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Table 4 Multinomial logistic regression analysis of the relationship between different variables and different severity of depression as compared to not depressed. (n = 280)

From: Unrecognized geriatric depression in the emergency Department of a Teaching Hospital in Nepal: prevalence, contributing factors, and metric properties of 5 item geriatric depression scale in this population

Variables

Mild depression vs no depression

OR (95% CI)

P-value

Severe depression vs no depression

OR (95% CI)

P-value

Gender

 Female

1

0.756

1

0.087

 Male

1.09 (.617–1.943)

0.358 (.110–1.161)

Occupation

 Not employed

1

0.149

1

0.768

 Employed

0.606 (.306–1.197)

0.854 (.299–2.437)

Disability

 Needs support

1

0.699

1

0.183

 On their own

1.13 (.608–2.099)

0.426 (.121–1.496)

Self-perceived financial resource

 Not enough

1

0.853

1

0.248

 enough

1.091 (.432–2.757)

.493 (.149–1.635)

Self-perceived mind and heart disease

 Absent

1

0.295

1

0.217

 Present

2.455 (.458–13.170)

5.316 (.375–75.301)

Disturbed sleep

 No

1

0.006

1

0.504

 Yes

2.326 (1.275–4.244)

1.411 (.514–3.877)

Visit to local healer

 Yes

1

0.003

1

0.019

 no

0.072 (2.326–1.275)

0.04 (.003–.595)

MSK disease

 Present

1

0.594

1

0.609

 Absent

1.266 (.532–3.009)

.734 (.224–2.402)

Frequency of pain during last week

1.019 (.864–1.201)

0.827

1.318 (1–1.737)

0.05

Frequency of ED visits in last year

1.062 (.948–1.191)

0.3

1.111 (.942–1.310)

0.212

  1. Significant P-values are bolded