Table 3.
Hierarchical Binary Logistic Regression Models of Predictors of Dietary Changes and Physical Activity (N = 85)
| Dietary changes | Physical activity | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictor | b | OR [95% CI] | b | OR [95% CI] | b | OR [95% CI] | b | OR [95% CI] | b | OR [95% CI] | b | OR [95% CI] |
| Model 1 | ||||||||||||
| (Constant) | 2.16 | 8.64 | 1.47 | 4.36 | 3.97 | 52.97 | 0.06 | 1.06 | −0.12 | 0.88 | 6.86 | 951.00 |
| Age (years) | −0.08 | 0.93* [0.87–0.99] | −0.07 | 0.94 [0.87–1.00] | −0.14 | 0.87 [0.70–1.08] | −0.04 | 0.97 [0.91–1.02] | −0.04 | 0.96 [0.91–1.02] | −0.28 | 0.75* [0.59–0.97] |
| Malea | −0.41 | 0.66 [0.24–1.84] | −0.47 | 0.62 [0.22–1.76] | 3.00 | 20.06 [0.26–1527.26] | −0.41 | 0.66 [0.26–1.69] | −0.40 | 0.67 [0.26–1.73] | 2.00 | 7.41 [0.11–515.19] |
| Education (years) | 0.12 | 1.13 [0.91–1.40] | 0.11 | 1.11 [0.90–1.38] | 0.21 | 1.23 [0.50–3.01] | 0.10 | 1.11 [0.91–1.34] | 0.10 | 1.10 [0.91–1.34] | 0.66 | 1.93 [0.71–5.20] |
| Time since MCI diagnosis (months) | 0.01 | 1.01 [0.99–1.02] | 0.01 | 1.01 [0.99–1.02] | 0.01 | 1.01 [0.95–1.07] | <0.01 | 1.00 [0.99–1.02] | <0.01 | 1.00 [0.99–1.02] | 0.01 | 1.01 [0.95–1.07] |
| Comorbid conditionsb | 0.18 | 1.20 [0.82–1.75] | 0.11 | 1.11 [0.75–1.66] | −0.47 | 0.63 [0.08–5.10] | 0.18 | 1.20 [0.83–1.72] | 0.17 | 1.18 [0.81–1.73] | 0.14 | 1.15 [0.15–8.64] |
| Model 2 | ||||||||||||
| Coherence | 0.01 | 1.01 [0.91–1.13] | 0.13 | 1.14 [0.93–1.38] | 0.02 | 1.02 [0.93–1.13] | 0.08 | 1.09 [0.89–1.33] | ||||
| Causality | 0.79 | 2.21 [0.63–7.73] | 1.87 | 6.49 [0.38–110.21] | 0.04 | 1.04 [0.31–3.55] | −0.43 | 0.65 [0.02–26.95] | ||||
| Model 3c | ||||||||||||
| Coherence × Age | <0.01 | 1.00 [0.99–1.02] | 0.02 | 1.02* [1.00–1.03] | ||||||||
| Coherence × Male | −0.21 | 0.81 [0.63–1.04] | −0.12 | 0.89 [0.70–1.13] | ||||||||
| Coherence × Education | −0.01 | 0.99 [0.94–1.05] | −0.04 | 0.97 [0.91–1.02] | ||||||||
| Coherence × Time since MCI diagnosis | <−0.01 | 1.00 [0.99–1.00] | <−0.01 | 1.00 [0.10–1.00] | ||||||||
| Coherence × Comorbid conditions | 0.03 | 1.03 [0.91–1.17] | −0.01 | 0.99 [0.88–1.11] | ||||||||
| Causality × Age | −0.02 | 0.98 [0.72–1.32] | −0.15 | 0.86 [0.55–1.35] | ||||||||
| Causality × Male | −1.56 | 0.21 [<0.01–16.79] | −3.28 | 0.04 [<0.01–11.31] | ||||||||
| Causality × Education | 0.35 | 1.41 [0.56–3.60] | 0.10 | 1.12 [0.51–2.41] | ||||||||
| Causality × Time since MCI diagnosis | 0.06 | 1.06 [0.98–1.15] | −0.07 | 0.94 [0.84–1.05] | ||||||||
| Causality × Comorbid conditions | 0.32 | 1.38 [0.43–4.38] | 1.25 | 3.49 [0.78–15.54] | ||||||||
| Model GOF test (Hosmer– Lemeshow, p) | .51 | .22 | .45 | .68 | .98 | .71 | ||||||
| Omnibus test (χ 2 (df), p) | 7.51 (5), .19 | 9.12 (7), .24 | 18.08 (17), .38 | 3.56 (5), .61 | 3.79 (7), .80 | 18.43 (17), .36 | ||||||
| Model predictivity (Nagelkerke R2) | 0.12 | 0.15 | 0.28 | 0.06 | 0.06 | 0.27 |
Note: b = unstandardized regression coefficients; CI = confidence interval; GOF = goodness of fit; OR = odds ratio; MCI = mild cognitive impairment.
aFemale was treated as the reference category for sex.
bThe number of comorbid conditions was calculated with the exception of MCI.
cFor interaction terms, age, years of education, and the number of comorbid conditions were mean centered due to multicollinearity.
*p < .05.