TABLE 8.
Factors associated with affecting the annual height decrease.
Estimate | Standard error | T-value | P-value | |
Intercept | –0.284 | 0.029 | –9.91 | <0.0001 |
Sex (female) | 0.072 | 0.003 | 23.73 | <0.0001 |
Age (>60) | 0.051 | 0.002 | 25.11 | <0.0001 |
Low-income | 0.021 | 0.002 | 10.99 | <0.0001 |
Hypertension | 0.007 | 0.002 | 3.60 | 0.0003 |
Diabetes | 0.002 | 0.002 | 0.98 | 0.3267 |
Dyslipidemia | –0.017 | 0.002 | –8.31 | <0.0001 |
Smoking | 0.025 | 0.003 | 8.86 | <0.0001 |
Drinking | –0.008 | 0.002 | –3.51 | 0.0005 |
BMI (<25) | –0.011 | 0.002 | –5.91 | <0.0001 |
Baseline height | 0.003 | 0.0002 | 15.02 | <0.0001 |
R2 = 0.0111, Adj R2 = 0.0110, F-value = 142.93, P-value ≤0.0001.
Multivariate linear regression.