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Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases



In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder.


All orthopedic trauma patients confined in a trauma ward in West China Hospital of Sichuan University between April 2018 and July 2019 were included in this retrospective study. Patients with mental impairment or craniocerebral injuries were excluded from the study. Basic demographic data and the Injury Severity Score (ISS) classification based on medical records were collected. The Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality, the visual analog scale (VAS) was used to evaluate physical pain, and the Barthel Index (BI) was used to evaluate activities of daily living (ADL). Univariate linear regression analysis and multivariate linear regression analysis were used to identify independently related factors.


The average PSQI score was 6.3 (± 4.0). A total of 581 (51.4%) patients had a PSQI score > 5, indicating the presence of sleep disorders. The PSQI score was > 10 in 174 (15.4%) patients. Univariate statistical analysis showed that age, sex, education, ADL, and ISS classification were associated with increased PSQI scores. Marital status and pain were not associated with increased PSQI scores. When we used multivariate analysis to control for confounding variables, sex, ADL, and ISS classification remained independently associated with PSQI (P = 0.002, < 0.000, and 0.002, respectively).


In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with traumatic orthopedic injury. The following factors were closely associated with sleep disorders: sex, ADL, and ISS classification. Moreover, age and educational attainment have an independent impact on sleep quality. Unexpectedly, the VAS score for pain was not independently associated with the seriousness of sleep quality, which may be related to preemptive and multimodal analgesia. Further studies are required to clarify this ambiguity.


Sleep disorders are highly prevalent after physically traumatic events and closely related to posttraumatic stress disorder (PTSD) and depression [1, 2]. Patients who suffer from trauma often require treatment for insomnia, nighttime arousals, and nightmares [3, 4]. In our experience, we observed that most orthopedic trauma patients cannot fall or stay asleep easily and quickly. Difficulty falling or staying asleep is an important component of PTSD because of repetitive nightmares caused by hyperarousal and intrusive processes [5].

Sleep disorders have serious impacts on general health, quality of life, and physical functioning [6, 7], resulting in physical disability [7]. Therefore, it can exacerbate the physical and functional limitations of orthopedic trauma patients. A cohort study indicated a strong correlation between physical disability and long-term psychological stress that combined poor sleep quality [8]. As treatment for sleep disorders in orthopedic trauma patients may not be beyond the scope of surgical practice, this serious traumatic complication cannot be ignored. We have a duty to determine the prevalence of sleep disorders in this patient population.

Many articles and reviews have shown that sleep disorders are caused by trauma, especially in patients with PTSD [1, 3, 4, 9,10,11]. We can also find literature related to the association between orthopedic trauma and depression [12]. Although sleep disorders may be the core feature of depression or PTSD [13], few studies evaluated sleep quality in orthopedic trauma patients, and only Swann et al. studied the factors and severity of sleep disorders in orthopedic trauma patients [14]. Moreover, there are no related studies from China on patients suffering from acute orthopedic trauma. This study aimed to evaluate the prevalence of sleep disorders in patients in the ward of a trauma center who suffered from an acute orthopedic injury. We also tried to identify factors associated with sleep disorders, such as patient features, injury severity, and physical pain.

Materials and methods


Following approval by our institutional review board, we conducted a cross-sectional and retrospective study of patients with orthopedic trauma in the ward of the trauma center of West China Hospital of Sichuan University. All patients who were admitted to the emergency department with acute physical injury, including acute closed fracture, acute open fracture, and skin soft-tissue defect with or without multiple trauma, between April 2018 and July 2019 were included. To ensure the accuracy of data, the exclusion criteria included the following: pediatric patients (0–11 years old), patients with mental impairment, craniocerebral injury, and other conditions that hindered them from completing the evaluation, and those whose electronic medical records were missing.

All eligible patients were evaluated for Pittsburgh sleep quality index (PSQI), physical pain on the visual analog scale (VAS), Barthel Index (BI), and Injury Severity Score (ISS) classification by nurses within 3 days of admission, and all related and demographic data of these patients were registered in the medical records we collected.

