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Nine studies assessed a single life course model and three assessed more than one.
Our objective was to see whether the life course model of disaffiliation held in these contexts.
Evidence indicated an overall relationship, but mixed results were found for each life course model.
We found more support for the life course model in Ireland.
We see strong support for the life course model of religious disaffiliation.
We observed a different pattern in Austria that deviated much more substantially from the life course model.
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We then used a structured modelling approach to select the life course models which best fitted the data for each CHD risk factor.
Life course modelling can complement causal analysis by revealing interactions between the processes of SES and health and their contribution to health inequality.
In this study, we tested alternative life course models to determine which best described associations between exposure to stressors in childhood, adolescence, and adulthood, and self-reported health in women previously treated for breast, gynaecological, and blood cancer.
These results were supported by evidence of cumulative effects found when using structured life course models.
The critical period, social mobility, and cumulative life course models, showed the same fit to the data.
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