Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis

•Depressive patients less active with longer wake after sleep onset than healthy controls.•Total sleep time, sleep latency, and wake after sleep onset longer in euthymic/remitted patients than healthy controls.•Sleep latency, wake after sleep onset, and sleep efficiency significantly improved in pre...

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Veröffentlicht in:Journal of affective disorders 2019-06, Vol.253, p.257-269
Hauptverfasser: Tazawa, Yuuki, Wada, Masataka, Mitsukura, Yasue, Takamiya, Akihiro, Kitazawa, Momoko, Yoshimura, Michitaka, Mimura, Masaru, Kishimoto, Taishiro
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container_title Journal of affective disorders
container_volume 253
creator Tazawa, Yuuki
Wada, Masataka
Mitsukura, Yasue
Takamiya, Akihiro
Kitazawa, Momoko
Yoshimura, Michitaka
Mimura, Masaru
Kishimoto, Taishiro
description •Depressive patients less active with longer wake after sleep onset than healthy controls.•Total sleep time, sleep latency, and wake after sleep onset longer in euthymic/remitted patients than healthy controls.•Sleep latency, wake after sleep onset, and sleep efficiency significantly improved in pre- and post-treatment comparisons. Actigraphy has enabled consecutive observation of individual health conditions such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in evaluating depressive and/or bipolar disorder symptoms. A systematic review and meta-analysis was conducted. We selected studies that used actigraphy to compare either patients vs. healthy controls, or pre- vs. post-treatment data from the same patient group. Common actigraphy measurements, namely daily activity and sleep-related data, were extracted and synthesized. Thirty-eight studies (n = 3,758) were included in the analysis. Compared with healthy controls, depressive patients were less active (standardized mean difference; SMD=1.27, 95%CI=[0.97, 1.57], P
doi_str_mv 10.1016/j.jad.2019.04.087
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Actigraphy has enabled consecutive observation of individual health conditions such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in evaluating depressive and/or bipolar disorder symptoms. A systematic review and meta-analysis was conducted. We selected studies that used actigraphy to compare either patients vs. healthy controls, or pre- vs. post-treatment data from the same patient group. Common actigraphy measurements, namely daily activity and sleep-related data, were extracted and synthesized. Thirty-eight studies (n = 3,758) were included in the analysis. Compared with healthy controls, depressive patients were less active (standardized mean difference; SMD=1.27, 95%CI=[0.97, 1.57], P&lt;0.001) and had longer wake after sleep onset (SMD= − 0.729, 95%CI=[− 1.20, − 0.25], p = 0.003). Total sleep time (SMD= − 0.33, 95%CI=[− 0.55, − 0.11], P = 0.004), sleep latency (SMD= − 0.22, 95%CI=[− 0.42, − 0.02], P = 0.032), and wake after sleep onset (SMD= − 0.22, 95%CI=[− 0.39, − 0.04], P = 0.015) were longer in euthymic/remitted patients compared to healthy controls. In pre- and post-treatment comparisons, sleep latency (SMD=− 0.85, 95%CI=[− 1.53, − 0.17], P = 0.015), wake after sleep onset (SMD= − 0.65, 95%CI=[− 1.20, − 0.10], P = 0.022), and sleep efficiency (SMD=0.77, 95%CI=[0.29, 1.24], P = 0.002) showed significant improvement. The sample sizes for each outcome were small. The type of actigraphy devices and patients’ illness severity differed across studies. It is possible that hospitalizations and medication influenced the outcomes. We found significant differences between healthy controls and mood disorders patients for some actigraphy-measured modalities. Specific measurement patterns characterizing each mood disorder/status were also found. Additional actigraphy data linked to severity and/or treatment could enhance the clinical utility of actigraphy.