Main outcome measurements

The PSQI questionnaire is an effective method for assessing a patient’s sleep quality [15]. Nineteen items generate seven scores: sleep latency, sleep duration, habitual sleep efficiency, subjective sleep quality, use of sleeping medication, sleep disturbances, and daytime dysfunction. Then, we summed all parts of the scores; the total score was 21. For this study, we used PSQI > 5 as an indicator of sleep disorder, and PSQI > score 10 as severe sleep disorder. We expected the impact of sleep disorders and physical pain levels. We used the VAS to assess physical pain in patients with acute orthopedic trauma [16, 17]. The VAS was categorized as follows: no pain (0), mild pain (1–3), moderate pain (4–6), and severe pain (7–10).

The BI was used to assess the activities of daily living (ADL) of patients [18]. We used the 10-item scale, which included bathing, grooming, dressing, feeding, toilet use, transfers, mobility, bowels and bladder movement, and climbing the stairs. A total score of 0 indicated total dependence and a score of 100 indicated complete independence. In our study, we used the BI categorized as follows: severe dependence (0–40), moderate dependence (41–60), and mild dependence (61–99). Finally, we used the ISS and Abbreviated Injury Scale (AIS)-2015 to evaluate the traumatic level of patients [19, 20]. The precise ISS scores of patients could not be extracted from medical records, but we could obtain the ISS classification, which was registered in the nursing assessment sheet. The ISS was categorized as follows: severe injury (≥ 25), moderate injury (16–24), and mild injury (< 16).

Statistical analysis

Statistical analysis was performed using SPSS v.22 statistical software (IBM, Armonk, NY, USA). Demographic data and data on patient features were obtained, including age, sex, marital status, and education. We divided the educational attainment of patients into 10 grades as follows: below primary school, primary school, junior high school, technical secondary school, senior high school, junior college, bachelor’s degree, master’s degree, doctorate, and other. All categorical variables were set as dummy coding and substituted into the linear regression calculation. Mean and standard deviation (SD) or median and interquartile ranges were reported. Univariate linear regression was used to determine the potentially relevant variables for the sleep disorder. Relevant variables verified by the univariate analysis were included in a multivariate linear regression analysis to select for confounding variables and to isolate independent variables of sleep disorders.


Medical records of 1129 patients were included in the analysis, of which 680 (60.2%) were men and 449 (39.8%) were women. The average age was 50.4 ± 19.6 years, the male average age was 46.03 ± 17.6 years, and the female average age was 57.03 ± 20.5 years. A total of 886 (78.5%) patients were married, 152 (13.4%) were unmarried, and 91 (8.1%) were divorced or widowed. The total educational attainment was not high. Seventy-four (6.6%) patients did not graduate from primary school, 281 (24.9%) graduated from primary school, 331 (29.3%) graduated from junior high school, 68 (6.0%) graduated from technical secondary school, 130 (11.5%) graduated from senior high school, 101 (8.9%) from junior college, 115 (10.2%) have a bachelor’s degree, 13 (1.2%) have a master’s degree, and 2 (0.2%) have a doctorate. More than half of the patients (636, 56.3%) had pure closed fractures, 182 (16.1%) had open fractures, 140 (12.4%) had multiple traumas, 59 (5.2%) had severely damaged trauma and needed amputation, 79 (7.0%) had pure soft tissue defects, and 33 (2.9%) had a pure dislocation.

We also analyzed the VAS, BI, PSQI, and ISS classification in the medical records. A total of 923 (81.8%) patients were mildly injured, 154 (13.6%) were moderately injured, and 52 (4.6%) were severely injured. The average BI score was 36.7±21.5. Most patients (71.2%) were severely dependent, 14.1% were moderately dependent, and 13.9% were mildly dependent. The average VAS score was 2.3 ± 1.0. Most patients (89.0%) experienced mild pain, and 3.8% felt moderate pain. The average PSQI score was 6.3 ± 4.0. The distribution trends of the PSQI scores are shown in Fig. 1. Sleep disorders (PSQI > 5) were noted in 581 (51.5%) patients. The PSQI score was > 10 in 173 patients (15.4%). A summary of patient demographics and other scores is presented in Table 1.

