Non-traditional education trajectories are common, but their influence on physical health is understudied. We constructed year-by-year education trajectories for 7,501 National Longitudinal Survey of Youth 1979 participants, from age 14… Click to show full abstract
Non-traditional education trajectories are common, but their influence on physical health is understudied. We constructed year-by-year education trajectories for 7,501 National Longitudinal Survey of Youth 1979 participants, from age 14 to 48 (262,535 person-years of education data from 1979 - 2014). We characterized trajectory similarity using sequence analysis (Halpin's optimal matching) and used hierarchical clustering to group similar educational trajectories. Using linear regression, we predicted age 50 physical health summary scores from the 12-item short-form instrument, adjusting for available confounders and evaluated effect modification by sex, race/ethnicity, and childhood socioeconomic status (cSES). We identified 24 unique educational sequence clusters based on highest schooling (
               
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