Table 4.
Logistic regression associations (odds ratios) between a set of physiological indices and the DI and long-lived individuals (survived to ages 85+ years) for the combined sample of the participants of the 9th and 14th FHS exams
Age, years |
Sample | NTL NLL |
DI39def, 95% CI |
PP, 95% CI |
DBP 95% CI |
SCH, 95% CI |
BG, 95% CI |
HC, 95% CI |
DI30def, 95% CI |
---|---|---|---|---|---|---|---|---|---|
50-84∥,# | M&F | 0.44* 0.39-0.49 |
0.79* 0.76-0.83 |
0.87* 0.82-0.92 |
1.02§ 1.00-1.03 |
0.91* 0.87-0.93 |
0.52* 0.46-0.58 |
||
50-84∥ | M&F | 4950 2066 |
0.48* 0.42-0.54 |
0.83* 0.79-0.87 |
0.93§ 0.87-0.99 |
1.02§ 1.00-1.03 |
0.92* 0.90-0.95 |
0.55* 0.49-0.62 |
|
Males | 0.40* 0.32-0.50 |
0.80* 0.74-0.86 |
0.93‡ 0.90-0.97 |
0.46* 0.36-0.57 |
|||||
Females | 0.52* 0.45-0.61 |
0.85* 0.80-0.89 |
0.90§ 0.83-0.98 |
1.02§ 1.00-1.04 |
0.92* 0.89-0.95 |
0.59* 0.52-0.69 |
|||
50-54 | M&F | 714 138 |
0.48§ 0.27-0.86 |
0.69† 0.55-0.86 |
0.85§ 0.75-0.97 |
0.53§ 0.31-0.90 |
|||
55-59 | M&F | 599 253 |
0.40* 0.26-0.62 |
0.71* 0.61-0.83 |
0.52† 0.35-0.76 |
||||
60-64 | M&F | 1232 369 |
0.39* 0.28-0.55 |
0.89† 0.83-0.95 |
0.72† 0.59-0.83 |
0.48* 0.35-0.65 |
|||
65-69 | M&F | 1036 497 |
0.46* 0.35-0.59 |
0.76* 0.69-0.84 |
0.94§ 0.90-0.99 |
0.55* 0.43-0.70 |
|||
70-74 | M&F | 763 391 |
0.48* 0.37-0.63 |
0.79* 0.71-0.87 |
0.92‡ 0.87-0.97 |
0.55* 0.42-0.71 |
|||
75-79** | M&F | 420 256 |
0.47* 0.34-0.65 |
1.39§ 1.06-1.82 |
0.56† 0.40-0.78 |
Models are adjusted for sex, age, smoking, and body mass index.
NTL=the number of subjects in the analysis; NLL=the number of long-lived (85+ years) individuals.
DI=deficit index (%); PP=pulse pressure (the difference between systolic and diastolic blood pressures; mm Hg); DBP=diastolic blood pressure (mm Hg); PR=pulse rate (beats/min); SCH=serum cholesterol (mg/100 ml); BG=blood glucose (mg/100 ml); HC=hematocrit (%).
denotes “univariate” analysis when adjusted models included only one of the explanatory variables (see Table 2). The number of subjects is not shown since these numbers are different for each model due to difference in the missing values (these numbers are, however, larger than those in the case of multivariate model). All other models are “multivariate” with all the explanatory variables included.
Individuals from the <50 age category for exam 9 (N=579) and the <60 age category for exam 14 (N=465) were excluded because they could not have achieved age 85 years before the end of follow-up at exam 25.
p<0.0001
p<0.001
p<0.01
p<0.05.
The 80+ age category (N=186) was excluded due to small number of controls (N=24), i.e., individuals who did not survive until age 85. This group is retained in the 50-84 sample.