Table 4.

Logistic and Cox Proportional Hazards Models for Mortality from the Oklahoma Longitudinal Assessment of the Health Outcomes of Mature Adults Studies Data Set

Without Function VariablesWith Function Variables
Mortality*PMortality*P
Logistic models
    Age0.99 (0.97–1.02).880.96 (0.94–0.98).001
    Sex (female)1.67 (1.18- 2.37).0042.28 (1.52–3.42)<.0001
    BMI0.96 (0.93–0.99).020.93 (0.90–0.96)<.0001
    Education1.12 (1.01–1.22).031.16 (1.04–1.29).006
    Income0.83 (0.75–0.91).00020.89 (0.80–0.99).03
    IADL score0.78 (0.67–0.91).002
    50-foot timed walk1.13 (1.09–1.18)<.0001
    Night sweats0.72 (0.43–1.22).250.98 (0.54–1.80).95
    Severe night sweats0.66 (0.29–1.48).310.95 (0.36–2.53).91
Cox proportional hazards models
    Age0.99 (0.97–1.02).470.96 (0.94–0.98).001
    Sex (female)1.56 (1.17–2.09).0031.65 (1.20–2.26).002
    BMI0.96 (0.94–0.99).0090.94 (0.92–0.97)<.0001
    Education1.10 (1.02–1.19).021.11 (1.03–1.21).01
    Income0.84 (0.77–0.91)<.00010.89 (0.81–0.98).01
    IADL score0.80 (0.73–0.88)<.0001
    50-foot timed walk1.04 (1.03–1.05)<.0001
    Night sweats1.28 (0.84–1.95).261.13 (0.71–1.79).62
    Severe night sweats1.51 (0.79–2.86).211.25 (0.61–2.58).54
  • * Data in Mortality columns provided as odds ratio (95 CI).

  • The variables “night sweats” and “severe night sweats” were added separately.

  • BMI, body mass index; IADL, instrumental activities of daily living.