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Table 4 Prediction of clinical and psychological variables by sex and gender score in combined linear regression models

From: Gender score development in the Berlin Aging Study II: a retrospective approach

Dependent variable Female sex Gender score Female sex Gender score R2
β p value β p value
LDL-Cholesterol 13.69 < 0.001 − 0.043 0.381 0.033
Total cholesterol 25.023 < 0.001 − 0.059 0.273 0.088
HbA1c − 0.069 0.107 − 0.001 0.287 0.007
CES-Depression 0.246 0.576 0.057 < 0.001 0.068
Cortisol − 15.016 0.067 − 0.530 0.001 0.027
Hand grip strength − 15.601 < 0.001 − 0.019 0.021 0.654
Negative affect − 0.462 0.485 0.058 < 0.001 0.023
Life satisfaction 1.200 0.078 − 0.120 < 0.001 0.081
  1. We used linear regression models to determine the association of sex and the gender score with biological and psychosocial variables. For each of the biological and psychosocial (dependent) variables, a linear model was calculated, all including sex and the gender score as independent variables. All models explained less than 10% (R2) of the variability, with the exception of the model for hand grip strength, in which 65% of the variability in grip strength was explained by sex and the gender score. β*, unstandardized regression coefficient beta (n = 1045)