Skip to main content

Table 3 Results from the complete case (CC) and inverse probability weighted (IPW) models with estimates for the association of subject-specific factors on Self-Reported Health trajectories

From: What is the impact of underweight on self-reported health trajectories and mortality rates: a cohort study

  CC IPW
  Coef. 95% CI. Coef. 95% CI.
Body mass index
  < 18.5 Kg/m2 0.238 −0.040 0.515 0.222 −0.091 0.536
 18.5-22.99 Kg/m2 0.101 0.020 0.182 0.091 0.007 0.175
 22-24.99 kg/m2 0.000 Reference 0.000 Reference
 25-29.99 kg/m2 −0.042 −0.118 0.035 −0.033 −0.112 0.045
  > 30 kg/m2 −0.173 −0.283 −0.063 −0.137 −0.252 −0.021
BMI*age
  < 18.5 Kg/m2 −0.063 −0.112 −0.013 −0.058 −0.113 −0.002
 18.5-22.99 Kg/m2 −0.015 −0.031 0.000 −0.014 −0.029 0.002
 22-24.99 kg/m2 0.000 Reference 0.000 Reference
 25-29.99 kg/m2 −0.001 −0.015 0.013 −0.003 −0.017 0.011
  > 30 kg/m2 0.002 −0.017 0.022 −0.004 −0.024 0.016
age (pr 10 years) 0.951 0.137 1.766 0.933 0.055 1.810
age2 −0.333 −0.572 −0.095 −0.341 −0.597 −0.085
age3 0.043 0.013 0.073 0.045 0.013 0.077
age4 −0.002 −0.003 −0.001 −0.002 −0.004 −0.001
Observation time (year) −0.005 −0.006 −0.003 −0.004 −0.006 −0.003
Gender −0.018 −0.034 −0.002 −0.010 −0.026 0.007
Specific medical conditions −0.071 −0.075 −0.067 −0.063 −0.068 −0.059
Mental distress (standardized) −0.222 −0.230 −0.215 −0.210 −0.218 −0.201
Resting heart rate (Standardized) −0.040 −0.047 −0.032 −0.040 −0.049 −0.032
Systelic blood pressure (pr 10 mmHg) 0.003 −0.001 0.007 0.000 0.000 0.000
Total cholesterol 0.000 0.000 0.001 0.001 −0.005 0.008
Physical activity (4 levels)
 Inactive 0.000 Reference 0.000 Reference
 Light 0.102 0.085 0.119 0.091 0.073 0.108
 Moderate 0.177 0.159 0.196 0.158 0.139 0.178
 Intensive 0.212 0.187 0.237 0.192 0.165 0.218
Daily smoking (yes/no) −0.092 −0.108 −0.076 −0.085 −0.102 −0.068
Constant 2.321 1.307 3.335 2.376 1.281 3.471
Random part
 Variance (constant) 0.111 0.105 0.117 0.165 0.158 0.171
 Variance (Residual) 0.235 0.229 0.241 0.185 0.180 0.190
  1. Complete case model (CC): Mixed-effects ML regression model, Wald chi2(23) =9184.16, Log likelihood = −25,102.758, P < 0.0001
  2. Inverse probability weighted model (IPW): Mixed-effects ML regression model with inverse probability weighting for differential attrition, Wald chi2(23) =7683.26, Log likelihood = −29,943.958, P < 0.0001