Table 4.
Univariate analysis of sleep quality latent profiles
| Variable | High Sleep Status Group (n = 1064) |
Moderate Sleep Status Group(n = 575) | Low Sleep Status Group(n = 47) | Statistic | P-Value |
|---|---|---|---|---|---|
| Gender | 4.868 | 0.088 | |||
| Male | 46(4.32%) | 22(3.83%) | 5(10.64%) | ||
| Female | 1018(95.68%) | 553(96.17%) | 42(89.36%) | ||
| Age | 9.640b | 0.047 | |||
| 20–29 | 382(35.9%) | 205(35.65%) | 26(55.32%) | ||
| 30–39 | 468(43.98%) | 268(46.61%) | 13(27.66%) | ||
| 40+ | 214(20.11%) | 102(17.74%) | 8(17.02%) | ||
| Religious Belief | 4.306 | 0.116 | |||
| No | 1036(97.37%) | 551(95.83%) | 44(93.62%) | ||
| Yes | 28(2.63%) | 24(4.17%) | 3(6.38%) | ||
| Highest Education Level | 3.471 | 0.748 | |||
| Secondary Vocational School | 13(1.22%) | 8(1.39%) | 1(2.13%) | ||
| Junior College | 187(17.58%) | 87(15.13%) | 11(23.4%) | ||
| Bachelor’s Degree | 843(79.23%) | 469(81.57%) | 34(72.34%) | ||
| Master’s Degree or Above | 21(1.97%) | 11(1.91%) | 1(2.13%) | ||
| Marital Status | 38.624 | < 0.001 | |||
|
Unmarried/Divorced/ Widowed |
153(14.38%) | 133(23.13%) | 20(42.55%) | ||
| Married | 911(85.62%) | 442(76.87%) | 27(57.45%) | ||
| Average Monthly Income | 121.928 | < 0.001 | |||
| <3000 RMB | 97(9.12%) | 86(14.96%) | 20(42.55%) | ||
| 3001–5000 RMB | 409(38.44%) | 314(54.61%) | 14(29.79%) | ||
| 5001–7000 RMB | 368(34.59%) | 133(23.13%) | 10(21.28%) | ||
| 7001–9000 RMB | 143(13.44%) | 30(5.22%) | 2(4.26%) | ||
| >9000 RMB | 47(4.42%) | 12(2.09%) | 1(2.13%) | ||
| Number of Children | 25.148b | < 0.001 | |||
| No Children | 320(30.08%) | 140(24.35%) | 26(55.32%) | ||
| One | 563(52.91%) | 312(54.26%) | 17(36.17%) | ||
| Two or More | 181(17.01%) | 123(21.39%) | 4(8.51%) | ||
| Years in Nursing Profession | 13.025 | 0.111 | |||
| 0–5 Years | 286(26.88%) | 146(25.39%) | 20(42.55%) | ||
| 6–10 Years | 328(30.83%) | 193(33.57%) | 11(23.4%) | ||
| 11–15 Years | 172(16.17%) | 96(16.7%) | 8(17.02%) | ||
| 16–20 Years | 111(10.43%) | 62(10.78%) | 0(0.0%) | ||
| 20 + Years | 167(15.7%) | 78(13.57%) | 8(17.02%) | ||
| Years in Current Institution | 10.595 | 0.226 | |||
| 0–5 Years | 351(32.99%) | 181(31.48%) | 21(44.68%) | ||
| 6–10 Years | 311(29.23%) | 186(32.35%) | 10(21.28%) | ||
| 11–15 Years | 160(15.04%) | 83(14.43%) | 8(17.02%) | ||
| 16–20 Years | 97(9.12%) | 55(9.57%) | 0(0.0%) | ||
| 20 + Years | 145(13.63%) | 70(12.17%) | 8(17.02%) | ||
| Department | 3.184b | 0.922 | |||
| Internal Medicine | 285(26.79%) | 155(26.96%) | 14(29.79%) | ||
| Surgery | 249(23.4%) | 123(21.39%) | 13(27.66%) | ||
| Obstetrics and Gynecology | 186(17.48%) | 110(19.13%) | 8(17.02%) | ||
| Pediatrics | 137(12.88%) | 81(14.09%) | 5(10.64%) | ||
| Others | 207(19.45%) | 106(18.43%) | 7(14.89%) | ||
