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哈佛大学84万人的研究发现:晚上11点前睡觉,抑郁风险降低40%!

2021-06-01 K.K MedSci原创

早上可以喝杯咖啡。方便的话,步行或骑自行车上班,晚上将电子产品调暗

昼夜偏好已经成为严重抑郁症(MDD)风险的潜在因素,先前的孟德尔随机化研究(MR)发现了昼夜偏好与幸福感和精神分裂症有关的证据,但对严重抑郁症的关联是没有的。5月26日,麻省理工学院和哈佛大学布罗德研究所等研究人员发表在JAMA Psychiatry上的一项约84万人的研究发现:在特定时间里,一个人的某些睡眠倾向可能会导致抑郁症风险。这项MR分析发现了较早的昼夜偏好与较低的MDD风险之间存在保护性关联的有力的证据。

Iyas Daghlas et al, Genetically Proxied Diurnal Preference, Sleep Timing, and Risk of Major Depressive Disorder,JAMA Psychiatry(2021).DOI: 10.1001/jamapsychiatry.2021.0959

研究数据包含英国生物样本库(UKB)、23andMe公司、全基因组关联(GWAS)研究的数据,其中,GWAS中有697828位,23andMe公司有24098位,UKB有85502位。

研究人员发现,遗传学上的昼夜偏好与MDD的风险降低有关。睡眠中点(就寝时间和醒来时间之间)提前0.5小时的MDD的优势比为0.88,表示患病风险很低。换句话说,如果一个通常在凌晨1点左右睡觉的人改在凌晨前睡觉,睡同样的时间,他们可以降低23%的风险;如果他们在晚上11点前睡觉,他们可以降低约40%的风险。

昼夜偏好与重度抑郁障碍的关系

也有证据表明,睡眠时相推迟综合症与MDD风险和抑郁症状增加有关,特别是昼夜节律紊乱的人中,这可能是一种严重的夜间偏好。睡眠时相推迟综合症是一种与生物钟有关的睡眠问题,是昼夜生物节律睡眠障碍。

研究数据与最近一项随机临床试验的结果一致,该干预试验改变了晚间昼夜偏好的人的睡眠时间。多方面的干预措施包括睡眠时间、进餐时间、光照、咖啡因摄入、午睡行为和运动行为,这一干预措施使睡眠-觉醒时间平均提前了2个小时,并促进了昏暗条件下褪黑素的出现,且干预措施没有导致睡眠剥夺或昼夜节律失调。研究结果发现:参与干预组的人员总体抑郁、焦虑和压力量表得分都有所改善,抑郁和压力亚表的得分也有所改善。

而这项试验为干预措施的可行性提供了证据,即在不缩短睡眠等情况下产生了睡眠和昼夜节律的转变。虽然这项试验也支持晨起对情绪的保护,但该研究规模较小(n = 22),而且没有硬性的临床终点。

对于那些想要将作息时间表提早的人,资深作者 Celine Vetter提供了以下建议:

她说。"早上可以喝杯咖啡。方便的话,步行或骑自行车上班,晚上将电子产品调暗。"

 

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    2021-11-09 湘雅科教

    已拜读,受益匪浅。

    0

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    2021-06-02 tsing_hit
  6. [GetPortalCommentsPageByObjectIdResponse(id=2039725, encodeId=590d2039e25d9, content=<a href='/topic/show?id=d0f554991f6' target=_blank style='color:#2F92EE;'>#抑郁风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=54991, encryptionId=d0f554991f6, topicName=抑郁风险)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=726030, createdName=Boyinsh, createdTime=Sun Jan 16 02:34:34 CST 2022, time=2022-01-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1753590, encodeId=fa191e53590d7, content=<a href='/topic/show?id=6a57e33772b' target=_blank style='color:#2F92EE;'>#研究发现#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=67, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=73377, encryptionId=6a57e33772b, topicName=研究发现)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=7e1736602208, createdName=hanhaisha2020, createdTime=Mon May 09 20:34:34 CST 2022, time=2022-05-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1068444, encodeId=cdb0106844438, content=已拜读,受益匪浅。, beContent=null, objectType=article, channel=null, level=null, likeNumber=81, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6c905475903, createdName=湘雅科教, createdTime=Tue Nov 09 10:21:08 CST 2021, time=2021-11-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1820722, encodeId=21781820e2292, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Mon Sep 13 04:34:34 CST 2021, time=2021-09-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1540730, encodeId=4fd11540e3020, content=<a href='/topic/show?id=be0ae30534b' target=_blank style='color:#2F92EE;'>#睡觉#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=73053, encryptionId=be0ae30534b, topicName=睡觉)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=cb5913283122, createdName=tsing_hit, createdTime=Wed Jun 02 06:34:34 CST 2021, time=2021-06-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1557522, encodeId=6acc155e5227c, content=<a href='/topic/show?id=7bec398e2e6' target=_blank style='color:#2F92EE;'>#哈佛#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=39872, encryptionId=7bec398e2e6, topicName=哈佛)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=1c7014916331, createdName=amyloid, createdTime=Wed Jun 02 06:34:34 CST 2021, time=2021-06-02, status=1, ipAttribution=)]
    2021-06-02 amyloid

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