Linked lives: intergenerational transmission of labour-market pathways between parent dyads and children.

While a vast number of studies confirm the transmission of labour-market disadvantages from one generation to the next, less is known about how parents' interconnected labour-market pathways co-evolve and shape the opportunities and obstacles for their children's future careers. This study uses a multidimensional view of intergenerational transmission by describing the most typical pathways of parents' occupational careers and assesses how these patterns are associated with their children's labour-market outcomes. Drawing on Swedish longitudinal register data, we used multichannel sequence analysis to follow a cohort of people born in 1985 (n = 72,409) and their parents across 26 years. We identified four parental earning models, differentiating between (1) dual earners with high wages, (2) dual earners with low-wage, (3) one-and-a-half-earners and (4) mother as the main breadwinner. Regression analysis shows strong intergenerational transmission among the most advantageous trajectories, with education as a key determinant for young people to become less dependent on family resources. This study stresses the importance of intra-couple perspectives in life course research to understand how inequalities are shaped and preserved across generations.

Evolution of the profiles of new psychotropic drug users before and during the COVID-19 crisis: an original longitudinal approach through multichannel sequence analysis using the French health-care database.

The COVID-19 pandemic has had a substantial impact on mental health. An increase in the use of anxiolytic, hypnotic, and antidepressant drugs has been highlighted in France, but with no information at the individual level (trajectories) or concerning patient characteristics. The objective of this study was to describe the profile of new psychotropic drug users since the beginning of the pandemic. We formed two historical cohorts using the Pays-de-la-Loire regional component of the National Health Data System (SNDS): a "COVID-19 crisis cohort" (2020-2021) and a "control cohort" (2018-2019). We analyzed reimbursements for psychotropic medications (anxiolytics, antidepressants, hypnotics, mood stabilizers, and antipsychotics) using a multichannel sequence analysis and performed clustering analysis of sequences. The proportion of new consumers of psychotropic drugs was higher in the COVID-19 crisis cohort (18.0%) than that in the control cohort (16.0%). In the COVID-19 cohort, three clusters of psychotropic drug users were identified, whereas four clusters were identified in the control cohort. A time lag in treatment initiation was observed in the COVID-19 crisis cohort (September) compared with the control cohort (July). This study is one of the first to analyze the profile of psychotropic treatment users during the COVID-19 crisis. Our analysis sheds light on changes in patterns of psychotropic drug use during the COVID-19 pandemic, possibly associated with changes in prescribing conditions and mental health conditions during the crisis. This study also provides an example of the application of an innovative longitudinal analysis methodology in the field of pharmacoepidemiology.