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2019.04.087</identifier><identifier>PMID: 31060012</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Actigraphy ; Activities of Daily Living ; Activity ; Adult ; Bipolar disorder ; Bipolar Disorder - diagnosis ; Cyclothymic Disorder ; Depression ; Female ; Humans ; Male ; Mood Disorders - physiopathology ; Polysomnography ; Sleep ; Sleep Wake Disorders - diagnosis ; Wearable device</subject><ispartof>Journal of affective disorders, 2019-06, Vol.253, p.257-269</ispartof><rights>2019</rights><rights>Copyright © 2019. 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Actigraphy has enabled consecutive observation of individual health conditions such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in evaluating depressive and/or bipolar disorder symptoms. A systematic review and meta-analysis was conducted. We selected studies that used actigraphy to compare either patients vs. healthy controls, or pre- vs. post-treatment data from the same patient group. Common actigraphy measurements, namely daily activity and sleep-related data, were extracted and synthesized. Thirty-eight studies (n = 3,758) were included in the analysis. Compared with healthy controls, depressive patients were less active (standardized mean difference; SMD=1.27, 95%CI=[0.97, 1.57], P&lt;0.001) and had longer wake after sleep onset (SMD= − 0.729, 95%CI=[− 1.20, − 0.25], p = 0.003). Total sleep time (SMD= − 0.33, 95%CI=[− 0.55, − 0.11], P = 0.004), sleep latency (SMD= − 0.22, 95%CI=[− 0.42, − 0.02], P = 0.032), and wake after sleep onset (SMD= − 0.22, 95%CI=[− 0.39, − 0.04], P = 0.015) were longer in euthymic/remitted patients compared to healthy controls. In pre- and post-treatment comparisons, sleep latency (SMD=− 0.85, 95%CI=[− 1.53, − 0.17], P = 0.015), wake after sleep onset (SMD= − 0.65, 95%CI=[− 1.20, − 0.10], P = 0.022), and sleep efficiency (SMD=0.77, 95%CI=[0.29, 1.24], P = 0.002) showed significant improvement. The sample sizes for each outcome were small. The type of actigraphy devices and patients’ illness severity differed across studies. It is possible that hospitalizations and medication influenced the outcomes. We found significant differences between healthy controls and mood disorders patients for some actigraphy-measured modalities. Specific measurement patterns characterizing each mood disorder/status were also found. Additional actigraphy data linked to severity and/or treatment could enhance the clinical utility of actigraphy.</description><subject>Actigraphy</subject><subject>Activities of Daily Living</subject><subject>Activity</subject><subject>Adult</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - diagnosis</subject><subject>Cyclothymic Disorder</subject><subject>Depression</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mood Disorders - physiopathology</subject><subject>Polysomnography</subject><subject>Sleep</subject><subject>Sleep Wake Disorders - diagnosis</subject><subject>Wearable device</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEFP3DAQRq2Kqmxpf0AvlY9cks44GyempxWCthJSpQrOlmOPwaskXuws1f77Gi3lyGku73vSPMa-INQIKL9t661xtQBUNaxr6Lt3bIVt11Sixe6ErQrTVtCI7pR9zHkLAFJ18IGdNggSAMWK_dnYJdwns3s4cB8Tpycz7s0S4syj51OMjruQY3KU8gXf8HzIC00FsDzRU6C_3MyOT7SYysxmPOSQP7H33oyZPr_cM3Z3fXV7-bO6-f3j1-XmprJrVEtFAwH2TlkUhEJ42feyI1DKd9KhB6LGwyDMIHwLXsmhG0RjzWB606ASsjlj50fvLsXHPeVFTyFbGkczU9xnLUSDvZKibQuKR9SmmHMir3cpTCYdNIJ-Tqm3uqTUzyk1rHVJWTZfX_T7YSL3uvjfrgDfjwCVJ0uKpLMNNFtyIZFdtIvhDf0_MkCEcA</recordid><startdate>20190615</startdate><enddate>20190615</enddate><creator>Tazawa, Yuuki</creator><creator>Wada, Masataka</creator><creator>Mitsukura, Yasue</creator><creator>Takamiya, Akihiro</creator><creator>Kitazawa, Momoko</creator><creator>Yoshimura, Michitaka</creator><creator>Mimura, Masaru</creator><creator>Kishimoto, Taishiro</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20190615</creationdate><title>Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis</title><author>Tazawa, Yuuki ; Wada, Masataka ; Mitsukura, Yasue ; Takamiya, Akihiro ; Kitazawa, Momoko ; Yoshimura, Michitaka ; Mimura, Masaru ; Kishimoto, Taishiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-ebe018d9c12e122f68867e099f76d1f0ee3f0b2ab2f50f96b7b23caba8a319263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Actigraphy</topic><topic>Activities