Skip to main content

Table 2 Logistic regression models with depression and anxiety as outcome variables for the whole sample

From: Do people living in disadvantaged circumstances receive different mental health treatments than those from less disadvantaged backgrounds?

Independent variable

B

S.E.

p-value

Exp (B)

95% Confidence Intervals for Exp(B)

Depression

Constant

1.239

.269

.000

3.453

  

IMD Quintile 1

−1.306

.386

.001

.271

.127

.577

IMD Quintile 2

−.888

.424

.036

.412

.179

.945

IMD Quintile 3

−1.160

.389

.003

.313

.146

.672

IMD Quintile 4

−.160

.181

.378

.852

.598

1.216

Age

−.031

.004

.000

.970

.962

.978

Gender

−.189

.132

.154

.828

.639

1.073

Living alone

−.409

.146

.005

.664

.499

.884

Education

−.275

.160

.084

.759

.555

1.308

Anxiety

Constant

.972

.286

.001

2.527

  

IMD Quintile 1

−1.988

.598

.001

.137

.042

.442

IMD Quintile 2

−1.919

.732

.009

.147

.035

.616

IMD Quintile 3

−.655

.374

.080

.519

.250

1.080

IMD Quintile 4

.062

.188

.740

1.064

.736

1.538

Age

−.033

.005

.000

.968

.959

.977

Gender

−.151

.143

.289

.860

.650

1.137

Living alone

−.339

.157

.030

.712

.524

.968

Education

−.341

.175

.051

.711

.505

1.001

  1. Note: IMD Quintiles compared to Quintile 5 (most disadvantaged), p-values in bold indicate significance
Back to article page

BMC Public Health

ISSN: 1471-2458

Contact us