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Table 4 Logistic regression models for classification of nutritional risk. Outcome variable is “at risk of malnutrition” and “malnourished”, according to MNA-SF classification

From: High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey

Variables

B

S.E.

Wald

df

Sig.

OR

95 % CI for OR

Lower

Upper

Model 1

Step 4a

Gender: male vs female

.521

.157

11.018

1

.001

1.684

1.238

2.291

Income: <R1600 vs ≥ R1600

.355

.141

6.300

1

.012

1.425

1.081

1.880

Household (HH) size: ≥5 vs <5

.280

.134

4.396

1

.036

1.324

1.018

1.720

Not walking outside to the shops (vs yes)

.643

.200

10.308

1

.001

1.901

1.284

2.815

Constant

−.621

.152

16.787

1

.000

0.537

  

Model 2

Step 5b

Gender: male vs female

.592

.163

13.275

1

.000

1.808

1.315

2.486

Not walking outside to the shops (vs yes)

.460

.210

4.808

1

.028

1.584

1.050

2.389

Not performing heavy household tasks (vs yes)

.267

.145

3.417

1

.065

1.307

.984

1.735

Depressed (vs not depressed)

1.031

.135

58.508

1

.000

2.803

2.153

3.650

Constant

−.656

.117

31.384

1

.000

.519

  
  1. aVariables entered in step 1: age, gender, income, HH size, poor oral health, walking outside to the shops, performing heavy household tasks
  2. bVariables entered in step 1: age, gender, income, HH size, poor oral health, walking outside to the shops, performing heavy household tasks and depression