of Daily Living</topic><topic>Activity</topic><topic>Adult</topic><topic>Bipolar disorder</topic><topic>Bipolar Disorder - diagnosis</topic><topic>Cyclothymic Disorder</topic><topic>Depression</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mood Disorders - physiopathology</topic><topic>Polysomnography</topic><topic>Sleep</topic><topic>Sleep Wake Disorders - diagnosis</topic><topic>Wearable device</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tazawa, Yuuki</creatorcontrib><creatorcontrib>Wada, Masataka</creatorcontrib><creatorcontrib>Mitsukura, Yasue</creatorcontrib><creatorcontrib>Takamiya, Akihiro</creatorcontrib><creatorcontrib>Kitazawa, Momoko</creatorcontrib><creatorcontrib>Yoshimura, Michitaka</creatorcontrib><creatorcontrib>Mimura, Masaru</creatorcontrib><creatorcontrib>Kishimoto, Taishiro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tazawa, Yuuki</au><au>Wada, Masataka</au><au>Mitsukura, Yasue</au><au>Takamiya, Akihiro</au><au>Kitazawa, Momoko</au><au>Yoshimura, Michitaka</au><au>Mimura, Masaru</au><au>Kishimoto, Taishiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2019-06-15</date><risdate>2019</risdate><volume>253</volume><spage>257</spage><epage>269</epage><pages>257-269</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><abstract>•Depressive patients less active with longer wake after sleep onset than healthy controls.•Total sleep time, sleep latency, and wake after sleep onset longer in euthymic/remitted patients than healthy controls.•Sleep latency, wake after sleep onset, and sleep efficiency significantly improved in pre- and post-treatment comparisons. Actigraphy has enabled consecutive observation of individual health conditions such as sleep or daily activity. This study aimed to examine the usefulness of actigraphy in evaluating depressive and/or bipolar disorder symptoms. A systematic review and meta-analysis was conducted. We selected studies that used actigraphy to compare either patients vs. healthy controls, or pre- vs. post-treatment data from the same patient group. Common actigraphy measurements, namely daily activity and sleep-related data, were extracted and synthesized. Thirty-eight studies (n = 3,758) were included in the analysis. Compared with healthy controls, depressive patients were less active (standardized mean difference; SMD=1.27, 95%CI=[0.97, 1.57], P&lt;0.001) and had longer wake after sleep onset (SMD= − 0.729, 95%CI=[− 1.20, − 0.25], p = 0.003). Total sleep time (SMD= − 0.33, 95%CI=[− 0.55, − 0.11], P = 0.004), sleep latency (SMD= − 0.22, 95%CI=[− 0.42, − 0.02], P = 0.032), and wake after sleep onset (SMD= − 0.22, 95%CI=[− 0.39, − 0.04], P = 0.015) were longer in euthymic/remitted patients compared to healthy controls. In pre- and post-treatment comparisons, sleep latency (SMD=− 0.85, 95%CI=[− 1.53, − 0.17], P = 0.015), wake after sleep onset (SMD= − 0.65, 95%CI=[− 1.20, − 0.10], P = 0.022), and sleep efficiency (SMD=0.77, 95%CI=[0.29, 1.24], P = 0.002) showed significant improvement. The sample sizes for each outcome were small. The type of actigraphy devices and patients’ illness severity differed across studies. It is possible that hospitalizations and medication influenced the outcomes. We found significant differences between healthy controls and mood disorders patients for some actigraphy-measured modalities. Specific measurement patterns characterizing each mood disorder/status were also found. Additional actigraphy data linked to severity and/or treatment could enhance the clinical utility of actigraphy.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>31060012</pmid><doi>10.1016/j.jad.2019.04.087</doi><tpages>13</tpages></addata></record>
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subjects Actigraphy
Activities of Daily Living
Activity
Adult
Bipolar disorder
Bipolar Disorder - diagnosis
Cyclothymic Disorder
Depression
Female
Humans
Male
Mood Disorders - physiopathology
Polysomnography
Sleep
Sleep Wake Disorders - diagnosis
Wearable device
title Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis
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