## 3 Results
### Regression Models  
After adjusting for sociodemographic characteristics, gays, lesbians, and bisexual individuals were no more or less likely to have experienced COVID-19 symptoms compared to heterosexual individuals (Table 3). There were some differences by sociodemographic characteristics. For example, women, those of other ethnicity, key workers, and those with diagnosed medical conditions were more likely to have experienced symptoms. Individuals with lower levels of education or who were older were less likely to have experienced any symptoms. The inclusion of an interaction between sexual orientation and gender showed that there were no significant differences in experiences of COVID-19 symptoms by sexual orientation and gender. Heterosexual females had a higher probability (23%) of having experienced COVID-19 symptoms than heterosexual males (18%). There was no statistical difference between gay men and lesbians or between bisexual males and females (Table 4). Additionally, there were no differences in the probability of having experienced COVID-19 symptoms among males of different sexual orientations or among females of different sexual orientations. For example, the probability of having experienced COVID-19 symptoms amongst females was 23% for heterosexual individuals, 20% for lesbians, and 28% for bisexual individuals, however, these were not significantly different. While some of these differences were approaching significance, none were at the 0.05 level, which may have been due to the sample sizes. Similarly, there were no statistical differences in the likelihood of being tested for COVID-19 between gaps or lesbians, bisexual individuals, and heterosexual individuals (Table 5). Similar to the symptoms model, women and key workers were more likely to have been tested. Individuals with lower than degree education or who were of Indian, Pakistani, or Bangladesh ethnicity were less likely to have been tested. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline
**COVID-19 Symptoms** & \multicolumn{3}{c}{**Total**} & \multicolumn{3}{c}{**Men**} & \multicolumn{3}{c}{**Women**} \\ \hline  & **Heterosexual** & **Gay** & **Bisexual** & **Heterosexual** & **Gay** & **Bisexual** & **Heterosexual** & **Lesbian** & **Bisexual** \\  & **(t = 14,310)** & **(t = 260)** & **(t = 243)** & **(t = 6045)** & **(t = 158)** & **(t = 77)** & **(t = 8263)** & **(t = 101)** & **(t = 164)** \\ \hline
**Has had COVID symptoms** & & & & & & & & & \\ \hline No & 11,413 (80) & 188 (75) & 162 (64) & 4954 (83) & 110 (75) & 54 (78) & 6457 (79) & 75 (75) & 107 (61) \\ \hline Yes & 2897 (19) & 72 (25) & 81 (35) & 1091 (17) & 46 (25) & 23 (22) & 1806 (21) & 26 (25) & 57 (39) \\ \hline
**Number of COVID symptoms** & & & & & & & & & \\ \hline No symptoms & 55 (2) & 1 (0) & 2 (2) & 17 (1) & 1 (0) & 0 (0) & 38 (2) & 0 (0) & 2 (4) \\ \hline One symptom & 215 (7) & 1 (2) & 4 (2) & 84 (8) & 1 (4) & 2 (2) & 131 (6) & 0 (0) & 2 (2) \\ \hline Two symptoms & 386 (10) & 8 (14) & 6 (4) & 126 (11) & 8 (21) & 1 (1) & 160 (9) & 0 (0) & 5 (5) \\ \hline Three symptoms & 379 (14) & 10 (15) & 5 (5) & 178 (16) & 6 (17) & 3 (16) & 201 (12) & 4 (11) & 2 (2) \\ \hline Four symptoms & 378(14) & 8 (14) & 5 (12) & 151 (17) & 5 (17) & 1 (3) & 227 (12) & 3 (8) & 3 (3) \\ \hline Five or more symptoms & 1584 (54) & 44 (55) & 59 (76) & 536 (48) & 25 (42) & 16 (78) & 1048 (59) & 19 (81) & 43 (85) \\ \hline
**Tested for Coronavirus** & & & & & & & & & \\ \hline No & 10,044 (72) & 165 (70) & 162 (65) & 4447 (76) & 96 (68) & 58 (82) & 5596 (69) & 69 (76) & 103 (58) \\ \hline Yes & 4265 (28) & 94 (30) & 81 (35) & 1597 (24) & 62 (32) & 19 (18) & 2667 (31) & 31 (24) & 61 (42) \\ \hline
**Hospitalised due to COVID symptoms** & & & & & & & & & \\ \hline No & 13,675 (96) & 250 (97) & 229 (96) & 5820 (97) & 152 (97) & 74 (99) & 7853 (95) & 97 (97) & 153 (94) \\ \hline Yes & 604 (4) & 10 (3) & 11 (4) & 216 (3) & 6 (3) & 2 (1) & 388 (5) & 4 (3) & 9 (6) \\ \hline \hline \end{tabular}  
* Raw numbers and weighted percentages in parentheses.  
\end{table}