Fig. 1

PSQI score distribution

Table 1 Demographic data and patient-reported outcome measures

Table 2 shows the results of the univariate linear regression analysis of PSQI. Age, sex, marital status, educational attainment, DRG, pain, ADL, and ISS classification were associated with PSQI in univariate analysis. These variables were then evaluated using multivariate linear regression analysis. However, only sex, ADL, and ISS classification were independent predictors of PSQI. Age and education were not independently associated with PSQI in multivariate analysis, indicating that the significant variables in univariate analysis were influenced by confounding variables. Unexpectedly, VAS was not vitally associated with PSQI in univariate analysis. The detailed data of the multivariate analysis are shown in Table 3.

Table 2 Univariate linear regression of PSQI
Table 3 Multivariate linear regression of PSQI


In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with acute traumatic orthopedic injury. Muscatelli revealed the incidence of depression and PTSD in patients with acute orthopedic trauma through a systematic review that included 7109 subjects in the analysis. They confirmed that in patients with acute orthopedic trauma, the weighted combined prevalence of depression and PTSD was 16.8% [12]. By comparing the results of our study with the data of that study, it can be gathered that the proportion of patients with severe sleep disorders is similar to the incidence of PTSD and depression. Some studies have shown that sleep disorders are closely related to PTSD and depression [1, 2], we believe that severe sleep disorders are associated with PTSD and depression. At the same time, PSQI scores > 10 could be regarded as an important indicator for predicting PTSD in patients with acute orthopedic trauma.

Interestingly, we found that the VAS score for physical pain was not correlated with sleep quality in our research results. The average VAS score was 2.3 ± 1.0, which is a low-level score. This is inconsistent with our previous experience, and the literature also pointed out that pain is closely associated with poor sleep quality [21, 22]. To determine what lead to this result, we checked the relevant medical records of inpatient and emergency departments. We found that the treatment of preemptive and multimodal analgesia is often arranged in patients with orthopedic trauma when the patients are hospitalized. Meanwhile, preemptive and multimodal analgesia therapy has been proven to alleviate the patient’s pain sensation and accelerate recovery [23]. When the patient’s pain was controlled, the incidence of sleep disorders in this study was still highly prevalent. Therefore, orthopedic physicians should realize that merely controlling physical pain cannot significantly improve the quality of sleep of patients. These physicians also need to pay attention to the psychological problems of patients after trauma.

Poor sleep quality is independently associated with physical disability [6, 7]. At the same time, sleep disorders may be a core feature of PTSD [13]. Therefore, comprehensive physical and psychological management is essential for patients with acute orthopedic trauma. Patients with sleep disorders should be identified early and treated as soon as possible, which is of great significance for the accelerated recovery of patients.

Among the demographic indicators, we selected age, sex, marital status, and educational attainment to perform univariate linear regression analysis with PQSI scores. A multicenter cross-sectional cohort study of 4399 outpatients showed that the incidence of sleep disorders is different between men and women in China [24]. In this study, women had a higher incidence of sleep disorders than men. Sleep disorders were also highly correlated with marital status, and women who were divorced or widowed were more likely to suffer from sleep disorders [25]. Sleep disorders were associated with lower educational attainment in men [24]. Similar results were obtained in the present study. In univariate regression, female sex and low educational attainment were associated with poor sleep quality, but the marital status was not related. After eliminating confounding factors among multiple factors, only sex was independently related to sleep disorders. This suggests that sleep disorders in patients with acute orthopedic trauma are still unique compared to those in the overall population. The company of relatives and a high level of education may help stabilize the patient’s mood and sleep quality; however, our results showed that the amount of help these provided to patients was limited. Necessary psychotherapy is still critical for patients who suffer from sleep loss, especially in female patients.

In addition, we found that the ADL and the severity of trauma had a significant impact on the patient’s sleep quality in our study. Most orthopedic trauma patients (71.2%) were severely dependent even if they had suffered only mild injuries (81.8% of patients had mild injuries). Most orthopedic patients experience a certain degree of loss of limb function. Even if the injury is minor, they still cannot complete some normal daily activities, such as getting out of bed, combing their hair, and washing their face. No related literature has been found to prove that ADL in orthopedic trauma patients is directly related to sleep quality; however, there is literature to explain and illustrate that the decline in ADL may lead to depression and sleep disorders [26]. Stronger evidence is needed to prove the relationship between ADL and sleep disorders. At the same time, we observed that the severity of trauma was independently related to sleep quality. In the orthopedic ward of our trauma center, in addition to the patients in this city, we also accepted critically ill patients from other cities in Southwest China. Therefore, a sufficient number of patients with multiple, severe injuries were included in the study. These patients had higher ISS scores and worse sleep quality. In a previous study, the ISS scores of orthopedic trauma patients were positively correlated with somatic anxiety [27]. A higher degree of anxiety seriously affects the patient’s sleep quality, leading to sleep disorders. There is also literature showing that the severity of trauma is not related to sleep quality [14]. This result may be related to the low proportion of patients with multiple injuries included in this study. This requires prospective cohort studies to further confirm the relationship between trauma severity and sleep quality.

