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Table 7 Relation between digital harassment and sociodemographic characteristics of the harassed study participants (n = 283)

From: Technology facilitated sexual violence: a comparative study between working and non-working females in Egypt before and during the COVID-19 pandemic

 

Harassed

Not harassed

P value

Age (in years) (mean ± SD)

29.9 ± 8.5

29.8 ± 8.6

0.859€

Working status

 Working

84(53.5%)

73(46.5%)

0.167¶

 Not working

57(45.2%)

69(54.8%)

Type of working institute

 Governmental

42(47.2%)

47(52.8%)

0.088¶

 Private

34(58.6%)

24(41.4%)

 Self employed

8(80.0%)

2(20.0%)

Duration of work (in years) (mean ± SD)

11.4 ± 7.0

11.2 ± 6.4

0.947€

Living conditions

 Family mother and father

69(48.6%)

73(51.4%)

0.025*

 Room matehs

12(80.0%)

3(20.0%)

 Husband and kids

50(44.6%)

62(55.4%)

 Alone

10(71.4%)

4(28.6%)

Education

 Primary

2(100.0%)

0(0.0%)

0.577¶

 Secondary

2(66.7%)

1(33.3%)

 University

91(50.0%)

91(50.0%)

 Postgraduate

46(47.9%)

50(52.1%)

Social status

 Single

71(51.4%)

67(48.6%)

0.022*¶

 In relationship/dating

14(56.0%)

11(44.0%)

 Married

47(43.5%)

61(56.5%)

 Divorced

9(90.0%)

1(10.0%)

 Widow

0(0.0%)

2(100.0%)

Hours spent on the Internet

 Before COVID-19 lockdown (mean ± SD)

4.8 ± 3.1

4.6 ± 2.9

0.844€

 During COVID-19 lockdown (mean ± SD)

8.1 ± 4.2

7.1 ± 3.7

0.077€

The amount of personal information (photos, details of personal life) that exists online

 None

14(38.9%)

22(61.1%)

0.538¶

 A little

59(50.0%)

59(50.0%)

 Some

53(53.0%)

47(47.0%)

 A lot

15(51.7%)

14(48.3%)

  1. * Statistically significant at p value<0.05
  2. € Mann-Whitney test
  3. ¶ Chi-square test