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Table 4 Crude and adjusted Multiple binary logistic regression models to predict variables associated with good HRQoL (≥64 points) of institutionalized elderly. Variables with statistically significant Odds Ratio (OR) impacted negatively the HRQoL score

From: Physical and psychological states interfere with health-related quality of life of institutionalized elderly: a cross-sectional study

CRUDE MODEL

B

S.E.

p-value

OR

95% C.I.

Lower

Upper

Age (years)

0.036

0.0346

0.299

1.037

0.969

1.109

Sex (male)

0.133

0.5169

0.797

1.142

0.415

3.146

Education (higher)

−0.694

0.6028

0.250

0.500

0.153

1.629

Retirement (yes)

−2.786

0.9543

0.004

0.062

0.010

0.400

Family visits (yes)

1.151

0.6742

0.088

3.161

0.843

11.849

Independent elderly

0.230

0.7914

0.771

1.259

0.267

5.939

Not-frail elderly

1.524

0.5551

0.006

4.589

1.546

13.622

MNA-SF score

0.089

0.0755

0.240

1.093

0.942

1.267

GOHAI score

0.023

0.0415

0.571

1.024

0.944

1.110

GDS score

−0.350

0.1073

0.001

0.705

0.571

0.870

MMSE score

0.056

0.0703

0.429

1.057

0.921

1.213

ADJUSTED MODEL*

B

S.E.

p-value

OR

95% C.I.

Lower

Upper

Retirement (yes)

−2.248

0.9418

0.017

0.106

0.017

0.669

Family visits (yes)

0.968

0.5901

0.101

2.633

0.828

8.371

Not-frail elderly

1.376

0.5066

0.007

3.959

1.467

10.686

MNA-SF score

0.091

0.0677

0.180

1.095

0.959

1.250

GDS score

−0.349

0.1098

0.001

0.705

0.569

0.874

  1. * Model adjustment after progressive removal of variables: Sex (p = 0.797), Dependency (p = 0.788), GOHAI (p = 0.570), MMSE (p = 0.410), Age (p = 0.357) and Education (p = 0.311). Omnibus test significance: p < 0.001