The biggest limitation of our study was its retrospective cross-sectional case analysis. All data were obtained from the nurses’ assessment of the patient’s admission. Sleep quality assessment also came from clinical nurses rather than professional investigators. This does not guarantee the consistency of the assessments. At the same time, the ISS score lacks precise numerical values, as it was only a grade evaluation, so the statistical validity was insufficient. Finally, we only collected data from a single level 1 trauma center. Prospective comparative studies are needed to further clarify the impact of relevant risk factors on patients' sleep quality to establish clinical prevention methods.


Sleep disorders in patients with acute orthopedic trauma are very common and severe. A patient’s sex, ability to perform daily living activities, and severity of trauma significantly affect sleep quality. However, age, marital status, and educational attainment have a limited influence on sleep quality. Being female, poor ability of daily living, and severe physical trauma should be accepted as independent risk factors for sleep disorders in patients with acute orthopedic trauma.

Availability of data and materials

Datasets are available from the corresponding author on reasonable request.



Pittsburgh sleep quality index


Visual analog scale


Injury Severity Score


Barthel Index


Activities of daily living


  1. 1.

    Caldwell BA, Redeker N. Sleep and trauma: an overview. Issues Ment Health Nurs. 2005;26(7):721–38.

    Article  PubMed  Google Scholar 

  2. 2.

    Baglioni C, Battagliese G, Feige B, Spiegelhalder K, Nissen C, Voderholzer U, et al. Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. J Affect Disord. 2011;135(1):10–9.

    Article  PubMed  Google Scholar 

  3. 3.

    Mellman TA, Davis GC. Combat-related flashbacks in posttraumatic stress disorder: phenomenology and similarity to panic attacks. J Clin Psychiatry. 1985;46(9):379–82.

    CAS  PubMed  Google Scholar 

  4. 4.

    Thordardottir EB, Hansdottir I, Valdimarsdottir UA, Shipherd JC, Resnick H, Gudmundsdottir B. The manifestations of sleep disturbances 16 years post-trauma. Sleep. 2016;39(8):1551–4.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Battle DE. Diagnostic and Statistical Manual of Mental Disorders (DSM). CoDAS. 2013;25(2):191–2.

    Article  Google Scholar 

  6. 6.

    Altemus M, Cloitre M, Dhabhar FS. Enhanced cellular immune response in women with PTSD related to childhood abuse. Am J Psychiatry. 2003;160(9):1705–7.

    Article  PubMed  Google Scholar 

  7. 7.

    Chien MY, Chen HC. Poor sleep quality is independently associated with physical disability in older adults. J Clin Sleep Med. 2015;11(3):225–32.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    McFarlane AC. The long-term costs of traumatic stress: intertwined physical and psychological consequences. World Psychiatry. 2010;9(1):3–10.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Babson KA, Feldner MT. Temporal relations between sleep problems and both traumatic event exposure and PTSD: a critical review of the empirical literature. J Anxiety Disord. 2010;24(1):1–15.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Lommen MJ, Grey N, Clark DM, Wild J, Stott R, Ehlers A. Sleep and treatment outcome in posttraumatic stress disorder: results from an effectiveness study. Depress Anxiety. 2016;33(7):575–83.

    Article  PubMed  Google Scholar 

  11. 11.

    Miller KE, Brownlow JA, Woodward S, Gehrman PR. Sleep and dreaming in posttraumatic stress disorder. Curr Psychiatry Rep. 2017;19(10):71.

    Article  PubMed  Google Scholar 

  12. 12.

