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Results: 4

1.
Figure 1

Figure 1. From: Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Age patterns of the DIs constructed using overlapping and complementary sets of deficits. The number of deficits used for construction of the DIs is indexed next to the DI in the inset. Numbers over bars show the number of individuals in each age group. Bars show 95% confidence interval for mean DI for each age group. Solid lines depict quadratic fits with parameters shown in Table 2.

Alexander M Kulminski, et al. Mech Ageing Dev. ;132(4):195-201.
2.
Figure 4

Figure 4. From: Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Age patterns of the DI85 constructed using the entire set of 85 deficits. (A) Patterns for probands’ family members. (B) Patterns for the LLFS participants residing in Denmark (DK), Boston (BU), New York (NY), and Pittsburg (PT). Bars show 95% confidence intervals (CIs) for mean DI85 for each age group.

Alexander M Kulminski, et al. Mech Ageing Dev. ;132(4):195-201.
3.

Figure 3. From: Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Age patterns of the DI27 constructed using 27 deficits which were used for characterization of health and disability statuses. (A) The patterns characterize individuals who were diagnosed (unhealthy) and were not diagnosed (healthy) with major diseases but who could have disability. (B) The patterns characterize individuals who were disabled (disabled) and who were not disabled (non-disabled) but who could have major diseases. Solid lines depict exponential fits of the form DI = c1 + c2 exp {a1 (age−40)} with parameters given in the insets. The number of individuals in each age group is the same as in Figure 2. Bars show 95% confidence interval (CI) for mean DI for each age group. R2 is coefficient of determination.

Alexander M Kulminski, et al. Mech Ageing Dev. ;132(4):195-201.
4.

Figure 2. From: Do gender, disability, and morbidity affect aging rate in the LLFS? Application of indices of cumulative deficits.

Age patterns of the DI58 constructed using 58 deficits which were not used for characterization of health and disability statuses. (A) The patterns characterize individuals who were diagnosed (unhealthy) and were not diagnosed (healthy) with major diseases but who could have disability. Linear scale; solid lines depict quadratic fits of the form 2 DI = const+ a1 (age−40)+ a2 (age−40)2 with parameters given in the insets. (B) The patterns characterize individuals who were disabled (disabled) and who were not disabled (non-disabled) but who could have major diseases. Logarithmic scale; dashed lines depict exponential fits of the form DI = const exp {a1 (age−40)} with parameters given in the insets. Numbers next to symbols show the number of individuals in each age group. Bars show 95% confidence interval (CI) for mean DI for each age group. R2 is coefficient of determination.

Alexander M Kulminski, et al. Mech Ageing Dev. ;132(4):195-201.

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