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. 2024 Jan 19;131(9):1497–1505. doi: 10.1017/S0007114524000175

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.