Skip to main content

Table 3 Separate Multilevel Cumulative Logistic Regression Models Predicting Self-Reported Health among Older Adults with Type 2 Diabetes, 1992-2006

From: Socioeconomic status and race/ethnicity independently predict health decline among older diabetics

 

Model 1

Model 2

Model 3

 

OR (95% CI)

OR (95% CI)

OR (95% CI)

Race/ethnicity (ref: White)

   

   Black

0.614 (0.473, 0.796)

-

0.701 (0.543, 0.905)

   Hispanic

0.592 (0.407, 0.860)

-

0.684 (0.474, 0.988)

Education at baseline

(ref: less than high school)

   

   High school/GED

-

1.046 (0.711, 1.539)

1.026 (0.699, 1.506)

   Some college or more

-

0.644 (0.460, 0.900)

0.666 (0.477, 0.930)

Household income per year (in $100 s) †

-

1.074 (0.947, 1.218)

1.068 (0.942, 1.210)

Household assets

(in $1000 s)†

-

1.391 (1.167, 1.658)

1.342 (1.127, 1.596)

BMI †

1.012 (0.993, 1.080)

1.012 (0.993, 1.030)

1.013 (0.995, 1.032)

Health insurance at baseline

1.481 (1.208, 1.815)

1.417 (1.161, 1.729)

1.361 (1.115, 1.662)

Sex (ref: female)

   

   Male

0.964 (0.795, 1.170)

1.006 (0.830, 1.219)

1.019 (0.842, 1.234)

Comorbidities at baseline

0.534 (0.476, 0.599)

0.552 (0.495, 0.616)

0.547 (0.490, 0.611)

Working at baseline

2.746 (1.708, 4.417)

2.376 (1.485, 3.802)

2.370 (1.486, 3.780)

Model Characteristics

   

   Log Likelihood

-2942.620

-2928.521

-2923.391

   Condition Number

2811.638

2865.067

2861.017

   Level 1 and Level 2 units

2233, 2151

2232, 2141

2232, 2141

   Variance of random effects (Level 1, Level 2)

1.355, -0.573

1.241, -0.542

1.198, -0.534

  1. †Indicates variables that vary across waves.