Healthy ageing at the intersections: research and policy perspectives
CHRONIC DISEASE AND HEALTHY AGEING AT THE INTERSECTIONS�
Intersectionality in a life course perspective
Aims
The Life Course Framework
Halfon et al 2014
Example concepts:
Social roles e.g. mother, employee
Life stage e.g. retirement
Transitions e.g. first job
Socio-historical contexts e.g. growing up in the pandemic.
Example patterns of inequality:
Age/cohort – ageing in different time periods.
Trajectory – paths of change & development
Cumulative dis/advantage – diverging/converging inequality with age
Two fundamental components of intersectionality
Subgroup heterogeneity according to how gender, ethnicity, socioeconomic position, age inequalities (and potentially many other social markers) overlap/interact. Originally a focus on Black Women (Kimberlé Crenshaw).
Social power. The power structures and processes that result in diverse intersectional outcomes. In particular, social discrimination via institutions such as schools, prisons, pensions, the family etc. that systematically exclude, marginalise and disadvantage on the basis of social characteristics.
The Intersectional Life Course
Heterogeneity
Social roles
Trajectories
Transitions
Socio-historical context
Intersectionality
The life course
A chief concern with gender and ethnicity, later socioeconomic position (but rarely age)
A chief concern with age and gender, ethnicity, SEP (but rarely together)
Different intersectional ‘locations’ are associated with different identities and social roles
We pass through different roles as we age – different identities, expectations,
Trajectories are the result of life-long experiences of social factors/context
Mostly absent; has rarely considered trajectories of inequality
Critical points in one’s life story and trajectory
Often entail institutional/policy encounters e.g. education, family work, pensions
Different contexts entail different configurations of discrimination ‘the matrix of domination’
Life experiences and ageing more generally strongly shaped by historical time period
Empirical examples
Policy implications
Conclusion