Is There a Reversal in the Effect of Obesity on Mortality in Old Age?

Table 3

Cox Regression Models Predicting Mortality at 20-year followup by BMI, and age, controlling for smoking status (Ever versus Never).

Full sample

Age groups

75–84 year olds

85–94 years old

CD and NH residents

CD

CD and NH residents

CD

CD and NH residents

CD

𝑁=1369

𝑛=1200

𝑛=809

𝑛=752

𝑛=560

𝑛=448

HR

CI

HR

CI

HR

CI

HR

CI

HR

CI

HR

CI

Background

Age

1.068^c

1.055–1.082

1.067^c

1.053–1.081

1.077^c

1.047–1.108

1.076^c

1.045–1.108

1.062^b

1.025–1.100

1.065^b

1.025–1.107

Gender (male=1)

1.267^b

1.104–1.453

1.265^b

1.092–1.465

1.429^c

1.195–1.709

1.449^𝑐

1.202–1.746

1.087

.871–1.357

1.051

0.823–1.342

Origin

East

.849

0.715–1.008

0.867

0.723–1.040

0.960

0.767–1.201

0.993

.788–1.252

0.730^a

0.559–0.955

0.715^a

0.533–0.958

West

1.030

0.887–1.197

1.042

0.887–1.224

1.024

0.846–1.240

1.033

.844–1.264

1.028

0.805–1.313

1.033

0.786–1.358

Years of education

0.994

0.982–1.007

0.996

0.982–1.009

0.998

0.981–1.015

0.999

.981–1.017

0.992

0.974–1.011

0.993

0.972–1.015

Additional income

0.940

0.829–1.070

0.932

0.811–1.071

0.844^d

0.711–1.003

0.858^d

0.717–1.026

1.040

0.845–1.279

0.993

0.791–1.247

Had children

0.705^b

0.570–0.872

0.684^b

0.538–0.869

0.661^b

.504–.867

0.629^b

0.468–0.844

0.791

0.554–1.130

0.780

0.506–1.204

Smoking status; (1= ever)

1.106

0.969–1.262

1.103

0.959–1.269

1.153^d

0.974–1.364

1.151

0.966–1.371

1.015

0.816–1.263

0.993

0.781–1.263

BMI

Obese (>30)

1.122

0.934–1.347

1.096

.902–1.332

1.291^a

1.022–1.631

1.315^a

1.032–1.676

0.946

0.704–1.273

0.853

0.614–1.187

Underweight (<22)

1.411^c

1.199–1.661

1.404^c

1.179–1.671

1.267^a

1.005–1.597

1.304^a

1.025-1.657

1.475^b

1.163–1.871

1.400^a

1.075–1.824

χ ^2 (df=2)

16.346^c

13.699^b

7.003^a

7.789^a

10.852^b

8.185^a

^a𝑃<.05,^b𝑃<.01,^c𝑃<.001.^d.1>𝑃>.05.
HR= Hazard Ratio= Exp (b); CI= Confidence Interval.