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Inequalities II
Social influences on trajectories of self-rated health: a comparative study of four OECD countries
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  1. A. Sacker1,
  2. D. Worts2,
  3. P. McDonough2
  1. 1
    Institute for Social and Economic Research, University of Essex, Colchester, Essex, UK
  2. 2
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

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    Objective

    To describe average national trajectories of self-rated health over a 7-year period, identify social determinants of cross-sectional and longitudinal health; and compare cross-national patterns.

    Design

    Prospective nationally representative household panel studies (the US Panel Study of Income Dynamics; British Household Panel Survey; the German Socio-Economic Panel Survey; the Danish panel from the European Community Household Panel Survey).

    Setting

    The US, Britain, Germany and Denmark.

    Participants

    Household heads and their partners of working age throughout follow-up (US: 4855; Britain: 4365; Germany: 4694; Denmark: 3252).

    Main Outcome Measure

    Repeated measures of self-rated health (1995–2001). Social indicators include education, occupational class, employment status, income, age, gender, minority status and marital status, all measured in 1994.

    Methods

    Latent growth curve models describe average national trajectories of self-rated health and individual differences in these trajectories. Latent factors representing intercept and slope components are extracted from seven annual observations across time for self-rated health, and are conditioned on predictors measured one year prior to baseline. Aging-vector graphs are used to visualise trajectories of self-rated health.

    Results

    The vector graphs for the US and Germany show that self-rated health remained relatively stable for young adults, declined as adults became middle aged and then became more stable again. The graphs for Britain and Denmark indicate a steady decline throughout working life. The Danish model indicates an unfavourable trend in self-rated health during a period that experienced a move to monetarism: ratings were lower for persons of a given age in 2001 than for persons of the same age in 1995. Social covariates predicted baseline health in all four countries, with the strength of association consistent with theories of welfare regime typologies. The strongest social gradients were seen in the US, while the weakest were seen in Denmark and Germany. Britain occupied a position between these two extremes. Once inequalities in baseline health had been accounted for, there were few determinants of mean health decline. There was little difference in the aging trajectories for those with advantaged and average social profiles. By contrast, disadvantage had a strong effect on aging trajectories. Differences were already apparent at 25 years of age in the US and Britain and gaps widened with age in all four countries.

    Conclusion

    National differences in self-rated health trajectories and their social correlates may be attributed, in part, to welfare policies.