## 3 Results
### COVID-19 Results  
The proportions of individuals who experienced COVID-19 symptoms, testing, or hospitalisation differed by sexual orientation (Table 2). A larger proportion of sexual minorities experienced symptoms compared to heterosexual individuals. While the number of symptoms experienced was similar between heterosexual and gay or lesbian respondents, bisexual individuals reported experiencing a greater number of symptoms. Similarly, gaps and lesbians were no more or less likely to report having been tested, however, a larger proportion of bisexual individuals were tested. There was no apparent difference in the proportion of individuals who had been hospitalised by sexual orientation. Again, there were differences by gender. While bisexual men had similar proportions of individuals who had experienced COVID-19 symptoms, a larger proportion of bisexual women had experienced symptoms compared to either heterosexual women or lesbians. A larger proportion of lesbian and bisexual women experienced five or more symptoms compared to heterosexual women. While a larger proportion of gay men were hospitalised, a smaller  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline
**Sociodemographic Characteristics** & \multicolumn{3}{c}{**Total**} & \multicolumn{3}{c}{**Men**} & \multicolumn{3}{c}{**Women**} \\ \cline{2-10}  & **Heterosexual (\(\mathbf{n}\) = 17,400)** & **Gay or Lesbian (\(\mathbf{n}\) = 234)** & **Bisexual (\(\mathbf{n}\) = 293)** & **Heterosexual (\(\mathbf{n}\) = 7265)** & **Gay (\(\mathbf{n}\) = 193)** & **Bisexual (\(\mathbf{n}\) = 93)** & **Heterosexual (\(\mathbf{n}\) = 10,132)** & **Lesbian (\(\mathbf{n}\) = 130)** & **Bisexual (\(\mathbf{n}\) = 198)** \\ \hline \multicolumn{10}{c}{**Highest educational qualification**} \\ \hline Degree & 5980 (28) & 159 (49) & 113 (28) & 2172 (29) & 74 (49) & 36 (36) & 1997 (27) & 51 (51) & 61 (26) \\ \hline A-level or similar & 5771 (34) & 88 (31) & 100 (46) & 1995 (35) & 47 (31) & 24 (46) & 2480 (34) & 28 (32) & 55 (49) \\ \hline GCSE or lower & 4695 (38) & 50 (20) & 55 (26) & 1606 (36) & 27 (21) & 12 (18) & 2918 (39) & 17 (17) & 34 (25) \\ \hline \multicolumn{10}{c}{**Ethnicity**} \\ \hline White BBITSH & 14,619 (88) & 293 (94) & 223 (82) & 5156 (87) & 137 (93) & 54 (80) & 6926 (88) & 96 (97) & 128 (82) \\ \hline Black African/Caribbean & 454 (6) & 2 (0) & 2 (1) & 110 (2) & 1 (0) & 0 (0) & 234 (2) & 1 (0) & 2 (1) \\ \hline Indian/Pakistan/Bangladeshi & 1103 (4) & 3 (0) & 23 (5) & 386 (5) & 2 (1) & 12 (13) & 485 (4) & 0 (0) & 9 (1) \\ \hline Other ethnicity & 1090 (6) & 25 (5) & 40 (13) & 346 (6) & 18 (6) & 11 (7) & 564 (6) & 23 (3) & 23 (16) \\ \hline
**Keyworker** & & & & & & & & & \\ \hline No & 11,851 (73) & 201 (71) & 200 (79) & **4434** (76) & 113 (78) & 58 (80) & 5178 (71) & 54 (56) & 111 (77) \\ \hline \multicolumn{10}{c}{**Yes**} & 4588 (27) & 107 (29) & 68 (21) & 1306 (24) & 38 (22) & 16 (20) & 2372 (29) & 41 (44) & 40 (23) \\ \hline \multicolumn{10}{c}{**Diagnosed medical condition**} \\ \hline No & 6938 (40) & 113 (36) & 128 (47) & 2369 (42) & 62 (37) & 33 (48) & (38) & 32 (35) & 77 (44) \\ \hline Yes & 10,462 (60) & 211 (64) & 165 (53) & 3676 (58) & 96 (64) & 44 (52) & 5026 (62) & 69 (65) & 87 (56) \\ \hline
**Mean age** & 49.98 & 44.54 & 33.02 & 49.87 & 45.06 & 36.62 & 50.09 & 43.42 & 31.12 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Individual sociodemographic characteristics by sexual orientation and gender \({}^{\star}\).  
proportion of lesbians were hospitalised compared to heterosexual men or women, respectively. Conversely, a smaller proportion of bisexual men were hospitalized, while a larger proportion of bisexual women were hospitalised compared to heterosexual men or women, gay men, or lesbians.