Table 4.
Percentage of participants who did not adhere to all SD rules and those who did by categorical explanatory variable
| 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% |
aStatistically significant association