Literature DB >> 11896131

Health inequalities by education and age in four Nordic countries, 1986 and 1994.

Karri Silventoinen1, E Lahelma.   

Abstract

STUDY
OBJECTIVE: To compare the age pattern of educational health inequalities in four Nordic countries in the mid-1980s and the mid-1990s.
DESIGN: Cross sectional interview surveys at two points of time.
SETTING: Data on self reported limiting longstanding illness, and perceived health were collected from Denmark, Finland, Norway, and Sweden in 1986/87 and in 1994/95. PARTICIPANTS: Representative samples of the non-institutionalised population at 15 years or older. Analyses were restricted to respondents aged between 25 and 75 (n= 23 325 men and 24 184 women). Response rates varied from 73% to 87%. MAIN
RESULTS: The age adjusted prevalence of limiting longstanding illness in Finland was 10% higher in men and 6% higher in women than in other Nordic countries in 1986/87 but the gap narrowed by 1994/95. Educational health inequalities were largest in Norway. In 1986/87 the odds ratio (OR) for limiting longstanding illness was 11.25 (95% CI 8.66 to 14.62) among men and 8.23 (95% CI 6.60 to 10.27) among women in the oldest age group (65-74 years old) in Finland when the youngest age group (25-34 years old) was used as the reference category (OR=1.00). The age pattern in Finland was steeper than in Sweden (OR=5.02, 95% CI 3.97 to 6.34 in men and 5.29, 95% CI 4.18 to 6.71 in women) or Norway (OR=6.32, 95% CI 4.06 to 9.84 and 5.45, 95% CI 3.81 to 7.82, respectively). In 1994/95 relative health improved in the oldest age group in Finland (OR=5.80, 95% CI 4.33 to 7.78 in men and 5.94, 95% CI 4.52 to 7.79 in women) and in Norway (OR=4.55, 95% CI 3.01 to 6.88 and 3.96, 95% CI 2.70 to 5.81, respectively) but remained stable in Sweden. The study compared health differences by age in different educational categories and found that in Finland in 1986/87 the health in the oldest age group was poorer for secondary (OR=10.59, 95% CI 5.96 to 18.82) or basic educated (OR=9.76, 95% CI 6.66 to 14.30) men than for men with higher education (OR=5.15, 95% CI 2.59 to 10.22). The difference was not found among women or in other Nordic countries and it diminished among men in Finland in 1994/95. The results of perceived health were broadly similar to the above results of limiting longstanding illness.
CONCLUSION: The results suggest that compared with other Nordic countries the comparatively poorer health in Finland is partly attributable to a cohort effect. This may be associated with the lower standard of living in Finland that lasted until the mid-1950s. The cohort effect is also likely to contribute to educational health inequalities among older Finnish men. The results suggest that not only current social policies but also past economic circumstances are likely to affect the overall health status as well as health inequalities.

Entities:  

Mesh:

Year:  2002        PMID: 11896131      PMCID: PMC1732117          DOI: 10.1136/jech.56.4.253

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  14 in total

1.  [Small changes in health differences in the Nordic countries during the 1980s and 1990s].

Authors:  E Roos; K Kivelä; E Lahelma; T Tuominen; E Dahl; F Diderichsen; J I Elstad; I Lissau; O Lundberg; O Rahkonen; N K Rasmussen; M A Yngwe
Journal:  Lakartidningen       Date:  2001-05-23

2.  Age, socioeconomic status, and health.

Authors:  J S House; R C Kessler; A R Herzog
Journal:  Milbank Q       Date:  1990       Impact factor: 4.911

3.  Morbidity differences by occupational class among men in seven European countries: an application of the Erikson-Goldthorpe social class scheme.

Authors:  A E Cavelaars; A E Kunst; J J Geurts; U Helmert; O Lundberg; A Mielck; J Matheson; A Mizrahi; A Mizrahi; N Rasmussen; T Spuhler; J P Mackenbach
Journal:  Int J Epidemiol       Date:  1998-04       Impact factor: 7.196

4.  Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.

