| Literature DB >> 32716895 |
Xiaojin He1, Yunxia Cao1, Guanjian Li1, Dongdong Tang1, Bing Song2, Chao Wang2, Shen Qunshan2, Chuan Xu2, Hao Geng1, Huan Wu2.
Abstract
BACKGROUND: In the past few months, the coronavirus disease (COVID-19) pandemic has caused extensive economic and social damage.Entities:
Keywords: COVID-19; China; novel coronavirus; reproductive health; sexual behavior; sexual health; survey; young adults; youth
Mesh:
Year: 2020 PMID: 32716895 PMCID: PMC7419154 DOI: 10.2196/20961
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Participants’ demographic characteristics (N=967).
| Characteristic | Total (N=967), n (%) | Male (n=541), n (%) | Female (n=426), n (%) |
| ||
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| 2.26 | .13 | ||||
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| 15-25 | 389 (40) | 229 (43) | 160 (36) |
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| 25-35 | 578 (60) | 312 (57) | 266 (64) |
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| 3.10 | .21 | ||||
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| College or below | 491 (47) | 263 (45) | 228 (50) |
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| Bachelor | 405 (42) | 240 (44) | 165 (40) |
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| Master or above | 71 (10) | 38 (11) | 33 (10) |
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| 21.15 | <.001 | ||||
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| Fine | 221 (23) | 134 (25) | 87 (20) |
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| Unchanged | 330 (34) | 151 (28) | 179 (42) |
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| Deteriorated | 416 (43) | 256 (47) | 160 (38) |
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| 2.76 | .25 | |
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| Fine | 282 (29) | 154 (28) | 128 (30) |
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| General | 610 (63) | 351 (65) | 259 (61) |
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| Poor | 75 (8) | 36 (7) | 39 (9) |
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| 0.51 | .77 | ||||
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| Campus dormitory | 416 (43) | 229 (42) | 187 (44) |
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| House with parents | 348 (36) | 200 (37) | 148 (35) |
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| House without parents | 203 (21) | 112 (21) | 91 (21) |
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| 1.37 | .24 | ||||
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| House with parents | 706 (73) | 403 (74) | 303 (71) |
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| House without parents | 261 (27) | 138 (26) | 123 (29) |
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Coronavirus disease (COVID-19)–related impact on sexual health (N=967).
| Items | Total (N=967) | In an exclusive relationship (n=665), n (%) | Not in an exclusive relationshipa (n=302), n (%) |
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| 40.76 | <.001 | |
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| Fine | 205 (21) | 133 (20) | 72 (24) |
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| General | 464 (48) | 285 (43) | 179 (59) |
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| Deteriorated | 298 (31) | 247(37) | 51 (17) |
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| 42.52 | <.001 | |
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| Fine | 126 (13) | 86 (13) | 40 (13) |
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| General | 629 (65) | 395 (59) | 234 (77) |
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| Deteriorated | 212 (22) | 184 (28) | 28 (09) |
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| 153.38 | <.001 | |
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| Increased | 223 (23) | 175 (26) | 48 (16) |
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| Unchanged | 348 (36) | 304 (46) | 44 (15) |
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| Decreased | 396 (41) | 186 (28) | 210 (70) |
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| 33.19 | <.001 | |
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| Increased | 115 (12) | 54 (8) | 61 (20) |
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| Unchanged | 709 (73) | 498 (75) | 211 (70) |
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| Decreased | 143 (15) | 113 (17) | 30 (10) |
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| 132.01 | <.001 | ||||
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| Increased | 58 (6) | 44 (7) | 14 (5) |
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| Unchanged | 717 (74) | 555 (83) | 162 (54) |
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| Decreased | 192 (20) | 66 (10) | 126 (42) |
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| 21.99 | <.001 | |
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| Increased | 291 (30) | 189 (28) | 102 (34) |
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| Unchanged | 261 (27) | 206 (31) | 55 (18) |
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| Decreased | 106 (11) | 78 (12) | 28 (9) |
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| None | 309 (32) | 192 (29) | 117 (39) |
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| 30.71 | <.001 | ||||
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| Increased | 227 (23) | 123 (19) | 104 (34) |
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| Unchanged | 330 (34) | 242 (36) | 88 (29) |
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| Decreased | 115 (12) | 89 (13) | 26 (9) |
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| None | 295 (31) | 211 (32) | 84 (28) |
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| 5.25 | .07 | |
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| Increased | 97 (10) | 61 (9) | 36 (12) |
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| Unchanged | 735 (76) | 501 (75) | 234 (77) |
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| Decreased | 135 (14) | 103 (16) | 32 (11) |
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| 18.87b | <.001 | |
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| Increased | 4 (1) | 3 (1) | 1 (1) |
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| Unchanged | 76 (8) | 55 (8) | 21 (7) |
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| Decreased | 94 (010) | 46 (7) | 48 (16) |
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| None | 793 (82) | 561 (84) | 232 (77) |
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aChi-square test was performed between the exclusive relationship group and nonexclusive relationship group.
bThe “increased” data were merged with the “unchanged” data.
Risk factors related to partner relationships determined by the logistic regression analysis.
| Variable | Univariate analysis | Multivariate analysis | ||
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| ORa | 95% CI | ||
| Age (year) | .03 | 1.38 | .41 | 1.13-1.80 |
| Education level | .66 | —b | — | — |
| Current financial situation | .16 | — | — | — |
| Self-rated health | .02 | 1.85 | .19 | 1.37-2.63 |
| Accommodations (before pandemic) | .21 | — | — | — |
| Accommodations (during pandemic) | .02 | 0.59 | .046 | 0.30-0.86 |
| In/not in an exclusive relationship | <.001 | 0.44 | <.001 | 0.27-0.73 |
| Sexual desire | .002 | 2.01 | .02 | 1.38-2.97 |
| Sexual satisfaction | <.001 | 1.92 | <.001 | 1.54-2.50 |
| Alcohol consumption before or during sexual activities | .36 | — | — | — |
| Frequency of masturbation | .005 | 0.63 | .21 | 0.46-0.88 |
| Frequency of pornography use | .29 | — | — | — |
| Proportion of condom use | .52 | — | — | — |
| Risky sexual behaviors | .41 | — | — | — |
aOR: odds ratio.
bNot applicable.
Figure 1Self-reported coronavirus disease (COVID-19)–related impact among respondents.