Table 3.
Hierarchical Regression Analyses Predicting HbA1c Levels in Middle-Aged Adults (51-64 y) With Type 2 Diabetes (N = 379), the 1998 and 2000 Health and Retirement Study (HRS) and the HRS 2003 Diabetes Studya
| Variable | Model 1b | Model 2c | Model 3d | Model 4e | ||||
|---|---|---|---|---|---|---|---|---|
| β | P Value | β | P Value | β | P Value | β | P Value | |
| Demographics (Race/Ethnicity) | ||||||||
| Non-Hispanic black | 1.13 | <.001 | .96 | <.001 | .82 | .001 | .80 | .002 |
| Hispanic | .88 | <.001 | .87 | .004 | .74 | .01 | .79 | .007 |
| Non-Hispanic white | 1 [Reference] | 1 [Reference] | 1 [Reference] | 1 [Reference] | ||||
| Clinical Conditions | ||||||||
| No. of chronic diseases | — | — | .24 | <.001 | .19 | .002 | .18 | .003 |
| Duration of diabetes | — | — | .04 | <.001 | .01 | .32 | .02 | .046 |
| Treatment Modality | ||||||||
| Diet only | — | — | — | — | −1.07 | <.001 | −1.18 | <.001 |
| Oral medication | — | — | — | — | −.35 | .11 | −.46 | .04 |
| Insulin only or combination | — | — | — | — | 1 [Reference] | 1 [Reference] | ||
| Lifestylef | ||||||||
| Fair | — | — | — | — | — | — | −1.22 | <.001 |
| Good | — | — | — | — | — | — | −.96 | .008 |
| Poor | — | — | — | — | — | — | 1 [Reference] | |
| Fg | 12.90 | <.001 | 14.38 | <.001 | 12.82 | <.001 | 11.40 | <.001 |
| R 2, % | 6.67 | — | 14.44 | — | 18.49 | — | 21.30 | — |
| ΔR 2, % | — | — | 7.77 | — | 4.05 | — | 2.81 | — |
| Fh | — | — | 16.98 | <.001 | 9.24 | <.001 | 6.61 | .001 |
Abbreviation: HbA1c, hemoglobin A1c.
P values calculated using t test, analysis of variance (ANOVA), and simple regression; significance set at α = .05.
Model 1: demographic variables only.
Model 2: variables are demographics and clinical conditions.
Model 3: variables are demographics, clinical conditions, and treatment modality.
Model 4: variables are demographics, clinical conditions, treatment modality, and lifestyle.
Poor = 0 positive health behaviors, fair = 1 positive health behavior, good ≥2 positive health behaviors.
F test for model.
F test for change in R 2.