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. 2023 Jun 10;22(8):e13872. doi: 10.1111/acel.13872

TABLE 2.

: Validation on socio‐demographic and medical data.

Variable N Complete model Minimal model Klemera–Doubal Model Homeostatic dysregulation
Coeff. p‐val dAIC Coeff. p‐val dAIC Coeff. p‐val dAIC Coeff. p‐val dAIC
Socio‐demographic variables
Gender 47,168
Female 24,294 (52%) 0 1243 11,737 32,524
Male 22,874 (48%) 1.59 <0.001 1.53 <0.001 1.58 <0.001 −0.09 0.5
Ethnicity 47,168
Non‐Hispanic white 19,700 (42%) 0 1239 11,686 32,281
Mexican American 13,017 (28%) −0.24 0.03 0.02 0.89 −0.29 0.02 1.12 <0.001
Non‐Hispanic black 9977 (21%) 0.22 0.06 0.06 0.60 −0.94 <0.001 2.89 <0.001
Others 4474 (9%) 0.93 <0.001 1.12 <0.001 0.92 <0.001 1.10 <0.001
Family income 43,137
Q1 – Low 11,467 (27%) 0 1097 10,587 29,832
Q2 13,446 (31%) −0.12 0.33 −0.06 0.65 0.34 0.02 −0.75 <0.001
Q3 8294 (19%) −0.36 0.01 −0.29 0.05 0.35 0.03 −1.24 <0.001
Q4 – High 9930 (23%) −0.44 0.001 −0.38 0.006 0.44 0.004 −2.50 <0.001
Poverty Index Ratio 43,137
No poverty 33,837 (78%) 0 1095 10,596 29,879
Poverty 9300 (22%) 0.48 <0.001 0.463 <0.001 0.27 0.04 1.88 <0.001
Medical variables
Body Mass Index 46,498
Obesity 17,153 (37%) 2.49 <0.001 0 2.50 <0.001 1226 5.20 <0.001 9637 2.97 <0.001 28,645
Overweight 15,397 (33%) 0.94 <0.001 0.90 <0.001 1.87 <0.001 0.20 0.20
Normal weight 13,175 (28%)
Underweight 773 (2%) −0.31 0.38 −0.50 0.17 −2.12 <0.001 0.80 0.10
Tobacco exposure 47,046
No exposure 34,904 (74%) 0 1225 11,662 32,487
Exposure 12,142 (26%) 0.74 <0.001 0.86 <0.001 −0.94 <0.001 0.93 <0.001
Sedentarity 17,207
Active 15,380 (89%) 0 300 2451 4305
Sedentary 1827 (11%) 0.92 <0.001 0.81 0.001 1.29 <0.001 2.03 <0.001
Pathologies
Liver diseases 1750 (4%) 0.90 <0.001 0 0.74 0.003 1290 4.06 <0.001 11,231 2.70 <0.001 31,926
Coronary Heart Diseases 4186 (9%) 2.27 <0.001 0 2.31 <0.001 1274 4.10 <0.001 11,123 4.30 <0.001 31,217
Diabetes 8079 (17%) 5.85 <0.001 0 6.04 <0.001 1161 8.80 <0.001 9936 8.19 <0.001 32,561
Thyroid diseases 4049 (9%) 1.25 <0.001 0 1.23 <0.001 1283 2.25 <0.001 11,328 0.86 <0.001 31,421
Arthritis 11,681 (26%) 1.66 <0.001 0 1.71 <0.001 1271 2.43 <0.001 11,281 1.77 <0.001 31,460
Cancer 3450 (8%) 0.84 <0.001 0 0.82 <0.001 1275 0.73 <0.001 11,332 0.39 0.13 30,907
Kidney diseases 1304 (3%) 4.84 <0.001 0 4.86 <0.001 1284 13.3 <0.001 10,041 8.99 <0.001 31,213
Bronchitis 7877 (17%) 0.83 <0.001 0 0.69 <0.001 1258 1.60 <0.001 11,645 1.42 <0.001 32,500
Auto‐immune digestive disease 59 (1%) 1.69 0.19 4376 1.69 0.20 4551 0.55 0.68 4439 −0.84 0.30 0
Digestive ulcer 388 (10%) 0.34 0.50 2819 0.16 0.76 2895 0.47 0.42 3835 0.14 0.70 0
Eye disease 451 (8%) 0.86 0.09 3956 0.70 0.18 4188 2.29 <0.001 5263 1.15 0.002 0
Dermatologic disease 842 (4%) 0.04 0.91 15,899 −0.06 0.88 16,313 −0.08 0.83 19,516 −0.002 0.99 0
AAC24 score 2770
Low score 2136 (77%) 1525 1606 2226 0
Med score 219 (8%) 2.20 0.003 1.99 0.009 2.14 0.01 2.93 <0.001
High score 415 (15%) 1.58 0.004 1.54 0.006 0.79 0.20 0.09 0.83

Note: For each model (complete model, minimal model, Klemera–Doubal Model (KDM), or Homeostatic Dysregulation (HD)), a multivariate model adjusted on chronological age and gender was performed and the coefficient and its associated p‐value regarding the validation data were presented. Akaike criterion (AIC) was computed for each model and presented as the difference compared with the best model (dAIC). Subjects at least 18 years old were included in this analysis.