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Objective This study examined how associations of self-reported concussion history and depression vary based on different variable characterizations.  Methods  Former NFL players ( n  =   1,697) completed a General Health Survey, indicating the number of concussions they sustained during their football career and whether a physician had diagnosed them with depression, and the PROMIS 4-item Depression scale. Self-reported concussion history was characterized as: a 3-category variable (0, 1–2, 3+) with (1) indicator variables and (2) as an ordinal variable; a 5-category variable (0, 1–2, 3–5, 6–9, 10+) with (3) indicator variables and (4) as an ordinal variable; and (5) the original interval scale (0, 1, 2,…, 10, 10+). Depression was characterized as: (1) physician diagnosis (yes/no); and the PROMIS 4-item Depression scale treated as: (2) the original  T -score variable and (3) using a cut-off of a  T -score &gt;60 versus ≤60. Regression models with various combinations of the characterizations, while adjusting for age, race/ethnicity, education, pain interference, and stress level, estimated prevalence ratios and mean differences for binary and continuous outcomes, respectively. Concussion history-related effect estimates were compared across all models.  Results  Self-reported concussion history emerged as a significant predictor of each depression measure. With a higher number of concussions reported, be it via the categories or the interval scale, stronger associations between self-reported concussion history and depression were observed.  Conclusions  The various approaches to characterize self-reported concussion history and depression provided evidence of significant associations between the two variables, with the degree of association varying based on characterization of each construct.

Measurement implications on the association between self-reported concussion history and depression: An NFL-LONG study