Authors:  J P Mackenbach; A E Kunst; A E Cavelaars; F Groenhof; J J Geurts
Journal:  Lancet       Date:  1997-06-07       Impact factor: 79.321

Review 5.  Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe.

Authors:  J P Mackenbach; A E Kunst
Journal:  Soc Sci Med       Date:  1997-03       Impact factor: 4.634

Review 6.  A review of the social patterning and significance of measures of height, weight, blood pressure and respiratory function.

Authors:  S Macintyre
Journal:  Soc Sci Med       Date:  1988       Impact factor: 4.634

7.  The size of mortality differences associated with educational level in nine industrialized countries.

Authors:  A E Kunst; J P Mackenbach
Journal:  Am J Public Health       Date:  1994-06       Impact factor: 9.308

8.  The social stratification of aging and health.

Authors:  J S House; J M Lepkowski; A M Kinney; R P Mero; R C Kessler; A R Herzog
Journal:  J Health Soc Behav       Date:  1994-09

9.  Body height, birth cohort and social background in Finland and Sweden.

Authors:  K Silventoinen; E Lahelma; O Lundberg; O Rahkonen
Journal:  Eur J Public Health       Date:  2001-06       Impact factor: 3.367

10.  Patterns of class inequality in health through the lifespan: class gradients at 15, 35 and 55 years in the west of Scotland.

Authors:  G Ford; R Ecob; K Hunt; S Macintyre; P West
Journal:  Soc Sci Med       Date:  1994-10       Impact factor: 4.634

View more
  18 in total

1.  Impact of social standing on sports injury prevention in a WHO safe community: intervention outcome by household employment contract and type of sport.

Authors:  T Timpka; K Lindqvist; J Ekstrand; N Karlsson
Journal:  Br J Sports Med       Date:  2005-07       Impact factor: 13.800

2.  Association of education and the occurrence of low birthweight in rural southern China during the early and late 1990s.

Authors:  Yinghui Liu; Jianmeng Liu; Rongwei Ye; Aiguo Ren; Song Li; Zhu Li
Journal:  Am J Public Health       Date:  2007-08-29       Impact factor: 9.308

3.  Long-term employment and health inequalities in Canadian communities.

Authors:  Jalil Safaei
Journal:  Can J Public Health       Date:  2008 May-Jun

4.  Differential health reporting by education level and its impact on the measurement of health inequalities among older Europeans.

Authors:  Teresa Bago d'Uva; Owen O'Donnell; Eddy van Doorslaer
Journal:  Int J Epidemiol       Date:  2008-08-02       Impact factor: 7.196

5.  Education and depressive symptoms in 22 European countries.

Authors:  Olaf von dem Knesebeck; Elise Pattyn; Piet Bracke
Journal:  Int J Public Health       Date:  2010-10-21       Impact factor: 3.380

6.  Social dynamics of health inequalities: a growth curve analysis of aging and self assessed health in the British household panel survey 1991-2001.

Authors:  Amanda Sacker; Paul Clarke; Richard D Wiggins; Mel Bartley
Journal:  J Epidemiol Community Health       Date:  2005-06       Impact factor: 3.710

7.  Alcohol consumption in Estonia and Finland: Finbalt survey 1994-2006.

Authors:  Kersti Pärna; Kaja Rahu; Satu Helakorpi; Mare Tekkel
Journal:  BMC Public Health       Date:  2010-05-19       Impact factor: 3.295

8.  Education-related gender differences in health in rural China.

Authors:  Jing Wu; Yuanli Liu; Keqin Rao; Qi Sun; Juncheng Qian; Zhu Li
Journal:  Am J Public Health       Date:  2004-10       Impact factor: 9.308

9.  Differences between women's and men's socioeconomic inequalities in health: longitudinal analysis of the Canadian population, 1994-2003.

Authors:  S Luchenski; A Quesnel-Vallée; J Lynch
Journal:  J Epidemiol Community Health       Date:  2008-12       Impact factor: 3.710

10.  Trends in absolute socioeconomic inequalities in mortality in Sweden and New Zealand. A 20-year gender perspective.

Authors:  Sarah Wamala; Tony Blakely; June Atkinson
Journal:  BMC Public Health       Date:  2006-06-21       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.