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Table 3 Relationship between self-harm and sociodemographic characteristics

From: Dual harm among patients attending a mental health unit in Uganda: a hospital based retrospective study

Variables

Harm

To Self

No

Yes:

n = 107 (3.45%)

P value

Age

33.83, 14.05

32.49, 13.06

0.331

Sex

Female

1,319, 44.16%

43, 40.19%

0430

Male

1,668, 55.84%

64, 59.81%

Marital status

Divorced/Separated/widowed

323, 13.36%

7, 7.37%

0.222

Single

988, 40.86%

40, 42.11%

Married/cohabiting

107, 45.78%

48, 50.53%

Level of education

None

621, 30.74%

19, 26.03%

0411

Primary

613, 30.35%

19, 26.03%

Secondary

474, 23.47%

23, 31.51%

Tertiary

312, 15.45%

12, 16.44%

Occupation

Unemployed

394, 16.74%

16, 18.18%

0.630

Pupil/Student

341, 14.49%

16, 18.18%

Farmer

775, 32.92%

24, 27.27%

Other employment

844, 35.85%

32, 36.36%

Diagnosis

Bipolar

852, 38.41%

12, 15.79%

< 0.001

Schizophrenia

745, 33.59%

20, 26.32%

Depression

146, 6.58%

32, 42.11%

Psychosis secondary to GMC*

198, 8.93%

1, 1.32%

Substance use disorder

277, 12.49%

11, 14.47%

Duration on ward

One week

1,736, 62.00%

64, 62.75%

0.879

Over one week

1,064, 38.00%

38, 37.25%

Family History of mental illness

positive

551, 18.65%

22, 20.56%

0.614

Negative

2,403, 81.35%

85, 79.44%