Table 3. Biological age obtained from the deep neural network predictor was regressed as a function of chronological age and additional features to estimate their effect on the pace of aging.

Type	Variable	Coefficient	Standard deviation (σ)
Demographic	Chronological age, years	0.49	0.00
	Is male	0.42	0.02
Social	Is married	−0.59	0.04
	Is widowed	0.27	0.09
	Is rural	0.39	0.01
Psychological	Rarely bothered by things	0.09	0.03
	Rarely lacks focus	−0.05	0.02
	Rarely depressed	−0.09	0.02
	Rarely hopeful	0.28	0.01
	Rarely fearful	−0.29	0.02
	Restless sleep is rare	−0.44	0.01
	Rarely feels happy	0.35	0.02
	Rarely feels lonely	0.05	0.03
Smoking	Currently smoking	1.25	0.02
	Intercept	28.37	0.02
Metrics
	MAPE (CV), %	7.57
	MAPE (Test), %	6.37
	MAE (CV), years	4.18
	MAE (Test), years	4.09
	N (CV), people	4846
	N (Test), people	4451

All variables, except for chronological age, are binary. All coefficients, except for “Is widowed”, are significant within 3σ, as estimated with ten random cross-validation splits. Abbreviations: CV: cross-validation; MAE: mean absolute error; MAPE: mean absolute percentage error.