Start Date

15-10-2009 10:45 AM

End Date

15-10-2009 12:00 PM

Description

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 visualize 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 Esping-Andersen’s welfare regime type. The strongest social gradients were seen in the US, while the weakest were seen in Germany and Denmark. 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. When these did occur, they were in countries classified as liberal welfare states. There was little difference in the aging trajectories for those with advantaged and average social profiles. By contrast, disadvantage has 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.

The paper is forthcoming in the Journal of Community Health and Epidemiology (JECH).

Peggy McDonough is an Associate Professor in the Dalla Lana School of Public Health at the University of Toronto. Her research interests in social inequalities in health and women’s health have led her recently to incorporate a comparative welfare state dimension in her studies.


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Oct 15th, 10:45 AM Oct 15th, 12:00 PM

Welfare Regimes and Social Inequalities in Health Dynamics: A Comparative Analysis of Panel Data from Britain, Denmark, Germany and the US

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 visualize 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 Esping-Andersen’s welfare regime type. The strongest social gradients were seen in the US, while the weakest were seen in Germany and Denmark. 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. When these did occur, they were in countries classified as liberal welfare states. There was little difference in the aging trajectories for those with advantaged and average social profiles. By contrast, disadvantage has 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.

The paper is forthcoming in the Journal of Community Health and Epidemiology (JECH).

Peggy McDonough is an Associate Professor in the Dalla Lana School of Public Health at the University of Toronto. Her research interests in social inequalities in health and women’s health have led her recently to incorporate a comparative welfare state dimension in her studies.