| Literature DB >> 33203737 |
Jacqueline Coombe1, Fabian Yuh Shiong Kong2, Helen Bittleston2, Henrietta Williams2,3, Jane Tomnay4, Alaina Vaisey2, Sue Malta2,5, Jane L Goller2, Meredith Temple-Smith6, Louise Bourchier2, Andrew Lau2, Eric P F Chow2,3,7, Jane S Hocking2.
Abstract
INTRODUCTION: Australia recorded its first case of COVID-19 in late January 2020. On 22P March 2020, amid increasing daily case numbers, the Australian Government implemented lockdown restrictions to help 'flatten the curve'. Our study aimed to understand the impact of lockdown restrictions on sexual and reproductive health. Here we focus on sexual practices.Entities:
Keywords: infectious diseases; sexual behaviour; sexual health
Mesh:
Year: 2020 PMID: 33203737 PMCID: PMC7670557 DOI: 10.1136/sextrans-2020-054688
Source DB: PubMed Journal: Sex Transm Infect ISSN: 1368-4973 Impact factor: 3.519
Sociodemographic characteristics of survey participants
| Variable | n/N | % |
| Male | 247/962 | 25.7 |
| Female | 673/962 | 70.0 |
| Gender diverse | 42/962 | 4.4 |
| 18–29 | 636/959 | 66.3 |
| 30+ | 323/959 | 33.7 |
| In a relationship and cohabitating | 346/960 | 36.0 |
| In a relationship but not cohabitating | 248/960 | 25.8 |
| Single | 329/960 | 34.3 |
| Other | 37/960 | 3.4 |
| Heterosexual/straight | 632/962 | 65.7 |
| Men who have sex with men (MSM) | 85/962 | 8.8 |
| Women who have sex with women (WSW) | 197/962 | 20.5 |
| Other | 48/962 | 5.0 |
| Australia | 783/946 | 82.7 |
| Other | 163/946 | 17.3 |
| Yes | 26/951 | 2.7 |
| Primary/secondary school | 254/958 | 26.5 |
| Certificates/diplomas/apprenticeships | 144/958 | 15.0 |
| University | 560/958 | 58.5 |
| Employed (including full time, part time and casual) | 769/959 | 80.2 |
| Student | 326/959 | 34.0 |
| Unemployed and looking for work** | 27/959 | 2.8 |
| Other¶ | 48/959 | 5.0 |
| Employed (including full time, part time and casual) | 606/956 | 63.4 |
| Student | 287/956 | 30.0 |
| Stood down due to COVID-19 and/or unemployed looking for work** | 135/956 | 14.1 |
| Other¶ | 58/956 | 6.1 |
| Australian Capital Territory/Northern Territory | 21/949 | 2.2 |
| New South Wales | 147/949 | 15.5 |
| Queensland | 118/949 | 12.4 |
| South Australia | 62/949 | 6.5 |
| Tasmania | 25/949 | 2.6 |
| Victoria | 493/949 | 52.0 |
| Western Australia | 83/949 | 8.8 |
| Yes, tested negative | 78/958 | 8.1 |
| Yes, waiting on results | 10/958 | 1.0 |
| No | 870/958 | 90.7 |
n=number who answered the question; denominator is not always 965 because of missing data.
*Gender diverse includes transgender and non-binary.
†‘In a relationship’ includes those who selected married/de facto/boyfriend/girlfriend/living apart together or long distance relationship; ‘cohabitating’ defined as living with partner/s; ‘single’ includes those who selected single/divorced/widowed (and did not select another relationship); ‘other’ includes people who selected polyamorous or multiple partners (and did not select another relationship option, such as single), and those who indicated in comments that they were casually dating, but not exclusive.
‡MSM includes bisexual and trans men; WSW includes bisexual and trans women; other includes asexual and non-binary respondents and those who selected ‘something else’.
§Participants can be in multiple categories.
¶Includes retired, parent/carer, disability support pension and unemployed but not looking for work.
**Excluding students.
Figure 1Impact of COVID-19 on frequency of sex practices stratified by those reporting less or no sex versus the same or more sex during lockdown. *Based on all participants; †based on those reporting sex during lockdown.
Use of dating apps and online dating in lockdown compared with 2019
| Variable | Used apps in 2019, | Used apps since lockdown, n/N (%) | Difference (95% CI) † |
| 406/965 (42.1) | 260/953 (27.3) | −14.8 (−17.6 to −11.9) | |
| Male | 117/247 (47.4) | 85/241 (35.3) | −12.1 (−17.3 to −6.9) |
| Female | 270/673 (40.1) | 162/669 (24.2) | −15.9 (−19.4 to −12.4) |
| Gender diverse* | 18/42 (42.9) | 13/41 (31.7) | −11.1 (−24.6 to 2.3) |
| 18–29 | 309/635 (48.7) | 193/627 (30.8) | −18.0 (−21.8 to −14.1) |
| 30+ | 96/323 (29.7) | 67/320 (20.9) | −8.8 (−5.1 to −12.4) |
| Heterosexual | 221/632 (35.0) | 152/624 (24.3) | −10.6 (−13.9 to −7.3) |
| MSM | 61/91 (67.0) | 40/89 (44.9) | −22.1 (−31.2 to −13.0) |
| WSW | 107/201 (53.2) | 55/201 (27.4) | −25.9 (−33.0 to −18.8) |
| Other | 15/38 (39.5) | 12/37 (32.4) | −7.0 (−22.3 to 8.2) |
| In a relationship and cohabitating | 71/346 (20.5) | 25/344 (7.3) | −13.3 (−16.8 to −9.7) |
| In a relationship but not cohabitating | 88/248 (35.5) | 20/245 (8.2) | −27.3 (−33.5 to −21.1) |
| Single | 220/329 (66.9) | 198/325 (60.9) | −5.9 (−11.0 to −0.1) |
| Other | 25/37 (67.6) | 17/36 (47.2) | −20.3 (−39.0 to −1.7) |
*Gender diverse includes trans and non-binary.
†The difference in proportions lockdown-2019; calculated from logistic regression model.
‡MSM=men who have sex with men (including bisexual men); WSW=women who have sex with women (including bisexual women); other=asexual and non-binary and those who selected ‘something else’.
§‘In a relationship’ includes those who selected married/de facto/boyfriend/girlfriend/living apart together or long distance relationship; ‘cohabiting’ defined as living with partner/s; single includes those who selected single/divorced/widowed (and did not select another relationship); other includes people who selected polyamorous or multiple partners (and did not select another relationship option, such as single) and those who indicated in comments that they were casually dating but not exclusive.
Figure 2Use of dating/hook-up apps or websites in 2019 and during lockdown.