    Muscatelli S, Spurr H, OʼHara NN, OʼHara LM, Sprague SA, Slobogean GP. Prevalence of depression and posttraumatic stress disorder after acute orthopedic trauma: a systematic review and meta-analysis. J Orthop Trauma. 2017;31(1):47–55.

    Article  PubMed  Google Scholar 

  13. 13.

    Spoormaker VI, Montgomery P. Disturbed sleep in post-traumatic stress disorder: secondary symptom or core feature? Sleep Med Rev. 2008;12(3):169–84.

    Article  PubMed  Google Scholar 

  14. 14.

    Swann MC, Batty M, Hu G, Mitchell T, Box H, Starr A. Sleep disturbance in orthopaedic trauma patients. J Orthop Trauma. 2018;32(10):500–4.

    Article  PubMed  Google Scholar 

  15. 15.

    Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Bijur PE, Silver W, Gallagher EJ. Reliability of the visual analog scale for measurement of acute pain. Acad Emerg Med Off J Soc Acad Emerg Med. 2001;8(12):1153–7.

    CAS  Article  Google Scholar 

  17. 17.

    Scott J, Huskisson EC. Graphic representation of pain. Pain. 1976;2(2):175–84.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md State Med J. 1965;14:61–5.

    CAS  PubMed  Google Scholar 

  19. 19.

    Baker SP, O’Neill B, Haddon W Jr, Long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma. 1974;14(3):187–96.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    Loftis KL, Price J, Gillich PJ. Evolution of the abbreviated injury scale: 1990-2015. Traffic Inj Prev. 2018;19(sup2):S109–s13.

    Article  Google Scholar 

  21. 21.

    Finan PH, Goodin BR, Smith MT. The association of sleep and pain: an update and a path forward. J Pain. 2013;14(12):1539–52.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Amtmann D, Bamer AM, Askew R, Jensen MP. Cross-lagged longitudinal analysis of pain intensity and sleep disturbance. Disabil Health J. 2020;13(3):100908.

    Article  PubMed  Google Scholar 

  23. 23.

    Ibrahim MS, Twaij H, Giebaly DE, Nizam I, Haddad FS. Enhanced recovery in total hip replacement: a clinical review. Bone Jjoint J. 2013;95-b(12):1587–94.

    CAS  Article  Google Scholar 

  24. 24.

    Zheng W, Luo XN, Li HY, Ke XY, Dai Q, Zhang CJ, et al. Gender differences in the prevalence and clinical correlates of sleep disturbance in general hospital outpatients. Psychiatry Res. 2018;269:134–9.

    Article  PubMed  Google Scholar 

  25. 25.

    Li RHY, Wing YK, Ho SC, Fong SYY. Gender differences in insomnia—a study in the Hong Kong Chinese population. J Psychosom Res. 2002;53(1):601–9.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Webb CA, Cui R, Titus C, Fiske A, Nadorff MR. Sleep disturbance, activities of daily living, and depressive symptoms among older adults. Clin Gerontol. 2018;41(2):172–80.

    Article  PubMed  Google Scholar 

  27. 27.

    Wu H, Zhang F, Cheng W, Lin Y, Wang Q. Factors related to acute anxiety and depression in inpatients with accidental orthopaedic injuries. Shanghai Arch Psychiatry. 2017;29(2):77–84.

    Article  PubMed  Google Scholar 

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The authors thank Dan. H. Zhao in providing language help.


This study was supported by the Sichuan Province Science and Technology Support Program of China (Grant No.2020YFS0153 to Ling-li Li).

Author information




HY, YL, and XH provided the ideas of this study. HY, YL, JL, and LZ collected the data. HY and YL analyzed the data. LL and XH helped with the interpretation of data. LL provided the funding. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiao-ling Hou.

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Before the study began, we had carefully consulted the Ethics Committee and Institutional Review Board of West China Hospital. They suggested that this study did not involve special interventions for patients and we should conduct this study in compliance with the Helsinki Declaration and inform patients fully of the purpose of the study. So, all data was fully anonymized at-source with researchers. Given the anonymous nature of the data, the ethics committee waived any requirement for patient informed consent.

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Yang, H., Liu, Yj., Ye, Jl. et al. Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases. J Orthop Surg Res 16, 344 (2021).

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  • Orthopedic trauma
  • Sleep disorder
  • Sleep
  • Pittsburgh sleep quality index