| Professional Title | 29.853 | < 0.001 | |||
| No Title | 47(4.42%) | 23(4.0%) | 6(12.77%) | ||
| Technician Level | 138(12.97%) | 62(10.78%) | 14(29.79%) | ||
| Junior Professional (Initial) | 500(46.99%) | 301(52.35%) | 13(27.66%) | ||
| Intermediate Level | 319(29.98%) | 168(29.22%) | 12(25.53%) | ||
| Associate Senior or Above | 60(5.64%) | 21(3.65%) | 2(4.26%) | ||
| Administrative Position | 35.823 | < 0.005 | |||
| No | 842(79.14%) | 521(90.61%) | 41(87.23%) | ||
| Yes | 222(20.86%) | 54(9.39%) | 6(12.77%) | ||
| On-the-Job Staff Status | 41.426 | < 0.001 | |||
| No | 605(56.86%) | 415(72.17%) | 36(76.60%) | ||
| Yes | 459(43.14%) | 160(27.83%) | 11(23.40%) | ||
| Hospital Level | 5.314b | 0.257 | |||
| Second-Class B and Below | 447(42.01%) | 213(37.04%) | 19(40.43%) | ||
| Third-Class B | 120(11.28%) | 73(12.7%) | 3(6.38%) | ||
| Third-Class A | 497(46.71%) | 289(50.26%) | 25(53.19%) | ||
| Average Weekly Work Hours | 8.767b | 0.067 | |||
| ≤ 40 h | 519(48.78%) | 240(41.74%) | 20(42.55%) | ||
| 41–50 h | 410(38.53%) | 251(43.65%) | 18(38.3%) | ||
| > 50 h | 135(12.69%) | 84(14.61%) | 9(19.15%) | ||
| Monthly Night Shifts | 59.943 | < 0.001 | |||
| ≤ 7 Days | 811(76.22%) | 333(57.91%) | 30(63.83%) | ||
| > 7 Days | 253(23.78%) | 242(42.09%) | 17(36.17%) | ||
| Perceived Respect from Patients | 6.717 | 0.152 | |||
| Disrespected | 56(5.26%) | 38(6.61%) | 2(4.26%) | ||
| Neutral | 453(42.58%) | 244(42.43%) | 28(59.57%) | ||
| Respected | 555(52.16%) | 293(50.96%) | 17(36.17%) | ||
| Experienced Patient/Visitor Violence | 45.908 | < 0.001 | |||
| No | 633(59.49%) | 245(42.61%) | 19(40.43%) | ||
| Yes | 431(40.51%) | 330(57.39%) | 28(59.57%) | ||
| Current Work Environment | 2.123 | 0.713 | |||
| Poor | 216(20.30%) | 127(22.09%) | 12(25.53%) | ||
| Moderate | 542(50.94%) | 278(48.35%) | 24(51.06%) | ||
| Good | 306(28.76%) | 170(29.57%) | 11(23.40%) | ||
| Medical Errors in Past Year | 0.732 | 0.693 | |||
| No | 1038(97.56%) | 557(96.87%) | 46(97.87%) | ||
| Yes | 26(2.44%) | 18(3.13%) | 1(2.13%) | ||
| Psychological Distress | 323.654b | < 0.001 | |||
| Low Distress | 546(51.32%) | 88(15.3%) | 6(12.77%) | ||
| Moderate Distress | 295(27.73%) | 151(26.26%) | 14(29.79%) | ||
| High Distress | 146(13.72%) | 170(29.57%) | 6(12.77%) | ||
| Severe Distress | 77(7.24%) | 166(28.87%) | 21(44.68%) | ||
| Work-Family Conflict | 108.674b | < 0.001 | |||
| Low Conflict | 231(21.71%) | 43(7.48%) | 8(17.02%) | ||
| Moderate Conflict | 546(51.32%) | 249(43.3%) | 15(31.91%) | ||
| High Conflict | 287(26.97%) | 283(49.22%) | 24(51.06%) | ||
| Social Support | 31.597 | < 0.001 | |||
| Low Support | 49(4.61%) | 29(5.04%) | 4(8.51%) | ||
| Moderate Support | 325(30.55%) | 251(43.65%) | 18(38.3%) | ||
| High Support | 690(64.85%) | 295(51.3%) | 25(53.19%) |