| Literature DB >> 35813566 |
Hui Wu1, Wanying Su1, Shengtao Huang1, Yili Xiao1, Liang Lu1.
Abstract
Objectives: This study aims to investigate the relationship between preoperative sleep disturbance and postoperative pain in patients with a rotator cuff tear, and to provide a theoretical basis for taking corresponding interventions to alleviate postoperative pain in patients with rotator cuff tear.Entities:
Keywords: arthroscopy; clinical psychology; post-operative pain; pre-operative sleep disturbance; rotator cuff tear
Year: 2022 PMID: 35813566 PMCID: PMC9256931 DOI: 10.3389/fnint.2022.942513
Source DB: PubMed Journal: Front Integr Neurosci ISSN: 1662-5145
Comparison of general data of patients in two groups (n = 87).
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| Age ( | 58.20 ± 9.87 | 59.77 ± 8.68 | t = 0.704 | 0.483 | |
| Gender | Male | 21 (34.4) | 9 (34.6) | χ2 = 0.000 | 0.986 |
| Female | 40 (65.6) | 17 (65.4) | |||
| BMI/(kg·m2) | 23.19 ± 2.18 | 24.28 ± 2.75 | T = 1.718 | 0.089 | |
| Educational level [ | Primary education | 30 (49.2) | 9 (34.6) | Z = −1.036 | 0.300 |
| Junior high education | 11 (18.0) | 6 (23.1) | |||
| High school and post-secondary education | 9 (14.8) | 6 (23.1) | |||
| College degree or above | 11 (18.0) | 5 (19.2) | |||
| Marital status | Married | 59 (96.7) | 26 (100) | Z = −0.929 | 0.353 |
| Single | 1 (1.6) | 0 | |||
| Widowed | 1 (1.6) | 0 | |||
| Smoking | Yes | 5 (8.2) | 6 (23.1) | χ2 = 3.655 | 0.056 |
| No | 56 (91.8) | 20 (76.9) | |||
| Drinking | Yes | 8 (13.1) | 5 (19.2) | χ2 = 0.537 | 0.464 |
| No | 53 (86.9) | 21 (80.8) | |||
| Comorbidity | Yes | 41 (67.2) | 16 (61.5) | Z = −0.901 | 0.367 |
| No | 20 (32.8) | 10 (38.5) |
Pain scores of patients in two groups at different time points after surgery (n = 87).
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| High sleep quality group | 3.269 ± 1.282 | 2.577 ± 0.987 | 2.885 ± 1.143 |
| Low sleep quality group | 4.082 ± 1.646 | 3.246 ± 1.164 | 3.426 ± 1.117 |
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| 0.028 | 0.012 | 0.043 |
P < 0.05.
Sleep quality and pain degree of patients in two groups at 1 month after surgery (n = 87).
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| High sleep quality group | 5.923 ± 1.623 | 21 (80.8) | 5 (19.2) |
| Low sleep quality group | 8.492 ± 2.605 | 31 (50.8) | 30 (49.2) |
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| 0.000 | 0.009 | |
P < 0.01.
Univariate analysis of moderate or above pain at 1 month after surgery (n = 87).
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| Preoperative sleep disturbance | 31 | 30 | 0.009 | |
| Gender | Male | 18 | 12 | 0.975 |
| Female | 34 | 23 | ||
| Age (year, | 57.924 ± 8.562 | 59.743 ± 10.799 | 0.389 | |
| BMI (kg·m2, | 23.742 ± 2.917 | 23.188 ± 2.421 | 0.356 | |
| Educational level | Primary education | 24 | 15 | −1.050 |
| Junior high education | 11 | 6 | ||
| High school and post-secondary education | 12 | 3 | ||
| College degree or above | 5 | 11 | ||
| Marital status | Married | 52 | 33 | −1.734 |
| Single | 0 | 1 | ||
| Widowed | 0 | 1 | ||
| Smoking | Yes | 7 | 4 | 0.780 |
| No | 45 | 31 | ||
| Drinking | Yes | 6 | 7 | 0.283 |
| No | 46 | 28 | ||
| Comorbidity | Yes | 18 | 12 | 0.739 |
| No | 34 | 23 | ||
P < 0.01.
Logistic regression analysis of moderate or above pain at 1 month after surgery (n = 87).
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| Preoperative sleep disturbance | 1.333 | 6.331 | 3.794 | 1.261~11.409 | 0.018 |
| Educational level | 0.320 | 2.532 | - | - | 0.111 |
| Marital status | 19.926 | 0 | - | 0.929~2.024 | 0.999 |
P < 0.05.