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Abstract：
Insomnia has not been explored as it relates to recovery after mild traumatic brain injury (mTBI). We aimed to evaluate the prevalence of insomnia among Ontario workers with delayed recovery from mTBI, and its relationship with sociodemographic, TBI- and claim-related, behavioral, and clinical factors.
This was a cross-sectional study carried out over a period of 24 months in a large rehabilitation hospital in Ontario. To assess the prevalence of insomnia, we used the Insomnia Severity Index (ISI). Data were collected from standardized questionnaires, insurer records, and clinical assessment at the time of recruitment. Bivariate associations were calculated using the Spearman\'s correlation coefficient or analysis of variance. We established stepwise multivariate linear regression models of factors associated with insomnia. Additional analyses, including the assessment of the internal consistency of the ISI, were performed.
Of the 94 participants diagnosed with mTBI, clinical insomnia was reported by 69.2%. The mean age was 45.20 ± 9.94 years; 61.2% were men. No sex-related differences were observed in insomnia prevalence or severity. Insomnia was significantly associated with certain sociodemographic, claim-related, behavioral, and clinical variables. In the multivariable regression analysis, several determinants explained 53% of the insomnia variance. The internal consistency of the ISI, as measured by Cronbach\'s α, was 0.86.
Insomnia is common in persons with delayed recovery from mTBI, and is significantly associated with potentially modifiable clinical and nonclinical variables. Care of persons with brain injury requires greater attention with regard to the diagnosis and management of insomnia and associated disorders.
This was a cross-sectional study carried out over a period of 24 months in a large rehabilitation hospital in Ontario. To assess the prevalence of insomnia, we used the Insomnia Severity Index (ISI). Data were collected from standardized questionnaires, insurer records, and clinical assessment at the time of recruitment. Bivariate associations were calculated using the Spearman\'s correlation coefficient or analysis of variance. We established stepwise multivariate linear regression models of factors associated with insomnia. Additional analyses, including the assessment of the internal consistency of the ISI, were performed.
Of the 94 participants diagnosed with mTBI, clinical insomnia was reported by 69.2%. The mean age was 45.20 ± 9.94 years; 61.2% were men. No sex-related differences were observed in insomnia prevalence or severity. Insomnia was significantly associated with certain sociodemographic, claim-related, behavioral, and clinical variables. In the multivariable regression analysis, several determinants explained 53% of the insomnia variance. The internal consistency of the ISI, as measured by Cronbach\'s α, was 0.86.
Insomnia is common in persons with delayed recovery from mTBI, and is significantly associated with potentially modifiable clinical and nonclinical variables. Care of persons with brain injury requires greater attention with regard to the diagnosis and management of insomnia and associated disorders.
摘要：
尚未探索失眠，因为它与轻度创伤性脑损伤（mTBI）后的恢复有关。我们旨在评估安大略省mTBI延迟恢复的工人失眠的患病率，以及它与社会人口统计学的关系，TBI-与索赔相关，行为，和临床因素。
这是一项在安大略省一家大型康复医院进行的为期24个月的横断面研究。评估失眠的患病率，我们使用了失眠严重程度指数（ISI）。数据来自标准化问卷，保险公司记录，和招募时的临床评估。使用Spearman相关系数或方差分析计算双变量关联。我们建立了失眠相关因素的逐步多元线性回归模型。其他分析，包括对ISI内部一致性的评估，被执行了。
在94名被诊断为mTBI的参与者中，临床失眠报告为69.2%.平均年龄为45.20±9.94岁；61.2％为男性。在失眠的患病率或严重程度上没有观察到与性别相关的差异。失眠与某些社会人口统计学显著相关，索赔相关，行为，和临床变量。在多元回归分析中，几个决定因素解释了53%的失眠变异。ISI的内部一致性，用克朗巴赫的α来衡量，是0.86
失眠常见于mTBI延迟恢复的患者，并且与潜在可修改的临床和非临床变量显著相关。在失眠和相关疾病的诊断和管理方面，对脑损伤患者的护理需要更多的关注。
这是一项在安大略省一家大型康复医院进行的为期24个月的横断面研究。评估失眠的患病率，我们使用了失眠严重程度指数（ISI）。数据来自标准化问卷，保险公司记录，和招募时的临床评估。使用Spearman相关系数或方差分析计算双变量关联。我们建立了失眠相关因素的逐步多元线性回归模型。其他分析，包括对ISI内部一致性的评估，被执行了。
在94名被诊断为mTBI的参与者中，临床失眠报告为69.2%.平均年龄为45.20±9.94岁；61.2％为男性。在失眠的患病率或严重程度上没有观察到与性别相关的差异。失眠与某些社会人口统计学显著相关，索赔相关，行为，和临床变量。在多元回归分析中，几个决定因素解释了53%的失眠变异。ISI的内部一致性，用克朗巴赫的α来衡量，是0.86
失眠常见于mTBI延迟恢复的患者，并且与潜在可修改的临床和非临床变量显著相关。在失眠和相关疾病的诊断和管理方面，对脑损伤患者的护理需要更多的关注。
