Skip to main content

Table 4 Percentage of participants who did not adhere to all SD rules and those who did by categorical explanatory variable

From: Factors associated with non-adherence to social distancing rules during the COVID-19 pandemic: a logistic regression analysis

Explanatory Variables

Adherence (n)

Adherence (%)

Non-Adherence (n)

Non- Adherence (%)

Sample

49

7%

632

93%

Demographic Factors

 Gender

  Female

42

7.4%

522

92.6%

  Male

5

4.5%

106

95.5%

  Other

2

33.3%

4

66.7%

 Ethnicity

  White

41

7%

542

93%

  BAME

8

8.2%

90

91.8%

 Language

  English as First Language

43

7.4%

539

92.6%

  English Not as First Language

6

6.1%

93

93.9%

 Religion

  No Religion

24

5.7%

396

94.3%

  Christian

15

9.7%

139

90.3%

  Buddhist

1

11.1%

8

88.9%

  Hindu

1

33.3%

2

66.7%

  Jewish

4

7.5%

49

92.5%

  Muslim

1

7.1%

13

92.9%

  Sikh

0

0%

2

100%

  Other

3

11.5%

23

88.5%

 Highest Qualification Obtained

  Doctoral Degree

1

2.6%

38

97.4%

  Masters Degree

11

5.6%

187

94.4%

  Professional Qualification

7

8.6%

74

91.4%

  Bachelors Degree

22

9.3%

214

90.7%

  Vocational / Work-related Qualification

6

15%

34

85%

  A Levels or equivalent

0

0%

44

100%

  GCSEs or equivalent

1

3.3%

29

96.7%

  No Qualifications

1

7.7%

12

92.3%

 Employment Statusa

  Long-term sick or disabled

5

17.9%

23

82.1%

  Retired

13

23.2%

43

76.8%

  Working as an employee from home

13

4.9%

255

95.1%

  Self-employed or freelance from home

5

7.6%

61

92.4%

  Looking after home or family

4

13.8%

25

86.2%

  Unemployed

1

2.8%

35

97.2%

  A furloughed employee

3

4.7%

61

95.3%

  A student

1

5%

19

95%

  Working as an employee in my normal place of work (not home)

1

1.5%

66

98.5%

  Self-employed or freelance in my normal place of work (not home)

0

0%

16

100%

  Other

3

9.7%

28

90.3%

 Key Worker Status

  Not Key Worker

43

8.1%

485

91.9%

  Key Worker

6

3.9%

147

96.1%

Housing Factors

 Housing Situationa

  Live in Own Home

34

9.7%

315

90.3%

  Live in Rented Home

13

5.2%

237

94.8%

  Live in Rented Room of Multiple Occupancy House

2

2.4%

80

97.6%

 Living with a Vulnerable Persona

  Living with Person of Vulnerable Health Status

14

13.5%

90

86.5%

  Not Living with Person of Vulnerable Health Status

35

6.1%

542

93.9%

Health Factors

 Vulnerable Healtha

  Vulnerable

19

18.6%

83

81.4%

  Not Vulnerable

30

5.2%

549

94.8%

 COVID-19 Symptoms

  Not Had

37

7.8%

435

92.2%

  Had

12

5.7%

197

94.3%

Political Factors

 2019 General Election

  Voted for Government

6

9.8%

55

90.2%

  Did Not Vote for Government

43

6.9%

577

93.1%

 Lockdown Phase

  Total Lockdown

17

6.6%

242

93.4%

  Overlap of Total and First Relaxation

14

5.5%

241

94.5%

  First Relaxation

18

10.8%

149

89.2%

Social Factors

 Financial Support

  Getting Financial Support if Needed

38

7%

507

93%

  Not Getting Financial Support If Needed

11

8.1%

125

91.9%

 Community Support

  Getting Community Support if Needed

43

7.2%

556

92.8%

  Not Getting Community Support If Needed

6

7.3%

76

92.7%

  1. aStatistically significant association