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Table 4 Logistic regression model used to calculate the predictors of academic performance

From: The relationship between depression symptoms and academic performance among first-year undergraduate students at a South African university: a cross-sectional study

Variable

aOR (95% CI)

p-value

Standard error

Sex

   

Female

ref

  

Male

1.10 (0.84–1.45)

0.464

0.152

Field of Study

   

Humanities

ref

  

Engineering

9.33 (6.35–13.72)

< 0.001

1.834

Health Sciences

1.56 (0.99–2.52)

0.057

0.378

Commerce, Law and Management

1.17 (0.71–1.90)

0.541

0.291

Science

4.23 (2.88–6.22)

< 0.001

0.831

Race a

   

Black African

ref

  

Coloured

0.93 (0.42–2.06)

0.867

0.377

Indian

0.96 (0.62–1.47)

0.846

0.211

White

0.62 (0.37–1.03)

0.065

0.161

Major depression disorder symptom severity

   

Minimal

ref

  

Mild

1.40 (0.93–2.11)

0.103

0.291

Moderate

1.98 (1.30-3.00)

0.001

0.421

Moderate severe

2.70 (1.70–4.30)

< 0.001

0.639

Severe

2.59 (1.54–4.36)

< 0.001

0.688

High school quintile

   

1

ref

  

2

0.87 (0.49–1.53)

0.621

0.250

3

1.11 (0.66–1.87)

0.695

0.296

4

0.83 (0.49–1.50)

0.579

0.244

5

0.50 (0.30–0.85)

0.010

0.135

Other

0.47 (0.26–0.83)

0.009

0.136

NSFAS financial aid support recipient

   

No

ref

  

Yes

0.67 (0.26–0.83)

0.007

0.100

  1. a Chinese and unknown race categories were dropped due to low number and/or zero exposure in the control population. This table provides adjusted Odds Ratios (aOR) and 95% CI formatted as “OR (lower CI-upper CI)” for each result of logistic regression