首页> 外文期刊>Sleep medicine >Insomnia symptoms as a predictor of incident treatment for depression: Prospective cohort study of 40,791 men and women
【24h】

Insomnia symptoms as a predictor of incident treatment for depression: Prospective cohort study of 40,791 men and women

机译:失眠症状可作为抑郁症事件治疗的预测指标:前瞻性队列研究研究了40,791名男性和女性

获取原文
获取原文并翻译 | 示例
           

摘要

Objective: To examine the quantity and quality of insomnia symptoms as predictors of treatment for depression in the largest cohort study to date. Methods: Forty thousand seven hundred and ninety-one Finnish public sector employees (mean age 43.9. years, 81% female), free of depression at baseline, participated in this prospective observational cohort study. Participants responded to the survey in 2000-2002 or 2004 and the mean follow-up was 3.3. years. Self-reported sleep was linked to comprehensive individual-level health registers to assess treatment for depression (antidepressant medication, commencements of psychotherapy or hospitalization due to depression). Results: One thousand seven hundred and three participants fulfilled any of our set criteria for depression-related treatment. After adjustments for baseline characteristics, insomnia symptoms five to seven nights/week were associated with an increased risk of incident treatment for depression, hazard ratio 1.64 (95% confidence interval 1.44-1.86). Hazard ratio for symptoms two to four nights/week was 1.46 (1.29-1.64). Difficulties initiating or maintaining sleep and non-refreshing sleep increased the risk when analyzed separately. Those reporting all four symptoms at least twice a week had 2.09-fold (1.75-2.49) risk. The findings did not materially change after excluding depression cases within the first two years of the follow-up. Conclusions: These data suggest an association between insomnia symptoms and moderately increased risk of clinically significant depression outcomes. Insomnia should be considered as a component in prediction models for new-onset depression.
机译:目的:在迄今为止最大的队列研究中,检查失眠症状的数量和质量,作为抑郁症治疗预测的指标。方法:479名芬兰公共部门雇员(平均年龄43.9。岁,女性81%)在基线时没有抑郁,参加了这项前瞻性观察性队列研究。参与者在2000-2002或2004年对调查进行了答复,平均随访率为3.3。年份。自我报告的睡眠与综合的个人健康状况记录相联系,以评估抑郁症的治疗(抗抑郁药,因抑郁症而开始的心理治疗或住院治疗)。结果:173位参与者符合我们针对抑郁症相关治疗设定的任何标准。在调整了基线特征后,每周五至七个晚上的失眠症状与抑郁症的突发事件治疗风险增加相关,危险比1.64(95%置信区间1.44-1.86)。每周两到四晚的症状危险率为1.46(1.29-1.64)。单独进行分析时,难以启动或维持睡眠以及难以恢复睡眠的风险增加了风险。每周至少两次报告所有四种症状的患者,其风险为2.09倍(1.75-2.49)。在随访的头两年内排除抑郁症病例后,发现没有实质性改变。结论:这些数据表明失眠症状与临床上显着的抑郁结果的风险适度增加之间存在关联。失眠应被视为新发抑郁症预测模型的组成部分。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号