):359–368
Molarius A, Seidell JC, Sans S, Tuomilehto J, Kuulasmaa K, 2000; Educational level, relative body weight, and changes in their association over 10 years: An international perspective from the WHO MONICA Project Am J Public Health 90(8):1260–1268
Molarius A, 2003; The contribution of lifestyle factors to socioeconomic differences in obesity in men and women – a population-based study in Sweden Eur J Epidemiol 18(3):227–234
Osler M, Gerdes LU, Davidsen M, et al. 2000; Socioeconomic status and trends in risk factors for cardiovascular diseases in the Danish MONICA population, 1982–1992 J Epidemiol Community Health 54(2):108–113
Peltonen M, Huhtasaari F, Stegmayr B, Lundberg V, Asplund K, 1998; Secular trends in social patterning of cardiovascular risk factor levels in Sweden. The Northern Sweden MONICA Study 1986–1994 J Intern Med 244(1):1–9
Ulmer H, Diem G, Bischof HP, Ruttmann E, Concin H, 2001; Recent trends and sociodemographic distribution of cardiovascular risk factors: Results from two population surveys in the Austrian WHOCINDI demonstration area Wien Klin Wochenschr 113(15–16):573–579
Ferrie JE, Shipley MJ, Smith GD, Stansfeld SA, Marmot MG, 2002; Change in health inequalities among British civil servants: The Whitehall II study J Epidemiol Community Health 56(12):922–926
Bjartveit K, Foss OP, Gjervig T, Lund-Larsen PG, 1979; The cardiovascular disease study in Norwegian counties. Background and organization Acta Med Scand Suppl 6341–6370
Hjermann I, Velve BK, Holme I, Leren P, 1981; Effect of diet and smoking intervention on the incidence of coronary heart disease. Report from the Oslo study group of a randomised trial in healthy men Lancet 2(8259):1303–1310
National Health Screening Service, 1988; The Cardiovascular Disease Study in Norwegian Counties. Results from Second Screening National Health Screening Service Oslo
Stensvold I, 1996 Coffee and Health [dissertation] National Health Screening Service Oslo
Lund-Larsen PG, 1997; Blood pressure measured with a sphygmomanometer and with Dinamap under field conditions – A comparison Nor J Epidemiol 7(2):235–241
Dupont WD, 2002; Statistical Modelling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data Cambridge University Press Cambridge
S-PLUS® 6.1 for Windows. Professional edition (6.1, release 1). 2002. S-PLUS: Copyright 1988, 2002 Insightful Corp. Intercooled Stata 8.1 for windows. Intercooled (8.1). 2003. USA, Stata Corporation
Wilsgaard T, Schirmer H, Arnesen E, 2000; Impact of body weight on blood pressure with a focus on sex differences – The Tromso study, 1986–1995 Arch Intern Med 160(18):2847–2853
Wilsgaard T, Arnesen E, 2004; Change of serum lipids and body mass index by age, sea, and smoking status. The Tromsø Study 1986–1995 Ann Epidemiol 14(4):265–273
Akahoshi M, Soda M, Nakashima E, Shimaoka K, Seto S, Yano K, 1996; Effects of menopause on trends of serum cholesterol, blood pressure, and body mass index Circulation 94(1):61–66
Kim CJ, Kim TH, Ryu WS, Ryoo UH, 2000; Influence of menopause on high density lipoprotein-cholesterol and lipids J Korean Med Sci 15(4):380–386
Pasquali R, Casimirri F, Pascal G, et al. 1997; Influence of menopause on blood cholesterol levels in women: The role of body composition, fat distribution and hormonal milieu. Virgilio Menopause Health Group J Intern Med 241(3):195–203
Heitmann BL, 2000; Ten-year trends in overweight and obesity among Danish men and women aged 30–60 years Int J Obes Relat Metab Disord 24(10):1347–1352
Strand BH, Tverdal A, 2004; Can cardiovascular risk factors and lifestyle explain the educational inequalities in mortality from ischaemic heart disease and from other heart diseases? 26 year follow up of 50,000 Norwegian men and women J Epidemiol Community Health 58(8):705–709
Bergstrand R, Vedin A, Wilhelmsson C, Wilhelmsen L, 1983; Bias due to non-participation and heterogenous subgroups in population surveys J Chronic Dis 36(10):725–728
Jacobsen BK, Thelle DS, 1988; The Tromso-Heart-study – Responders and non-responders to a health questionnaire, do they differ Scand J Soc Med 16(2):101–104
Sørlie K, Residentiality, moving and educational level in the municipalities. Eight classes followed through the age phase 15–35 years. 93/28. 1993. Oslo, Statistics Norway. Reports
Twisk JWR, 2003 Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide Cambridge University Press Cambridge
Hox J, 2002 Multilevel Analysis: Techniques and Applications Mahwah, Lawrence Erlbaum Associates, Inc., Publishers New Jersey
Kunst AE, Mackenbach JP, 1994; The size of mortality differences associated with educational level in nine industrialized countries Am J Public Health 84:932–937
Acknowledgement
This project has been financed with the aid of EXTRA funds from the Norwegian Foundation for Health and Rehabilitation.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Mortality inequalities for low educated compared to high educated (RII*) in two time periods in three Norwegian counties**, for men and women. Age adjusted RIIs was estimated using Cox-regression.
Time period | RII (95% confidence limits) | |
---|---|---|
Men, 35–49 years | Women, 35–49 years | |
1970–1980 | 1.55 (1.26–1.92) | 1.68 (1.16–2.42) |
1990–2000 | 3.16 (2.62–3.80) | 1.88 (1.42–2.48) |
Men, 55–69 years | Women, 55–69 years | |
1990–2000 | 1.62 (1.47–1.78) | 1.97 (1.69–2.30) |
Rights and permissions
About this article
Cite this article
Strand, B.H., Tverdal, A. Trends in educational inequalities in cardiovascular risk factors: A longitudinal study among 48,000 middle-aged Norwegian men and women. Eur J Epidemiol 21, 731–739 (2006). https://doi.org/10.1007/s10654-006-9046-5
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10654-006-9046-5