Table 2.
Multivariate logistic regression model for the associating factor of poor nutrition (95 % confidence intervals)
Variables | Model 1* | Model 2† | ||||
---|---|---|---|---|---|---|
Adjusted OR | 95 % CI | Adjusted P | Adjusted OR | 95 % CI | Adjusted P | |
Income (Pound) | ||||||
< 110 | 4·07 | 1·14, 14·54 | 0·03 | 4·66 | 1·28, 16·98 | 0·02 |
110–331 | 7·22 | 1·66, 31·50 | 0·009 | 7·80 | 1·74, 34·89 | 0·007 |
332–551 | 3·67 | 0·75, 17·91 | 0·11 | 4·39 | 0·87, 22·28 | 0·07 |
Employment | ||||||
Unemployment | 3·75 | 1·37, 10·23 | 0·01 | 4·23 | 1·51, 11·85 | 0·006 |
Cognitive impairment | ||||||
Yes | 4·40 | 1·35, 14·33 | 0·01 | 5·28 | 1·56, 17·93 | 0·008 |
Co-morbidities | ||||||
≥ 3 | 0·85 | 0·35, 2·08 | 0·72 | |||
Glycaemic controlled | ||||||
Well controlled | 0·47 | 0·18, 1·23 | 0·12 | |||
Model 1: In multivariate logistic regression, forward (LR) variable selection method was used. Age, income, education, occupation, cognitive impairment, co-morbidities, polypharmacy, chronic pain, bADL impairment, iADL impairment and glycaemic control were adjusted for in the model.
Model 2: The model used the variables selection method. Income, occupation, cognitive impairment, co-morbidities and glycaemic control were adjusted for in the model.