Extended Data Fig. 1: Associations of sex and gender inequality with brain-age gaps. | Nature Medicine

Extended Data Fig. 1: Associations of sex and gender inequality with brain-age gaps.

From: Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations

Extended Data Fig. 1

Multi-method approach comprising SHapley Additive exPlanations (SHAP) values, features and permutation importance. Plot shows the mean importance values for each method, along with their 99% confidence interval, as well as the average R-squared and Cohen’s f². Having a neurocognitive disorder, being female, and living in countries with larger gender inequality (particularly from LAC), were associated with higher brain age-gaps. The model was significant with R2 = 0.40 (99% CI ± 0.12), F2 = 0.66 (99% CI ± 0.14), RMSE = 6.85 (99% CI ± 0.82), F = 352.54, and p < 1e-15. We conducted a two-sided F-test to evaluate the overall significance of the regression model. The importance of the features and their respective confidence intervals can be found in Supplementary Table 1. LAC = Latin American and Caribbean countries.

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